Security risk grade assessment method and system for iron and steel enterprises

Abstract

The invention discloses a safety risk level assessment method and system for an iron and steel enterprise, and belongs to the technical field of safety management. The method comprises the following steps: constructing an inherent risk assessment model and a dynamic risk assessment model, respectively obtaining an inherent risk level and a dynamic risk level by the two models, and obtaining a basic risk level of the iron and steel enterprise according to an inherent risk and dynamic risk two-dimensional assessment matrix; through the system security risk identification and analysis method, the problems of definition and assignment of enterprise security production indexes are solved, potential risks of enterprises can be comprehensively identified, various information required by enterprise security risk grading can be explored, the method is an important basis for enterprise security risk grading and control, and the method has a wide application prospect. The efficiency and the accuracy of safety production management of iron and steel enterprises can be effectively improved, and the production safety is improved.

Description

Technical Field

[0001] The invention relates to a safety risk level assessment method and system for a steel enterprise, belonging to the technical field of safety management. Background Art

[0002] With the development of technology, my country's industrialization and urbanization process is accelerating, the scale of production is expanding, and the number of enterprises is increasing. But at the same time, it also brings unprecedented challenges. Although new developments and new opportunities have been ushered in, the original problems are still prominent, and safety hazards, safety risks, difficulties in implementing the corporate responsibility system, and imperfect regulatory systems and laws and regulations have yet to be solved.

[0003] The steel industry is an industry that mainly engages in industrial production activities such as ferrous metal mineral mining and ferrous metal smelting and processing. It is one of the country's important raw material industries. Steel production refers to the production activities of washing, sintering, and smelting iron ore to make pig iron, and then using pig iron as raw material to forge steel into various shapes using steelmaking furnaces and rolling mills of different specifications. Steel products are a general term for metal products with iron as the basic component. The general statistical scope includes three major categories of products: pig iron, crude steel, and steel. The solid state of crude steel is called billet or ingot, and steel can be divided into profiles, plates, pipes, and others according to their shape. As a heavy industry, steel companies often face various safety risks in the production process, and their safety management and control work is also the most important link.

[0004] In order to curb the frequent occurrence of safety accidents in steel enterprises and the frequent occurrence of major and serious safety accidents, the country has implemented the three lines of defense for safe production: "risk classification management, hidden danger investigation and control, and accident emergency rescue."

[0005] Among them, the most important is risk classification control. Steel enterprises must implement risk classification control as soon as possible to ensure safe production. The existing enterprise safety risk identification and classification usually adopts a semi-quantitative operating condition hazard assessment method. The advantage of this method is that the classification level is relatively clear. However, its disadvantages are also obvious. First, its assessment method still adopts the manual evaluation method; second, this method only conducts a local evaluation on a certain operating environment and cannot be applied to the overall assessment, which has certain limitations; third, this method determines the hazard level based on past experience and can no longer meet the needs of the new production environment. Summary of the invention

[0006] In order to improve the efficiency and accuracy of safety risk management and control of steel enterprises and enhance the safety of the production process, the present invention provides a safety risk level assessment method and system for steel enterprises. The technical solution is as follows:

[0007] The safety risk level assessment method for a steel enterprise of the present invention comprises: constructing an inherent risk assessment model and a dynamic risk assessment model, respectively obtaining an inherent risk level and a dynamic risk level from the two models, and then obtaining a basic risk level of the steel enterprise according to a two-dimensional assessment matrix of inherent risk and dynamic risk;

[0008] In the inherent risk assessment model, the inherent risk level is determined by the inherent risk warning value, and the inherent risk warning value calculation formula is: 固 =γ 固 ×T 固 , where γ 固 It represents the production risk correction coefficient, which is determined by quantitative calculation of the inherent production risk parameters of the steel enterprise; T 固 It represents the early warning index of risk control, which is determined by quantitative calculation of the inherent risk control capability of steel enterprises;

[0009] In the dynamic risk assessment model, the dynamic risk level is determined by the dynamic risk warning index, and the calculation method of the dynamic risk warning index is: R 动 =R alarm +R g , where R alarm It represents the early warning value of the main monitoring parameters, which is obtained by weighted summation of the early warning values ​​of the preset key parameters and non-key parameters; R g Indicates the enterprise on-site management warning value, Among them G i Indicates the warning values ​​of various dimensions of enterprise on-site management, including: average alarm elimination time and the number of currently unhandled alarm events.

[0010] Optionally, the method further includes: adjusting the basic safety risk level through risk correction items, wherein the risk correction items represent events that are not included in the assessment model but have a significant adverse effect on the safe production of the steel enterprise.

[0011] Optionally, the production risk correction factor γ 固 Methods for determining include:

[0012] (1) Determine the important production indicators that affect the enterprise's production safety, classify them according to their subordinate relationships, and build a hierarchical indicator system;

[0013] (2) Using the weights of indicators at each level of the analytic hierarchy process;

[0014] (3) assigning values ​​to each indicator according to the weight of the hierarchical indicators to obtain the level and coefficient of each indicator;

[0015] (4) Calculate the risk warning value of a single indicator: G i = level × coefficient;

[0016] (5) Calculate the inherent production risk warning value:

[0017] (6) The inherent production risk warning value is normalized using a linear proportional conversion algorithm to be converted into the inherent production risk correction coefficient γ 固 .

[0018] Optionally, the method for determining the management and control risk warning index includes:

[0019] (1) Determine the important control indicators that affect the enterprise's production safety, and use the analytic hierarchy process to determine the weight of each indicator;

[0020] (2) Quantitatively calculate the early warning index of steel enterprise management and control risks through fuzzy comprehensive evaluation method;

[0021] (3) Calculate the single factor risk value: r i =w i ×v i , where w i Indicates the weight of the important control indicators, v i Indicates the early warning index of management and control risk of the steel enterprise;

[0022] (4) Calculate the early warning index of management and control risks:

[0023]

[0024] Among them, r i Represents the single factor risk value.

[0025] The present invention provides a safety risk level assessment system for a steel enterprise, comprising: an inherent risk assessment model and a dynamic risk assessment model, after the inherent risk level and the dynamic risk level are respectively obtained by the two models, the basic risk level of the steel enterprise is obtained according to the inherent risk and dynamic risk two-dimensional assessment matrix;

[0026] In the inherent risk assessment model, the inherent risk level is determined by the inherent risk warning value, and the inherent risk warning value calculation formula is: 固 =γ 固 ×T 固 , where γ 固 It represents the production risk correction coefficient, which is determined by quantitative calculation of the inherent production risk parameters of the steel enterprise; T 固 It represents the early warning index of risk control, which is determined by quantitative calculation of the inherent risk control capability of steel enterprises;

[0027] In the dynamic risk assessment model, the dynamic risk level is determined by the dynamic risk warning index, and the calculation method of the dynamic risk warning index is: R 动 =Ralarm +R g , where R alarm It represents the early warning value of the main monitoring parameters, which is obtained by weighted summation of the early warning values ​​of the preset key parameters and non-key parameters; R g Indicates the enterprise on-site management warning value, Among them G i Indicates the warning values ​​of various dimensions of enterprise on-site management, including: average alarm elimination time and the number of currently unhandled alarm events.

[0028] Optionally, the system also includes a risk correction item adjustment module for adjusting the basic safety risk level. The risk correction items represent: events that are not included in the assessment model but have a significant adverse effect on the safe production of the steel enterprise.

[0029] Optionally, the production risk correction factor γ 固 Methods for determining include:

[0030] (1) Determine the important production indicators that affect the enterprise's production safety, classify them according to their subordinate relationships, and build a hierarchical indicator system;

[0031] (2) Using the weights of indicators at each level of the analytic hierarchy process;

[0032] (3) assigning values ​​to each indicator according to the weight of the hierarchical indicators to obtain the level and coefficient of each indicator;

[0033] (4) Calculate the risk warning value of a single indicator: G i = level × coefficient;

[0034] (5) Calculate the inherent production risk warning value:

[0035] (6) The inherent production risk warning value is normalized using a linear proportional conversion algorithm to be converted into the inherent production risk correction coefficient γ 固 .

[0036] Optionally, the method for determining the management and control risk warning index includes:

[0037] (1) Determine the important control indicators that affect the enterprise's production safety, and use the analytic hierarchy process to determine the weight of each indicator;

[0038] (2) Quantitatively calculate the early warning index of steel enterprise management and control risks through fuzzy comprehensive evaluation method;

[0039] (3) Calculate the single factor risk value: r i =w i ×v i , where w iIndicates the weight of the important control indicators, v i Indicates the early warning index of management and control risk of the steel enterprise;

[0040] (4) Calculate the early warning index of management and control risks:

[0041]

[0042] Among them, r i Represents the single factor risk value.

[0043] The present invention provides a safety risk level assessment device for a steel enterprise, comprising a memory and a processor;

[0044] The memory is used to store computer programs;

[0045] The processor is used to implement the security risk level assessment method as described in any one of the above items when executing the computer program.

[0046] The present invention provides a computer-readable storage medium, characterized in that a computer program is stored on the storage medium, and when the computer program is executed by a processor, the security risk level assessment method as described in any one of the above items is implemented.

[0047] The beneficial effects of the present invention are:

[0048] The present invention firstly obtains the production risk index and the management and control risk index in the production process of the steel enterprise through experience, and obtains the weight of each index through the hierarchical analysis method, further obtains the production risk correction coefficient and the management and control risk warning index, and proposes a new inherent risk warning value calculation method. At the same time, a new dynamic risk assessment method is also proposed to further obtain the inherent risk level and the dynamic risk level, and finally construct a two-dimensional assessment matrix of inherent risk and dynamic risk to obtain the basic risk level of the steel enterprise; the present invention solves the definition and assignment problems of the enterprise's production safety indicators through a systematic safety risk identification and analysis method, which can not only comprehensively identify the potential dangers of the enterprise, but also discover various information required for the enterprise's safety risk classification. It is an important basis for the enterprise's safety risk classification and control, and can effectively improve the efficiency and accuracy of the steel enterprise's production safety management and improve the safety of production. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1It is a flow chart of the safety risk level assessment method for steel enterprises of the present invention. DETAILED DESCRIPTION

[0051] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0052] Embodiment 1:

[0053] Embodiment 1:

[0054] This embodiment provides a method for assessing the safety risk level of a steel enterprise. Figure 1 The method designs a grade assessment model, which mainly starts from the factors affecting the safety risks of steel enterprises, follows the principles of combining enterprise safety risk management and control capability assessment, combining individual rating with enterprise rating, and combining qualitative analysis with quantitative analysis, and uses the inherent risk and dynamic risk two-dimensional assessment matrix (hereinafter referred to as the "assessment matrix") to obtain the basic risk level of steel enterprises. On this basis, the basic risk level of steel enterprises is adjusted to obtain the comprehensive risk level of the enterprise by comprehensively considering the matters that have a significant adverse or favorable impact on the safety risks of steel enterprises (collectively referred to as "risk correction matters").

[0055] This assessment model consists of two sub-models, namely the inherent risk assessment model and the dynamic risk assessment model. After the inherent risk level and dynamic risk level are obtained by the two models, the basic risk level of the steel enterprise is obtained according to the assessment matrix shown in Table 1:

[0056] Table 1: Two-dimensional assessment matrix for inherent risk and dynamic risk

[0057]

[0058] 1. The construction process of the inherent risk assessment model is as follows:

[0059] In the inherent risk assessment model, the calculation formula for the inherent risk warning value is:

[0060] R 固 =γ 固 ×T 固

[0061] Among them, R 固 represents the inherent risk warning index, γ 固 represents the production risk correction coefficient (quantitatively calculated and determined for the inherent production risk parameters of steel enterprises), T 固 Represents the risk management and control early warning index (determined by quantitative calculation of the inherent risk management and control capabilities of steel enterprises).

[0062] Production risk correction factor γ 固is determined as follows:

[0063] Step 1: Select indicators. The important indicators that affect the safe production of enterprises will be classified according to their subordinate relationships from macro to meso to micro. Experts will assess the importance of each indicator and assign different weights to each indicator.

[0064] The important indicators that affect the safe production of enterprises in this embodiment are shown in Table 2 below:

[0065] Table 2: Inherent safety risk assessment system for steel enterprises

[0066]

[0067] Step 2: Use the analytic hierarchy process (AHP) to determine the weights of indicators at each level. The analytic hierarchy process includes the following steps:

[0068] Step 21: Construct a hierarchical indicator system;

[0069] Step 22: Design an expert questionnaire to obtain expert experience data, and establish mapping criteria to convert the data from each expert questionnaire into a corresponding comparison matrix. At the same time, give each expert opinion the same weight and use the geometric mean to enter the comparison matrix;

[0070] Step 23: Calculate the weight of each level indicator with respect to the previous level indicator (i.e., matrix eigenvector, using the root method to obtain the eigenvector), and perform consistency check;

[0071] Step 24: Calculate the weight of indicators at each level to the overall goal.

[0072] The evaluation scale of the expert questionnaire for the inherent production risk rating model of steel enterprises is shown in Table 3:

[0073] Table 3: Evaluation scale of the expert questionnaire for the inherent production risk rating model of steel enterprises

[0074]

[0075] A total of 20 valid questionnaires were collected in this survey, and the expert survey data tables were converted into comparison matrices based on the mapping principle.

[0076] Since the hierarchical index system contains three levels, including 3 first-level indicators, 11 second-level indicators, and 37 third-level indicators, each expert survey data is converted into 11 comparison matrices according to the above method, and then each expert opinion is given the same weight. The geometric mean of the corresponding element values ​​in the corresponding comparison matrix converted from each expert survey is calculated to obtain the comparison matrix A composed of the mean of expert judgments = (a ij ) n*n , in the contrast matrix A, aij Represents a comparison set of 2 different indicators, a ji Represents a reverse comparison set of 2 different indicators, a ii Represents a comparison set of two identical indicators, n is the number of comparison indicators; i = 1, 2, 3 ... n; j = 1, 2, 3 ... n. Comparison matrix A = (a ij ) n*n It has the following properties:

[0077]

[0078] Then, the n row vectors of the judgment matrix A are normalized by the root method to obtain the eigenvector W and eigenroot λ of each comparison matrix. The specific calculation method is as follows:

[0079] (1) Multiply the elements of matrix A column by column to obtain a new vector;

[0080] (2) Raise each element of the new vector to the power of n:

[0081]

[0082] (3) The obtained vector is normalized (i.e., each element is divided by the sum of all elements) as the approximate eigenvector W:

[0083]

[0084] (4) The calculation formula of characteristic root λ is:

[0085]

[0086] Finally, a consistency check is performed, and the steps are as follows:

[0087] (1) Calculation of consistency index CI

[0088]

[0089] (2) CI = 0 means that the judgment matrix is ​​completely consistent. The larger the CI, the more serious the inconsistency of the judgment matrix.

[0090] (3) Find the corresponding average random consistency index RI. The random consistency index obtained by Satty simulation 1000 times is shown in the following table:

[0091] Table 4: Random consistency indicators

[0092] Matrix order 1 2 3 4 5 6 7 8 9 10 11 12 13 RI 0 0 0.52 0.89 1.12 1.26 1.36 1.41 1.46 1.49 1.52 1.54 1.56

[0093] (4) Calculate the consistency ratio CR:

[0094]

[0095] When CR is less than 0.1, the consistency of the judgment matrix is ​​considered acceptable; when CR is greater than or equal to 0.1, the judgment matrix should be appropriately modified.

[0096] Finally, according to the rounding principle and the characteristics of steel enterprises, the weights of indicators at all levels calculated by the improved analytic hierarchy process were fine-tuned. The specific indicator weights are shown in Table 5.

[0097] Table 5: Weights of first- and second-level indicators in the inherent safety risk assessment model for steel enterprises

[0098]

[0099]

[0100] According to the weights of the first and second level indicators, each indicator is assigned a value, and the inherent production risk warning value G is calculated. When the process changes, the inherent production risk warning value is recalculated. The calculation method is as follows:

[0101] (1) The assignment of indicators related to the inherent production risk warning value is shown in Table 6 below:

[0102] Table 6 Assignment of indicators related to inherent production risk warning values

[0103]

[0104]

[0105] (2) Calculate the risk warning value of a single indicator:

[0106] G i = level × coefficient

[0107] (3) Calculate the inherent production risk warning value:

[0108]

[0109] (4) The inherent production risk warning value is normalized using the “linear proportional conversion algorithm” and converted into the inherent production risk correction coefficient γ 固 :

[0110] Table 7: Inherent production risk warning values ​​and correction factor rules

[0111] Inherent production risk warning value G <![CDATA[Intrinsic production risk correction γ 固 > 83＜＜G＜＜324 <![CDATA[0<<γ 固 <<1]]>

[0112] Management and control risk warning index T 固 is determined as follows:

[0113] According to the above-mentioned analytic hierarchy process (AHP), the indicators and weights of each level are determined as shown in Table 8 below:

[0114] Table 8: Indicators and weights at each level of risk management and control

[0115]

[0116]

[0117] Quantitative calculation of early warning index of steel enterprise management and control risk through fuzzy comprehensive evaluation method

[0118] (1) The safety status level of each indicator is divided into 5 levels from high to low, corresponding to different quantitative scores of 1 to 5 points, as shown in Table 9 below:

[0119] Table 9: Safety status level of each indicator

[0120] Evaluation Set Security Status Evaluation score V5 Very consistent 5 V4 Comparison 4 V3 Generally in line with 3 V2 Basically in line with 2 V1 Not Compliant 1

[0121] (2) Conduct a single factor evaluation on the secondary indicator u in the indicator system and determine the corresponding single factor risk value:

[0122] r i =w i ×v i

[0123] (3) Calculate the early warning index of management and control risks:

[0124]

[0125] According to the calculation formula of inherent risk warning value R 固 =γ 固 ×T 固 , determine the inherent risk level, as shown in Table 10 below:

[0126] Table 10: Inherent risk levels

[0127] <![CDATA[R 固 ]]> Risk Level Warning level ＜2 Significant risks Ⅰ 2≤R＜3 Greater risk Ⅱ 3≤R＜4 General Risks Ⅲ 4≤R＜5 Low risk Ⅳ

[0128] 2. The construction process of the dynamic risk assessment model is as follows:

[0129] Dynamic risk warning index R 动 Determined by the operating status of key processes, mainly involving the alarm triggering and elimination of monitoring parameters and the enterprise management level;

[0130] R 动 =R alarm +R g

[0131] Among them, R alarm Represents the warning value of the main monitoring parameters, Rg Indicates the enterprise's on-site management warning value.

[0132] Among them, the monitoring parameter warning value R alarm By the "key parameter R i ” and “non-critical parameters R j " is obtained by weighted summation of the warning values. For key parameters, the weight is higher and the weight coefficient is set to a1; for non-key parameters, the weight is lower and the weight coefficient is set to a2. For example, in this embodiment, a1=1.2 and a2=0.8 are set.

[0133]

[0134] The method of distinguishing key parameters from non-key parameters is shown in Table 11 below:

[0135] Table 11: Key and non-key parameters

[0136]

[0137]

[0138] The evaluation and scoring rules for each dimension of the monitoring parameter warning value are shown in Table 12 below, with a full score of 120 points:

[0139] Table 12: Evaluation and scoring rules for each dimension of monitoring parameter warning value

[0140]

[0141] Monitoring parameter warning value R alarm The rating range is:

[0142] 0≤R alarm ≤122

[0143] Enterprise on-site management warning value R g The method to determine is:

[0144]

[0145] Among them, G i Indicates the warning values ​​of various dimensions of enterprise on-site management, as shown in Table 13 below:

[0146] Table 13: Enterprise on-site management warning value latitude assessment and scoring rules

[0147]

[0148]

[0149] 3. Risk Correction Matters

[0150] The basic safety risk level of steel enterprises is determined through a two-dimensional assessment matrix of dynamic risk and inherent risk, and the basic safety risk level can be adjusted through risk correction items.

[0151] Risk correction items refer to events that are not included in the assessment model, or the impact of these events on the enterprise is difficult to assess using general analysis models. Once these events occur, they will have a significant adverse impact on the safe production of steel enterprises, and will be directly raised by one or more levels. The specific adjustment items are classified as follows in Table 14:

[0152] Table 14: Classification of Adjustment Items

[0153]

[0154] This embodiment first obtains the production risk indicators and management risk indicators in the production process of the steel enterprise through experience, and obtains the weight of each indicator through the hierarchical analysis method, further obtains the production risk correction coefficient and the management risk warning index, and proposes a new inherent risk warning value calculation method. At the same time, a new dynamic risk assessment method is also proposed to further obtain the inherent risk level and dynamic risk level, and finally construct a two-dimensional assessment matrix of inherent risk and dynamic risk to obtain the basic risk level of the steel enterprise; this embodiment solves the definition and assignment problems of enterprise safety production indicators through a systematic safety risk identification and analysis method, which can not only comprehensively identify the potential dangers of the enterprise, but also discover various information required for the enterprise safety risk classification. It is an important basis for enterprise safety risk classification and control, and can effectively improve the efficiency and accuracy of steel enterprise safety production management and improve production safety.

[0155] Embodiment 2:

[0156] This embodiment provides a safety risk level assessment system for a steel enterprise, including: an inherent risk assessment model and a dynamic risk assessment model, after the inherent risk level and the dynamic risk level are respectively obtained by the two models, the basic risk level of the steel enterprise is obtained according to the inherent risk and dynamic risk two-dimensional assessment matrix;

[0157] In the inherent risk assessment model, the inherent risk level is determined by the inherent risk warning value, and the inherent risk warning value calculation formula is: R 固 =γ 固 ×T 固 , where γ 固 It represents the production risk correction coefficient, which is determined by quantitative calculation of the inherent production risk parameters of the steel enterprise; T 固 It represents the early warning index of risk control, which is determined by quantitative calculation of the inherent risk control capability of steel enterprises;

[0158] In the dynamic risk assessment model, the dynamic risk level is determined by the dynamic risk warning index, and the calculation method of the dynamic risk warning index is: R 动 =R alarm +R g , where R alarm It represents the early warning value of the main monitoring parameters, which is obtained by weighted summation of the early warning values ​​of the preset key parameters and non-key parameters; R g Indicates the enterprise on-site management warning value, Among them G i Indicates the warning values ​​of various dimensions of enterprise on-site management, including: average alarm elimination time and the number of currently unhandled alarm events.

[0159] Some steps in the embodiments of the present invention may be implemented using software, and the corresponding software program may be stored in a readable storage medium, such as a CD or a hard disk.

[0160] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for assessing safety risk levels in a steel enterprise, characterized in that: The method comprises: constructing an inherent risk assessment model and a dynamic risk assessment model, obtaining the inherent risk level and the dynamic risk level respectively by the two models, and obtaining the basic risk level of the steel enterprise according to the inherent risk and dynamic risk two-dimensional assessment matrix; In the inherent risk assessment model, the inherent risk level is determined by the inherent risk warning value, and the inherent risk warning value calculation formula is: 固 =γ 固 ×T 固 , where γ 固 It represents the production risk correction coefficient, which is determined by quantitative calculation of the inherent production risk parameters of the steel enterprise; T 固 It represents the early warning index of risk control, which is determined by quantitative calculation of the inherent risk control capability of steel enterprises; In the dynamic risk assessment model, the dynamic risk level is determined by the dynamic risk warning index, and the calculation method of the dynamic risk warning index is: R 动 =R alarm +R g , where R alarm It represents the early warning value of the main monitoring parameters, which is obtained by weighted summation of the early warning values ​​of the preset key parameters and non-key parameters; R g Indicates the enterprise on-site management warning value, Among them G i Indicates the warning values ​​of various dimensions of enterprise on-site management, including: average alarm elimination time and the number of currently unhandled alarm events.

2. The method according to claim 1, characterized in that The method further includes: adjusting the basic safety risk level through risk correction items, wherein the risk correction items represent events that are not included in the assessment model but have a significant adverse effect on the safe production of the steel enterprise.

3. The method according to claim 1, characterized in that The production risk correction factor γ 固 Methods for determining include: (1) Determine the important production indicators that affect the enterprise's production safety, classify them according to their subordinate relationships, and build a hierarchical indicator system; (2) Using the weights of indicators at each level of the analytic hierarchy process; (3) assigning values ​​to each indicator according to the weight of the hierarchical indicators to obtain the level and coefficient of each indicator; (4) Calculate the risk warning value of a single indicator: G i = level × coefficient; (5) Calculate the inherent production risk warning value: (6) The inherent production risk warning value is normalized using a linear proportional conversion algorithm to be converted into the inherent production risk correction coefficient γ 固 .

4. The method according to claim 1, characterized in that The method for determining the control risk warning index includes: (1) Determine the important control indicators that affect the enterprise's production safety, and use the analytic hierarchy process to determine the weight of each indicator; (2) Quantitatively calculate the early warning index of steel enterprise management and control risks through fuzzy comprehensive evaluation method; (3) Calculate the single factor risk value: r i =w i ×v i , where w i Indicates the weight of the important control indicators, v i Indicates the early warning index of management and control risk of the steel enterprise; (4) Calculate the early warning index of management and control risks: Among them, r i Represents the single factor risk value.

5. A safety risk level assessment system for steel enterprises, characterized in that: The system includes: an inherent risk assessment model and a dynamic risk assessment model. After the inherent risk level and the dynamic risk level are obtained by the two models respectively, the basic risk level of the steel enterprise is obtained according to the inherent risk and dynamic risk two-dimensional assessment matrix; In the inherent risk assessment model, the inherent risk level is determined by the inherent risk warning value, and the inherent risk warning value calculation formula is: 固 =γ 固 ×T 固 , where γ 固 It represents the production risk correction coefficient, which is determined by quantitative calculation of the inherent production risk parameters of the steel enterprise; T 固 It represents the early warning index of risk control, which is determined by quantitative calculation of the inherent risk control capability of steel enterprises; In the dynamic risk assessment model, the dynamic risk level is determined by the dynamic risk warning index, and the calculation method of the dynamic risk warning index is: R 动 =R alarm +R g , where R alarm It represents the early warning value of the main monitoring parameters, which is obtained by weighted summation of the early warning values ​​of the preset key parameters and non-key parameters; R g Indicates the enterprise on-site management warning value, Among them G i Indicates the warning values ​​of various dimensions of enterprise on-site management, including: average alarm elimination time and the number of currently unhandled alarm events.

6. The system according to claim 5, characterized in that The system also includes a risk correction item adjustment module for adjusting the basic safety risk level. Risk correction items represent: events that are not included in the assessment model but have a significant adverse effect on the safe production of the steel enterprise.

7. The system according to claim 5, characterized in that The production risk correction factor γ 固 Methods for determining include: (1) Determine the important production indicators that affect the enterprise's production safety, classify them according to their subordinate relationships, and build a hierarchical indicator system; (2) Using the weights of indicators at each level of the analytic hierarchy process; (3) assigning values ​​to each indicator according to the weight of the hierarchical indicators to obtain the level and coefficient of each indicator; (4) Calculate the risk warning value of a single indicator: G i = level × coefficient; (5) Calculate the inherent production risk warning value: (6) The inherent production risk warning value is normalized using a linear proportional conversion algorithm to be converted into the inherent production risk correction coefficient γ 固 .

8. The system according to claim 5, characterized in that The method for determining the control risk warning index includes: (1) Determine the important control indicators that affect the enterprise's production safety, and use the analytic hierarchy process to determine the weight of each indicator; (2) Quantitatively calculate the early warning index of steel enterprise management and control risks through fuzzy comprehensive evaluation method; (3) Calculate the single factor risk value: r i =w i ×v i , where w i Indicates the weight of the important control indicators, v i Indicates the early warning index of management and control risk of the steel enterprise; (4) Calculate the early warning index of management and control risks: Among them, r i Represents the single factor risk value.

9. A safety risk level assessment device for a steel enterprise, characterized in that: including memory and processor; The memory is used to store computer programs; The processor is used to implement the security risk level assessment method as described in any one of claims 1 to 4 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the security risk level assessment method according to any one of claims 1 to 4 is implemented.

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