Chemical gas leakage detection management method and system

Abstract

The invention discloses a chemical gas leakage detection management method and system, and relates to the technical field of chemical gas leakage detection, and the method comprises the following steps: determining a detection region and the gas type and characteristics of the detection region, collecting the environment data of the chemical detection region, constructing an environment parameter database, carrying out the preprocessing according to the collected environment data, and obtaining a detection result. The method comprises the following steps: analyzing environmental data influencing gas leakage detection to obtain an environmental data analysis sequence table, configuring detection equipment according to the environmental data analysis sequence table, establishing a data acquisition system and an anomaly detection mechanism, and collecting detection data and identifying anomaly detection data in the detection data by utilizing the detection equipment. The gas concentration in the environment is monitored in real time, abnormal conditions are rapidly detected, an alarm mechanism is triggered, a leakage source is found and controlled in time, the emission amount of harmful gas is reduced, the time difference from leakage occurrence to detection is shortened, and safety accidents such as fire disasters and explosions are effectively prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical gas leakage detection, and in particular to a chemical gas leakage detection management method and system. Background Art

[0002] In the chemical production process, a variety of flammable, explosive, toxic and harmful gases are involved. Once these gases leak, they may cause fires, explosions or poisoning accidents, seriously threatening the lives of workers. With the increasingly stringent environmental protection policies, chemical companies need to detect chemical gas leaks. By detecting chemical gases, major safety accidents can be effectively prevented, and leaks can be discovered and dealt with in a timely manner, and property losses and environmental pollution caused by accidents can be reduced. With the continuous development of sensor technology, data processing technology, artificial intelligence and other technologies, the application of these technologies has reduced leakage, and the accuracy and real-time performance of chemical gas leak detection management methods have been significantly improved. The application of these technologies makes leak detection more efficient and accurate, providing a strong guarantee for the safe production of chemical companies.

[0003] In the existing technology, chemical gas leakage detection is limited by various environmental factors, such as temperature fluctuations, humidity changes, and pressure differences. These external conditions will affect the detection range and sensitivity of gas leakage detection; further, the response characteristics of the detection equipment to specific gases may also deviate due to long-term use or environmental changes, requiring us to calibrate and verify regularly to ensure the accuracy of its detection data. Therefore, reducing the impact of environmental factors on the detection equipment and calibrating the detection equipment according to environmental changes have become important issues that we urgently need to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a chemical gas leakage detection management method and system to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] In a first aspect, a chemical gas leak detection management method comprises the following steps:

[0007] Step 1, determine the detection area and the gas types and characteristics in the detection area, and collect environmental data of the chemical detection area, including temperature range, humidity change, pressure fluctuation, wind speed, wind direction and electromagnetic interference, and build an environmental parameter database;

[0008] Step 2, preprocessing the collected environmental data, analyzing the environmental data that affects gas leakage detection, and obtaining an environmental data analysis sequence table;

[0009] Step 3: Configure the detection equipment according to the environmental data analysis sequence table, establish a data acquisition system and anomaly detection mechanism, scientifically plan the location and quantity of the detection equipment according to the leakage source location, wind direction, wind speed and potential diffusion path, ensure comprehensive coverage and high sensitivity, avoid cross interference, and use the detection equipment to collect detection data, identify abnormal detection data in the detection data, including the location of the leakage point, leakage amount, leakage medium and other information, and obtain the abnormal evaluation coefficient;

[0010] Step 4: Based on the environmental factor analysis sequence table and the pre-processed environmental data, analyze the pattern and trend of gas leakage, and compensate the detection equipment to reduce the interference of environmental factors. According to the severity, diffusion speed and potential hazards of the leakage, set multiple warning levels, and set abnormal assessment thresholds of different warning levels in combination with abnormal assessment coefficients;

[0011] Step 5: Develop an emergency plan based on the determined gas type and characteristics and warning level, including emergency response procedures, evacuation plans, rescue measures, etc., to ensure rapid and effective response measures, and continuously monitor the performance of the detection system and optimize it based on actual conditions.

[0012] A further improvement of the technical solution of the present invention is that the construction process of the environmental parameter database is:

[0013] Step 101, clarify the purpose and specific needs of monitoring, determine the types of gases present in the detection area, including flammable gases, toxic gases, inert gases, etc., and use the industry's public database to obtain the distribution pattern of the gas and its physical properties, chemical properties, toxicity information and safety thresholds;

[0014] Step 102, deploy monitoring equipment, such as air quality monitoring stations, gas detectors, sensors, etc., in the detection area according to the monitored gas types, characteristics and environmental conditions, and configure monitoring parameters of the monitoring equipment according to the monitoring target and gas types;

[0015] Step 103, using the configured monitoring equipment to collect data, selecting a method of collecting data periodically or continuously to ensure the representativeness and comprehensiveness of the data, monitoring the environmental data in real time, and saving and recording the collected environmental data for subsequent analysis and processing;

[0016] Step 104, organize the collected environmental data, classify the organized environmental data according to the gas type and characteristics, and establish an environmental parameter database; to facilitate subsequent data query, analysis and application, and to regularly back up and maintain the database.

[0017] A further improvement of the technical solution of the present invention is that the process of obtaining the environmental data analysis sequence table is:

[0018] Step 201, cleaning and standardizing the sorted and classified environmental data to remove noise and outliers;

[0019] Step 202, extracting features from the preprocessed environmental data, performing feature extraction on temperature, humidity, and pressure respectively, and obtaining temperature interference factors, humidity interference factors, and pressure interference factors;

[0020] Step 203, based on the pre-processed environmental data, obtain the associated data of the temperature interference factor, the humidity interference factor and the pressure interference factor, and the associated relationship between them and the gas leakage detection data, analyze the environmental data related to the gas leakage detection, and compile an environmental data analysis sequence table;

[0021] Step 204 , based on the environmental data analysis sequence table, optimize the configuration of the monitoring equipment and the setting of the monitoring parameters to improve the accuracy and efficiency of gas leakage detection.

[0022] A further improvement of the technical solution of the present invention is that the process of obtaining the abnormal evaluation coefficient is:

[0023] Step 301, according to the environmental factors in the environmental data analysis sequence table, optimize the configuration of the detection equipment to ensure that the detection equipment has sufficient accuracy, stability and reliability, and connect each detection equipment to the data acquisition system to ensure real-time transmission and storage of data. At the same time, consider the scalability and maintainability of the system so as to add new monitoring points or upgrade the system in the future;

[0024] Step 302, establishing an anomaly detection mechanism based on the environmental data and the associated information in the environmental data analysis sequence table, analyzing the environmental data, and obtaining abnormal data points;

[0025] Step 303, based on the acquired abnormal data points and in combination with the temperature interference factor, humidity interference factor and pressure interference factor, respectively obtain the temperature interference index, humidity interference index and pressure interference index, predict and analyze the temperature change trend, humidity change trend and pressure change trend, and reflect the interference degree of each environmental factor on gas leakage detection;

[0026] Step 304, integrate the temperature interference index, humidity interference index and pressure interference index to obtain an abnormality assessment coefficient, verify the effectiveness of the abnormality detection mechanism, provide feedback and adjust the detection equipment and mechanism, and output an abnormality detection report.

[0027] A further improvement of the technical solution of the present invention is that the calculation formula of the temperature interference index is:

[0028]

[0029] Where TII is the temperature interference index, T is the current temperature value, T std is the standard value of temperature, σ T is the standard deviation of temperature, ΔT is the rate of change of temperature, ΔT max is the maximum allowable value of the temperature change rate, α is the seasonal amplitude factor, t is the current time, t0 is the start time of the periodic change, and Q is the period of the periodic change;

[0030] The humidity interference index calculation formula is:

[0031]

[0032] Among them, HII is the humidity interference index, RH is the current relative humidity, and RH std is the standard value of relative humidity, RH min is the minimum relative humidity, RH max is the maximum value of relative humidity, β is the sensitivity coefficient of humidity deviation from the optimal value, RH opt is the optimal value of relative humidity;

[0033] The pressure interference index calculation formula is:

[0034]

[0035] Among them, PII is the pressure interference index, P is the current pressure value, and P std is the standard value of pressure, P r is the allowable range of pressure value, γ is the weight factor, P l is the last recorded pressure value, and 6 is the sensitive parameter of the pressure change rate.

[0036] A further improvement of the technical solution of the present invention is that the calculation formula of the abnormality assessment coefficient is:

[0037]

[0038] Among them, AAI is the abnormal assessment coefficient, TII is the temperature interference index, HII is the humidity interference index, PII is the pressure interference index, ρ is the weight factor, T avg is the average temperature in recent time, T opt is the optimal value of temperature, σ T is the standard deviation of temperature.

[0039] A further improvement of the technical solution of the present invention is that the process of determining the abnormal assessment threshold of the warning level is:

[0040] Step 401, analyzing the correlation between the gas leakage situation and the temperature interference index, the humidity interference index and the pressure interference index according to the abnormality detection report and the environmental factor analysis sequence table;

[0041] Step 402, identifying the gas leakage pattern based on the environmental data, and analyzing the frequency, duration and impact range of the gas leakage, predicting the trend of future gas leakage, and drawing visualization tools such as time series graphs and scatter plots to help understand the dynamic changes of the leakage;

[0042] Step 403, determining the specific interference items that need to be compensated based on the environmental data and the gas leakage mode, calibrating and adjusting the detection equipment to ensure the accuracy of the detection results, such as sensitivity and range, to compensate for the interference of environmental factors;

[0043] Step 404, based on the abnormal detection report and the severity, impact scope and development speed of the gas leakage, define different warning levels, namely, level 1 warning level, level 2 warning level, level 3 warning level and level 4 warning level, wherein the leakage danger of the warning level increases step by step from level 1 warning level to level 4 warning level;

[0044] Step 405, matching the result of the abnormality assessment coefficient with different warning levels, and setting corresponding warning assessment thresholds for different warning levels.

[0045] A further improvement of the technical solution of the present invention is that: the multiple warning levels correspond to multiple warning assessment thresholds, wherein the warning assessment thresholds include an upper threshold and a lower threshold;

[0046] The multiple warning levels and the multiple warning assessment thresholds satisfy the following relationship:

[0047] Level 1 warning: 0 <AAI<AAI A ;

[0048] Second level warning level: AAI A ≤AAI <AAI B ;

[0049] Level 3 warning level: AAI B ≤AAI <AAI C ;

[0050] Level 4 warning level: AAI C ≤AAI<1;

[0051] Among them, AAI is the abnormal assessment coefficient, AAI A The upper threshold corresponding to the first warning level and the lower threshold corresponding to the second warning level, AAI Bis the upper threshold corresponding to the second-level warning level and the lower threshold corresponding to the third-level warning level, AAI C is the upper threshold corresponding to the third-level warning level and the lower threshold corresponding to the fourth-level warning level, AAI A =0.2,AAI B =0.5,AAI C =0.8.

[0052] A further improvement of the technical solution of the present invention is that the performance process of the monitoring and detection system is:

[0053] Step 501, based on the determined gas type and characteristics, assess the risks and impacts caused by gas leakage, and formulate a specific emergency plan;

[0054] Step 502: Establish a feedback mechanism to collect feedback information on gas leakage patterns and perform regular inspections and maintenance on gas detection equipment to ensure that it is in good working condition.

[0055] Step 503, evaluate and analyze the feedback information, find out the existing problems and causes, and adjust the emergency plan according to the evaluation results to improve its pertinence and effectiveness.

[0056] In a second aspect, a chemical gas leakage detection and management system is provided: for implementing a chemical gas leakage detection and management method, comprising a monitoring center, wherein the monitoring center is communicatively connected to a collector module, an analysis and evaluation module, an alarm module, and an early warning scheme output module, wherein electrical signals are connected between the modules;

[0057] The collector module is used to collect gas leaks during chemical production, capture gas components in the air, and analyze and provide basic data;

[0058] The analysis and evaluation module is used to extract and analyze the collected gas, and to perform abnormality evaluation on the collected gas in combination with a preset abnormality evaluation coefficient, including measuring the absorption degree of the gas to light of a specific wavelength and calculating the concentration of the gas, wherein the analysis and evaluation module is composed of a gas path system and a sensor;

[0059] The alarm module is used to determine the warning level of gas leakage based on the abnormality assessment coefficient and the preset abnormality assessment threshold;

[0060] The warning plan output module is used to output corresponding emergency plans according to the warning level.

[0061] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0062] 1. The present invention provides a chemical gas leakage detection management method and system. By implementing the chemical gas leakage detection management method, potential gas leakage risks can be discovered and warned in a timely manner, so that preventive measures can be taken before an accident occurs. Through continuous monitoring and regular detection and maintenance, the gas concentration in the production environment is ensured to always remain within a safe range, thereby reducing the possibility of safety accidents such as fire, explosion or poisoning caused by gas leakage.

[0063] 2. The present invention provides a chemical gas leakage detection management method and system. In view of the influence of environmental factors such as temperature fluctuation, humidity change and pressure difference on detection accuracy, the detection equipment is calibrated and verified regularly to timely discover equipment deviation and prevent potential performance degradation, thereby extending the service life of the equipment and ensuring that the response characteristics of the detection equipment to specific gases remain accurate. The performance can be maintained even in long-term use or environmental changes. This not only improves the reliability of detection, but also reduces the risk of false alarms and missed alarms, providing a more solid safety guarantee for chemical production.

[0064] 3. The present invention provides a chemical gas leak detection management method and system, which conducts in-depth analysis and understanding of environmental factors, so that the detection system can adapt to various environmental conditions such as temperature fluctuations, humidity changes and pressure differences. By real-time monitoring of environmental parameters and dynamically adjusting detection equipment, the impact of environmental factors on detection sensitivity and range is reduced, which not only improves the robustness of the detection system, but also ensures that efficient detection capabilities can be maintained in extreme or changing environments.

[0065] 4. The present invention provides a chemical gas leakage detection management method and system, which monitors the gas concentration in the environment in real time, quickly detects abnormal conditions, and triggers an alarm mechanism to promptly discover and control the leakage source, reduce the emission of harmful gases, protect the ecological environment from damage, shorten the time difference from the occurrence of a leakage to its detection, and effectively prevent the occurrence of safety accidents such as fire and explosion. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0067] Figure 1 is a flow chart of the method of the present invention;

[0068] Figure 2 The present invention is a flowchart for obtaining an abnormal evaluation coefficient;

[0069] Figure 3A flowchart for obtaining the warning level and abnormal assessment threshold of the present invention;

[0070] Figure 4 It is a module structure diagram of the present invention. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Embodiment 1, as Figure 1-3 As shown, the present invention provides a chemical gas leakage detection management method, comprising the following steps: Step 1, determining the detection area and the gas type and characteristics in the detection area, and collecting environmental data of the chemical detection area, including temperature range, humidity change, pressure fluctuation, wind speed, wind direction and electromagnetic interference, to build an environmental parameter database; the construction process of the environmental parameter database is: clarifying the purpose and specific needs of monitoring, such as evaluating air quality, monitoring industrial waste gas emissions or studying the distribution law of specific gases, etc., determining the gas types existing in the detection area, including flammable gases, toxic gases, inert gases, etc., and using the industry's public database to obtain the gas distribution law and its physical properties, chemical properties, toxicity information and safety thresholds, according to the monitored gas types, characteristics and environment Conditions, deploy monitoring equipment in the detection area, such as air quality monitoring stations, gas detectors, sensors, etc., and configure the monitoring parameters of the monitoring equipment, such as detection range, sensitivity and sampling frequency, according to the monitoring objectives and gas types. Use the configured monitoring equipment to collect data, select regular or continuous data collection methods to ensure the representativeness and comprehensiveness of the data, monitor environmental data in real time, and save and record the collected environmental data for subsequent analysis and processing. Organize the collected environmental data and classify the organized environmental data according to the gas type and characteristics, such as by gas type, monitoring point, time period, etc., and establish an environmental parameter database to facilitate subsequent data query, analysis and application, and regularly back up and maintain the database;

[0073] Step 2: pre-process the collected environmental data, analyze the environmental data that affect gas leak detection, and obtain the environmental data analysis sequence table; the process of obtaining the environmental data analysis sequence table is: clean and standardize the sorted and classified environmental data, remove noise and outliers, and extract features from the pre-processed environmental data, respectively for temperature, such as daily average temperature, temperature fluctuation range, temperature change rate, etc. These features help to identify the impact of temperature on gas leak detection, such as temperature rise may lead to increased volatility of certain gases, humidity, such as relative humidity, humidity change trend, humidity and temperature correlation, etc. Humidity may affect the sensitivity of the sensor and gas diffusion rate, pressure, such as atmospheric pressure, pressure change rate, etc. Pressure changes may affect the diffusion pattern and concentration distribution of gases, and feature extraction is performed to obtain temperature interference factors, humidity interference factors, and pressure interference factors. Based on the pre-processed environmental data, the associated data of temperature interference factors, humidity interference factors, and pressure interference factors, as well as the association between them and gas leak detection data, are obtained. The environmental data related to gas leak detection is analyzed, and an environmental data analysis sequence table is compiled. The sequence table should clearly list the name, definition, importance rating, associated data, and analysis conclusions of each interference factor. Based on the environmental data analysis sequence table, the configuration of the monitoring equipment and the setting of the monitoring parameters are optimized to improve the accuracy and efficiency of gas leak detection;

[0074] Step 3: Configure the detection equipment according to the environmental data analysis sequence table, establish a data acquisition system and anomaly detection mechanism, scientifically plan the location and quantity of the detection equipment according to the location of the leakage source, wind direction, wind speed and potential diffusion path, ensure comprehensive coverage and high sensitivity, avoid cross interference, and use the detection equipment to collect detection data, identify abnormal detection data in the detection data, including the location of the leakage point, leakage amount, leakage medium and other information, and obtain the anomaly assessment coefficient; the process of obtaining the anomaly assessment coefficient is: according to the environmental factors in the environmental data analysis sequence table, optimize the configuration of the detection equipment, ensure that the detection equipment has sufficient accuracy, stability and reliability, and connect each detection equipment to the data acquisition system to ensure real-time transmission and storage of data. At the same time, consider the system Improve the scalability and maintainability of the system so that new monitoring points can be added or the system can be upgraded in the future. An anomaly detection mechanism is established based on the environmental data and the associated information in the environmental data analysis sequence table. The environmental data is analyzed to obtain abnormal data points. Based on the obtained abnormal data points and in combination with the temperature interference factor, humidity interference factor and pressure interference factor, the temperature interference index, humidity interference index and pressure interference index are obtained respectively. The temperature change trend, humidity change trend and pressure change trend are predicted and analyzed to reflect the degree of interference of various environmental factors on gas leakage detection. The temperature interference index, humidity interference index and pressure interference index are integrated to obtain the anomaly evaluation coefficient, verify the effectiveness of the anomaly detection mechanism, provide feedback and adjustment to the detection equipment and mechanism, and output an anomaly detection report.

[0075] Furthermore, the calculation formula of the temperature interference index is:

[0076]

[0077] Where TII is the temperature interference index, T is the current temperature value, T std is the standard value of temperature, σ T is the standard deviation of temperature, ΔT is the rate of change of temperature, ΔT max is the maximum allowable value of the temperature change rate, α is the seasonal amplitude factor, t is the current time, t0 is the start time of the periodic change, and Q is the period of the periodic change;

[0078] The calculation formula of humidity interference index is:

[0079]

[0080] Among them, HII is the humidity interference index, RH is the current relative humidity, and RH std is the standard value of relative humidity, RH min is the minimum relative humidity, RH max is the maximum value of relative humidity, β is the sensitivity coefficient of humidity deviation from the optimal value, RH optis the optimal value of relative humidity;

[0081] The pressure interference index calculation formula is:

[0082]

[0083] Among them, PII is the pressure interference index, P is the current pressure value, and P std is the standard value of pressure, P r is the allowable range of pressure value, γ is the weight factor, P l is the pressure value recorded last time, δ is the sensitive parameter of the pressure change rate;

[0084] The calculation formula of the abnormal assessment coefficient is:

[0085]

[0086] Among them, AAI is the abnormal assessment coefficient, TII is the temperature interference index, HII is the humidity interference index, PII is the pressure interference index, ρ is the weight factor, T avg is the average temperature in recent time, T opt is the optimal value of temperature, σ T is the standard deviation of temperature;

[0087] Step 4: Based on the environmental factor analysis sequence table and the pre-processed environmental data, analyze the pattern and trend of gas leakage, and compensate the detection equipment to reduce the interference of environmental factors. According to the severity, diffusion speed and potential hazards of the leakage, set multiple warning levels, and set the abnormal assessment thresholds of different warning levels in combination with the abnormal assessment coefficient; the abnormal assessment threshold of the warning level is determined as follows: according to the abnormal detection report and the environmental factor analysis sequence table, analyze the correlation between the gas leakage situation and the temperature interference index, humidity interference index and pressure interference index, identify the gas leakage pattern according to the environmental data, such as seasonal leakage, leakage caused by weather changes, etc., and analyze the frequency, duration and scope of influence of gas leakage, predict the trend of future gas leakage, and draw Visualization tools such as time series graphs and scatter plots help understand the dynamic changes of leaks. According to environmental data combined with gas leakage patterns, the specific interference items that need to be compensated are determined, such as temperature drift and humidity affecting sensitivity. Calibration and adjustment of detection equipment are performed to ensure the accuracy of detection results, such as sensitivity and range, to compensate for the interference of environmental factors. Different warning levels are defined according to abnormal detection reports and the severity, impact scope and development speed of gas leaks, namely, level 1 warning level, level 2 warning level, level 3 warning level and level 4 warning level. Among them, the leakage hazard of the warning level increases step by step from level 1 warning level to level 4 warning level. The results of the abnormal evaluation coefficient are matched with different warning levels, and corresponding warning evaluation thresholds are set for different warning levels.

[0088] Furthermore, multiple warning levels correspond to multiple warning assessment thresholds, wherein the warning assessment threshold includes an upper threshold and a lower threshold;

[0089] Multiple warning levels and multiple warning assessment thresholds satisfy the following relationship:

[0090] Level 1 warning: 0 <AAI<AAI A , minor leakage, gas concentration close to but not yet reaching the danger threshold, the warning measures for the first warning level are: monitor and record the current gas leakage, conduct preliminary risk assessment, notify relevant personnel and conduct regular inspections to ensure that the leakage situation has no trend of deterioration, and prepare emergency plans to respond quickly when the situation changes;

[0091] Second level warning level: AAI A ≤AAI <AAI B , moderate leakage, gas concentration reaches the dangerous threshold, but has not yet caused serious consequences. The warning measures for the second warning level are: increase monitoring frequency, locate and evaluate the source of leakage, initiate preventive measures, such as adjusting process parameters to reduce the possibility of gas generation or leakage, isolate the affected area, ensure personnel safety, and notify management to prepare further response measures.

[0092] Level 3 warning level: AAI B ≤AAI <AAI C , severe leakage, extremely high gas concentration, may cause fire, explosion or serious poisoning accidents, the warning measures for the third level of warning are: take immediate action to control the source of the leakage, such as closing relevant valves or stopping the operation of related equipment, starting the ventilation system, reducing the concentration of gas in the air, evacuating people from the affected area, and ensuring their safety. At the same time, notify the emergency response team to prepare for on-site disposal and repair work;

[0093] Level 4 warning level: AAI C ≤AAI<1, emergency state, the leakage has caused fire, explosion or large-scale poisoning accident, the warning measures of the fourth warning level are: immediately activate the highest level of emergency plan, including but not limited to full evacuation of personnel, cutting off all energy supplies that may aggravate the leakage, using professional equipment to block and repair the leakage source, and at the same time, it may be necessary to notify external rescue agencies, such as fire brigades or professional emergency teams, to assist in handling the leakage incident;

[0094] Among them, AAI is the abnormal assessment coefficient, AAI A The upper threshold corresponding to the first warning level and the lower threshold corresponding to the second warning level, AAI B is the upper threshold corresponding to the second-level warning level and the lower threshold corresponding to the third-level warning level, AAIC is the upper threshold corresponding to the third-level warning level and the lower threshold corresponding to the fourth-level warning level, AAI A =0.2,AAI B =0.5,AAI C =0.8;

[0095] Step 5. According to the determined gas types and characteristics and warning levels, formulate emergency plans, including emergency response processes, evacuation plans, rescue measures, etc., to ensure rapid and effective response measures, and continuously monitor the performance of the detection system and optimize according to actual conditions; according to the determined gas types and characteristics, evaluate the risks and impacts caused by gas leakage, and formulate specific emergency plans; such as level 1 warning: strengthen monitoring, notify relevant personnel to pay attention, and prepare emergency supplies; level 2 warning: immediately start the emergency response procedure, organize personnel evacuation, set up warning areas, and start emergency equipment for processing; level 3 warning: on the basis of the level 2 warning measures, strengthen fire source control, prepare fire extinguishing equipment, notify professional rescue teams to stand by, immediately start a comprehensive emergency response, organize professional rescue teams to carry out fire extinguishing, search and rescue, and poisoning treatment, and report to government departments and request support at the same time, establish a feedback mechanism, collect feedback information on gas leakage patterns, regularly inspect and maintain gas detection equipment to ensure that it is in good working condition, evaluate and analyze the feedback information, find out the existing problems and causes, and adjust the emergency plan according to the evaluation results to improve its pertinence and effectiveness.

[0096] Embodiment 2, as Figure 4 As shown, based on Example 1, the present invention provides a chemical gas leakage detection and management system, including a monitoring center, the monitoring center is communicatively connected with a collector module, an analysis and evaluation module, an alarm module and an early warning scheme output module, wherein the modules are electrically connected by signals;

[0097] The collector module is used to collect gas leaks during chemical production, capture gas components in the air, and analyze and provide basic data;

[0098] The analysis and evaluation module is used to extract and analyze the collected gas, and to perform abnormal evaluation on the collected gas in combination with the preset abnormal evaluation coefficient; including measuring the gas's absorption degree of light of a specific wavelength and calculating the gas concentration. The analysis and evaluation module consists of a gas path system and a sensor.

[0099] An alarm module is used to determine the warning level of gas leakage based on the abnormality assessment coefficient and the preset abnormality assessment threshold;

[0100] The early warning plan output module is used to output the corresponding emergency plan according to the early warning level.

[0101] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A chemical gas leakage detection management method, characterized in that: The following steps are involved: Step 1, determine the detection area and the gas types and characteristics in the detection area, collect environmental data of the chemical detection area, and build an environmental parameter database; Step 2, preprocessing the collected environmental data, analyzing the environmental data that affects gas leakage detection, and obtaining an environmental data analysis sequence table; Step 3: configure the detection equipment according to the environmental data analysis sequence table, establish a data acquisition system and anomaly detection mechanism, and use the detection equipment to collect detection data, identify abnormal detection data in the detection data, and obtain an abnormal evaluation coefficient; Step 4: Analyze the pattern and trend of gas leakage based on the environmental factor analysis sequence table and the pre-processed environmental data, compensate the detection equipment, set multiple warning levels, and set abnormal assessment thresholds of different warning levels in combination with abnormal assessment coefficients; Step 5: Develop an emergency plan based on the determined gas type and characteristics and warning level, continuously monitor the performance of the detection system, and optimize it based on actual conditions.

2. A chemical gas leakage detection management method according to claim 1, characterized in that: The construction process of the environmental parameter database is as follows: Step 101, clarify the purpose and specific needs of monitoring, determine the types of gases present in the detection area, and use the database to obtain the distribution law of the gas as well as its physical properties, chemical properties, toxicity information and safety thresholds; Step 102, deploy monitoring equipment in the detection area according to the monitored gas type, characteristics and environmental conditions, and configure monitoring parameters of the monitoring equipment according to the monitoring target and gas type; Step 103, using the configured monitoring equipment to collect data, monitor environmental data in real time, and save and record the collected environmental data; Step 104, sorting the collected environmental data, classifying the sorted environmental data according to gas types and characteristics, and establishing an environmental parameter database.

3. A chemical gas leakage detection management method according to claim 2, characterized in that: The process of obtaining the environmental data analysis sequence table is as follows: Step 201, cleaning and standardizing the sorted and classified environmental data to remove noise and outliers; Step 202, extracting features from the preprocessed environmental data, performing feature extraction on temperature, humidity and pressure respectively, and obtaining a temperature interference factor, a humidity interference factor and a pressure interference factor; Step 203, obtaining the correlation data of the temperature interference factor, the humidity interference factor and the pressure interference factor according to the pre-processed environmental data, analyzing the environmental data related to the gas leakage detection, and compiling an environmental data analysis sequence table; Step 204: Optimize the configuration of the monitoring equipment and the setting of the monitoring parameters based on the environmental data analysis sequence list.

4. A chemical gas leakage detection management method according to claim 3, characterized in that: The process of obtaining the abnormal evaluation coefficient is as follows: Step 301, optimizing the configuration of the detection equipment according to the environmental factors in the environmental data analysis sequence table, and connecting each detection equipment to the data acquisition system; Step 302, establishing an abnormality detection mechanism based on the environmental data and the associated information in the environmental data analysis sequence table, analyzing the environmental data, and obtaining abnormal data points; Step 303, based on the acquired abnormal data points and in combination with the temperature interference factor, the humidity interference factor and the pressure interference factor, respectively acquire a temperature interference index, a humidity interference index and a pressure interference index; Step 304: Integrate the temperature interference index, humidity interference index and pressure interference index to obtain an abnormality assessment coefficient, verify the effectiveness of the abnormality detection mechanism, and output an abnormality detection report.

5. A chemical gas leakage detection management method according to claim 4, characterized in that: The calculation formula of the temperature interference index is: Where TII is the temperature interference index, T is the current temperature value, T std is the standard value of temperature, σ T is the standard deviation of temperature, ΔT is the rate of change of temperature, ΔT max is the maximum allowable value of the temperature change rate, α is the seasonal amplitude factor, t is the current time, t0 is the start time of the periodic change, and Q is the period of the periodic change; The humidity interference index calculation formula is: Among them, HII is the humidity interference index, RH is the current relative humidity, and RH std is the standard value of relative humidity, RH min is the minimum relative humidity, RH max is the maximum value of relative humidity, β is the sensitivity coefficient of humidity deviation from the optimal value, RH opt is the optimal value of relative humidity; The pressure interference index calculation formula is: Among them, PII is the pressure interference index, P is the current pressure value, and P std is the standard value of pressure, P r is the allowable range of pressure value, γ is the weight factor, P l is the last recorded pressure value, and δ is the sensitive parameter of the pressure change rate.

6. A chemical gas leakage detection management method according to claim 5, characterized in that: The calculation formula of the abnormal assessment coefficient is: Among them, AAI is the abnormal assessment coefficient, TII is the temperature interference index, HII is the humidity interference index, PII is the pressure interference index, ρ is the weight factor, T avg is the average temperature in recent time, T opt is the optimal value of temperature, σ T is the standard deviation of temperature.

7. A chemical gas leakage detection management method according to claim 6, characterized in that: The process of determining the abnormal assessment threshold of the warning level is as follows: Step 401, analyzing the correlation between the gas leakage situation and the temperature interference index, the humidity interference index and the pressure interference index according to the abnormality detection report and the environmental factor analysis sequence table; Step 402, identifying the gas leakage pattern according to the environmental data, analyzing the frequency, duration and impact range of the gas leakage, and predicting the trend of future gas leakage; Step 403, determining the specific interference item to be compensated according to the environmental data and the gas leakage mode, and calibrating and adjusting the detection equipment; Step 404, based on the abnormal detection report and the severity, impact scope and development speed of the gas leakage, define different warning levels, namely, level 1 warning level, level 2 warning level, level 3 warning level and level 4 warning level, wherein the leakage danger of the warning level increases step by step from level 1 warning level to level 4 warning level; Step 405, matching the result of the abnormality assessment coefficient with different warning levels, and setting corresponding warning assessment thresholds for different warning levels.

8. A chemical gas leakage detection management method according to claim 7, characterized in that: The plurality of warning levels correspond to a plurality of warning assessment thresholds, wherein the warning assessment thresholds include an upper threshold and a lower threshold; The multiple warning levels and the multiple warning assessment thresholds satisfy the following relationship: Level 1 warning: 0 <AAI<AAI A ; Second level warning level: AAI A ≤AAI <AAI B ; Level 3 warning level: AAI B ≤AAI <AAI C ; Level 4 warning level: AAI C ≤AAI<1; Among them, AAI is the abnormal assessment coefficient, AAI A The upper threshold corresponding to the first warning level and the lower threshold corresponding to the second warning level, AAI B is the upper threshold corresponding to the second-level warning level and the lower threshold corresponding to the third-level warning level, AAI C is the upper threshold corresponding to the third-level warning level and the lower threshold corresponding to the fourth-level warning level, AAI A =0.2,AAI B =0.5,AAI C =0.

8.

9. A chemical gas leakage detection management method according to claim 8, characterized in that: The performance process of the monitoring and detection system is as follows: Step 501, based on the determined gas type and characteristics, assess the risks and impacts caused by gas leakage, and formulate a specific emergency plan; Step 502, establishing a feedback mechanism, collecting feedback information on gas leakage patterns, and performing regular inspection and maintenance on gas detection equipment; Step 503, evaluate and analyze the feedback information, find out the existing problems and causes, and adjust the emergency plan according to the evaluation results.

10. A chemical gas leakage detection and management system, used to implement the chemical gas leakage detection and management method according to any one of claims 1 to 9, characterized in that: It includes a monitoring center, which is communicatively connected to a collector module, an analysis and evaluation module, an alarm module, and an early warning scheme output module, wherein electrical signals are connected between the modules; The collector module is used to collect gas leaks during chemical production, capture gas components in the air, and analyze and provide basic data; The analysis and evaluation module is used to extract and analyze the collected gas, and perform an abnormality evaluation on the collected gas in combination with a preset abnormality evaluation coefficient; The alarm module is used to compare the abnormality assessment coefficient with a preset abnormality assessment threshold to determine the warning level of gas leakage; The warning plan output module is used to output corresponding emergency plans according to the warning level.

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