Volatile organic compound leakage detection system and method

Abstract

The invention discloses a leakage detection system and method for volatile organic compounds, and relates to the technical field of leakage detection.The system comprises a leakage detection module, a volatilization detection module and a transportation limiting module.The method comprises the steps that firstly, a leakage judgment index model is built based on multiple parameters; dynamically evaluating a leakage node danger level by combining a space-time trend term correction algorithm; secondly, through multi-medium monitoring data fusion, a volatilization judgment index and multi-medium collaborative trend analysis model is established, and the leakage diffusion risk is early warned in real time; finally, a standard transportation scheme is made based on three-dimensional data of the temperature, the pressure intensity and the flow speed, differential detection intervals are intelligently set through abnormal scene simulation, the leakage positioning precision is improved, dynamic transportation risk assessment is carried out, an abnormal scene detection strategy is optimized, the timeliness and accuracy of volatile organic compound leakage detection are remarkably improved, and the detection efficiency is improved. And meanwhile, the applicability of the detection system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of leak detection, and more particularly to a leak 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. As an important way for the transportation of organic compounds, pipeline leakage problems not only cause waste of resources, but also pose a serious threat to the ecological environment and human health. Therefore, a leak detection system and method for volatile organic compounds are needed.

[0003] The prior art, such as the patent application of the invention 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. The system is used to minimize pollution by pre-real-time detecting the diffusion of pollution in soil and groundwater and allowing for a quick response. The pollution comes from environmental accidents caused by leakage of oil, oil spills, etc. from the ground and underground storage tanks of the facility to be monitored, and the facility to be monitored is for oil and harmful chemical substances including volatile organic compounds (VOCs). The system includes: monitoring wells, which are arranged near the facility to be monitored and are used to collect volatile organic compounds (VOCs) leaked from the facility to be monitored; a gas sensor module, which is arranged inside the monitoring well and is used to detect volatile organic compounds (VOCs) and measure the concentration; a communication module, which is used to wirelessly transmit the 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] Regarding the above solution, there are the following technical problems: 1. The above solution only realizes the leak detection function and lacks the detection of organic matter volatilization after leakage. Volatile organic compounds will cause secondary pollution after leakage. The above solution has no monitoring ability for the volatilization of organic matter and does not fully analyze the dangerous data of organic compounds, reducing the effectiveness and comprehensiveness of the data.

[0005] 2. The above solution only sets a fixed concentration threshold and does not analyze the leakage trend based on the changing data of the concentration. It lacks an adaptive early warning mechanism for correcting parameters based on dynamic trends and has no predictive analysis of the data, making it impossible to stop the leakage of organic compounds in time. There is a safety management blind spot in the transportation scenario, reducing the effectiveness of detection and the safety of transportation.

[0006] 3. The above solution does not establish an association analysis between transportation parameters and leakage risks, making it impossible to achieve active control during the transportation process, reducing the practicality of the detection system. At the same time, the above solution does not set a detection interval, unable to link transportation parameters with the detection interval duration, not deeply mining abnormal data, unable to fully utilize the data, reducing the effectiveness of data analysis. Also, without dynamically programming the detection interval, it increases the detection cost. Summary of the Invention

[0007] Aiming at the above-mentioned existing technical deficiencies, the purpose of the present invention is to provide a leakage detection system and method for volatile organic compounds.

[0008] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a leakage detection system for volatile organic compounds, including the following modules: A leakage detection module, which is used to collect the compound concentration data of each pipeline monitoring point of the target pipeline node, analyze whether the volatile organic compound leaks. If the volatile organic compound leaks, analyze to obtain the leakage node, give an alarm, and then conduct a volatilization detection on the leakage node. At the same time, collect the compound concentration change data of the leakage node, and analyze to obtain the leakage risk level of the leakage node.

[0009] A volatilization detection module, which is used to collect the compound concentration data of the warning monitoring point of the leakage node, analyze whether the volatile organic compound leaks and volatilizes. If the volatile organic compound leaks and volatilizes, give an alarm. At the same time, collect the compound concentration change data of the warning monitoring point of the leakage node, and analyze to obtain the volatilization risk level.

[0010] A transportation limitation module, which is used to set a standard transportation plan for volatile organic compounds according to the historical data of leakage nodes and the historical data of leakage risk levels in the database. Based on the standard transportation data of the compound, simulate various abnormal transportation scenarios of the compound, and set leakage detection plans for various abnormal transportation scenarios of the compound according to the historical data of volatilization risk levels in the database.

[0011] Preferably, the specific analysis process for analyzing the leakage risk level of the leakage node 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 each time.

[0012] Fit the concentration and humidity collected at each associated monitoring point each time according to the time coordinate to obtain the curves of the concentration and humidity of each associated monitoring point changing with time. Through image recognition technology, obtain the current concentration curve slope and the current temperature curve slope of each associated monitoring point within a preset duration in the past. Obtain the trend item correction parameters corresponding to each curve slope from the database, so as to obtain the concentration leakage time trend item correction parameter and the humidity leakage time trend item correction parameter of each associated monitoring point.

[0013] The concentrations and humidities collected at each associated monitoring point of the leakage node for each collection are fitted according to the displacement distance coordinates from the leakage node, obtaining curves of the concentrations and humidities of each associated monitoring point changing with the displacement distance for each collection. The slope of the concentration-distance curve and the slope of the temperature-distance curve of each associated monitoring point for each collection are obtained from the curves. The average values of the slopes of the concentration-distance curves and the slopes of the temperature-distance curves of each associated monitoring point for each collection are calculated, obtaining the average slope of the concentration-distance curve and the average slope of the temperature-distance curve of each associated monitoring point, and further obtaining the correction parameters for the concentration leakage spatial trend term and the correction parameters for the humidity leakage spatial trend term of each associated monitoring point.

[0014] The correction parameters for the leakage concentration time trend term, the correction parameters for the leakage humidity time trend term, the correction parameters for the leakage concentration spatial trend term, and the correction parameters for the leakage humidity spatial trend term of each associated monitoring point are substituted into the leakage trend term correction parameter calculation formula to obtain the leakage trend term correction parameters of each associated monitoring point. The leakage trend term correction parameter intervals corresponding to each leakage hazard level are obtained from the database. If the leakage trend term correction parameter of a certain associated detection point belongs to the leakage trend term correction parameter interval corresponding to a certain leakage hazard level, it indicates that this associated detection point is of this leakage hazard level. In this way, the leakage hazard levels of each associated monitoring point of the leakage node are obtained, and the maximum leakage hazard level among the selected associated monitoring points is taken as the leakage hazard level of the leakage node.

[0015] On the other hand, the present invention provides a method for detecting the leakage of volatile organic compounds, including the following steps: Step 1, leakage detection: Collect the compound concentration data of each pipeline monitoring point of the target pipeline node, analyze whether the volatile organic compound leaks. If the volatile organic compound leaks, analyze to obtain the leakage node, collect the compound concentration change data of the leakage node, analyze to obtain the leakage hazard level of the leakage node, issue an alarm, and at the same time conduct a volatilization detection on the leakage node.

[0016] Step 2, volatilization detection: Collect the compound concentration data of the early warning monitoring point of the leakage node, analyze whether the volatile organic compound leaks and volatilizes. If the volatile organic compound leaks and volatilizes, issue an alarm, and at the same time collect the compound concentration change data of the early warning monitoring point of the leakage node, analyze to obtain the volatilization hazard level.

[0017] Step 3, transportation limitation: According to the historical data of the leakage node and the historical data of the leakage hazard level in the database, set the standard transportation plan for the volatile organic compound. Taking the standard transportation data of the compound as the benchmark, simulate various abnormal transportation scenarios of the compound. According to the historical data of the volatilization hazard level in the database, set the leakage detection plan for various abnormal transportation scenarios of the compound.

[0018] The beneficial effects of the present invention are as follows: 1. First, the present invention constructs a leakage judgment index model based on multiple parameters, and combines a spatio-temporal trend term correction algorithm to dynamically evaluate the risk level of leakage nodes. Secondly, through the fusion of multi-media monitoring data, a volatilization judgment index and a multi-media collaborative trend analysis model are established to real-time warn of the risk of leakage diffusion. Finally, a standard transportation plan is formulated based on three-dimensional data of temperature, pressure, and flow rate, and the differential detection interval is intelligently set through abnormal scenario simulation. The present invention improves the leakage positioning accuracy, conducts dynamic transportation risk assessment, optimizes 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 comprehensively integrating multi-dimensional data such as the concentration difference, temperature difference, pressure difference, and humidity difference inside and outside the pipeline, significantly reducing the false alarm rate, improving the accuracy of leakage identification, further distinguishing low-concentration and high-concentration leakage points, and dynamically evaluating by combining time trend and space trend, improving the refinement of leakage risk analysis.

[0020] 3. The present invention conducts volatilization detection at three levels of soil, groundwater, and air, analyzes the volatilization data of organic compounds, and conducts volatile early warning through dynamic data, reducing the impact of secondary pollution caused by the volatilization of organic compounds, improving the preventive control effect during transportation, and increasing the sensitivity of early warning.

[0021] 4. The present invention generates dynamic transportation standards by fitting historical data, improving the utilization rate of data, increasing the safety of subsequent transportation. At the same time, detection schemes for various abnormal scenarios are set, increasing the detection sensitivity for abnormal scenario transportation. During the transportation in 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 transportation in abnormal scenarios and increasing the safety of transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

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

[0024] Figure 2 It is a schematic diagram of the implementation step process of the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0026] According to Figure 1 As shown, the present invention provides a leakage detection system for volatile organic compounds, including the following modules: a leakage detection module, a volatilization detection module, a transportation limitation module, and a database.

[0027] The volatilization detection module is respectively connected to the leakage detection module and the transportation limitation module, and the leakage detection module, the volatilization detection module, and the transportation limitation module are all connected to the database.

[0028] The leakage detection module is used to collect the compound concentration data of each pipeline monitoring point of the target pipeline node, analyze whether the volatile organic compound leaks. If the volatile organic compound leaks, the leakage node is analyzed and a warning is issued. Then, the volatilization detection of the leakage node is carried out, and at the same time, the compound concentration change data of the leakage node is collected, and the leakage risk level of the leakage node is analyzed.

[0029] In a specific embodiment, the process of collecting the compound concentration data of each pipeline monitoring point of the target pipeline node is as follows: The compound concentration data of each pipeline monitoring point includes the compound concentration outside the pipeline at each pipeline detection point, the concentration difference between the inside and outside pipelines, the humidity outside the pipeline, and the humidity difference between the inside and outside pipelines. The organic compound concentration is collected by a semiconductor sensor to obtain the compound concentration outside the pipeline and the concentration inside the pipeline at each pipeline detection point. Subtracting the compound concentration outside the pipeline from the compound concentration inside the pipeline at each pipeline detection point, the concentration difference between the inside and outside pipelines at each pipeline detection point is obtained. The gas humidity is collected by a humidity sensor to obtain the humidity outside the pipeline and the humidity inside the pipeline at each pipeline detection point. Subtracting the humidity outside the pipeline from the humidity inside the pipeline at each pipeline detection point, the humidity difference between the inside and outside pipelines at each pipeline detection point is obtained.

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

[0031] In a specific embodiment, the process of analyzing whether the volatile organic compound leaks is as follows: Substitute the compound concentration outside the pipeline, the concentration difference between the inside and outside pipelines, the humidity outside the pipeline, and the humidity difference between the inside and outside pipelines at each pipeline detection point into the leakage judgment index calculation formula to obtain the leakage judgment index of each pipeline detection point. Mark the pipeline detection points with a leakage judgment index greater than the reference leakage judgment index as each low-concentration leakage point, and mark the low-concentration leakage points with a leakage judgment index greater than the standard leakage judgment index as each high-concentration leakage point.

[0032] It should be noted that the leakage judgment index calculation formula is as follows: , where is the leakage judgment index of pipeline detection point a, a is the number of the pipeline detection point, and the value of a is a positive integer. , , and are respectively the outer pipeline compound concentration, the inner and outer pipeline concentration difference, the outer pipeline humidity, and the inner and outer pipeline humidity difference of pipeline detection point a. , , and are respectively the standard outer pipeline compound concentration, the standard inner and outer pipeline concentration difference, the standard outer pipeline humidity, and the standard inner and outer pipeline humidity difference. and are respectively the preset weight factor of concentration and the weight factor of humidity. , , .

[0033] Standard parameters , , and are the thresholds of the outer pipeline compound concentration, the inner and outer pipeline concentration difference, the outer pipeline humidity, and the inner and outer pipeline humidity difference of the transportation pipeline during normal transportation. When the collected data is greater than the corresponding standard parameters, it indicates that a leakage failure may occur currently. The specific values are set by the staff. For example, is 1.3, is 0.7, is 1.5 and is 0.6. The weight factors and are related to the volatility of the compound. The greater the volatility, the greater it is, and the smaller the volatility, the greater it is. The specific values are set by the staff. For example, 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 within the preset affected area near the high-concentration leakage point is greater than the preset basic leakage point number, mark this pipeline detection point as a leakage node. If all the pipeline detection points in a group of consecutive pipeline detection points are low-concentration leakage points, it indicates that there is a leakage in this group of pipeline detection points. Select the pipeline detection point with the largest leakage judgment index in this group of pipeline detection points as the leakage node, and conduct leakage node determination in this way. When the determination result shows a leakage node, it indicates that there is a compound leakage currently, and an alarm is issued.

[0035] It should be noted that a set 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 as follows: Taking the high-concentration leakage point as the center and the maximum pollution distance of the organic compound in the database as the radius to draw a circle, and the obtained area is recorded as the preset affected area corresponding to the high-concentration leakage point.

[0036] In a specific embodiment, the process of collecting the compound concentration change data of the leakage node 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. According to the preset detection interval duration, the concentration and humidity collected each time at each associated monitoring point of the leakage node are collected, so as to obtain the concentration and humidity collected each time at each associated monitoring point of the leakage node.

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

[0038] In a specific embodiment, the process of analyzing and obtaining the leakage risk level of the leakage node 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. The concentration and humidity collected each time at each associated monitoring point are fitted according to the time coordinate to obtain the curves of the concentration and humidity of each associated monitoring point changing with time. Through image recognition technology, the current concentration curve slope and the current temperature curve slope of each associated monitoring point in the past preset duration are obtained, 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 parameter and the humidity leakage time trend item correction parameter of each associated monitoring point.

[0039] The concentration and humidity collected each time at each associated monitoring point of the leakage node are fitted according to the displacement distance coordinate from the leakage node to obtain the curves of the concentration and humidity of each associated monitoring point changing with the displacement distance for each collection. The concentration distance curve slope and the temperature distance curve slope of each associated monitoring point for each collection are obtained from the curves, and the mean values of the concentration distance curve slope and the temperature distance curve slope of each associated monitoring point for each collection are calculated to obtain the average concentration distance curve slope and the average temperature distance curve slope of each associated monitoring point, and further obtain the concentration leakage space trend item correction parameter and the humidity leakage space trend item correction parameter of each associated monitoring point.

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

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

[0042] Weight factor and are related to the difficulty of organic pollution treatment. The higher the difficulty of organic pollution treatment, the larger it is. The lower the difficulty of organic pollution treatment, the larger it is. The specific values are set by the staff. For example, is 0.45 and is 0.55.

[0043] The volatilization detection module is used to collect the compound concentration data of the warning monitoring points of the leakage node, analyze whether the volatile organic compounds leak and volatilize. If the volatile organic compounds leak and volatilize, give an alarm. At the same time, collect the compound concentration change data of the warning monitoring points of the leakage node and analyze to obtain the volatilization risk level.

[0044] In a specific embodiment, the process of collecting the compound concentration data of the leakage node warning monitoring points is as follows: The compound concentration data of the leakage node warning monitoring points includes the soil gas compound concentrations of each warning soil monitoring point of the leakage node, the soil gas compound concentration ratios of each warning soil monitoring point, the dissolved compound concentrations of each warning groundwater monitoring point, the conductivity of each warning groundwater monitoring point, the near-surface compound concentrations of each warning air monitoring point, and the air compound concentration ratios of each warning air monitoring point.

[0045] It should be noted that the process of setting the warning monitoring points: Taking the leakage node as the center and the maximum volatilization distance in the database as the radius to draw a circle, the area within the circle is the warning area. Each soil monitoring point within the warning area is recorded as each warning soil monitoring point, each groundwater monitoring point within the warning area is recorded as each warning groundwater monitoring point, each air monitoring point within the warning area is recorded as each warning air monitoring point, and the positions 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 collected by a portable mass spectrometer. Dividing the soil gas compound concentration by the soil compound concentration to obtain the soil gas compound concentration ratio, thereby obtaining the soil gas compound concentrations and soil gas compound concentration ratios of each warning soil monitoring point of the leakage node.

[0047] The compound concentration and conductivity in water are collected by an electrochemical sensor monitor and a conductivity meter, thereby obtaining the dissolved compound concentrations and conductivities of each warning groundwater monitoring point of the leakage node.

[0048] The compound concentration in the air is collected by air samplers at different heights of the monitoring points, thereby obtaining the near-surface compound concentration and the high-altitude compound concentration. Dividing the near-surface compound concentration by the high-altitude compound concentration to obtain the air compound concentration ratio, thereby obtaining the near-surface compound concentrations and air compound concentration ratios of each warning air monitoring point of the leakage node.

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

[0050] In a specific embodiment, the analysis of whether volatile organic compounds leak and volatilize is as follows: Weight factors are set according to the distances between each early warning soil monitoring point and the leakage node, and the weighted mean values of the soil gas compound concentrations and soil gas compound concentration ratios at each early warning soil monitoring point of the leakage node are calculated to obtain the soil gas compound concentration and soil gas compound concentration ratio of the leakage node. Similarly, according to the analysis process of the soil gas compound concentrations and soil gas compound concentration ratios at each early warning soil monitoring point of the leakage node, the dissolved compound concentrations at each early warning groundwater monitoring point of the leakage node, the conductivity of each early warning groundwater monitoring point, the near-surface compound concentrations at each early warning air monitoring point, and the air compound concentration ratios at each early warning air monitoring point are analyzed to obtain the dissolved compound concentration, conductivity, near-surface compound concentration, and air compound concentration ratio of the leakage node.

[0051] Substitute 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 into the volatile judgment index calculation formula to obtain the volatile judgment index of the leakage node. If the volatile judgment index of the leakage node is greater than the preset volatile judgment index, it indicates that the current organic compound volatilizes and leaks, and a warning is issued.

[0052] It should be noted that the volatile judgment index calculation formula is: , where , , , , 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 respectively, , , , , and are the preset standard soil gas compound concentration, standard soil gas compound concentration ratio, standard dissolved compound concentration, standard conductivity, standard near-surface compound concentration, and standard air compound concentration ratio respectively, , and are the preset weight factors for soil detection, groundwater detection, and air detection respectively, , , , .

[0053] Standard parameters , , , , and are the thresholds of soil gas compound concentration, soil gas compound concentration ratio, dissolved compound concentration, conductivity, near-surface 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 degree is deepening. The specific values are set by the staff. For example is 0.16, is 0.17, is 0.15, is 0.42, is 0.17 and is 0.65. The weighting factors , and are set by the staff. For example is 0.4, is 0.2 and is 0.4.

[0054] In a specific embodiment, the compound concentration change data of the acquisition leakage node warning monitoring points is collected as follows: The compound concentration change data of the leakage node warning monitoring points includes the soil gas compound concentration of each warning soil monitoring point collected each time at 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-surface compound concentration of each warning air monitoring point, and the air compound concentration ratio of each warning air monitoring point.

[0055] According to the preset detection interval duration, collect the soil gas compound concentration of each warning soil monitoring point collected each time, 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-surface compound concentration of each warning air monitoring point, and the air compound concentration ratio of each warning air monitoring point.

[0056] In a specific embodiment, the analysis to obtain the volatilization hazard level 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, analyze the soil gas compound concentration and soil gas compound concentration ratio of each warning soil monitoring point collected each time at the leakage node to obtain the volatilization trend item correction parameters of each warning soil monitoring point. Set the weighting factors for each warning soil monitoring point according to the distance from the leakage node, and calculate the weighted mean of the volatilization trend item correction parameters of each warning soil monitoring point to obtain the soil volatilization trend item correction parameter of the leakage node.

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

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

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

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

[0061] The transportation limitation module is used to set the standard transportation plan for volatile organic compounds according to the historical data of leakage nodes and the historical data of leakage hazard levels in the database. Based on the standard transportation data of the compound, various abnormal transportation scenarios of the compound are simulated, and the leakage detection plan for various abnormal transportation scenarios of the compound is set according to the historical data of volatilization hazard levels in the database.

[0062] In a specific embodiment, the setting process of the standard transportation plan for volatile organic compounds is as follows: The historical data of leakage nodes in the database includes the number of leakage warnings at each temperature, the number of leakage warnings at each pressure, and the number of leakage warnings at each flow rate. The historical data of leakage risk levels in the database includes the average leakage risk level at each temperature, the maximum leakage risk level at each temperature, the average leakage risk level at each pressure, the maximum leakage risk level at each pressure, the maximum leakage risk level at each flow rate, and the average leakage risk level at each flow rate.

[0063] Substitute the number of leakage warnings, average leakage risk level, and maximum leakage risk level at each temperature into the risk index calculation formula to obtain the temperature risk index at each temperature. Substitute the number of leakage warnings, average leakage risk level, and maximum leakage risk level at each pressure into the risk index calculation formula to obtain the pressure risk index at each pressure. Substitute the number of leakage warnings, average leakage risk level, and maximum leakage risk level at each flow rate into the risk index calculation formula to obtain the flow rate risk index at each flow rate. Denote the maximum temperature with a temperature risk index less than the standard temperature risk index as the standard temperature, the minimum pressure with a pressure risk index less than the standard pressure risk index as the standard pressure, and the maximum flow rate with a flow rate risk index less than the standard flow rate risk index 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 risk index calculation formula includes a temperature-related risk index calculation formula, a pressure-related risk index calculation formula, and a flow rate-related risk index calculation formula. The temperature-related risk index calculation formula is: , the pressure-related risk index calculation formula is: , the flow rate-related risk index calculation formula is: , where is the temperature risk index of temperature i, i is the number of each temperature, and the value of i is a positive integer. is the pressure risk index of pressure e, e is the number of each pressure intensity, and the value of e is a positive integer. is the flow rate risk index of flow rate v, v is the number of each flow rate, and the value of v is a positive integer. , and are respectively the number of leakage warnings, average leakage risk level, and maximum leakage risk level of temperature i. , and are respectively the number of leakage warnings, average leakage risk level, and maximum leakage risk level of pressure p. , and are the number of leakage warnings, the average leakage risk level, and the maximum leakage risk level for the flow rate v, respectively, and are the preset standard number of leakage warnings and the standard leakage risk level, respectively, and are the weight factors for the preset average leakage risk level and the maximum leakage risk level, respectively, , , 。

[0065] Standard parameters and are the thresholds for the number of leakage warnings and 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 factors and are set by the staff. For example is 0.35 and is 0.65.

[0066] In a specific embodiment, the various abnormal transportation scenarios of the simulated compound are specifically simulated as follows: Set each transportation scenario, and then obtain the temperature, pressure, and flow rate of each transportation scenario. Perform a weighted calculation on the temperature risk index corresponding to the temperature of each transportation scenario, the pressure risk index corresponding to the pressure, and the flow rate risk index corresponding to the flow rate to obtain the scenario leakage risk index of each transportation scenario. Record the transportation scenarios with a scenario leakage risk index greater than the preset standard scenario leakage risk index as various dangerous transportation scenarios.

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

[0068] LEL is the lowest explosion concentration of a combustible gas in air.

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

[0070] The historical data of the volatilization hazard level of the database includes the average volatilization hazard level at each temperature, the maximum volatilization hazard level at each temperature, the maximum volatilization hazard level at each flow rate, and the average volatilization hazard level at each flow rate. Substitute the average leakage hazard level, the maximum leakage hazard level, the average volatilization hazard level, and the maximum volatilization hazard level at each temperature into the temperature volatilization index calculation formula to obtain the temperature volatilization index at each temperature. Substitute the average leakage hazard level, the maximum leakage hazard level, the average volatilization hazard level, and the maximum volatilization hazard level at each flow rate into the flow rate volatilization index calculation formula to obtain the flow rate volatilization index at each flow rate.

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

[0072] Standard parameter is the volatilization hazard level threshold for normal leakage faults. When the volatilization hazard level of the preset leakage scenario is greater than , it indicates that secondary pollution caused by volatilization is more likely to occur in the preset leakage scenario. The specific value is set by the staff. For example, is 0.45, and the setting process of the weight factors and is related to the volatilization failure rate in leakage faults. The greater the volatilization failure rate in leakage faults, the greater , and the smaller the volatilization failure rate in leakage faults, the greater . The specific value is set by the staff. For example, is 0.64 and is 0.36.

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

[0074] Perform weighted calculation on the temperature volatility index corresponding to the temperature of various hazardous transportation scenarios and the flow rate volatility index corresponding to the flow rate to obtain the volatility risk index of various hazardous transportation scenarios. Mark the various hazardous transportation scenarios with a volatility index less than the preset standard volatility index as various abnormal transportation scenarios.

[0075] It should be noted that the process of weighted calculation of the volatility index is as follows: the product of the temperature volatility index of various hazardous transportation scenarios multiplied by the corresponding weight factor, plus the product of the flow rate volatility index of various hazardous transportation scenarios multiplied by the corresponding weight factor, to obtain the volatility risk index of various hazardous transportation scenarios. The weight factors of the temperature volatility index and the flow rate volatility index are both set by the staff. The weight factors of the temperature volatility index and the flow rate volatility index are both greater than zero, and the sum of the weight factors of the temperature volatility index and the flow rate 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 rate volatility index is 0.7.

[0076] In a specific embodiment, the leakage detection scheme for various abnormal transportation scenarios of the compound is specifically set as follows: perform weighted calculation on the scenario leakage risk index and the volatility index of various abnormal transportation scenarios to obtain the transportation risk index of various abnormal transportation scenarios. Obtain the transportation risk index interval of each detection interval duration from the database. If the transportation risk index of a certain type of abnormal transportation scenario belongs to the transportation risk index interval of a certain detection interval duration, it indicates that this type of abnormal transportation scenario is of this detection interval duration. In this way, the detection interval duration corresponding to various abnormal transportation scenarios is obtained, and then the leakage detection scheme for various abnormal transportation scenarios of the compound is obtained: perform detection according to the corresponding detection interval duration.

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

[0078] A database for storing the maximum pollution distance of organic compounds, the maximum leakage distance, the trend term correction parameters corresponding to the slopes of each curve, the leakage trend term correction parameter intervals corresponding to each leakage hazard level, the maximum volatilization distance, the volatilization trend term correction parameter intervals corresponding to each volatilization hazard level, the historical data of leakage nodes, the historical data of leakage hazard levels, the historical data of volatilization hazard levels, and the transportation risk index intervals for each detection interval duration.

[0079] According to Figure 2 As shown, the present invention provides a method for detecting leakage of volatile organic compounds, including the following steps: Step 1, leakage detection: Collect the compound concentration data of each pipeline monitoring point of the target pipeline node, analyze whether the volatile organic compound leaks. If the volatile organic compound leaks, analyze to obtain the leakage node, collect the compound concentration change data of the leakage node, analyze to obtain the leakage hazard level of the leakage node, issue a warning, and simultaneously perform volatilization detection on the leakage node.

[0080] Step 2, volatilization detection: Collect the compound concentration data of the warning monitoring point of the leakage node, analyze whether the volatile organic compound leaks and volatilizes. If the volatile organic compound leaks and volatilizes, issue a warning, and simultaneously collect the compound concentration change data of the warning monitoring point of the leakage node, analyze to obtain the volatilization hazard level.

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

[0082] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by this specification, they should all fall within the protection scope of the present invention.

Claims

1. A leakage detection system for volatile organic compounds, characterized in that, It includes the following modules: A leakage detection module, which is used to collect the compound concentration data of each pipeline monitoring point of the target pipeline node, analyze whether volatile organic compounds leak. If volatile organic compounds leak, the leakage node is analyzed and an alarm is given. Furthermore, the volatile detection of the leakage node is carried out, and at the same time, the compound concentration change data of the leakage node is collected, and the leakage risk level of the leakage node is analyzed and obtained; A volatile detection module, which is used to collect the compound concentration data of the warning monitoring point of the leakage node, analyze whether volatile organic compounds leak and volatilize. If volatile organic compounds leak and volatilize, an alarm is given. At the same time, the compound concentration change data of the warning monitoring point of the leakage node is collected, and the volatilization risk level is analyzed and obtained; A transportation limitation module, which is used to set the standard transportation plan of volatile organic compounds according to the historical data of leakage nodes and the historical data of leakage risk levels in the database. Based on the standard transportation data of the compound, various abnormal transportation scenarios of the compound are simulated, and according to the historical data of volatilization risk levels in the database, the leakage detection plans for various abnormal transportation scenarios of the compound are set.

2. The leakage detection system for volatile organic compounds according to claim 1, characterized in that, The specific analysis process of analyzing whether volatile organic compounds leak is as follows: The compound concentration data of each pipeline monitoring point includes the compound concentration outside the pipeline at each pipeline detection point, the concentration difference between the inside and outside pipelines, the humidity outside the pipeline, and the humidity difference between the inside and outside pipelines. Substitute the compound concentration data of each pipeline monitoring point into the leakage judgment index calculation formula to obtain the leakage judgment index of each pipeline detection point. Mark the pipeline detection points with leakage judgment index greater than the reference leakage judgment index as each low-concentration leakage point, and mark the low-concentration leakage points with leakage judgment index greater than the standard leakage judgment index as each high-concentration leakage point; If a pipeline detection point is a high-concentration leakage point and the number of low-concentration leakage points within the preset affected area near the high-concentration leakage point is greater than the preset basic leakage point number, mark this pipeline detection point as a leakage node. If all pipeline detection points in a group of continuous pipeline detection points are low-concentration leakage points, select the pipeline detection point with the largest leakage judgment index in this group of continuous pipeline detection points as the leakage node. When a leakage node appears, it indicates that there is a compound leakage currently, and an alarm is given.

3. The leak detection system for volatile organic compounds according to claim 2, wherein The specific analysis process of analyzing the leakage risk level of the leakage node 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; Fit and plot the concentration and humidity collected each time at each associated monitoring point according to the time coordinate, obtain the curve slope from the picture, and correct the parameters according to the trend item corresponding to each curve slope in the database to obtain the concentration leakage time trend item correction parameter and humidity leakage time trend item correction parameter of each associated monitoring point; Fit the concentration and humidity collected each time at each associated monitoring point of the leakage node according to the displacement distance coordinate from the leakage node to obtain the concentration leakage space trend item correction parameter and humidity leakage space trend item correction parameter of each associated monitoring point; Substitute the leakage concentration time trend term correction parameter, leakage humidity time trend term correction parameter, leakage concentration spatial trend term correction parameter, and leakage humidity spatial trend term correction parameter of each associated monitoring point into the leakage trend term correction parameter calculation formula to obtain the leakage trend term correction parameter of each associated monitoring point. Obtain the leakage trend term correction parameter interval corresponding to each leakage hazard level from the database, thereby obtaining 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 leak detection system for volatile organic compounds according to claim 1, wherein The analysis of whether volatile organic compounds leak and volatilize is as follows: The compound concentration data of the warning monitoring points of the leakage node 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-surface compound concentration of each warning air monitoring point, and the air compound concentration ratio of each warning air monitoring point; Set weight factors according to the distances between each warning soil monitoring point and the leakage node, and calculate the weighted mean of the soil gas compound concentration and the soil gas compound concentration ratio of each warning soil monitoring point of the leakage node to obtain the soil gas compound concentration and the soil gas compound concentration ratio of the leakage node. Similarly, analyze the dissolved compound concentration of each warning groundwater monitoring point, the conductivity of each warning groundwater monitoring point, the near-surface compound concentration of each warning air monitoring point, and the air compound concentration ratio of each warning air monitoring point of the leakage node to obtain the dissolved compound concentration, conductivity, near-surface compound concentration, and air compound concentration ratio of the leakage node; Substitute 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 into the volatilization judgment index calculation formula to obtain the volatilization judgment index of the leakage node. If the volatilization judgment index of the leakage node is greater than the preset volatilization judgment index, it indicates that the current organic compound volatilizes and leaks, and a warning is issued.

5. The leak detection system for volatile organic compounds according to claim 4, characterized in that, The analysis to obtain the volatilization hazard level is as follows: The compound concentration change data of the warning monitoring points of the leakage node include the soil gas compound concentration of each warning soil monitoring point collected each time at 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-surface compound concentration of each warning air monitoring point, and the air compound concentration ratio of each warning air monitoring point; According to the analysis process of the concentrations and humidities collected at each associated monitoring point of the leakage node, analyze the soil gas compound concentrations and soil gas compound concentration ratios of each pre-warning soil monitoring point collected at each time of the leakage node, obtain the correction parameters of the volatilization trend item for each pre-warning soil monitoring point, set weight factors for each pre-warning soil monitoring point according to the distance from the leakage node, and calculate the weighted mean of the correction parameters of the volatilization trend item for each pre-warning soil monitoring point to obtain the correction parameter of the soil volatilization trend item of the leakage node; Similarly, analyze the dissolved compound concentrations and conductivities of each pre-warning groundwater monitoring point collected at each time of the leakage node to obtain the correction parameter of the groundwater volatilization trend item of the leakage node, and analyze the near-surface compound concentrations and air compound concentration ratios of each pre-warning air monitoring point collected at each time of the leakage node to obtain the correction parameter of the air volatilization trend item of the leakage node; Perform weighted calculation on the correction parameter of the soil volatilization trend item, the correction parameter of the groundwater volatilization trend item, and the correction parameter of the air volatilization trend item of the leakage node according to the corresponding weight factors to obtain the correction parameter of the volatilization trend item of the leakage node. Obtain the correction parameter interval corresponding to each volatilization risk level from the database. If the correction parameter of the volatilization trend item of the leakage node belongs to the correction parameter interval corresponding to a certain volatilization risk level, it indicates that the leakage node is of this volatilization risk level. If the volatilization risk level of the leakage node is greater than the preset volatilization risk level, give a warning prompt.

6. The leakage detection system for volatile organic compounds according to claim 1, wherein The specific process of setting the standard transportation plan for volatile organic compounds is as follows: The historical data of the leakage node in the database includes the leakage warning times at each temperature, the leakage warning times at each pressure, and the leakage warning times at each flow rate. The historical data of the leakage risk level in the database includes the average leakage risk level at each temperature, the maximum leakage risk level at each temperature, the average leakage risk level at each pressure, the maximum leakage risk level at each pressure, the maximum leakage risk level at each flow rate, and the average leakage risk level at each flow rate; Substitute the leakage warning times, average leakage risk level, and maximum leakage risk level at each temperature into the risk index calculation formula to obtain the temperature risk index at each temperature. Substitute the leakage warning times, average leakage risk level, and maximum leakage risk level at each pressure into the risk index calculation formula to obtain the pressure risk index at each pressure. Substitute the leakage warning times, average leakage risk level, and maximum leakage risk level at each flow rate into the risk index calculation formula to obtain the flow rate risk index at each flow rate. Denote the maximum temperature with a temperature risk index less than the standard temperature risk index as the standard temperature, denote the minimum pressure with a pressure risk index less than the standard pressure risk index as the standard pressure, and denote the maximum flow rate with a flow rate risk index less than the standard flow rate risk index 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.

7. The leakage detection system for volatile organic compounds according to claim 6, characterized in that, The specific process of simulating various abnormal transportation scenarios of the simulated compound is as follows: Set each transportation scenario, and then obtain the temperature, pressure, and flow rate of each transportation scenario. Perform weighted calculations on 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 to obtain the scenario leakage hazard index of each transportation scenario. Mark the transportation scenarios with a scenario leakage hazard index greater than the preset standard scenario leakage hazard index as various hazardous transportation scenarios; The historical data of the volatilization hazard level in the database includes the average volatilization hazard level at each temperature, the maximum volatilization hazard level at each temperature, the maximum volatilization hazard level at each flow rate, and the average volatilization hazard level at each flow rate. Substitute the average leakage hazard level, maximum leakage hazard level, average volatilization hazard level, and maximum volatilization hazard level at each temperature into the temperature volatilization index calculation formula to obtain the temperature volatilization index at each temperature. Substitute the average leakage hazard level, maximum leakage hazard level, average volatilization hazard level, and maximum volatilization hazard level at each flow rate into the flow rate volatilization index calculation formula to obtain the flow rate volatilization index at each flow rate; Perform weighted calculations on the temperature volatilization index corresponding to the temperature of each hazardous transportation scenario and the flow rate volatilization index corresponding to the flow rate to obtain the volatilization hazard index of each hazardous transportation scenario. Mark the hazardous transportation scenarios with a volatilization index less than the preset standard volatilization index as various abnormal transportation scenarios.

8. The leak detection system for volatile organic compounds according to claim 7, characterized in that, The leakage detection scheme for various abnormal transportation scenarios of the compound is set as follows: Perform weighted calculations on the scenario leakage hazard index and volatilization index of various abnormal transportation scenarios to obtain the transportation risk index of various abnormal transportation scenarios. Obtain the transportation risk index interval for each detection interval duration from the database. If the transportation risk index of a certain type of abnormal transportation scenario belongs to the transportation risk index interval of a certain detection interval duration, it indicates that this type of abnormal transportation scenario is for this detection interval duration. In this way, obtain the detection interval duration corresponding to various abnormal transportation scenarios, and then obtain the leakage detection scheme for various abnormal transportation scenarios of the compound: perform detection according to the corresponding detection interval duration.

9. The leak detection system for volatile organic compounds according to claim 1, characterized in that, It also includes a database for storing leakage node historical data, leakage hazard level historical data, volatilization hazard level historical data, trend item correction parameters corresponding to each curve slope, leakage trend item correction parameter intervals corresponding to each leakage hazard level, volatilization trend item correction parameter intervals corresponding to each volatilization hazard level, and transportation risk index intervals for each detection interval duration.

10. A method for detecting leakage of volatile organic compounds by applying the leakage detection system of volatile organic compounds according to any one of claims 1-9, characterized in that, It includes the following steps: Step 1, leakage detection: Collect the compound concentration data of each pipeline monitoring point of the target pipeline node, analyze whether the volatile organic compound leaks. If the volatile organic compound leaks, analyze to obtain the leakage node, collect the compound concentration change data of the leakage node, analyze to obtain the leakage hazard level of the leakage node, give an alarm, and at the same time perform volatilization detection on the leakage node; Step 2, volatilization detection: Collect the compound concentration data of the warning monitoring point of the leakage node, analyze whether the volatile organic compound leaks and volatilizes. If the volatile organic compound leaks and volatilizes, give an alarm, and at the same time collect the compound concentration change data of the warning monitoring point of the leakage node, analyze to obtain the volatilization hazard level; Step 3. Transportation limitation: Based on the historical data of leakage nodes and the historical data of leakage hazard levels in the database, set the standard transportation plan for volatile organic compounds. Taking the standard transportation data of the compounds as the benchmark, simulate various abnormal transportation scenarios of the compounds, and set the leakage detection plans for various abnormal transportation scenarios of the compounds according to the historical data of volatile hazard levels in the database.

Images