Emergency treatment method and system for major safety accidents in factory area

Abstract

The application relates to the field of safety science and technology, and discloses a plant major safety accident emergency treatment method and system. First, a real-time monitoring module, a real-time acquisition module, a real-time analysis module, a real-time management module and a real-time early warning module are established. The real-time monitoring module collects various data in the plant through integrated sensors and monitoring equipment. The real-time analysis module is divided into a gas treatment unit, a container treatment unit, a sewage treatment unit and a storage treatment unit. The toxic gas exceeding standard area Wq, the dust exceeding standard area Fg, the container pressure exceeding standard area Yr, the pipeline pressure exceeding standard area Ez, the sewage pool exceeding standard area Li and the warehouse danger coefficient Awy are calculated. Finally, the real-time management module manages the exceeding standard data of the equipment, the pipeline, the pressure container, the sewage pool and the warehouse according to the calculation result of the real-time analysis module. The early warning module receives the exceeding standard information and immediately issues an emergency treatment instruction.

Description

Technical Field

[0001] This invention relates to the field of safety science and technology, specifically to emergency response methods and systems for major safety accidents in factory areas. Background Technology

[0002] The development of emergency response methods and systems for major safety accidents in factory areas is a gradual evolutionary process. This process reflects not only a deepening understanding of production safety but also a continuous improvement in emergency management capabilities. With technological advancements and globalization, this system will inevitably continue to evolve to better adapt to the ever-changing safety production environment and challenges.

[0003] However, we must also recognize that existing technologies still have certain limitations. For example, current monitoring systems may not be able to fully cover all potential hazards, resulting in monitoring blind spots. This could lead to some potential risk factors not being detected and addressed in a timely manner, increasing the likelihood of accidents. Therefore, we need to continuously optimize and improve technologies to better meet the needs of safe production. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] In view of the shortcomings of existing technologies, this invention provides an emergency response method and system for major safety accidents in factory areas, which has the advantage of being able to prevent potential risk factors in advance and solves the problem of monitoring blind spots in the current monitoring system.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: an emergency response method for major safety accidents in a factory area, the method comprising the following steps:

[0008] Step 1: Establish a real-time monitoring module, a real-time data acquisition module, a real-time analysis module, a real-time management module, and a real-time early warning module;

[0009] Step 2: The real-time monitoring module collects various data within the factory area by integrating sensors and monitoring equipment;

[0010] Step 3: Divide the real-time acquisition module into a gas unit, a container unit, a wastewater unit, and a storage unit;

[0011] Step 4: The real-time analysis module is divided into a gas processing unit, a container processing unit, a wastewater treatment unit, and a storage processing unit;

[0012] Step 5: The sub-units of the real-time analysis module calculate the toxic gas exceeding standard area Wq, dust exceeding standard area Fg, container pressure exceeding standard area Yr, pipeline pressure exceeding standard area Ez, sewage tank exceeding standard area Li, and warehouse hazard coefficient Awy.

[0013] Step Six: The real-time management module manages the out-of-standard data of equipment, pipelines, pressure vessels, sewage tanks, and warehouses in each sub-unit based on the calculation results of the real-time analysis module.

[0014] Step 7: Upon receiving the information indicating that the standard has been exceeded, the real-time early warning module immediately issues an emergency handling instruction.

[0015] Preferably, the emergency response system for major safety accidents in the factory area includes a real-time monitoring module, a real-time data acquisition module, a real-time analysis module, a real-time management module, and a real-time early warning module;

[0016] The real-time monitoring module collects various data within the plant area by integrating sensors and monitoring equipment, including the operating status of production equipment, process parameters, hazardous materials storage conditions, wastewater treatment system and ambient air data. The real-time monitoring module is connected to the real-time acquisition module via a network.

[0017] The real-time acquisition module includes a gas unit, a container unit, a wastewater unit, and a storage unit;

[0018] The gas unit automatically collects data on toxic gases and dust in the air using gas detectors and dust samplers installed around the equipment and pipelines. After numbering, the data is transmitted to the real-time analysis module via the network. The container unit automatically collects container pressure data and pipeline pressure data using online pressure gauges installed around the pressure vessel and at pipeline bends. After numbering, the data is transmitted to the real-time analysis module via the network. The wastewater unit automatically collects wastewater exceeding standards data using online monitoring gauges installed around the wastewater tank. After numbering, the data is transmitted to the real-time analysis module via the network. The storage unit automatically collects data on toxic gases, dust, and smoke in the warehouse using gas detectors, dust samplers, and smoke sensors installed in the warehouse. The real-time acquisition module is connected to the real-time analysis module via the network.

[0019] The real-time analysis module includes a gas processing unit, a container processing unit, a wastewater treatment unit, and a storage processing unit;

[0020] The gas processing unit calculates the toxic gas exceeding the standard area Wq and the dust exceeding the standard area Fg based on toxic gas data and dust data; the container processing unit calculates the container pressure exceeding the standard area Yr and the pipeline pressure exceeding the standard area Ez based on container pressure data and pipeline pressure data; the sewage treatment unit calculates the sewage tank exceeding the standard area Li based on sewage exceeding the standard data; the storage unit calculates the warehouse hazard factor Awy based on warehouse toxic gas data, warehouse dust data, and warehouse smoke data; the real-time analysis module and the real-time management module are connected via a network.

[0021] The real-time management module manages the data on exceeding standards for equipment, pipelines, pressure vessels, sewage tanks, and warehouses based on the areas with excessive toxic gases (Wq), excessive dust (Fg), excessive container pressure (Yr), excessive pipeline pressure (Ez), excessive sewage tank (Li), and the warehouse hazard coefficient (Awy).

[0022] Upon receiving information indicating that the standard has been exceeded, the real-time early warning module immediately issues an emergency response command.

[0023] Preferably, the gas unit assigns valid data numbers based on the characteristics of toxic gas data and dust data in the air, wherein the toxic gas data numbers in the air are Q1, Q2, Q3, ... Q n The data on dust in the air are numbered G1, G2, G3, ... G m .

[0024] Preferably, the gas processing unit calculates the toxic gas exceeding the standard area Wq and the dust exceeding the standard area Fg based on the toxic gas data and dust data, and the calculation formula is as follows:

[0025]

[0026] In the formula, Wq represents the area where toxic gases exceed the standard, and Fg represents the area where dust exceeds the standard. This represents toxic gas data within half of the standard range (Q1, Q2, Q3, ... Q). n () represents data on toxic gases in the air, where 1…n represents the type of toxic gas. This represents dust data within half of the standard range, (G1, G2, G3, ... G m ) represents the data of dust in the air, and 1…m indicates that there are 1 to m types of dust.

[0027] Preferably, the container units are numbered according to the characteristics of container pressure data and pipeline pressure data, and the container pressure data are numbered R1, R2, R3, ... R n The pipeline pressure data are numbered Z1, Z2, Z3, ... Z m .

[0028] Preferably, the container processing unit calculates the container pressure exceeding the standard area Yr and the pipeline pressure exceeding the standard area Qz based on the container pressure data and pipeline pressure data, and the calculation formula is as follows:

[0029]

[0030] In the formula, Yr represents the area where the container pressure exceeds the limit, and Qz represents the area where the pipeline pressure exceeds the limit. This represents pressure data representing 2 / 3 of the standard range for the container (R1, R2, R3, ... R).n () represents container pressure data, and 1…n represents the number of containers. This represents pressure data for 2 / 3 of the standard pipeline range (Z1, Z2, Z3, ... Z). m ) represents pipeline pressure data, and 1…m indicates that there are 1 to m pressure measuring instruments installed on the pipeline.

[0031] Preferably, the wastewater units are numbered according to the characteristics of wastewater exceeding standards, and the wastewater exceeding standards data are numbered I1, I2, I3, ... n .

[0032] Preferably, the wastewater treatment unit calculates the area Li of the wastewater tank that exceeds the standard based on the wastewater exceeding the standard data, and the calculation formula is as follows:

[0033]

[0034] In the formula, the area of ​​the sewage tank exceeding the standard represents Li. Data representing half of the standard range for pollutants in wastewater treatment plants, (I1, I2, I3, ... I n ) represents wastewater exceeding standards, and 1…n represents the types of pollutants.

[0035] Preferably, the storage unit is numbered according to the characteristics of warehouse toxic gas data, warehouse dust data, and warehouse smoke data, with the warehouse toxic gas data numbered Qw1, Qw2, Qw3, ... Qw n The warehouse dust data is numbered Gw1, Gw2, Gw3, ... Gw m The warehouse smoke data are numbered Y1, Y2, Y3, ... Y v .

[0036] Preferably, the storage unit calculates the warehouse hazard factor Awy based on warehouse toxic gas data, warehouse dust data, and warehouse smoke data, using the following formula:

[0037]

[0038] In the formula, Awy represents the warehouse hazard factor. This indicates the hazard factor of toxic gases in the warehouse. This represents the hazard factor of dust in the warehouse, (Yy1, Yy2, Yy3, ..., Yy v This represents the standard data for the permissible presence of smoke in the warehouse, where 1…v indicates that there are 1 to v types of smoke. The value represents the hazard factor of smoke in the warehouse. b, c, and d represent the weights of the hazard factors of toxic gases, dust, and smoke in the total hazard factor of the warehouse, respectively.

[0039] Compared with the prior art, the present invention provides an emergency response method and system for major safety accidents in factory areas, which has the following beneficial effects:

[0040] 1. This invention addresses the problem that traditional monitoring equipment cannot cover all potentially hazardous areas due to limitations in deployment location and monitoring range. This is achieved by adding sensors and monitoring devices to existing monitoring systems. These uncovered areas, i.e., monitoring blind spots, can be significantly reduced by adding more monitoring points and sensors, especially in previously uncovered areas. Furthermore, using sensors with higher precision and sensitivity enables more accurate monitoring of lower concentrations of toxic gases and dust.

[0041] 2. This invention combines monitoring equipment with calculation formulas to analyze the real-time information detected by newly added monitoring points and sensor devices in real time, ensuring that the actual exposed gas composition in the air is consistent with the monitored composition and compared with the standard gas range. In this way, measures can be taken to reduce harmful components before the calculation shows that the standard is about to be exceeded. Attached Figure Description

[0042] Figure 1 This is a diagram illustrating the steps of the method of the present invention;

[0043] Figure 2 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figure 1-2 Emergency response procedures for major safety accidents in the factory area include the following steps:

[0046] Step 1: Establish a real-time monitoring module, a real-time data acquisition module, a real-time analysis module, a real-time management module, and a real-time early warning module;

[0047] Step 2: The real-time monitoring module collects various data within the factory area by integrating sensors and monitoring equipment;

[0048] Step 3: Divide the real-time acquisition module into a gas unit, a container unit, a wastewater unit, and a storage unit;

[0049] Step 4: The real-time analysis module is divided into a gas processing unit, a container processing unit, a wastewater treatment unit, and a storage processing unit;

[0050] Step 5: The sub-units of the real-time analysis module calculate the toxic gas exceeding standard area Wq, dust exceeding standard area Fg, container pressure exceeding standard area Yr, pipeline pressure exceeding standard area Ez, sewage tank exceeding standard area Li, and warehouse hazard coefficient Awy.

[0051] Step Six: The real-time management module manages the out-of-standard data of equipment, pipelines, pressure vessels, sewage tanks, and warehouses in each sub-unit based on the calculation results of the real-time analysis module.

[0052] Step 7: Upon receiving the information indicating that the standard has been exceeded, the real-time early warning module immediately issues an emergency handling instruction.

[0053] The advantages are: In existing monitoring systems, monitoring equipment cannot cover all potentially dangerous areas due to limitations in deployment location, insufficient sensor sensitivity, or limited monitoring range. These uncovered areas are monitoring blind spots. This invention reduces the existence of blind spots by adding more monitoring points and sensors, especially in previously uncovered areas. By using sensors with higher precision and sensitivity, it can more accurately monitor lower concentrations of toxic gases and dust.

[0054] The emergency response system for major safety accidents in the factory area includes a real-time monitoring module, a real-time data acquisition module, a real-time analysis module, a real-time management module, and a real-time early warning module.

[0055] The real-time monitoring module collects various data within the plant area by integrating sensors and monitoring equipment, including the operating status of production equipment, process parameters, hazardous materials storage conditions, wastewater treatment system and ambient air data. The real-time monitoring module is connected to the real-time acquisition module via a network.

[0056] The real-time acquisition module includes a gas unit, a container unit, a wastewater unit, and a storage unit;

[0057] The gas unit automatically collects data on toxic gases and dust in the air using gas detectors and dust samplers installed around equipment and pipelines. After numbering, the data is transmitted to the real-time analysis module via the network. The container unit automatically collects pressure data from pressure vessels and pipelines using online pressure gauges installed around pressure vessels and at pipeline bends. After numbering, the data is transmitted to the real-time analysis module via the network. The wastewater unit automatically collects data on wastewater exceeding standards using online monitoring gauges installed around wastewater tanks. After numbering, the data is transmitted to the real-time analysis module via the network. The storage unit automatically collects data on toxic gases, dust, and smoke in the warehouse using gas detectors, dust samplers, and smoke sensors installed in the warehouse. The real-time acquisition module is connected to the real-time analysis module via the network.

[0058] The real-time analysis module includes a gas processing unit, a container processing unit, a wastewater treatment unit, and a storage processing unit;

[0059] The gas processing unit calculates the toxic gas exceeding the standard area Wq and the dust exceeding the standard area Fg based on toxic gas data and dust data; the container processing unit calculates the container pressure exceeding the standard area Yr and the pipeline pressure exceeding the standard area Ez based on container pressure data and pipeline pressure data; the sewage treatment unit calculates the sewage tank exceeding the standard area Li based on sewage exceeding the standard data; the storage unit calculates the warehouse hazard factor Awy based on warehouse toxic gas data, warehouse dust data, and warehouse smoke data; the real-time analysis module and the real-time management module are connected via a network.

[0060] The real-time management module manages the data on exceeding standards for equipment, pipelines, pressure vessels, sewage tanks, and warehouses based on the areas with excessive toxic gases (Wq), excessive dust (Fg), excessive container pressure (Yr), excessive pipeline pressure (Ez), excessive sewage tank (Li), and the warehouse hazard coefficient (Awy).

[0061] Upon receiving information indicating that the standard has been exceeded, the real-time early warning module immediately issues an emergency response command.

[0062] The gas unit assigns valid data numbers based on the characteristics of toxic gas and dust data in the air. The toxic gas data in the air are numbered Q1, Q2, Q3, ... Q n The data on dust in the air are numbered G1, G2, G3, ... G m .

[0063] The gas treatment unit calculates the toxic gas exceeding the standard area Wq and the dust exceeding the standard area Fg based on the toxic gas data and dust data. The calculation formula is as follows:

[0064]

[0065] In the formula, Wq represents the area where toxic gases exceed the standard, and Fg represents the area where dust exceeds the standard. This represents toxic gas data within half of the standard range (Q1, Q2, Q3, ... Q). n () represents data on toxic gases in the air, where 1…n represents the type of toxic gas. This represents dust data within half of the standard range, (G1, G2, G3, ... G m ) represents the data of dust in the air, and 1…m indicates that there are 1 to m types of dust.

[0066] The advantages are: This invention combines monitoring equipment with calculation formulas to analyze the real-time information detected by newly added monitoring points and sensor equipment in real time, ensuring that the actual exposed gas composition in the air is consistent with the monitored composition and compared with the standard gas range. In this way, measures can be taken to reduce harmful components before the calculation shows that the standard is about to be exceeded.

[0067] The container units are numbered based on the characteristics of the container pressure data and the pipeline pressure data. The container pressure data is numbered as E1, R2, R3, ... R n The pipeline pressure data are numbered Z1, Z2, Z3, ... Z m .

[0068] The container processing unit calculates the container pressure exceeding the limit area Yr and the pipeline pressure exceeding the limit area Qz based on the container pressure data and pipeline pressure data. The calculation formula is as follows:

[0069]

[0070] In the formula, Yr represents the area where the container pressure exceeds the limit, and Qz represents the area where the pipeline pressure exceeds the limit. This represents pressure data representing 2 / 3 of the standard range for the container (R1, R2, R3, ... R). n () represents container pressure data, and 1…n represents the number of containers. This represents pressure data for 2 / 3 of the standard pipeline range (Z1, Z2, Z3, ... Z). m ) represents pipeline pressure data, and 1…m indicates that there are 1 to m pressure measuring instruments installed on the pipeline.

[0071] The advantages are: This calculation formula provides a standardized method for assessing whether the pressure of containers and pipelines exceeds the standard. By adding pressure gauges to each container and pipeline and setting a standard pressure range for each container and pipeline, and then comparing the set standard with the actual monitored pressure data, the formula can accurately identify areas that exceed the safety standard. This method ensures that the obtained data is consistent with the actual pressure value, thus providing the system with accurate information for further judgment and analysis. This data processing method enables the system to make predictions in advance, thereby preventing potential safety risks, enhancing the system's predictability, and improving the overall safety of the plant area.

[0072] Wastewater units are numbered based on the characteristics of wastewater exceeding standards. The wastewater exceeding standard data are numbered as I1, I2, I3, ... I n .

[0073] The wastewater treatment unit calculates the area Li of the wastewater tank that exceeds the standard based on the wastewater exceedance data. The calculation formula is as follows:

[0074]

[0075] In the formula, the area of ​​the sewage tank exceeding the standard represents Li. Data representing half of the standard range for pollutants in wastewater treatment plants, (I1, I2, I3, ... I n ) represents wastewater exceeding standards, and 1…n represents the types of pollutants.

[0076] The advantages are: by using half of the pollutant standard range as a threshold, the calculation formula for areas exceeding the standard in sewage tanks can accurately identify the situation of exceeding the standard. At the same time, the calculation formula supports real-time data processing, which can quickly identify and respond to events exceeding the standard. This allows sewage treatment units to take measures to add or reduce chemicals in advance to deal with abnormal water conditions. Furthermore, continuous monitoring and evaluation of areas exceeding the standard helps to prevent potential sewage pollution accidents and reduce negative impacts on the environment.

[0077] The storage units are numbered according to the characteristics of warehouse toxic gas data, warehouse dust data, and warehouse smoke data. The warehouse toxic gas data are numbered Qw1, Qw2, Qw3, ... Qw n The warehouse dust data is numbered Gw1, Gw2, Gw3, ... Gw m The warehouse smoke data are numbered Y1, Y2, Y3, ... Y v .

[0078] The storage unit calculates the warehouse hazard factor Awy based on warehouse toxic gas data, warehouse dust data, and warehouse smoke data. The calculation formula is as follows:

[0079]

[0080] In the formula, Awy represents the warehouse hazard factor. This indicates the hazard factor of toxic gases in the warehouse. This represents the hazard factor of dust in the warehouse, (Yy1, Yy2, Yy3, ..., Yy v This represents the standard data for the permissible presence of smoke in the warehouse, where 1…v indicates that there are 1 to v types of smoke. The value represents the hazard factor of smoke in the warehouse. b, c, and d represent the weights of the hazard factors of toxic gases, dust, and smoke in the total hazard factor of the warehouse, respectively.

[0081] The advantages are: the formula comprehensively considers three different types of hazard factors, namely toxic gases, dust and smoke, thus providing a comprehensive safety assessment from multiple perspectives. This helps to more accurately reflect the overall safety status of the warehouse. Furthermore, as warehouse operating conditions change or new safety information becomes available, the weighting coefficients can be adjusted in a timely manner to ensure that the hazard assessment is consistent with the current risks, thereby creating a suitable solution for safe storage in the factory.

[0082] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. Emergency response methods for major safety accidents in factory areas, characterized in that, The method includes the following steps: Step 1: Establish a real-time monitoring module, a real-time data acquisition module, a real-time analysis module, a real-time management module, and a real-time early warning module; Step 2: The real-time monitoring module collects various data within the factory area by integrating sensors and monitoring equipment; Step 3: Divide the real-time acquisition module into a gas unit, a container unit, a wastewater unit, and a storage unit; Step 4: The real-time analysis module is divided into a gas processing unit, a container processing unit, a wastewater treatment unit, and a storage processing unit; Step 5: The sub-units of the real-time analysis module calculate the toxic gas exceeding standard area Wq, dust exceeding standard area Fg, container pressure exceeding standard area Yr, pipeline pressure exceeding standard area Ez, sewage tank exceeding standard area Li, and warehouse hazard coefficient Awy. Step Six: The real-time management module manages the out-of-standard data of equipment, pipelines, pressure vessels, sewage tanks, and warehouses in each sub-unit based on the calculation results of the real-time analysis module. Step 7: Upon receiving the information indicating that the standard has been exceeded, the real-time early warning module immediately issues an emergency handling instruction.

2. The emergency response system for major safety accidents in a factory area according to claim 1, characterized in that: The system includes a real-time monitoring module, a real-time data acquisition module, a real-time analysis module, a real-time management module, and a real-time early warning module; The real-time monitoring module collects various data within the plant area by integrating sensors and monitoring equipment, including the operating status of production equipment, process parameters, hazardous materials storage conditions, wastewater treatment system and ambient air data. The real-time monitoring module is connected to the real-time acquisition module via a network. The real-time acquisition module includes a gas unit, a container unit, a wastewater unit, and a storage unit; The gas unit automatically collects data on toxic gases and dust in the air using gas detectors and dust samplers installed around the equipment and pipelines. After numbering, the data is transmitted to the real-time analysis module via the network. The container unit automatically collects container pressure data and pipeline pressure data using online pressure gauges installed around the pressure vessel and at pipeline bends. After numbering, the data is transmitted to the real-time analysis module via the network. The wastewater unit automatically collects wastewater exceeding standards data using online monitoring gauges installed around the wastewater tank. After numbering, the data is transmitted to the real-time analysis module via the network. The storage unit automatically collects data on toxic gases, dust, and smoke in the warehouse using gas detectors, dust samplers, and smoke sensors installed in the warehouse. The real-time acquisition module is connected to the real-time analysis module via the network. The real-time analysis module includes a gas processing unit, a container processing unit, a wastewater treatment unit, and a storage processing unit; The gas processing unit calculates the toxic gas exceeding the standard area Wq and the dust exceeding the standard area Fg based on toxic gas data and dust data; the container processing unit calculates the container pressure exceeding the standard area Yr and the pipeline pressure exceeding the standard area Ez based on container pressure data and pipeline pressure data; the sewage treatment unit calculates the sewage tank exceeding the standard area Li based on sewage exceeding the standard data; the storage unit calculates the warehouse hazard factor Awy based on warehouse toxic gas data, warehouse dust data, and warehouse smoke data; the real-time analysis module and the real-time management module are connected via a network. The real-time management module manages the data on exceeding standards for equipment, pipelines, pressure vessels, sewage tanks, and warehouses based on the areas with excessive toxic gases (Wq), excessive dust (Fg), excessive container pressure (Yr), excessive pipeline pressure (Ez), excessive sewage tank (Li), and the warehouse hazard coefficient (Awy). Upon receiving information indicating that the standard has been exceeded, the real-time early warning module immediately issues an emergency response command.

3. The emergency response system for major safety accidents in a factory area according to claim 2, characterized in that: The gas unit assigns valid data numbers based on the characteristics of toxic gas and dust data in the air. The toxic gas data in the air are numbered Q1, Q2, Q3, ... Q n The data on dust in the air are numbered G1, G2, G3, ... G m .

4. The emergency response system for major safety accidents in a factory area according to claim 3, characterized in that: The gas processing unit calculates the toxic gas exceeding the standard area Wq and the dust exceeding the standard area Fg based on the toxic gas data and dust data. The calculation formula is as follows: In the formula, Wq represents the area where toxic gases exceed the standard, and Fg represents the area where dust exceeds the standard. This represents toxic gas data within half of the standard range (Q1, Q2, Q3, ... Q). n () represents data on toxic gases in the air, where 1…n represents the type of toxic gas. This represents dust data within half of the standard range, (G1, G2, G3, ... G m ) represents the data of dust in the air, and 1…m indicates that there are 1 to m types of dust.

5. The emergency response system for major safety accidents in a factory area according to claim 2, characterized in that: The container units are numbered based on the characteristics of the container pressure data and the pipeline pressure data, and the container pressure data are numbered R1, R2, R3, ... R n The pipeline pressure data are numbered Z1, Z2, Z3, ... Z m .

6. The emergency response system for major safety accidents in a factory area according to claim 5, characterized in that: The container processing unit calculates the container pressure exceeding the standard area Yr and the pipeline pressure exceeding the standard area Qz based on the container pressure data and pipeline pressure data. The calculation formula is as follows: In the formula, Yr represents the area where the container pressure exceeds the limit, and Qz represents the area where the pipeline pressure exceeds the limit. This represents pressure data representing 2 / 3 of the standard range for the container (R1, R2, R3, ... R). n () represents container pressure data, and 1…n represents the number of containers. This represents pressure data for 2 / 3 of the standard pipeline range (Z1, Z2, Z3, ... Z). m ) represents pipeline pressure data, and 1…m indicates that there are 1 to m pressure measuring instruments installed on the pipeline.

7. The emergency response system for major safety accidents in a factory area according to claim 1, characterized in that: The wastewater units are numbered according to the characteristics of the wastewater exceeding standards, and the wastewater exceeding standards data are numbered I1, I2, I3, ... I n .

8. The emergency response system for major safety accidents in a factory area according to claim 7, characterized in that: The wastewater treatment unit calculates the area Li of the wastewater pool that exceeds the standard based on the wastewater exceeding the standard data. The calculation formula is as follows: In the formula, the area of ​​the sewage tank exceeding the standard represents Li. Data representing half of the standard range for pollutants in wastewater treatment plants, (I1, I2, I3, ... I n ) represents wastewater exceeding standards, and 1…n represents the types of pollutants.

9. The emergency response system for major safety accidents in a factory area according to claim 1, characterized in that: The storage unit assigns numbers to the warehouse toxic gas data, warehouse dust data, and warehouse smoke data based on their characteristics. The warehouse toxic gas data are numbered Qw1, Qw2, Qw3, ... Qw n The warehouse dust data is numbered Gw1, Gw2, Gw3, ... Gw m The warehouse smoke data are numbered Y1, Y2, Y3, ... Y v .

10. The emergency response system for major safety accidents in a factory area according to claim 9, characterized in that: The storage unit calculates the warehouse hazard factor Awy based on warehouse toxic gas data, warehouse dust data, and warehouse smoke data. The calculation formula is as follows: In the formula, Awy represents the warehouse hazard factor. This indicates the hazard level of toxic gases in the warehouse. This represents the hazard factor of dust in the warehouse, (Yy1, Yy2, Yy3, ..., Yy v This represents the standard data for the permissible presence of smoke in the warehouse, where 1…v indicates that there are 1 to v types of smoke. The value represents the hazard factor of smoke in the warehouse. b, c, and d represent the weights of the hazard factors of toxic gases, dust, and smoke in the total hazard factor of the warehouse, respectively.

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