Risk identification and evaluation method and system
Through a systematic risk identification and evaluation method, combined with matrix management and rule engine, risk values are calculated and detailed reports are generated, the problems of incomplete risk identification and bias in the evaluation results in the existing technology are solved, and the efficiency and accuracy of risk management are achieved ensures the effectiveness of safety measures.
Patent Information
- Application Number
- CN202411125775.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-16
- Publication Date
- 2024-12-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing risk identification methods are incomplete, relying on personal experience leads to deviations in results, it is difficult to reflect dynamic risk changes in real time, lack of systematic data analysis and effective risk management strategy optimization, and the evaluation does not match actual measures.
提供一种风险辨识评估方法和系统,包括风险辨识和评估两部分,通过定义风险矩阵、设置辨识单元和应用辨识规则,计算风险值,并通过风险评估模块输入安全措施、评估残余风险,动态调整风险等级,生成详细报告,支持系统化的风险监控和历史数据分析。
It improves the accuracy of risk identification and the accuracy of assessment, enhances the efficiency of risk management, ensures the effectiveness of safety measures, can dynamically reflect risk changes and generate intuitive risk reports.
Smart Images

Figure CN119151283A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of risk identification and assessment, and in particular to a risk identification and assessment method and system. Background Art
[0002] The core of the risk identification and assessment process is to identify and evaluate potential safety risks in order to develop effective management and control measures;
[0003] Existing technology defects
[0004] Incomplete risk identification: Traditional methods may miss some potential risks, especially in emerging technologies or complex systems.
[0005] Subjectivity of assessment methods: The assessment of L (likelihood of occurrence), E (exposure), C (consequence) or S (severity) in the risk matrix relies on personal experience, which may lead to biased results.
[0006] Dynamic risk changes are difficult to capture: Traditional assessment methods are mostly static and cannot reflect dynamic changes in risk status in real time.
[0007] Lack of systematic data analysis: After data collection, there is a lack of effective data analysis methods, which makes it impossible to learn from historical data and optimize risk management strategies.
[0008] Disconnect between risk assessment and actual measures: In some cases, the assessment results do not match the actual measures taken, failing to effectively reduce risks.
[0009] Therefore, a risk identification and assessment method and system are proposed. Summary of the invention
[0010] The purpose of the present invention is to provide a risk identification and assessment method and system to solve the problems raised in the above background technology.
[0011] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a risk identification and assessment method, which specifically includes two parts, namely, risk identification and risk assessment;
[0012] The steps for risk identification are as follows:
[0013] A1. Define the risk matrix: Administrators and experts define the LEC and LS matrices and set the weights and ranges of the L, E, C, and S values;
[0014] A2. Set up identification unit: Users set JHA and SCL job analysis according to specific business needs, input the job steps and possible hazards involved;
[0015] A3. Apply identification rules: The system selects applicable identification rules based on the preset rule engine. The user fills in specific parameters such as likelihood and severity, and the system calculates the risk value.
[0016] The risk assessment steps are as follows:
[0017] B1. Input security measures: Users input the implemented security measures and plans, and the system records and evaluates the effectiveness of the measures;
[0018] B2. Residual risk assessment: Calculate the residual risk after safety measures are taken, the system dynamically adjusts the risk level, and updates the representation in the four-color diagram;
[0019] B3. Risk report generation: Automatically generate detailed risk assessment reports, and users can view historical risk assessment data and the effectiveness of security measures.
[0020] A risk identification and assessment system, comprising a risk identification module, a risk assessment module, a database module, and a visualization and reporting module;
[0021] The risk identification module includes risk matrix management, identification unit management and identification rule engine;
[0022] The risk assessment module includes risk assessment calculation, safety measures management and residual risk assessment.
[0023] Preferably, the risk matrix management supports the creation and management of LEC and LS matrices, allowing users to define and adjust the values of matrix parameters L, E, C, and S;
[0024] Identification unit management, JHA and SCL job analysis management, preset jobs and operation step configuration;
[0025] Identify rule engines, define and apply JHA-LS, JHA-LEC, and SCL rules, and automatically select applicable rules based on jobs or operation steps.
[0026] Preferably, the risk assessment calculation calculates the risk value (R value) and automatically classifies the risk level, providing a rule-based dynamic assessment method;
[0027] Security measures management: input, store and track implemented security measures, and support the configuration and execution of multiple types of measures;
[0028] Residual risk assessment, evaluates and displays the remaining risk after safety measures are taken, dynamically updates the risk level and four-color diagram.
[0029] Preferably, the database module, the risk record database, stores risk identification and assessment results, records risk change history and risk response measures;
[0030] User and permission management: manage system users and their access rights to ensure security and compliance of sensitive data.
[0031] Preferably, the visualization and reporting module visualizes risks, displays risk matrix diagrams and four-color diagrams, and provides an intuitive view of risk level distribution;
[0032] Report generation: automatically generate risk assessment reports and support customized report templates and output formats.
[0033] Preferably, the weight range of the matrix parameter L in the risk matrix management is 1-5, where 1=extremely unlikely, 2=unlikely, 3=possible, 4=quite likely, 5=extremely likely, and the weight is set to 1.0 to ensure that it directly affects the risk value;
[0034] The weight range of C is 1-5, where 1 = insignificant, 2 = mild, 3 = moderate, 4 = severe, and 5 = catastrophic, with a weight set at 1.5-2.0;
[0035] The weight of S ranges from 1 to 5, where 1 = negligible, 2 = mild, 3 = moderate, 4 = severe, and 5 = catastrophic, with a weight set at 1.5-2.0.
[0036] Preferably, the risk value is calculated using the LEC matrix:
[0037] RLEC=(L×E×C), where the values of L, E, and C depend on the specific judgment of the risk. The risk value RLECR_{\text{LEC}}RLEC is calculated by the product method and is used to judge the risk level.
[0038] Preferably, the risk value is calculated using the LS matrix: RLS = (L×S), and the risk value RLS is calculated by the product method. Since the LS matrix does not take the degree of exposure into account, it is usually used for rapid assessment.
[0039] Preferably, the risk level is determined by setting the risk value RRR, where 1-5 is low risk, 6-10 is medium-low risk, 11-25 is medium risk, and 16-25 is high risk, with specific risk value divisions and color markings.
[0040] Compared with the prior art, the present invention has the following beneficial effects:
[0041] This risk identification and assessment system is designed to provide enterprises with comprehensive and accurate risk management tools. Through systematic risk identification, assessment and monitoring, it helps enterprises effectively reduce safety risks and ensure the safety of employees and production environment. The system design takes into account flexibility and scalability, and is suitable for risk management needs in different industries.
[0042] Through the above system, enterprises can achieve the following goals:
[0043] Improve the accuracy of risk identification: achieve higher identification efficiency through systematic processes and professional rules.
[0044] Optimize the accuracy of risk assessment: Combine mathematical calculations and professional experience to provide accurate risk level assessment.
[0045] Enhance the efficiency of risk management: Generate reports and monitor risk changes quickly with automated tools.
[0046] Improve the effectiveness of safety measures: formulate targeted safety measures based on the evaluation results to reduce the probability of accidents. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0048] Figure 1 is a flow chart of the risk identification and assessment method of the present invention;
[0049] Figure 2 The weight range table of the possibility of risk occurrence of the present invention;
[0050] Figure 3 A frequency or degree weight range table of risk exposures of the present invention;
[0051] Figure 4 This is a table of weight ranges of the severity of the consequences when the risks of the present invention occur;
[0052] Figure 5 is a table of severity weight ranges of risk consequences of the present invention;
[0053] Figure 6 The risk value and level table for risk level judgment of the present invention. DETAILED DESCRIPTION
[0054] 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 described embodiments 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.
[0055] See also Figures 1 to 6 , the present invention provides a technical solution:
[0056] A risk identification and assessment method, specifically including two parts, namely, risk identification and risk assessment;
[0057] The steps for risk identification are as follows:
[0058] A1. Define the risk matrix: Administrators and experts define the LEC and LS matrices and set the weights and ranges of the L, E, C, and S values;
[0059] A2. Set up identification unit: Users set JHA and SCL job analysis according to specific business needs, input the job steps and possible hazards involved;
[0060] A3. Apply identification rules: The system selects applicable identification rules based on the preset rule engine. The user fills in specific parameters such as likelihood and severity, and the system calculates the risk value.
[0061] The risk assessment steps are as follows:
[0062] B1. Input security measures: Users input the implemented security measures and plans, and the system records and evaluates the effectiveness of the measures;
[0063] B2. Residual risk assessment: Calculate the residual risk after safety measures are taken, the system dynamically adjusts the risk level, and updates the representation in the four-color diagram;
[0064] B3. Risk report generation: Automatically generate detailed risk assessment reports, and users can view historical risk assessment data and the effectiveness of security measures.
[0065] A risk identification and assessment system, comprising a risk identification module, a risk assessment module, a database module, and a visualization and reporting module;
[0066] The risk identification module includes risk matrix management, identification unit management and identification rule engine;
[0067] The risk assessment module includes risk assessment calculation, safety measures management and residual risk assessment.
[0068] Specifically, the risk matrix management supports the creation and management of LEC and LS matrices, allowing users to define and adjust the matrix parameters L, E, C, and S values;
[0069] Identification unit management, JHA and SCL job analysis management, preset jobs and operation step configuration;
[0070] Identify rule engines, define and apply JHA-LS, JHA-LEC, and SCL rules, and automatically select applicable rules based on jobs or operation steps.
[0071] Specifically, the risk assessment calculation calculates the risk value (R value) and automatically classifies the risk level, providing a rule-based dynamic assessment method;
[0072] Security measures management: input, store and track implemented security measures, and support the configuration and execution of multiple types of measures;
[0073] Residual risk assessment, evaluates and displays the remaining risk after safety measures are taken, dynamically updates the risk level and four-color diagram.
[0074] Specifically, the database module, the risk record database, stores risk identification and assessment results, records risk change history and risk response measures;
[0075] User and permission management: manage system users and their access rights to ensure security and compliance of sensitive data.
[0076] Specifically, the visualization and reporting module, risk visualization, displays a risk matrix diagram and a four-color diagram, providing an intuitive view of the risk level distribution;
[0077] Report generation: automatically generate risk assessment reports and support customized report templates and output formats.
[0078] Specifically, the weight range of the matrix parameter L in the risk matrix management is 1-5, where 1=extremely unlikely, 2=unlikely, 3=possible, 4=quite likely, 5=extremely likely, and the weight is set to 1.0 to ensure that it directly affects the risk value;
[0079] The weight range of C is 1-5, where 1 = insignificant, 2 = mild, 3 = moderate, 4 = severe, and 5 = catastrophic, with a weight set at 1.5-2.0;
[0080] The weight of S ranges from 1 to 5, where 1 = negligible, 2 = mild, 3 = moderate, 4 = severe, and 5 = catastrophic, with a weight set at 1.5-2.0.
[0081] Specifically, the risk value is calculated using the LEC matrix:
[0082] RLEC=(L×E×C), where the values of L, E, and C depend on the specific judgment of the risk. The risk value RLECR_{\text{LEC}}RLEC is calculated by the product method and is used to judge the risk level.
[0083] Specifically, the LS matrix is used to calculate the risk value: RLS = (L×S). The risk value RLS is calculated by the product method. Since the LS matrix does not take the degree of exposure into account, it is usually used for quick assessment.
[0084] Specifically, the risk level is judged and the risk value RRR is set, where 1-5 is low risk, 6-10 is medium-low risk, 11-25 is medium risk, and 16-25 is high risk, with specific risk value divisions and color markings.
[0085] Embodiment 1:
[0086] Assume that in a chemical plant, potential safety risks are identified and assessed:
[0087] Risk Identification Example
[0088] Define the risk matrix:
[0089] Use the LEC matrix to set the weights of L, E, and C (for example, L = 0.2, E = 0.3, C = 0.5). Set the recognition unit:
[0090] JHA Identification Unit: Handling of Chemical Substances.
[0091] SCL identification unit: reactor operation steps.
[0092] Application identification rules:
[0093] Select the JHA-LEC rule to assess the risk of chemical releases.
[0094] Input likelihood (L=3), exposure (E=2), and severity of consequence (C=5).
[0095] The calculated risk value R=3*2*5=30 is judged to be high risk.
[0096] Risk Assessment Example
[0097] Input security measures:
[0098] Install leak alarms.
[0099] Strengthen operator training.
[0100] Residual risk assessment:
[0101] The risk value is evaluated again and the probability is reduced (L=2).
[0102] The new risk value R=2*2*5=20, which is adjusted to medium risk.
[0103] Risk report generation:
[0104] The system generates reports to record changes in risks and the effectiveness of measures implemented.
[0105] Embodiment 2:
[0106] Risk Assessment in Manufacturing Plants
[0107] background
[0108] Scenario: There may be a leak during chemical processing.
[0109] Objective: Assess the risk of leakage and take appropriate safety measures.
[0110] step
[0111] Setting parameters:
[0112] Likelihood (L): 3 (may occur every year)
[0113] Exposure level (E): 4 (possible exposure per week)
[0114] Severity of consequences (C): 5 (catastrophic consequences)
[0115] Calculate the risk value:
[0116] Calculate using LEC matrix: RLEC = L × E × C = 3 × 4 × 5 = 60
[0117] Determine the risk level:
[0118] According to the risk level classification, R=60R=60R=60, which is high risk (red)
[0119] Implementing safety measures:
[0120] Install leak alarms.
[0121] Strengthen operator training.
[0122] Reassess residual risk:
[0123] New Likelihood (L): 2 (Unlikely)
[0124] Recalculation: RLECnew = 2 × 4 × 5 = 40
[0125] Adjusted to medium risk (orange).
[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A risk identification and assessment method and system, characterized in that: It specifically includes two parts: risk identification and risk assessment; The steps for risk identification are as follows: A1. Define the risk matrix: Administrators and experts define the LEC and LS matrices and set the weights and ranges of the L, E, C, and S values; A2. Set up identification unit: Users set JHA and SCL job analysis according to specific business needs, input the job steps and possible hazards involved; A3. Apply identification rules: The system selects applicable identification rules based on the preset rule engine. The user fills in specific parameters such as likelihood and severity, and the system calculates the risk value. The risk assessment steps are as follows: B1. Input security measures: Users input the implemented security measures and plans, and the system records and evaluates the effectiveness of the measures; B2. Residual risk assessment: Calculate the residual risk after safety measures are taken, the system dynamically adjusts the risk level, and updates the representation in the four-color diagram; B3. Risk report generation: Automatically generate detailed risk assessment reports, and users can view historical risk assessment data and the effectiveness of security measures.
2. A risk identification and assessment system applicable to claim 1, characterized in that: It includes risk identification module, risk assessment module, database module and visualization and reporting module; The risk identification module includes risk matrix management, identification unit management and identification rule engine; The risk assessment module includes risk assessment calculation, safety measures management and residual risk assessment.
3. A risk identification and assessment system according to claim 2, characterized in that: The risk matrix management supports the creation and management of LEC and LS matrices, allowing users to define and adjust the matrix parameters L, E, C, S values; Identification unit management, JHA and SCL job analysis management, preset jobs and operation step configuration; Identify rule engines, define and apply JHA-LS, JHA-LEC, and SCL rules, and automatically select applicable rules based on jobs or operation steps.
4. A risk identification and assessment system according to claim 3, characterized in that: The risk assessment calculation calculates the risk value (R value) and automatically classifies the risk level, providing a rule-based dynamic assessment method; Security measures management: input, store and track implemented security measures, and support the configuration and execution of multiple types of measures; Residual risk assessment, evaluates and displays the remaining risk after safety measures are taken, dynamically updates the risk level and four-color diagram.
5. A risk identification and assessment system according to claim 4, characterized in that: The database module, the risk record database, stores risk identification and assessment results, records risk change history and risk response measures; User and permission management: manage system users and their access rights to ensure security and compliance of sensitive data.
6. A risk identification and assessment system according to claim 5, characterized in that: The visualization and reporting module, risk visualization, displays a risk matrix diagram and a four-color diagram, providing an intuitive view of the risk level distribution; Report generation: automatically generate risk assessment reports and support customized report templates and output formats.
7. A risk identification and assessment system according to claim 6, characterized in that: The weight range of the matrix parameter L in the risk matrix management is 1-5, where 1=extremely unlikely, 2=unlikely, 3=possible, 4=quite likely, 5=extremely likely, and the weight is set to 1.0 to ensure that it directly affects the risk value; The weight range of C is 1-5, where 1 = insignificant, 2 = mild, 3 = moderate, 4 = severe, and 5 = catastrophic, with a weight set at 1.5-2.0; The weight of S ranges from 1 to 5, where 1 = negligible, 2 = mild, 3 = moderate, 4 = severe, and 5 = catastrophic, with a weight set at 1.5-2.
0.
8. A risk identification and assessment system according to claim 7, characterized in that: Calculate the risk value using the LEC matrix: RLEC=(L×E×C), where the values of L, E, and C depend on the specific judgment of the risk. The risk value RLECR_{\text{LEC}}RLEC is calculated by the product method and is used to judge the risk level.
9. A risk identification and assessment system according to claim 8, characterized in that: The risk value is calculated using the LS matrix: RLS = (L×S). The risk value RLS is calculated using the product method. Since the LS matrix does not take the degree of exposure into account, it is usually used for quick assessment.
10. A risk identification and assessment system according to claim 9, characterized in that: Determine the risk level and set the risk value RRR for risk level classification, where 1-5 is low risk, 6-10 is medium-low risk, 11-25 is medium risk, and 16-25 is high risk, with specific risk value classification and color marking.
