阅读说明：本技术 一种阀门泄漏监测的无线声学成像方法及装置 (Wireless acoustic imaging method and device for valve leakage monitoring ) 是由 罗国栋 于 2021-06-25 设计创作，主要内容包括：本发明提供一种阀门泄漏监测的无线声学成像方法及装置,其中,方法包括：步骤S1：移动相机,将镜头对准需要进行阀门泄漏监测的目标区域；步骤S2：检测目标区域内是否有阀门发生泄漏,若是,获取阀门发生泄漏的泄漏位置数据和泄漏强度数据；步骤S3：基于泄漏位置数据和泄漏强度数据制作泄漏图像；步骤S4：将泄漏图像与镜头拍摄的目标区域的现场图像进行融合,输出融合结果。本发明的阀门泄漏监测的无线声学成像方法及装置,当相机的镜头对准目标区域时,在显示屏内既显示目标区域的现场图像,也显示发生阀门泄漏的位置,无需在各个阀门处或多个阀门的聚集区域设置专门的声学传感器阵列,降低了成本。(The invention provides a wireless acoustic imaging method and a wireless acoustic imaging device for valve leakage monitoring, wherein the method comprises the following steps: step S1: moving a camera, and aligning a lens to a target area needing valve leakage monitoring; step S2: detecting whether a valve leaks in a target area, and if so, acquiring leakage position data and leakage intensity data of the valve; step S3: producing a leak image based on the leak location data and the leak intensity data; step S4: and fusing the leakage image with the scene image of the target area shot by the lens, and outputting a fusion result. According to the wireless acoustic imaging method and device for monitoring the valve leakage, when the lens of the camera is aligned to the target area, the field image of the target area and the position where the valve leakage occurs are displayed in the display screen, a special acoustic sensor array does not need to be arranged at each valve or in the gathering area of a plurality of valves, and the cost is reduced.)

1. A wireless acoustic imaging method for valve leak monitoring, comprising:

step S1: moving a camera, and aligning a lens to a target area needing valve leakage monitoring;

step S2: detecting whether a valve leaks in the target area, and if so, acquiring leakage position data and leakage intensity data of the valve;

step S3: producing a leak image based on the leak location data and the leak intensity data;

step S4: and fusing the leakage image with the scene image of the target area shot by the lens, and outputting a fusion result.

2. The wireless acoustic imaging method for valve leak monitoring according to claim 1, wherein the step S3: producing a leak image based on the leak location data and the leak intensity data, comprising:

analyzing the leakage position data to obtain a plurality of leakage position points;

analyzing the leakage intensity data to obtain leakage intensity values corresponding to the leakage position points one by one;

establishing a color comparison library, and determining a color corresponding to the leakage intensity value based on the color comparison library;

acquiring a preset transparent image, wherein the size of the transparent image is the same as that of the field image;

marking the color on the transparent image at a marked location point corresponding to the respective leak location point;

and when all the colors are marked, taking the transparent image as a leakage image to finish the manufacturing.

3. The method of wireless acoustic imaging for valve leak monitoring of claim 2, wherein creating a color comparison library comprises:

obtaining color conspicuity survey data, the color conspicuity survey data comprising: a first investigation result replied by a plurality of users after accepting the investigation of the specified color eye-catching degree;

acquiring behavior data of the user, wherein the behavior data comprises: a plurality of second survey results replied by the user after accepting the survey of the other color degrees of conspicuity;

taking the user meeting a preset first condition as a first target user;

taking the user meeting a preset second condition as a second target user;

extracting a first color eye-catching degree ranking table in the first survey result corresponding to the first target user, and giving a first weight to the first target user;

extracting a second color eye-catching degree sorting table in the first investigation result corresponding to the second target user;

extracting a third color eye-catching degree sorting table in the second investigation result corresponding to the second target user;

comparing the second color degree of eye-catching ranking table with the third color degree of eye-catching ranking table, determining whether the second color degree of eye-catching ranking table is the same as the third color degree of eye-catching ranking table, if the second color degree of eye-catching ranking table is the same as the third color degree of eye-catching ranking table, rejecting the third color degree of eye-catching ranking table for comparison, and outputting different items if the third color degree of eye-catching ranking table is different from the third color degree of eye-catching ranking table, wherein the different items comprise: a first color and two first degrees of conspicuity corresponding to said first color, while also rejecting said third color degree of conspicuity ranking table for comparison;

summarizing the different items with the same first color to obtain a plurality of different item sets;

taking the eye-catching degree with the largest number of occurrences of the first eye-catching degree in each of the different items in the different item sets as a target eye-catching degree;

determining a target column of the color in the second color eye-catching degree sorting table corresponding to the different item sets;

making a replacement bar corresponding to the color of the different item sets based on the target eye-catching degree;

replacing the target bar with the replacement bar;

when all the replacement columns in the second color saliency sorting table are replaced by the corresponding target columns, taking the second color saliency sorting table as a fourth color saliency sorting table;

adjusting the first weight downwards based on the different item sets, taking the adjusted first weight as a second weight, and giving the second weight to the fourth color eye-catching degree ranking table;

acquiring a preset analysis model, inputting all the first color eye-catching degree sorting tables and corresponding first weights and all the fourth color eye-catching degree sorting tables and corresponding second weights into the analysis model for analysis, and acquiring an analysis result, wherein the analysis result comprises: a fifth color eye-catching degree ranking table;

extracting a second color and a second eye-catching degree of each column in the fifth color eye-catching degree sorting table;

inquiring a preset leakage intensity interval comparison table, and determining a leakage intensity interval corresponding to the second eye-catching degree;

combining the leakage intensity interval with the second color corresponding to the second degree of conspicuity to obtain a control combination;

acquiring a preset blank database, and filling the comparison combination into the blank database;

when all the comparison combinations are filled into the blank database, taking the blank database as a color comparison database to finish the establishment;

wherein the first condition comprises: the first and second survey results of the user are the same;

the second condition includes: the first survey result and at least one of the second survey results of the user are different;

the first weight is greater than the second weight.

4. The method of wireless acoustic imaging for valve leak monitoring of claim 3, wherein the first weight is adjusted downward based on the different sets of terms, the adjustment formula being as follows:

wherein γ' is the first weight after down-regulation, γ is the first weight before down-regulation, σ_tIs an intermediate variable, σ_tFor the number of said different items in the tth set of said different items, μ₀N is the total number of the different sets of terms, being a preset number threshold.

5. A method of wireless acoustic imaging of valve leak monitoring as defined in claim 1, further comprising:

step S5: acquiring target data of a plurality of areas in valve equipment currently performing valve leakage monitoring, wherein the target data comprises: sorting the regions based on the target data to generate a valve leakage monitoring region sorting table, and outputting the generated sorting table;

wherein ranking each of the regions based on the target data comprises:

performing feature extraction on the target data to obtain a plurality of first features;

performing feature prediction on the first features based on a preset feature prediction database to obtain a plurality of second features after feature prediction;

performing feature association on the first feature based on a preset feature association database to obtain a plurality of third features after feature association;

acquiring a preset valve leakage reason feature library, and respectively matching the first feature, the second feature and the third feature with a fourth feature in the valve leakage reason feature library;

if the matching is matched, outputting a matching matched item, wherein the matching matched item comprises: the first feature, at least one of the fourth feature matching the first feature, a first degree of match between the first feature and the fourth feature matching the first feature, and a first probability of leakage of the fourth feature matching the first feature;

and/or the second feature, at least one of the fourth feature matching the second feature, a second degree of match between the second feature and the fourth feature matching the second feature, and a second probability of leakage of the fourth feature matching the second feature;

and/or the third feature, at least one of the fourth feature matching the third feature, a third degree of match between the third feature and the fourth feature matching the third feature, and a third probability of leakage of the fourth feature matching the third feature;

taking the sum of each first matching degree, each first leakage probability, each second matching degree, each second leakage probability, each third matching degree, and each third leakage probability as a ranking index corresponding to the region;

and sorting the regions from large to small according to the corresponding sorting indexes.

6. A wireless acoustic imaging system for valve leak monitoring, comprising:

the control module is used for moving the camera and aligning the lens to a target area needing valve leakage monitoring;

the detection module is used for detecting whether the valve leaks in the target area, and if so, acquiring leakage position data and leakage intensity data of the valve;

a production module for producing a leak image based on the leak position data and the leak intensity data;

and the fusion module is used for fusing the leakage image with the scene image of the target area shot by the lens and outputting a fusion result.

7. The wireless acoustic imaging system for valve leak monitoring of claim 6, wherein the fabrication module performs the following operations:

analyzing the leakage position data to obtain a plurality of leakage position points;

analyzing the leakage intensity data to obtain leakage intensity values corresponding to the leakage position points one by one;

establishing a color comparison library, and determining a color corresponding to the leakage intensity value based on the color comparison library;

acquiring a preset transparent image, wherein the size of the transparent image is the same as that of the field image;

marking the color on the transparent image at a marked location point corresponding to the respective leak location point;

and when all the colors are marked, taking the transparent image as a leakage image to finish the manufacturing.

8. The wireless acoustic imaging system for valve leak monitoring of claim 6, wherein the fabrication module builds a color comparison library by performing the following operations:

obtaining color conspicuity survey data, the color conspicuity survey data comprising: a first investigation result replied by a plurality of users after accepting the investigation of the specified color eye-catching degree;

acquiring behavior data of the user, wherein the behavior data comprises: a plurality of second survey results replied by the user after accepting the survey of the other color degrees of conspicuity;

taking the user meeting a preset first condition as a first target user;

taking the user meeting a preset second condition as a second target user;

extracting a first color eye-catching degree ranking table in the first survey result corresponding to the first target user, and giving a first weight to the first target user;

extracting a second color eye-catching degree sorting table in the first investigation result corresponding to the second target user;

extracting a third color eye-catching degree sorting table in the second investigation result corresponding to the second target user;

comparing the second color degree of eye-catching ranking table with the third color degree of eye-catching ranking table, determining whether the second color degree of eye-catching ranking table is the same as the third color degree of eye-catching ranking table, if the second color degree of eye-catching ranking table is the same as the third color degree of eye-catching ranking table, rejecting the third color degree of eye-catching ranking table for comparison, and outputting different items if the third color degree of eye-catching ranking table is different from the third color degree of eye-catching ranking table, wherein the different items comprise: a first color and two first degrees of conspicuity corresponding to said first color, while also rejecting said third color degree of conspicuity ranking table for comparison;

summarizing the different items with the same first color to obtain a plurality of different item sets;

taking the eye-catching degree with the largest number of occurrences of the first eye-catching degree in each of the different items in the different item sets as a target eye-catching degree;

determining a target column of the color in the second color eye-catching degree sorting table corresponding to the different item sets;

making a replacement bar corresponding to the color of the different item sets based on the target eye-catching degree;

replacing the target bar with the replacement bar;

when all the replacement columns in the second color saliency sorting table are replaced by the corresponding target columns, taking the second color saliency sorting table as a fourth color saliency sorting table;

adjusting the first weight downwards based on the different item sets, taking the adjusted first weight as a second weight, and giving the second weight to the fourth color eye-catching degree ranking table;

acquiring a preset analysis model, inputting all the first color eye-catching degree sorting tables and corresponding first weights and all the fourth color eye-catching degree sorting tables and corresponding second weights into the analysis model for analysis, and acquiring an analysis result, wherein the analysis result comprises: a fifth color eye-catching degree ranking table;

extracting a second color and a second eye-catching degree of each column in the fifth color eye-catching degree sorting table;

inquiring a preset leakage intensity interval comparison table, and determining a leakage intensity interval corresponding to the second eye-catching degree;

combining the leakage intensity interval with the second color corresponding to the second degree of conspicuity to obtain a control combination;

acquiring a preset blank database, and filling the comparison combination into the blank database;

when all the comparison combinations are filled into the blank database, taking the blank database as a color comparison database to finish the establishment;

wherein the first condition comprises: the first and second survey results of the user are the same;

the second condition includes: the first survey result and at least one of the second survey results of the user are different;

the first weight is greater than the second weight.

9. The wireless acoustic imaging system of valve leak monitoring of claim 8, wherein the production module adjusts the first weight downward based on the different sets of terms, the downward equation being as follows:

wherein γ' is the first weight after down-regulation, γ is the first weight before down-regulation, σ_tIs an intermediate variable, σ_tFor the number of said different items in the tth set of said different items, μ₀N is the total number of the different sets of terms, being a preset number threshold.

10. The wireless acoustic imaging system for valve leak monitoring of claim 6, further comprising:

an indication module, configured to obtain target data of a plurality of areas in a valve device currently performing valve leakage monitoring, where the target data includes: sorting the regions based on the target data to generate a valve leakage monitoring region sorting table, and outputting the generated sorting table;

the indication module performs the following operations:

performing feature extraction on the target data to obtain a plurality of first features;

performing feature prediction on the first features based on a preset feature prediction database to obtain a plurality of second features after feature prediction;

performing feature association on the first feature based on a preset feature association database to obtain a plurality of third features after feature association;

acquiring a preset valve leakage reason feature library, and respectively matching the first feature, the second feature and the third feature with a fourth feature in the valve leakage reason feature library;

if the matching is matched, outputting a matching matched item, wherein the matching matched item comprises: the first feature, at least one of the fourth feature matching the first feature, a first degree of match between the first feature and the fourth feature matching the first feature, and a first probability of leakage of the fourth feature matching the first feature;

and/or the second feature, at least one of the fourth feature matching the second feature, a second degree of match between the second feature and the fourth feature matching the second feature, and a second probability of leakage of the fourth feature matching the second feature;

and/or the third feature, at least one of the fourth feature matching the third feature, a third degree of match between the third feature and the fourth feature matching the third feature, and a third probability of leakage of the fourth feature matching the third feature;

taking the sum of each first matching degree, each first leakage probability, each second matching degree, each second leakage probability, each third matching degree, and each third leakage probability as a ranking index corresponding to the region;

and sorting the regions from large to small according to the corresponding sorting indexes.

Technical Field

The invention relates to the technical field of valve leakage monitoring, in particular to a wireless acoustic imaging method and a wireless acoustic imaging device for valve leakage monitoring.

Background

At present, the leakage of the valve is monitored by utilizing an acoustic sensor array, so that the acoustic sensor array is required to be arranged at each valve or in the gathering area of a plurality of valves, the cost is huge, and meanwhile, a large amount of cost is consumed for later maintenance of the acoustic sensor array.

Disclosure of Invention

One of the objectives of the present invention is to provide a wireless acoustic imaging method and apparatus for monitoring valve leakage, wherein when a lens of a camera is aligned with a target area, a field image of the target area and a position where the valve leakage occurs are both displayed in a display screen, and a special acoustic sensor array is not required to be disposed at each valve or in a gathering area of a plurality of valves, so as to reduce cost and avoid a problem of a later maintenance cost of the acoustic sensor array due to such a configuration.

The embodiment of the invention provides a wireless acoustic imaging method for monitoring valve leakage, which comprises the following steps:

step S1: moving a camera, and aligning a lens to a target area needing valve leakage monitoring;

step S2: detecting whether a valve leaks in a target area, and if so, acquiring leakage position data and leakage intensity data of the valve;

step S3: producing a leak image based on the leak location data and the leak intensity data;

step S4: and fusing the leakage image with the scene image of the target area shot by the lens, and outputting a fusion result.

Preferably, step S3: producing a leak image based on the leak location data and the leak intensity data, comprising:

analyzing the leakage position data to obtain a plurality of leakage position points;

analyzing the leakage intensity data to obtain leakage intensity values corresponding to the leakage position points one by one;

establishing a color comparison library, and determining a color corresponding to the leakage intensity value based on the color comparison library;

acquiring a preset transparent image, wherein the size of the transparent image is the same as that of the field image;

marking a color on the transparent image at a marked location point corresponding to the respective leak location point;

and when all the colors are marked, taking the transparent image as a leakage image to finish the manufacturing.

Preferably, a color comparison library is established, comprising:

obtaining color conspicuity survey data, the color conspicuity survey data comprising: a first investigation result replied by a plurality of users after accepting the investigation of the specified color eye-catching degree;

acquiring behavior data of a user, wherein the behavior data comprises: the user replies a plurality of second investigation results after receiving other color conspicuity investigation;

taking users meeting preset first conditions as first target users;

taking the users meeting the preset second condition as second target users;

extracting a first color eye-catching degree sorting table in a first investigation result corresponding to a first target user, and giving a first weight to the first target user;

extracting a second color eye-catching degree sorting table in the first investigation result corresponding to the second target user;

extracting a third color eye-catching degree sorting table in a second investigation result corresponding to the second target user;

comparing the second color eye-catching degree sorting table with the third color eye-catching degree sorting table, determining whether the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, if the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, rejecting the third color eye-catching degree sorting table for comparison, and if the third color eye-catching degree sorting table is different from the third color eye-catching degree sorting table, outputting different items, wherein the different items comprise: a first color and two first degrees of saliency corresponding to the first color, while also rejecting a third color degree of saliency ranking table for comparison;

different items with the same first color are collected to obtain a plurality of different item sets;

taking the eye-catching degree with the largest occurrence frequency of the first eye-catching degrees in different items in different item sets as a target eye-catching degree;

determining target columns of colors corresponding to different item sets in a second color eye-catching degree sorting table;

making a replacement bar based on the target eye-catching degree and the corresponding colors of different item sets;

replacing the target bar with the replacement bar;

when all the replacement columns in the second color saliency sorting table are replaced by the corresponding target columns, taking the second color saliency sorting table as a fourth color saliency sorting table;

adjusting the first weight downwards based on different item sets, taking the adjusted first weight as a second weight, and giving the second weight to a fourth color eye-catching degree ranking table;

acquiring a preset analysis model, inputting all the first color eye-catching degree sorting tables and corresponding first weights and all the fourth color eye-catching degree sorting tables and corresponding second weights into the analysis model for analysis, and acquiring an analysis result, wherein the analysis result comprises: a fifth color eye-catching degree ranking table;

extracting a second color and a second eye-catching degree of each column in the fifth color eye-catching degree sorting table;

inquiring a preset leakage intensity interval comparison table, and determining a leakage intensity interval corresponding to the second eye-catching degree;

combining the leakage intensity interval with a second color corresponding to a second eye-catching degree to obtain a comparison combination;

acquiring a preset blank database, and filling the comparison combination into the blank database;

when all the comparison combinations are filled into the blank database, taking the blank database as a color comparison database to finish the establishment;

wherein the first condition comprises: the first survey result and the second survey result of the user are the same;

the second condition includes: the first survey result and the at least one second survey result of the user are different;

the first weight is greater than the second weight.

Preferably, the first weight is adjusted downward based on different sets of terms, and the downward adjustment formula is as follows:

where γ' is the first weight after down-regulation, γ is the first weight before down-regulation, σ_tIs an intermediate variable, σ_tFor the number of different items in the t-th set of different items, μ₀N is the total number of different sets of terms, a preset number threshold.

Preferably, the wireless acoustic imaging method for valve leakage monitoring further includes:

step S5: acquiring target data of a plurality of areas in valve equipment currently performing valve leakage monitoring, wherein the target data comprises: the method comprises the steps of (1) historical use record and maintenance record, sorting each region based on target data, generating a valve leakage monitoring region sorting table, and outputting the sorting table after generation;

wherein ranking the regions based on the target data comprises:

performing feature extraction on target data to obtain a plurality of first features;

performing feature prediction on the first features based on a preset feature prediction database to obtain a plurality of second features after feature prediction;

performing feature association on the first feature based on a preset feature association database to obtain a plurality of third features after feature association;

acquiring a preset valve leakage reason feature library, and respectively matching the first feature, the second feature and the third feature with a fourth feature in the valve leakage reason feature library;

if the matching is matched, outputting a matching matched item, wherein the matching matched item comprises: a first leakage probability of the first feature, at least one fourth feature matching the first feature, a first degree of match between the first feature and the fourth feature matching the first feature, and the fourth feature matching the first feature;

and/or the second feature, at least one fourth feature matching the second feature, a second degree of match between the second feature and the fourth feature matching the second feature, and a second probability of leakage of the fourth feature matching the second feature;

and/or the third feature, at least one fourth feature matching the third feature, a third degree of match between the third feature and the fourth feature matching the third feature, and a third probability of leakage of the fourth feature matching the third feature;

taking the sum of each first matching degree, each first leakage probability, each second matching degree, each second leakage probability, each third matching degree and each third leakage probability as the ranking index of the corresponding region;

and sequencing the regions from large to small according to the corresponding sequencing indexes.

The embodiment of the invention provides a wireless acoustic imaging system for monitoring valve leakage, which comprises:

the control module is used for moving the camera and aligning the lens to a target area needing valve leakage monitoring;

the detection module is used for detecting whether the valve leaks in the target area, and if so, acquiring leakage position data and leakage intensity data of the valve;

a production module for producing a leak image based on the leak position data and the leak intensity data;

and the fusion module is used for fusing the leakage image with the scene image of the target area shot by the lens and outputting a fusion result.

Preferably, the production module performs the following operations:

analyzing the leakage position data to obtain a plurality of leakage position points;

analyzing the leakage intensity data to obtain leakage intensity values corresponding to the leakage position points one by one;

establishing a color comparison library, and determining a color corresponding to the leakage intensity value based on the color comparison library;

acquiring a preset transparent image, wherein the size of the transparent image is the same as that of the field image;

marking a color on the transparent image at a marked location point corresponding to the respective leak location point;

and when all the colors are marked, taking the transparent image as a leakage image to finish the manufacturing.

Preferably, the creating module establishes a color comparison library, and specifically performs the following operations:

obtaining color conspicuity survey data, the color conspicuity survey data comprising: a first investigation result replied by a plurality of users after accepting the investigation of the specified color eye-catching degree;

acquiring behavior data of a user, wherein the behavior data comprises: the user replies a plurality of second investigation results after receiving other color conspicuity investigation;

taking users meeting preset first conditions as first target users;

taking the users meeting the preset second condition as second target users;

extracting a first color eye-catching degree sorting table in a first investigation result corresponding to a first target user, and giving a first weight to the first target user;

extracting a second color eye-catching degree sorting table in the first investigation result corresponding to the second target user;

extracting a third color eye-catching degree sorting table in a second investigation result corresponding to the second target user;

comparing the second color eye-catching degree sorting table with the third color eye-catching degree sorting table, determining whether the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, if the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, rejecting the third color eye-catching degree sorting table for comparison, and if the third color eye-catching degree sorting table is different from the third color eye-catching degree sorting table, outputting different items, wherein the different items comprise: a first color and two first degrees of saliency corresponding to the first color, while also rejecting a third color degree of saliency ranking table for comparison;

different items with the same first color are collected to obtain a plurality of different item sets;

taking the eye-catching degree with the largest occurrence frequency of the first eye-catching degrees in different items in different item sets as a target eye-catching degree;

determining target columns of colors corresponding to different item sets in a second color eye-catching degree sorting table;

making a replacement bar based on the target eye-catching degree and the corresponding colors of different item sets;

replacing the target bar with the replacement bar;

when all the replacement columns in the second color saliency sorting table are replaced by the corresponding target columns, taking the second color saliency sorting table as a fourth color saliency sorting table;

adjusting the first weight downwards based on different item sets, taking the adjusted first weight as a second weight, and giving the second weight to a fourth color eye-catching degree ranking table;

acquiring a preset analysis model, inputting all the first color eye-catching degree sorting tables and corresponding first weights and all the fourth color eye-catching degree sorting tables and corresponding second weights into the analysis model for analysis, and acquiring an analysis result, wherein the analysis result comprises: a fifth color eye-catching degree ranking table;

extracting a second color and a second eye-catching degree of each column in the fifth color eye-catching degree sorting table;

inquiring a preset leakage intensity interval comparison table, and determining a leakage intensity interval corresponding to the second eye-catching degree;

combining the leakage intensity interval with a second color corresponding to a second eye-catching degree to obtain a comparison combination;

acquiring a preset blank database, and filling the comparison combination into the blank database;

when all the comparison combinations are filled into the blank database, taking the blank database as a color comparison database to finish the establishment;

wherein the first condition comprises: the first survey result and the second survey result of the user are the same;

the second condition includes: the first survey result and the at least one second survey result of the user are different;

the first weight is greater than the second weight.

Preferably, the making module adjusts the first weight downward based on different sets of terms, and the downward adjustment formula is as follows:

where γ' is the first weight after down-regulation, γ is the first weight before down-regulation, σ_tIs an intermediate variable, σ_tIs the t thNumber of different items in different sets of items, μ₀N is the total number of different sets of terms, a preset number threshold.

Preferably, the wireless acoustic imaging system for valve leakage monitoring further comprises:

the indicating module is used for acquiring target data of a plurality of areas in the valve equipment which is currently subjected to valve leakage monitoring, and the target data comprises: the method comprises the steps of (1) historical use record and maintenance record, sorting each region based on target data, generating a valve leakage monitoring region sorting table, and outputting the sorting table after generation;

the indicating module performs the following operations:

performing feature extraction on target data to obtain a plurality of first features;

performing feature prediction on the first features based on a preset feature prediction database to obtain a plurality of second features after feature prediction;

performing feature association on the first feature based on a preset feature association database to obtain a plurality of third features after feature association;

acquiring a preset valve leakage reason feature library, and respectively matching the first feature, the second feature and the third feature with a fourth feature in the valve leakage reason feature library;

if the matching is matched, outputting a matching matched item, wherein the matching matched item comprises: a first leakage probability of the first feature, at least one fourth feature matching the first feature, a first degree of match between the first feature and the fourth feature matching the first feature, and the fourth feature matching the first feature;

and/or the second feature, at least one fourth feature matching the second feature, a second degree of match between the second feature and the fourth feature matching the second feature, and a second probability of leakage of the fourth feature matching the second feature;

and/or the third feature, at least one fourth feature matching the third feature, a third degree of match between the third feature and the fourth feature matching the third feature, and a third probability of leakage of the fourth feature matching the third feature;

taking the sum of each first matching degree, each first leakage probability, each second matching degree, each second leakage probability, each third matching degree and each third leakage probability as the ranking index of the corresponding region;

and sequencing the regions from large to small according to the corresponding sequencing indexes.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a flow chart of a wireless acoustic imaging method for valve leak monitoring according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a wireless acoustic imaging system for valve leakage monitoring according to an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

The embodiment of the invention provides a wireless acoustic imaging method for valve leakage monitoring, which comprises the following steps of:

step S1: moving a camera, and aligning a lens to a target area needing valve leakage monitoring;

step S2: detecting whether a valve leaks in a target area, and if so, acquiring leakage position data and leakage intensity data of the valve;

step S3: producing a leak image based on the leak location data and the leak intensity data;

step S4: and fusing the leakage image with the scene image of the target area shot by the lens, and outputting a fusion result.

The working principle and the beneficial effects of the technical scheme are as follows:

the method is applied to a valve leakage monitoring imager, and the valve leakage monitoring imager comprises a camera, an acoustic sensor array, a display screen and the like; the user moves the camera manually or remotely through a control device to align the lens of the camera with the target area; detecting whether a valve leak occurs in a target area by an acoustic sensor array [ for example: acquiring an acoustic signal, making a spectrogram, and comparing the made spectrogram with a spectrogram which is not leaked before to realize detection, which is not described in detail in the prior art, if so, acquiring leakage position information (directionally determined by an acoustic sensor array) and leakage intensity information (for example: judging based on the frequency of the acquired leakage acoustic signals; making a leakage image based on the leakage position data and the leakage intensity data, fusing the leakage image with a field image shot by a camera, outputting the fused image, and displaying the fused image on a display screen for a user to check;

according to the embodiment of the invention, when the lens of the camera is aligned to the target area, the field image of the target area and the position of valve leakage are displayed in the display screen, and a special acoustic sensor array is not required to be arranged at each valve or in the gathering area of a plurality of valves, so that the cost is reduced, and the problem of higher later maintenance cost of the acoustic sensor array caused by the arrangement is avoided.

The embodiment of the invention provides a wireless acoustic imaging method for valve leakage monitoring, which comprises the following steps of S3: producing a leak image based on the leak location data and the leak intensity data, comprising:

analyzing the leakage position data to obtain a plurality of leakage position points;

analyzing the leakage intensity data to obtain leakage intensity values corresponding to the leakage position points one by one;

establishing a color comparison library, and determining a color corresponding to the leakage intensity value based on the color comparison library;

acquiring a preset transparent image, wherein the size of the transparent image is the same as that of the field image;

marking a color on the transparent image at a marked location point corresponding to the respective leak location point;

and when all the colors are marked, taking the transparent image as a leakage image to finish the manufacturing.

The working principle and the beneficial effects of the technical scheme are as follows:

determining a color corresponding to each leakage intensity value; determining a mark position point corresponding to each leakage position point on a transparent image (one image without color or transparent) (pre-establishing a mapping relation between the leakage position point in a three-dimensional coordinate system and the mark position point in a two-dimensional coordinate system, and mapping by using the mapping relation after determining the leakage position point); representing the colors on the corresponding mark position points one by one, and finishing the manufacturing after all the colors are represented; the transparent image size is the same as the live image size for ease of blending.

The embodiment of the invention provides a wireless acoustic imaging method for monitoring valve leakage, which is used for establishing a color comparison library and comprises the following steps:

obtaining color conspicuity survey data, the color conspicuity survey data comprising: a first investigation result replied by a plurality of users after accepting the investigation of the specified color eye-catching degree;

acquiring behavior data of a user, wherein the behavior data comprises: the user replies a plurality of second investigation results after receiving other color conspicuity investigation;

taking users meeting preset first conditions as first target users;

taking the users meeting the preset second condition as second target users;

extracting a first color eye-catching degree sorting table in a first investigation result corresponding to a first target user, and giving a first weight to the first target user;

extracting a second color eye-catching degree sorting table in the first investigation result corresponding to the second target user;

extracting a third color eye-catching degree sorting table in a second investigation result corresponding to the second target user;

comparing the second color eye-catching degree sorting table with the third color eye-catching degree sorting table, determining whether the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, if the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, rejecting the third color eye-catching degree sorting table for comparison, and if the third color eye-catching degree sorting table is different from the third color eye-catching degree sorting table, outputting different items, wherein the different items comprise: a first color and two first degrees of saliency corresponding to the first color, while also rejecting a third color degree of saliency ranking table for comparison;

different items with the same first color are collected to obtain a plurality of different item sets;

taking the eye-catching degree with the largest occurrence frequency of the first eye-catching degrees in different items in different item sets as a target eye-catching degree;

determining target columns of colors corresponding to different item sets in a second color eye-catching degree sorting table;

making a replacement bar based on the target eye-catching degree and the corresponding colors of different item sets;

replacing the target bar with the replacement bar;

when all the replacement columns in the second color saliency sorting table are replaced by the corresponding target columns, taking the second color saliency sorting table as a fourth color saliency sorting table;

adjusting the first weight downwards based on different item sets, taking the adjusted first weight as a second weight, and giving the second weight to a fourth color eye-catching degree ranking table;

acquiring a preset analysis model, inputting all the first color eye-catching degree sorting tables and corresponding first weights and all the fourth color eye-catching degree sorting tables and corresponding second weights into the analysis model for analysis, and acquiring an analysis result, wherein the analysis result comprises: a fifth color eye-catching degree ranking table;

extracting a second color and a second eye-catching degree of each column in the fifth color eye-catching degree sorting table;

inquiring a preset leakage intensity interval comparison table, and determining a leakage intensity interval corresponding to the second eye-catching degree;

combining the leakage intensity interval with a second color corresponding to a second eye-catching degree to obtain a comparison combination;

acquiring a preset blank database, and filling the comparison combination into the blank database;

when all the comparison combinations are filled into the blank database, taking the blank database as a color comparison database to finish the establishment;

wherein the first condition comprises: the first survey result and the second survey result of the user are the same;

the second condition includes: the first survey result and the at least one second survey result of the user are different;

the first weight is greater than the second weight.

The working principle and the beneficial effects of the technical scheme are as follows:

currently, most of the colors showing the urgency are red, blue, yellow, green, etc., but there are many different colors [ for example, red with different RGB values: pink, cinnabar, magenta, pomegranate red, etc., in actual field use, due to field environmental factors [ for example: light, noise, and the like, users have different specific feelings for different colors, and therefore, in order to find the color of the user which can accurately represent the emergency degree and is suitable for actual field use, the application obtains color conspicuity survey data which can specify users who are responsible for valve leakage monitoring from different fields [ issue questionnaires ] and specify the answering time of each item so as to prevent the quick payment for the business ] and return a first survey result after the color conspicuity survey; at the same time, a second survey of the user is obtained [ the user may do other surveys, which may not specify the time to answer for each item ]; when the questionnaires of the users are the same, the users are explained to affirm the answers of the users, and the users meet a first condition and serve as first target users; when a user does any questionnaire, because some questionnaires do not set answering time for each item, the user can not be given sufficient thinking time, the user can give different answers, and the user does not confirm the answers, and the user meets a second condition and serves as a second target user; extracting a first color eye-catching degree sorting table of a first target user, and giving a first weight; making a fourth color eye-catching degree sorting table of the second target user, and giving a corresponding second weight; the first target user affirms the answer of the first target user, and the given first weight is larger; inputting a first color eye-catching degree sorting table, a first weight, a fourth color eye-catching degree sorting table and a corresponding second weight into a preset analysis model (a model generated after a large number of manual analysis records are learned by a machine learning algorithm), analyzing an optimum and most representative fifth color eye-catching degree sorting table by the analysis model, and preferentially adopting a second color and a second eye-catching degree in the color eye-catching degree sorting table of the first weight based on the first weight and the second weight comprehensive analysis when the model is analyzed; inquiring a preset leakage intensity interval comparison table (comprising a plurality of comparison columns, each comparison column comprises a striking degree and a leakage intensity interval and is used for comparing and inquiring the leakage intensity interval corresponding to the striking degree), determining the leakage intensity interval corresponding to the striking degree, combining the leakage intensity interval with a corresponding second color, inputting a preset blank database (original no content in the database) after combination, and finishing the establishment;

according to the embodiment of the invention, the color conspicuity degree survey data and the behavior data determine the color which can accurately represent the emergency degree and is suitable for the user who uses the color on the spot, so that the leakage image with better effect and experience sense can be conveniently manufactured, the user experience is improved, and meanwhile, the intelligent color conspicuity degree survey method and the intelligent color conspicuity degree survey method are very intelligent.

The embodiment of the invention provides a wireless acoustic imaging method for monitoring valve leakage, which is characterized in that a first weight is adjusted downwards based on different term sets, and the adjustment formula is as follows:

where γ' is the first weight after down-regulation, γ is the first weight before down-regulation, σ_tIs an intermediate variable, σ_tFor the t-th different item setNumber of terms, μ₀N is the total number of different sets of terms, a preset number threshold.

The working principle and the beneficial effects of the technical scheme are as follows:

if the number of different items in a different item set is less than a preset number threshold [ for example: 2, describing that a few different items form a different item set, and further describing that the corresponding user does not affirm the answer or gives an answer to the user in the questionnaire; similarly, the more different item sets, the more the problem is described; the first weight is decreased to a greater extent as a second weight for the user; the formula is used for quickly adjusting the down, so that the accuracy is achieved and the efficiency is improved.

The embodiment of the invention provides a wireless acoustic imaging method for monitoring valve leakage, which further comprises the following steps:

step S5: acquiring target data of a plurality of areas in valve equipment currently performing valve leakage monitoring, wherein the target data comprises: the method comprises the steps of (1) historical use record and maintenance record, sorting each region based on target data, generating a valve leakage monitoring region sorting table, and outputting the sorting table after generation;

wherein ranking the regions based on the target data comprises:

performing feature extraction on target data to obtain a plurality of first features;

performing feature prediction on the first features based on a preset feature prediction database to obtain a plurality of second features after feature prediction;

performing feature association on the first feature based on a preset feature association database to obtain a plurality of third features after feature association;

acquiring a preset valve leakage reason feature library, and respectively matching the first feature, the second feature and the third feature with a fourth feature in the valve leakage reason feature library;

if the matching is matched, outputting a matching matched item, wherein the matching matched item comprises: a first leakage probability of the first feature, at least one fourth feature matching the first feature, a first degree of match between the first feature and the fourth feature matching the first feature, and the fourth feature matching the first feature;

and/or the second feature, at least one fourth feature matching the second feature, a second degree of match between the second feature and the fourth feature matching the second feature, and a second probability of leakage of the fourth feature matching the second feature;

and/or the third feature, at least one fourth feature matching the third feature, a third degree of match between the third feature and the fourth feature matching the third feature, and a third probability of leakage of the fourth feature matching the third feature;

taking the sum of each first matching degree, each first leakage probability, each second matching degree, each second leakage probability, each third matching degree and each third leakage probability as the ranking index of the corresponding region;

and sequencing the regions from large to small according to the corresponding sequencing indexes.

The working principle and the beneficial effects of the technical scheme are as follows:

the preset feature prediction database specifically comprises: the method comprises the steps of including a plurality of prediction features and a plurality of matching features (mostly front parts of the prediction features) corresponding to the prediction features, matching the first features with the matching features, successfully matching, and outputting corresponding prediction features to serve as second features; the preset feature association database specifically comprises: contains a plurality of feature sets, each feature set having a plurality of associated features [ for example: features of different expression forms ], if the first feature is matched with the associated feature in a certain feature set in the database, outputting other associated features in the feature set as a third feature; the preset valve leakage reason characteristic library is specifically as follows: the method comprises the steps that a database is formed by combining a plurality of characteristics obtained by extracting characteristics of valve leakage reason data on the Internet, wherein each characteristic in the database corresponds to a leakage probability which represents the probability of valve leakage caused by the characteristic (counted in advance by background personnel); taking the sum of the first matching degree, the first leakage probability, the second matching degree, the second leakage probability, the third matching degree and the third leakage probability as a ranking index of a corresponding region, wherein the larger the ranking index is, the more easily valve leakage occurs in the region, and the valve leakage is ranked to the top for a user to check;

according to the embodiment of the invention, the regions are sorted based on the target data, and the valve leakage monitoring region sorting table is generated, so that the user can conveniently check the valve leakage monitoring region sorting table, and the working efficiency of the user is greatly improved.

The embodiment of the invention provides a wireless acoustic imaging system for monitoring valve leakage, as shown in fig. 2, comprising:

the control module 1 is used for moving the camera and aligning a lens to a target area needing valve leakage monitoring;

the detection module 2 is used for detecting whether the valve leaks in the target area, and if so, acquiring leakage position data and leakage intensity data of the valve;

a production module 3 for producing a leak image based on the leak position data and the leak intensity data;

and the fusion module 4 is used for fusing the leakage image with the scene image of the target area shot by the lens and outputting a fusion result.

The working principle and the beneficial effects of the technical scheme are as follows:

the method is applied to a valve leakage monitoring imager, and the valve leakage monitoring imager comprises a camera, an acoustic sensor array, a display screen and the like; the user moves the camera manually or remotely through a control device to align the lens of the camera with the target area; detecting whether a valve leak occurs in a target area by an acoustic sensor array [ for example: acquiring an acoustic signal, making a spectrogram, and comparing the made spectrogram with a spectrogram which is not leaked before to realize detection, which is not described in detail in the prior art, if so, acquiring leakage position information (directionally determined by an acoustic sensor array) and leakage intensity information (for example: judging based on the frequency of the acquired leakage acoustic signals; making a leakage image based on the leakage position data and the leakage intensity data, fusing the leakage image with a field image shot by a camera, outputting the fused image, and displaying the fused image on a display screen for a user to check;

according to the embodiment of the invention, when the lens of the camera is aligned to the target area, the field image of the target area and the position of valve leakage are displayed in the display screen, and a special acoustic sensor array is not required to be arranged at each valve or in the gathering area of a plurality of valves, so that the cost is reduced, and the problem of higher later maintenance cost of the acoustic sensor array caused by the arrangement is avoided.

The embodiment of the invention provides a wireless acoustic imaging system for monitoring valve leakage, wherein a manufacturing module 3 executes the following operations:

analyzing the leakage position data to obtain a plurality of leakage position points;

analyzing the leakage intensity data to obtain leakage intensity values corresponding to the leakage position points one by one;

establishing a color comparison library, and determining a color corresponding to the leakage intensity value based on the color comparison library;

acquiring a preset transparent image, wherein the size of the transparent image is the same as that of the field image;

marking a color on the transparent image at a marked location point corresponding to the respective leak location point;

and when all the colors are marked, taking the transparent image as a leakage image to finish the manufacturing.

The working principle and the beneficial effects of the technical scheme are as follows:

determining a color corresponding to each leakage intensity value; determining a mark position point corresponding to each leakage position point on a transparent image (one image without color or transparent) (pre-establishing a mapping relation between the leakage position point in a three-dimensional coordinate system and the mark position point in a two-dimensional coordinate system, and mapping by using the mapping relation after determining the leakage position point); representing the colors on the corresponding mark position points one by one, and finishing the manufacturing after all the colors are represented; the transparent image size is the same as the live image size for ease of blending.

The embodiment of the invention provides a wireless acoustic imaging system for monitoring valve leakage, wherein a manufacturing module 3 establishes a color comparison library and specifically executes the following operations:

obtaining color conspicuity survey data, the color conspicuity survey data comprising: a first investigation result replied by a plurality of users after accepting the investigation of the specified color eye-catching degree;

acquiring behavior data of a user, wherein the behavior data comprises: the user replies a plurality of second investigation results after receiving other color conspicuity investigation;

taking users meeting preset first conditions as first target users;

taking the users meeting the preset second condition as second target users;

extracting a first color eye-catching degree sorting table in a first investigation result corresponding to a first target user, and giving a first weight to the first target user;

extracting a second color eye-catching degree sorting table in the first investigation result corresponding to the second target user;

extracting a third color eye-catching degree sorting table in a second investigation result corresponding to the second target user;

comparing the second color eye-catching degree sorting table with the third color eye-catching degree sorting table, determining whether the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, if the second color eye-catching degree sorting table is the same as the third color eye-catching degree sorting table, rejecting the third color eye-catching degree sorting table for comparison, and if the third color eye-catching degree sorting table is different from the third color eye-catching degree sorting table, outputting different items, wherein the different items comprise: a first color and two first degrees of saliency corresponding to the first color, while also rejecting a third color degree of saliency ranking table for comparison;

different items with the same first color are collected to obtain a plurality of different item sets;

taking the eye-catching degree with the largest occurrence frequency of the first eye-catching degrees in different items in different item sets as a target eye-catching degree;

determining target columns of colors corresponding to different item sets in a second color eye-catching degree sorting table;

making a replacement bar based on the target eye-catching degree and the corresponding colors of different item sets;

replacing the target bar with the replacement bar;

when all the replacement columns in the second color saliency sorting table are replaced by the corresponding target columns, taking the second color saliency sorting table as a fourth color saliency sorting table;

adjusting the first weight downwards based on different item sets, taking the adjusted first weight as a second weight, and giving the second weight to a fourth color eye-catching degree ranking table;

acquiring a preset analysis model, inputting all the first color eye-catching degree sorting tables and corresponding first weights and all the fourth color eye-catching degree sorting tables and corresponding second weights into the analysis model for analysis, and acquiring an analysis result, wherein the analysis result comprises: a fifth color eye-catching degree ranking table;

extracting a second color and a second eye-catching degree of each column in the fifth color eye-catching degree sorting table;

inquiring a preset leakage intensity interval comparison table, and determining a leakage intensity interval corresponding to the second eye-catching degree;

combining the leakage intensity interval with a second color corresponding to a second eye-catching degree to obtain a comparison combination;

acquiring a preset blank database, and filling the comparison combination into the blank database;

when all the comparison combinations are filled into the blank database, taking the blank database as a color comparison database to finish the establishment;

wherein the first condition comprises: the first survey result and the second survey result of the user are the same;

the second condition includes: the first survey result and the at least one second survey result of the user are different;

the first weight is greater than the second weight.

The working principle and the beneficial effects of the technical scheme are as follows:

currently, most of the colors showing the urgency are red, blue, yellow, green, etc., but there are many different colors [ for example, red with different RGB values: pink, cinnabar, magenta, pomegranate red, etc., in actual field use, due to field environmental factors [ for example: light, noise, and the like, users have different specific feelings for different colors, and therefore, in order to find the color of the user which can accurately represent the emergency degree and is suitable for actual field use, the application obtains color conspicuity survey data which can specify users who are responsible for valve leakage monitoring from different fields [ issue questionnaires ] and specify the answering time of each item so as to prevent the quick payment for the business ] and return a first survey result after the color conspicuity survey; at the same time, a second survey of the user is obtained [ the user may do other surveys, which may not specify the time to answer for each item ]; when the questionnaires of the users are the same, the users are explained to affirm the answers of the users, and the users meet a first condition and serve as first target users; when a user does any questionnaire, because some questionnaires do not set answering time for each item, the user can not be given sufficient thinking time, the user can give different answers, and the user does not confirm the answers, and the user meets a second condition and serves as a second target user; extracting a first color eye-catching degree sorting table of a first target user, and giving a first weight; making a fourth color eye-catching degree sorting table of the second target user, and giving a corresponding second weight; the first target user affirms the answer of the first target user, and the given first weight is larger; inputting a first color eye-catching degree sorting table, a first weight, a fourth color eye-catching degree sorting table and a corresponding second weight into a preset analysis model (a model generated after a large number of manual analysis records are learned by a machine learning algorithm), analyzing an optimum and most representative fifth color eye-catching degree sorting table by the analysis model, and preferentially adopting a second color and a second eye-catching degree in the color eye-catching degree sorting table of the first weight based on the first weight and the second weight comprehensive analysis when the model is analyzed; inquiring a preset leakage intensity interval comparison table (comprising a plurality of comparison columns, each comparison column comprises a striking degree and a leakage intensity interval and is used for comparing and inquiring the leakage intensity interval corresponding to the striking degree), determining the leakage intensity interval corresponding to the striking degree, combining the leakage intensity interval with a corresponding second color, inputting a preset blank database (original no content in the database) after combination, and finishing the establishment;

according to the embodiment of the invention, the color conspicuity degree survey data and the behavior data determine the color which can accurately represent the emergency degree and is suitable for the user who uses the color on the spot, so that the leakage image with better effect and experience sense can be conveniently manufactured, the user experience is improved, and meanwhile, the intelligent color conspicuity degree survey method and the intelligent color conspicuity degree survey method are very intelligent.

The embodiment of the invention provides a wireless acoustic imaging system for monitoring valve leakage, wherein a manufacturing module 3 is used for adjusting a first weight downwards based on different item sets, and the adjustment formula is as follows:

where γ' is the first weight after down-regulation, γ is the first weight before down-regulation, σ_tIs an intermediate variable, σ_tFor the number of different items in the t-th set of different items, μ₀N is the total number of different sets of terms, a preset number threshold.

The working principle and the beneficial effects of the technical scheme are as follows:

if the number of different items in a different item set is less than a preset number threshold [ for example: 2, describing that a few different items form a different item set, and further describing that the corresponding user does not affirm the answer or gives an answer to the user in the questionnaire; similarly, the more different item sets, the more the problem is described; the first weight is decreased to a greater extent as a second weight for the user; the formula is used for quickly adjusting the down, so that the accuracy is achieved and the efficiency is improved.

The embodiment of the invention provides a wireless acoustic imaging system for monitoring valve leakage, which further comprises:

the indicating module is used for acquiring target data of a plurality of areas in the valve equipment which is currently subjected to valve leakage monitoring, and the target data comprises: the method comprises the steps of (1) historical use record and maintenance record, sorting each region based on target data, generating a valve leakage monitoring region sorting table, and outputting the sorting table after generation;

the indicating module performs the following operations:

performing feature extraction on target data to obtain a plurality of first features;

performing feature prediction on the first features based on a preset feature prediction database to obtain a plurality of second features after feature prediction;

performing feature association on the first feature based on a preset feature association database to obtain a plurality of third features after feature association;

acquiring a preset valve leakage reason feature library, and respectively matching the first feature, the second feature and the third feature with a fourth feature in the valve leakage reason feature library;

if the matching is matched, outputting a matching matched item, wherein the matching matched item comprises: a first leakage probability of the first feature, at least one fourth feature matching the first feature, a first degree of match between the first feature and the fourth feature matching the first feature, and the fourth feature matching the first feature;

and/or the second feature, at least one fourth feature matching the second feature, a second degree of match between the second feature and the fourth feature matching the second feature, and a second probability of leakage of the fourth feature matching the second feature;

and/or the third feature, at least one fourth feature matching the third feature, a third degree of match between the third feature and the fourth feature matching the third feature, and a third probability of leakage of the fourth feature matching the third feature;

taking the sum of each first matching degree, each first leakage probability, each second matching degree, each second leakage probability, each third matching degree and each third leakage probability as the ranking index of the corresponding region;

and sequencing the regions from large to small according to the corresponding sequencing indexes.

The working principle and the beneficial effects of the technical scheme are as follows:

the preset feature prediction database specifically comprises: the method comprises the steps of including a plurality of prediction features and a plurality of matching features (mostly front parts of the prediction features) corresponding to the prediction features, matching the first features with the matching features, successfully matching, and outputting corresponding prediction features to serve as second features; the preset feature association database specifically comprises: contains a plurality of feature sets, each feature set having a plurality of associated features [ for example: features of different expression forms ], if the first feature is matched with the associated feature in a certain feature set in the database, outputting other associated features in the feature set as a third feature; the preset valve leakage reason characteristic library is specifically as follows: the method comprises the steps that a database is formed by combining a plurality of characteristics obtained by extracting characteristics of valve leakage reason data on the Internet, wherein each characteristic in the database corresponds to a leakage probability which represents the probability of valve leakage caused by the characteristic (counted in advance by background personnel); taking the sum of the first matching degree, the first leakage probability, the second matching degree, the second leakage probability, the third matching degree and the third leakage probability as a ranking index of a corresponding region, wherein the larger the ranking index is, the more easily valve leakage occurs in the region, and the valve leakage is ranked to the top for a user to check;

according to the embodiment of the invention, the regions are sorted based on the target data, and the valve leakage monitoring region sorting table is generated, so that the user can conveniently check the valve leakage monitoring region sorting table, and the working efficiency of the user is greatly improved.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.