阅读说明：本技术 基于物联网和大数据协同作用的燃气安全监测方法和云监测平台 (Gas safety monitoring method and cloud monitoring platform based on synergistic effect of Internet of things and big data ) 是由 解一凡 阳纯 于 2021-01-13 设计创作，主要内容包括：本发明公开基于物联网和大数据协同作用的燃气安全监测方法和云监测平台,通过对架空铺设的燃气管道进行监测点布设,并对各监测点进行泄露检测,进而从中统计燃气泄露监测点,从而分析燃气泄露监测点对应的扩散面积及扩散面积区域环境图像中人员数量,由此统计燃气管道的综合危险系数,弥补了目前对架空铺设燃气管道泄露监测手段存在的在非排查时间内燃气管道出现泄露时监管人员无法及时得知的不足和无法定量获取泄露处的泄露气体浓度对周围环境影响的不足,降低了因燃气管道泄露造成安全事故的发生率,满足了现在燃气管道泄露的综合化监测需求,具有智能化程度高和实用性强的特点。(The invention discloses a gas safety monitoring method and a cloud monitoring platform based on the synergistic effect of the Internet of things and big data, by arranging monitoring points on the overhead gas pipeline and detecting leakage of each monitoring point, further counting the gas leakage monitoring points from the data, analyzing the diffusion area corresponding to the gas leakage monitoring points and the number of people in the environment image of the diffusion area, from this statistics gas pipeline's comprehensive danger coefficient, compensate present to the built on stilts gas pipeline of laying reveal that monitoring means exists appear in the non-investigation time gas pipeline appear reveal not enough that the supervisor can't in time learn and can't quantitative acquire reveal the gas concentration of revealing of department to the not enough of surrounding environment influence, reduced because of gas pipeline reveals the incidence that causes the incident, satisfied present gas pipeline reveals the comprehensive monitoring demand, have intelligent degree height and the characteristics that the practicality is strong.)

1. The fuel gas safety monitoring method based on the synergistic effect of the Internet of things and big data is characterized by comprising the following steps: comprises the following steps;

s1, pipeline section division and marking, namely acquiring the number of pipeline connection points of a gas pipeline laid overhead, marking the gas pipeline between two adjacent pipeline connection points as a pipeline section, counting the number of the pipeline sections between the adjacent pipeline connection points, numbering the counted pipeline sections according to a preset sequence, and sequentially marking the counted pipeline sections as 1,2.. i.. n;

s2, laying pipeline section monitoring points, namely laying the monitoring points of each counted pipeline section to obtain a plurality of monitoring points laid by each pipeline section, numbering the monitoring points laid by each pipeline section according to the distance sequence from the monitoring points to the end point of the pipeline section, and sequentially marking the monitoring points as 1,2.

S3, constructing a monitoring point gas concentration parameter set, namely respectively installing a first gas concentration detection device and a high-definition camera at each monitoring point distributed on each pipeline section, wherein the high-definition camera is used for collecting surrounding environment images under each monitoring point, the first gas concentration detection device is used for detecting the concentration of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section in real time, and the detected concentration of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section forms a monitoring point gas concentration parameter set D_w ^p(d_w ^p1,d_w ^p2,...,d_w ^pk,...,d_w ^pl)，d_w ^pk is a numerical value corresponding to the w-th gas concentration parameter of the kth monitoring point of the p-th pipeline segment, p is a pipeline segment number, p is 1,2, i.n, w is a gas concentration parameter, and w is f1, f2, f1 and f2 are respectively hydrogen sulfide concentration and carbon monoxide concentration;

s4, gas leakage pipeline section and gas leakage monitoring point statistics: comparing the monitoring point gas concentration parameter set with standard concentrations corresponding to hydrogen sulfide and carbon monoxide in the atmosphere stored in a safety database, if the concentration of a certain gas detected by a monitoring point on a certain pipeline section is not within the standard concentration corresponding to the gas in the atmosphere, marking the pipeline section as a gas leakage pipeline section, the monitoring point is a gas leakage monitoring point, the number of the gas leakage pipeline section is counted at the moment and can be recorded as 1,2.. j.. m, counting the number of the gas leakage monitoring points corresponding to each gas leakage pipeline section, which can be marked as 1,2.. a.. z, the gas leakage monitoring system further carries out early warning, numbers of the gas leakage pipeline sections and the corresponding gas leakage monitoring points are sent to a gas safety supervision center, and relevant supervision personnel are dispatched by the gas safety supervision center to carry out processing in time;

s5, arranging diffusion monitoring points, namely respectively arranging a plurality of diffusion monitoring points on each gas leakage monitoring point on each gas leakage pipeline section along one side in the direction perpendicular to the pipeline section, numbering the arranged diffusion monitoring points according to the sequence from near to far of the gas leakage monitoring points corresponding to the distance, respectively marking the diffusion monitoring points as 1,2, b, y, further respectively installing second gas concentration detection equipment on each diffusion monitoring point, and detecting the concentrations of hydrogen sulfide and carbon monoxide corresponding to each diffusion monitoring point arranged on each gas leakage pipeline section, and further forming a diffusion monitoring point gas concentration parameter set Q from the detection results_w ^ux(q_w ^ux1,q_w ^ux2,...,q_w ^uxb,...,q_w ^uxy)，q_r ^uxb represents the numerical value that the w number gas concentration parameter that the x number gas revealed the monitoring point setting on the pipeline section was revealed for the u number gas reveals that the w number that the monitoring point corresponds of b number, u indicates that the pipeline section was revealed for the gas, and u 1,2.J.. m, x represents a gas leakage monitoring point number, and x is 1,2.. a.. z;

s6, calculating the diffusion area corresponding to the gas leakage monitoring points, namely sequentially extracting the concentrations of hydrogen sulfide and carbon monoxide corresponding to each diffusion monitoring point from a gas concentration parameter set of the diffusion monitoring points according to the numbering sequence of the diffusion monitoring points, comparing the concentrations with the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere stored in a safety database, stopping comparison if the concentrations of the hydrogen sulfide and the carbon monoxide corresponding to a certain diffusion monitoring point arranged on a certain gas leakage pipeline section are firstly within the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere, taking the diffusion monitoring point as a diffusion termination monitoring point, calculating the numbers of the diffusion termination monitoring points corresponding to the gas leakage monitoring points on the gas leakage pipeline sections, and obtaining the distance between the diffusion termination monitoring points corresponding to the gas leakage monitoring points on the gas leakage pipeline sections and the gas leakage monitoring points, the distance is recorded as a diffusion distance, and the diffusion distances corresponding to the gas leakage monitoring points on the gas leakage pipeline sections form a gas leakage monitoring point diffusion distance set R^u(r^u1,r^u2,...,r^ua,...,r^uz)，r^ua is expressed as the diffusion distance corresponding to the a-th gas leakage monitoring point on the u-th gas leakage pipeline section, so that the diffusion area corresponding to each gas leakage monitoring point on each gas leakage pipeline section is counted according to the diffusion distance set of the gas leakage monitoring points;

s7, acquiring diffusion area environment images, namely comparing diffusion areas corresponding to the gas leakage monitoring points on the gas leakage pipeline sections with standard camera focal lengths corresponding to the diffusion areas in a safety database respectively, screening out the standard camera focal lengths corresponding to the gas leakage monitoring points on the gas leakage pipeline sections, further adjusting the high-definition camera focal lengths of the gas leakage monitoring points on the gas leakage pipeline sections to enable the high-definition camera focal lengths to be the same as the standard camera focal lengths corresponding to the gas leakage monitoring points, starting the high-definition cameras of the gas leakage monitoring points on the gas leakage pipeline sections to acquire the diffusion area environment images corresponding to the gas leakage monitoring points on the gas leakage pipeline sections at the moment, and acquiring the diffusion area environment images corresponding to the gas leakage monitoring points on the gas leakage pipeline sections;

s8, analyzing the number of the personnel in the diffusion area environment image, namely, performing image enhancement processing on the obtained diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section, and analyzing the number of the personnel in the diffusion area environment image after the enhancement processing to obtain the number of the personnel in the diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section;

s9, constructing a leakage monitoring point leakage parameter set, namely extracting the concentration of hydrogen sulfide and carbon monoxide corresponding to each gas leakage monitoring point on each gas leakage pipeline section from the monitoring point gas concentration parameter set according to the number of the gas leakage pipeline section and the number of the corresponding gas leakage monitoring point, and further forming the concentration of hydrogen sulfide and carbon monoxide corresponding to each gas leakage monitoring point, the diffusion area and the number of personnel in the regional environment image of the diffusion area into a leakage monitoring point leakage parameter set G_x ^u(g_x ^u1,g_x ^u2,...,g_x ^ua,...,g_x ^uz)，g_x ^uz is a numerical value corresponding to the x leakage parameter of the a-th gas leakage monitoring point on the u-th gas leakage pipeline section, x is a leakage parameter, and x is e1, e2, e3, e4, e1, e2, e3 and e4 are respectively expressed as hydrogen sulfide concentration, carbon monoxide concentration, diffusion area and the number of persons in an environment image of the diffusion area region;

s10, comprehensive danger coefficient statistics, namely extracting a diffusion danger coefficient corresponding to each diffusion area in the safety data and a personnel danger coefficient corresponding to the number of personnel in an environment image of each diffusion area, comparing the diffusion danger coefficient corresponding to each diffusion area on each gas leakage pipeline section in a leakage parameter set of the leakage monitoring point and the number of personnel in the environment image of each diffusion area with the diffusion danger coefficient corresponding to each diffusion area and the personnel danger coefficient corresponding to the number of personnel in the environment image of each diffusion area, and further screening the diffusion danger coefficient and the personnel danger coefficient corresponding to each gas leakage monitoring point on each gas leakage pipeline section in the leakage parameter set of the leakage monitoring point, so that the comprehensive danger coefficient of the gas pipeline is counted.

2. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: in the step S2, monitoring point layout is performed on each counted pipeline segment, and the specific layout method includes the following steps:

w1: counting the length of each pipeline section;

w2: and evenly dividing the counted lengths of the pipeline sections equally, wherein each equal division point is a monitoring point.

3. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: first gas concentration check out test set is first gas sensor, first gas sensor is used for detecting hydrogen sulfide and the carbon monoxide concentration of each monitoring point on each pipeline section, second gas concentration check out test set is second gas sensor, second gas sensor is used for detecting each gas and reveals hydrogen sulfide and carbon monoxide concentration that each diffusion monitoring point that the monitoring point set up was revealed to each gas on the pipeline section.

4. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: and S4, acquiring the geographical position of the gas leakage monitoring point on each gas leakage pipeline section through a GPS locator, and sending the acquired geographical position of the gas leakage monitoring point on each gas leakage pipeline section to a gas safety supervision center.

5. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: and in the S5, the specific layout process of respectively setting a plurality of diffusion monitoring points on each gas leakage pipeline section along one side in the vertical direction of the pipeline section is that each diffusion monitoring point is respectively set on one side in the vertical direction of the pipeline section at the position of each gas leakage monitoring point on each gas leakage pipeline section according to the set spacing distance.

6. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: the calculation formula of the diffusion area corresponding to each gas leakage monitoring point on each gas leakage pipeline section is S^ua＝π*(r^ua)²，S^uand a is expressed as the diffusion area corresponding to the a-th gas leakage monitoring point on the u-th gas leakage pipeline section.

7. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: and in the step S8, performing personnel quantity analysis on the diffusion area region environment image after the enhancement processing, wherein the specific analysis process of the personnel quantity analysis includes extracting the body contour of the diffusion area region environment image after the enhancement processing, and counting the number of the body contours of the people extracted from the diffusion area region environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section, and the number of the extracted body contours is the number of the personnel on the diffusion area region environment image corresponding to each gas leakage monitoring point.

8. The gas safety monitoring method based on the cooperation of the Internet of things and big data according to claim 1, characterized in that: the calculation formula of the comprehensive danger coefficient of the gas pipeline isg_e1 ^ua、g_e2 ^ua、ε^u _a、η^u _aRespectively expressed as the concentration of hydrogen sulfide, the concentration of carbon monoxide, the diffusion danger coefficient, the personnel danger coefficient and O corresponding to the alpha gas leakage monitoring point on the u gas leakage pipeline section_{e1 standard}、O_{e2 standard}Respectively expressed as standard concentrations corresponding to hydrogen sulfide and carbon monoxide in the atmosphere.

9. A cloud monitoring platform, its characterized in that: the cloud monitoring platform comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one gas safety monitoring device, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the gas safety monitoring method based on the internet of things and big data synergy according to any one of claims 1 to 8.

Technical Field

The invention belongs to the technical field of gas safety monitoring, and particularly relates to a gas safety monitoring method and a cloud monitoring platform based on the synergistic effect of the Internet of things and big data.

Background

With the continuous development of social economy and the continuous acceleration of industrialization process, the quality of life and the living standard of people are continuously improved, gas is used as an important energy source and is closely related to the daily life of people, and the safety problem of pipeline transportation is also generally concerned and highly regarded by various social circles. For the gas pipeline laid overhead, as the gas has the characteristics of flammability, explosiveness and toxicity, once leakage occurs, the conditions of fire and explosion are easily caused, the surrounding environment below the gas pipeline is affected badly, and the life safety of people in the surrounding environment is harmed. Therefore, to ensure the safe transportation of the overhead gas pipeline, the leakage safety monitoring of the gas pipeline must be strengthened.

At present, the leakage monitoring means for laying the gas pipeline overhead generally refers to that a gas supervisor carries out manual investigation on the gas pipeline regularly, and the monitoring means has the following defects:

1. in the non-troubleshooting time, when the gas pipeline leaks, the leakage cannot be known in time, so that serious safety accidents are caused;

2. the gas concentration that reveals of department can only be obtained to its manual investigation result, and the influence of the gas concentration that reveals of department to surrounding environment can't quantitative acquisition, and then makes the result of monitoring too single, is difficult to satisfy the comprehensive monitoring demand that present gas pipeline revealed.

Disclosure of Invention

In order to overcome the defects of the background art, the invention provides a gas safety monitoring method and a cloud monitoring platform based on the synergistic effect of the Internet of things and big data.

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

in a first aspect, the invention provides a gas safety monitoring method based on the synergistic effect of the Internet of things and big data, which comprises the following steps:

s1, pipeline section division and marking, namely acquiring the number of pipeline connection points of a gas pipeline laid overhead, marking the gas pipeline between two adjacent pipeline connection points as a pipeline section, counting the number of the pipeline sections between the adjacent pipeline connection points, numbering the counted pipeline sections according to a preset sequence, and sequentially marking the counted pipeline sections as 1,2.. i.. n;

s2, laying pipeline section monitoring points, namely laying the monitoring points of each counted pipeline section to obtain a plurality of monitoring points laid by each pipeline section, numbering the monitoring points laid by each pipeline section according to the distance sequence from the monitoring points to the end point of the pipeline section, and sequentially marking the monitoring points as 1,2.

S3, constructing a monitoring point gas concentration parameter set, namely respectively installing a first gas concentration detection device and a high-definition camera at each monitoring point distributed on each pipeline section, wherein the high-definition camera is used for collecting surrounding environment images under each monitoring point, the first gas concentration detection device is used for detecting the concentration of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section in real time, and the detected concentration of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section forms a monitoring point gas concentration parameter set D_w ^p(d_w ^p1,d_w ^p2,...,d_w ^pk,...,d_w ^pl)，d_w ^pk is a numerical value corresponding to the w-th gas concentration parameter of the kth monitoring point of the p-th pipeline segment, p is a pipeline segment number, p is 1,2, i.n, w is a gas concentration parameter, and w is f1, f2, f1 and f2 are respectively hydrogen sulfide concentration and carbon monoxide concentration;

s4, gas leakage pipeline section and gas leakage monitoring point statistics: comparing the monitoring point gas concentration parameter set with standard concentrations corresponding to hydrogen sulfide and carbon monoxide in the atmosphere stored in a safety database, if the concentration of a certain gas detected by a monitoring point on a certain pipeline section is not within the standard concentration corresponding to the gas in the atmosphere, marking the pipeline section as a gas leakage pipeline section, the monitoring point is a gas leakage monitoring point, the number of the gas leakage pipeline section is counted at the moment and can be recorded as 1,2.. j.. m, counting the number of the gas leakage monitoring points corresponding to each gas leakage pipeline section, which can be marked as 1,2.. a.. z, the gas leakage monitoring system further carries out early warning, numbers of the gas leakage pipeline sections and the corresponding gas leakage monitoring points are sent to a gas safety supervision center, and relevant supervision personnel are dispatched by the gas safety supervision center to carry out processing in time;

s5, arranging diffusion monitoring points, namely respectively arranging a plurality of diffusion monitoring points on each gas leakage monitoring point on each gas leakage pipeline section along one side in the direction perpendicular to the pipeline section, numbering the arranged diffusion monitoring points according to the sequence from near to far of the gas leakage monitoring points corresponding to the distance, respectively marking the diffusion monitoring points as 1,2, b, y, further respectively installing second gas concentration detection equipment on each diffusion monitoring point, and detecting the concentrations of hydrogen sulfide and carbon monoxide corresponding to each diffusion monitoring point arranged on each gas leakage pipeline section, and further forming a diffusion monitoring point gas concentration parameter set Q from the detection results_w ^ux(q_w ^ux1,q_w ^ux2,...,q_w ^uxb,...,q_w ^uxy)，q_r ^uxb represents a numerical value corresponding to a w-th gas concentration parameter of a b-th diffusion monitoring point arranged at an x-th gas leakage monitoring point on a u-th gas leakage pipeline section, u represents a gas leakage pipeline section number, u is 1,2.. j.. m, x represents a gas leakage monitoring point number, and x is 1,2.. a.. z;

s6, calculating the diffusion area corresponding to the gas leakage monitoring points, namely sequentially extracting the concentrations of hydrogen sulfide and carbon monoxide corresponding to each diffusion monitoring point from a gas concentration parameter set of the diffusion monitoring points according to the numbering sequence of the diffusion monitoring points, comparing the concentrations with the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere stored in a safety database, stopping comparison if the concentrations of the hydrogen sulfide and the carbon monoxide corresponding to a certain diffusion monitoring point arranged on a certain gas leakage pipeline section are firstly within the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere, taking the diffusion monitoring point as a diffusion termination monitoring point, calculating the numbers of the diffusion termination monitoring points corresponding to the gas leakage monitoring points on the gas leakage pipeline sections, and obtaining the distance between the diffusion termination monitoring points corresponding to the gas leakage monitoring points on the gas leakage pipeline sections and the gas leakage monitoring points, the distance is recorded as a diffusion distance, so that each gas leakage pipeline section is subjected to gas leakageDiffusion distances corresponding to the dew monitoring points form a gas leakage monitoring point diffusion distance set R^u(r^u1,r^u2,...,r^ua,...,r^uz)，r^ua is expressed as the diffusion distance corresponding to the a-th gas leakage monitoring point on the u-th gas leakage pipeline section, so that the diffusion area corresponding to each gas leakage monitoring point on each gas leakage pipeline section is counted according to the diffusion distance set of the gas leakage monitoring points;

s7, acquiring diffusion area environment images, namely comparing diffusion areas corresponding to the gas leakage monitoring points on the gas leakage pipeline sections with standard camera focal lengths corresponding to the diffusion areas in a safety database respectively, screening out the standard camera focal lengths corresponding to the gas leakage monitoring points on the gas leakage pipeline sections, further adjusting the high-definition camera focal lengths of the gas leakage monitoring points on the gas leakage pipeline sections to enable the high-definition camera focal lengths to be the same as the standard camera focal lengths corresponding to the gas leakage monitoring points, starting the high-definition cameras of the gas leakage monitoring points on the gas leakage pipeline sections to acquire the diffusion area environment images corresponding to the gas leakage monitoring points on the gas leakage pipeline sections at the moment, and acquiring the diffusion area environment images corresponding to the gas leakage monitoring points on the gas leakage pipeline sections;

s8, analyzing the number of the personnel in the diffusion area environment image, namely, performing image enhancement processing on the obtained diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section, and analyzing the number of the personnel in the diffusion area environment image after the enhancement processing to obtain the number of the personnel in the diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section;

s9, constructing a leakage monitoring point leakage parameter set, namely extracting the concentration of hydrogen sulfide and carbon monoxide corresponding to each gas leakage monitoring point on each gas leakage pipeline section from the monitoring point gas concentration parameter set according to the number of the gas leakage pipeline section and the number of the corresponding gas leakage monitoring point, and further forming the concentration of hydrogen sulfide and carbon monoxide corresponding to each gas leakage monitoring point, the diffusion area and the number of personnel in the regional environment image of the diffusion area into the leakage monitoring point leakage parameter setAnd G_x ^u(g_x ^u1,g_x ^u2,...,g_x ^ua,...,g_x ^uz)，g_x ^uz is a numerical value corresponding to the x leakage parameter of the a-th gas leakage monitoring point on the u-th gas leakage pipeline section, x is a leakage parameter, and x is e1, e2, e3, e4, e1, e2, e3 and e4 are respectively expressed as hydrogen sulfide concentration, carbon monoxide concentration, diffusion area and the number of persons in an environment image of the diffusion area region;

s10, comprehensive danger coefficient statistics, namely extracting a diffusion danger coefficient corresponding to each diffusion area in the safety data and a personnel danger coefficient corresponding to the number of personnel in an environment image of each diffusion area, comparing the diffusion danger coefficient corresponding to each diffusion area on each gas leakage pipeline section in a leakage parameter set of the leakage monitoring point and the number of personnel in the environment image of each diffusion area with the diffusion danger coefficient corresponding to each diffusion area and the personnel danger coefficient corresponding to the number of personnel in the environment image of each diffusion area, and further screening the diffusion danger coefficient and the personnel danger coefficient corresponding to each gas leakage monitoring point on each gas leakage pipeline section in the leakage parameter set of the leakage monitoring point, so that the comprehensive danger coefficient of the gas pipeline is counted.

According to an implementation manner of the first aspect of the present invention, in the step S2, monitoring points are distributed to each statistical pipeline segment, and the specific distribution method includes the following steps:

w1: counting the length of each pipeline section;

w2: and evenly dividing the counted lengths of the pipeline sections equally, wherein each equal division point is a monitoring point.

According to a manner that can be realized by the first aspect of the present invention, the first gas concentration detection device is a first gas sensor for detecting the concentrations of hydrogen sulfide and carbon monoxide at each monitoring point on each pipeline section, and the second gas concentration detection device is a second gas sensor for detecting the concentrations of hydrogen sulfide and carbon monoxide at each diffusion monitoring point arranged at each gas leakage monitoring point on each gas leakage pipeline section.

According to a mode that can be implemented by the first aspect of the present invention, in S4, acquiring, by a GPS locator, a geographical position of a gas leakage monitoring point on each gas leakage pipeline segment, and sending the acquired geographical position of the gas leakage monitoring point on each gas leakage pipeline segment to a gas safety supervision center.

According to a manner that can be realized by the first aspect of the present invention, in the step S5, for each gas leakage monitoring point on each gas leakage pipeline section, a specific layout process of respectively setting a plurality of diffusion monitoring points along one side in the direction perpendicular to the pipeline section is to respectively set each diffusion monitoring point along one side in the direction perpendicular to the pipeline section at each gas leakage monitoring point position on each gas leakage pipeline section according to the set spacing distance.

According to an implementation manner of the first aspect of the present invention, a calculation formula of a diffusion area corresponding to each gas leakage monitoring point on each gas leakage pipeline section is S^ua＝π*(r^ua)²，S^uand a is expressed as the diffusion area corresponding to the a-th gas leakage monitoring point on the u-th gas leakage pipeline section.

According to a manner that can be implemented by the first aspect of the present invention, in S8, the personnel number analysis is performed on the diffusion area environment image after the enhancement processing, and a specific analysis process of the personnel number analysis includes performing human body contour extraction on the diffusion area environment image after the enhancement processing, and counting the number of human body contours extracted on the diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline segment, where the number of extracted human body contours is the number of personnel on the diffusion area environment image.

According to a possible implementation manner of the first aspect of the invention, the calculation formula of the comprehensive danger coefficient of the gas pipeline isg_e1 ^uag_e2 ^uaε^u _aη^u _aAre respectively shown asThe concentration of hydrogen sulfide, the concentration of carbon monoxide, the diffusion danger coefficient, the personnel danger coefficient, O corresponding to the alpha gas leakage monitoring point on the u gas leakage pipeline sections_{e1 standard}、O_{e2 standard}Respectively expressed as standard concentrations corresponding to hydrogen sulfide and carbon monoxide in the atmosphere.

In a second aspect, the invention provides a cloud monitoring platform, which includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being communicatively connected with at least one gas safety monitoring device, the machine-readable storage medium is used for storing a program, an instruction, or a code, and the processor is used for executing the program, the instruction, or the code in the machine-readable storage medium to execute the gas safety monitoring method based on the internet of things and big data cooperation.

Based on any one of the above aspects, the invention has the following beneficial effects:

(1) according to the invention, the pipeline sections of the gas pipeline laid overhead are divided, the monitoring points of the pipeline sections are distributed, the concentrations of hydrogen sulfide and carbon monoxide of the monitoring points of the pipeline sections are detected in real time, and then the concentrations are compared with the standard concentrations corresponding to the hydrogen sulfide and carbon monoxide in the atmosphere, so that the serial numbers of the gas leakage monitoring points are counted and sent to the gas safety supervision center, relevant supervision personnel can know the serial numbers in time, the defect that the supervision personnel cannot know the serial numbers in time when the gas pipeline leaks in non-troubleshooting time in the existing gas pipeline leakage monitoring means is overcome, and the occurrence rate of safety accidents caused by the fact is reduced.

(2) According to the invention, the corresponding diffusion area of the gas leakage monitoring points and the number of the personnel in the environmental image of the diffusion area are analyzed, and the comprehensive danger coefficient of the gas pipeline is counted according to the corresponding concentrations of hydrogen sulfide and carbon monoxide in the gas leakage monitoring points and the number of the personnel in the environmental image of the diffusion area and the diffusion area, so that the quantitative display of the influence of the leakage concentration corresponding to the gas pipeline leakage monitoring points on the surrounding environment is realized by the comprehensive danger coefficient, the defect that the influence of the leakage gas concentration at the leakage part on the surrounding environment cannot be quantitatively obtained in the existing gas pipeline leakage monitoring means is overcome, the comprehensiveness and comprehensiveness of the monitoring results are reflected, the requirement of the existing gas pipeline leakage comprehension monitoring is met, and the gas pipeline leakage monitoring system has the characteristics of high intelligent degree and strong practicability.

(3) When the serial numbers of the gas leakage monitoring points are counted, the geographic positions corresponding to the gas leakage monitoring points are also obtained and are sent to the gas safety supervision center, so that a supervisor can conveniently find the corresponding gas leakage monitoring points as soon as possible according to the sent geographic positions, the time for finding on the road is saved, and the phenomenon that the gas is continuously leaked due to overlong finding time, and further greater safety accidents are caused is avoided.

Drawings

The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.

FIG. 1 is a flow chart of the steps of a method of the present invention;

FIG. 2 is a schematic view showing the arrangement of diffusion monitoring points of each gas leakage monitoring point on each gas leakage pipeline section according to 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 drawings in 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, in a first aspect, the invention provides a gas safety monitoring method based on the cooperation of the internet of things and big data, which includes the following steps:

s1, pipeline section division and marking, namely acquiring the number of pipeline connection points of a gas pipeline laid overhead, marking the gas pipeline between two adjacent pipeline connection points as a pipeline section, counting the number of the pipeline sections between the adjacent pipeline connection points, numbering the counted pipeline sections according to a preset sequence, and sequentially marking the counted pipeline sections as 1,2.. i.. n;

in the embodiment, the pipeline section division is carried out on the overhead-laid gas pipeline, so that a foundation is laid for the subsequent monitoring point arrangement of the pipeline section;

s2, laying monitoring points of the pipeline sections, namely laying the monitoring points of each counted pipeline section, wherein the specific laying method comprises the following steps:

w1: counting the length of each pipeline section;

w2: uniformly dividing the counted length of each pipeline section equally, wherein each equally divided point is a monitoring point, and numbering a plurality of monitoring points distributed on each pipeline section according to a distance sequence from the monitoring point to the end point of the pipeline section, wherein the monitoring points are sequentially marked as 1,2.

In the embodiment, monitoring points are distributed on each divided pipeline section to obtain a plurality of monitoring points, and leakage monitoring omission can be avoided as the number of the monitoring points is more;

s3, constructing a monitoring point gas concentration parameter set, namely respectively installing a first gas concentration detection device and a high-definition camera at each monitoring point distributed on each pipeline section, wherein the high-definition camera is used for collecting surrounding environment images under each monitoring point, the first gas concentration detection device is used for detecting the concentration of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section in real time, the first gas concentration detection device is a first gas sensor, and the detected concentration of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section forms a monitoring point gas concentration parameter set D_w ^p(d_w ^p1,d_w ^p2,...,d_w ^pk,...,d_w ^pl)，d_w ^pk is a numerical value corresponding to the w-th gas concentration parameter of the kth monitoring point of the p-th pipeline segment, p is a pipeline segment number, p is 1,2, i.n, w is a gas concentration parameter, and w is f1, f2, f1 and f2 are respectively hydrogen sulfide concentration and carbon monoxide concentration;

according to the embodiment, the concentrations of hydrogen sulfide and carbon monoxide of each monitoring point of each pipeline section are detected in real time, and then the concentrations are compared with the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere, so that the serial numbers of the gas leakage monitoring points are counted and sent to a gas safety supervision center, and therefore relevant supervisors can know the numbers in time, the defect that the supervisors cannot know the numbers in time when the gas pipeline leaks in non-investigation time in the existing gas pipeline leakage monitoring means is overcome, and the occurrence rate of safety accidents caused by the fact that the numbers cannot be known by the supervisors is reduced;

s4, counting gas leakage pipeline sections and gas leakage monitoring points, namely comparing a gas concentration parameter set of the monitoring points with standard concentrations corresponding to hydrogen sulfide and carbon monoxide in the atmosphere stored in a safety database, if the gas concentration detected by a certain monitoring point on a certain pipeline section is not within the standard concentration corresponding to the gas in the atmosphere, marking the pipeline section as a gas leakage pipeline section, wherein the monitoring point is a gas leakage monitoring point, counting the number of the gas leakage pipeline section at the moment and marking as 1,2 The geographical position of the gas leakage monitoring point is sent to a gas safety supervision center, and relevant supervision personnel are dispatched by the gas safety supervision center to be processed in time;

in the embodiment, when the serial numbers of the gas leakage monitoring points are counted, the geographic positions corresponding to the gas leakage monitoring points are also obtained and are sent to the gas safety supervision center, so that a supervisor can conveniently find the corresponding gas leakage monitoring points as soon as possible according to the sent geographic positions, the time for finding on the road is saved, and the phenomenon that the gas is continuously leaked due to overlong finding time, and further greater safety accidents are caused is avoided;

s5, arranging diffusion monitoring points, namely, arranging gas leakage on each gas leakage pipeline sectionMonitoring points, a plurality of diffusion monitoring points are respectively arranged along one side in the direction vertical to the pipeline section, referring to figure 2, the specific layout process comprises the steps of respectively arranging diffusion monitoring points at the positions of the gas leakage monitoring points on the gas leakage pipeline sections along one side in the vertical direction of the pipeline sections according to the set spacing distance, and the arranged diffusion monitoring points are numbered according to the sequence from near to far away from the corresponding gas leakage monitoring point and are respectively marked as 1,2.. b.. y, and then second gas concentration detection equipment is respectively arranged on each diffusion monitoring point, the second gas concentration detection equipment is a second gas sensor and is used for detecting the concentrations of hydrogen sulfide and carbon monoxide corresponding to each diffusion monitoring point arranged on each gas leakage monitoring point on each gas leakage pipeline section, and further forming a diffusion monitoring point gas concentration parameter set Q with a detection result._w ^ux(q_w ^ux1,q_w ^ux2,...,q_w ^uxb,...,q_w ^uxy)，q_r ^uxb represents a numerical value corresponding to a w-th gas concentration parameter of a b-th diffusion monitoring point arranged at an x-th gas leakage monitoring point on a u-th gas leakage pipeline section, u represents a gas leakage pipeline section number, u is 1,2.. j.. m, x represents a gas leakage monitoring point number, and x is 1,2.. a.. z;

s6, calculating the diffusion area corresponding to the gas leakage monitoring points, namely sequentially extracting the concentrations of hydrogen sulfide and carbon monoxide corresponding to each diffusion monitoring point from a gas concentration parameter set of the diffusion monitoring points according to the numbering sequence of the diffusion monitoring points, comparing the concentrations with the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere stored in a safety database, stopping comparison if the concentrations of the hydrogen sulfide and the carbon monoxide corresponding to a certain diffusion monitoring point arranged on a certain gas leakage pipeline section are firstly within the standard concentrations corresponding to the hydrogen sulfide and the carbon monoxide in the atmosphere, taking the diffusion monitoring point as a diffusion termination monitoring point, calculating the numbers of the diffusion termination monitoring points corresponding to the gas leakage monitoring points on the gas leakage pipeline sections, and obtaining the distance between the diffusion termination monitoring points corresponding to the gas leakage monitoring points on the gas leakage pipeline sections and the gas leakage monitoring points,the distance is recorded as a diffusion distance, and the diffusion distances corresponding to the gas leakage monitoring points on the gas leakage pipeline sections form a gas leakage monitoring point diffusion distance set R^u(r^u1,r^u2,...,r^ua,...,r^uz)，r^ua represents the diffusion distance corresponding to the a-th gas leakage monitoring point on the u-th gas leakage pipeline section, and the diffusion area S corresponding to each gas leakage monitoring point on each gas leakage pipeline section is counted according to the diffusion distance set of the gas leakage monitoring points^ua＝π*(r^ua)²，S^ua is expressed as the diffusion area corresponding to the a-th gas leakage monitoring point on the u-th gas leakage pipeline section;

in the embodiment, the diffusion monitoring points are distributed on the gas leakage monitoring points on the gas leakage pipeline sections to be counted, and then the diffusion termination monitoring points are counted, so that the diffusion distance from each gas leakage monitoring point to the corresponding diffusion termination monitoring point is obtained, and therefore according to the characteristic that gas diffusion is annular diffusion, the diffusion area corresponding to each gas leakage monitoring point is counted, and relevant parameters of the diffusion area are provided for the later counting of the comprehensive risk coefficient of the gas pipeline;

s7, acquiring diffusion area environment images, namely comparing diffusion areas corresponding to the gas leakage monitoring points on the gas leakage pipeline sections with standard camera focal lengths corresponding to the diffusion areas in a safety database respectively, screening out the standard camera focal lengths corresponding to the gas leakage monitoring points on the gas leakage pipeline sections, further adjusting the high-definition camera focal lengths of the gas leakage monitoring points on the gas leakage pipeline sections to enable the high-definition camera focal lengths to be the same as the standard camera focal lengths corresponding to the gas leakage monitoring points, starting the high-definition cameras of the gas leakage monitoring points on the gas leakage pipeline sections to acquire the diffusion area environment images corresponding to the gas leakage monitoring points on the gas leakage pipeline sections at the moment, and acquiring the diffusion area environment images corresponding to the gas leakage monitoring points on the gas leakage pipeline sections;

in the embodiment, the focal length of the camera corresponding to the gas leakage monitoring point is adjusted according to the diffusion area corresponding to each gas leakage monitoring point on each gas leakage pipeline section, so that the environment area shot by the camera is just the diffusion area, and a foundation is provided for the analysis of personnel data in the diffusion area;

s8, analyzing the number of personnel in the diffusion area environment image, namely, performing image enhancement processing on the diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section, and analyzing the number of personnel in the diffusion area environment image after enhancement processing, wherein the specific analysis process comprises the steps of extracting the body contour of the person from the diffusion area environment image after enhancement processing, and counting the number of the body contours extracted from the diffusion area environment image corresponding to each gas leakage monitoring point on each gas leakage pipeline section, wherein the number of the extracted body contours is the number of personnel in the diffusion area environment image;

s9, constructing a leakage monitoring point leakage parameter set, namely extracting the concentration of hydrogen sulfide and carbon monoxide corresponding to each gas leakage monitoring point on each gas leakage pipeline section from the monitoring point gas concentration parameter set according to the number of the gas leakage pipeline section and the number of the corresponding gas leakage monitoring point, and further forming the concentration of hydrogen sulfide and carbon monoxide corresponding to each gas leakage monitoring point, the diffusion area and the number of personnel in the regional environment image of the diffusion area into a leakage monitoring point leakage parameter set G_x ^u(g_x ^u1,g_x ^u2,...,g_x ^ua,...,g_x ^uz)，g_x ^uz is a numerical value corresponding to the x leakage parameter of the a-th gas leakage monitoring point on the u-th gas leakage pipeline section, x is a leakage parameter, and x is e1, e2, e3, e4, e1, e2, e3 and e4 are respectively expressed as hydrogen sulfide concentration, carbon monoxide concentration, diffusion area and the number of persons in an environment image of the diffusion area region;

s10, comprehensive risk coefficient statistics, namely extracting diffusion risk coefficients corresponding to diffusion areas in the safety data and personnel risk coefficients corresponding to the number of personnel in environment images of the diffusion areas, and calculating the diffusion areas corresponding to the gas leakage monitoring points on the gas leakage pipeline sections in the leakage monitoring point leakage parameter set and the environment images of the diffusion areasThe number of middle personnel is respectively compared with the diffusion danger coefficients corresponding to the diffusion areas and the personnel danger coefficients corresponding to the number of the personnel in the environment images of the diffusion area areas, and then the diffusion danger coefficients and the personnel danger coefficients corresponding to the gas leakage monitoring points on the gas leakage pipeline sections in the leakage parameter set of the leakage monitoring points are selected, so that the comprehensive danger coefficients of the gas pipeline are countedg_e1 ^ua、g_e2 ^ua、ε^u _a、η^u _aRespectively expressed as the concentration of hydrogen sulfide, the concentration of carbon monoxide, the diffusion danger coefficient, the personnel danger coefficient and O corresponding to the alpha gas leakage monitoring point on the u gas leakage pipeline section_{e1 standard}、O_{e2 standard}Respectively expressed as standard concentrations corresponding to hydrogen sulfide and carbon monoxide in the atmosphere.

The hydrogen sulfide and the carbon monoxide concentration that correspond that the monitoring point is corresponding are revealed to the gas through according to the gas in this embodiment, the comprehensive danger coefficient of personnel's quantity statistics gas pipeline in diffusion area and the regional environmental image of diffusion area, it is big more that it synthesizes the danger coefficient, it synthesizes danger coefficient and has realized that the gas pipeline reveals the corresponding concentration of revealing of monitoring point and to the quantization display of surrounding environment influence, overcome present gas pipeline reveal that monitoring means exists can't the ration acquire reveal the not enough of the gas concentration of revealing to the surrounding environment influence, the comprehensiveness and the comprehensiveness of monitoring result have been embodied, the generalized monitoring demand that present gas pipeline revealed has been satisfied, have the characteristics that intelligent degree is high and the practicality is strong.

In a second aspect, the invention provides a cloud monitoring platform, which includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being communicatively connected with at least one gas safety monitoring device, the machine-readable storage medium is used for storing programs, instructions, or codes, such as program instructions/modules of a gas safety monitoring method in an embodiment of the invention, and the processor is used for executing the programs, instructions, or codes in the machine-readable storage medium to execute the gas safety monitoring method based on the internet of things and big data synergy.

The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.