Chemical park environmental anomaly response method and system based on machine learning model

Abstract

The present application relates to the technical field of chemical environmental abnormality response, and discloses a method and system for chemical park environmental abnormality response based on a machine learning model, the method comprising setting a collection end, building an environmental response pre-model, building an environmental response model, building an environmental abnormality response model, and executing an environmental abnormality response plan. The system corresponds to the method. The present application realizes effective supervision of chemical parks through the collection end and provides an accurate data basis for environmental abnormality response. Through scientific and systematic model construction and data analysis, it realizes the rationality judgment of environmental abnormality response plans, realizes optimized configuration, rapid and accurate accident response, and efficient response decision-making, thereby improving the abnormal environment response capabilities of chemical parks, minimizing accident losses, and protecting the safety of life and property and the ecological environment.

Description

Technical Field

[0001] The present application relates to the technical field of chemical environmental anomaly response, and specifically to a chemical park environmental anomaly response method and system based on a machine learning model. Background Art

[0002] In modern industry, in order to optimize the production structure, units involved in the production or storage of many chemicals are relatively concentrated in chemical parks, and the harm caused by accidents is often shocking. Therefore, it is necessary to study the supervision of chemical parks and the corresponding emergency response plans.

[0003] However, looking at the existing emergency response in chemical parks, it is not difficult to find the following problems:

[0004] 1. The complexity and uncertainty of accidents lead to difficulties in supervising chemical parks.

[0005] 2. Difficulties in the rational allocation of emergency resources and untimely information transmission lead to confusion in response plans.

[0006] 3. It is difficult to judge the rationality of the response plan.

[0007] In summary, the existing technology urgently needs a technical solution for responding to environmental anomalies in chemical parks based on machine learning models. Summary of the invention

[0008] The purpose of this application is to provide a method and system for responding to environmental anomalies in a chemical park based on a machine learning model to solve the technical problems raised in the above background technology.

[0009] To achieve the above objectives, this application discloses the following technical solutions:

[0010] In a first aspect, the present application discloses a method for dealing with environmental anomalies in a chemical park based on a machine learning model, the method comprising:

[0011] S1: A corresponding collection terminal is set at each emergency sign point in the chemical park, and the collection terminal is used to collect corresponding environmental data representing environmental abnormalities and personnel passing data; the environmental data includes atmospheric data, water resources data, soil data and meteorological data; the personnel passing data specifically refers to the time and number of personnel passing through the collection terminal;

[0012] S2: construct an environmental response pre-model corresponding to the environment of the chemical park; the environmental response pre-model stores three-dimensional data corresponding to the chemical park and corresponding environmental indicators for environmental supervision, the environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies;

[0013] S3: Setting the acquisition end in the environmental response pre-model, obtaining a corresponding acquisition chain based on the environmental indicator; defining the environmental response pre-model with the acquisition chain as an environmental response model; the acquisition chain stores the order of occurrence of environmental abnormality response requirements;

[0014] S4: setting a corresponding environmental anomaly response pre-plan for the collection end of the environmental response model, running the environmental response model to verify the environmental anomaly response pre-plan, and defining the verified environmental anomaly response pre-plan as the environmental anomaly response plan; defining the environmental response model with the environmental anomaly response plan as the environmental anomaly response model;

[0015] S5: Run the environmental anomaly response model to supervise the chemical park and determine whether there is a need to respond to environmental anomalies. If yes, execute the corresponding environmental anomaly response plan; otherwise, repeat step S5.

[0016] Preferably, the environmental response pre-model stores three-dimensional data corresponding to the chemical park and corresponding environmental indicators for environmental supervision, specifically including:

[0017] Modeling by using 3D modeling technology, storing the three-dimensional data of the chemical park into the environmental response pre-model;

[0018] The environmental indicators corresponding to the environmental data are obtained by using a preset chemical park expert database, and the environmental indicators are stored in the environmental response pre-model.

[0019] Preferably, the environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies, specifically including:

[0020] Acquire the real-time environmental data obtained by the acquisition end and analyze it to obtain real-time atmospheric data, real-time water resources data and real-time soil data;

[0021] When the real-time atmospheric data does not meet the atmospheric index, it is determined that there is a need to deal with an abnormal environment;

[0022] When the real-time water resource data does not meet the water resource index, it is determined that there is a need to respond to environmental anomalies;

[0023] When the real-time soil data does not meet the soil index, it is determined that there is a need to respond to environmental anomalies.

[0024] Preferably, the step of setting the acquisition terminal in the environmental response pre-model specifically includes:

[0025] Based on the emergency marking point corresponding to the acquisition end, the three-dimensional data is used to configure an acquisition diagram at a corresponding position in the environmental response pre-model, and the environmental data is stored in the acquisition diagram.

[0026] Preferably, obtaining the corresponding collection chain based on the environmental indicator specifically includes:

[0027] Acquire historical environmental data, capture the historical environmental data and determine the order of responding to environmental anomalies based on the environmental indicators, define the order as the collection chain, save it, and output it in real time.

[0028] Preferably, the configuration of a corresponding environmental anomaly response plan for the collection end of the environmental response model specifically includes:

[0029] The obtained environmental anomaly response requirements are used to match the corresponding environmental anomaly response pre-plan in a preset chemical park expert database, wherein the matching process specifically includes the following steps:

[0030] A1: Determine the demand type corresponding to the environmental anomaly response demand, which includes air emergency rescue, water resources emergency rescue and soil emergency rescue;

[0031] A2: Based on the demand type obtained in step A1, at least one emergency rescue plan is matched in a preset chemical park expert database, and at least one set of corresponding emergency resources is configured;

[0032] A3: The result of matching and configuring in step A2 is defined as the preparatory plan for dealing with the environmental abnormality.

[0033] Preferably, the running of the environmental response model to verify the environmental anomaly response pre-plan and defining the verified environmental anomaly response pre-plan as an environmental anomaly response plan specifically comprises the following steps:

[0034] B1: Based on the demand type and the pre-plan for dealing with environmental anomalies, if there is personnel evacuation during the emergency rescue process, execute step B2; otherwise, execute step B3;

[0035] B2: Run the environmental response model and obtain the personnel passing data, and verify the environmental abnormality response plan using the personnel evacuation formula, wherein the personnel evacuation formula is specifically:

[0036]

[0037]

[0038] in: is the preset time threshold between collection terminals; The first arrival number is The moment of the collection end; The number of the later arrival is The moment of the collection end; is the time discrimination function, which is used to characterize whether to select numbered The collection end to the number is The collection end is used as the evacuation route for personnel, and it is judged that when , when the judgment is no ; is the population density that varies with the collection chain and evacuation process; Correction parameters for preset population density; is the initial personnel evacuation speed; for The distance length corresponding to the series acquisition chain; for the summation symbol; It is the personnel evacuation time judgment index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the evacuation route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when When it is judged as no, it means that it has not passed the verification;

[0039] B3: Run the environmental response model and obtain the environmental data, and verify the environmental anomaly response plan using an environmental rescue formula, wherein the environmental rescue formula is specifically:

[0040]

[0041] in: is the preset environmental propagation speed; for The length of the distance corresponding to the series of collection chains; The first arrival number is The moment of the collection end; The number of the later arrival is The moment of the collection end; for the summation symbol; It is the environmental diffusion time discrimination index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the disposal route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when If the value is negative, it indicates that the verification has not been passed.

[0042] Preferably, the operation of the environmental anomaly response model to supervise the chemical park specifically includes:

[0043] Collecting real-time environmental data and real-time personnel passing data through the collection end, and inputting the real-time environmental data and real-time personnel passing data into the environmental anomaly response model;

[0044] The environmental anomaly response model runs and uses the environmental indicators to make judgments, and when there is a need to respond to environmental anomalies, a real-time emergency signal is generated.

[0045] Preferably, the determination as to whether there is a need to deal with an environmental anomaly is to execute the corresponding environmental anomaly response plan if yes, and to repeat step S5 otherwise, specifically including the following steps:

[0046] C1: Acquire the real-time emergency signal, determine the corresponding acquisition end, read the environmental anomaly response plan stored in the acquisition end, and parse and obtain the corresponding acquisition chain;

[0047] C2: Based on the collection chain obtained in step C1, the collection end performs real-time collection, and performs real-time warning of disposal using the environmental indicators. The real-time warning of disposal is used to update the environmental abnormality response plan obtained in step C1 when the rescue disposal is in progress;

[0048] C3: Based on the updated environmental anomaly response plan obtained in step C2, the corresponding emergency resources are called to perform emergency rescue and disposal, and steps C2 and C3 are repeated until the real-time emergency signal is released.

[0049] In a second aspect, the present application discloses a chemical park environmental anomaly response system based on a machine learning model, the system is applicable to the chemical park environmental anomaly response method based on a machine learning model as described above, and the system includes:

[0050] A collection terminal setting module, wherein the collection terminal setting module is configured as follows: a corresponding collection terminal is set at each emergency sign point in the chemical park, and the collection terminal is used to collect corresponding environmental data representing environmental abnormalities and personnel passing data; the environmental data includes atmospheric data, water resources data, soil data and meteorological data; the personnel passing data specifically refers to the time and number of personnel passing through the collection terminal;

[0051] An environmental response pre-model construction module, wherein the environmental response pre-model construction module is configured to: construct an environmental response pre-model corresponding to the environment of the chemical park; the environmental response pre-model stores three-dimensional data corresponding to the chemical park and corresponding environmental indicators for environmental supervision, wherein the environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies;

[0052] An environment response model construction module, wherein the environment response model construction module is configured as follows: the acquisition end is set in the environment response pre-model, and a corresponding acquisition chain is obtained based on the environment indicator; the environment response pre-model with the acquisition chain is defined as an environment response model; the acquisition chain stores the order in which the requirements for response to environmental anomalies occur;

[0053] An environment abnormality response model construction module, the environment abnormality response model construction module is configured to: set a corresponding environment abnormality response pre-plan for the acquisition end of the environment abnormality response model, run the environment response model to verify the environment abnormality response pre-plan, and define the verified environment abnormality response pre-plan as the environment abnormality response plan; define the environment response model with the environment abnormality response plan as the environment abnormality response model;

[0054] The environment anomaly response model operation module is configured to: run the environment anomaly response model, supervise the chemical park, determine whether there is a need to respond to environmental anomalies, and if so, execute the corresponding environment anomaly response plan; otherwise, continue to run the environment anomaly response model operation module.

[0055] Beneficial effects: The method and system for responding to environmental anomalies in chemical parks based on machine learning models in this application realize effective supervision of chemical parks through the collection end and provide an accurate data basis for responding to environmental anomalies. Through scientific and systematic model construction and data analysis, the rationality of environmental anomaly response plans can be judged, and optimized configuration, rapid and accurate accident response, and efficient response decisions can be achieved, thereby improving the chemical park's ability to respond to abnormal environments, minimizing accident losses, and protecting the safety of life and property and the ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] 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 or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0057] Figure 1 A flowchart of a method for formulating emergency response in a chemical park based on an environmental anomaly response model provided in an embodiment of the present application;

[0058] Figure 2 A structural block diagram of a chemical park emergency response system based on an environmental anomaly response model provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0060] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0061] In a first aspect, this embodiment discloses Figure 1 A method for dealing with environmental anomalies in a chemical park based on a machine learning model is shown, the method comprising:

[0062] S1: Corresponding collection terminals are set up at each emergency sign point in the chemical park. The collection terminals are used to collect corresponding environmental data representing environmental anomalies and personnel passing data. Environmental data includes atmospheric data, water resources data, soil data and meteorological data. Personnel passing data specifically refers to the time and number of personnel passing through the collection terminal.

[0063] The emergency sign points in this embodiment are selected based on the emergency information left when the chemical park is designed and constructed. The collection end is set at the emergency sign point to realize the real-time and comprehensive supervision of the chemical park, effectively solving the supervision difficulties of the chemical park caused by the complexity and uncertainty of the accident. Furthermore, corresponding sensors are set at the collection end to realize the comprehensive collection of atmospheric data, water resources data, soil data and meteorological data, providing an accurate and real-time data basis for whether there is an environmental anomaly response demand and formulating emergency rescue plans.

[0064] S2: Construct an environmental response pre-model corresponding to the environment of the chemical park. The environmental response pre-model stores the three-dimensional data corresponding to the chemical park and the corresponding environmental indicators for environmental supervision. The environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies.

[0065] It should be noted that the environmental data, three-dimensional data and environmental indicators in this embodiment are all corresponding data sets, and the processing of the data sets is achieved through any existing data set processing technology, and the modeling process is any one of the existing machine learning model technologies.

[0066] S3: Set the collection end in the environmental response pre-model, and obtain the corresponding collection chain based on the environmental indicators. The environmental response pre-model with the collection chain is defined as the environmental response model. The collection chain stores the order of the environmental abnormality response requirements.

[0067] The collection chain in this embodiment realizes the overall processing of the environmental data obtained by each collection end, avoids the local optimum that occurs for a single collection end, and realizes the optimization of the environmental anomaly response plan.

[0068] S4: Set a corresponding environmental anomaly response pre-plan for the collection end of the environmental response model, run the environmental response model to verify the environmental anomaly response pre-plan, and define the verified environmental anomaly response pre-plan as the environmental anomaly response plan. Define the environmental response model with the environmental anomaly response plan as the environmental anomaly response model.

[0069] In this embodiment, the rationality of the environmental anomaly response plan is judged by verifying the environmental anomaly response plan through the running environment response model, and on this basis, the environmental anomaly response plan is optimized, emergency resources are reasonably allocated, and information is transmitted.

[0070] S5: Run the environmental abnormality response model to supervise the chemical park and determine whether there is a need to respond to environmental abnormalities. If yes, execute the corresponding environmental abnormality response plan, otherwise repeat step S5.

[0071] In this embodiment, effective supervision of the chemical park is achieved through the collection end and an accurate data basis is provided for emergency response. Through scientific and systematic model construction and data analysis, the rationality of the environmental abnormality response plan is judged, and optimized configuration, rapid and accurate accident response and efficient response decision-making are achieved, thereby improving the emergency response capability of the chemical park, minimizing accident losses, and protecting the safety of life and property and the ecological environment.

[0072] Specifically, the environmental response pre-model stores the three-dimensional data corresponding to the chemical park and the corresponding environmental indicators for environmental supervision, including:

[0073] The 3D modeling technology is used for modeling, wherein the 3D modeling technology is any one of the existing space modeling technologies, and is intended to realize the three-dimensional mapping of the chemical park in the digital space, and store the three-dimensional data of the chemical park in the environmental response pre-model.

[0074] A preset chemical park expert database is used, wherein the preset chemical park expert database is based on any existing database technology to process the expert data required in this embodiment, obtain environmental indicators corresponding to the environmental data, and store the environmental indicators in the environmental response pre-model.

[0075] Specifically, environmental indicators include atmospheric indicators, water resource indicators, and soil indicators, and are used to compare with environmental data and determine whether there is a need to respond to environmental anomalies, including:

[0076] The real-time environmental data obtained by the collection end is obtained and analyzed to obtain real-time atmospheric data, real-time water resource data and real-time soil data.

[0077] When the real-time atmospheric data does not meet the atmospheric indicators, it is determined that there is a need to respond to environmental anomalies.

[0078] When real-time water resource data does not meet water resource indicators, it is determined that there is a need to respond to environmental anomalies.

[0079] When the real-time soil data does not meet the soil indicators, it is determined that there is a need to respond to environmental anomalies.

[0080] In a simple example, when the concentration of a certain gas in the atmospheric data is greater than or equal to the gas concentration threshold in the atmospheric index, it is determined that there is a need to respond to the environmental anomaly. It can be understood that when the concentration of a certain chemical substance in the water resources data and soil data is greater than or equal to the corresponding chemical substance threshold in the corresponding water resources index and soil index, it is also determined that there is a need to respond to the environmental anomaly.

[0081] Specifically, the collection end is set in the environmental response pre-model, which specifically includes:

[0082] Based on the emergency sign points corresponding to the collection end, the collection diagram is configured at the corresponding position in the environmental response pre-model using three-dimensional data, and the environmental data is stored in the collection diagram.

[0083] It should be noted that configuring the acquisition end for the environmental response pre-model in this embodiment is to complete the mapping of each acquisition end in the digital space based on the three-dimensional data, and to complete the corresponding data query and calculation in the digital space through attribute configuration.

[0084] Specifically, the corresponding collection chain is obtained based on the environmental indicators, including:

[0085] Obtain historical environmental data, capture historical environmental data and determine the order of responding to environmental anomalies based on environmental indicators. Define the order as a collection chain and save it for real-time output.

[0086] In this embodiment, the collection chain is captured through historical environmental data, which provides a data basis for real-time chemical park supervision, judgment of the rationality of environmental anomaly response plans, and real-time updating of environmental anomaly response plans.

[0087] Specifically, the corresponding environmental anomaly response plan is configured for the collection end of the environmental response model, including:

[0088] The obtained environmental anomaly response requirements are used to match the corresponding environmental anomaly response plans in the preset chemical park expert database, wherein the matching process specifically includes the following steps:

[0089] A1: Determine the demand type corresponding to the environmental anomaly response demand, which includes air emergency rescue, water resource emergency rescue and soil emergency rescue.

[0090] A2: Based on the demand type obtained in step A1, at least one emergency rescue plan is matched in the preset chemical park expert database, and at least one set of corresponding emergency resources is configured.

[0091] A3: Define the matching and configuration results of step A2 as a pre-plan for dealing with environmental anomalies.

[0092] Specifically, the operating environment response model verifies the environment abnormality response pre-plan, and defines the verified environment abnormality response pre-plan as the environment abnormality response plan, which specifically includes the following steps:

[0093] B1: Based on the demand type and the pre-plan for dealing with environmental anomalies, if there is personnel evacuation during the emergency rescue process, execute step B2; otherwise, execute step B3.

[0094] B2: Run the environmental response model and obtain personnel passing data, and use the personnel evacuation formula to verify the environmental abnormality response plan. The personnel evacuation formula is as follows:

[0095]

[0096]

[0097] in: It is the preset time threshold between collection terminals, which is used to limit the time a person spends passing through two different collection terminals. The first arrival number is The moment of the collection end. The number of the later arrival is The moment of the collection end. is the time discrimination function, which is used to characterize whether to select numbered The collection end to the number is The collection end is used as the evacuation route for personnel, that is, whether this section of the journey can meet the requirements of personnel evacuation, and if it is judged to be , when the judgment is no . is the population density that changes with the collection chain and evacuation process. Correction parameters for preset personnel density. is the initial personnel evacuation speed. for The distance length corresponding to the series acquisition chain. is the summation symbol. It is the personnel evacuation time judgment index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the evacuation route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when , it is judged as No and it means that it has not passed the verification. is the actual predicted duration based on the actual evacuation situation, The theoretical prediction time is obtained based on the time discriminant function. Whether the personnel can be evacuated safely is determined by judging whether the theoretical prediction time is greater than or equal to the actual prediction time. The collection chains corresponding to the series correspond to the actual areas in the chemical park.

[0098] B3: Run the environmental response model and obtain environmental data, and use the environmental rescue formula to verify the environmental anomaly response plan. The environmental rescue formula is as follows:

[0099]

[0100] in: The preset environmental propagation speed. for The length of the journey corresponding to the series of collection chains. The first arrival number is The moment of the collection end. The number of the later arrival is The moment of the collection end. is the summation symbol. It is the environmental diffusion time discrimination index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the disposal route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when If the value is negative, it indicates that the verification has not been passed.

[0101] Specifically, the abnormal operation environment response model supervises the chemical park, including:

[0102] Real-time environmental data and real-time personnel passing data are collected through the collection end, and the real-time environmental data and real-time personnel passing data are input into the environmental anomaly response model.

[0103] The environmental anomaly response model runs and uses environmental indicators to make judgments, and generates real-time emergency signals when there is a need to respond to environmental anomalies.

[0104] Specifically, it is determined whether there is a need to deal with an environmental anomaly. If yes, a corresponding environmental anomaly response plan is executed. Otherwise, step S5 is repeated, which specifically includes the following steps:

[0105] C1: Obtain real-time emergency signals, determine the corresponding collection end, read the environmental anomaly response plan stored in the collection end, and parse it to obtain the corresponding collection chain.

[0106] C2: Based on the collection chain obtained in step C1, the collection end is collected in real time, and the real-time warning of the disposal using environmental indicators is carried out. The real-time warning of the disposal is used to update the environmental anomaly response plan obtained in step C1 when the rescue disposal is in progress. It should be noted that in step C2, when the environmental anomaly response plan obtained in step C1 is started to be executed, the next collection end is monitored at the same time to ensure that the collection end is in a safe state when the personnel evacuation or environmental rescue reaches the next collection end. When the collection end is found to be unsafe, the environmental anomaly response plan obtained in step C1 is updated in real time, and the remaining environmental anomaly response plans at the collection end are matched again, and when the rematch is performed, the preset environmental propagation speed is updated based on meteorological data. Through step C2, the real-time update of the environmental anomaly response plan during the rescue process is realized, thereby minimizing the loss of accidents and protecting the lives, property and ecological environment of personnel.

[0107] C3: Based on the updated environmental anomaly response plan obtained in step C2, call the corresponding emergency resources for emergency rescue and disposal, and repeat steps C2 and C3 until the real-time emergency signal is lifted.

[0108] In a second aspect, this embodiment discloses Figure 2 A chemical park environmental anomaly response system based on a machine learning model is shown, and the system is applicable to the chemical park environmental anomaly response method based on a machine learning model as described above, and the system includes:

[0109] The collection terminal setting module is configured as follows: corresponding collection terminals are set at each emergency sign point in the chemical park, and the collection terminals are used to collect corresponding environmental data representing environmental anomalies and personnel passing data. Environmental data includes atmospheric data, water resources data, soil data and meteorological data. Personnel passing data specifically refers to the time and number of personnel passing through the collection terminal.

[0110] The environment response pre-model construction module is configured to: construct an environment response pre-model corresponding to the environment of the chemical park. The environment response pre-model stores the three-dimensional data corresponding to the chemical park and the corresponding environmental indicators for environmental supervision. The environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies.

[0111] The environment response model construction module is configured as follows: the collection end is set in the environment response pre-model, and the corresponding collection chain is obtained based on the environmental indicators. The environment response pre-model with the collection chain is defined as the environment response model. The collection chain stores the order of the response requirements for the occurrence of environmental anomalies.

[0112] The environment anomaly response model construction module is configured as follows: setting a corresponding environment anomaly response pre-plan for the collection end of the environment response model, running the environment response model to verify the environment anomaly response pre-plan, and defining the verified environment anomaly response pre-plan as the environment anomaly response plan. The environment response model with the environment anomaly response plan is defined as the environment anomaly response model.

[0113] The environment abnormality response model operation module is configured as follows: operate the environment abnormality response model, supervise the chemical park, determine whether there is a need for environmental abnormality response, and if so, execute the corresponding environmental abnormality response plan; otherwise, continue to operate the environment abnormality response model operation module.

[0114] It should be noted that the chemical park environmental anomaly response system based on machine learning model of this embodiment corresponds to the chemical park environmental anomaly response method based on machine learning model in the previous text. Therefore, the contents not specifically described in the chemical park environmental anomaly response system based on machine learning model of this embodiment may have but are not limited to the same functional definition, working principle and technical effects as the aforementioned chemical park environmental anomaly response method based on machine learning model, and this text will not elaborate on them here.

[0115] In summary, the chemical park environmental anomaly response method and system based on the machine learning model in this embodiment realizes effective supervision of the chemical park through the collection end and provides an accurate data basis for environmental anomaly response. Through scientific and systematic model construction and data analysis, the rationality of the environmental anomaly response plan is judged, and optimized configuration, rapid and accurate accident response and efficient response decision-making are achieved, thereby improving the chemical park's ability to respond to abnormal environments, minimizing accident losses, and protecting the safety of life and property and the ecological environment.

[0116] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to implement the functions described herein, or a combination thereof. For software implementation, part or all of the processes of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that can be accessed by a computer. Computer-readable storage media can include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0117] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for dealing with environmental anomalies in a chemical park based on a machine learning model, characterized in that: The method includes: S1: A corresponding collection terminal is set at each emergency sign point in the chemical park, and the collection terminal is used to collect corresponding environmental data representing environmental abnormalities and personnel passing data; the environmental data includes atmospheric data, water resources data, soil data and meteorological data; the personnel passing data specifically refers to the time and number of personnel passing through the collection terminal; S2: construct an environmental response pre-model corresponding to the environment of the chemical park; the environmental response pre-model stores three-dimensional data corresponding to the chemical park and corresponding environmental indicators for environmental supervision, the environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies; S3: Setting the acquisition end in the environmental response pre-model, obtaining a corresponding acquisition chain based on the environmental indicator; defining the environmental response pre-model with the acquisition chain as an environmental response model; the acquisition chain stores the order of occurrence of environmental abnormality response requirements; S4: setting a corresponding environmental anomaly response pre-plan for the collection end of the environmental response model, running the environmental response model to verify the environmental anomaly response pre-plan, and defining the verified environmental anomaly response pre-plan as the environmental anomaly response plan; defining the environmental response model with the environmental anomaly response plan as the environmental anomaly response model; S5: Run the environmental anomaly response model to supervise the chemical park and determine whether there is a need to respond to environmental anomalies. If yes, execute the corresponding environmental anomaly response plan, otherwise repeat step S5; The environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies, specifically including: Acquire the real-time environmental data obtained by the acquisition end and analyze it to obtain real-time atmospheric data, real-time water resources data and real-time soil data; When the real-time atmospheric data does not meet the atmospheric index, it is determined that there is a need to deal with an abnormal environment; When the real-time water resource data does not meet the water resource index, it is determined that there is a need to respond to environmental anomalies; When the real-time soil data does not meet the soil index, it is determined that there is a need to deal with environmental anomalies; The configuration of the corresponding environmental anomaly response plan for the collection end of the environmental response model specifically includes: The obtained environmental anomaly response requirements are used to match the corresponding environmental anomaly response pre-plan in a preset chemical park expert database, wherein the matching process specifically includes the following steps: A1: Determine the demand type corresponding to the environmental anomaly response demand, which includes air emergency rescue, water resources emergency rescue and soil emergency rescue; A2: Based on the demand type obtained in step A1, at least one emergency rescue plan is matched in a preset chemical park expert database, and at least one set of corresponding emergency resources is configured; A3: The result of matching and configuring in step A2 is defined as the pre-plan for dealing with the environmental abnormality; The step of running the environment response model to verify the environment abnormality response plan and defining the verified environment abnormality response plan as the environment abnormality response plan specifically includes the following steps: B1: Based on the demand type and the pre-plan for dealing with environmental anomalies, if there is personnel evacuation during the emergency rescue process, execute step B2; otherwise, execute step B3; B2: Run the environmental response model and obtain the personnel passing data, and verify the environmental abnormality response plan using the personnel evacuation formula, wherein the personnel evacuation formula is specifically: in: is the preset time threshold between collection terminals; The first arrival number is The moment of the collection end; The number of the later arrival is The moment of the collection end; is the time discrimination function, which is used to characterize whether to select numbered The collection end to the number is The collection end is used as the evacuation route for personnel, and it is judged that when , when the judgment is no ; is the population density that varies with the collection chain and evacuation process; Correction parameters for preset population density; is the initial personnel evacuation speed; for The distance length corresponding to the series acquisition chain; for the summation symbol; It is the personnel evacuation time judgment index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the evacuation route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when When it is judged as no, it means that it has not passed the verification; B3: Run the environmental response model and obtain the environmental data, and verify the environmental anomaly response plan using an environmental rescue formula, wherein the environmental rescue formula is specifically: in: is the preset environmental propagation speed; for The length of the distance corresponding to the series of collection chains; The first arrival number is The moment of the collection end; The number of the later arrival is The moment of the collection end; for the summation symbol; It is the environmental diffusion time discrimination index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the disposal route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when If the value is negative, it indicates that the verification has not been passed.

2. The method for dealing with environmental anomalies in a chemical park based on a machine learning model according to claim 1, characterized in that: The environmental response pre-model stores the three-dimensional data corresponding to the chemical park and the corresponding environmental indicators for environmental supervision, specifically including: Modeling by using 3D modeling technology, storing the three-dimensional data of the chemical park into the environmental response pre-model; The environmental indicators corresponding to the environmental data are obtained by using a preset chemical park expert database, and the environmental indicators are stored in the environmental response pre-model.

3. The method for dealing with environmental anomalies in a chemical park based on a machine learning model according to claim 1, characterized in that: The step of setting the acquisition terminal in the environmental response pre-model specifically includes: Based on the emergency marking point corresponding to the acquisition end, the three-dimensional data is used to configure an acquisition diagram at a corresponding position in the environmental response pre-model, and the environmental data is stored in the acquisition diagram.

4. The method for dealing with environmental anomalies in a chemical park based on a machine learning model according to claim 1, characterized in that: The obtaining of the corresponding collection chain based on the environmental indicator specifically includes: Acquire historical environmental data, capture the historical environmental data and determine the order of responding to environmental anomalies based on the environmental indicators, define the order as the collection chain, save it, and output it in real time.

5. The method for dealing with environmental anomalies in a chemical park based on a machine learning model according to claim 1, characterized in that: The operation of the environmental anomaly response model to supervise the chemical park specifically includes: Collecting real-time environmental data and real-time personnel passing data through the collection end, and inputting the real-time environmental data and real-time personnel passing data into the environmental anomaly response model; The environmental anomaly response model runs and uses the environmental indicators to make judgments, and when there is a need to respond to environmental anomalies, a real-time emergency signal is generated.

6. The method for dealing with environmental anomalies in a chemical park based on a machine learning model according to claim 5, characterized in that: The determination as to whether there is a need to deal with an environmental anomaly is to execute the corresponding environmental anomaly response plan if yes, and to repeat step S5 if no, which specifically includes the following steps: C1: Acquire the real-time emergency signal, determine the corresponding acquisition end, read the environmental anomaly response plan stored in the acquisition end, and parse and obtain the corresponding acquisition chain; C2: Based on the collection chain obtained in step C1, the collection end performs real-time collection, and performs real-time warning of disposal using the environmental indicators. The real-time warning of disposal is used to update the environmental abnormality response plan obtained in step C1 when the rescue disposal is in progress; C3: Based on the updated environmental anomaly response plan obtained in step C2, the corresponding emergency resources are called to perform emergency rescue and disposal, and steps C2 and C3 are repeated until the real-time emergency signal is released.

7. A chemical park environmental anomaly response system based on a machine learning model, the system is applicable to the chemical park environmental anomaly response method based on a machine learning model as described in any one of claims 1 to 6, characterized in that: The system includes: A collection terminal setting module, wherein the collection terminal setting module is configured as follows: a corresponding collection terminal is set at each emergency sign point in the chemical park, and the collection terminal is used to collect corresponding environmental data representing environmental abnormalities and personnel passing data; the environmental data includes atmospheric data, water resources data, soil data and meteorological data; the personnel passing data specifically refers to the time and number of personnel passing through the collection terminal; An environmental response pre-model construction module, wherein the environmental response pre-model construction module is configured to: construct an environmental response pre-model corresponding to the environment of the chemical park; the environmental response pre-model stores three-dimensional data corresponding to the chemical park and corresponding environmental indicators for environmental supervision, wherein the environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies; An environment response model construction module, wherein the environment response model construction module is configured as follows: the acquisition end is set in the environment response pre-model, and a corresponding acquisition chain is obtained based on the environment indicator; the environment response pre-model with the acquisition chain is defined as an environment response model; the acquisition chain stores the order in which the requirements for response to environmental anomalies occur; An environment abnormality response model construction module, the environment abnormality response model construction module is configured to: set a corresponding environment abnormality response pre-plan for the acquisition end of the environment abnormality response model, run the environment response model to verify the environment abnormality response pre-plan, and define the verified environment abnormality response pre-plan as the environment abnormality response plan; define the environment response model with the environment abnormality response plan as the environment abnormality response model; An environmental anomaly response model operation module, wherein the environmental anomaly response model operation module is configured to: operate the environmental anomaly response model, supervise the chemical park, determine whether there is an environmental anomaly response demand, and if so, execute the corresponding environmental anomaly response plan; otherwise, continue to operate the environmental anomaly response model operation module; The environmental indicators include atmospheric indicators, water resource indicators and soil indicators, and are used to compare with the environmental data and determine whether there is a need to respond to environmental anomalies, specifically including: Acquire the real-time environmental data obtained by the acquisition end and analyze it to obtain real-time atmospheric data, real-time water resources data and real-time soil data; When the real-time atmospheric data does not meet the atmospheric index, it is determined that there is a need to deal with an abnormal environment; When the real-time water resource data does not meet the water resource index, it is determined that there is a need to respond to environmental anomalies; When the real-time soil data does not meet the soil index, it is determined that there is a need to respond to an environmental anomaly; The configuration of the corresponding environmental anomaly response plan for the collection end of the environmental response model specifically includes: The obtained environmental anomaly response requirements are used to match the corresponding environmental anomaly response pre-plan in a preset chemical park expert database, wherein the matching process specifically includes the following steps: A1: Determine the demand type corresponding to the environmental anomaly response demand, which includes air emergency rescue, water resources emergency rescue and soil emergency rescue; A2: Based on the demand type obtained in step A1, at least one emergency rescue plan is matched in a preset chemical park expert database, and at least one set of corresponding emergency resources is configured; A3: The result of matching and configuring in step A2 is defined as the pre-plan for dealing with the environmental abnormality; The step of running the environment response model to verify the environment abnormality response plan and defining the verified environment abnormality response plan as the environment abnormality response plan specifically includes the following steps: B1: Based on the demand type and the pre-plan for dealing with environmental anomalies, if there is personnel evacuation during the emergency rescue process, execute step B2; otherwise, execute step B3; B2: Run the environmental response model and obtain the personnel passing data, and verify the environmental abnormality response plan using the personnel evacuation formula, wherein the personnel evacuation formula is specifically: in: is the preset time threshold between collection terminals; The first arrival number is The moment of the collection end; The number of the later arrival is The moment of the collection end; is the time discrimination function, which is used to characterize whether to select numbered The collection end to the number is The collection end is used as the evacuation route for personnel, and it is judged that when , when the judgment is no ; is the population density that varies with the collection chain and evacuation process; Correction parameters for preset population density; is the initial personnel evacuation speed; for The distance length corresponding to the series acquisition chain; for the summation symbol; It is the personnel evacuation time judgment index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the evacuation route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when When it is judged as no, it means that it has not passed the verification; B3: Run the environmental response model and obtain the environmental data, and verify the environmental anomaly response plan using an environmental rescue formula, wherein the environmental rescue formula is specifically: in: is the preset environmental propagation speed; for The length of the distance corresponding to the series of collection chains; The first arrival number is The moment of the collection end; The number of the later arrival is The moment of the collection end; for the summation symbol; It is the environmental diffusion time discrimination index, which is used to indicate whether to select the numbered The corresponding collection chain of the series is used as the disposal route, and when When it is judged as yes and it means it has passed the verification and is defined as the environmental abnormality response plan, when If the value is negative, it indicates that the verification has not been passed.

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