A volatile organic compound leakage detection system and method

Abstract

The present invention discloses a leakage detection system and method for volatile organic compounds, which relate to the technical field of leakage detection. The system of the present invention includes a leakage detection module, a volatility detection module and a transportation limitation module. First, a leakage judgment index model is constructed based on multiple parameters, and the hazard level of the leakage node is dynamically evaluated in combination with a spatiotemporal trend item correction algorithm; secondly, through the fusion of multi-media monitoring data, a volatility judgment index and a multi-media collaborative trend analysis model are established to provide a real-time warning of leakage diffusion risks; finally, a standard transportation plan is formulated based on three-dimensional data of temperature, pressure and flow rate, and differentiated detection intervals are intelligently set through abnormal scenario simulation. The present invention improves the leakage positioning accuracy, performs dynamic transportation risk assessment and optimizes the abnormal scenario detection strategy, significantly improves the timeliness and accuracy of volatile organic compound leakage detection, and improves the applicability of the detection system.

Description

Technical Field

[0001] The present invention relates to the technical field of leakage detection, and in particular to a leakage detection system and method for volatile organic compounds. Background Art

[0002] Volatile organic compounds are widely present in many fields such as industrial production and energy transportation. Pipelines are an important way to transport organic compounds. Their leakage problems not only cause waste of resources, but also pose a serious threat to the ecological environment and human health. Therefore, a volatile organic compound leakage detection system and method are needed.

[0003] Prior art, such as the invention patent application with publication number CN113498478A, discloses a real-time underground volatile organic compound leak detection system, and more specifically relates to such a real-time underground volatile organic compound leak detection system, which is used to minimize pollution and allow rapid response by pre-emptively detecting the spread of pollution in soil and groundwater in real time. The pollution comes from environmental accidents caused by oil leaks, oil spills, etc. from surface and underground storage tanks of a monitored facility, wherein the monitored facility is used for oil and hazardous chemicals including volatile organic compounds (VOCs). The system includes: a monitoring well, which is arranged near the monitored facility and is used to collect volatile organic compounds (VOCs) leaked from the monitored facility; a gas sensor module, which is arranged inside the monitoring well and is used to detect volatile organic compounds (VOCs) and measure their concentration; a communication module, which is used to wirelessly transmit detection and concentration sensor data measured by the gas sensor module; and a control center server, which is used to display the detection and concentration sensor data received from the communication module and output a monitoring screen.

[0004] The above solution has the following technical problems: the above solution only realizes the leakage detection function, lacks the detection of organic volatilization after leakage. Volatile organic compounds will cause secondary pollution after leakage. The above solution does not have the ability to monitor the volatilization of organic matter, and does not fully analyze the hazardous data of organic compounds, which reduces the effectiveness and comprehensiveness of the data.

[0005] 2. The above scheme only sets a fixed concentration threshold, and does not analyze the leakage trend based on the concentration change data. It lacks an adaptive early warning mechanism based on dynamic trend correction parameters, and there is no predictive analysis of the data. It is impossible to stop the leakage of organic compounds in a timely manner. There is a blind spot in safety management in the transportation scenario, which reduces the effectiveness of detection and the safety of transportation.

[0006] 3. The above scheme does not establish a correlation analysis between transportation parameters and leakage risks, cannot achieve active control of the transportation process, and reduces the practicality of the detection system. At the same time, the above scheme does not set a detection interval, cannot link transportation parameters with the detection interval duration, does not conduct deeper mining of abnormal data, cannot fully utilize data, and reduces the effectiveness of data analysis. At the same time, there is no dynamic planning of detection intervals, which increases the detection cost. Summary of the Invention

[0007] In view of the above-mentioned technical deficiencies, the present invention aims to provide a system and method for detecting leakage of volatile organic compounds.

[0008] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a volatile organic compound leakage detection system, including the following modules: a leakage detection module, which is used to collect compound concentration data at each pipeline monitoring point of the target pipeline node, analyze whether the volatile organic compound is leaking, and if the volatile organic compound is leaking, analyze the leakage node and issue an early warning, and then perform volatility detection on the leakage node, while collecting compound concentration change data at the leakage node and analyzing it to obtain the leakage hazard level of the leakage node.

[0009] The volatility detection module is used to collect compound concentration data from the leakage node warning monitoring point, analyze whether volatile organic compounds have leaked and volatilized, and issue an early warning if volatile organic compounds have leaked and volatilized. At the same time, it collects compound concentration change data from the leakage node warning monitoring point and analyzes it to obtain the volatility hazard level.

[0010] The transportation limitation module is used to set up a standard transportation plan for volatile organic compounds based on the historical data of leakage nodes and leakage hazard levels in the database. Based on the standard transportation data of the compounds, it simulates various abnormal transportation scenarios of the compounds and sets up leakage detection plans for various abnormal transportation scenarios of the compounds based on the historical data of volatile hazard levels in the database.

[0011] Preferably, the analysis obtains the leakage risk level of the leakage node, and the specific analysis process is as follows: the compound concentration change data of the leakage node includes the concentration and humidity collected at each time at each associated monitoring point of the leakage node.

[0012] The concentration and humidity collected at each associated monitoring point are fitted according to the time coordinate to obtain the curve of the concentration and humidity changing with time at each associated monitoring point. The current concentration curve slope and the current temperature curve slope of each associated monitoring point within the past preset time period are obtained through image recognition technology. The trend item correction parameters corresponding to the slope of each curve are obtained from the database, so as to obtain the concentration leakage time trend item correction parameters and humidity leakage time trend item correction parameters of each associated monitoring point.

[0013] The concentration and humidity collected at each associated monitoring point of the leakage node are fitted according to the displacement distance coordinates with the leakage node to obtain the curve of the concentration and humidity of each associated monitoring point collected each time as a function of the displacement distance. The slope of the concentration-distance curve and the slope of the temperature-distance curve of each associated monitoring point collected each time are obtained from the curve. The slope of the concentration-distance curve and the slope of the temperature-distance curve of each associated monitoring point collected each time are averaged to obtain the average slope of the concentration-distance curve and the average slope of the temperature-distance curve of each associated monitoring point, and then the concentration leakage spatial trend item correction parameters and the humidity leakage spatial trend item correction parameters of each associated monitoring point are obtained.

[0014] Substitute the leakage concentration time trend item correction parameter, leakage humidity time trend item correction parameter, leakage concentration spatial trend item correction parameter and leakage humidity spatial trend item correction parameter of each associated monitoring point into the leakage trend item correction parameter calculation formula to obtain the leakage trend item correction parameter of each associated monitoring point, and obtain the leakage trend item correction parameter interval corresponding to each leakage hazard level from the database. If the leakage trend item correction parameter of an associated detection point belongs to the leakage trend item correction parameter interval corresponding to a certain leakage hazard level, it indicates that the associated detection point is of that leakage hazard level, so as to obtain the leakage hazard level of each associated monitoring point of the leakage node, and select the maximum leakage hazard level of each associated monitoring point as the leakage hazard level of the leakage node.

[0015] On the other hand, the present invention provides a method for detecting leakage of volatile organic compounds, comprising the following steps: Step 1, leakage detection: collecting compound concentration data from each pipeline monitoring point of the target pipeline node, analyzing whether the volatile organic compound is leaking, and if the volatile organic compound is leaking, analyzing to obtain the leakage node, collecting compound concentration change data of the leakage node, analyzing to obtain the leakage hazard level of the leakage node, issuing an early warning, and simultaneously performing volatile detection on the leakage node.

[0016] Step 2: Volatility detection: Collect compound concentration data from the leakage node warning monitoring point and analyze whether volatile organic compounds have leaked and volatilized. If volatile organic compounds have leaked and volatilized, issue an early warning. At the same time, collect compound concentration change data from the leakage node warning monitoring point and analyze to obtain the volatility hazard level.

[0017] Step 3. Transportation limitation: According to the historical data of leakage nodes and leakage hazard levels in the database, set up a standard transportation plan for volatile organic compounds. Based on the standard transportation data of the compounds, simulate various abnormal transportation scenarios of the compounds. According to the historical data of volatile hazard levels in the database, set up leakage detection plans for various abnormal transportation scenarios of the compounds.

[0018] The beneficial effects of the present invention are: 1. The present invention first constructs a leakage judgment index model based on multiple parameters, and combines the spatiotemporal trend item correction algorithm to dynamically evaluate the hazard level of the leakage node; secondly, through the fusion of multi-media monitoring data, a volatility judgment index and a multi-media collaborative trend analysis model are established to provide real-time warning of leakage diffusion risks; finally, a standard transportation plan is formulated based on three-dimensional data of temperature, pressure, and flow rate, and differentiated detection intervals are intelligently set through abnormal scenario simulation. The present invention improves the leakage positioning accuracy, performs dynamic transportation risk assessment to optimize the abnormal scenario detection strategy, significantly improves the timeliness and accuracy of volatile organic compound leakage detection, and at the same time improves the applicability of the detection system.

[0019] 2. The present invention constructs a leakage judgment index model by integrating multi-dimensional data such as concentration difference, temperature difference, pressure difference, and humidity difference inside and outside the pipeline, which significantly reduces the false alarm rate and improves the accuracy of leakage identification. It then distinguishes between low-concentration and high-concentration leakage points, and conducts dynamic evaluation based on time and spatial trends, thereby improving the refinement of leakage risk analysis.

[0020] 3. The present invention analyzes the volatility data of organic compounds through volatility detection at three levels: soil, groundwater, and air, and issues volatility warnings through dynamic data, thereby reducing the secondary pollution impact caused by the volatility of organic compounds, improving the preventive control effect of the transportation process, and increasing the sensitivity of the warning.

[0021] 4. The present invention generates dynamic transportation standards through fitting historical data, thereby improving data utilization and increasing the safety of subsequent transportation. At the same time, it sets up detection schemes for various abnormal scenarios, increasing the detection sensitivity of abnormal scenario transportation. During the transportation process of abnormal scenarios, leakage faults and post-leakage volatilization faults can be detected in a timely manner, reducing the impact of post-leakage volatilization pollution during the transportation process of abnormal scenarios and increasing transportation safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0024] Figure 2 The figure is a flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0026] according to Figure 1 As shown, the present invention provides a volatile organic compound leakage detection system, which includes the following modules: a leakage detection module, a volatility detection module, a transportation limitation module and a database.

[0027] The volatility detection module is connected to the leakage detection module and the transportation restriction module respectively. The leakage detection module, the volatility detection module and the transportation restriction module are all connected to a database.

[0028] The leakage detection module is used to collect compound concentration data at each pipeline monitoring point of the target pipeline node and analyze whether volatile organic compounds are leaking. If volatile organic compounds are leaking, the leakage node is analyzed and an early warning is issued. Then, volatile detection is performed on the leakage node. At the same time, the compound concentration change data of the leakage node is collected and analyzed to obtain the leakage hazard level of the leakage node.

[0029] In a specific embodiment, the compound concentration data of each pipeline monitoring point of the target pipeline node is collected, and the specific collection process is as follows: the compound concentration data of each pipeline monitoring point includes the compound concentration of the outer pipeline of each pipeline detection point, the difference between the inner and outer pipeline concentrations, the outer pipeline humidity and the inner and outer pipeline humidity difference; the organic compound concentration is collected by a semiconductor sensor to obtain the outer pipeline compound concentration and the inner pipeline concentration of each pipeline detection point; the outer pipeline compound concentration is subtracted from the outer pipeline compound concentration at each pipeline detection point to obtain the inner and outer pipeline concentration difference at each pipeline detection point; the gas humidity is collected by a humidity sensor to obtain the outer pipeline humidity and the inner pipeline humidity of each pipeline detection point; the outer pipeline humidity is subtracted from the outer pipeline humidity at each pipeline detection point to obtain the inner and outer pipeline humidity difference at each pipeline detection point.

[0030] It should be noted that the location of each pipeline monitoring point is set by the staff.

[0031] In a specific embodiment, the analysis of whether volatile organic compounds are leaked is performed as follows: the compound concentration outside the pipeline, the concentration difference between the inner and outer pipelines, the humidity outside the pipeline, and the humidity difference between the inner and outer pipelines at each pipeline detection point are substituted into the leakage judgment index calculation formula to obtain the leakage judgment index of each pipeline detection point, and each pipeline detection point with a leakage judgment index greater than the benchmark leakage judgment index is recorded as a low-concentration leakage point, and each low-concentration leakage point with a leakage judgment index greater than the standard leakage judgment index is recorded as a high-concentration leakage point.

[0032] It should be noted that the calculation formula for the leakage judgment index is: ,in is the leakage judgment index of pipeline detection point a, a is the number of pipeline detection point, and the value of a is a positive integer. 、 、 and They are the external pipe compound concentration, internal and external pipe concentration difference, external pipe humidity and internal and external pipe humidity difference at the pipeline detection point a, 、 、 and They are respectively the standard external pipe compound concentration, the standard internal and external pipe concentration difference, the standard external pipe humidity and the standard internal and external pipe humidity difference. and are the preset concentration weighting factor and humidity weighting factor, , , .

[0033] Standard parameters 、 、 and For the outer pipe compound concentration threshold, inner and outer pipe concentration difference threshold, outer pipe humidity threshold, and inner and outer pipe humidity difference threshold of the transport pipeline during normal transportation, when the collected data is greater than the corresponding standard parameters, it indicates that a leakage fault may occur. The specific values ​​are set by the staff, for example 1.3, 0.7, 1.5 and The weight factor is 0.6. and It is related to the volatility of the compound. The greater the volatility, The larger it is, the less volatile it is. The larger the value, the specific value is set by the staff, e.g. is 0.3 and is 0.7.

[0034] If a pipeline detection point is a high-concentration leakage point, and the number of low-concentration leakage points in the preset affected area near the high-concentration leakage point is greater than the preset number of basic leakage points, the pipeline detection point will be recorded as a leakage node. If all pipeline detection points in a group of continuous pipeline detection points are low-concentration leakage points, it indicates that there is a leakage in the group of pipeline detection points. The pipeline detection point with the largest leakage judgment index in the group of pipeline detection points is selected as the leakage node to perform leakage node judgment. When a leakage node appears in the judgment result, it indicates that there is a compound leakage and an alarm is issued.

[0035] It should be noted that a certain group of continuous pipeline detection points is a continuous pipeline detection point group formed by spatially continuous pipeline detection points. The process of setting the preset affected area is: with the high-concentration leakage point as the center of the circle and the maximum pollution distance of organic compounds in the database as the radius, a circle is drawn. The resulting area is recorded as the preset affected area corresponding to the high-concentration leakage point.

[0036] In a specific embodiment, the compound concentration change data of the leakage node is collected, and the specific collection process is as follows: the compound concentration change data of the leakage node includes the concentration and humidity collected each time by each associated monitoring point of the leakage node. According to the preset detection interval, the concentration and humidity collected each time by each associated monitoring point of the leakage node are collected, so as to obtain the concentration and humidity collected each time by each associated monitoring point of the leakage node.

[0037] It should be noted that the setting process of each associated monitoring point is: draw a circle with the leakage node as the center and the maximum leakage distance in the database as the radius. The area inside the circle is the associated area, and each pipeline detection point in the associated area is the associated monitoring point of the leakage node.

[0038] In a specific embodiment, the analysis obtains the leakage hazard level of the leakage node, and the specific analysis process is as follows: the compound concentration change data of the leakage node includes the concentration and humidity collected each time at each associated monitoring point of the leakage node, and the concentration and humidity collected each time at each associated monitoring point are fitted according to the time coordinate to obtain a curve of the concentration and humidity change over time at each associated monitoring point, and the current concentration curve slope and the current temperature curve slope of each associated monitoring point within the past preset time period are obtained through image recognition technology, and the trend item correction parameters corresponding to each curve slope are obtained from the database, so as to obtain the concentration leakage time trend item correction parameters and humidity leakage time trend item correction parameters of each associated monitoring point.

[0039] The concentration and humidity collected at each associated monitoring point of the leakage node are fitted according to the displacement distance coordinates with the leakage node to obtain the curve of the concentration and humidity of each associated monitoring point collected each time as a function of the displacement distance. The slope of the concentration-distance curve and the slope of the temperature-distance curve of each associated monitoring point collected each time are obtained from the curve. The slope of the concentration-distance curve and the slope of the temperature-distance curve of each associated monitoring point collected each time are averaged to obtain the average slope of the concentration-distance curve and the average slope of the temperature-distance curve of each associated monitoring point, and then the concentration leakage spatial trend item correction parameters and the humidity leakage spatial trend item correction parameters of each associated monitoring point are obtained.

[0040] Substitute the leakage concentration time trend item correction parameter, leakage humidity time trend item correction parameter, leakage concentration spatial trend item correction parameter and leakage humidity spatial trend item correction parameter of each associated monitoring point into the leakage trend item correction parameter calculation formula to obtain the leakage trend item correction parameter of each associated monitoring point, and obtain the leakage trend item correction parameter interval corresponding to each leakage hazard level from the database. If the leakage trend item correction parameter of an associated detection point belongs to the leakage trend item correction parameter interval corresponding to a certain leakage hazard level, it indicates that the associated detection point is of that leakage hazard level, so as to obtain the leakage hazard level of each associated monitoring point of the leakage node, and select the maximum leakage hazard level of each associated monitoring point as the leakage hazard level of the leakage node.

[0041] It should be noted that the calculation formula for the leakage trend correction parameter is: , is the leakage trend correction parameter of the associated monitoring point b, b is the number of the associated monitoring point, and the value of b is a positive integer. 、 、 and are the leakage concentration time trend item correction parameter, leakage humidity time trend item correction parameter, leakage concentration spatial trend item correction parameter and leakage humidity spatial trend item correction parameter of the associated monitoring point b, respectively. and are the preset weight factors of the time trend item and the spatial trend item, respectively. , , .

[0042] Weighting Factor and It is related to the difficulty of organic pollution control. The higher the difficulty of organic pollution control, The larger it is, the easier it is to control organic pollution. The larger the value, the specific value is set by the staff, e.g. 0.45 and is 0.55.

[0043] The volatility detection module is used to collect compound concentration data from the leakage node warning monitoring point, analyze whether volatile organic compounds have leaked and volatilized, and issue an early warning if volatile organic compounds have leaked and volatilized. At the same time, it collects compound concentration change data from the leakage node warning monitoring point and analyzes it to obtain the volatility hazard level.

[0044] In a specific embodiment, the compound concentration data of the leakage node early warning monitoring point is collected, and the specific collection process is as follows: the compound concentration data of the leakage node early warning monitoring point includes the soil gas compound concentration of each early warning soil monitoring point of the leakage node, the soil gas compound concentration ratio of each early warning soil monitoring point, the dissolved compound concentration of each early warning groundwater monitoring point, the conductivity of each early warning groundwater monitoring point, the near-ground compound concentration of each early warning air monitoring point and the air compound concentration ratio of each early warning air monitoring point.

[0045] It should be noted that the process of setting early warning monitoring points is as follows: a circle is drawn with the leakage node as the center and the maximum volatilization distance in the database as the radius. The area inside the circle is the early warning area. Each soil monitoring point in the early warning area is recorded as a warning soil monitoring point, each groundwater monitoring point in the early warning area is recorded as a warning groundwater monitoring point, and each air monitoring point in the early warning area is recorded as a warning air monitoring point. The locations of each soil monitoring point, each groundwater monitoring point, and each air monitoring point are set by the staff.

[0046] The soil compound concentration is collected by the ion exchange resin method, and the soil gas compound concentration is obtained by collecting it with a portable mass spectrometer. The soil gas compound concentration is divided by the soil compound concentration to obtain the soil gas compound concentration ratio. In this way, the soil gas compound concentration and soil gas compound concentration ratio of each early warning soil monitoring point of the leakage node are obtained.

[0047] The concentration of compounds and conductivity in water are collected by electrochemical sensor monitors and conductivity meters to obtain the dissolved compound concentration and conductivity of each early warning groundwater monitoring point at the leakage node.

[0048] The concentration of compounds in the air is collected by air samplers at different heights of the monitoring point to obtain the near-ground compound concentration and the high-altitude compound concentration. The near-ground compound concentration is divided by the high-altitude compound concentration to obtain the air compound concentration ratio, thereby obtaining the near-ground compound concentration and the air compound concentration ratio of each early warning air monitoring point of the leakage node.

[0049] It should be noted that collectors are set up near the ground and at high altitude at each early warning air monitoring point. Generally, the near-ground height is 0.5 meters from the ground, and the high altitude height is generally set to 10 meters from the ground.

[0050] In a specific embodiment, the analysis of whether volatile organic compounds have leaked and volatilized is carried out as follows: a weight factor is set according to the distance between each early warning soil monitoring point and the leakage node, and the weighted mean of the soil gas compound concentration and the soil gas compound concentration ratio of each early warning soil monitoring point of the leakage node is calculated to obtain the soil gas compound concentration and the soil gas compound concentration ratio of the leakage node. Similarly, based on the analysis process of the soil gas compound concentration and the soil gas compound concentration ratio of each early warning soil monitoring point of the leakage node, the dissolved compound concentration of each early warning groundwater monitoring point of the leakage node, the conductivity of each early warning groundwater monitoring point, the near-ground compound concentration of each early warning air monitoring point and the air compound concentration ratio of each early warning air monitoring point are analyzed to obtain the dissolved compound concentration, conductivity, near-ground compound concentration and air compound concentration ratio of the leakage node.

[0051] The soil gas compound concentration, soil gas compound concentration ratio, dissolved compound concentration, electrical conductivity, near-ground compound concentration, and air compound concentration ratio of the leakage node are substituted into the volatility judgment index calculation formula to obtain the volatility judgment index of the leakage node. If the volatility judgment index of the leakage node is greater than the preset volatility judgment index, it indicates that the current organic compound volatilization is leaking and an early warning is issued.

[0052] It should be noted that the calculation formula for the volatility judgment index is: ,in 、 、 、 、 and are the soil gas compound concentration, soil gas compound concentration ratio, dissolved compound concentration, conductivity, near-surface compound concentration, and air compound concentration ratio of the leakage node, 、 、 、 、 and They are the preset standard soil gas compound concentration, standard soil gas compound concentration ratio, standard dissolved compound concentration, standard electrical conductivity, standard near-surface compound concentration and standard air compound concentration ratio. 、 and They are the preset weight factors for soil detection, groundwater detection and air detection, , , , .

[0053] Standard parameters 、 、 、 、 and These are the thresholds for soil gas compound concentration, soil gas compound concentration ratio, dissolved compound concentration, conductivity, near-ground compound concentration, and air compound concentration ratio during normal transportation. When the collected data is greater than the standard parameters, it indicates that the current leakage is worsening. The specific values ​​are set by the staff, for example 0.16, 0.17, 0.15, 0.42, 0.17 and is 0.65, the weight factor 、 and Set by staff, e.g. 0.4, is 0.2 and is 0.4.

[0054] In a specific embodiment, the compound concentration change data of the leakage node early warning monitoring point is collected, and the specific collection process is as follows: the compound concentration change data of the leakage node early warning monitoring point includes the soil gas compound concentration of each early warning soil monitoring point collected at each leakage node, the soil gas compound concentration ratio of each early warning soil monitoring point, the dissolved compound concentration of each early warning groundwater monitoring point, the conductivity of each early warning groundwater monitoring point, the near-ground compound concentration of each early warning air monitoring point and the air compound concentration ratio of each early warning air monitoring point.

[0055] According to the preset detection interval, the soil gas compound concentration of each early warning soil monitoring point, the soil gas compound concentration ratio of each early warning soil monitoring point, the dissolved compound concentration of each early warning groundwater monitoring point, the conductivity of each early warning groundwater monitoring point, the near-ground compound concentration of each early warning air monitoring point and the air compound concentration ratio of each early warning air monitoring point are collected.

[0056] In a specific embodiment, the analysis obtains the volatility hazard level, and the specific analysis process is as follows: according to the analysis process of the concentration and humidity collected each time at each associated monitoring point of the leakage node, the soil gas compound concentration and the soil gas compound concentration ratio of each warning soil monitoring point collected each time at the leakage node are analyzed to obtain the volatility trend item correction parameter of each warning soil monitoring point, and a weight factor is set for each warning soil monitoring point according to the distance from the leakage node. The volatility trend item correction parameter of each warning soil monitoring point is weighted averaged to obtain the soil volatility trend item correction parameter of the leakage node.

[0057] It should be noted that in the overall soil monitoring and analysis process, the farther the distance between the monitoring point and the leakage node, the more stable the concentration change trend. In the overall weighted mean calculation, in order to compensate for the situation where the trend term correction parameter caused by distance is too small, the weight factor of the corresponding monitoring point is increased. Therefore, in the weighted mean calculation process, the farther the distance between the monitoring point and the leakage node, the greater the weight factor of the monitoring point.

[0058] Similarly, based on the analysis process of the soil gas compound concentration and the soil gas compound concentration ratio of each early warning soil monitoring point collected each time at the leakage node, the dissolved compound concentration and conductivity of each early warning groundwater monitoring point collected each time at the leakage node are analyzed to obtain the groundwater volatilization trend item correction parameters of the leakage node. The near-ground compound concentration and the air compound concentration ratio of each early warning air monitoring point collected each time at the leakage node are analyzed to obtain the air volatilization trend item correction parameters of the leakage node.

[0059] The soil volatilization trend item correction parameters, groundwater volatilization trend item correction parameters and air volatilization trend item correction parameters of the leakage node are weightedly calculated according to the corresponding weight factors to obtain the volatilization trend item correction parameters of the leakage node. The volatilization trend item correction parameter intervals corresponding to each volatilization hazard level are obtained from the database. If the volatilization trend item correction parameter of the leakage node belongs to the volatilization trend item correction parameter interval corresponding to a certain volatilization hazard level, it indicates that the leakage node is of that volatilization hazard level. If the volatilization hazard level of the leakage node is greater than the preset volatilization hazard level, an early warning prompt is issued.

[0060] It should be noted that the weighted calculation process is: the soil volatilization trend correction parameter is multiplied by the soil detection weight factor The product of the groundwater volatilization trend correction parameter multiplied by the groundwater detection weight factor The product of the air volatilization trend correction parameter multiplied by the air detection weight factor The product of the three is the volatility trend correction parameter of the leakage node.

[0061] The transportation limitation module is used to set up a standard transportation plan for volatile organic compounds based on the historical data of leakage nodes and leakage hazard levels in the database. Based on the standard transportation data of the compounds, it simulates various abnormal transportation scenarios of the compounds and sets up leakage detection plans for various abnormal transportation scenarios of the compounds based on the historical data of volatile hazard levels in the database.

[0062] In a specific embodiment, the standard transportation plan for volatile organic compounds is set up, and the specific setting process is as follows: the leakage node historical data of the database includes the number of leakage warnings for each temperature, the number of leakage warnings for each pressure, and the number of leakage warnings for each flow rate; the leakage hazard level historical data of the database includes the average leakage hazard level for each temperature, the maximum leakage hazard level for each temperature, the average leakage hazard level for each pressure, the maximum leakage hazard level for each pressure, the maximum leakage hazard level for each flow rate, and the average leakage hazard level for each flow rate.

[0063] Substitute the number of leakage warnings, the average leakage hazard level and the maximum leakage hazard level for each temperature into the hazard index calculation formula to obtain the temperature hazard index for each temperature; substitute the number of leakage warnings, the average leakage hazard level and the maximum leakage hazard level for each pressure into the hazard index calculation formula to obtain the pressure hazard index for each pressure; substitute the number of leakage warnings, the average leakage hazard level and the maximum leakage hazard level for each flow rate into the hazard index calculation formula to obtain the flow rate hazard index for each flow rate; the maximum temperature for which the temperature hazard index is less than the standard temperature hazard index is recorded as the standard temperature, the minimum pressure for which the pressure hazard index is less than the standard pressure hazard index is recorded as the standard pressure, and the maximum flow rate for which the flow rate hazard index is less than the standard flow rate hazard index is recorded as the standard flow rate. The standard transportation plan is: when the temperature of the organic matter is less than the standard temperature and the pipeline pressure is less than the standard pressure, the organic matter is transported at the standard flow rate.

[0064] It should be noted that the hazard index calculation formula includes the temperature-related hazard index calculation formula, the pressure-related hazard index calculation formula, and the flow rate-related hazard index calculation formula. The temperature-related hazard index calculation formula is: , the calculation formula of pressure-related risk index is: , the calculation formula of flow velocity related risk index is: ,in, is the temperature danger index of temperature i, i is the number of each temperature, and the value of i is a positive integer. is the pressure hazard index of pressure e, e is the number of each pressure intensity, and the value of e is a positive integer. is the flow velocity hazard index of flow velocity v, v is the number of each flow velocity, and the value of v is a positive integer. 、 and are the number of leakage warnings, average leakage hazard level and maximum leakage hazard level at temperature i, 、 and are the number of leakage warnings, average leakage risk level and maximum leakage risk level of pressure p, respectively. 、 and are the number of leakage warnings, average leakage hazard level and maximum leakage hazard level of flow rate v, respectively. and They are the preset standard leakage warning times and standard leakage hazard levels, and are the weight factors of the preset average leakage hazard level and the maximum leakage hazard level, respectively. , , .

[0065] Standard parameters and The threshold value of the number of leakage warnings and the threshold value of the leakage risk level in the normal transportation environment. When the preset data exceeds the standard parameters, it indicates that the preset transportation environment is prone to leakage. The weight factor and , set by staff, e.g. 0.35 and is 0.65.

[0066] In a specific embodiment, the various abnormal transportation scenarios of the simulated compounds are simulated in the following manner: each transportation scenario is set, and then the temperature, pressure and flow rate of each transportation scenario are obtained, and the temperature hazard index corresponding to the temperature of each transportation scenario, the pressure hazard index corresponding to the pressure, and the flow rate hazard index corresponding to the flow rate are weightedly calculated to obtain the scenario leakage hazard index of each transportation scenario, and each transportation scenario whose scenario leakage hazard index is greater than the preset standard scenario leakage hazard index is recorded as various dangerous transportation scenarios.

[0067] It should be noted that each transportation scenario is set based on the properties of the volatile organic compound, such as flash point, ignition point, LEL and other parameters. The conditions of each transportation scenario include but are not limited to temperature, pressure and flow rate.

[0068] LEL is the lowest explosive concentration of flammable gas in air.

[0069] The weighted calculation process of the hazard index is as follows: the temperature hazard index, pressure hazard index and flow rate hazard index of each transport scenario are weighted and summed to obtain the leakage hazard index of each transport scenario. The temperature weight factor, pressure weight factor and flow rate weight factor are all set by the staff. The temperature weight factor, pressure weight factor and flow rate weight factor are all greater than zero, and the sum of the temperature weight factor, pressure weight factor and flow rate weight factor is 1. For example, the temperature weight factor is 0.3, the pressure weight factor is 0.3 and the flow rate weight factor is 0.4.

[0070] The historical data of volatility hazard levels in the database include the average volatility hazard level of each temperature, the maximum volatility hazard level of each temperature, the maximum volatility hazard level of each flow rate and the average volatility hazard level of each flow rate. The average leakage hazard level, the maximum leakage hazard level, the average volatility hazard level and the maximum volatility hazard level of each temperature are substituted into the temperature volatility index calculation formula to obtain the temperature volatility index of each temperature. The average leakage hazard level, the maximum leakage hazard level, the average volatility hazard level and the maximum volatility hazard level of each flow rate are substituted into the flow velocity volatility index calculation formula to obtain the flow velocity volatility index of each flow rate.

[0071] It should be noted that the temperature volatility index calculation formula is: ,in, is the temperature volatility index at temperature i, and are the average volatility hazard level and the maximum volatility hazard level at temperature i, and are the average leakage hazard level and the maximum leakage hazard level at temperature i, For the preset standard leakage hazard level, It is the preset standard volatility hazard level. and are the weight factors of the preset average leakage hazard level and the maximum leakage hazard level, respectively. , , , and are the preset weight factors for leakage risk and volatilization risk, respectively. , , .

[0072] Standard parameters The volatile hazard level threshold for normal leakage failure. When the volatile hazard level of the preset leakage scenario is greater than When , it indicates that the preset leakage scenario is more likely to cause secondary pollution by volatilization. The specific value is set by the staff, for example is 0.45, the weight factor and The setting process is related to the volatility failure rate in the leakage fault. The greater the volatility failure rate in the leakage fault, the higher the volatility failure rate. The larger the value, the smaller the volatility failure rate in leakage failure. The larger the value, the specific value is set by the staff, e.g. 0.64 and is 0.36.

[0073] Flow rate volatility index calculation formula: ,in, is the velocity volatility index of the flow rate v, and are the average volatility hazard level and the maximum volatility hazard level of the flow rate v, respectively. and are the average leakage hazard level and the maximum leakage hazard level of flow velocity v, respectively. and are the weight factors of the preset average leakage hazard level and the maximum leakage hazard level, respectively. , , , and are the preset weight factors for leakage risk and volatilization risk, respectively. , , .

[0074] The temperature volatility index corresponding to the temperature of various dangerous transportation scenarios and the flow volatility index corresponding to the flow rate are weightedly calculated to obtain the volatility hazard index of various dangerous transportation scenarios. Various dangerous transportation scenarios with a volatility hazard index less than the preset standard volatility hazard index are recorded as various abnormal transportation scenarios.

[0075] It should be noted that the weighted calculation process of the volatility index is: the product of the temperature volatility index of various dangerous transportation scenarios multiplied by the corresponding weight factor, plus the product of the flow velocity volatility index of various dangerous transportation scenarios multiplied by the corresponding weight factor, to obtain the volatility hazard index of various dangerous transportation scenarios. The weight factor of the temperature volatility index and the weight factor of the flow velocity volatility index are both set by the staff. The weight factor of the temperature volatility index and the weight factor of the flow velocity volatility index are both greater than zero. The sum of the weight factor of the temperature volatility index and the weight factor of the flow velocity volatility index is equal to 1. For example, the weight factor of the temperature volatility index is 0.3 and the weight factor of the flow velocity volatility index is 0.7.

[0076] In a specific embodiment, the leakage detection scheme for various abnormal transportation scenarios of the compound is set up, and the specific setting process is as follows: the scenario leakage hazard index and volatility hazard index of each abnormal transportation scenario are weightedly calculated to obtain the transportation risk index of each abnormal transportation scenario, and the transportation risk index range of each detection interval is obtained from the database. If the transportation risk index of a certain type of abnormal transportation scenario belongs to the transportation risk index range of a certain detection interval, it indicates that the abnormal transportation scenario is the detection interval, so as to obtain the detection interval corresponding to each type of abnormal transportation scenario, and then obtain the leakage detection scheme for various abnormal transportation scenarios of the compound: detection is performed according to the corresponding detection interval.

[0077] It should be noted that the calculation formula for the transportation risk index is: multiply the scenario leakage hazard index of each abnormal transportation scenario by the product of the corresponding weight factor, plus the volatility hazard index multiplied by the product of the corresponding weight factor. The weight factor of the scenario leakage hazard index and the weight factor of the volatility hazard index are set by the staff. The weight factor of the scenario leakage hazard index and the weight factor of the volatility hazard index are both greater than zero, and the sum of the weight factor of the scenario leakage hazard index and the weight factor of the volatility hazard index are both greater than zero and equal to one. For example, the weight factor of the scenario leakage hazard index is 0.44 and the weight factor of the volatility hazard index is 0.56, both of which are greater than zero.

[0078] The database is used to store the maximum contamination distance of organic compounds, the maximum leakage distance, the trend item correction parameters corresponding to each curve slope, the leakage trend item correction parameter interval corresponding to each leakage hazard level, the maximum volatilization distance, the volatilization trend item correction parameter interval corresponding to each volatilization hazard level, the leakage node historical data, the leakage hazard level historical data, the volatilization hazard level historical data and the transportation risk index interval of each detection interval.

[0079] according to Figure 2 As shown, the present invention provides a volatile organic compound leakage detection method, comprising the following steps: Step 1, leakage detection: collecting compound concentration data of each pipeline monitoring point of the target pipeline node, analyzing whether the volatile organic compound is leaking, if the volatile organic compound is leaking, analyzing to obtain the leakage node, collecting compound concentration change data of the leakage node, analyzing to obtain the leakage risk level of the leakage node, issuing an early warning, and simultaneously performing volatile detection on the leakage node.

[0080] Step 2: Volatility detection: Collect compound concentration data from the leakage node warning monitoring point and analyze whether volatile organic compounds have leaked and volatilized. If volatile organic compounds have leaked and volatilized, issue an early warning. At the same time, collect compound concentration change data from the leakage node warning monitoring point and analyze to obtain the volatility hazard level.

[0081] Step 3. Transportation limitation: According to the historical data of leakage nodes and leakage hazard levels in the database, set up a standard transportation plan for volatile organic compounds. Based on the standard transportation data of the compounds, simulate various abnormal transportation scenarios of the compounds. According to the historical data of volatile hazard levels in the database, set up leakage detection plans for various abnormal transportation scenarios of the compounds.

[0082] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments 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 in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A volatile organic compound leak detection system, characterized in that: Includes the following modules: The leakage detection module is used to collect compound concentration data at each pipeline monitoring point of the target pipeline node and analyze whether volatile organic compounds are leaking. If volatile organic compounds are leaking, the leakage node is analyzed and an early warning is issued. Then, volatile detection is performed on the leakage node. At the same time, the compound concentration change data of the leakage node is collected and analyzed to obtain the leakage risk level of the leakage node; The volatility detection module is used to collect compound concentration data at the leakage node warning monitoring point, analyze whether volatile organic compounds have leaked and volatilized, and issue an early warning if volatile organic compounds have leaked and volatilized. At the same time, it collects compound concentration change data at the leakage node warning monitoring point and analyzes it to obtain the volatility hazard level; The transport limitation module is used to set a standard transport plan for volatile organic compounds based on the historical data of leakage nodes and leakage hazard levels in the database. Based on the standard transport data of the compounds, various abnormal transport scenarios of the compounds are simulated. Based on the historical data of volatile hazard levels in the database, leakage detection plans for various abnormal transport scenarios of the compounds are set; The standard transportation plan for volatile organic compounds is set up in the following specific setting process: the leakage node history data in the database includes the number of leakage warnings for each temperature, the number of leakage warnings for each pressure, and the number of leakage warnings for each flow rate; the leakage hazard level history data in the database includes the average leakage hazard level for each temperature, the maximum leakage hazard level for each temperature, the average leakage hazard level for each pressure, the maximum leakage hazard level for each pressure, the maximum leakage hazard level for each flow rate, and the average leakage hazard level for each flow rate; Substitute the number of leakage warnings, the average leakage hazard level and the maximum leakage hazard level at each temperature into the hazard index calculation formula to obtain the temperature hazard index at each temperature; substitute the number of leakage warnings, the average leakage hazard level and the maximum leakage hazard level at each pressure into the hazard index calculation formula to obtain the pressure hazard index at each pressure; substitute the number of leakage warnings, the average leakage hazard level and the maximum leakage hazard level at each flow rate into the hazard index calculation formula to obtain the flow rate hazard index at each flow rate; the maximum temperature at which the temperature hazard index is less than the standard temperature hazard index is recorded as the standard temperature; the minimum pressure at which the pressure hazard index is less than the standard pressure hazard index is recorded as the standard pressure; the maximum flow rate at which the flow rate hazard index is less than the standard flow rate hazard index is recorded as the standard flow rate; the standard transportation plan is: when the temperature of the organic matter is less than the standard temperature and the pipeline pressure is less than the standard pressure, the organic matter is transported at the standard flow rate; The specific simulation process of various abnormal transportation scenarios of the simulated compound is as follows: setting each transportation scenario, and then obtaining the temperature, pressure and flow rate of each transportation scenario, performing weighted calculation on the temperature danger index corresponding to the temperature of each transportation scenario, the pressure danger index corresponding to the pressure, and the flow rate danger index corresponding to the flow rate of each transportation scenario to obtain the scenario leakage danger index of each transportation scenario, and recording each transportation scenario with a scenario leakage danger index greater than a preset standard scenario leakage danger index as a various dangerous transportation scenarios; The historical data of volatility hazard levels in the database include the average volatility hazard level at each temperature, the maximum volatility hazard level at each temperature, the maximum volatility hazard level at each flow rate, and the average volatility hazard level at each flow rate. The average leakage hazard level, the maximum leakage hazard level, the average volatility hazard level, and the maximum volatility hazard level at each temperature are substituted into the temperature volatility index calculation formula to obtain the temperature volatility index at each temperature. The average leakage hazard level, the maximum leakage hazard level, the average volatility hazard level, and the maximum volatility hazard level at each flow rate are substituted into the flow rate volatility index calculation formula to obtain the flow rate volatility index at each flow rate. The temperature volatility index corresponding to the temperature of each dangerous transportation scenario and the flow velocity volatility index corresponding to the flow velocity are weighted to obtain the volatility risk index of each dangerous transportation scenario. The dangerous transportation scenarios with a volatility risk index less than the preset standard volatility risk index are recorded as various abnormal transportation scenarios. The leakage detection scheme for various abnormal transportation scenarios of the compound is set up, and the specific setting process is as follows: the scenario leakage hazard index and volatility hazard index of each abnormal transportation scenario are weightedly calculated to obtain the transportation risk index of each abnormal transportation scenario, and the transportation risk index range of each detection interval is obtained from the database. If the transportation risk index of a certain type of abnormal transportation scenario belongs to the transportation risk index range of a certain detection interval, it indicates that the abnormal transportation scenario is the detection interval, so as to obtain the detection interval corresponding to each abnormal transportation scenario, and then obtain the leakage detection scheme for various abnormal transportation scenarios of the compound: detection is performed according to the corresponding detection interval.

2. A volatile organic compound leakage detection system according to claim 1, characterized in that: The specific analysis process for analyzing whether volatile organic compounds are leaking is as follows: The compound concentration data of each pipeline monitoring point includes the compound concentration of the pipeline outside the pipeline at each pipeline detection point, the concentration difference between the inner and outer pipelines, the humidity of the outer pipeline, and the humidity difference between the inner and outer pipelines. The compound concentration data of each pipeline monitoring point is substituted into the leakage judgment index calculation formula to obtain the leakage judgment index of each pipeline detection point. Each pipeline detection point with a leakage judgment index greater than the benchmark leakage judgment index is recorded as a low-concentration leakage point, and each low-concentration leakage point with a leakage judgment index greater than the standard leakage judgment index is recorded as a high-concentration leakage point. If a pipeline detection point is a high-concentration leakage point and the number of low-concentration leakage points in the preset affected area near the high-concentration leakage point is greater than the preset number of basic leakage points, the pipeline detection point will be recorded as a leakage node. If all pipeline detection points in a group of continuous pipeline detection points are low-concentration leakage points, the pipeline detection point with the largest leakage judgment index in the group of continuous pipeline detection points will be selected as the leakage node. When a leakage node appears, it indicates that there is currently a compound leakage and an alarm will be issued.

3. A volatile organic compound leakage detection system according to claim 2, characterized in that: The analysis obtains the leakage risk level of the leakage node. The specific analysis process is as follows: The compound concentration change data of the leakage node includes the concentration and humidity collected at each associated monitoring point of the leakage node; The concentration and humidity collected at each associated monitoring point are fitted into a graph according to the time coordinate, the slope of the curve is obtained from the graph, and the concentration leakage time trend item correction parameter and the humidity leakage time trend item correction parameter of each associated monitoring point are obtained according to the trend item correction parameter corresponding to each curve slope in the database; The concentration and humidity data collected at each associated monitoring point of the leakage node are fitted according to the displacement distance coordinates with the leakage node to obtain the concentration leakage spatial trend item correction parameters and humidity leakage spatial trend item correction parameters of each associated monitoring point; Substitute the leakage concentration time trend item correction parameters, leakage humidity time trend item correction parameters, leakage concentration spatial trend item correction parameters and leakage humidity spatial trend item correction parameters of each associated monitoring point into the leakage trend item correction parameter calculation formula to obtain the leakage trend item correction parameters of each associated monitoring point. Obtain the leakage trend item correction parameter interval corresponding to each leakage hazard level from the database to obtain the leakage hazard level of each associated monitoring point of the leakage node, and select the maximum leakage hazard level of each associated monitoring point as the leakage hazard level of the leakage node.

4. The volatile organic compound leakage detection system according to claim 1, characterized in that: The specific analysis process for analyzing whether volatile organic compounds are leaking and volatilizing is as follows: The compound concentration data of the leakage node warning monitoring points include the soil gas compound concentration of each warning soil monitoring point of the leakage node, the soil gas compound concentration ratio of each warning soil monitoring point, the dissolved compound concentration of each warning groundwater monitoring point, the conductivity of each warning groundwater monitoring point, the near-ground compound concentration of each warning air monitoring point, and the air compound concentration ratio of each warning air monitoring point; A weight factor is set according to the distance between each early warning soil monitoring point and the leakage node, and the weighted mean of the soil gas compound concentration and the soil gas compound concentration ratio of each early warning soil monitoring point at the leakage node is calculated to obtain the soil gas compound concentration and the soil gas compound concentration ratio of the leakage node. Similarly, the dissolved compound concentration of each early warning groundwater monitoring point at the leakage node, the conductivity of each early warning groundwater monitoring point, the near-ground compound concentration of each early warning air monitoring point, and the air compound concentration ratio of each early warning air monitoring point are analyzed to obtain the dissolved compound concentration, conductivity, near-ground compound concentration, and air compound concentration ratio of the leakage node; The soil gas compound concentration, soil gas compound concentration ratio, dissolved compound concentration, electrical conductivity, near-ground compound concentration, and air compound concentration ratio of the leakage node are substituted into the volatility judgment index calculation formula to obtain the volatility judgment index of the leakage node. If the volatility judgment index of the leakage node is greater than the preset volatility judgment index, it indicates that the current organic compound volatilization is leaking and an early warning is issued.

5. A volatile organic compound leakage detection system according to claim 4, characterized in that: The analysis results in the volatility hazard level, and the specific analysis process is as follows: The compound concentration change data of the leakage node early warning monitoring point include the soil gas compound concentration of each early warning soil monitoring point, the soil gas compound concentration ratio of each early warning soil monitoring point, the dissolved compound concentration of each early warning groundwater monitoring point, the conductivity of each early warning groundwater monitoring point, the near-ground compound concentration of each early warning air monitoring point, and the air compound concentration ratio of each early warning air monitoring point. Based on the analysis process of the concentration and humidity data collected at each associated monitoring point of the leakage node, the soil gas compound concentration and soil gas compound concentration ratio of each early warning soil monitoring point collected at each leakage node are analyzed to obtain the volatilization trend item correction parameter of each early warning soil monitoring point. A weight factor is set for each early warning soil monitoring point according to its distance from the leakage node. The volatilization trend item correction parameter of each early warning soil monitoring point is calculated by weighted mean to obtain the soil volatilization trend item correction parameter of the leakage node; Similarly, the dissolved compound concentration and conductivity of each early warning groundwater monitoring point collected at each leakage node are analyzed to obtain the groundwater volatilization trend item correction parameter of the leakage node. The near-ground compound concentration and air compound concentration ratio of each early warning air monitoring point collected at each leakage node are analyzed to obtain the air volatilization trend item correction parameter of the leakage node. The soil volatilization trend item correction parameters, groundwater volatilization trend item correction parameters and air volatilization trend item correction parameters of the leakage node are weightedly calculated according to the corresponding weight factors to obtain the volatilization trend item correction parameters of the leakage node. The volatilization trend item correction parameter intervals corresponding to each volatilization hazard level are obtained from the database. If the volatilization trend item correction parameter of the leakage node belongs to the volatilization trend item correction parameter interval corresponding to a certain volatilization hazard level, it indicates that the leakage node is of that volatilization hazard level. If the volatilization hazard level of the leakage node is greater than the preset volatilization hazard level, an early warning prompt is issued.

6. The volatile organic compound leakage detection system according to claim 1, characterized in that: It also includes a database for storing historical data of leakage nodes, historical data of leakage hazard levels, historical data of volatility hazard levels, trend item correction parameters corresponding to the slopes of each curve, leakage trend item correction parameter intervals corresponding to each leakage hazard level, volatility trend item correction parameter intervals corresponding to each volatility hazard level, and transportation risk index intervals for each detection interval.

7. A method for detecting volatile organic compound leakage using the volatile organic compound leakage detection system according to any one of claims 1 to 6, characterized in that: The steps include: Step 1: Leak detection: Collect compound concentration data from each pipeline monitoring point at the target pipeline node and analyze whether volatile organic compounds are leaking. If volatile organic compounds are leaking, analyze and identify the leaking node. Collect compound concentration change data at the leaking node and analyze the leak hazard level of the leaking node to issue an early warning. At the same time, perform volatile detection on the leaking node. Step 2: Volatility detection: Collect compound concentration data from the leakage node warning monitoring point and analyze whether volatile organic compounds have leaked and volatilized. If volatile organic compounds have leaked and volatilized, issue an early warning. At the same time, collect compound concentration change data from the leakage node warning monitoring point and analyze it to obtain the volatility hazard level. Step 3. Transportation limitation: According to the historical data of leakage nodes and leakage hazard levels in the database, set up a standard transportation plan for volatile organic compounds. Based on the standard transportation data of the compounds, simulate various abnormal transportation scenarios of the compounds. According to the historical data of volatile hazard levels in the database, set up leakage detection plans for various abnormal transportation scenarios of the compounds.

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