Chemical industry park risk grading early warning method and system

Abstract

The invention provides a chemical industry park risk grading early warning method and system. According to the method, an enterprise-level and park-level bidirectional coupling and dynamic and static combined chemical industry park risk grading early warning model is constructed. Wherein the enterprise-level risk model carries out dynamic quantitative scoring on an enterprise from five dimensions of inherent risk, operation state, management efficiency, emergency capability and government supervision, an enterprise output value correction coefficient is introduced, and evaluation deviation caused by scale difference is eliminated. And the park-level risk model realizes intelligent research and judgment on the overall risk of the park by weighting and fusing enterprise risks, public area monitoring data and special operation conditions. Accurate identification and graded early warning of chemical industry park risks are realized based on a double-layer early warning system of enterprise risk and park risk linkage, and the active safety guarantee capability is improved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and specifically to a risk classification and early warning method and system for chemical industrial parks. Background Technology

[0002] Currently, safety supervision in chemical industrial parks generally faces issues such as delayed early warning and systemic problems. Traditional models rely on static data and manual inspections, making it difficult to capture dynamic risks such as enterprise operating status and special operations in real time, resulting in slow regulatory response. At the same time, the lack of comprehensive assessment models at the park level makes it impossible to effectively integrate enterprise risks, public area monitoring, and operational activities; early warning information is isolated and scattered, making it difficult to form a cohesive control force. Existing assessment systems also suffer from insufficient identification of risk differences among enterprises of different sizes, easily leading to distorted risk assessments. Summary of the Invention

[0003] This specification describes one or more embodiments of a risk classification and early warning method and system for chemical industrial parks, which can at least partially solve the deficiencies of the prior art.

[0004] Firstly, a risk classification and early warning method for chemical industrial parks is provided, the method comprising: The system obtains real-time operational data of each target enterprise from the control center of the chemical industrial park, uses an enterprise-level risk model to determine the early warning level of the target enterprise based on the real-time operational data, and issues an early warning based on the early warning level of the target enterprise. Based on the warning level of the target enterprise, the score E of the abnormal enterprise in the park is determined; Acquire monitoring data of the public areas of the chemical industrial park, determine whether an early warning event has occurred in the public areas based on the monitoring data, and determine the public area monitoring early warning risk score P1 according to the type and number of the early warning events; Statistically analyze special operation events that occur in the public area of ​​the chemical industrial park within a preset time period, and determine the public area operation risk score P2 based on the type and number of the special operation events; Calculate the park risk value using a park-level risk model: ; in, This indicates the risk value of the park. , , These are the weighting coefficients; The early warning level of the chemical industrial park is determined based on the risk value of the park, and an early warning is issued based on the early warning level of the chemical industrial park.

[0005] As an optional implementation of the method described in the first aspect, determining the early warning level of the target enterprise based on the real-time operational data using the enterprise-level risk model specifically includes: If, based on the real-time operational data, it is determined that the target company has not experienced a pre-defined specific risk event, then the inherent risk score of the target company is determined according to the pre-defined evaluation rules based on the real-time operational data. Running status score Management effectiveness score Emergency response capability score and government oversight and control scores ; Calculate the risk value of the target company: ; in, This is a correction factor for enterprise output value, used to balance the differences between large and small enterprises; N It is a positive integer used to map the risk value of the target enterprise to a preset range; Based on the risk value of the target company, determine the early warning level of the target company.

[0006] Specifically, determining the early warning level of the target enterprise based on the real-time operational data using the enterprise-level risk model also includes: If, based on the real-time operational data, it is determined that the target enterprise has experienced a pre-defined first type of specific risk event, then the impact score of the first type of specific risk event is calculated: ; in, This indicates the influence score. The initial value is a positive integer. This indicates the duration of the impact of the first type of specific risk event. This refers to the longest duration of impact of the first type of specific risk event; Calculate the risk value of the target company: ; Based on the risk value of the target company, determine the early warning level of the target company.

[0007] Specifically, determining the early warning level of the target enterprise based on the real-time operational data using the enterprise-level risk model also includes: If it is determined from the real-time operational data that the target enterprise has experienced a pre-defined second type of specific risk event, then the warning level and control time of the target enterprise are directly determined according to the control strategy corresponding to the second type of specific risk event. After the control period is reached, the enterprise-level risk model is used to determine the early warning level of the target enterprise.

[0008] Specifically, the method further includes: If the target enterprise has multiple Type II specific risk events, the warning levels corresponding to the multiple Type II specific risk events are sorted, and the highest warning level is selected as the warning level of the target enterprise.

[0009] As an optional implementation of the method described in the first aspect, issuing an early warning to the target enterprise that meets the early warning conditions specifically includes: If the warning level of the target enterprise reaches the warning level set by the warning conditions, then a warning will be issued to the target enterprise; otherwise, no warning will be issued to the target enterprise.

[0010] As an optional implementation of the method described in the first aspect, determining the score E of the abnormal enterprise in the park based on the early warning level of the target enterprise specifically includes: Based on the warning level of the target enterprise, identify the abnormal enterprises; The abnormal enterprises are scored according to the preset scoring rules, and the total score of all abnormal enterprises is taken as the abnormal enterprise score E in the park.

[0011] As an optional implementation of the method described in the first aspect, determining the public area monitoring and early warning risk score P1 based on the type and number of the early warning events specifically includes: Based on the type and number of the warning events, the warning events are scored according to the preset scoring rules for public area monitoring and warning, and the total score of all warning events is used as the public area monitoring and warning risk score P1.

[0012] As an optional implementation of the method described in the first aspect, determining the public area operation risk score P2 based on the type and number of the special operation events specifically includes: Based on the type and number of the special operation events, the special operation events are scored according to the preset public area operation risk scoring rules, and the total score of all special operation events is used as the public area operation risk score P2.

[0013] Secondly, a risk classification and early warning system for chemical industrial parks is provided to implement the aforementioned risk classification and early warning method for chemical industrial parks. This system includes: The data acquisition module is used to acquire real-time operational data of each target enterprise, monitoring data of the public area of ​​the chemical industrial park, and special operational events within the public area of ​​the chemical industrial park from the control center of the chemical industrial park. The enterprise-level early warning module is used to determine the early warning level of the target enterprise based on the real-time operational data of the target enterprise using an enterprise-level risk model, and to issue an early warning based on the early warning level of the target enterprise. The park-level scoring module is used to determine the score E of abnormal enterprises in the park based on the warning level of the target enterprise; determine whether a warning event has occurred in the public area based on the public area monitoring data, and determine the public area monitoring warning risk score P1 based on the type and number of the warning events; and count special operation events that occur in the public area of ​​the chemical park within a preset time period, and determine the public area operation risk score P2 based on the type and number of the special operation events. The park-level early warning module is used to calculate the park's risk value using a park-level risk model, determine the early warning level of the chemical industrial park based on the park's risk value, and issue an early warning based on the early warning level of the chemical industrial park; the expression for the park's risk value is: ; in, This indicates the risk value of the park. , , These are the weighting coefficients.

[0014] Beneficial Effects: One or more embodiments of this specification provide a method and system for risk classification and early warning in chemical industrial parks. This method constructs a dynamic and statically integrated risk classification and early warning model for chemical industrial parks, which is bidirectionally coupled between enterprise-level and park-level risk assessments. The enterprise-level risk model dynamically and quantitatively scores enterprises from five dimensions: inherent risk, operational status, management efficiency, emergency response capability, and government supervision. It also introduces an enterprise output value correction coefficient to eliminate assessment bias caused by scale differences. The park-level risk model, through weighted fusion of enterprise risks, public area monitoring data, and special operational situations, achieves intelligent assessment of the overall risk of the park. This dual-layer early warning system, based on the linkage between enterprise risk and park risk, enables accurate identification and classified early warning of risks in chemical industrial parks, enhancing proactive safety assurance capabilities. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating a risk classification and early warning method for chemical industrial parks, which is involved in one or more embodiments of this specification.

[0017] Figure 2 This is a schematic diagram illustrating the evaluation criteria for inherent risks involved in one or more embodiments of this specification.

[0018] Figure 3 This is a schematic diagram illustrating the evaluation criteria for the operating status involved in one or more embodiments of this specification.

[0019] Figure 4 This is a schematic diagram illustrating the evaluation criteria for management effectiveness involved in one or more embodiments of this specification.

[0020] Figure 5 This is a schematic diagram illustrating the evaluation criteria for emergency response capabilities involved in one or more embodiments of this specification.

[0021] Figure 6 This is a schematic diagram of the evaluation criteria for government supervision and control involved in one or more embodiments of this specification.

[0022] Figure 7 This is a schematic diagram illustrating the correspondence between warning levels and risk values ​​in one or more embodiments of this specification.

[0023] Figure 8 This is a schematic diagram illustrating the correspondence between park risk values ​​and warning levels in one or more embodiments of this specification.

[0024] Figure 9 This is a schematic diagram of the structure of a risk classification and early warning system for a chemical industrial park, as proposed in one or more embodiments of this specification. Detailed Implementation

[0025] First, it should be noted that the terminology used in the embodiments of this invention is for the purpose of describing specific embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” used in the embodiments of this invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0026] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments in this specification, and not all of the embodiments. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the invention. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0027] It should be noted that the steps of the corresponding methods are not necessarily performed in the order shown and described in this specification in other embodiments. In some other embodiments, the methods may include more or fewer steps than described in this specification. Furthermore, a single step described in this specification may be broken down into multiple steps in other embodiments; and multiple steps described in this specification may be combined into a single step in other embodiments.

[0028] The risk warning method and device for major hazard sources of hazardous chemicals described in this specification will be further described in detail below with reference to the accompanying drawings and specific embodiments. However, this detailed description does not constitute a limitation on the embodiments of this specification.

[0029] In some embodiments, a risk classification and early warning method for chemical industrial parks is provided, which is applicable to the management and control system of chemical industrial parks. For example... Figure 1 As shown, the method includes steps S100 to S110.

[0030] S100: Obtain real-time operational data of each target enterprise from the control center of the chemical industrial park, use an enterprise-level risk model to determine the early warning level of the target enterprise based on the real-time operational data, and issue early warnings to target enterprises that meet the early warning conditions.

[0031] The control center of a chemical industrial park usually collects real-time operational data of each target enterprise in the park, so you can directly obtain the real-time operational data of each target enterprise from the control center of the chemical industrial park.

[0032] In this embodiment, the target company's real-time operational data is dynamically and quantitatively scored from five dimensions: inherent risk, operational status, management efficiency, emergency response capability, and government supervision and control.

[0033] Please refer to Figure 2 , Figure 2 An example of an evaluation criterion for inherent risk is provided. For example... Figure 2 As shown, this embodiment adopts a scoring method. First, the inherent risk (primary indicator) is broken down into five secondary indicators, namely personnel structure risk, equipment risk, material attribute risk, process inherent risk, and working environment risk. Risk values ​​are assigned to these five secondary indicators according to the preset evaluation content and scoring rules. Finally, the total score of the five secondary indicators is calculated to obtain the inherent risk score.

[0034] Please refer to Figure 3 , Figure 3 An example of an evaluation criterion for operational status is given. For example... Figure 3As shown, this embodiment adopts a scoring method. First, the operating status (primary indicator) is broken down into 6 secondary indicators, namely trial production, special operations, material safety commitment, alarm and early warning level, and the operation status of the digital system of dual prevention mechanism. Risk values ​​are assigned to these 6 secondary indicators according to the preset evaluation content and scoring rules. Finally, the total score of the 6 secondary indicators is calculated to obtain the operating status score.

[0035] Please refer to Figure 4 , Figure 4 Examples of evaluation criteria for management effectiveness are provided. For instance... Figure 4 As shown, this embodiment adopts a scoring method. First, the management efficiency (primary indicator) is broken down into 6 secondary indicators, namely, safety production standardization, dual prevention mechanism, abnormal working condition handling, performance of key personnel, personnel management and equipment management. Risk values ​​are assigned to these 6 secondary indicators according to the preset evaluation content and scoring rules. Finally, the total score of the 6 secondary indicators is calculated to obtain the management efficiency score.

[0036] Please refer to Figure 5 , Figure 5 An example of an evaluation criterion for emergency response capability is provided. For example... Figure 5 As shown, this embodiment adopts a scoring method. First, the emergency response capability (primary indicator) is broken down into five secondary indicators, namely, emergency plan assessment status, emergency drill plan, emergency drill implementation process record, emergency team and emergency supplies. Risk values ​​are assigned to these five secondary indicators according to the preset evaluation content and scoring rules. Finally, the total score of the five secondary indicators is calculated to obtain the emergency response capability score.

[0037] Please refer to Figure 6 , Figure 6 Examples of evaluation criteria for government oversight and control are provided. For instance... Figure 6 As shown, this embodiment adopts a scoring method. First, government supervision and control (primary indicator) is broken down into two secondary indicators, namely administrative penalties and on-site inspections. Risk values ​​are assigned to these two secondary indicators according to the preset evaluation content and scoring rules. Finally, the total score of the two secondary indicators is calculated to obtain the government supervision and control score.

[0038] It should be noted that the settings of the above-mentioned primary and secondary indicators, total indicator scores, evaluation content, and scoring details can be adapted according to needs, and this embodiment does not impose any restrictions on this.

[0039] In obtaining the inherent risk score of the target company Running status score Management effectiveness score Emergency response capability score and government oversight and control scores Then, the risk value of the target company is calculated based on the enterprise-level risk model. The expression for the enterprise-level risk model is: ; in, N N is a positive integer used to map the risk value of the target company to a preset range. The value of N is related to the total score of the above five primary indicators, and also to the risk value. The value range is related to this. For example, if the total score for inherent risk is 200 points, the total score for operational status is 400 points, the total score for management efficiency is 150 points, the total score for emergency response capability is 100 points, and the total score for government supervision and control is 150 points, then the risk value... If the value of N is desired to be in the range of 0-100, then N can be 10.

[0040] This is a corporate output adjustment coefficient used to balance the differences between large and small enterprises. The five primary indicators mentioned above are mainly scored using a scoring method. These five primary indicators are significantly affected by corporate output, and it's easy for large enterprises to score significantly higher than small enterprises, which could affect the enterprise's safety rating. Therefore, to balance the differences between large and small enterprises, a corporate output adjustment coefficient is introduced. , The value can be set according to requirements. Please refer to Table 1, which illustrates one possible value. The method for obtaining the value.

[0041] Table 1 ; In some implementations, impact factors for specific risk events can be added to the enterprise-level risk model. For example, certain risk events that are frequently occurring recently and have long-term impacts, such as major safety accidents, can be referred to as Category I specific risk events. For Category I specific risk events, a decay function that decays over time can be designed to describe the impact of these events on the target enterprise. The expression for this decay function is: ; in, This represents the impact score of a specific type of risk event. The initial value is a positive integer. This indicates the duration of the impact of a specific type of risk event. This refers to the longest duration of impact of a Category I specific risk event.

[0042] After adding the impact score of the first type of specific risk event, the expression for the above enterprise-level risk model is: .

[0043] After determining the risk value of the target enterprise, the warning level of the target enterprise is determined according to the preset warning threshold, and warnings are issued to target enterprises that meet the warning conditions.

[0044] Please refer to Figure 7 , Figure 7 A schematic diagram illustrating the correspondence between warning levels and risk values ​​is shown. For example... Figure 7 As shown, the risk value in this embodiment The value range is (0, 100). For target companies, set their early warning level to special control. For target companies, set their early warning level to key monitoring; For the target companies, the warning level is set to general concern.

[0045] After determining the warning level of a target company, it can be determined whether to issue a warning to that target company based on preset warning conditions. If the target company's warning level reaches the preset warning level, then a warning is issued; otherwise, no warning is issued. For example, ... Figure 7 As shown, the warning conditions can be set to issue warnings to target enterprises with warning levels of special control and key attention.

[0046] In addition to the first type of specific risk events mentioned above, there may also be some significant but relatively short-lived events in actual operation. These events can generally be quickly mitigated after handling, such as unplanned shutdowns, major overhauls, and flare emissions. These events can be referred to as the second type of specific risk events, and they require immediate warning.

[0047] Therefore, if it is determined from real-time operational data that a pre-defined second type of specific risk event has occurred in the target enterprise, the warning level and control time of the target enterprise are directly determined according to the control strategy corresponding to the second type of specific risk event. After the control time is reached, the warning level of the target enterprise is determined using the above-mentioned enterprise-level risk model.

[0048] The aforementioned control strategies for the second type of specific risk events can be set according to needs. For example, for unplanned shutdowns, the warning level can be set to "Special Control," and the control period can be set to one week. For flare emissions, the warning level can be set to "Key Concern," and the control period can be set to the emission period.

[0049] If a target company has multiple Category II specific risk events, the warning levels corresponding to the multiple Category II specific risk events are ranked, and the highest warning level is selected as the warning level for the target company.

[0050] S102: Determine the score E for abnormal enterprises in the park based on the warning level of the target enterprise.

[0051] E represents the score for abnormal enterprises within the park. When calculating E, a discretized assignment method can be used. For example, the output of the enterprise risk warning model can be set as either specially controlled or key monitored enterprises. The presence of one specially controlled enterprise earns 20 points; the presence of one key monitored enterprise earns 10 points. The total score for abnormal enterprises within the park is 100 points. If the calculated value of E exceeds 100, it is calculated as 100 points.

[0052] S104: Obtain monitoring data of public areas in the chemical industrial park, determine whether any early warning events have occurred in the public areas based on the monitoring data, and determine the public area monitoring early warning risk score P1 according to the type and number of early warning events.

[0053] In chemical industrial parks, in addition to supervising enterprises, it is also necessary to monitor public areas. For example, sensors are installed in public areas to monitor for events such as leaks of flammable / explosive / toxic / harmful gases, ground subsidence in public utility tunnels, and illegal parking of hazardous chemical vehicles. These events are called early warning events.

[0054] If such early warning events occur, the public area monitoring and early warning risk score P1 is determined based on the number and type of these events. For example, if there are m1 alarms for flammable / explosive / toxic / harmful gas leaks in the public area of ​​the park, each alarm earns 5 points; if there are m2 alarms for public utility tunnel foundation settlement, each alarm earns 20 points; if there are m3 alarms for illegally parked hazardous chemical vehicles in the public area, each alarm earns 10 points. The total score for public area monitoring and early warning risk is 100 points. If the calculated P1 value exceeds 100, it is calculated as 100 points.

[0055] S106: Statistically analyze special work events that occur in the public areas of the chemical industrial park within a preset time period, and determine the public area work risk score P2 based on the type and number of special work events.

[0056] The above-mentioned preset time period is the statistical cycle, which can be set according to needs, such as once every 12 hours.

[0057] The aforementioned special operations can be set according to needs, such as fire drills, hazardous chemical transportation, etc. Special operation events occurring in the park's public areas within these 12 hours are statistically analyzed. Based on the type and number of these events, a public area operation risk score (P2) is determined. For example, a single special operation can be assigned a score of 5 points, or the score can be set according to the type of special operation, such as 20 points for a fire drill and 10 points for a hazardous chemical transportation event. The total public area operation risk score is 100 points. If the calculated P1 value exceeds 100, it is calculated as 100 points.

[0058] S108: Calculate the park risk value using a park-level risk model: ; in, Indicates the risk value of the park. , , These are the weighting coefficients.

[0059] The weighting coefficients mentioned above can be adjusted adaptively according to the actual situation, for example, setting a=0.7, b=0.2, c=0.1.

[0060] S110: Determine the early warning level of the chemical industrial park based on the park's risk value, and issue an early warning based on the early warning level of the chemical industrial park.

[0061] Specifically, the early warning levels of chemical industrial parks can be classified based on the park's risk threshold. For example... Figure 8 The diagram illustrates the relationship between park risk values ​​and warning levels. In this embodiment, the park risk value... The value range is (0, 100), when At that time, the early warning level for the chemical industrial park was set as high risk. At that time, the early warning level for the chemical industrial park was set as high risk. At that time, the early warning level for the chemical industrial park was set as general risk. At that time, the early warning level for the chemical industrial park was set as low risk.

[0062] When setting early warning conditions, you can configure it to issue early warnings for the entire park only for high-risk and relatively high-risk situations.

[0063] Corresponding to the aforementioned risk classification and early warning method for chemical industrial parks, this embodiment also provides a risk classification and early warning system for chemical industrial parks, which is applicable to the management and control system of chemical industrial parks. Please refer to... Figure 9 , Figure 9This is a schematic diagram of the structure of a chemical industrial park risk classification and early warning system proposed in one or more embodiments of this specification. This system can be used to implement the aforementioned chemical industrial park risk classification and early warning method. It should be noted that the chemical industrial park risk classification and early warning method described in one or more embodiments of this application can rely on... Figure 9 The system implementation shown is not limited to this system.

[0064] like Figure 9 As shown, the risk classification and early warning system for chemical industrial parks includes: The data acquisition module is used to obtain real-time operational data of each target enterprise, monitoring data of the public areas of the chemical industrial park, and special operational events within the public areas of the chemical industrial park from the control center of the chemical industrial park.

[0065] The enterprise-level early warning module is used to determine the early warning level of the target enterprise based on the target enterprise's real-time operational data using an enterprise-level risk model, and to issue early warnings based on the target enterprise's early warning level.

[0066] The park-level scoring module is used to determine the score E of abnormal enterprises in the park based on the warning level of the target enterprise; to determine whether a warning event has occurred in the public area based on the public area monitoring data, and to determine the public area monitoring warning risk score P1 based on the type and number of warning events; and to count special operation events that occur in the public area of ​​the chemical park within a preset time period, and to determine the public area operation risk score P2 based on the type and number of special operation events.

[0067] The park-level early warning module is used to calculate the park's risk value using a park-level risk model, determine the early warning level of the chemical industrial park based on the risk value, and issue an early warning based on the early warning level of the chemical industrial park. The expression for the park's risk value is: ; in, Indicates the risk value of the park. , , These are the weighting coefficients.

[0068] For the specific functions of each of the above modules, please refer to the detailed steps in the above-mentioned risk classification and early warning method for chemical industrial parks, which will not be repeated here.

[0069] It is understood that the structures illustrated in the embodiments of this specification do not constitute a specific limitation on the system of the embodiments of this specification. In other embodiments of the specification, the above system may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0070] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0071] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0072] It should be noted that the above examples are merely specific embodiments of the present invention, and the present invention is obviously not limited to the above embodiments, with many similar variations. All modifications that can be directly derived or conceived by those skilled in the art from the content disclosed in this invention should fall within the protection scope of this invention.

Claims

1. A risk classification and early warning method for chemical industrial parks, characterized in that, The method includes: The system obtains real-time operational data of each target enterprise from the control center of the chemical industrial park, uses an enterprise-level risk model to determine the early warning level of the target enterprise based on the real-time operational data, and issues an early warning based on the early warning level of the target enterprise. Based on the warning level of the target enterprise, the score E of the abnormal enterprise in the park is determined; Acquire monitoring data of the public areas of the chemical industrial park, determine whether an early warning event has occurred in the public areas based on the monitoring data, and determine the public area monitoring early warning risk score P1 according to the type and number of the early warning events; Statistically analyze special operation events that occur in the public area of ​​the chemical industrial park within a preset time period, and determine the public area operation risk score P2 based on the type and number of the special operation events; Calculate the park risk value using a park-level risk model: ； in, This indicates the risk value of the park. , , These are the weighting coefficients; The early warning level of the chemical industrial park is determined based on the risk value of the park, and an early warning is issued based on the early warning level of the chemical industrial park.

2. The method according to claim 1, characterized in that, The enterprise-level risk model is used to determine the early warning level of the target enterprise based on the real-time operational data, specifically including: If, based on the real-time operational data, it is determined that the target company has not experienced a pre-defined specific risk event, then the inherent risk score of the target company is determined according to the pre-defined evaluation rules based on the real-time operational data. Running status score Management effectiveness score Emergency response capability score and government oversight and control scores ; Calculate the risk value of the target company: ； in, This is a correction factor for enterprise output value, used to balance the differences between large and small enterprises; N It is a positive integer used to map the risk value of the target enterprise to a preset range; Based on the risk value of the target company, determine the early warning level of the target company.

3. The method according to claim 2, characterized in that, Determining the early warning level of the target enterprise based on the real-time operational data using the enterprise-level risk model further includes: If, based on the real-time operational data, it is determined that the target enterprise has experienced a pre-defined first type of specific risk event, then the impact score of the first type of specific risk event is calculated: ； in, This indicates the influence score. The initial value is a positive integer. This indicates the duration of the impact of the first type of specific risk event. This refers to the longest duration of impact of the first type of specific risk event; Calculate the risk value of the target company: ； Based on the risk value of the target company, determine the early warning level of the target company.

4. The method according to claim 3, characterized in that, Determining the early warning level of the target enterprise based on the real-time operational data using the enterprise-level risk model further includes: If it is determined from the real-time operational data that the target enterprise has experienced a pre-defined second type of specific risk event, then the warning level and control time of the target enterprise are directly determined according to the control strategy corresponding to the second type of specific risk event. After the control period is reached, the enterprise-level risk model is used to determine the early warning level of the target enterprise.

5. The method according to claim 4, characterized in that, The method further includes: If the target enterprise has multiple Type II specific risk events, the warning levels corresponding to the multiple Type II specific risk events are sorted, and the highest warning level is selected as the warning level of the target enterprise.

6. The method according to claim 1, characterized in that, Warnings are issued based on the warning level of the target enterprise, specifically including: If the warning level of the target enterprise reaches the warning level set by the preset warning conditions, then the target enterprise will be warned; otherwise, the target enterprise will not be warned.

7. The method according to claim 1, characterized in that, Based on the warning level of the target enterprise, the score E of the abnormal enterprise in the park is determined, specifically including: Based on the warning level of the target enterprise, identify the abnormal enterprises; The abnormal enterprises are scored according to the preset scoring rules, and the total score of all abnormal enterprises is taken as the abnormal enterprise score E in the park.

8. The method according to claim 1, characterized in that, The public area monitoring and early warning risk score P1 is determined based on the type and number of the aforementioned early warning events, specifically including: Based on the type and number of the warning events, the warning events are scored according to the preset scoring rules for public area monitoring and warning, and the total score of all warning events is used as the public area monitoring and warning risk score P1.

9. The method according to claim 1, characterized in that, Based on the type and number of the special work events, a public area work risk score P2 is determined, specifically including: Based on the type and number of the special operation events, the special operation events are scored according to the preset public area operation risk scoring rules, and the total score of all special operation events is used as the public area operation risk score P2.

10. A risk classification and early warning system for chemical industrial parks, used to implement the method described in any one of claims 1 to 9, characterized in that, include: The data acquisition module is used to acquire real-time operational data of each target enterprise, monitoring data of the public area of ​​the chemical industrial park, and special operational events within the public area of ​​the chemical industrial park from the control center of the chemical industrial park. The enterprise-level early warning module is used to determine the early warning level of the target enterprise based on the real-time operational data of the target enterprise using an enterprise-level risk model, and to issue an early warning based on the early warning level of the target enterprise. The park-level scoring module is used to determine the score E of abnormal enterprises in the park based on the early warning level of the target enterprise; Based on the public area monitoring data, determine whether an early warning event has occurred in the public area, and determine the public area monitoring early warning risk score P1 according to the type and number of the early warning events; count the special operation events that occur in the public area of ​​the chemical industrial park within a preset time period, and determine the public area operation risk score P2 according to the type and number of the special operation events; The park-level early warning module is used to calculate the park risk value using a park-level risk model, determine the early warning level of the chemical park based on the park risk value, and issue an early warning based on the early warning level of the chemical park. The expression for the risk value of the park is: ； in, This indicates the risk value of the park. , , These are the weighting coefficients.

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