Chemical industrial park safety risk assessment and emergency response method

Abstract

The invention provides a chemical industrial park safety risk assessment and emergency response method, and relates to the field of safety engineering, and the method comprises the steps: obtaining a corresponding first real-time state based on the real-time monitoring data of each first region of a chemical industrial park; determining a risk label based on the first real-time state and the corresponding first risk; based on the risk label corresponding to each first area and an early warning model, obtaining a corresponding risk assessment level; performing early warning on the chemical industry park based on the risk assessment level and an emergency disposal database, and optimizing an early warning result, thereby performing assessment based on optimization data, and obtaining an optimization degree index; and updating an emergency disposal database based on the optimization degree index. Through state monitoring and in combination with the risk label, risk assessment of the chemical industry park is realized, major safety risks can be prevented and solved more timely and effectively, and the safety of the chemical industry park is guaranteed.

Description

Technical Field

[0001] The invention relates to the field of safety engineering, and in particular to a chemical park safety risk assessment and emergency response method. Background Art

[0002] At present, with the development of information technology, chemical parks are increasingly adopting intelligent risk management platforms to improve the level of safety management. In a chemical park, an accident at a hazardous source of an enterprise may trigger a chain reaction or a major accident. Chemical parks need to formulate detailed emergency plans to ensure that they can respond quickly and effectively when an accident occurs.

[0003] However, the existing safety risk assessment and emergency response methods have a slow response speed and cannot conduct timely assessment and update, which can easily cause losses to chemical parks.

[0004] Therefore, the present invention provides a chemical park safety risk assessment and emergency response method. Summary of the invention

[0005] The present invention provides a chemical park safety risk assessment and emergency response method, which is used to realize risk assessment of the chemical park by performing status monitoring and combining risk tags. It can prevent and resolve major safety risks more timely and effectively, ensure the safety of the chemical park, and help the chemical park develop safely and with high-quality development.

[0006] The present invention provides a chemical park safety risk assessment and emergency response method, comprising: Step 1: Based on the real-time monitoring data of each first area of ​​the chemical park, obtain a corresponding first real-time state; Step 2: Determine a risk label based on the first real-time status and the corresponding first risk; Step 3: Based on the risk label and early warning model corresponding to each first area, obtain the corresponding risk assessment level; Step 4: Based on the risk assessment level and the emergency disposal database, the chemical park is warned, and the warning result is optimized, so as to evaluate based on the optimized data and obtain an optimization degree index; Step 5: Based on the optimization degree index, the emergency response database is updated.

[0007] According to the real-time monitoring data of each first area of ​​the chemical park provided by the present invention, a corresponding first real-time state is obtained, including: Based on the real-time monitoring data of each first area of ​​the chemical park, a corresponding first data set is obtained; Based on the first area corresponding to the first data set, matching the first standard data of the corresponding area; Based on each first data set and the corresponding first standard data, obtaining a first difference set between the real-time monitoring data and the corresponding first standard data; Based on the first average value and the standard average value in each first difference set, a first real-time state of the chemical park is obtained.

[0008] According to the present invention, determining a risk label based on the first real-time status and the corresponding first risk includes: If the first real-time status does not meet the standard status, obtaining a first risk corresponding to the corresponding first area; Based on the first risk, obtaining first risk data; A risk label is determined based on the real-time monitoring data and the first risk data of the same first area.

[0009] According to the present invention, based on the risk label and the early warning model corresponding to each first area, the corresponding risk assessment level is obtained, including: Based on all first risks corresponding to each first area, obtaining first associated combinations associated therein; Based on the first association combination and the risk label of the same first area, obtaining a corresponding second association combination; Acquire a first period of a first area corresponding to a later associated risk in the second associated combination; Acquire first monitoring data of the front-associated risk corresponding to the rear-associated risk in the first period, and construct a corresponding first data point graph; Based on the second monitoring data of the post-correlation risk after the first period, construct a corresponding second data point graph; Based on the first data point graph and the second data point graph, respectively, analysis is performed to obtain a corresponding first data curve graph and a corresponding second data curve graph; Based on the first data curve graph and the corresponding first standard data curve, a corresponding first data difference graph is obtained; Based on the second data curve graph and the corresponding second standard data curve, a corresponding second data difference graph is obtained; Based on the first data difference graph and the second data difference graph, respectively analyzing to obtain a corresponding first data function and a corresponding second data function; Based on the first data function and the second data function, respectively obtain a first coefficient and a second coefficient; Comparing the first coefficient with the second coefficient to obtain a first difference between the first coefficient and the second coefficient; If the first difference is within the corresponding standard error, it is associated with the risk in the second associated combination to obtain a third associated combination; Based on the first difference set corresponding to each risk label, construct a corresponding first risk matrix; Extracting the second difference set corresponding to the front-correlated risk and the third difference set corresponding to the back-correlated risk in each pair of third-correlated combinations, thereby constructing a second risk matrix; All risk labels corresponding to each first area and the corresponding first risk matrix, all third association combinations and the corresponding second risk matrix are input into the early warning model to obtain the corresponding risk assessment level.

[0010] According to the present invention, based on the risk assessment level and the emergency disposal database, the chemical park is warned, and the warning result is optimized, so as to evaluate based on the optimized data to obtain the optimization degree index, including: Based on each warning risk in the risk assessment level and the emergency response database, corresponding emergency response information and corresponding identification code are obtained; Based on the identification code and the identification resolution system, corresponding real-time park information is obtained; Based on the emergency response information and the corresponding real-time park information, an early warning is issued to the chemical park.

[0011] According to the present invention, based on the risk assessment level and the emergency disposal database, the chemical park is warned, and the warning result is optimized, so as to evaluate based on the optimized data to obtain the optimization degree index, and also includes: Obtain the third monitoring data of an optimization cycle after optimization corresponding to each early warning risk; Based on the third monitoring data and the third standard data corresponding to all warning risks, the corresponding optimization degree index is calculated.

[0012] According to the third monitoring data and the third standard data corresponding to all early warning risks provided by the present invention, the corresponding optimization degree index is calculated, including: ; ; Where D represents the optimization degree index of the optimized data; n represents the number of early warning risks; Represents the preset optimization coefficient of the early warning risk; Indicates the first The calculation coefficient of the early warning risk; Indicates the first The optimization weight of each early warning risk; represents the optimized weight of the i-1th warning risk among all warning risks; Indicates the first An optimization index for early warning risks; Indicates the number of moments corresponding to the warning risk; Indicates the first The first warning risk The third monitoring data at a certain moment; Indicates the first The first warning risk The third standard data at a certain moment.

[0013] According to the present invention, the emergency response database is updated based on the optimization degree index, including: If the optimization degree index is greater than the preset optimization degree index, the optimization degree index and the corresponding emergency response information are input into the emergency response optimization model to obtain the corresponding updated emergency response information; Based on the updated emergency handling information, the emergency handling database is updated.

[0014] A chemical park provided by the present invention analyzes the safety risk assessment and emergency response method of the chemical park, realizes risk assessment of the chemical park by performing status monitoring and combining risk tags, can prevent and resolve major safety risks more timely and effectively, ensure the safety of the chemical park, and help the chemical park develop safely and with high quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 The present invention provides a flow chart of a method for safety risk assessment and emergency response in a chemical park. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0018] Embodiment 1: The embodiment of the present invention provides a chemical park safety risk assessment and emergency response method, such as Figure 1 As shown, including: Step 1: Based on the real-time monitoring data of each first area of ​​the chemical park, obtain a corresponding first real-time state; Step 2: Determine a risk label based on the first real-time status and the corresponding first risk; Step 3: Based on the risk label and early warning model corresponding to each first area, obtain the corresponding risk assessment level; Step 4: Based on the risk assessment level and the emergency disposal database, an early warning is issued to the chemical park, and the optimization data after the early warning is evaluated to obtain an optimization degree index; Step 5: Based on the optimization degree index, the emergency response database is updated.

[0019] In this embodiment, the first area refers to an area for each chemical produced, which is obtained by classifying the areas of the chemical park according to the types of chemicals produced in the chemical park.

[0020] In this embodiment, the real-time monitoring data refers to the data acquired by sensors in each first area of ​​the chemical park in real time.

[0021] In this embodiment, the first real-time status refers to a safe status of production corresponding to the first area.

[0022] In this embodiment, the first risk refers to all risks that may occur in each first area.

[0023] In this embodiment, the risk label refers to the name of the possible risk corresponding to the first real-time status.

[0024] In this embodiment, the early warning model refers to a model obtained by training with data of each risk in each first area and the corresponding danger.

[0025] In this embodiment, the risk assessment level refers to the possibility of occurrence of all risks in the chemical park obtained by analyzing the risk labels and early warning models corresponding to each first area.

[0026] In this embodiment, the emergency response database refers to the emergency response information and identification codes corresponding to each risk. Among them, the emergency response information refers to the actions required to deal with the risk, such as remote control to close the valve and evacuate the staff. The identification code refers to a coded character obtained by registering a specific person or machine that receives emergency response information such as the park manager, the enterprise safety manager, and the relevant valve controller into the identification resolution system. The identification resolution system refers to a system that can register, query, modify, and configure the objects to which the emergency response information is issued.

[0027] In this embodiment, the optimization data refers to the production rate of the corresponding first area obtained in an optimization cycle after the early warning, wherein the optimization cycle refers to the time required for optimization of each risk, and wherein the production rate refers to the production efficiency of chemical products produced in the corresponding first area after an optimization cycle.

[0028] In this embodiment, the optimization degree index refers to an index indicating the degree of risk optimization and mitigation obtained by evaluating and calculating the optimization data after the early warning.

[0029] The beneficial effects of the above technical solution are: by conducting status monitoring and combining risk labels, risk assessment of chemical parks can be achieved, which can prevent and resolve major safety risks more promptly and effectively, ensure the safety of chemical parks, and help chemical parks develop safely and with high quality.

[0030] Embodiment 2: Based on Example 1, based on the real-time monitoring data of each first area of ​​the chemical park, a corresponding first real-time state is obtained, including: Based on the real-time monitoring data of each first area of ​​the chemical park, a corresponding first data set is obtained; Based on the first area corresponding to the first data set, matching the first standard data of the corresponding area; Based on each first data set and the corresponding first standard data, obtaining a first difference set between the real-time monitoring data and the corresponding first standard data; Based on the first average value and the standard average value in each first difference set, a first real-time state of the chemical park is obtained.

[0031] In this embodiment, the first data set refers to a set of real-time monitoring data of all sensors in the first area.

[0032] In this embodiment, the first default data refers to data acquired by each sensor under normal production.

[0033] In this embodiment, the first difference set refers to the difference values ​​of data acquired by the same sensor at each moment.

[0034] In this embodiment, the first average value refers to the average value of all difference values ​​in the first difference set.

[0035] In this embodiment, the standard average value refers to the average value of all difference values ​​of the first difference set under normal production.

[0036] The beneficial effect of the above technical solution is: by analyzing the real-time monitoring data of each first area of ​​the chemical park, the corresponding first real-time status is obtained, which is conducive to accurately analyzing the real-time monitoring data and ensuring the production safety of the chemical park.

[0037] Embodiment 3: Based on embodiment 1, it is characterized in that determining the risk label based on the first real-time status and the corresponding first risk includes: If the first real-time status does not meet the standard status, obtaining a first risk corresponding to the corresponding first area; Based on the first risk, obtaining first risk data; A risk label is determined based on the real-time monitoring data and the first risk data of the same first area.

[0038] In this embodiment, the standard state refers to a safe state of each first area under normal production.

[0039] In this embodiment, the first risk data refers to data on the impact of the first risk on production.

[0040] The beneficial effect of the above technical solution is: by analyzing the first real-time status and the corresponding first risk, the risk label is matched and determined, which is conducive to the subsequent accurate determination of possible risks.

[0041] Embodiment 4: Based on Example 2, based on the risk label and early warning model corresponding to each first area, the corresponding risk assessment level is obtained, including: Based on all first risks corresponding to each first area, obtaining first associated combinations associated therein; Based on the first association combination and the risk label of the same first area, obtaining a corresponding second association combination; Acquire a first period of a first area corresponding to a later associated risk in the second associated combination; Acquire first monitoring data of the front-associated risk corresponding to the rear-associated risk in the first period, and construct a corresponding first data point graph; Based on the second monitoring data of the post-correlation risk after the first period, construct a corresponding second data point graph; Based on the first data point graph and the second data point graph, respectively, analysis is performed to obtain a corresponding first data curve graph and a corresponding second data curve graph; Based on the first data curve graph and the corresponding first standard data curve, a corresponding first data difference graph is obtained; Based on the second data curve graph and the corresponding second standard data curve, a corresponding second data difference graph is obtained; Based on the first data difference graph and the second data difference graph, respectively analyzing to obtain a corresponding first data function and a corresponding second data function; Based on the first data function and the second data function, respectively obtain a first coefficient and a second coefficient; Comparing the first coefficient with the second coefficient to obtain a first difference between the first coefficient and the second coefficient; If the first difference is within the corresponding standard error, it is associated with the risk in the second associated combination to obtain a third associated combination; Based on the first difference set corresponding to each risk label, construct a corresponding first risk matrix; Extracting the second difference set corresponding to the front-correlated risk and the third difference set corresponding to the back-correlated risk in each pair of third-correlated combinations, thereby constructing a second risk matrix; All risk labels corresponding to each first area and the corresponding first risk matrix, all third association combinations and the corresponding second risk matrix are input into the early warning model to obtain the corresponding risk assessment level.

[0042] In this embodiment, the first associated combination refers to a combination of risks that have an associated relationship among all first risks corresponding to the first area, and the risks are arranged in the order of impact and being affected.

[0043] In this embodiment, the second association combination refers to a first association combination in which the risk tag of the first region has at least one common risk in all the first association combinations.

[0044] In this embodiment, the later associated risk refers to the later risk in the second associated combination.

[0045] In this embodiment, the first cycle refers to a cycle of production in the first area.

[0046] In this embodiment, the previous associated risk refers to the previous risk in the second associated combination.

[0047] In this embodiment, the first monitoring data refers to the production rate of the previous associated risk at each moment in the first cycle.

[0048] In this embodiment, the first data point graph refers to a point graph in which the first monitoring data are arranged in time sequence.

[0049] In this embodiment, the second monitoring data refers to the production rate of the post-associated risk at each moment of the first period.

[0050] In this embodiment, the second data point graph refers to a point graph in which the second monitoring data are arranged in time sequence.

[0051] In this embodiment, the first data curve refers to a curve graph obtained by performing a fitting analysis on the first data point graph.

[0052] In this embodiment, the second data curve refers to a curve graph obtained by performing a fitting analysis on the second data point graph.

[0053] In this embodiment, the first standard data curve refers to a first data curve graph of the corresponding first area under normal production.

[0054] In this embodiment, the second standard data curve refers to a second data curve graph of the corresponding first area under normal production.

[0055] In this embodiment, the first data difference point diagram refers to a point diagram constructed by the difference between the corresponding values ​​of the first data curve diagram and the corresponding first standard data curve at the same time.

[0056] In this embodiment, the second data difference point diagram refers to a point diagram constructed by the difference between the corresponding values ​​of the second data curve diagram and the corresponding first standard data curve at the same time.

[0057] In this embodiment, the first data function refers to a function representing the change trend of the point diagram obtained by performing fitting analysis on the first data difference point diagram.

[0058] In this embodiment, the second data function refers to a function representing the change trend of the point diagram obtained by performing fitting analysis on the second data difference point diagram.

[0059] In this embodiment, the first coefficient refers to the coefficient of the independent variable of the first data function.

[0060] In this embodiment, the second coefficient refers to the coefficient of the independent variable of the second data function.

[0061] In this embodiment, the first difference refers to the difference between the first coefficient and the second coefficient.

[0062] In this embodiment, the standard error refers to the normal error of the difference between the first coefficient and the second coefficient when the two risks are associated.

[0063] In this embodiment, the third associated combination refers to a combination of two risks corresponding to the first difference within the standard error.

[0064] In this embodiment, the first risk matrix refers to a matrix representing the possibility of risk occurrence constructed by all data in the first difference set corresponding to the risk label and the risk level in the risk level comparison table. Among them, the risk level comparison table refers to a table that compares the difference value corresponding to each moment in the first difference set and the corresponding risk level one by one.

[0065] In this embodiment, the second difference set refers to the first difference set of pre-association risks of the third association combination.

[0066] In this embodiment, the third difference set refers to the first difference set of post-association risks of the third association combination.

[0067] In this embodiment, the second risk matrix refers to a matrix representing the possibility of risk occurrence constructed by combining all the data of the second difference set and the third difference set and the risk levels in the risk level comparison table. The risk level comparison table refers to a table that compares the corresponding difference value at each moment in the first difference set with the corresponding risk level.

[0068] The beneficial effects of the above technical solution are: by analyzing the risk labels corresponding to each first area, analyzing the correlation of all risks, inputting them into the early warning model, and obtaining the corresponding risk assessment level, major safety risks can be effectively prevented and resolved, production safety can be ensured, data sharing within the park can be achieved, and the safe and high-quality development of chemical parks can be promoted.

[0069] Embodiment 5: Based on Example 1, based on the risk assessment level and the emergency disposal database, the chemical park is warned, and the warning result is optimized, so as to evaluate based on the optimized data to obtain the optimization degree index, including: Based on each warning risk in the risk assessment level and the emergency response database, corresponding emergency response information and corresponding identification code are obtained; Based on the identification code and the identification resolution system, corresponding real-time park information is obtained; Based on the emergency response information and the corresponding real-time park information, an early warning is issued to the chemical park.

[0070] In this embodiment, the emergency response information refers to the actions that need to be taken to deal with the risk, such as remote control to close valves and evacuate staff.

[0071] In this embodiment, the identification code refers to a coded character obtained by registering a specific person or machine receiving emergency handling information such as a park manager, an enterprise safety manager, or a related valve controller into the identification resolution system.

[0072] In this embodiment, the identity resolution system refers to a system that can register, query, modify, and configure the object to which the emergency processing information is issued.

[0073] In this embodiment, the real-time park information refers to the service information of the park manager, enterprise security manager, related valve controller, etc. corresponding to the identification code in the identification resolution system to receive emergency processing information.

[0074] The beneficial effect of the above technical solution is: by analyzing the risk assessment level and the emergency disposal database, early warning is given to the chemical park to ensure the production safety of the chemical park.

[0075] Embodiment 6: Based on Example 5, based on the risk assessment level and the emergency disposal database, the chemical park is warned, and the warning result is optimized, so as to evaluate based on the optimized data to obtain the optimization degree index, and also includes: Obtain the third monitoring data of an optimization cycle after optimization corresponding to each early warning risk; Based on the third monitoring data and the third standard data corresponding to all warning risks, the corresponding optimization degree index is calculated.

[0076] In this embodiment, the optimization period refers to the time required for optimizing each risk.

[0077] In this embodiment, the third monitoring data refers to the production rate of the corresponding first area obtained in an optimization cycle after the early warning.

[0078] In this embodiment, the third standard data refers to the production rate of the corresponding first area obtained in an optimization cycle after an early warning under normal production conditions.

[0079] The beneficial effect of the above technical solution is: by evaluating the optimized data after the early warning, the optimization degree index is obtained, and accurate evaluation is performed, which is conducive to optimizing the emergency response information and improving the efficiency of risk resolution.

[0080] Embodiment 7: Based on Example 6, based on the third monitoring data and the third standard data corresponding to all warning risks, the corresponding optimization degree index is calculated, including: ; ; Where D represents the optimization degree index of the optimized data; n represents the number of early warning risks; Indicates the preset optimization coefficient of the early warning risk; Indicates the first The calculation coefficient of the early warning risk; Indicates the first The optimization weight of each early warning risk; represents the optimized weight of the i-1th warning risk among all warning risks; Indicates the first An optimization index for early warning risks; Indicates the number of moments corresponding to the warning risk; Indicates the first The first warning risk The third monitoring data at a certain moment; Indicates the first The first warning risk The third standard data at a certain moment.

[0081] In this embodiment, the preset optimization coefficient refers to a coefficient corresponding to a preset optimization rate.

[0082] In this embodiment, the calculation coefficient refers to the calculation coefficient corresponding to each risk.

[0083] In this embodiment, the optimization weight refers to a numerical value corresponding to each risk that indicates the importance.

[0084] In this embodiment, the optimization index refers to an index indicating the rate of the optimization process of each risk.

[0085] The beneficial effect of the above technical solution is: by evaluating and calculating the optimized data after the early warning, the optimization degree index is obtained, and accurate evaluation is performed, which is conducive to optimizing the emergency response information.

[0086] Embodiment 8: Based on the first embodiment, the emergency response database is updated based on the optimization degree index, including: If the optimization degree index is greater than the preset optimization degree index, the optimization degree index and the corresponding emergency response information are input into the emergency response optimization model to obtain the corresponding updated emergency response information; Based on the updated emergency handling information, the emergency handling database is updated.

[0087] In this embodiment, the preset optimization degree index refers to a preset index indicating the degree of risk optimization and mitigation.

[0088] In this embodiment, the emergency response optimization model refers to a model trained by risks and corresponding optimal emergency response information.

[0089] The beneficial effect of the above technical solution is: by analyzing the optimization degree index, the emergency response database is updated, which is conducive to optimizing the emergency response information and improving the efficiency of risk resolution.

[0090] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A chemical park safety risk assessment and emergency response method, characterized in that: include: Step 1: Based on the real-time monitoring data of each first area of ​​the chemical park, obtain a corresponding first real-time state; Step 2: Determine a risk label based on the first real-time status and the corresponding first risk; Step 3: Based on the risk label and early warning model corresponding to each first area, obtain the corresponding risk assessment level; Step 4: Based on the risk assessment level and the emergency disposal database, the chemical park is warned, and the warning result is optimized, so as to evaluate based on the optimized data and obtain an optimization degree index; Step 5: Based on the optimization degree index, the emergency response database is updated.

2. A chemical park safety risk assessment and emergency response method according to claim 1, characterized in that: Based on the real-time monitoring data of each first area of ​​the chemical park, a corresponding first real-time state is obtained, including: Based on the real-time monitoring data of each first area of ​​the chemical park, a corresponding first data set is obtained; Based on the first area corresponding to the first data set, matching the first standard data of the corresponding area; Based on each first data set and the corresponding first standard data, obtaining a first difference set between the real-time monitoring data and the corresponding first standard data; Based on the first average value and the standard average value in each first difference set, a first real-time state of the chemical park is obtained.

3. A chemical park safety risk assessment and emergency response method according to claim 1, characterized in that: Determining a risk label based on the first real-time status and the corresponding first risk includes: If the first real-time status does not meet the standard status, obtaining a first risk of the corresponding first area; Based on the first risk, obtaining first risk data; A risk label is determined based on the real-time monitoring data and the first risk data of the same first area.

4. A chemical park safety risk assessment and emergency response method according to claim 2, characterized in that: Based on the risk labels and early warning models corresponding to each first area, the corresponding risk assessment level is obtained, including: Based on all first risks corresponding to each first area, obtaining first associated combinations associated therein; Based on the first association combination and the risk label of the same first area, obtaining a corresponding second association combination; Acquire a first period of a first area corresponding to a later associated risk in the second associated combination; Acquire first monitoring data of the front-associated risk corresponding to the rear-associated risk in the first period, and construct a corresponding first data point graph; Based on the second monitoring data of the post-correlation risk after the first period, construct a corresponding second data point graph; Based on the first data point graph and the second data point graph, respectively, analysis is performed to obtain a corresponding first data curve graph and a corresponding second data curve graph; Based on the first data curve graph and the corresponding first standard data curve, a corresponding first data difference graph is obtained; Based on the second data curve graph and the corresponding second standard data curve, a corresponding second data difference graph is obtained; Based on the first data difference graph and the second data difference graph, respectively analyzing to obtain a corresponding first data function and a corresponding second data function; Based on the first data function and the second data function, respectively obtain a first coefficient and a second coefficient; Comparing the first coefficient with the second coefficient to obtain a first difference between the first coefficient and the second coefficient; If the first difference is within the corresponding standard error, it is associated with the risk in the second associated combination to obtain a third associated combination; Based on the first difference set corresponding to each risk label, construct a corresponding first risk matrix; Extracting the second difference set corresponding to the front-correlated risk and the third difference set corresponding to the back-correlated risk in each pair of third-correlated combinations, thereby constructing a second risk matrix; All risk labels corresponding to each first area and the corresponding first risk matrix, all third association combinations and the corresponding second risk matrix are input into the early warning model to obtain the corresponding risk assessment level.

5. A chemical park safety risk assessment and emergency response method according to claim 1, characterized in that: Based on the risk assessment level and the emergency disposal database, the chemical park is warned and the warning results are optimized, so as to evaluate based on the optimized data and obtain the optimization degree index, including: Based on each warning risk in the risk assessment level and the emergency response database, corresponding emergency response information and corresponding identification code are obtained; Based on the identification code and the identification resolution system, corresponding real-time park information is obtained; Based on the emergency response information and the corresponding real-time park information, an early warning is issued to the chemical park.

6. A chemical park safety risk assessment and emergency response method according to claim 5, characterized in that: Based on the risk assessment level and the emergency disposal database, the chemical park is warned and the warning result is optimized, so as to evaluate based on the optimized data and obtain the optimization degree index, which also includes: Obtain the third monitoring data of an optimization cycle after optimization corresponding to each early warning risk; Based on the third monitoring data and the third standard data corresponding to all warning risks, the corresponding optimization degree index is calculated.

7. A chemical park safety risk assessment and emergency response method according to claim 6, characterized in that: Based on the third monitoring data and third standard data corresponding to all early warning risks, the corresponding optimization degree index is calculated, including: ； ； Where D represents the optimization degree index of the optimized data; n represents the number of early warning risks; Indicates the preset optimization coefficient of the early warning risk; Indicates the first The calculation coefficient of the early warning risk; Indicates the first The optimization weight of each early warning risk; represents the optimized weight of the i-1th warning risk among all warning risks; Indicates the first An optimization index for early warning risks; Indicates the number of moments corresponding to the warning risk; Indicates the first The first warning risk The third monitoring data at a certain moment; Indicates the first The first warning risk The third standard data at a certain moment.

8. A chemical park safety risk assessment and emergency response method according to claim 1, characterized in that: Based on the optimization degree index, the emergency response database is updated, including: If the optimization degree index is greater than a preset optimization degree index, the optimization degree index and the corresponding emergency response information are input into the emergency response optimization model to obtain the corresponding updated emergency response information; Based on the updated emergency handling information, the emergency handling database is updated.

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