阅读说明：本技术 一种基于双目视觉技术的刀闸智能识别系统及方法 (Intelligent switch identification system and method based on binocular vision technology ) 是由 范亮 汤坚 秦若涵 朱克隽 许思捷 张磊 李刚领 于 2019-10-16 设计创作，主要内容包括：本发明属于隔离刀闸技术领域,具体的说是一种基于双目视觉技术的刀闸智能识别系统及方法,包括图像采集装置、信号转换装置、计算分析系统和无线传输装置；所述图像采集装置与信号转换装置之间通过导线连接；所述信号转换装置通过无线传输装置与计算分析系统无线连接；本发明中,通过在刀闸部位设置有左高清夜视网络摄像头与右高清夜视网络摄像头,从而能够对刀闸动静触头的图像进行双向采集,通过计算模块对识别靶标的位置进行识别从而得出同名点,并以同名点为坐标原点建立坐标系计算刀闸动静触头所在坐标点之间的点距,能够计算出动静触头之间的点距,提高点距计算的精度,降低了直接测量时存在的误差造成误判的几率。(The invention belongs to the technical field of isolation switches, in particular to a system and a method for intelligently identifying a switch based on a binocular vision technology, which comprises an image acquisition device, a signal conversion device, a calculation analysis system and a wireless transmission device, wherein the image acquisition device is used for acquiring images of the switch; the image acquisition device is connected with the signal conversion device through a lead; the signal conversion device is in wireless connection with the calculation analysis system through a wireless transmission device; according to the invention, the left high-definition night vision network camera and the right high-definition night vision network camera are arranged at the disconnecting link part, so that the images of the moving and static contacts of the disconnecting link can be bidirectionally collected, the positions of the identification targets are identified through the calculation module so as to obtain the homonymous points, a coordinate system is established by taking the homonymous points as the coordinate origin to calculate the point distance between the coordinate points where the moving and static contacts of the disconnecting link are located, the point distance between the moving and static contacts can be calculated, the point distance calculation precision is improved, and the probability of misjudgment caused by errors existing in the direct measurement is reduced.)

1. A intelligent disconnecting link identification system based on a binocular vision technology is characterized by comprising an image acquisition device, a signal conversion device, a calculation analysis system and a wireless transmission device; the image acquisition device is connected with the signal conversion device through a lead; the signal conversion device is in wireless connection with the calculation analysis system through a wireless transmission device;

the image acquisition device is used for acquiring an image of the identification target on the moving and static contacts of the knife brake;

the signal conversion device is used for transmitting image data acquired by the image acquisition device to the calculation analysis system, and the image acquisition device comprises a left high-definition night vision network camera and a right high-definition night vision network camera; the left high-definition night vision network camera and the right high-definition night vision network camera are used for collecting images of the moving static contact of the knife brake;

the calculation analysis system operates on the basis of a fixed terminal in the master control room and is used for processing image data in the image acquisition device;

and the wireless transmission device is used for transmitting the processing result to a second fixed terminal of the operation and maintenance personnel through a wireless network.

2. The intelligent disconnecting link identification system based on binocular vision technology as claimed in claim 1, wherein the left high-definition night vision webcam and the right high-definition night vision webcam are both mounted on two sides of the disconnecting link through a fixing frame respectively, and the distance between the left high-definition night vision webcam and the right high-definition night vision webcam is 120 cm.

3. The intelligent identification system of the disconnecting link based on the binocular vision technology as claimed in claim 1, wherein the calculation analysis system comprises a calculation module, a parameter module and a comparison module; the computing module is used for processing the data transmitted by the wireless transmission device; the parameter module is used for inputting the interval of the point distance; and the comparison module is used for comparing the result in the calculation module with the data in the parameter module.

4. The intelligent disconnecting link identification system based on the binocular vision technology as claimed in claim 3, wherein a disconnecting link opening state point distance interval, a disconnecting link closing state point distance interval and a disconnecting link abnormal state point distance interval are recorded in the parameter module, wherein the disconnecting link opening state point distance interval and the disconnecting link closing state point distance interval are used for judging the opening and closing of the disconnecting link.

5. An intelligent identification method of a disconnecting link based on a binocular vision technology, the identification method is suitable for the identification system of any one of claims 1 to 4, and is characterized by comprising the following steps:

s1: a left high-definition night vision network camera and a right high-definition night vision network camera in an image acquisition device in the identification system respectively acquire a plurality of groups of images of the disconnecting link part and transmit the acquired plurality of groups of images to a signal conversion device;

s2: transmitting the two images to a calculation analysis system through a signal conversion device in S1 for calculation, and calculating data of the positions of the identification targets on the disconnecting links in the multiple groups of images and the homonymous points on the multiple groups of images; wherein, the homonymous point is the center of the recognition target in the same group of images;

s3: calculating two homonymous points of the same group of images according to the calculation and analysis system in S2, establishing a coordinate system, and calculating the point distance between the moving contact and the fixed contact of the disconnecting link;

s4: and judging the point distances among the moving contacts and the fixed contacts of the knife switch in the plurality of groups of images calculated in the S3 through a calculation and analysis system, and determining the closing state of the knife switch.

6. The intelligent identification method for the disconnecting link based on the binocular vision technology, according to claim 5, wherein the step S4 specifically includes:

and arranging the multiple point distances of the multiple groups of images calculated in the calculation and analysis system in sequence, and comparing the multiple point distances with the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link recorded in the parameter module through a comparison module to determine the closing state of the disconnecting link.

7. The intelligent identification method for the disconnecting link based on the binocular vision technology according to claim 5, further comprising after the step S4:

and transmitting the final value and the plurality of groups of images to a second fixed terminal through wireless transmission by a wireless transmission device.

Technical Field

The invention relates to the technical field of isolation switches, in particular to a system and a method for intelligently identifying a switch based on a binocular vision technology.

Background

The isolation disconnecting link is the most used electrical appliance in the high-voltage switch electrical appliances, plays the role of an isolation circuit, has large working usage amount and high requirement on working reliability, has great influence on the design, the establishment and the safe operation of a transformer substation and a power plant, and is mostly arranged in remote areas.

The mode of manual on-site observation and judgment is adopted at the present stage, the mode is time-consuming, labor-consuming and low in efficiency, especially in a transformer substation with a remote position, the manual work cannot monitor the transformer substation in real time, potential safety hazards easily appear in the long monitoring period, the transmission line cannot be normally used, the subjective influence of an observer is easily received, meanwhile, the knife switch state is directly monitored by partially adopting an image recognition technology, the reliability of a visual monitoring system is not improved, the opening and closing state of the knife switch is mostly judged only by observing images, the relative distance between a movable contact and a fixed contact of the knife switch cannot be accurately observed, and the error is larger during direct measurement.

Disclosure of Invention

In order to overcome the technical problems, the invention aims to provide an intelligent disconnecting link identification system and method based on a binocular vision technology, wherein a left high-definition night vision network camera and a right high-definition night vision network camera are arranged at the position of a disconnecting link, so that images of moving and static contacts of the disconnecting link can be acquired in a two-way mode, a calculation module is used for identifying the position of an identification target so as to obtain a homonymous point, a coordinate system is established by taking the homonymous point as a coordinate origin to calculate the point distance between coordinate points of the moving and static contacts of the disconnecting link, the distance between the moving and static contacts can be calculated, the precision of point distance calculation is improved, the reliability of a vision monitoring system is effectively improved, and the probability of misjudgment caused by errors existing in direct measurement is reduced.

The purpose of the invention can be realized by the following technical scheme:

a kind of intelligent identification system of disconnecting link based on binocular vision technology, including image acquisition device, signal conversion device, calculation analysis system and wireless transmission device; the image acquisition device is connected with the signal conversion device through a lead; the signal conversion device is in wireless connection with the calculation analysis system through a wireless transmission device;

the image acquisition device is used for acquiring an image of the identification target on the moving and static contacts of the knife brake;

the signal conversion device is used for transmitting image data acquired by the image acquisition device to the calculation analysis system, and the image acquisition device comprises a left high-definition night vision network camera and a right high-definition night vision network camera; the left high-definition night vision network camera and the right high-definition night vision network camera are used for collecting images of the moving static contact of the knife brake;

the calculation analysis system operates on the basis of a fixed terminal in the master control room and is used for processing image data in the image acquisition device; the collected images are collected through the calculation and analysis system, then a coordinate system is established according to the same-name points, the distance between the movable contact and the fixed contact of the disconnecting link is accurately identified and measured, and a judgment basis can be provided for judging whether the opening and closing of the disconnecting link are in a required range, so that the reliability of a visual monitoring system is improved, and the probability of errors in visual monitoring is reduced;

the wireless transmission device is used for transmitting the processing result to a second fixed terminal of the operation and maintenance personnel through a wireless network; the operation and maintenance personnel can conveniently carry out secondary monitoring, the monitoring precision is further improved, and the accident probability is reduced.

Further, the method comprises the following steps: the left high-definition night vision network camera and the right high-definition night vision network camera are both arranged on two sides of the disconnecting link through fixing frames respectively, and the distance between the left high-definition night vision network camera and the right high-definition night vision network camera is 120 cm; the tool setting floodgate static contact is convenient for carry out multi-angle image acquisition, reduces the error.

Further, the method comprises the following steps: the calculation analysis system comprises a calculation module, a parameter module and a comparison module; the computing module is used for processing the data transmitted by the wireless transmission device; the parameter module is used for inputting the interval of the point distance; and the comparison module is used for comparing the result in the calculation module with the data in the parameter module.

Further, the method comprises the following steps: a disconnecting link opening state point distance interval, a disconnecting link closing state point distance interval and a disconnecting link abnormal state point distance interval are recorded in the parameter module, wherein the disconnecting link opening state point distance interval and the disconnecting link closing state point distance interval are used for judging the opening and closing of the disconnecting link; the numerical values of the point distances in the calculation module are compared with the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link in the parameter module through the judgment module, so that the number of the point distances meeting the conditions in the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link can be obtained, and the closing state of the movable and fixed contacts of the disconnecting link is further determined.

A method for intelligently identifying a disconnecting link based on a binocular vision technology comprises the following steps:

s1: a left high-definition night vision network camera and a right high-definition night vision network camera in an image acquisition device in the identification system respectively acquire a plurality of groups of images of the disconnecting link part and transmit the acquired plurality of groups of images to a signal conversion device; the precision of calculating the homonymy point can be improved by acquiring the double-angle image of the moving static contact of the knife gate and identifying the identification target on the knife gate;

s2: transmitting the two images to a calculation analysis system through a signal conversion device in S1 for calculation, and calculating data of the positions of the identification targets on the disconnecting links in the multiple groups of images and the homonymous points on the multiple groups of images; wherein, the homonymous point is the center of the recognition target in the same group of images; calculating the homonymous points of the same group of images through a calculation and analysis system, so as to establish a coordinate system by taking the homonymous points as a reference;

s3: calculating two homonymous points of the same group of images according to the calculation and analysis system in S2, establishing a coordinate system, and calculating the point distance between the moving contact and the fixed contact of the disconnecting link; establishing a coordinate system by taking the homonymous points on two images in the same group of images as a reference, and then determining the coordinates of the two homonymous points, wherein the coordinates of the two homonymous points are respectively the coordinates in the images collected by the left high-definition night vision network camera and the right high-definition night vision network camera, so that the dot pitch of the two homonymous points can be calculated, and the dot pitch calculation precision is improved;

s4: and judging the point distances among the moving contacts and the fixed contacts of the knife switch in the plurality of groups of images calculated in the S3 through a calculation and analysis system, and determining the closing state of the knife switch.

Further, the method comprises the following steps: the step S4 specifically includes:

arranging a plurality of point distances of a plurality of groups of images calculated in the calculation and analysis system in sequence, and comparing the plurality of point distances with a disconnecting link opening state point distance interval, a disconnecting link closing state point distance interval and a disconnecting link abnormal state point distance interval recorded in the parameter module through a comparison module to determine the closing state of the disconnecting link; the method can accurately calculate the relative distance between the moving contact and the fixed contact of the disconnecting link to obtain the accurate point distance, and compares the accurate point distance with a plurality of intervals in the parameter module, thereby obtaining the number of the point distances contained in the interval of the point distance of the opening state of the disconnecting link, the interval of the point distance of the closing state of the disconnecting link and the interval of the point distance of the abnormal state of the disconnecting link, determining the interval with the maximum number of the point distances to output, thereby obtaining the closing state of the disconnecting link, and effectively reducing the probability of misjudgment caused by errors existing in the process of direct measurement.

Further, the method comprises the following steps: the method further includes, after the step S4:

the final value and the plurality of groups of images are transmitted to a second fixed terminal through wireless transmission by a wireless transmission device; the real-time images and the results are transmitted to the second fixed terminal through the transmission network through the wireless transmission device, operation and maintenance personnel can monitor the actual condition of closing the knife gate in real time, and therefore the efficiency of daily operation management and maintenance of the transformer substation can be improved, and the probability of accidents is reduced.

The invention has the beneficial effects that:

1. the left high-definition night vision network camera and the right high-definition night vision network camera are arranged at the disconnecting link part, so that the images of the moving static contact of the disconnecting link can be bidirectionally collected, the positions of the recognition targets are recognized through the calculation module, the homonymous points are obtained, a coordinate system is established by taking the homonymous points on the two images in the same group of images as a reference, then the coordinates of the two homonymous points are determined, and the coordinates of the two homonymous points are respectively the coordinates in the images collected by the left high-definition night vision network camera and the right high-definition night vision network camera, so that the dot pitch of the two homonymous points can be calculated, the dot pitch calculation precision is improved, the reliability of a visual monitoring system is effectively improved, and the probability of misjudgment caused by errors existing in direct measurement is reduced.

2. The numerical values of the point distances in the calculation module are compared with the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link in the parameter module through the judgment module, so that the number of the point distances meeting the conditions in the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link can be obtained, the closing state of the movable and fixed contacts of the disconnecting link is further determined, and the probability of misjudgment caused by errors existing in direct measurement is effectively reduced; the real-time images and the results are transmitted to the second fixed terminal through the transmission network through the wireless transmission device, operation and maintenance personnel can monitor the actual condition of closing the knife gate in real time, and therefore the efficiency of daily operation management and maintenance of the transformer substation can be improved, and the probability of accidents is reduced.

Drawings

The invention will be further described with reference to the accompanying drawings.

FIG. 1 is a block diagram of the structure of an identification system of the present invention;

FIG. 2 is a block diagram of the architecture of the computational analysis system of the present invention;

FIG. 3 is a block flow diagram of the identification method of the present invention;

FIG. 4 is a flow chart of the identification method of the present invention;

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-4, an intelligent identification system for a disconnecting link based on binocular vision technology includes an image acquisition device, a signal conversion device, a calculation and analysis system and a wireless transmission device; the image acquisition device is connected with the signal conversion device through a lead; the signal conversion device is in wireless connection with the calculation analysis system through a wireless transmission device;

the image acquisition device is used for acquiring an image of the identification target on the moving and static contacts of the knife brake;

the signal conversion device is used for transmitting image data acquired in the image acquisition device to the calculation analysis system, and the image acquisition device comprises a left high-definition night vision network camera and a right high-definition night vision network camera; the left high-definition night vision network camera and the right high-definition night vision network camera are used for collecting images of the moving static contact of the knife brake;

the calculation analysis system operates on the basis of the fixed terminal I in the master control room and is used for processing image data in the image acquisition device; the collected images are collected through a calculation and analysis system, a coordinate system is established according to the same-name points, the distance between the movable contact and the fixed contact of the disconnecting link is accurately identified and measured, and a judgment basis can be provided for judging whether the opening and closing of the disconnecting link are in a required range, so that the reliability of a visual monitoring system is improved, and the probability of errors in visual monitoring is reduced;

the wireless transmission device is used for transmitting the processing result to a second fixed terminal of the operation and maintenance personnel through a wireless network; the operation and maintenance personnel can conveniently carry out secondary monitoring, the monitoring precision is further improved, and the accident probability is reduced.

The left high-definition night vision network camera and the right high-definition night vision network camera are respectively arranged on two sides of the disconnecting link through fixing frames, and the distance between the left high-definition night vision network camera and the right high-definition night vision network camera is 120 cm; the multi-angle image acquisition of the static and moving contacts of the knife brake is facilitated; the calculation analysis system comprises a calculation module, a parameter module and a comparison module; the computing module is used for processing the data transmitted by the wireless transmission device; the parameter module is used for inputting the interval of the point distance; the comparison module is used for comparing the result in the calculation module with the data in the parameter module; a disconnecting link opening state point distance interval, a disconnecting link closing state point distance interval and a disconnecting link abnormal state point distance interval are recorded in the parameter module, wherein the disconnecting link opening state point distance interval and the disconnecting link closing state point distance interval are used for judging the opening and closing of the disconnecting link; the numerical values of the point distances in the calculation module are compared with the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link in the parameter module through the judgment module, so that the number of the point distances meeting the conditions in the point distance interval of the opening state of the disconnecting link, the point distance interval of the closing state of the disconnecting link and the point distance interval of the abnormal state of the disconnecting link can be obtained, and the closing state of the movable and fixed contacts of the disconnecting link is further determined.

A method for intelligently identifying a disconnecting link based on a binocular vision technology comprises the following steps:

s1: a left high-definition night vision network camera and a right high-definition night vision network camera in an image acquisition device in the identification system respectively acquire a plurality of groups of images of the disconnecting link part and transmit the acquired plurality of groups of images to a signal conversion device; the precision of calculating the homonymy point can be improved by acquiring the double-angle image of the moving static contact of the knife gate and identifying the identification target on the knife gate;

s2: transmitting the two images to a calculation analysis system through a signal conversion device in S1 for calculation, and calculating data of the positions of the identification targets on the disconnecting links in the multiple groups of images and the homonymous points on the multiple groups of images; wherein, the homonymous point is the center of the recognition target in the same group of images; calculating the homonymous points of the same group of images through a calculation and analysis system, so as to establish a coordinate system by taking the homonymous points as a reference;

s3: calculating two homonymous points of the same group of images according to the calculation and analysis system in S2, establishing a coordinate system, and calculating the point distance between the moving contact and the fixed contact of the disconnecting link; establishing a coordinate system by taking the homonymous points on two images in the same group of images as a reference, and then determining the coordinates of the two homonymous points, so that the point distance between the two homonymous points can be calculated, the distance between a moving contact and a static contact can be calculated, and the calculation accuracy of the point distance is improved;

s4: and judging the point distances among the moving contacts and the fixed contacts of the knife switch in the plurality of groups of images calculated in the S3 through a calculation and analysis system, and determining the closing state of the knife switch.

Step S4 specifically includes:

arranging a plurality of point distances of a plurality of groups of images calculated in the calculation and analysis system in sequence, and comparing the plurality of point distances with a disconnecting link opening state point distance interval, a disconnecting link closing state point distance interval and a disconnecting link abnormal state point distance interval recorded in the parameter module through a comparison module to determine the closing state of the disconnecting link; the method can accurately calculate the relative distance between the moving contact and the fixed contact of the disconnecting link to obtain the accurate point distance, and compares the accurate point distance with a plurality of intervals in the parameter module, thereby obtaining the number of the point distances contained in the interval of the point distance of the opening state of the disconnecting link, the interval of the point distance of the closing state of the disconnecting link and the interval of the point distance of the abnormal state of the disconnecting link, determining the interval with the maximum number of the point distances to output, thereby obtaining the closing state of the disconnecting link, and effectively reducing the probability of misjudgment caused by errors existing in the process of direct measurement.

Further included after step S4 is:

the final value and the plurality of groups of images are transmitted to a second fixed terminal through wireless transmission by a wireless transmission device; the real-time images and the results are transmitted to the second fixed terminal through the transmission network through the wireless transmission device, operation and maintenance personnel can monitor the actual condition of closing the knife gate in real time, and therefore the efficiency of daily operation management and maintenance of the transformer substation can be improved, and the probability of accidents is reduced.

In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The foregoing is illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.