Gas leakage abnormal data monitoring and early warning system based on sensor

Abstract

The invention belongs to the technical field of gas leakage abnormal data monitoring, and particularly discloses and provides a gas leakage abnormal data monitoring and early warning system based on a sensor, which comprises the steps of predicting the distribution range of gas in a space by identifying diffusion forms corresponding to ball type diffusion and feather type diffusion of leaked gas; the promotion coefficient of the diffusion form of the leaked gas to the reaction behavior is analyzed in a targeted manner according to the diffusion form; according to the method, a gas leakage related area is delineated, physical and personal composition and personnel composition in the gas leakage related area are identified, and then a diffusion behavior corresponding reaction influence coefficient is analyzed; by identifying the comprehensive abnormal threat coefficient corresponding to the adjacent area of the position of the gas leakage point, whether the leakage factor of the adjacent area is from the fault of the leakage point or caused by the spreading of the gas in the air is determined, so that the early warning level of the position of the gas leakage point and the adjacent area is determined, and the timeliness and effectiveness of emergency response are ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of abnormal data monitoring of gas leakage, and relates to a sensor-based abnormal data monitoring and early warning system for gas leakage. Background Art

[0002] With the acceleration of urbanization, gas, as an important energy supply method, is widely used in various fields such as residents' lives, industrial production and commercial activities. However, gas leakage accidents occur from time to time, which not only causes huge property losses, but also poses a serious threat to people's lives and safety. Gas leakage may cause serious consequences such as poisoning and explosion. Its rapid spread and difficult to detect characteristics make accident prevention and emergency response a major challenge. In order to achieve real-time and accurate monitoring of gas leaks and issue early warning signals in time, the gas leakage abnormal data monitoring and early warning system came into being.

[0003] In the prior art, there are some solutions related to gas leakage data monitoring, for example, the invention patent application for gas leakage data monitoring method, system, intelligent terminal and storage medium with Chinese patent number 202110458539.1, which reduces the need to directly cut off the switch to prevent gas leakage by feeding back warning information with similar warning times and basic information to the administrator; according to the comparison time periods divided by the administrator, the average number of warnings in each time period is calculated and a historical curve is generated, so as to perform a horizontal comparison of the warning information of a certain user, which is convenient for the administrator to observe whether the gas leakage situation of each user has been improved.

[0004] Although the above scheme proposes some solutions related to gas leakage data monitoring, it still has the following limitations: 1. The specific distribution pattern of the gas leakage location is not identified, which makes the early warning alarm information of the gas leakage point location unclear and cannot provide targeted solutions for subsequent emergency response measures.

[0005] 2. The leakage situation in the adjacent areas corresponding to the gas leakage area was not taken into consideration. When analyzing whether it was necessary to issue an early warning alarm in the adjacent areas of the gas leakage location, it was not determined whether the early warning cause of the adjacent areas of the gas leakage point was the leakage itself or the diffusion of the leaked gas in the air, which made the early warning alarm information of the adjacent areas unclear, and it was impossible to distinguish the alarm level of the adjacent areas of the gas leakage point. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a gas leakage abnormal data monitoring and early warning system based on a sensor is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a sensor-based gas leakage abnormal data monitoring and early warning system, including: an environmental condition monitoring module: used to extract the location of the gas leakage point through a particulate matter sensor, and detect the meteorological environmental conditions of the leakage point through a meteorological sensor.

[0008] Gas diffusion behavior analysis module: used to obtain the type of leaked gas and its leakage per unit time through the particle sensor installed at the gas leakage point, identify the diffusion form of the leaked gas, and analyze the promotion coefficient μ of the diffusion form of the leaked gas on the reaction behavior.

[0009] Gas reaction behavior analysis module: used to obtain the area involved in the gas leakage, identify the composition of objects and personnel in the area involved in the gas leakage, and then analyze the corresponding reaction influence coefficient of the diffusion behavior.

[0010] Abnormal threat degree analysis module: used to identify the comprehensive abnormal threat coefficient of the gas leakage point by combining the promotion coefficient of the diffusion form of the leaked gas on the reaction behavior and the reaction influence coefficient corresponding to the diffusion behavior.

[0011] Warning level gradual adjustment module: used to obtain the adjacent area of ​​the gas leakage point location and determine the warning level of the gas leakage point location and its adjacent area.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By identifying the corresponding diffusion patterns of the cluster diffusion and feather diffusion of the leaked gas, the present invention can more accurately predict the distribution range of the gas in space, thereby specifically analyzing the promotion coefficient of the diffusion pattern of the leaked gas on the reaction behavior according to the diffusion pattern, which is helpful to formulate more targeted emergency response and rescue action plans.

[0013] (2) The present invention can determine which people and objects may be directly affected by delineating the area involved in the gas leak and identifying the composition of objects and personnel in the area involved in the gas leak, and then analyze the diffusion behavior corresponding to the reaction influence coefficient, providing a scientific basis for subsequent emergency response and risk assessment.

[0014] (3) The present invention identifies the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point, and clarifies whether the leakage factor in the adjacent area is caused by the failure of the leakage point itself or the spread of gas in the air, which helps to take different response measures and then determine the warning level of the gas leakage point and its adjacent area. According to the distribution of dangerous areas and the severity of risks, rescue forces, materials and equipment are reasonably allocated to ensure the timeliness and effectiveness of emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 This is a schematic diagram of the connection of the system modules of the present invention.

[0017] Figure 2 It is a flow image schematic diagram when the diffusion form of the leaked gas in the present invention is cluster diffusion.

[0018] Figure 3 This is a flow image display diagram when the diffusion form of the leaked gas in the present invention is feather diffusion.

[0019] Figure markings: 1. Central air mass, 2. Edge air mass, 3. Gas leakage point, 4. Edge air mass boundary point location. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a sensor-based gas leakage abnormal data monitoring and early warning system, which includes: an environmental condition monitoring module, a gas diffusion behavior analysis module, a gas reaction behavior analysis module, an abnormal threat level analysis module, and an early warning level gradual adjustment module.

[0022] The environmental condition monitoring module is connected to the gas diffusion behavior analysis module, the gas diffusion behavior analysis module is connected to the gas reaction behavior analysis module, the gas reaction behavior analysis module is connected to the abnormal threat level analysis module, and the abnormal threat level analysis module is connected to the early warning level gradual adjustment module.

[0023] The environmental condition monitoring module is used to extract the location of the gas leakage point through the particle sensor and detect the meteorological environmental conditions at the leakage point through the meteorological sensor.

[0024] The meteorological environmental conditions include wind direction angle, wind speed, temperature and air pressure.

[0025] In a preferred embodiment, the method for extracting the gas leakage point location is specifically: drawing a particle matter sensor location distribution map in the building area, obtaining the abnormal gas detection value of each particle matter sensor, comparing it with the preset gas safety value, screening out the particle matter sensors whose abnormal gas detection values ​​exceed the preset gas safety value, and recording their distribution positions as the gas leakage point locations.

[0026] The gas diffusion behavior analysis module is used to obtain the type of leaked gas and its leakage per unit time through the particle sensor installed at the gas leakage point, identify the diffusion form of the leaked gas, and analyze the promotion coefficient μ of the diffusion form of the leaked gas on the reaction behavior.

[0027] See also Figure 2 , Figure 3 As shown, in a preferred embodiment, the diffusion forms of the leaked gas include cluster diffusion and feather diffusion, which are specifically obtained by: obtaining the flow image of the leaked gas in the air at the gas leakage point through an infrared gas leak detector, applying computer vision and image processing algorithms to automatically extract the bright area in the flow image, and observing the distribution position of the bright area of ​​the leaked gas in the flow image.

[0028] When the distribution position of the bright area appears as obvious bright or dark clumps, the diffusion pattern of the leaked gas is identified as cluster diffusion; when the distribution position of the bright area shows one or more bright or dark stripes radiating from the center to the outside, the diffusion pattern of the leaked gas is identified as feather diffusion.

[0029] In a further preferred embodiment, the analysis of the promotion coefficient of the diffusion form of the leaked gas on the reaction behavior includes: extracting the diffusion form of the leaked gas, when the diffusion form of the leaked gas is cluster diffusion, extracting the color coordinate values ​​of the central air mass and the edge air mass corresponding to the bright area in the flow image, matching them with the gas flow concentrations corresponding to the preset color coordinate values, determining the gas flow concentrations of the central air mass and the edge air mass in the bright area, denoted as C1 and C2 respectively, and identifying the aggregation coefficient of the leaked gas. C0 represents the gas flow concentration corresponding to the preset base reference value.

[0030] When the diffusion pattern of the leaked gas is feather diffusion, the path contour of the bright area is extracted, and several brightness points are evenly positioned on the path contour. The color coordinate value of each brightness point is extracted and matched with the gas flow concentration corresponding to the preset color coordinate value to determine the gas flow concentration of each brightness point, and the diffusion coefficient D of the gas flow concentration changing with time is analyzed.

[0031] The path contour of the bright area refers to the contour line between the gas leakage point position and the edge air mass boundary point position.

[0032] The specific method of analyzing the diffusion coefficient of the gas flow concentration changing with time is: setting each time node, according to the gas flow concentration acquisition method of each brightness point, obtaining the gas flow concentration C of each brightness point at each time node jt , analyze the diffusion coefficient of gas flow concentration changing with time Among them C j ( t+1 ) represents the gas flow concentration of the j-th brightness point at the t+1-th time node, ΔC represents the reference value of the gas flow concentration change between two preset time nodes, j represents the number of the brightness point, j=1,2,...,b, b represents the number of brightness points, t represents the number of the time node, t=1,2,...,w, w represents the number of time nodes.

[0033] Analyze the promotion coefficient of the diffusion form of leaked gas on the reaction behavior Where A1 and A2 represent the diffusion forms of the leaked gas as swarm diffusion and feather diffusion, respectively; α1 and α2 represent the preset reaction promotion weights when the diffusion forms are swarm diffusion and feather diffusion, respectively.

[0034] The present invention obtains the flow image of the leaked gas in the air at the location of the gas leak point, identifies the distribution position of the bright area of ​​the leaked gas, and then distinguishes the diffusion form corresponding to the cluster diffusion or feather diffusion of the leaked gas. It can more accurately predict the distribution range of the gas in space, and thus determine the promotion coefficient of the diffusion form of the leaked gas to the reaction behavior by analyzing the agglomeration coefficient of the leaked gas belonging to the cluster diffusion and the diffusion coefficient of the gas flow concentration belonging to the feather diffusion over time, which is helpful to formulate more targeted emergency response and rescue action plans. For example, set up a cordon in the area with high gas concentration to prohibit people from entering; set up monitoring points in the upstream area of ​​the wind direction to monitor the changes in gas concentration in real time; use explosion-proof equipment for rescue, etc.

[0035] The gas reaction behavior analysis module is used to obtain the area involved in the gas leakage, identify the composition of objects and personnel in the area involved in the gas leakage, and then analyze the diffusion behavior corresponding to the reaction influence coefficient.

[0036] In a preferred embodiment, the area involved in the gas leakage is obtained by extracting a preset leakage threshold, obtaining its corresponding ratio to the leakage per unit time at the gas leakage point, and obtaining the diffusion time t′ of the leaked gas at the gas leakage point to reach the preset leakage threshold.

[0037] The wind direction angle and wind speed υ at the gas leakage point are extracted from the meteorological environment conditions, and the leakage per unit time at the gas leakage point is recorded as Q, and the diffusion area per unit time of the leaked gas at the gas leakage point is evaluated. Where Q′ and υ′ represent the preset reference leakage per unit time and reference wind speed respectively, and s0 is the diffusion area corresponding to the preset unit leakage influence coefficient.

[0038] The wind direction angle refers to the angle between the path profile of the bright area and the ground horizontal line.

[0039] Determine the flow area S′=S*t′ at the gas leakage point within the diffusion time, and circle the area to which the flow area at the gas leakage point in the wind direction belongs as the gas leakage involved area.

[0040] In a further preferred embodiment, the analysis of diffusion behavior corresponding to the reaction influence coefficient includes: extracting the spatial contour structure of the area involved in the gas leak, identifying the composition of objects and personnel in the area involved in the gas leak, and analyzing the reaction risk considerations of objects in the area involved in the gas leak based on the composition of objects in the area involved in the gas leak (Safety) art .

[0041] The material composition includes various ignition sources and types of building materials; the personnel composition includes the number of personnel and the positions of personnel.

[0042] Extract the positions of each person and the distance L between them and the gas leakage point from the spatial contour structure of the gas leakage area r , and identify the behavior of each person, including dynamic behavior and static behavior. r represents the number of the person, r = 1, 2, ..., l.

[0043] The method for identifying the behavior of each person is: obtaining the position of each person at any two intervals belonging to the set monitoring period corresponding to the gas leak. If the position of a person changes between these two intervals, the behavior of the person is recorded as a dynamic behavior, otherwise it is recorded as a static behavior, and the behavior of each person is identified accordingly.

[0044] Match the leaked gas type at the gas leak point with the preset hazard factors of each gas type to personnel, obtain the hazard factor of the leaked gas at the gas leak point to personnel, and count the number of personnel N in the area involved in the gas leak to evaluate the risk considerations of personnel in the area involved in the gas leak Wherein Q′ represents the preset reference leakage volume per unit time, and L′ represents the reference distance between the preset personnel position and the gas leakage point position.

[0045] Analyze the diffusion behavior corresponding to the reaction influence coefficient Wherein y and z are set constants, such as y=2, z=3.

[0046] In a further preferred embodiment, the identification of the risk of reaction of objects in the gas leakage area also includes: extracting the temperature T and pressure P of the gas leakage point from the meteorological environment conditions, obtaining the various ignition sources on the gas leakage path from the spatial contour structure of the involved area, such as electrical equipment, open flames, flammable chemicals (solvents, paints), etc., and obtaining the preset explosion temperature T of each ignition source. k And preset explosion pressure P k , analyze the explosion tendency factors of each ignition source k represents the number of the ignition source, k = 1, 2, ..., h.

[0047] From the spatial contour structure of the gas leakage area, identify the contact mode between each ignition source and the leaking gas, including direct contact and interval contact, and extract the contact distance L between each ignition source and the leaking gas k , evaluate the ignition source explosion coefficient of the gas leak area B1 indicates that each ignition source is in direct contact with the leaked gas, B2 indicates that each ignition source is not in direct contact with the leaked gas, and L0 indicates a preset reference contact distance.

[0048] The intermittent contact refers to the presence of a protective cover on the ignition source, such as electrical equipment installed with insulating glue and flammable chemicals equipped with a packaging shell; direct contact refers to the absence of a protective cover on the ignition source.

[0049] Obtain the building material type in the area involved in the gas leakage, match it with the preset reaction sensitivity between each building material type and the leaking gas type, obtain the reaction sensitivity G between the building material and the leaking gas in the area involved in the gas leakage, set the corresponding monitoring period τ for the gas leakage, determine the building material erosion iteration value f=G*g*τ in the area involved in the gas leakage, where g is the preset building material type corresponding to the unit time sensitivity gain, and then analyze the material reaction risk considerations in the area involved in the gas leakage

[0050]

[0051] The present invention can determine which personnel and objects may be directly affected by delineating the area involved in the gas leak and identifying the composition of objects and personnel in the area involved in the gas leak, and then evaluate the risk considerations of personnel in the area involved in the gas leak by detecting the distribution positions of personnel in the area involved in the gas leak. At the same time, by detecting the iterative function of the explosion coefficient of the ignition source in the area involved in the gas leak and the erosion of building materials over time, the risk considerations of the reaction of objects in the area involved in the gas leak are evaluated, and then the diffusion behavior corresponding to the reaction influence coefficient is analyzed, providing a scientific basis for subsequent emergency treatment and risk assessment. For example, in areas with high gas concentration, ventilation, water spraying and dilution measures can be taken to reduce the gas concentration; in areas where ignition sources may exist, fire prevention and explosion prevention measures need to be strengthened.

[0052] The abnormal threat degree analysis module is used to identify the comprehensive abnormal threat coefficient of the gas leakage point by combining the promotion coefficient of the diffusion form of the leaked gas on the reaction behavior and the reaction influence coefficient corresponding to the diffusion behavior.

[0053] In a preferred embodiment, the comprehensive abnormal threat coefficient of the gas leakage point is analyzed, and the specific formula is: Where β is the corresponding reduction multiple of the preset abnormal threat coefficient.

[0054] The present invention evaluates the potential threat of gas leakage by combining the promotion coefficient of the diffusion form of the leaked gas on the reaction behavior and the influence coefficient of the diffusion behavior corresponding to the reaction to obtain a comprehensive abnormal threat coefficient of the gas leakage point. The higher this coefficient is, the greater the danger and urgency of the leakage incident.

[0055] The warning level gradual adjustment module is used to obtain the adjacent area of ​​the gas leakage point location and determine the warning level of the gas leakage point location and its adjacent area.

[0056] In a preferred embodiment, the neighboring area of ​​the gas leakage point location is obtained by obtaining the neighboring particle sensor position of the particle sensor corresponding to the gas leakage point location, and marking the fixed area area of ​​the neighboring particle sensor position in the wind direction angle direction as the neighboring area.

[0057] In a further preferred embodiment, the determination of the warning level of the gas leakage point location and its adjacent area includes: based on the comprehensive abnormal threat coefficient identification method of the gas leakage point, similarly identifying the comprehensive abnormal threat coefficient corresponding to the adjacent area of ​​the gas leakage point location, and identifying the overlapping area between the gas leakage involved area and the adjacent area.

[0058] If the overlapping area between the gas leakage area and the adjacent area is smaller than the preset benchmark overlapping area, and the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point is higher than the preset abnormal threat coefficient threshold, the leakage factor of the adjacent area will be marked as its own leakage factor.

[0059] If the overlapping area between the area involved in the gas leakage and the adjacent area is greater than or equal to the preset benchmark overlapping area, the expected abnormal threat coefficient of the adjacent area under the current wind speed state is analyzed, and it is compared with the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point. If it is smaller than the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point, the leakage factor of the adjacent area is marked as a self-leakage factor, otherwise it is marked as a gas spread factor.

[0060] The formula for the estimated abnormal threat coefficient of the adjacent area under the current wind speed state is: S″ is the preset base diffusion area of ​​leaked gas per unit time, and e is a natural constant.

[0061] Identify whether the leakage factor of the adjacent area is a self-leakage factor or a gas spread factor. If the leakage factor of the adjacent area is a self-leakage factor, the warning level of the gas leakage point location and its adjacent area is set to the same level; if the leakage factor of the adjacent area is a gas spread factor, the warning level of the adjacent area is set to one level lower than the warning level of the gas leakage point location.

[0062] The present invention identifies the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point, and clarifies whether the leakage factor in the adjacent area is caused by the failure of the leakage point itself or the spread of gas in the air. This helps to take different response measures, and then determine the warning level of the gas leakage point and its adjacent areas. According to the distribution of dangerous areas and the severity of risks, rescue forces, materials and equipment are reasonably allocated to ensure the timeliness and effectiveness of emergency response.

[0063] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A gas leakage abnormal data monitoring and early warning system based on a sensor, characterized in that: The steps include: Environmental condition monitoring module: used to extract the location of gas leakage points through particle sensors and detect the meteorological environmental conditions at the leakage points through meteorological sensors; Gas diffusion behavior analysis module: used to obtain the type of leaked gas and its leakage per unit time, identify the diffusion form of the leaked gas, and analyze the promotion coefficient μ of the diffusion form of the leaked gas on the reaction behavior; Gas reaction behavior analysis module: used to obtain the area involved in the gas leakage, identify the composition of objects and personnel in the area involved in the gas leakage, and then analyze the corresponding reaction influence coefficient of the diffusion behavior; Abnormal threat degree analysis module: used to identify the comprehensive abnormal threat coefficient of gas leakage points; Warning level gradual adjustment module: used to obtain the adjacent area of ​​the gas leakage point location and determine the warning level of the gas leakage point location and its adjacent area.

2. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 1, characterized in that: The method for extracting the gas leakage point location is specifically as follows: drawing a particle matter sensor location distribution map within the building area, obtaining the abnormal gas detection value of each particle matter sensor, comparing it with the preset gas safety value, screening out the particle matter sensors whose abnormal gas detection values ​​exceed the preset gas safety value, and recording their distribution locations as the gas leakage point locations.

3. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 1, characterized in that: The diffusion forms of the leaked gas include cluster diffusion and feather diffusion, and the specific acquisition method is: using an infrared gas leak detector to obtain the flow image of the leaked gas in the air at the gas leak point, using computer vision and image processing algorithms to automatically extract the bright area in the flow image, and observe the distribution position of the bright area of ​​the leaked gas in the flow image; When the distribution position of the bright area appears as obvious bright or dark clumps, the diffusion pattern of the leaked gas is identified as cluster diffusion; when the distribution position of the bright area shows one or more bright or dark stripes radiating from the center to the outside, the diffusion pattern of the leaked gas is identified as feather diffusion.

4. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 3, characterized in that: The analysis of the promotion coefficient of the diffusion form of the leaked gas on the reaction behavior includes: extracting the diffusion form of the leaked gas, when the diffusion form of the leaked gas is cluster diffusion, extracting the color coordinate values ​​of the central air mass and the edge air mass corresponding to the bright area in the flow image, matching them with the preset gas flow concentrations corresponding to each color coordinate value, determining the gas flow concentrations of the central air mass and the edge air mass in the bright area, and identifying the agglomeration coefficient ε of the leaked gas; When the diffusion form of leaked gas is feather diffusion, extract the path contour of the bright area, evenly locate several brightness points on the path contour, extract the color coordinate value of each brightness point, determine the gas flow concentration of each brightness point, and analyze the diffusion coefficient D of the gas flow concentration changing with time; Analyze the promotion coefficient of the diffusion form of leaked gas on the reaction behavior Where A1 and A2 represent the diffusion forms of the leaked gas as swarm diffusion and feather diffusion, respectively; α1 and α2 represent the preset reaction promotion weights when the diffusion forms are swarm diffusion and feather diffusion, respectively.

5. The sensor-based gas leakage abnormal data monitoring and early warning system according to claim 1 is characterized in that: The method for obtaining the area involved in the gas leakage is as follows: extracting a preset leakage threshold, obtaining the corresponding ratio of the preset leakage threshold to the leakage per unit time at the gas leakage point, and obtaining the diffusion time t′ of the leaked gas at the gas leakage point to reach the preset leakage threshold; Extract the wind direction angle and wind speed at the gas leakage point, and evaluate the diffusion area S of the leaked gas per unit time at the gas leakage point; Determine the flow area S′=S*t′ at the gas leakage point within the diffusion time, and circle the area to which the flow area at the gas leakage point in the wind direction belongs as the gas leakage involved area.

6. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 1, characterized in that: The analysis of diffusion behavior corresponds to the reaction influence coefficient, including: extracting the spatial contour structure of the area involved in the gas leak, identifying the composition of objects and personnel in the area involved in the gas leak, and analyzing the reaction risk considerations of objects in the area involved in the gas leak based on the composition of objects in the area involved in the gas leak (Safety) art ; Extract the location of each person and the distance between them and the gas leak point, and identify the behavior of each person, including dynamic and static behavior, obtain the hazard factor of gas leakage to personnel at the gas leak point, and count the number of people distributed in the area involved in the gas leak, and evaluate the risk considerations of people in the area involved in the gas leak (Safety) per ; Analyze the diffusion behavior corresponding to the reaction influence coefficient Wherein y and z are set constants, such as y=2, z=3.

7. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 6, characterized in that: The identification of gas leakage involves the consideration of the risk of physical reactions in the area, and also includes: extracting the temperature and pressure of the gas leakage point, obtaining each ignition source on the gas leakage path, and obtaining the preset explosion temperature and preset explosion pressure of each ignition source, and analyzing the explosion tendency factor R of each ignition source. k , k represents the number of the ignition source, k = 1, 2, ..., h; Identify the contact mode between each ignition source and the leaked gas, including direct contact and interval contact, and extract the contact distance L between each ignition source and the leaked gas k , evaluate the ignition source explosion coefficient of the gas leak area Wherein, B1 indicates that each ignition source is in direct contact with the leaked gas, B2 indicates that each ignition source is not in direct contact with the leaked gas, and L0 indicates a preset reference contact distance; Obtain the building material types in the area involved in the gas leak, match them with the preset reaction sensitivities between each building material type and the leaking gas type, obtain the reaction sensitivity between the building materials and the leaking gas in the area involved in the gas leak, set the corresponding monitoring period for the gas leak, determine the erosion iteration value of the building materials in the area involved in the gas leak, and then analyze the risk considerations of the material reactions in the area involved in the gas leak (Safety) art .

8. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 6, characterized in that: The comprehensive abnormal threat coefficient of the gas leakage point is analyzed, and the specific formula is: Where β is the corresponding reduction multiple of the preset abnormal threat coefficient.

9. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 5, characterized in that: The method of obtaining the neighboring area of ​​the gas leakage point position is as follows: obtaining the neighboring particle sensor position of the particle sensor corresponding to the gas leakage point position, and marking a fixed area of ​​the neighboring particle sensor position in the wind direction angle direction as the neighboring area.

10. A sensor-based gas leakage abnormal data monitoring and early warning system according to claim 1, characterized in that: The method of determining the warning level of the gas leakage point location and its adjacent areas includes: based on the comprehensive abnormal threat coefficient identification method of the gas leakage point, similarly identifying the comprehensive abnormal threat coefficient corresponding to the adjacent area of ​​the gas leakage point location, and identifying the overlapping area between the gas leakage involved area and the adjacent area; If the overlapping area between the gas leakage area and the adjacent area is smaller than the preset reference overlapping area, and the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point is higher than the preset abnormal threat coefficient threshold, the leakage factor of the adjacent area is marked as its own leakage factor; If the overlapping area between the gas leakage area and the adjacent area is greater than or equal to the preset reference overlapping area, the estimated abnormal threat coefficient of the adjacent area under the current wind speed state is analyzed and compared with the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point. If it is less than the corresponding comprehensive abnormal threat coefficient of the adjacent area of ​​the gas leakage point, the leakage factor of the adjacent area is marked as a self-leakage factor, otherwise it is marked as a gas spread factor. Identify whether the leakage factor of the adjacent area is a self-leakage factor or a gas spread factor. If the leakage factor of the adjacent area is a self-leakage factor, the warning level of the gas leakage point location and its adjacent area is set to the same level; if the leakage factor of the adjacent area is a gas spread factor, the warning level of the adjacent area is set to one level lower than the warning level of the gas leakage point location.

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