Method, system, electronic device and storage medium for locating a gas leak source

Abstract

The application discloses a method for positioning a gas leakage source, comprising the following steps: S110, quantifying a line concentration reconstruction technology applicable condition, the line concentration reconstruction technology applicable condition comprising a wind direction condition, a wind speed condition, an X-axis peak point distance ratio, and a peak point accuracy expressed by an X-axis peak point difference percentage; S120, determining a locatable interval section1 based on the line concentration reconstruction technology applicable condition; S130, determining a locatable interval section2 based on an acceptable positioning accuracy accuracy; and S140, continuously collecting multiple groups of data, and determining a gas leakage source (x k ,y k ) point based on a wind direction condition and an X-axis reconstructed peak point of each group of data. The application also discloses a system for positioning a gas leakage source, an electronic device, and a storage medium. The application can timely and early discover a gas leakage event based on the line concentration reconstruction technology, and the positioning speed of the gas leakage source is fast, and the stability and accuracy are high.

Description

Technical Field

[0001] This invention relates to the field of atmospheric pollution source monitoring and location technology, and in particular to a method, system, electronic device and storage medium for locating gas leak sources based on linear concentration reconstruction. Background Technology

[0002] With the accelerated construction of petrochemical industrial parks and the increasing frequency of production activities, the possibility of air pollutant leaks has greatly increased. Therefore, timely detection of gas leak sources in the early stages of an accident is crucial for emergency response and minimizing losses.

[0003] In terms of locating gas leak sources, current methods mainly consist of active olfactory methods based on mobile robots and static gas source location methods based on wireless sensor networks. For example, patent CN109540141A discloses a pollution source location method that combines a zigzag search algorithm, an evolutionary concentration gradient search algorithm, and a pollution source location mobile robot equipped with a pollutant sensor array. Patent CN104597212A discloses a method for locating gas leak sources by deploying multiple sensors in a city and combining them with an atmospheric diffusion model.

[0004] However, due to the numerous facilities, vast area, and many obstacles in petrochemical parks, implementing active olfactory methods to locate gas leak sources often faces challenges such as slow mobile robot movement, insufficient obstacle avoidance endurance, and substandard explosion-proof performance. Furthermore, due to the unique characteristics of petrochemical parks, the large number and wide distribution of potential gas leak sources make it difficult to achieve full coverage of the entire park using static gas source location methods relying on wireless sensor networks. These methods can only monitor certain key equipment online, and the accuracy of the location is closely related to the distribution of sensor points, the performance of the sensors, and their quantity.

[0005] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] One of the objectives of this invention is to provide a method, system, electronic device, and storage medium for locating gas leak sources, thereby improving the problem of accurately determining the location of gas leak sources in petrochemical industrial parks.

[0007] Another objective of this invention is to provide a method, system, electronic device, and storage medium for locating gas leak sources, thereby improving the problem of high operational difficulty in existing monitoring technologies.

[0008] Another objective of this invention is to provide a method, system, electronic device, and storage medium for locating gas leak sources, thereby improving the problem that existing monitoring technologies cannot comprehensively monitor target areas.

[0009] To achieve the above objectives, according to a first aspect of the present invention, the present invention provides a method for locating a gas leak source, comprising the following steps:

[0010] S110 quantifies the applicable conditions for linear concentration reconstruction technology, which include wind direction conditions, wind speed conditions, the distance ratio of X-axis peak points, and the peak point accuracy expressed as a percentage of the difference between X-axis peak points.

[0011] S120 determines the locatable interval section 1 based on the applicable conditions of linear concentration reconstruction technology;

[0012] S130 determines the locatable interval section 2 based on acceptable positioning accuracy; and

[0013] The S140 continuously collected multiple sets of data. Based on the wind direction conditions and the peak position reconstructed on the X-axis in each set of data, the gas leak source (x) was determined. k ,y k ) location.

[0014] Furthermore, in the above technical solution, a planar rectangular coordinate system is constructed with the optical remote sensing monitoring device / cornerstone reflector at one end of the linear concentration reconstruction technology as the origin, the direction of the cornerstone reflector / optical remote sensing monitoring device at the other end as the positive X-axis, and the upwind direction of the prevailing wind as the positive Y-axis.

[0015] Furthermore, in the above technical solution, the wind direction condition is the angle wd between the prevailing wind direction and the real-time wind direction, with the counterclockwise direction being positive.

[0016] Furthermore, in the above technical solution, the formula for calculating the distance ratio of X-axis peak points is as follows:

[0017] like The distance ratio of the peak points on the X-axis is

[0018] like The distance ratio of the peak points on the X-axis is Among them, cp x The peak position is reconstructed along the X-axis in meters, and the line is the distance between the two endpoints of the optical remote sensing monitoring equipment / corner cone light-emitting mirror in meters.

[0019] Furthermore, in the above technical solution, the formula for calculating the percentage difference of X-axis peak points (ppx) is as follows:

[0020]

[0021] Among them, tp x This represents the theoretical peak position of the gas leak source on the X-axis, in meters (m).

[0022] Furthermore, in the above technical solution, step S120 includes: based on the acceptable peak point accuracy and its corresponding applicable wind direction [wd] start ,wd stop Based on wind speed conditions and the distance ratio of peak points on the X-axis, combined with the layout of the i-th optical path in the linear concentration reconstruction technology, the locatable interval section 1 is determined. i refers to the presence of i pyramidal reflectors, with the optical remote sensing equipment host and the pyramidal reflectors forming an optical path, i.e., the i-th monitoring optical path.

[0023] Furthermore, in the above technical solution, step S130 includes:

[0024] Multiple simulated gas leak source locations (x) are randomly set within the locatable interval section 1. j ,y j );

[0025] Multiple sets of random wind directions wd j1 wd j2 Under the given conditions, calculate the location of the simulated gas leak source (x). j ,y j The theoretical peak point tp on the X-axis xj1 tp xj2 and percentage of the difference between peak points on the X-axis (pp) x The reconstructed peak point cp on the X-axis xj1 cp xj2 ;

[0026] Calculate the percentage difference between simulated gas leak source points (pp) j and positioning accuracy j ;

[0027] The accuracy of positioning each point within the locatable interval section 1 is calculated using the difference calculation. j And determine the positioning interval (section 2) with acceptable positioning accuracy.

[0028] Furthermore, in the above technical solution, the random wind direction wd j1 wd j2 Under the conditions, simulated gas leak source location (x j ,y j The theoretical peak point on the X-axis

[0029] tp xj1=(cot(wd) j1 (×π / 180)×x j +y j ) / cot(wd j1 (×π / 180),

[0030] tp xj2 =(cot(wd) j2 (×π / 180)×x j +y j ) / cot(wd j2 (×π / 180),

[0031] In the formula, wd j1 wd j2 In the interval [wd start ,wd stop ]Inside.

[0032] Furthermore, in the above technical solution, the percentage difference pp based on the peak point position difference along the X-axis is... x Reconstructed peak points on the X-axis

[0033] cp xj1 =tp xj1 +2×pp x ×line×RAND(0,1)-pp x ×line,

[0034] cp xj2 =tp xj2 +2×pp x ×line×RAND(0,1)-pp x ×line.

[0035] Furthermore, in the above technical solution, the percentage of the simulated gas leak source location difference (pp) is calculated. j for

[0036]

[0037] Where, x jc y jc These are the reconstructed peak points (cp) based on the X-axis. xj1 cp xj2 The calculated x and y coordinates of the simulated gas leak source location,

[0038]

[0039] y jc =cp xj2 ×cot(wd j2 ×π / 180)-cot(wd j2 (×π / 180)×xjc .

[0040] Furthermore, in the above technical solution, the positioning accuracy rate is...

[0041]

[0042] In the formula, fr represents the value at a specific simulated gas leak location (x). j ,y j ) Perform simulation of the percentage difference between gas leak source locations (pp) j Total number of calculations The percentage of the simulated gas leak point difference (pp) j The number of times the ...

[0043] Furthermore, in the above technical solution, step S140 includes:

[0044] S141 continuously collects h sets of data, of which m sets of data meet the applicable conditions of the locatable interval section 1, and hm sets of data do not meet the applicable conditions of the locatable interval section 1.

[0045] S142 determines whether the peak points of the X-axis reconstruction of the h group of data are located in the same interval (the same interval means the interval between two adjacent corner mirrors or between adjacent corner mirrors and the optical remote sensing monitoring equipment):

[0046] If so, proceed to step S143;

[0047] If not, proceed to step S144;

[0048] S143 Determines whether |wd exists in group h of data. kn |+|wd ko |≥|wd start |+|wd stop |, where wd kn wd ko For any two sets of wind direction angle data in group h:

[0049] If present, locate the gas leak source (x) k ,y k Located at the center of section 3, section 3 is composed of wd start wd stop And the peak point cp of X-axis reconstruction xk The region formed by the interval it is located in;

[0050] If it does not exist, then check if cp exists in the m groups of data. xkmax -cp xkmin ≥2×pp x×line, where cp xkmax cp xkmin For the m sets of data, find the maximum and minimum values ​​of the reconstructed peak points on the X-axis:

[0051] If not, locate the gas leak source (x) k ,y k It is located in the center of section 3;

[0052] If it exists, then construct the objective function using section2 as input.

[0053] Distance = (cp xkma -cp xkmax ) 2 +(cp xkmi -cp xkmin ) 2 By optimizing the algorithm, the gas leak source (x) is determined. k ,y k ) points, among which

[0054] cp xkma =(cot(wd) max (×π / 180)×x+y) / cot(wd) max (×π / 180),

[0055] cp xkmi =(cot(wd) min (×π / 180)×x+y) / cot(wd) min (×π / 180),

[0056] In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2, and wd kmax wd kmin Let m be the maximum and minimum values ​​of the wind direction angle in the m sets of data;

[0057] S144 determines whether the peak points of the X-axis reconstruction of m sets of data are located in different intervals:

[0058] If not, proceed to step S143;

[0059] If so, then based on two sets of data wd1 and cp in different intervals x1 wd2, cp x2 Construct the objective function Distance = (cp x1 -cp x_1 ) 2 +(cp x2 -cp x_2 ) 2 By optimizing the algorithm, the gas leak source (x) is determined. k ,yk ) points, among which

[0060] cp x_1 =(cot(wd1×π / 180)×x+y) / cot(wd1×π / 180),

[0061] cp x_2 =(cot(wd2×π / 180)×x+y) / cot(wd2×π / 180),

[0062] In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2.

[0063] According to a second aspect of the present invention, the present invention provides a system for locating a gas leak source, comprising: a data analysis unit for quantifying the applicable conditions of a linear concentration reconstruction technique, the applicable conditions of which include wind direction conditions, wind speed conditions, the distance ratio of X-axis peak points, and the peak point accuracy expressed as a percentage of the difference between X-axis peak points; determining a locatable interval section 1 based on the applicable conditions of the linear concentration reconstruction technique; and determining a locatable interval section 2 based on an acceptable location accuracy; and a data acquisition unit for acquiring multiple sets of data for the area to be measured, each set of data including wind direction angle wd, wind speed, and X-axis reconstructed peak point cp. x ; and a positioning unit, which is used to determine the gas leak source (x) based on the wind direction conditions of each set of data and the peak position reconstructed on the X-axis. k ,y k ) location.

[0064] Furthermore, in the above technical solution, the data acquisition unit includes: a linear concentration monitoring module, which includes: an optical remote sensing monitoring device host, which is deployed at the endpoint of the monitoring boundary; a control pan-tilt unit, which controls the optical remote sensing monitoring device host to achieve 180° horizontal rotation and pitch adjustment, thereby completing the focusing with the corner bevel mirror; and corner bevel mirrors, which are evenly distributed on the monitoring boundary and its other endpoint; a meteorological data acquisition module, which is set in the middle of the monitoring boundary and is unobstructed around it; and a ground control module, which transmits information with the linear concentration monitoring module and the meteorological data acquisition module through a wireless transmission system, acquires data collected by the optical remote sensing monitoring device host and the meteorological data acquisition module in real time, and remotely controls the operation mode of the pan-tilt unit.

[0065] According to a third aspect of the present invention, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processor to perform a method for locating a gas leak source as described in any of the above-described technical solutions.

[0066] According to a fourth aspect of the present invention, a non-transitory computer-readable storage medium is provided, the non-transitory computer-readable storage medium storing computer-executable instructions for causing the computer to perform the method for locating a gas leak source as described in any one of the above technical solutions.

[0067] Compared with the prior art, the present invention has the following beneficial effects:

[0068] 1. This invention is based on linear concentration reconstruction technology. Since linear monitoring technology has a fast monitoring speed, high sensitivity and can realize simultaneous monitoring of multiple components, it can detect gas leak events in a timely manner and improve the speed of locating gas leak sources. In addition, the concentration data collected by linear concentration monitoring technology is the optical path integrated concentration, which covers the concentration information of the entire monitoring optical path. The gas leak source location method based on this technology has higher stability and accuracy.

[0069] 2. Compared with the active olfactory method based on mobile robots, this invention avoids the difficulties in robot path planning and the high operational difficulty caused by the dense buildings and complex terrain in petrochemical industrial parks. Compared with the static gas source localization method based on wireless sensor networks, the method of locating gas leak sources in this invention can achieve full coverage of the target park, and is easy to install on site. It gets rid of the geographical limitations of wireless sensor networks and avoids the installation of large-scale sensors throughout the plant. The method of locating gas leak sources based on linear concentration reconstruction technology only requires a few monitoring optical path data to obtain rich information data, thereby achieving rapid and accurate localization of gas leak sources.

[0070] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it according to the contents of the specification, and to make the above and other objects, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with reference to the accompanying drawings. Attached Figure Description

[0071] Figure 1 This is a flowchart illustrating a method for locating a gas leak source according to an embodiment of the present invention.

[0072] Figure 2This is a schematic diagram of a system for locating a gas leak source according to an embodiment of the present invention.

[0073] Figure 3 This is a schematic diagram of the structure of the data acquisition unit according to Embodiment 1 of the present invention.

[0074] Figure 4 This is a schematic diagram of the structure of the data acquisition unit according to Embodiment 2 of the present invention.

[0075] Figure 5 This is a schematic diagram of the locatable section 1 according to Embodiment 3 of the present invention.

[0076] Figure 6 This is a schematic diagram of the hardware structure of an electronic device for performing a method for locating a gas leak source according to an embodiment of the present invention. Detailed Implementation

[0077] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings, but it should be understood that the scope of protection of the present invention is not limited to the specific embodiments.

[0078] Unless otherwise expressly stated, throughout the specification and claims, the term "comprising" or its variations such as "including" or "comprises" shall be understood to include the stated elements or components without excluding other elements or other components.

[0079] In this document, for ease of description, spatial relative terms such as “below,” “under,” “down,” “above,” “above,” “upper,” etc., are used to describe the relationship of one element or feature to another element or feature in the accompanying drawings. It should be understood that spatial relative terms are intended to encompass different orientations of an object in use or operation, in addition to those depicted in the figures. For example, if an object in the figure is flipped, an element described as “below” or “under” another element or feature would be oriented “above” that element or feature. Thus, the exemplary term “below” can encompass both the downward and upward orientations. An object may also have other orientations (rotated 90 degrees or other orientations), and the spatial relative terms used herein should be interpreted accordingly.

[0080] In this document, the terms "first," "second," etc., are used to distinguish two different elements or parts, and are not used to define specific positions or relative relationships. In other words, in some embodiments, the terms "first," "second," etc., can also be used interchangeably.

[0081] Based on linear concentration reconstruction technology, this invention determines the locatable range with acceptable positioning accuracy by obtaining the applicable conditions of linear concentration reconstruction technology. Based on the locatable range with acceptable positioning accuracy, a method for accurately locating gas leak sources by fusing linear concentration reconstruction technology with meteorological data is developed.

[0082] like Figure 1 As shown, the method for locating a gas leak source according to a specific embodiment of the present invention includes the following steps:

[0083] S110 quantifies the applicable conditions for linear concentration reconstruction technology.

[0084] Furthermore, in one or more exemplary embodiments of the present invention, the applicable conditions for the linear concentration reconstruction technology include wind direction conditions, wind speed conditions, X-axis peak point distance ratio, and peak point accuracy expressed as a percentage of the X-axis peak point difference.

[0085] Furthermore, in one or more exemplary embodiments of the present invention, a planar rectangular coordinate system is constructed with the optical remote sensing monitoring device / cornerstone reflector at one end of the linear concentration reconstruction technology as the origin, the direction of the cornerstone reflector / optical remote sensing monitoring device at the other end as the positive X-axis direction, and the prevailing wind direction as the positive Y-axis direction.

[0086] Furthermore, in one or more exemplary embodiments of the present invention, the wind direction condition is the angle wd between the prevailing wind direction and the real-time wind direction, with the counterclockwise direction being positive.

[0087] Furthermore, in one or more exemplary embodiments of the present invention, the formula for calculating the distance ratio of X-axis peak points is as follows:

[0088] like The distance ratio of the peak points on the X-axis is

[0089] like The distance ratio of the peak points on the X-axis is Among them, cp x The peak position is reconstructed along the X-axis in meters, and the line is the distance between the two endpoints of the optical remote sensing monitoring equipment / corner cone light-emitting mirror in meters.

[0090] Furthermore, in one or more exemplary embodiments of the present invention, the percentage difference of the X-axis peak points pp x The calculation formula is as follows:

[0091]

[0092] Among them, tp xThis represents the theoretical peak position of the gas leak source on the X-axis, in meters (m).

[0093] S120 determines the locatable interval section 1 based on the applicable conditions of linear concentration reconstruction technology.

[0094] Further, in one or more exemplary embodiments of the present invention, step S120 includes: based on the acceptable peak location accuracy and its corresponding applicable wind direction [wd] start ,wd stop Based on wind speed conditions and the distance ratio of peak points on the X-axis, combined with the layout of i optical paths, the locatable interval section 1 is determined. In the linear concentration reconstruction technology, i pyramidal reflectors are set up, and the integrated concentration information of the i monitoring optical paths is acquired respectively.

[0095] S130 determines the locatable interval section 2 based on acceptable positioning accuracy.

[0096] Further, in one or more exemplary embodiments of the present invention, step S130 includes:

[0097] Multiple simulated gas leak source locations (x) are randomly set within the locatable interval section 1. j ,y j );

[0098] Multiple sets of random wind directions wd j1 wd j2 Under the given conditions, calculate the location of the simulated gas leak source (x). j ,y j The theoretical peak point tp on the X-axis xj1 tp xj2 and percentage of the difference between peak points on the X-axis (pp) x The reconstructed peak point cp on the X-axis xj1 cp xj2 ;

[0099] Calculate the percentage difference between simulated gas leak source points (pp) j and positioning accuracy j ;

[0100] The accuracy of positioning each point within the locatable interval section 1 is calculated using the difference calculation. j And determine the positioning interval (section 2) with acceptable positioning accuracy.

[0101] Furthermore, in one or more exemplary embodiments of the present invention, random wind direction wd j1 wd j2Under the conditions, simulated gas leak source location (x j ,y j The theoretical peak point on the X-axis

[0102] tp xj1 =(cot(wd) j1 (×π / 180)×x j +y j ) / cot(wd j1 (×π / 180),

[0103] tp xj2 =(cot(wd) j2 (×π / 180)×x j +y j ) / cot(wd j2 (×π / 180),

[0104] In the formula, wd j1 wd j2 In the interval [wd start ,wd stop ]Inside.

[0105] Furthermore, in one or more exemplary embodiments of the present invention, based on the percentage difference of X-axis peak points pp x Reconstructed peak points on the X-axis

[0106] cp xj1 =tp xj1 +2×pp x ×line×RAND(0,1)-pp x ×line,

[0107] cp xj2 =tp xj2 +2×pp x ×line×RAND(0,1)-pp x ×line.

[0108] Furthermore, in one or more exemplary embodiments of the present invention, the percentage difference of the simulated gas leak source point pp is calculated. j for

[0109]

[0110] Where, x jc y jc These are the reconstructed peak points (cp) based on the X-axis. xj1 cp xj2 The calculated x and y coordinates of the simulated gas leak source location,

[0111]

[0112] y jc =cp xj2 ×cot(wd j2 ×π / 180)-cot(wd j2 (×π / 180)×x jc .

[0113] Furthermore, in one or more exemplary embodiments of the present invention, the positioning accuracy is...

[0114]

[0115] In the formula, fr represents the value at a specific simulated gas leak location (x). j ,y j ) Perform simulation of the percentage difference between gas leak source locations (pp) j Total number of calculations The percentage of the simulated gas leak point difference (pp) j The number of times the ...

[0116] The S140 continuously collected multiple sets of data. Based on the wind direction conditions and the peak position reconstructed on the X-axis in each set of data, the gas leak source (x) was determined. k ,y k ) location.

[0117] Further, in one or more exemplary embodiments of the present invention, step S140 includes:

[0118] S141 continuously collects h sets of data; among which m sets of data meet the applicable conditions of the locatable interval section 1, and hm sets of data do not meet the applicable conditions of the locatable interval section 1.

[0119] S142 determines whether the peak points of the X-axis reconstruction of the h group of data are located in the same interval (the same interval means the interval between two adjacent corner mirrors or between adjacent corner mirrors and the optical remote sensing monitoring equipment):

[0120] If so, proceed to step S143;

[0121] If not, proceed to step S144;

[0122] S143 Determines whether |wd exists in group h of data. kn |+|wd ko |≥|wd start |+|wd stop |, where wd kn wd ko For any two sets of wind direction angle data in group h:

[0123] If present, locate the gas leak source (x) k ,y k Located at the center of section 3, section 3 consists of wd start wd stop And the peak point cp of X-axis reconstruction xk The region formed by the interval it is located in;

[0124] If it does not exist, then check if cp exists in the m groups of data. xkmax -cp xkmin ≥2×pp x ×line, where cp xkmax cp xkmin For the m sets of data, find the maximum and minimum values ​​of the reconstructed peak points on the X-axis:

[0125] If not, locate the gas leak source (x) k ,y k It is located in the center of section 3;

[0126] If it exists, then construct the objective function using section2 as input.

[0127] Distance = (cp xkma -cp xkmax ) 2 +(cp xkmi -cp xkmin ) 2 By optimizing the algorithm, the gas leak source (x) is determined. k ,y k ) points, among which

[0128] cp xkma =(cot(wd) max (×π / 180)×x+y) / cot(wd) max (×π / 180),

[0129] cp xkmi =(cot(wd) min (×π / 180)×x+y) / cot(wd) min (×π / 180),

[0130] In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2, and wd kmax wd kmin Let m be the maximum and minimum values ​​of the wind direction angle in the m sets of data;

[0131] S144 determines whether the peak points of the X-axis reconstruction of m sets of data are located in different intervals:

[0132] If not, proceed to step S143;

[0133] If so, then based on two sets of data wd1 and cp in different intervals x1 wd2, cp x2 Construct the objective function Distance = (cp x1 -cp x_1 ) 2 +(cp x2 -cp x_2 ) 2 By optimizing the algorithm, the gas leak source (x) is determined. k ,y k ) points, among which

[0134] cp x_1 =(cot(wd1×π / 180)×x+y) / cot(wd1×π / 180),

[0135] cp x_2 =(cot(wd2×π / 180)×x+y) / cot(wd2×π / 180),

[0136] In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2.

[0137] Combination Figure 2 As shown, the system for locating a gas leak source according to a specific embodiment of the present invention includes: a data analysis unit 10, which is used to quantify the applicable conditions of linear concentration reconstruction technology, including wind direction conditions, wind speed conditions, X-axis peak point distance ratio, and peak point accuracy expressed as a percentage of the X-axis peak point difference; determining a locatable interval section 1 based on the applicable conditions of linear concentration reconstruction technology; and determining a locatable interval section 2 based on an acceptable location accuracy; and a data acquisition unit 20, which is used to acquire multiple sets of data of the area to be measured, each set of data including wind direction angle wd, wind speed, and X-axis reconstruction peak point cp. x ; and positioning unit 30, which is used to determine the gas leak source (x) based on the wind direction conditions of each set of data and the peak position reconstructed on the X-axis. k ,y k ) location.

[0138] The method, system, electronic device, and storage medium for locating gas leak sources of the present invention are described in more detail below by way of specific embodiments. It should be understood that the embodiments are merely exemplary and the present invention is not limited thereto.

[0139] Example 1

[0140] This embodiment describes the data acquisition unit 20 in the system for locating gas leak sources according to the present invention. Combined with... Figure 3 As shown, the data acquisition unit 20 includes: a linear concentration monitoring module, which includes: an optical remote sensing monitoring device host 211, which is deployed at the endpoint of the monitoring boundary; a control pan-tilt unit 212, which controls the optical remote sensing monitoring device host to achieve 180° horizontal rotation and pitch adjustment, thereby completing the focusing with the corner bevel mirror; and corner bevel mirrors 213, which are evenly distributed on the monitoring boundary and its other endpoint; a meteorological data acquisition module 22, which is set in the middle of the monitoring boundary and is unobstructed around it; and a ground control module 23, which transmits information with the linear concentration monitoring module and the meteorological data acquisition module through a wireless transmission system. It can acquire data collected by the optical remote sensing monitoring device host and the meteorological data acquisition module in real time, and can remotely control the operation mode of the pan-tilt unit.

[0141] Example 2

[0142] like Figure 4 As shown, this embodiment is a data acquisition unit in the system for locating gas leak sources according to the present invention. Target petrochemical park 200, prevailing wind direction 201.

[0143] The optical remote sensing monitoring equipment host 211, equipped with a control pan-tilt unit (not shown in the figure), is located at the downwind boundary endpoint of the target petrochemical park 200. I pyramidal reflectors 213 are evenly distributed along the downwind boundary of the park. The optical remote sensing monitoring equipment host 211 and the i pyramidal reflectors 213 are approximately aligned in a straight line and at approximately the same height. To avoid mutual obstruction between the i monitoring optical paths, the positions of the i pyramidal reflectors can be finely adjusted according to the actual situation. The control pan-tilt unit can control the optical remote sensing monitoring equipment host 211 to rotate 180° and adjust its pitch, thereby achieving focus with the pyramidal reflectors 213 and acquiring the integrated concentration information of the i monitoring optical paths. Using linear concentration reconstruction technology and the integrated concentration information of the i optical paths, the peak point of the X-axis reconstruction can be determined.

[0144] The meteorological data acquisition module 22 is located in the middle of the boundary to be monitored, at a height of about 10m, and there are no obvious obstacles nearby. The meteorological data acquisition module 22 collects data including wind direction and wind speed.

[0145] The ground control module 23 can perform the following functions through the wireless transmission system: setting the operation mode of the control pan-tilt unit, such as memorizing the position of the i-face pyramid reflector to realize the i-face pyramid reflector's sequential cyclic monitoring, setting the monitoring order of the i-face pyramid reflector, setting the dwell time on the i-face pyramid reflector, setting the data acquisition cycle of the optical remote sensing monitoring equipment and the meteorological data acquisition module, etc. Generally, the dwell time can be set to be consistent with the data acquisition cycle. In addition, the ground control module 23 can also acquire the optical path integration concentration data, meteorological monitoring data, and distance data between the pyramid reflector and the optical remote sensing monitoring equipment collected by each module.

[0146] Example 3

[0147] This embodiment is used to illustrate steps S110 to S130 in the method for locating the gas leak source of the present invention.

[0148] S110 quantifies the applicable conditions for linear concentration reconstruction technology.

[0149] In this embodiment, the linear concentration reconstruction technology is applicable when the distance ratio between peak points on the X-axis is greater than 10%, and the wind speed should not be less than 1.0 m / s. start ,wd stop ] = [-45°, 45°], at which point the percentage difference between the peak points on the X-axis does not exceed 6%.

[0150] S120 determines the locatable interval section 1 based on the applicable conditions of linear concentration reconstruction technology.

[0151] In this embodiment, line = 60, so the interval section 1 can be located as follows: Figure 5 As shown, the grid area is section 1.

[0152] S130 determines the locatable interval section 2 based on acceptable positioning accuracy.

[0153] Multiple simulated gas leak source locations (x) are randomly set within the locatable interval section 1. j ,y j Examples include (30,7), (30,15), (30,30), (30,45), (30,60), (40,7), (50,7), (40,30), (50,30), (40,45), (50,45), etc.

[0154] Table 1 shows some of the randomly selected locations of multiple simulated gas leak sources (x j ,y j The positioning accuracy.

[0155] Table 1. Locations of multiple simulated gas leak sources (xj y j Positioning accuracy

[0156]

[0157] In this embodiment, cp is removed. xj Accuracy is defined as the positioning accuracy after considering data within the same interval. j .

[0158] The accuracy of positioning each point within the locatable interval section 1 is calculated using the difference calculation. j If the acceptable positioning accuracy is set to 80%, then the positioning interval section2 is obtained.

[0159] Example 4

[0160] This embodiment illustrates step S140 in the method for locating a gas leak source according to the present invention.

[0161] H sets of data were continuously collected, of which m sets of data met the applicable conditions of the locatable interval section 1, while hm sets of data did not meet the applicable conditions of the locatable interval section 1. In this embodiment, the peak points of the X-axis reconstruction of the h sets of data are located in the same interval.

[0162] In this embodiment, line = 60, i = 6 (the data acquisition unit has i pyramidal reflectors, and the value of i is determined by the selected linear density reconstruction technology), and section 3 is defined by wd. start wd stop And the peak point cp of X-axis reconstruction xk The region formed by the interval in which it is located.

[0163] Using the simulated leak source location (30,15), wd kmax = -7.5°, wd kmin Taking -26.5° as an example, other conditions (such as applicable conditions, section 1, section 2, etc.) are completely consistent with the above embodiment 3.

[0164] cp xkmax cp xkmin They are respectively in wd kmax = -7.5°, wd kmin Under the condition of -26.5°, based on the percentage difference of the peak points on the X-axis (pp) x(<6%) Random values ​​in the interval (20, 30). Since the percentage difference of the X-axis peak points is less than 6%, the reconstructed peak points are calculated based on the percentage difference of the X-axis peak points. That is, as the percentage difference of the X-axis peak points changes, the reconstructed peak points also change. xkmax cp xkmin This is achieved by generating multiple random numbers with a probability of less than 6%, thereby generating reconstructed peak points, and finally determining the maximum and minimum values ​​of these reconstructed peak points. (x) k ,y k ( is based on cp) xkmax cp xkmin wd kmax wd kmin The leak source location was determined by the optimization algorithm, pp k This represents the percentage difference between the two leakage source locations, as shown in Table 2.

[0165] Table 2

[0166]

[0167]

[0168] If pp k If the accuracy rate is less than 15%, then the location accuracy rate is 80%.

[0169] Example 5

[0170] This embodiment illustrates step S140 in the method for locating a gas leak source according to the present invention.

[0171] h sets of data were continuously collected, of which m sets of data met the applicable conditions of the locatable interval section 1, while hm sets of data did not meet the applicable conditions of the locatable interval section 1. The peak points of the X-axis reconstruction of h sets of data were located in different intervals (with adjacent corner mirrors or corner mirrors and the optical remote sensing monitoring equipment host as one interval).

[0172] Determine whether the peak points of the X-axis reconstruction of m sets of data are located in different intervals:

[0173] If not, then refer to Example 4;

[0174] If so, then based on two sets of data wd1 and cp in different intervals x1 wd2, cp x2 Construct the objective function Distance = (cp x1 -cp x_1 ) 2 +(cp x2 -cp x_2 ) 2By optimizing the algorithm, the gas leak source (x) is determined. k ,y k ) points, among which

[0175] cp x_1 =(cot(wd1×π / 180)×x+y) / cot(wd1×π / 180),

[0176] cp x_2 =(cot(wd2×π / 180)×x+y) / cot(wd2×π / 180),

[0177] In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2.

[0178] Example 6

[0179] This embodiment provides a non-transitory (non-volatile) computer storage medium that stores computer-executable instructions that can execute the methods in any of the above method embodiments and achieve the same technical effect.

[0180] Example 7

[0181] This embodiment provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, which, when executed by a computer, cause the computer to perform the methods described above and achieve the same technical effects.

[0182] Example 8

[0183] Figure 6 This is a schematic diagram of the hardware structure of the electronic device for executing the method of locating a gas leak source according to this embodiment. The device includes one or more processors 610 and a memory 620. Taking one processor 610 as an example, the device may also include an input device 630 and an output device 640.

[0184] The processor 610, memory 620, input device 630, and output device 640 can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0185] The memory 620, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device by running the non-transitory software programs, instructions, and modules stored in the memory 620, thereby implementing the processing method of the above-described method embodiments.

[0186] The memory 620 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; the data storage area may store data, etc. Furthermore, the memory 620 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 620 may optionally include memory remotely located relative to the processor 610, and these remote memories may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0187] Input device 630 can receive input digital or character information and generate signal input. Output device 640 may include display devices such as a display screen.

[0188] One or more modules are stored in memory 620 and, when executed by one or more processors 610, execute:

[0189] S110 quantifies the applicable conditions for linear concentration reconstruction technology, which include wind direction conditions, wind speed conditions, the distance ratio of X-axis peak points, and the peak point accuracy expressed as a percentage of the difference between X-axis peak points.

[0190] S120 determines the locatable interval section 1 based on the applicable conditions of linear concentration reconstruction technology;

[0191] S130 determines the locatable interval section 2 based on acceptable positioning accuracy; and

[0192] The S140 continuously collected multiple sets of data. Based on the wind direction conditions and the peak position reconstructed on the X-axis in each set of data, the gas leak source (x) was determined. k ,y k ) location.

[0193] The above-described product can execute the methods provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the methods. Technical details not described in detail in this embodiment can be found in the methods provided in other embodiments of the present invention.

[0194] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0195] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general-purpose hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0196] The foregoing description of specific exemplary embodiments of the present invention is for illustrative and explanatory purposes. These descriptions are not intended to limit the invention to the precise forms disclosed, and it will be apparent that many changes and variations can be made in accordance with the foregoing teachings. The exemplary embodiments were chosen and described in order to explain the specific principles of the invention and its practical application, thereby enabling those skilled in the art to implement and utilize various different exemplary embodiments of the invention, as well as various different choices and variations. Any simple modifications, equivalent changes, and alterations made to the foregoing exemplary embodiments should fall within the scope of protection of the present invention.

Claims

1. A method for locating a gas leak source, characterized in that, Includes the following steps: S110 quantifies the applicable conditions for linear concentration reconstruction technology, which include wind direction conditions, wind speed conditions, the distance ratio of X-axis peak points, and the peak point accuracy expressed as a percentage of the difference between X-axis peak points. Using the optical remote sensing monitoring device / cornerstone reflector at one end of the linear concentration reconstruction technology as the origin, the direction of the cornerstone reflector / optical remote sensing monitoring device at the other end as the positive X-axis, and the upwind direction of the prevailing wind as the positive Y-axis, a plane rectangular coordinate system is constructed. The formula for calculating the distance ratio of peak points on the X-axis is as follows: like Then the distance ratio of the peak points on the X-axis is ; like Then the distance ratio of the peak points on the X-axis is , in, Reconstruct the peak point on the X-axis, in meters. The distance between the two optical remote sensing monitoring devices / pyramidal light-emitting mirrors at the two endpoints is expressed in meters (m). X-axis peak point difference percentage The calculation formula is as follows: ， in, This represents the theoretical peak location of the gas leak source on the X-axis, in meters (m). S120 determines the locatable interval section 1 based on the applicable conditions of linear concentration reconstruction technology; S130 determines the locatable interval section 2 based on acceptable positioning accuracy; and The S140 continuously collected multiple sets of data. Based on the wind direction conditions and the peak position reconstructed on the X-axis in each set of data, the gas leak source (x) was determined. k ,y k ) location.

2. The method for locating a gas leak source according to claim 1, characterized in that, Wind direction condition is the angle between the prevailing wind direction and the real-time wind direction. The counter-clockwise direction is considered positive.

3. The method for locating a gas leak source according to claim 1, characterized in that, Step S120 includes: Based on acceptable peak point accuracy and its corresponding applicable wind direction Based on wind speed conditions and the distance ratio of peak points on the X-axis, combined with the layout of the i-th optical path in the linear concentration reconstruction technology, the locatable interval section 1 is determined.

4. The method for locating a gas leak source according to claim 3, characterized in that, Step S130 includes: Multiple simulated gas leak source locations (x) are randomly set within the locatable interval section 1. j ,y j ); Multiple sets of random wind directions , Under the given conditions, calculate the location of the simulated gas leak source (x). j ,y j The theoretical peak point on the X-axis , and percentage difference based on X-axis peak points Reconstructed peak points on the X-axis , ; Calculate the percentage of the simulated gas leak source location difference. and positioning accuracy j ; The accuracy of positioning each point within the locatable interval section 1 is calculated using the difference calculation. j And determine the positioning interval (section 2) with acceptable positioning accuracy.

5. The method for locating a gas leak source according to claim 4, characterized in that, random wind direction , Under the conditions, simulated gas leak source location (x j ,y j The theoretical peak point on the X-axis ， ， In the formula, , In the interval Inside.

6. The method for locating a gas leak source according to claim 5, characterized in that, Based on the percentage difference of peak points on the X-axis Reconstructed peak points on the X-axis ， 。 7. The method for locating a gas leak source according to claim 6, characterized in that, Calculate the percentage of the simulated gas leak source location difference. for ， in, , These are the reconstructed peak points based on the X-axis. , The calculated x and y coordinates of the simulated gas leak source location, ， 。 8. The method for locating a gas leak source according to claim 7, characterized in that, Positioning accuracy rate ， In the formula, To target a specific simulated gas leak source location (x) j ,y j ) Perform a simulation of the percentage difference between gas leak source locations. Total number of calculations The percentage of the simulated gas leak source point difference. The number of times the ...

9. The method for locating a gas leak source according to claim 8, characterized in that, Step S140 includes: S141 continuously collects h sets of data; among which m sets of data meet the applicable conditions of the locatable interval section 1, and hm sets of data do not meet the applicable conditions of the locatable interval section 1. S142 determines whether the reconstructed peak points of the X-axis data in group h are located in the same interval: If so, proceed to step S143; If not, proceed to step S144; S143 Determine if the h group of data exists. ,in , For any two sets of wind direction angle data in group h: If present, locate the gas leak source (x) k ,y k Located at the center of section 3, section 3 consists of , and the peak point of X-axis reconstruction The region formed within the interval; If it does not exist, then check if it exists in the m sets of data. ,in , For the m sets of data, find the maximum and minimum values ​​of the reconstructed peak points on the X-axis: If not, locate the gas leak source (x) k ,y k It is located in the center of section 3; If it exists, then construct the objective function using section2 as input. By optimizing the algorithm, the gas leak source (x) is determined. k ,y k ) points, among which ， ， In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2. , Let m be the maximum and minimum values ​​of the wind direction angle in the m sets of data; S144 determines whether the peak points of the X-axis reconstruction of m sets of data are located in different intervals: If not, proceed to step S143; If so, then based on two sets of data from different intervals. , , , Construct the objective function By optimizing the algorithm, the gas leak source (x) is determined. k ,y k ) points, among which ， ， In the formula, x and y are the x-coordinate and y-coordinate of any point in section 2.

10. A system for locating a gas leak source, characterized in that, The method described in any one of claims 1 to 9 includes: The data analysis unit is used to quantify the applicable conditions of the linear concentration reconstruction technology, which include wind direction, wind speed, the distance ratio of peak points on the X-axis, and the accuracy of peak points expressed as a percentage of the difference between peak points on the X-axis. Based on the applicable conditions of the linear concentration reconstruction technology, the locatable interval (section 1) is determined; based on the acceptable positioning accuracy, the locatable interval (section 2) is determined. The data acquisition unit is used to collect multiple sets of data from the area to be measured, including wind direction and angle. Wind speed, X-axis reconstructed peak point ;as well as The positioning unit is used to determine the gas leak source (x) based on the wind direction conditions of each set of data and the peak position reconstructed on the X-axis. k ,y k ) location.

11. The system for locating a gas leak source according to claim 10, characterized in that, The data acquisition unit includes: A linear concentration monitoring module, comprising: The main unit of the optical remote sensing monitoring equipment is deployed at the endpoints of the monitoring boundary; The control unit controls the main unit of the optical remote sensing monitoring equipment to achieve 180° horizontal rotation and pitch adjustment, thereby completing the focusing with the pyramidal reflector; and A pyramidal reflector, evenly distributed along the monitoring boundary and its other endpoint; A meteorological data acquisition module is positioned at the center of the monitoring boundary, with no obstructions around it; and The ground control module transmits information to the linear concentration monitoring module and the meteorological data acquisition module via a wireless transmission system. It acquires data from the optical remote sensing monitoring equipment host and the meteorological data acquisition module in real time, and remotely controls the operation of the pan-tilt unit.

12. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to cause the at least one processor to perform the method for locating a gas leak source as described in any one of claims 1 to 9.

13. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer-executable instructions for causing the computer to perform the method for locating a gas leak source as described in any one of claims 1 to 9.

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