VOCs Unorganized Leakage Alarm Traceability Method, Device, Electronic Equipment and Medium

Abstract

This application relates to the technical field of leakage source tracing, in particular to a method, device, electronic device and medium for VOCs unorganized leakage alarm source tracing. The method includes obtaining monitoring points where combined alarms occur; performing single-point source tracing on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points; determining the weight of the monitoring points based on the VOCs leakage concentration at the monitoring points; correcting the leakage probability according to the weight of the monitoring points; and determining the leakage source where VOCs leakage occurs according to the corrected leakage probability. This application can accurately trace the leakage source of the monitoring points where combined alarms occur.

Description

Technical Field

[0001] This application relates to the technical field of leakage source tracing, and in particular to a method, device, electronic device and medium for VOCs fugitive leakage alarm source tracing. Background Art

[0002] The fugitive leakage of volatile organic compounds (VOCs) in chemical industrial parks can lead to material losses, environmental pollution, and even huge casualty and damage accidents. In related technologies, distributed monitoring arranged inside the park can achieve real-time online monitoring of VOCs fugitive leakage, with high spatial and temporal resolutions, and is also a current development hotspot of VOCs monitoring technologies.

[0003] Since the direction of fugitive leakage diffusion is affected by local wind field changes and is uncertain, after a leakage occurs at a certain leakage source, it is not only one monitoring point that alarms, but it may also cause multiple nearby monitoring points to alarm. However, in related technologies, the source tracing methods of distributed online monitoring systems generally start source tracing after a single monitoring point alarms, and are not applicable to the situation of multiple monitoring points jointly alarming. Therefore, a method is needed to trace the leakage point in the case of multiple monitoring points jointly alarming. Summary of the Invention

[0004] In order to accurately trace the leakage source of the monitoring points with joint alarms, this application proposes a method, device, electronic device and medium for VOCs fugitive leakage alarm source tracing.

[0005] In the first aspect of this application, a method for VOCs fugitive leakage alarm source tracing is proposed. The method includes: obtaining the monitoring points with joint alarms; performing single-point source tracing on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points; determining the weight of the monitoring points based on the VOCs leakage concentration of the monitoring points; correcting the leakage probability according to the weight of the monitoring points; and determining the leakage source with VOCs leakage according to the corrected leakage probability.

[0006] By adopting the above technical solutions, first, single-point source tracing is performed on each of the obtained monitoring points with joint alarms to determine the potential leakage area of each monitoring point and the leakage probability of each leakage source in its potential leakage area. Then, the weight of the monitoring point is determined according to the monitored VOCs leakage concentration of the monitoring point, and the leakage probability of the leakage source is corrected based on the weight of the monitoring point to make the inversely obtained leakage probability more accurate. The leakage source in this VOCs fugitive leakage event is obtained according to the corrected leakage probability.

[0007] Further, perform single-point traceability on the monitoring point to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring point, including: obtaining the wind field data of the monitoring point, and determining the potential leakage area of the monitoring point according to the wind field data and a preset monitoring distribution scheme; determining the leakage probability of each leakage source in the potential leakage area of the monitoring point based on the distance and component principles.

[0008] Further, determine the weight of the monitoring point based on the VOCs leakage concentration of the monitoring point, including: obtaining the maximum concentration value in the concentration exceeding standard range when leakage occurs at each monitoring point in the park; taking the ratio of the maximum concentration value of the monitoring point to the sum of the maximum concentration values of all monitoring points as the weight of the monitoring point.

[0009] Furthermore, correct the leakage probability according to the weight of the monitoring point, including: obtaining the potential leakage area covering the leakage source; multiplying the weight of the monitoring point corresponding to the potential leakage area by the leakage probability of the monitoring point corresponding to the leakage source.

[0010] Furthermore, determine the leakage source where VOCs leakage occurs according to the corrected leakage probability, including: obtaining the monitoring points corresponding to each potential leakage area covering the leakage source; adding the corrected leakage probabilities of each corresponding monitoring point relative to the leakage source to obtain the probability value of the leakage source; taking the leakage source corresponding to the maximum probability value or the leakage source corresponding to the probability value exceeding the preset probability value as the leakage source where VOCs leakage occurs.

[0011] In the second aspect of the present application, a VOCs fugitive emission alarm traceability device is proposed, including: an acquisition module for acquiring the monitoring points where combined alarms occur; a single-point traceability module for performing single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points; a first determination module for determining the weight of the monitoring point based on the VOCs leakage concentration of the monitoring point; a correction module for correcting the leakage probability according to the weight of the monitoring point; a second determination module for determining the leakage source where VOCs leakage occurs according to the corrected leakage probability.

[0012] Through the VOCs fugitive emission alarm traceability device of the present application, first perform single-point traceability on each monitoring point where combined alarms are obtained, determine the potential leakage area of each monitoring point and the leakage probability of each leakage source in its potential leakage area, then determine the weight of the monitoring point according to the monitored VOCs leakage concentration of the monitoring point, correct the leakage probability of the leakage source based on the weight of the monitoring point to make the inversely obtained leakage probability more accurate, and obtain the leakage source in this VOCs fugitive emission event according to the corrected leakage probability.

[0013] Further, the single-point traceability module is specifically configured to: obtain the wind field data of the monitoring point, and determine the potential leakage area of the monitoring point according to the wind field data and a preset monitoring distribution scheme; determine the leakage probability of each leakage source in the potential leakage area of the monitoring point based on the distance and component principles.

[0014] Further, the correction module is specifically configured to: obtain the potential leakage area covering the leakage source; multiply the weight of the monitoring point corresponding to the potential leakage area by the leakage probability of the monitoring point corresponding to the leakage source.

[0015] In a third aspect of the present application, an electronic device is proposed, including a memory and a processor. A computer program is stored on the memory, and when the processor executes the program, the method described in any one of the first aspects is implemented.

[0016] In a fourth aspect of the present application, a computer-readable storage medium is further proposed, on which a computer program is stored. When the program is executed by a processor, the method described in any one of the first aspects is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Combined with the accompanying drawings and referring to the following detailed description, the above and other features, advantages and aspects of the embodiments of the present application will become more obvious. In the drawings, the same or similar reference numerals represent the same or similar elements, where:

[0018] Figure 1 The structural diagram of an electronic device according to an embodiment of the present application is shown.

[0019] Figure 2 The flowchart of the VOCs unorganized leakage traceability method according to an embodiment of the present application is shown.

[0020] Figure 3 The principle block diagram of the VOCs unorganized leakage traceability device according to an embodiment of the present application is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present application belong to the scope of protection of the present application.

[0022] The unorganized leakage of volatile organic compounds (VOCs) in chemical industrial parks can lead to material losses, environmental pollution, and even huge casualties and destruction accidents. In related technologies, distributed monitoring deployed inside the park can achieve real-time online monitoring of the unorganized leakage of VOCs, with high spatial and temporal resolutions, and is also a current development hotspot in VOCs monitoring technologies.

[0023] Since the direction of unorganized leakage diffusion is affected by local wind field changes and is uncertain, after a leakage occurs at a certain leakage source, it is not only one monitoring point that alarms, but it may also cause multiple nearby monitoring points to alarm. However, in related technologies, the tracing method of distributed online monitoring systems generally starts tracing after a single monitoring point alarms, and is not applicable to the situation of multiple monitoring points jointly alarming. Therefore, a method is needed to trace the leakage point in the case of multiple monitoring points jointly alarming.

[0024] Next, the system architecture involved in the embodiments of the present application will be introduced. It should be noted that the system architecture and business scenarios described in the embodiments of the present application are for more clearly explaining the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those of ordinary skill in the art know that with the evolution of network architectures and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

[0025] Figure 1 Shows the structural diagram of an electronic device according to an embodiment of the present application.

[0026] See Figure 1 , the electronic device 100 includes a processor 101 and a memory 103. Among them, the processor 101 and the memory 103 are connected, such as through a bus 102. Optionally, the electronic device 100 may further include a transceiver 104. It should be noted that in actual applications, the transceiver 104 is not limited to one, and the structure of the electronic device 100 does not constitute a limitation on the embodiments of the present application.

[0027] The processor 101 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of this application. The processor 101 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0028] The bus 102 may include a path for transmitting information between the above components. The bus 102 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 102 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 1 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0029] The memory 103 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory), or other type of dynamic storage device that can store information and instructions. It may also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0030] The memory 103 is used to store the application program code for executing the solution of this application, and is controlled by the processor 101 to execute. The processor 101 is used to execute the application program code stored in the memory 103 to implement the VOCs unorganized leakage traceability method.

[0031] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (tablet computers), etc., and fixed terminals such as digital TVs, desktop computers, etc. It should be noted that Figure 1 The illustrated electronic device is only an example and should not bring any restrictions to the functions and usage scope of the embodiments of this application.

[0032] Figure 2 The following is a flowchart of the VOCs unorganized leakage traceability method in the embodiments of this application. Referring to Figure 2 this, the method includes:

[0033] Step S201, obtain the monitoring points where joint alarms occur.

[0034] In the embodiments of this application, monitoring points have been preset in the park, and sensors are arranged at each monitoring point to collect the VOCs concentration in the surrounding air and send the collected VOCs concentration to the cloud in the form of a concentration time series signal.

[0035] In some embodiments of the application, obtaining the monitoring points where joint alarms occur is achieved through the following method:

[0036] Obtain the first monitoring points where alarms occur within a preset time; if the number of the first monitoring points is greater than one, then based on a preset coordinate system, determine the second monitoring points among the first monitoring points whose coordinate distances are less than a preset distance threshold; determine whether there are third monitoring points where no alarms occur among the second monitoring points; if so, then based on the dominant wind direction and the coordinate vectors of the second monitoring points in the preset coordinate system, determine whether the second monitoring points are joint alarms.

[0037] After obtaining the first monitoring points where alarms occurred within a preset time, if the number of the first monitoring points is only one, it can be confirmed that this first monitoring point is an independent alarm. If the number is greater than one, it is necessary to judge the distance between every two monitoring points among the first monitoring points. The distance judgment is completed based on a preset coordinate system. Calculate the coordinate distance between every two monitoring points among the first monitoring points, and determine the monitoring points whose coordinate distance among the first monitoring points is less than the preset distance threshold as the second monitoring points. At this time, the second monitoring points can be pre-judged as joint alarms, but the accuracy is not high at this time and further confirmation is required. Then it is necessary to judge whether there are third monitoring points where no alarms occurred between every two monitoring points of the second monitoring points. If not, it can be judged that these two monitoring points are joint alarms. If there are third monitoring points, it is necessary to judge whether the second monitoring points are joint alarms according to the prevailing wind direction and the coordinate vectors of the second monitoring points in the preset coordinate system. In this way, it can be more accurately determined whether the monitoring points where alarms occurred are joint alarms or independent alarms, so as to be able to determine the monitoring points that are joint alarms.

[0038] Step S202: Perform single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points.

[0039] In the embodiment of the present application, first, it is necessary to perform single-point traceability on the obtained monitoring points where joint alarms occurred respectively to obtain the potential leakage areas corresponding to the points of each monitoring point in the park and the leakage probabilities of the point areas in the potential leakage areas.

[0040] In some embodiments of the application, performing single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points includes: obtaining the wind field data of the monitoring points, and determining the potential leakage area of the monitoring points according to the wind field data and the preset monitoring distribution scheme; determining the leakage probability of each leakage source in the potential leakage area of the monitoring points based on the distance and component principles.

[0041] When setting monitoring points in the park, there is a preset monitoring point setting scheme, that is, the preset monitoring distribution scheme in the present application. In the scheme, the geographical locations of all monitoring points in the park are set. Then, according to the preset monitoring distribution scheme and combined with the building settings in the park, the monitorable range of the monitoring points can be determined, and then combined with the wind field data of the monitoring points, the potential leakage area of the monitoring points in the embodiment of the present application can be obtained.

[0042] Among them, obtaining the wind field data of the monitoring points includes: obtaining the atmospheric inflow data of the outdoor area within a preset time period; determining the prevailing wind direction and the prevailing wind speed of the atmospheric inflow in the outdoor area according to the atmospheric inflow data of the outdoor area within the preset time period; querying the preset wind field database according to the prevailing wind direction and the prevailing wind speed of the atmospheric inflow, so as to obtain the wind field data of the monitoring points.

[0043] Further, obtain the wind direction fluctuation angle of the outdoor regional air inflow within a preset event segment. Taking the monitoring point as the origin of the sector, the preset value as the radius of the sector, the dominant wind direction of the monitoring point as the direction of the sector center line, and the wind direction fluctuation angle as the central angle of the sector, make a sector area. Take the overlapping part of the sector area and the monitorable range obtained through the preset monitoring distribution plan as the potential leakage area of the monitoring point.

[0044] Furthermore, after determining the potential leakage area of the monitoring point, determine the leakage probability of each leakage source in the potential leakage area of the monitoring point based on the distance and component principles. Specifically, for each leakage source in the potential leakage area, determine the distance-based probability of the leakage source according to the position of the leakage source and the position of the monitoring point, determine the component-based probability of the leakage source according to the concentration information of the VOCs leakage components in the leakage source in the potential leakage area during the leakage time period, and determine the leakage probability of the leakage source according to the distance-based probability and the component-based probability of the leakage source.

[0045] Step S203: Determine the weight of the monitoring point based on the VOCs leakage concentration of the monitoring point.

[0046] In some application embodiments, determining the weight of the monitoring point based on the VOCs leakage concentration of the monitoring point includes: obtaining the maximum concentration value in the concentration exceeding range when leakage occurs at each monitoring point in the park; taking the ratio of the maximum concentration value of the monitoring point where joint alarm occurs to the sum of the maximum concentration values of all monitoring points as the weight of the monitoring point where joint alarm occurs.

[0047] Receive the concentration time series signals of all monitoring points in the park in the cloud, determine the VOCs leakage concentration exceeding range of all monitoring points during the alarm period according to the concentration time series signals, so as to determine the maximum concentration value in the concentration exceeding range when leakage occurs at each monitoring point, and take the ratio of the maximum concentration value of the monitoring point in this joint alarm event to the sum of the maximum concentration values of all monitoring points as the weight of the monitoring point where joint alarm occurs.

[0048] Step S204: Correct the leakage probability according to the weight of the monitoring point.

[0049] Specifically, obtain the potential leakage area covering the leakage source; multiply the weight of the monitoring point corresponding to the potential leakage area by the leakage probability of the monitoring point corresponding to the leakage source to complete the correction of the leakage probability of the monitoring point corresponding to the leakage source.

[0050] First, determine which leakage sources are covered by the potential leakage areas of the monitoring points involved in the current combined alarm event, and then respectively obtain in which common areas of the potential leakage areas each leakage source is located in this combined alarm event. Determine the monitoring points corresponding to the potential leakage areas, and multiply the leakage probability of the determined monitoring points corresponding to the leakage source by the weight of the monitoring points to obtain the corrected leakage probability.

[0051] Step S205: Determine the leakage source where VOCs leakage occurs according to the corrected leakage probability.

[0052] Specifically, since a leakage source may exist in the potential leakage areas of multiple monitoring points at the same time, after correcting the leakage probability of the leakage sources involved in this leakage event, determine the leakage source where VOCs leakage occurs according to the corrected leakage probability, including: obtaining the monitoring points corresponding to each potential leakage area covering the leakage source; adding the corrected leakage probabilities of each corresponding monitoring point relative to the leakage source to obtain the probability value of the leakage source; taking the leakage source corresponding to the maximum probability value or the leakage source corresponding to the probability value exceeding the preset probability value as the leakage source where VOCs leakage occurs.

[0053] In an example, for leakage source A, it is obtained that there are three potential leakage areas covering leakage source A in this combined alarm event. Respectively determine the monitoring points a, b, and c corresponding to these three potential leakage areas. Multiply the leakage probability of monitoring point a corresponding to leakage source A by the weight of monitoring point a. Similarly, multiply the leakage probabilities of monitoring points b and c corresponding to leakage source A by the weights of their respective monitoring points to complete the correction of the leakage probability of leakage source A. Then add the three corrected leakage probabilities to obtain the probability value of leakage source A in this leakage event. Through the above process, obtain the probability values of all leakage sources involved in this leakage event, and take the leakage source corresponding to the maximum probability value or the leakage source corresponding to the probability value exceeding the preset probability value as the leakage source where VOCs leakage occurs.

[0054] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present disclosure is not limited by the described action sequence, because according to the present disclosure, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present disclosure.

[0055] The above is the introduction of the method embodiments. The following further illustrates the solution of the present disclosure through device embodiments.

[0056] Figure 3The following is a schematic block diagram of the VOCs unorganized leakage traceability device in the embodiments of the present application. As Figure 3 shown, the device includes:

[0057] An acquisition module 301, configured to acquire the monitoring points where combined alarms occur.

[0058] A single-point traceability module 302, configured to perform single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points.

[0059] A first determination module 303, configured to determine the weight of the monitoring points based on the VOCs leakage concentration of the monitoring points.

[0060] A correction module 304, configured to correct the leakage probability according to the weight of the monitoring points.

[0061] A second determination module 305, configured to determine the leakage source where VOCs leakage occurs according to the corrected leakage probability.

[0062] In some embodiments of the application, the single-point traceability module is specifically configured to: acquire the wind field data of the monitoring points, and determine the potential leakage area of the monitoring points according to the wind field data and the preset monitoring distribution scheme; determine the leakage probability of each leakage source in the potential leakage area of the monitoring points based on the distance and component principles.

[0063] In some embodiments of the application, the correction module is specifically configured to: acquire the potential leakage area covering the leakage source; multiply the weight of the monitoring points corresponding to the potential leakage area by the leakage probability of the monitoring points corresponding to the leakage source.

[0064] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the described modules can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0065] The embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0066] It should be understood that although the steps in the flowchart of the accompanying drawings are shown sequentially as indicated by the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear indication in this document, there is no strict order restriction for the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0067] The above are only some embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for alarm traceability of unorganized VOCs leakage, characterized in that, Including: Obtain the monitoring points with combined alarms; Perform single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points; Determine the weight of the monitoring points based on the VOCs leakage concentration of the monitoring points; Correct the leakage probability according to the weight of the monitoring points; Determine the leakage source with VOCs leakage according to the corrected leakage probability; The obtaining of the monitoring points with combined alarms includes: Obtain the first monitoring points with alarms within a preset time; If the number of the first monitoring points is greater than one, based on a preset coordinate system, determine the second monitoring points with a coordinate distance less than a preset distance threshold among the first monitoring points; the coordinate distance is the distance between the coordinates of every two monitoring points among the first monitoring points in the preset coordinate system; Judge whether there are third monitoring points without alarms among the second monitoring points; If there are no third monitoring points, the first monitoring points and the second monitoring points are combined alarms; If there are third monitoring points, based on the dominant wind direction and the coordinate vectors of the second monitoring points in the preset coordinate system, judge whether the second monitoring points are combined alarms; Determining the weight of the monitoring points based on the VOCs leakage concentration of the monitoring points includes: Obtain the maximum concentration value in the concentration exceeding range when leakage occurs at each monitoring point in the park; Take the ratio of the maximum concentration value of the monitoring point to the sum of the maximum concentration values of all monitoring points as the weight of the monitoring point; Correcting the leakage probability according to the weight of the monitoring points includes: Obtain the potential leakage area covering the leakage source; Multiply the weight of the monitoring point corresponding to the potential leakage area by the leakage probability of the monitoring point corresponding to the leakage source; Determining the leakage source with VOCs leakage according to the corrected leakage probability includes: Obtain the monitoring points corresponding to each potential leakage area covering the leakage source; Add the corrected leakage probabilities of each corresponding monitoring point relative to the leakage source to obtain the probability value of the leakage source; Take the leakage source corresponding to the maximum probability value or the leakage source corresponding to the probability value exceeding the preset probability value as the leakage source with VOCs leakage.

2. The method for alarm traceability of unorganized VOCs leakage according to claim 1, characterized in that, Performing single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points includes: Obtain the wind field data of the monitoring points, and determine the potential leakage area of the monitoring points according to the wind field data and a preset monitoring distribution scheme; Determine the leakage probability of each leakage source in the potential leakage area of the monitoring points based on the distance and component principles.

3. A device for alarm traceability of unorganized VOCs leakage, used to implement the method according to any one of claims 1-2, characterized in that, Including: An obtaining module, configured to obtain the monitoring points with combined alarms; A single-point traceability module, configured to perform single-point traceability on the monitoring points to obtain the leakage probability of each leakage source in the potential leakage area of the monitoring points; A first determination module, configured to determine the weight of the monitoring points based on the VOCs leakage concentration of the monitoring points; A correction module, configured to correct the leakage probability according to the weight of the monitoring points; A second determination module, configured to determine the leakage source with VOCs leakage according to the corrected leakage probability; The correction module is specifically configured to: Obtain the potential leakage area covering the leakage source; Multiply the weight of the monitoring point corresponding to the potential leakage area by the leakage probability of the monitoring point corresponding to the leakage source.

4. The VOCs unorganized leakage alarm and traceability device according to claim 3, characterized in that, The single-point traceability module is specifically configured to: Obtain the wind field data of the monitoring point, and determine the potential leakage area of the monitoring point according to the wind field data and a preset monitoring distribution scheme; Determine the leakage probability of each leakage source in the potential leakage area of the monitoring point based on the distance and component principles.

5. An electronic device, comprising a memory and a processor, wherein a computer program is stored on the memory, characterized in that, When the processor executes the program, the method described in any one of claims 1 to 2 is implemented.

6. A computer-readable storage medium, on which a computer program is stored, characterized in that, When the program is executed by the processor, the method described in any one of claims 1 to 2 is implemented.

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