A gas detection, analysis and early warning method and system

Through distributed gas sensing equipment and twin monitoring space technology, real-time monitoring and diffusion simulation of harmful gases are achieved, and the diffusion and diffusion problems of harmful gases caused by the overall gas circulation method in the existing technology are solved, and effective control and risk reduction of gas leakage is achieved.

CN120009484BActive Publication Date: 2025-06-24SHENZHEN EXSAF ELECTRONICS CO LTD
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Patent Information

Application Number
CN202510506449.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-22
Publication Date
2025-06-24
Estimated Expiration
2045-04-22

AI Technical Summary

Technical Problem

In the prior art, when dealing with harmful gas leakage, the overall gas circulation method will lead to further diffusion and dispersion of harmful gases, endangering the safety of operators.

Method used

Multi-point gas monitoring data is obtained through distributed gas sensing equipment, a twin monitoring space is established for data mapping and cleaning, gas diffusion simulation is performed based on interval updated data, gas processing and circulation range is generated, and cross-risk judgment is conducted based on personnel distribution information, and risk warnings and feedback are generated.

Benefits of technology

Real-time monitoring and diffusion simulation of harmful gases are realized, and gas leakage can be judged in a timely manner, and risk gases are recovered and harmlessly treated through local airflow circulation control to prevent harmful gases from spreading to the outside world and reduce risks to workers.

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Abstract

The present invention discloses a gas detection, analysis and early warning method and system, which is applicable to high-risk indoor environments that require strict gas safety management. Through global gas monitoring and diffusion simulation monitoring of the internal environment, it can timely judge the leakage situation of risk gases, and perform local air flow circulation control within a selected range according to the diffusion state, so as to recover and harmlessly treat the risk gases, effectively avoid the diffusion of harmful gases to the outside world. At the same time, different from the overall air flow circulation method, it can effectively avoid the diffuse diffusion of harmful gases caused by the overall air flow circulation and filling the entire space, reduce the risk to internal staff, and avoid the diffuse diffusion of harmful gases. It can also achieve maintenance without shutting down the machine, minimizing the impact of harmful gas leakage on the production line.
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Description

Technical Field

[0001] The present invention relates to the field of gas detection and early warning, and specifically to a gas detection, analysis and early warning method and system. Background Art

[0002] In some production and experimental scenarios, due to the high toxicity of the gases generated or used during the process, the direct emission of these toxic and harmful gases will cause safety impacts on the organisms in the external environment. Therefore, strict gas control is required. Usually, isolation measures are adopted to make the space airtight to prevent the leakage of harmful gases into the external natural ecosystem.

[0003] In the prior art, in order to deal with the leakage of harmful gases in the internal environment and ensure the safety of internal personnel, the overall indoor gas circulation method is usually adopted to filter the harmful gases contained. However, the drawback of this method is that when harmful gases diffuse, the indoor gas circulation method will cause the diffused harmful gases to further accelerate the diffusion, and even disperse and fill the entire room, which is obviously very dangerous for the operating personnel in actual situations. Summary of the Invention

[0004] The purpose of the present invention is to provide a gas detection, analysis and early warning method to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A gas detection, analysis and early warning method, comprising:

[0007] Obtain the spatial scan data of the monitoring area, clean the spatial scan data, and match a preset scale to establish a twin monitoring space, where the scale is used to balance the occupancy of available computing power by the data volume;

[0008] Obtain gas monitoring data at multiple points through several gas sensing devices arranged in a distributed manner, and map the gas monitoring data in the twin monitoring space based on the point information. The gas monitoring data is used to characterize the gas type, gas concentration and gas flow rate at the current point;

[0009] Perform gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the gas diffusion distribution, where the diffusion distribution is used to characterize the diffusion area of the target gas before the next interval update and the concentration state at different positions in the area;

[0010] Obtain the position distribution of several gas treatment circulation ports to generate multiple groups of gas treatment circulation ranges, and perform cross-risk judgment based on the personnel distribution information and the target gas to generate a risk warning and feedback.

[0011] As a further solution of the present invention: The step of obtaining the position distribution of several gas treatment circulation ports to generate multiple sets of gas treatment circulation ranges, performing cross-risk judgment based on personnel distribution information and the target gas, generating a risk warning and feedback specifically includes:

[0012] Obtain the position distribution of several gas treatment circulation ports and map them in the twin monitoring space, assign values to multiple gas treatment circulation ports so that they can control the air flow state, and the air flow state control includes air flow engulfment, air flow output, and equipment shutdown;

[0013] Based on the twin monitoring space, perform a connection occlusion judgment on multiple gas treatment circulation ports. If there is no structural partition between a pair of gas treatment circulation ports, a corresponding circulation group is generated, and each circulation group corresponds to a circulation range, and the circulation range is used to represent the air flow concentration area when a pair of gas treatment circulation ports in the circulation group work;

[0014] Obtain multiple sets of circulation groups covering the target gas diffusion area, judge the overlapping area between the circulation ranges of multiple circulation groups and the area represented by the personnel distribution information, and select the combination of circulation groups with the lowest overlapping area to establish a risk treatment plan;

[0015] Generate and output a risk warning corresponding to the overlapping area and the risk level of the target gas, and the risk warning is used to represent the risk gas type, the risk coverage area, and the safety impact range.

[0016] As a still further solution of the present invention: It further includes the steps of:

[0017] Obtain the pipeline structure distribution in the monitoring area and the gas accommodation information corresponding to the pipelines, and perform information synchronization in the twin monitoring space;

[0018] Draw concentration contour lines of the target gas through multiple sets of the gas monitoring data, screen the leakage area according to the concentration contour lines, and perform pipeline screening according to the gas type of the target gas to initially locate the risk source range and the risk pipeline object.

[0019] As a still further solution of the present invention: In the step of performing gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the gas diffusion distribution, the gas diffusion process follows the CFD fluid simulation model, and specifically includes the steps of:

[0020] Build an environmental model of the CFD fluid simulation model based on the spatial structure of the twin monitoring space, and the structural edge of the environmental model is used to generate the boundary of the simulation space;

[0021] Divide a fitting grid within the twin monitoring space, and when a leakage occurs, increase the fitting grid density of the diffusion area;

[0022] Perform assignment based on gas monitoring data, set the boundary conditions of the environmental model, and conduct gas diffusion simulation through the turbulence model. The boundary conditions are used to characterize the roughness of the edge of the environmental model structure and the wind speed profile of the model.

[0023] As a further solution of the present invention: It further includes the steps of:

[0024] Perform interval grouping based on the spatial distribution of gas sensing devices to obtain two sets of gas sensing device collections;

[0025] Initialize multiple gas sensing devices within the same gas sensing device collection at a preset calibration time interval, and synchronize and correct the time axes of several gas sensing devices;

[0026] Control multiple gas sensing devices to perform a gas monitoring once, obtain their data feedback, calculate the time interval of the data feedback and set it as the delay constant of the current sensing device.

[0027] The embodiment of the present invention aims to provide a gas detection, analysis and early warning system, including:

[0028] A spatial modeling module, which is used to obtain the spatial scan data of the monitoring area, clean the data of the spatial scan data, and establish a twin monitoring space by matching a preset scale. The scale is used to balance the occupation of available computing power by the data volume;

[0029] A monitoring synchronization module, which is used to obtain gas monitoring data at multiple points through several gas sensing devices arranged in a distributed manner, and map the gas monitoring data in the twin monitoring space based on the point information. The gas monitoring data is used to characterize the gas type, gas concentration and gas flow rate at the current point;

[0030] A diffusion fitting module, which is used to perform gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the gas diffusion distribution. The gas diffusion distribution is used to characterize the diffusion area of the target gas before the next interval update and the concentration state at different positions in the area;

[0031] An early warning feedback module, which is used to obtain the position distribution of several gas treatment circulation ports to generate the circulation ranges of multiple groups of gas treatments, and perform cross-risk judgment based on the personnel distribution information and the target gas to generate and feedback a risk warning.

[0032] As a further solution of the present invention: The early warning feedback module includes:

[0033] A cyclic mapping unit for obtaining the position distribution of several gas treatment cyclic ports and mapping them in the twin monitoring space, assigning values to multiple gas treatment cyclic ports so that they can perform air flow state control, where the air flow state control includes air flow engulfment, air flow output, and equipment shutdown;

[0034] A processing evaluation unit for judging the connection occlusion of multiple gas treatment cyclic ports based on the twin monitoring space. If there is no structural partition between a pair of gas treatment cyclic ports, a cyclic group is correspondingly generated, and each cyclic group corresponds to a circulation range, and the circulation range is used to characterize the air flow concentrated flow area when a pair of gas treatment cyclic ports in the cyclic group work correspondingly;

[0035] A scheme optimization unit for obtaining multiple groups of cyclic groups covering the target gas diffusion area, judging the overlapping area between the circulation ranges of multiple cyclic groups and the area characterized by the personnel distribution information, and selecting the combination of cyclic groups with the lowest overlapping area to establish a risk treatment scheme;

[0036] A warning feedback unit for correspondingly generating a risk warning based on the overlapping area and the risk level of the target gas and outputting it, where the risk warning is used to characterize the risk gas type, the risk coverage area, and the safety impact range.

[0037] As a further scheme of the present invention: it further includes a traceability limitation module:

[0038] A pipeline synchronization unit for obtaining the pipeline structure distribution in the monitoring area and the gas accommodation information corresponding to the pipeline, and performing information synchronization in the twin monitoring space;

[0039] A pipeline limitation unit for delimiting the concentration contour line of the target gas through multiple groups of the gas monitoring data, screening the leakage area according to the concentration contour line, and screening the pipeline according to the gas type of the target gas to initially locate the risk source range and the risk pipeline object.

[0040] As a further scheme of the present invention: in the diffusion fitting module, the gas diffusion process follows the CFD fluid simulation model, specifically including:

[0041] A model building unit for building an environmental model of the CFD fluid simulation model based on the spatial structure of the twin monitoring space, where the structural edge of the environmental model is used to generate a simulation space boundary;

[0042] An accuracy limitation unit for dividing fitting grids in the twin monitoring space and increasing the fitting grid density of the diffusion area when leakage occurs;

[0043] A diffusion fitting unit is used to assign values based on gas monitoring data, set the boundary conditions of the environmental model, and perform gas diffusion simulation through the turbulence model. The boundary conditions are used to characterize the roughness of the edge of the environmental model structure and the wind speed profile of the model.

[0044] As a further solution of the present invention: it further includes a delay optimization module, specifically including:

[0045] A group division unit is used to perform interval grouping based on the spatial distribution of gas sensing devices to obtain two sets of gas sensing device collections;

[0046] An initialization unit is used to initialize multiple gas sensing devices within the same set of gas sensing devices at a preset calibration time interval, and synchronously correct the time axes of several gas sensing devices;

[0047] A delay optimization unit is used to control multiple gas sensing devices to perform a gas monitoring, obtain their data feedback, calculate the time interval of the data feedback and set it as the delay constant of the current sensing device.

[0048] Compared with the prior art, the beneficial effects of the present invention are: it is applicable to high-risk indoor environments that require strict gas safety management. Through global gas monitoring and diffusion simulation monitoring of the internal environment, it can timely judge the leakage situation of risk gases, and perform local air flow circulation control within a selected range according to the diffusion state, so as to recover and harmlessly treat the risk gases, effectively avoiding the diffusion of harmful gases to the outside. At the same time, different from the overall air flow circulation method, it can effectively avoid the diffusive diffusion of harmful gases caused by the overall air flow circulation and filling the entire space, reducing the risk to internal staff, and avoiding the diffusive diffusion of harmful gases can also achieve maintenance without shutdown, minimizing the impact of harmful gas leakage on the production line. Description of the Drawings

[0049] Figure 1 It is a flow chart of a gas detection, analysis and early warning method.

[0050] Figure 2 It is a flow chart of the delay correction step in a gas detection, analysis and early warning method.

[0051] Figure 3 It is a block diagram of the composition of a gas detection, analysis and early warning system. Detailed Embodiments

[0052] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further elaborates on the present invention in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The following will describe in detail the specific implementation manners of the present invention in combination with specific embodiments.

[0054] As Figure 1 described, a gas detection, analysis and early warning method provided by an embodiment of the present invention includes the following steps:

[0055] S10. Obtain spatial scan data of a monitoring area, clean the spatial scan data, and establish a twin monitoring space by matching a preset scale, where the scale is used to balance the occupation of available computing power by the data volume;

[0056] S20. Obtain gas monitoring data at multiple points through several gas sensing devices arranged in a distributed manner, and map the gas monitoring data in the twin monitoring space based on the point information. The gas monitoring data is used to characterize the gas type, gas concentration and gas flow rate at the current point;

[0057] S30. Perform gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the gas diffusion distribution, where the diffusion distribution is used to characterize the diffusion area of the target gas before the next interval update and the concentration state at different positions in the area;

[0058] S40. Obtain the position distribution of several gas treatment circulation ports to generate multiple groups of gas treatment circulation ranges, perform cross-risk judgment based on the personnel distribution information and the target gas, generate a risk warning and feedback.

[0059] In this embodiment, a gas detection, analysis and early warning method is provided, which is applicable to high-risk indoor environments that require strict gas safety management. Through the global gas monitoring and diffusion simulation monitoring of the internal environment, it can timely judge the leakage of risk gases, and control the local air flow circulation within a selected range according to the diffusion state, so as to recover and harmlessly treat the risk gases, effectively avoid the diffusion of harmful gases to the outside world. At the same time, different from the overall air flow circulation method, it can effectively avoid the diffuse diffusion of harmful gases caused by the overall air flow circulation and filling the entire space, reduce the risk to internal staff, and avoid the diffuse diffusion of harmful gases. It can also achieve maintenance without shutting down the machine, minimizing the impact of harmful gas leakage on the production line. Specifically, in some production and experimental scenarios, due to the high toxicity of the gases generated or used in the process, the direct emission of these toxic and harmful gases will affect the safety of organisms in the external environment. Therefore, strict gas control is required. Usually, isolation measures are adopted to make the space airtight to prevent the entry into the external natural ecosystem when harmful gases leak. When gases leak in the internal environment, they also need to be treated in time to avoid harm to relevant operators. In the prior art, in order to ensure the gas safety inside the environment, the overall indoor gas circulation method is usually adopted to filter the harmful gases contained. However, the drawback of this method is that when harmful gases diffuse, the indoor gas circulation method will cause the diffused harmful gases to further accelerate diffusion, even diffuse and fill the entire room, which is obviously very dangerous for operators in practice. Therefore, under normal conditions, the stability of the indoor air flow is the best state to reduce risk diffusion. The solution of this embodiment adopts the execution method of stable indoor air flow under normal conditions, sets distributed gas monitoring devices for real-time monitoring (which can be in various forms of sensing devices such as laser sensors), and conducts diffusion simulation of gases through the twin simulation method. For example, when a leak occurs at point A, due to the stable state of the indoor gas, the leaked gas will stably diffuse downward and in all directions under the action of pressure and gravity, which will enable corresponding gas monitoring records (including gas type concentration and flow direction, etc.) to be obtained by measuring at multiple distribution points such as a1, a2, a3, etc. around. Then, based on these data, mapping and fitting can be carried out in the twin monitoring space. Because of the environmental stability, the diffusion range of harmful gases (i.e., target gases) can be conveniently and accurately fitted, so as to select the corresponding treatment circulation port to execute the local air flow circulation task, and carry out the recovery treatment of harmful gases with the minimum change of indoor air flow. At the same time, risk judgment and early warning are carried out according to the overlap between the range covered by the local air flow circulation and the area of indoor staff, so as to achieve the purpose of treating harmful gases with the minimum impact.

[0060] As another preferred embodiment of the present invention, the steps of obtaining the position distribution of several gas treatment circulation ports to generate multiple sets of gas treatment circulation ranges, making a cross-risk judgment based on personnel distribution information and the target gas, generating a risk warning and feedback specifically include:

[0061] Obtain the position distribution of several gas treatment circulation ports and map them in the twin monitoring space, assign values to multiple gas treatment circulation ports so that they can control the airflow state, and the airflow state control includes airflow engulfment, airflow output, and equipment shutdown;

[0062] Based on the twin monitoring space, perform a connection occlusion judgment on multiple gas treatment circulation ports. If there is no structural partition between a pair of gas treatment circulation ports, a corresponding circulation group is generated, and each circulation group corresponds to a circulation range, and the circulation range is used to represent the airflow concentrated flow area when a pair of gas treatment circulation ports in the circulation group work correspondingly;

[0063] Obtain multiple sets of circulation groups covering the diffusion area of the target gas, judge the overlapping area between the circulation ranges of multiple circulation groups and the area represented by the personnel distribution information, and select the combination of circulation groups with the lowest overlapping area to establish a risk treatment plan;

[0064] Generate and output a risk warning corresponding to the overlapping area and the risk level of the target gas, and the risk warning is used to represent the risk gas type, risk coverage area, and safety impact range.

[0065] In this embodiment, a more detailed process description of the steps of circulation treatment and risk warning is given. Among them, the gas treatment circulation ports are distributed at the boundary of the indoor area and are small ventilation ports. Therefore, when a pair of gas treatment circulation ports that can be directly connected relatively on a straight line operate in the states of airflow engulfment and airflow output respectively, an approximately cylindrical airflow space will be formed between them (non-standard state, which will disturb the gas in a certain range around it to a certain extent, that is, this cylindrical space is in an expanding state and can be approximately regarded as a wind tunnel model). Therefore, after determining the diffusion range, multiple pairs of gas treatment circulation ports can be selected as a group to cover the diffusion range for the treatment of harmful gases. Due to the randomness of the combination, multiple sets of solutions can be generated simultaneously (it should be noted that each set of multiple pairs of gas treatment circulation ports here is selected according to the minimum included angle standard of parallel or multi-point converging into one point, and the airflow direction of the cylindrical airflow space will not be different or cross before approaching the gas treatment circulation port). Cross-judge the airflow coverage area of multiple solutions and the distribution area of the operating personnel to determine the size and position of the overlapping area, and then generate a risk warning to timely inform the existence of the risk.

[0066] As another preferred embodiment of the present invention, it further includes the steps:

[0067] Obtain the pipeline structure distribution in the monitoring area and the gas accommodation information corresponding to the pipelines, and synchronize the information in the twin monitoring space;

[0068] Draw concentration contour lines of the target gas through multiple groups of the gas monitoring data, screen the leakage area according to the concentration contour lines, and screen the pipelines according to the gas type of the target gas to initially locate the range of the risk source and the risk pipeline object.

[0069] In this embodiment, the introduction and synchronization process of the pipeline distribution information related to production is supplemented. By synchronizing the pipeline distribution and the gas information in the pipeline in the twin monitoring space, when a leakage occurs, the leakage point can be quickly located according to the detected point information, concentration information and gas type (here, the positioning refers to determining a relatively small range interval and possible pipeline objects). Furthermore, higher fitting accuracy for subsequent diffusion simulation can be provided according to the range and height information of the leakage point, and it is also convenient for relevant personnel to conduct rapid screening and maintenance after the early warning is issued.

[0070] As another preferred embodiment of the present invention, in the step of performing gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the diffusion distribution of the gas, the gas diffusion process follows the CFD fluid simulation model, which specifically includes the steps of:

[0071] Build an environmental model of the CFD fluid simulation model based on the spatial structure of the twin monitoring space, and the structural edge of the environmental model is used to generate the boundary of the simulation space;

[0072] Divide fitting grids in the twin monitoring space, and increase the fitting grid density of the diffusion area when a leakage occurs;

[0073] Perform assignment based on the gas monitoring data, set the boundary conditions of the environmental model, and perform gas diffusion simulation through the turbulence model. The boundary conditions are used to characterize the roughness of the structural edge of the environmental model and the wind speed profile of the model.

[0074] In this embodiment, since the solution of this embodiment is implemented based on a steady internal environment, the diffusion mode of the air flow is the basic fluid diffusion mode. Therefore, it can be conveniently and accurately predicted through a fluid diffusion simulation model. For the fluid diffusion simulation model, including but not limited to the Gaussian diffusion model, CFD fluid simulation model, and Lagrangian particle model, etc. In this embodiment, the usage scenario is a complex indoor scenario where various pipeline and wall structures may exist, and there is a certain requirement for accuracy. Therefore, the CFD fluid simulation model is selected. The influencing factors during the simulation process include the distribution of obstacles in the space and information such as temperature and humidity gradients. Therefore, before the simulation, quantitative processing is required to improve the simulation model.

[0075] As Figure 2 shown, as another preferred embodiment of the present invention, it further includes the steps:

[0076] S51, perform interval grouping based on the spatial distribution of gas sensing devices to obtain two sets of gas sensing device collections;

[0077] S52, initialize the devices of multiple gas sensing devices within the same gas sensing device collection at a preset calibration time interval, and synchronize and correct the time axes of several gas sensing devices;

[0078] S53, control multiple gas sensing devices to perform a gas monitoring once, obtain their data feedback, calculate the time interval of the data feedback and set it as the delay constant of the current sensing device.

[0079] In this embodiment, the optimization step of the delay constant of the gas sensing device is supplemented. During the use of the gas sensing device, due to the error of the timer, it will cause the error of the time node; and the change of the detection efficiency will cause the change error of the detection time used. These errors will ultimately lead to the reduction of the simulation fitting accuracy, affecting the timeliness of the corresponding solution and the accuracy of early warning. Therefore, it is necessary to perform time calibration and correction of the detection time delay amount after a certain time period. The reason for dividing the sensing devices into two groups here is that when the correction and optimization are carried out, if a leak occurs, there can still be available sensing devices for timely response.

[0080] As Figure 3 shown, the present invention also provides a gas detection, analysis and early warning system, which includes:

[0081] A space modeling module 100, which is used to obtain the spatial scan data of the monitoring area, clean the spatial scan data, and match a preset scale to establish a twin monitoring space. The scale is used to balance the occupation of available computing power by the data volume;

[0082] The monitoring synchronization module 200 is used to obtain gas monitoring data at multiple points through several gas sensing devices arranged in a distributed manner, and map the gas monitoring data in the twin monitoring space based on the point information. The gas monitoring data is used to characterize the gas type, gas concentration, and gas flow rate at the current point.

[0083] The diffusion fitting module 300 is used to perform gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the gas diffusion distribution, which is used to characterize the diffusion region of the target gas before the next interval update and the concentration state at different positions in the region.

[0084] The warning feedback module 400 is used to obtain the position distribution of several gas treatment cycle ports to generate multiple groups of gas treatment circulation ranges, perform cross-risk judgment based on the personnel distribution information and the target gas, generate a risk warning, and give feedback.

[0085] As another preferred embodiment of the present invention, the warning feedback module includes:

[0086] The cycle mapping unit is used to obtain the position distribution of several gas treatment cycle ports and map them in the twin monitoring space, assign values to multiple gas treatment cycle ports so that they can control the air flow state, and the air flow state control includes air flow engulfment, air flow output, and equipment shutdown.

[0087] The processing evaluation unit is used to judge the connection occlusion of multiple gas treatment cycle ports based on the twin monitoring space. If there is no structural partition between a pair of gas treatment cycle ports, a cycle group is correspondingly generated, and each cycle group corresponds to a circulation range, and the circulation range is used to characterize the air flow concentrated flow region when a pair of gas treatment cycle ports in the cycle group work correspondingly.

[0088] The scheme optimization unit is used to obtain multiple groups of cycle groups covering the diffusion region of the target gas, judge the overlapping area between the circulation ranges of multiple cycle groups and the area characterized by the personnel distribution information, and select the combination of cycle groups with the lowest overlapping area to establish a risk treatment scheme.

[0089] The warning feedback unit is used to correspondingly generate a risk warning and output it based on the overlapping area and the risk level of the target gas. The risk warning is used to characterize the risk gas type, risk coverage area, and safety impact range.

[0090] As another preferred embodiment of the present invention, it further includes a traceability limitation module:

[0091] The pipeline synchronization unit is used to obtain the pipeline structure distribution in the monitoring area and the gas accommodation information corresponding to the pipeline, and perform information synchronization in the twin monitoring space.

[0092] A pipeline constriction limiting unit is used to delimit the concentration contour lines of the target gas through multiple sets of the gas monitoring data, screen the leakage area according to the concentration contour lines, and conduct pipeline screening according to the gas type of the target gas, so as to initially locate the range of the risk source and the risk pipeline object.

[0093] As another preferred embodiment of the present invention, in the diffusion fitting module, the gas diffusion process follows the CFD fluid simulation model, specifically including:

[0094] A model building unit is used to build an environmental model of the CFD fluid simulation model based on the spatial structure of the twin monitoring space, and the structural edge of the environmental model is used to generate a simulated space boundary;

[0095] An accuracy limiting unit is used to divide fitting grids in the twin monitoring space, and when leakage occurs, increase the fitting grid density of the diffusion area;

[0096] A diffusion fitting unit is used to assign values based on the gas monitoring data, set the boundary conditions of the environmental model, and conduct gas diffusion simulation through the turbulence model. The boundary conditions are used to characterize the roughness of the structural edge of the environmental model and the wind speed profile of the model.

[0097] As another preferred embodiment of the present invention, it further includes a delay optimization module, specifically including:

[0098] A group division unit is used to conduct interval grouping based on the spatial distribution of the gas sensing devices to obtain two sets of gas sensing device collections;

[0099] An initialization unit is used to initialize multiple gas sensing devices within the same gas sensing device collection at a preset calibration time interval, and synchronously correct the time axes of several gas sensing devices;

[0100] A delay optimization unit is used to control multiple gas sensing devices to perform a gas monitoring, obtain their data feedback, calculate the time interval of the data feedback and set it as the delay constant of the current sensing device.

[0101] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0102] After considering the specification and the disclosure of the embodiments, those skilled in the art will readily conceive of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

[0103] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A gas detection analysis and early warning method, characterized in that: Include: Acquire spatial scanning data of the monitoring area, clean the spatial scanning data, and establish a twin monitoring space by matching the preset scale, where the scale is used to balance the amount of data with the available computing power. The gas monitoring data of multiple points are obtained through a plurality of gas sensing devices arranged in a distributed manner, and the gas monitoring data are mapped in the twin monitoring space based on the point information. The gas monitoring data is used to characterize the gas type, gas concentration and gas flow rate of the current point; Performing a gas diffusion simulation based on the interval-updated gas monitoring data to obtain a gas diffusion distribution, wherein the diffusion distribution is used to characterize a diffusion area of ​​the target gas and a concentration state at different locations in the area before the next interval update; Obtain the location distribution of several gas processing circulation ports to generate multiple groups of gas processing flow ranges, make cross-risk judgments based on personnel distribution information and target gases, generate risk warnings and provide feedback; The steps of obtaining the position distribution of several gas processing circulation ports to generate multiple groups of gas processing flow ranges, making cross-risk judgments based on personnel distribution information and target gases, and generating risk warnings and feedback specifically include: Obtaining the position distribution of several gas processing circulation ports and mapping them in the twin monitoring space, assigning values ​​to the multiple gas processing circulation ports so that they can perform airflow state control, wherein the airflow state control includes airflow engulfment, airflow output, and device shutdown; Based on the twin monitoring space, multiple gas processing circulation ports are connected and blocked. If there is no structural partition between a pair of gas processing circulation ports, a circulation group is generated accordingly. Each circulation group corresponds to a flow range, and the flow range is used to characterize the concentrated flow area of ​​the gas flow when a pair of gas processing circulation ports in the circulation group are working. Acquire multiple groups of circulation groups covering the target gas diffusion area, determine the overlapping areas between the circulation ranges of the multiple circulation groups and the personnel distribution information representation area, and select the circulation group combination with the lowest overlapping area to establish a risk treatment plan; A risk warning is generated and outputted based on the overlapping area and the risk level of the target gas. The risk warning is used to characterize the risk gas type, risk coverage area and safety impact range.

2. A gas detection analysis and early warning method according to claim 1, characterized in that: Also includes the steps: Obtaining the pipeline structure distribution in the monitoring area and the gas holding information corresponding to the pipeline, and synchronizing the information in the twin monitoring space; The concentration contours of the target gas are delineated by using multiple groups of the gas monitoring data, the leakage area is screened according to the concentration contours, and the pipelines are screened according to the gas type of the target gas to preliminarily locate the risk source range and risk pipeline objects.

3. A gas detection analysis and early warning method according to claim 1, characterized in that: In the step of performing gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the diffusion distribution of the gas, the gas diffusion process obeys the CFD fluid simulation model, which specifically includes the steps of: An environmental model of a CFD fluid simulation model is constructed based on the spatial structure of the twin monitoring space, wherein the structural edge of the environmental model is used to generate a simulation space boundary; Dividing a fitting grid in the twin monitoring space, and when a leak occurs, increasing the fitting grid density in the diffusion area; Based on the gas monitoring data, the boundary conditions of the environmental model are assigned, and the gas diffusion simulation is performed through the turbulence model. The boundary conditions are used to characterize the roughness of the edge of the environmental model structure and the wind speed profile of the model.

4. A gas detection analysis and early warning method according to claim 1, characterized in that: Also includes the steps: Perform interval grouping based on the spatial distribution of the gas sensing devices to obtain two sets of gas sensing devices; Initialize multiple gas sensing devices in the same gas sensing device set at a preset calibration time interval, and synchronise the time axes of the multiple gas sensing devices; Control multiple gas sensing devices to perform a gas monitoring, obtain data feedback, calculate the time interval of the data feedback and set it as the delay constant of the current sensing device.

5. A gas detection analysis and early warning system, characterized in that: Include: The spatial modeling module is used to obtain the spatial scanning data of the monitoring area, clean the spatial scanning data, and establish a twin monitoring space by matching the preset scale, where the scale is used to balance the data volume with the available computing power. A monitoring synchronization module is used to obtain gas monitoring data of multiple points through a plurality of distributed gas sensing devices, and map the gas monitoring data in the twin monitoring space based on the point information, wherein the gas monitoring data is used to characterize the gas type, gas concentration and gas flow rate of the current point; A diffusion fitting module, used for performing gas diffusion simulation based on the gas monitoring data updated at intervals to obtain the diffusion distribution of the gas, wherein the diffusion distribution is used to characterize the diffusion area of ​​the target gas and the concentration state at different positions in the area before the next interval update; The early warning feedback module is used to obtain the location distribution of several gas processing circulation ports to generate multiple groups of gas processing circulation ranges, make cross-risk judgments based on personnel distribution information and target gases, generate risk warnings and feedback; The early warning feedback module includes: A circulation mapping unit, used to obtain the position distribution of multiple gas processing circulation ports and map them in the twin monitoring space, assign values ​​to multiple gas processing circulation ports so that they can perform airflow state control, wherein the airflow state control includes airflow engulfment, airflow output, and device shutdown; A processing and evaluation unit is used to judge the connection occlusion of multiple gas processing circulation ports based on the twin monitoring space. If there is no structural partition between a pair of gas processing circulation ports, a circulation group is generated accordingly. Each of the circulation groups corresponds to a flow range, and the flow range is used to characterize the concentrated flow area of ​​the gas flow when a pair of gas processing circulation ports in the circulation group are working; A scheme optimization unit is used to obtain multiple groups of circulation groups covering the target gas diffusion area, and determine the overlapping area between the circulation ranges of multiple circulation groups and the personnel distribution information representation area, and select the circulation group combination with the lowest overlapping area to establish a risk treatment plan; The warning feedback unit is used to generate and output a risk warning based on the overlapping area and the risk level of the target gas. The risk warning is used to characterize the risk gas type, risk coverage area and safety impact range.

6. A gas detection analysis and early warning system according to claim 5, characterized in that: It also includes traceability reduction module: A pipeline synchronization unit, used to obtain the pipeline structure distribution in the monitoring area and the gas holding information corresponding to the pipeline, and synchronize the information in the twin monitoring space; The pipeline reduction unit is used to define the concentration contour of the target gas through multiple groups of gas monitoring data, screen the leakage area according to the concentration contour, and screen the pipeline according to the gas type of the target gas to preliminarily locate the risk source range and risk pipeline object.

7. A gas detection analysis and early warning system according to claim 5, characterized in that: In the diffusion fitting module, the gas diffusion process obeys the CFD fluid simulation model, which specifically includes: A model building unit, used for building an environmental model of a CFD fluid simulation model based on the spatial structure of the twin monitoring space, wherein the structural edge of the environmental model is used to generate a simulation space boundary; An accuracy limiting unit, used to divide the fitting grid in the twin monitoring space, and when a leak occurs, increase the fitting grid density of the diffusion area; The diffusion fitting unit is used to assign values ​​based on gas monitoring data, set the boundary conditions of the environmental model, and simulate gas diffusion through a turbulence model. The boundary conditions are used to characterize the roughness of the edge of the environmental model structure and the wind speed profile of the model.

8. A gas detection analysis and early warning system according to claim 5, characterized in that: It also includes a delay optimization module, including: A grouping unit, used for performing interval grouping based on the spatial distribution of the gas sensing devices to obtain two sets of gas sensing devices; An initialization unit, used to initialize multiple gas sensing devices in the same gas sensing device set at a preset calibration time interval, and to synchronize and correct the time axes of the multiple gas sensing devices; The delay optimization unit is used to control multiple gas sensing devices to perform a gas monitoring and obtain their data feedback, calculate the time interval of the data feedback and set it as the delay constant of the current sensing device.

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