Main safety risk classification algorithm model for complex working environment
By implementing the algorithm model for classification and grading of major safety risks in complex operating environments, the problems of changing risk environments and insufficient priorities are solved, and the accurate assessment and management of major safety risks are achieved, and the probability and impact of security risks are reduced. .
Patent Information
- Application Number
- CN202411532262.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-30
- Publication Date
- 2025-02-11
AI Technical Summary
Due to the changing risk environment in complex operating environments, risk strategies cannot be updated in a timely manner, resulting in the failure to prioritize major safety risks in different categories, affecting the accuracy of risk measures and increasing the frequency of emergencies.
Provide the main safety risk classification and grading algorithm model for complex operating environments, including units for risk identification, evaluation, classification, grading and control. Through risk matrix method, hierarchical analysis method and other methods, risks can be evaluated, classified and graded, and corresponding preventive measures and emergency plans.
By accurately identifying and evaluating the main safety risks in complex operating environments, prioritizing and grading, formulating effective risk management strategies and measures, reducing the probability and impact of safety risks, and improving the level of operation safety management.
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Figure CN119416092A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of operating environment risk assessment, and in particular to a main safety risk classification and grading algorithm model for complex operating environments. Background Art
[0002] Complex working environments usually refer to those working environments that are diverse, changeable and high-risk. These environments may have a significant impact on the safety, health and work efficiency of operators. In order to improve the level of safety production management, it is necessary to manage safety risks in a graded manner.
[0003] In the existing technology, only the main security risks are graded and risk control is performed according to the grades. However, due to the different nature of risk occurrence, the risks are not classified, and it is impossible to prioritize the main security risks of different categories. In addition, the risk environment is changeable, and the risk strategy cannot be updated in time, which affects the accuracy of risk measures and leads to an increase in the frequency of emergencies. Summary of the invention
[0004] The purpose of the present invention is to provide an algorithm model for classifying and grading major safety risks in complex working environments, so as to solve the problems raised in the above-mentioned background technology that due to the changing risk environment, risks cannot be updated in a timely manner, and risks of different categories are not prioritized, which affects the accuracy of risk measures.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a main safety risk classification and grading algorithm model for complex operating environments, including a risk identification unit, a risk assessment unit, a risk classification unit, a risk grading unit and a risk control unit;
[0006] The risk identification unit is used to collect and analyze potential risk factors and screen out the main safety risk factors that have an impact;
[0007] The risk assessment unit is used to use the risk matrix method to determine the probability of risk occurrence and the degree of impact, and to assess the risk;
[0008] The risk classification unit is used to classify risks into different categories according to their nature and prioritize the risks of different categories;
[0009] The risk classification unit includes a classification module and a priority sorting module;
[0010] The classification module is used to classify risks into categories, and the risk categories include physical risks, chemical risks, biological risks and man-made risks;
[0011] The priority sorting module is used to divide the security risk issues into different levels using the hierarchical analysis method and prioritize the risk categories;
[0012] The risk grading unit is used to formulate grading standards, classify risks into different levels, and convert grading results;
[0013] The risk control unit is used to formulate risk control measures and monitor risk changes.
[0014] Preferably, the risk identification unit includes a data collection module, a factor analysis module and a risk identification module;
[0015] The data collection module is used to collect relevant data on risk factors using a variety of means, including on-site observation, expert interviews, historical risk calls and previous accident analysis;
[0016] The factor analysis module is used to analyze the potential major risk factors in the working environment and identify the factors that lead to safety incidents. The risk factors include human factors, environmental factors, management factors, mechanical equipment factors and other factors;
[0017] The risk identification module is used to conduct a comprehensive investigation of potential major risk factors in a complex operating environment, screen out and adjust risk factors, and form a risk identification table.
[0018] Preferably, the personnel factors include the technical level of the operators, the safety skills of the operators, the health status of the operators and the safety protection of the operators; the environmental factors include the safety enclosure conditions, surrounding cross-operations, the natural geographical environment and the on-site weather conditions; the management factors include safety skills training, on-site safety supervision and accident emergency rescue levels; the mechanical equipment factors include the use of detection equipment, the use of large machinery and the on-site water and electricity usage; the other factors include on-site environmental safety hazards, other personnel's safety awareness and the coordination of multiple trades.
[0019] Preferably, the risk assessment unit includes a risk matrix building module and a matrix updating module;
[0020] The risk matrix building module is used to assess risks, conduct a probability assessment and impact assessment on risks, and build a risk matrix;
[0021] The matrix update module is used to regularly update and adjust the risk matrix according to changes in the operating environment and the emergence of new risk sources.
[0022] Preferably, the possibility assessment includes the frequency of deviations, safety inspections, operating procedures, employee competence and control measures; the impact assessment includes casualties, property losses, corporate reputation losses and environmental damage.
[0023] Preferably, the prioritization of risks of different categories comprises the following steps:
[0024] S1. Divide the main security risk issues into different levels, including the overall goal level, sub-goal level, criterion level and solution level, and build a hierarchical model;
[0025] S2. For each pair of upper and lower layer elements, perform pairwise comparison to determine relative importance and construct a judgment matrix, wherein the elements in the judgment matrix represent the relative importance between the upper and lower layer elements;
[0026] S3. Calculate the relative weight of each element according to the judgment matrix, sort the elements at the same level, and determine the priority;
[0027] S4. After performing hierarchical single sorting, calculate the composite weight of the elements at each layer, perform a total sorting of all elements, and obtain the priority sorting results of the main safety risks in the complex working environment.
[0028] Preferably, the risk grading unit includes a grading module and a result conversion module;
[0029] The grading module is used to formulate grading standards and divide the risk level into five levels: low risk, general risk, greater risk and major risk;
[0030] The result conversion module is used to make a grade determination based on the risk assessment results and to rate the risks.
[0031] Preferably, the risk control unit includes a strategy formulation module and a dynamic monitoring module;
[0032] The strategy formulation module is used to formulate corresponding preventive measures and emergency plans according to the priority results and risk levels;
[0033] The dynamic monitoring module is used to monitor risk changes in real time and regularly evaluate and update risk status in complex operating environments.
[0034] Compared with the prior art, the present invention has the following beneficial effects:
[0035] The present invention collects and analyzes major potential risk factors in complex operating environments, obtains risk identification tables, determines the probability of risk occurrence and the degree of impact, evaluates major risks, classifies risks according to their nature, prioritizes risks, accurately determines the priority of safety risks, provides strong protection for operational safety, formulates grading standards, divides risk levels into five levels: low risk, general risk, greater risk, and major risk, makes level determinations based on risk assessment results, rates risks, and formulates corresponding preventive measures and emergency plans based on priority results and risk levels, thereby better understanding risk conditions and formulating effective risk management strategies and measures, thereby reducing the probability of occurrence and the degree of impact of safety risks. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Figure 1 It is a system block diagram of the main safety risk classification and grading algorithm model for complex operating environments of the present invention;
[0037] Figure 2 The present invention provides a main risk factor system for complex operating environments that is an algorithm model for classifying and grading main safety risks in complex operating environments.
[0038] In the figure:
[0039] 1. Risk identification unit; 11. Data collection module; 12. Factor analysis module; 13. Risk identification module; 2. Risk assessment unit; 21. Risk matrix construction module; 22. Matrix update module; 3. Risk classification unit; 31. Category classification module; 32. Priority sorting module; 4. Risk grading unit; 41. Level classification module; 42. Result conversion module; 5. Risk control unit; 51. Strategy formulation module; 52. Dynamic monitoring module. DETAILED DESCRIPTION
[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0041] Example: Refer to Figure 1 and Figure 2 As shown: the main safety risk classification and grading algorithm model for complex working environments includes a risk identification unit 1, a risk assessment unit 2, a risk classification unit 3, a risk grading unit 4 and a risk control unit 5;
[0042] Risk identification unit 1 is used to collect and analyze potential risk factors and screen out the main safety risk factors that have an impact;
[0043] The risk identification unit 1 includes a data collection module 11, a factor analysis module 12 and a risk identification module 13;
[0044] The data collection module 11 is used to collect relevant data of risk factors using a variety of means, including on-site observation, expert interviews, historical risk calls and previous accident analysis;
[0045] The factor analysis module 12 is used to analyze the potential major risk factors in the working environment and identify the factors that lead to safety incidents. The risk factors include human factors, environmental factors, management factors, mechanical equipment factors and other factors.
[0046] Human factors include the technical level of operators, safety skills of operators, health status of operators and safety protection of operators; environmental factors include safety enclosure conditions, surrounding cross-operation, natural geographical environment and on-site weather conditions; management factors include safety skills training, on-site safety supervision and accident emergency rescue level; mechanical equipment factors include the use of testing equipment, the use of large machinery and the use of water and electricity on-site; other factors include on-site environmental safety hazards, safety awareness of other personnel and the coordination of multiple types of work;
[0047] The risk identification module 13 is used to conduct a comprehensive investigation of potential major risk factors in a complex operating environment, screen out and adjust risk factors, and form a risk identification table.
[0048] The risk assessment unit 2 is used to use the risk matrix method to determine the probability of risk occurrence and the degree of impact, and to assess the risk;
[0049] The risk assessment unit 2 includes a risk matrix construction module 21 and a matrix update module 22;
[0050] The risk matrix construction module 21 is used to assess risks, conduct a possibility assessment and an impact assessment on risks, and construct a risk matrix;
[0051] The matrix update module 22 is used to regularly update and adjust the risk matrix according to changes in the operating environment and the emergence of new risk sources.
[0052] The likelihood assessment includes the frequency of deviations, safety inspections, operating procedures, employee competence and control measures; the impact assessment includes casualties, property losses, corporate reputation losses and environmental damage;
[0053] The risk classification unit 3 is used to classify risks into different categories according to their nature and prioritize the risks of different categories;
[0054] The risk classification unit 3 includes a classification module 31 and a priority ranking module 32;
[0055] The classification module 31 is used to classify risks into categories, and the risk categories include physical risks, chemical risks, biological risks and human risks;
[0056] The priority sorting module 32 is used to divide the security risk issues into different levels using the hierarchical analysis method and prioritize the risk categories;
[0057] Prioritizing different categories of risk involves the following steps:
[0058] Step 1: Divide the main security risk issues into different levels, including the overall goal level, sub-goal level, criterion level and solution level, and build a hierarchical model. The overall goal level represents the priority ranking of security risks, the sub-goal level represents the categories of security risk factors, the criterion level represents the specific risk factors under each category, and the solution level represents the specific preventive measures for each risk factor;
[0059] Step 2: For each pair of upper and lower layer elements, compare them two by two to determine their relative importance and construct a judgment matrix. The elements in the judgment matrix represent the relative importance between the upper and lower layer elements.
[0060] Step 3: Calculate the relative weight of each element according to the judgment matrix, sort the elements at the same level, and determine the priority;
[0061] Step 4: After performing hierarchical single sorting, calculate the composite weight of the elements at each layer, perform a total sorting of all elements, and obtain the priority sorting results of the main safety risks in the complex operating environment;
[0062] The risk grading unit 4 is used to formulate grading standards, classify risks into different levels, and convert grading results;
[0063] The risk grading unit 4 includes a grading module 41 and a result conversion module 42;
[0064] The grading module 41 is used to formulate grading standards and divide the risk level into five levels: low risk, general risk, greater risk and major risk;
[0065] The result conversion module 42 is used to make a level determination based on the risk assessment result and to rate the risk.
[0066] The risk control unit 5 is used to formulate risk control measures and monitor risk changes;
[0067] The risk control unit 5 includes a strategy formulation module 51 and a dynamic monitoring module 52;
[0068] The strategy formulation module 51 is used to formulate corresponding preventive measures and emergency plans according to the priority results and risk levels to reduce safety risks and ensure operation safety;
[0069] The dynamic monitoring module 52 is used to monitor risk changes in real time, and regularly evaluate and update the risk status in a complex operating environment.
[0070] The present invention collects and analyzes the main potential risk factors in the complex operating environment through the risk identification unit 1, uses a variety of analysis methods including on-site observation, expert interviews, historical risk calls and previous accident analysis to identify risks, selects the main risk factors, and obtains a risk identification table. The risk assessment unit 2 assesses the risks by determining the probability of risk occurrence and the degree of impact, establishes a risk matrix, and updates and adjusts the risk matrix according to changes in the operating environment and the emergence of new risk sources. The category classification module 31 classifies the risks according to the nature of the risks, prioritizes the risks, accurately determines the priorities of the main safety risks, and provides strong protection for operational safety. A grading standard is formulated to divide the risk level into five levels: low risk, general risk, greater risk and major risk. The level is determined according to the risk assessment results, and the risks are rated. According to the priority results and risk levels, corresponding preventive measures and emergency plans are formulated. The risk status in the complex operating environment is regularly evaluated and updated, so as to better understand the risk status and formulate effective risk management strategies and measures, thereby reducing the probability of occurrence and the degree of impact of safety risks.
[0071] Although the present invention 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 invention should be included in the protection scope of the present invention.
Claims
1. The main safety risk classification and grading algorithm model for complex working environments is characterized by: It includes a risk identification unit (1), a risk assessment unit (2), a risk classification unit (3), a risk grading unit (4) and a risk control unit (5); The risk identification unit (1) is used to collect and analyze potential risk factors and screen out major safety risk factors that have an impact; The risk assessment unit (2) is used to use the risk matrix method to determine the probability of risk occurrence and the degree of impact, and to assess the risk; The risk classification unit (3) is used to classify risks into different categories according to their nature and prioritize the risks of different categories; The risk classification unit (3) comprises a classification module (31) and a priority ranking module (32); The classification module (31) is used to classify risks into categories, and the risk categories include physical risks, chemical risks, biological risks and human risks; The priority sorting module (32) is used to divide the security risk issues into different levels using the hierarchical analysis method and to prioritize the risk categories; The risk grading unit (4) is used to formulate grading standards, classify risks into different levels, and convert grading results; The risk control unit (5) is used to formulate risk control measures and monitor risk changes.
2. The main safety risk classification and grading algorithm model for complex working environments according to claim 1 is characterized by: The risk identification unit (1) comprises a data collection module (11), a factor analysis module (12) and a risk identification module (13); The data collection module (11) is used to collect data related to risk factors using a variety of means, including on-site observation, expert interviews, historical risk calls and past accident analysis; The factor analysis module (12) is used to analyze the potential major risk factors in the working environment and identify the factors that lead to safety incidents, wherein the risk factors include human factors, environmental factors, management factors, mechanical equipment factors and other factors; The risk identification module (13) is used to conduct a comprehensive investigation of potential major risk factors in a complex operating environment, screen out and adjust risk factors, and form a risk identification table.
3. The main safety risk classification and grading algorithm model for complex working environments according to claim 2 is characterized by: The personnel factors include the technical level of the operators, the safety skills of the operators, the health status of the operators and the safety protection of the operators; the environmental factors include the safety enclosure conditions, surrounding cross-operations, the natural geographical environment and the on-site weather conditions; the management factors include safety skills training, on-site safety supervision and accident emergency rescue levels; the mechanical equipment factors include the use of testing equipment, the use of large machinery and the on-site water and electricity usage; the other factors include on-site environmental safety hazards, other personnel's safety awareness and the coordination of multiple trades.
4. The main safety risk classification and grading algorithm model for complex working environments according to claim 2 is characterized by: The risk assessment unit (2) comprises a risk matrix construction module (21) and a matrix update module (22); The risk matrix construction module (21) is used to assess risks, conduct a probability assessment and an impact assessment on risks, and construct a risk matrix; The matrix updating module (22) is used to regularly update and adjust the risk matrix according to changes in the operating environment and the emergence of new risk sources.
5. The main safety risk classification and grading algorithm model for complex working environments according to claim 4 is characterized by: The possibility assessment includes the frequency of deviations, safety inspections, operating procedures, employee competence and control measures; the impact assessment includes casualties, property losses, corporate reputation losses and environmental damage.
6. The main safety risk classification and grading algorithm model for complex working environments according to claim 1 is characterized by: The prioritization of different categories of risks includes the following steps: S1. Divide the main security risk issues into different levels, including the overall goal level, sub-goal level, criterion level and solution level, and build a hierarchical model; S2. For each pair of upper and lower layer elements, perform pairwise comparison to determine relative importance and construct a judgment matrix, wherein the elements in the judgment matrix represent the relative importance between the upper and lower layer elements; S3. Calculate the relative weight of each element according to the judgment matrix, sort the elements at the same level, and determine the priority; S4. After performing hierarchical single sorting, calculate the composite weight of the elements at each layer, perform a total sorting of all elements, and obtain the priority sorting results of the main safety risks in the complex working environment.
7. The main safety risk classification and grading algorithm model for complex working environments according to claim 1 is characterized by: The risk grading unit (4) comprises a grading module (41) and a result conversion module (42); The grading module (41) is used to formulate grading standards and divide the risk levels into five levels: low risk, general risk, greater risk and major risk; The result conversion module (42) is used to make a grade determination based on the risk assessment result and to rate the risk.
8. The main safety risk classification and grading algorithm model for complex working environments according to claim 1 is characterized by: The risk control unit (5) comprises a strategy formulation module (51) and a dynamic monitoring module (52); The strategy formulation module (51) is used to formulate corresponding preventive measures and emergency plans according to the priority results and risk levels; The dynamic monitoring module (52) is used to monitor risk changes in real time, and regularly evaluate and update the risk status in a complex operating environment.