A residual risk assessment method and system for safety production risk zoning

Abstract

The present invention discloses a residual risk assessment method and system for safe production risk zoning, which relates to the field of safe production technology. A comprehensive assessment model combining static analysis and dynamic analysis can more accurately reflect the risk level of risk zoning, and has better application effect. At the same time, this scheme is divided into dynamic and static risk control assessment services. Static risk control outputs the original inherent risk, and dynamic risk control outputs the residual risk. In the application of the algorithm model, the level of residual risk is calculated, and risk control warnings and recommended preventive measures are carried out. In this way, inherent risk control and risk control measures for residual risks are distinguished. The standardized risk assessment process and clear risk level display are helpful to improve employees' safety awareness and promote the construction of corporate safety culture. Through systematic analysis and evaluation of risks, corporate management can make more reasonable decisions based on data and improve the overall safety management level.

Description

Technical Field

[0001] The present invention relates to the technical field of safe production, and in particular to a residual risk assessment method and system for safe production risk zoning. Background Art

[0002] With the acceleration of industrialization and rapid economic development, production safety issues have gradually revealed their complexity and diversity. Especially in high-risk industries such as chemical, electric power, mining, etc., the frequent occurrence of safety accidents not only causes direct economic losses to enterprises, but also may have a significant impact on the life safety of employees and the environment. Therefore, it is imperative to establish an effective production safety risk assessment and management system.

[0003] Existing technologies such as the invention patent application with announcement number CN114021967A discloses a method for pre-control and assessment of production safety risks for township government departments, including: obtaining production safety risk information of each enterprise in the region; determining the risk level of each enterprise in the region and classifying them to obtain several classification sets; setting a weight coefficient in regional production safety risk for each classification set; determining the regional production risk coefficient according to the number of enterprises included in each classification set and the weight coefficient. The regional production risk coefficient can be accurately determined, and corresponding pre-control measures can be taken in a timely manner. The hierarchical and classified supervision of enterprise safety risks is promoted. According to the principle of hierarchical territorial supervision, differentiated dynamic supervision is implemented for enterprises with different risk levels. Hierarchical pre-control measures are adopted for production safety risks, and different measures are taken for risks of different levels to improve the pertinence of risk control measures. The effectiveness of risk pre-control is improved and the management level is improved.

[0004] In view of the above scheme, the applicant of the present invention has found that the above technology has at least the following technical problems: 1. The risk assessment of the prior art remains at the realization of the aforementioned inherent risk and control risk. This risk control assessment method has obvious defects: this method is mainly a static assessment, risk control measures may fail to be implemented, special operations in the area may bring new risk events, and whether emergency materials and emergency plans cover the risk area is also a consideration for risk assessment.

[0005] 2. Even if an emergency plan is formulated in a certain risk area with existing technology, it may still lead to an inability to effectively respond to emergencies if it fails to fully cover all potential risk situations or lacks the necessary emergency materials and resources. At the same time, risk assessment is often completed by a single department, lacking cross-departmental collaboration and information sharing, resulting in incomplete risk identification and response measures. With the introduction of new technologies and new processes, relevant risk knowledge and response strategies are also constantly evolving. If the risk assessment system is not updated in a timely manner, it may cause a lag in assessment. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a residual risk assessment method and system for production safety risk zoning.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a residual risk assessment method for production safety risk zoning, including: Step 1, obtaining the inherent risk coefficient: obtaining the inherent risk data corresponding to each risk area in the target enterprise at the current moment, the inherent risk parameters including the number of dangerous process equipment, the number of hazardous sources, the density of personnel and the number of flammable and explosive substances, and then analyzing to obtain the inherent risk coefficient corresponding to each risk area.

[0008] Step 2. Obtaining the emergency preparedness assessment coefficient: Obtain the emergency plan data corresponding to each risk area. The emergency plan data includes the number of risk events covered by the emergency plan, the ratio of emergency material inventory to demand, and the effectiveness score of each risk emergency plan. Then analyze and obtain the emergency preparedness assessment coefficient corresponding to each risk area.

[0009] Step 3. Obtaining the operation risk coefficient: Obtain the operation risk data corresponding to each risk area. The operation risk data includes the number of special operations, the risk index corresponding to each type of special operations, and the weather risk index, so as to analyze and obtain the operation risk coefficient corresponding to each risk area, and according to the emergency preparedness assessment coefficient corresponding to each risk area, further analyze and obtain the control risk coefficient corresponding to each risk area.

[0010] Step 4: Obtaining the residual risk assessment coefficient: Based on the control risk coefficient and inherent risk coefficient corresponding to each risk area, the residual risk assessment coefficient corresponding to each risk area is analyzed and obtained.

[0011] Step 5: Risk level analysis: Based on the residual risk assessment coefficient corresponding to each risk area, analyze the residual risk level corresponding to each risk area, and analyze the preventive measures corresponding to each risk area.

[0012] Preferably, the inherent risk data corresponding to each risk area in the target enterprise at the current moment is obtained, and the specific acquisition process is as follows: S1. Obtain a detailed list of all process equipment through the equipment management system or asset management system of the target enterprise, and then obtain the number of hazardous process equipment corresponding to each risk area in the target enterprise.

[0013] S2. The target enterprise uses high-definition cameras in conjunction with image recognition technology to automatically detect and identify the presence of hazardous sources, generate real-time monitoring data, and automatically identify and record the number of hazardous sources corresponding to each risk area in the target enterprise.

[0014] S3. Install smart sensors in each risk area of ​​the target enterprise to monitor the number of people in each risk area in real time, centralize the sensor data into a data platform, and calculate and display the personnel density of each risk area in real time.

[0015] S4. The target enterprise shall equip each flammable and explosive substance with an RFID tag, and use an RFID reader / writer to automatically read and record the quantity of the substance in each risk area, thereby obtaining the quantity of flammable and explosive substances corresponding to each risk area in the target enterprise.

[0016] Preferably, the analysis obtains the control risk coefficient corresponding to each risk area. The specific analysis process is as follows: the operational risk coefficient and the emergency preparedness assessment coefficient corresponding to each risk area are summed up to obtain the sum of the operational risk coefficient and the emergency preparedness assessment coefficient corresponding to each risk area, and the sum is recorded as the control risk coefficient corresponding to each risk area.

[0017] Preferably, the analysis obtains the residual risk assessment coefficient corresponding to each risk area. The specific analysis process is as follows: the difference between the inherent risk coefficient and the control risk coefficient corresponding to each risk area is calculated, and then the difference between the inherent risk coefficient and the control risk coefficient corresponding to each risk area is obtained, and the difference is recorded as the residual risk assessment coefficient corresponding to each risk area.

[0018] Preferably, the residual risk level corresponding to each risk area is analyzed, and the specific analysis process is as follows:

[0019] The residual risk assessment coefficient corresponding to each risk area is compared with the residual risk assessment coefficient interval corresponding to each residual risk level in the database. If the residual risk assessment coefficient corresponding to a risk area is within the residual risk assessment coefficient interval corresponding to a residual risk level in the database, the residual risk level in the database will be used as the residual risk level corresponding to the risk area. In this way, the residual risk level corresponding to each risk area is analyzed.

[0020] Preferably, the preventive measures corresponding to each risk area are analyzed, and the specific analysis process is as follows: the residual risk level corresponding to each risk area is compared with the residual risk level corresponding to each preventive measure in the database. If the residual risk level corresponding to a risk area is the same as the residual risk level corresponding to a preventive measure in the database, then the preventive measure in the database is used as the preventive measure corresponding to the risk area. In this way, the preventive measures corresponding to each risk area are analyzed.

[0021] In a second aspect, the present invention provides a residual risk assessment system for production safety risk zoning, including: an inherent risk coefficient acquisition module: used to obtain the inherent risk data corresponding to each risk area in the target enterprise at the current moment, the inherent risk parameters including the number of dangerous process equipment, the number of hazardous sources, the density of personnel and the number of flammable and explosive substances, and then analyze to obtain the inherent risk coefficient corresponding to each risk area.

[0022] Emergency preparedness assessment coefficient acquisition module: used to obtain the emergency plan data corresponding to each risk area. The emergency plan data includes the number of risk events covered by the emergency plan, the ratio of emergency material inventory to demand, and the effectiveness score corresponding to each risk emergency plan, and then analyze and obtain the emergency preparedness assessment coefficient corresponding to each risk area.

[0023] Operation risk coefficient acquisition module: used to obtain the operation risk data corresponding to each risk area. The operation risk data includes the number of special operations, the risk index corresponding to each type of special operations and the weather risk index, so as to analyze and obtain the operation risk coefficient corresponding to each risk area, and according to the emergency preparedness assessment coefficient corresponding to each risk area, further analyze and obtain the control risk coefficient corresponding to each risk area.

[0024] Residual risk assessment coefficient acquisition module: used to analyze and obtain the residual risk assessment coefficient corresponding to each risk area based on the control risk coefficient and inherent risk coefficient corresponding to each risk area.

[0025] Risk level analysis module: used to analyze the residual risk level corresponding to each risk area according to the residual risk assessment coefficient corresponding to each risk area, and analyze the preventive measures corresponding to each risk area.

[0026] The beneficial effects of the present invention are: 1. The present invention provides a residual risk assessment method and system for production safety risk zoning, which combines a comprehensive assessment model of static analysis and dynamic analysis, can more accurately reflect the risk level of the risk zoning, and has better application effect. At the same time, this solution is divided into dynamic and static risk control assessment services. Static risk control outputs the original inherent risk, and dynamic risk control outputs the residual risk. In the application of the algorithm model, the level of residual risk is calculated, and risk control warnings and preventive measures are recommended. In this way, inherent risk control and risk control measures for residual risks are distinguished.

[0027] 2. The embodiment of the present invention provides a systematic comprehensive assessment framework through multi-step analysis of inherent risks, emergency preparedness, operational risks and control risks, ensuring that all risk factors are taken into consideration. By acquiring and analyzing specific risk data, such as inherent risk parameters, emergency plan data, etc., the risk assessment process is made more quantitative, reducing the uncertainty caused by subjective judgment. Dynamic assessment is performed based on the company's current risk areas and operating conditions to adapt to the company's production safety needs at different stages and in different environments. The analysis of emergency preparedness assessment coefficients and operational risk coefficients can help companies formulate more accurate risk control measures and improve emergency response capabilities.

[0028] 3. According to the embodiments of the present invention, by identifying and evaluating the risk level of each risk area, the enterprise can allocate production safety resources more reasonably, concentrate on solving problems in high-risk areas, and improve safety management efficiency. The standardized risk assessment process and clear risk level display can help improve employees' safety awareness and promote the construction of corporate safety culture. Through systematic analysis and evaluation of risks, the enterprise management can make more reasonable decisions based on data and improve the overall safety management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 The present invention is a flowchart of the steps for implementing the method.

[0031] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0032] 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.

[0033] Embodiments of the present invention Figure 1As shown, a residual risk assessment method for production safety risk zoning includes: Step 1, obtaining the inherent risk coefficient: obtaining the inherent risk data corresponding to each risk area in the target enterprise at the current moment, the inherent risk parameters include the number of dangerous process equipment, the number of hazardous sources, the density of personnel and the number of flammable and explosive substances, and then analyzing to obtain the inherent risk coefficient corresponding to each risk area.

[0034] It should be noted that the risk area is a relatively independent and clearly defined area within the enterprise where the production equipment, storage facilities, workplaces and public works or workshops and work sections are located.

[0035] It should also be noted that the inherent risk is the basic risk level of the region, which is represented by a comprehensive calculation of indicators such as the number of hazardous process equipment, the number of hazardous sources, the density of personnel, and the number of flammable and explosive substances.

[0036] In a specific embodiment, the inherent risk data corresponding to each risk area in the target enterprise at the current moment is obtained, and the specific acquisition process is as follows: S1. Obtain a detailed list of all process equipment through the equipment management system or asset management system of the target enterprise, and then obtain the number of dangerous process equipment corresponding to each risk area in the target enterprise.

[0037] S2. The target enterprise uses high-definition cameras in conjunction with image recognition technology to automatically detect and identify the presence of hazardous sources, generate real-time monitoring data, and automatically identify and record the number of hazardous sources corresponding to each risk area in the target enterprise.

[0038] S3. Install smart sensors in each risk area of ​​the target enterprise to monitor the number of people in each risk area in real time, centralize the sensor data into a data platform, and calculate and display the personnel density of each risk area in real time.

[0039] S4. The target enterprise shall equip each flammable and explosive substance with an RFID tag, and use an RFID reader / writer to automatically read and record the quantity of the substance in each risk area, thereby obtaining the quantity of flammable and explosive substances corresponding to each risk area in the target enterprise.

[0040] In another specific embodiment, the analysis obtains the inherent risk coefficient corresponding to each risk area. The specific analysis process is as follows: the number of dangerous process equipment, the number of dangerous sources, the density of personnel and the number of flammable and explosive substances corresponding to each risk area are respectively recorded as A g , B g , C g and D g , where g represents the number corresponding to each risk area, g = 1, 2...u, u is any integer greater than 2, substitute into the calculation formula The inherent risk coefficient γ corresponding to each risk area is obtained g, where A′, B′, C′, and D′ are the standard number of hazardous process equipment, standard number of hazardous sources, standard personnel density, and standard number of flammable and explosive substances corresponding to the set risk area, respectively; ω1, ω2, ω3, and ω4 are the weight factors corresponding to the number of hazardous process equipment, the weight factor corresponding to the number of hazardous sources, the weight factor corresponding to the personnel density, and the weight factor corresponding to the number of flammable and explosive substances in the set risk area, respectively.

[0041] It should be noted that ω1, ω2, ω3, and ω4 are all greater than 0 and less than 1.

[0042] It should also be noted that through the summary of a large amount of research data and experimental data, professional institutions and research institutions set the standard number of hazardous process equipment, standard number of hazardous sources, standard personnel density, and standard number of flammable and explosive substances corresponding to the risk area. At the same time, based on the professional knowledge and research basis of experts in the field, they discuss and confirm with industry organizations or professional institutions. Experts set the weight factors corresponding to the number of hazardous process equipment in the risk area, the weight factors corresponding to the number of hazardous sources, the weight factors corresponding to the personnel density, and the weight factors corresponding to the number of flammable and explosive substances based on their own experience and knowledge.

[0043] It needs to be explained again that the standard number of hazardous process equipment, the standard number of hazardous sources, the standard personnel density, and the standard number of flammable and explosive substances are the threshold values ​​for the number of hazardous process equipment, the threshold values ​​for the number of hazardous sources, the threshold values ​​for the personnel density, and the threshold values ​​for the number of flammable and explosive substances, respectively. For example: the standard number of hazardous process equipment is 10, the standard number of hazardous sources is 30, the standard personnel density is 5, and the standard number of flammable and explosive substances is 30. If the number of hazardous process equipment corresponding to the risk area is greater than the standard number of hazardous process equipment, the risk level will increase; if the number of hazardous sources corresponding to the risk area is greater than the standard number of hazardous sources, the risk level will increase; if the personnel density corresponding to the risk area is greater than the standard personnel density, the risk level will increase; if the number of flammable and explosive substances corresponding to the risk area is greater than the standard number of flammable and explosive substances, the risk level will increase.

[0044] Step 2. Obtaining the emergency preparedness assessment coefficient: Obtain the emergency plan data corresponding to each risk area. The emergency plan data includes the number of risk events covered by the emergency plan, the ratio of emergency material inventory to demand, and the effectiveness score of each risk emergency plan. Then analyze and obtain the emergency preparedness assessment coefficient corresponding to each risk area.

[0045] It should be noted that by reviewing the existing emergency plan documents for each risk area of ​​the target enterprise, recording the risk events covered by each plan, and collecting the inventory status of emergency materials, there will usually be a relevant management system or database to record the inventory quantity. Based on historical data, scenario analysis and risk assessment, the demand quantity when different risk events occur is predicted. The formula is: Inventory to demand ratio = inventory quantity / demand quantity. The indicators for evaluating effectiveness are determined, such as response time, effectiveness of resource allocation, frequency and effectiveness of emergency drills, etc., and experts will score the effectiveness of each risk emergency plan based on their own experience and knowledge.

[0046] In a specific embodiment, the analysis obtains the emergency preparedness assessment coefficient corresponding to each risk area. The specific analysis process is as follows: the number of risk events covered by the emergency plan corresponding to each risk area, the ratio of emergency material inventory to demand, and the effectiveness score corresponding to each risk emergency plan are recorded as E g 、F g and Among them, g represents the number corresponding to each risk area, g = 1, 2...u, u is any integer greater than 2, h represents the number corresponding to each risk emergency plan, h = 1, 2...m, m is any integer greater than 2, substitute into the calculation formula The emergency preparedness assessment coefficient λ corresponding to each risk area is obtained g , where E′, F′, and G′ are the number of risk events covered by the standard emergency plan corresponding to the set risk area, the standard emergency material inventory and demand ratio, and the standard effectiveness score corresponding to the risk emergency plan, respectively; θ1, θ2, and θ3 are the weight factors corresponding to the number of risk events covered by the emergency plan in the set risk area, the weight factor corresponding to the emergency material inventory and demand ratio, and the weight factor corresponding to the effectiveness score of the risk emergency plan, respectively.

[0047] It should be noted that θ1, θ2, and θ3 are all greater than 0 and less than 1.

[0048] It should also be noted that through the summary of a large amount of research data and experimental data, professional institutions and research institutions set the number of risk events covered by the standard emergency plan corresponding to the risk area, the standard emergency material inventory and demand ratio, and the standard effectiveness score corresponding to the risk emergency plan. At the same time, based on the professional knowledge and research basis of experts in the field, they discuss and confirm with industry organizations or professional institutions. Experts set the weight factors corresponding to the number of risk events covered by the emergency plan in the risk area, the weight factors corresponding to the emergency material inventory and demand ratio, and the weight factors corresponding to the effectiveness score of the risk emergency plan based on their own experience and knowledge.

[0049] It needs to be explained again that the number of risk events covered by the standard emergency plan, the standard emergency material inventory and demand ratio, and the standard effectiveness score corresponding to the risk emergency plan are the thresholds for the number of risk events covered by the emergency plan, the threshold for the emergency material inventory and demand ratio, and the effectiveness score threshold corresponding to the risk emergency plan, respectively. For example: the number of risk events covered by the standard emergency plan is 10, the standard emergency material inventory and demand ratio is 0.8, and the standard effectiveness score corresponding to the risk emergency plan is 10. If the number of risk events covered by the emergency plan corresponding to the risk area is less than the number of risk events covered by the standard emergency plan, the risk level will increase. If the emergency material inventory and demand ratio corresponding to the risk area is less than the emergency material inventory and demand ratio, the risk level will increase. If the effectiveness score of the risk emergency plan corresponding to the risk area is less than the standard effectiveness score of the risk emergency plan, the risk level will increase.

[0050] Step 3. Obtaining the operation risk coefficient: Obtain the operation risk data corresponding to each risk area. The operation risk data includes the number of special operations, the risk index corresponding to each type of special operations, and the weather risk index, so as to analyze and obtain the operation risk coefficient corresponding to each risk area, and according to the emergency preparedness assessment coefficient corresponding to each risk area, further analyze and obtain the control risk coefficient corresponding to each risk area.

[0051] It should be noted that risk control is the implementation of risk assessment to determine the regional risk level, taking into account the implementation of corresponding control measures at risk points in the region.

[0052] It should also be noted that direct observation and recording should be carried out on-site in each risk area of ​​the target enterprise to understand the current special operations situation, organize the collected number of special operations into a database or spreadsheet, classify and summarize, invite safety management experts, engineers and related personnel to discuss and determine the risk index of various special operations, and convert real-time weather data into risk index. Consider building a weather risk assessment model to identify which weather factors are critical according to different types of special operations, set risk scoring standards for each weather factor, set weights according to the degree of influence of each weather factor, and calculate the comprehensive weather risk index.

[0053] In a specific embodiment, the analysis obtains the operation risk coefficient corresponding to each risk area. The specific analysis process is as follows: the number of special operations corresponding to each risk area, the risk index corresponding to each type of special operation, and the weather risk index are respectively recorded as H g , and Among them, g represents the number corresponding to each risk area, g = 1, 2...u, u is any integer greater than 2, y represents the number corresponding to each type of special operation, y = 1, 2...n, n is any integer greater than 2, substitute into the calculation formula The operation risk coefficient π corresponding to each risk area is obtained g , where H′, R′, and K′ are the number of standard special operations corresponding to the set risk area, the standard risk index corresponding to each type of special operation, and each standard weather risk index, respectively. They are the weight factors corresponding to the number of special operations in the set risk area, the weight factors corresponding to the risk index of each type of special operation, and the weight factors corresponding to each weather risk index.

[0054] It should be noted that Both are greater than 0 and less than 1.

[0055] It should also be noted that through the summary of a large amount of research data and experimental data, professional institutions and research institutions set the standard number of special operations corresponding to the risk area, the standard risk index corresponding to the type of special operations, and the standard weather risk index. At the same time, based on the professional knowledge and research basis of experts in the field, and discussed and confirmed with industry organizations or professional institutions, experts set the weight factors corresponding to the number of special operations in the risk area, the weight factors corresponding to the type of special operation risk index, and the weight factors corresponding to the weather risk index based on their own experience and knowledge.

[0056] It needs to be explained again that the standard number of special operations, the standard risk index corresponding to type special operations, and the standard weather risk index are the threshold of the number of special operations, the risk index threshold corresponding to type special operations, and the weather risk index threshold, respectively. For example: the standard number of special operations is 2, the standard risk index corresponding to type special operations is 5, and the standard weather risk index is 5. If the number of special operations corresponding to the risk area is greater than the standard number of special operations, the risk level will increase. If the risk index corresponding to the type special operations corresponding to the risk area is greater than the standard risk index corresponding to the type special operations, the risk level will increase. If the weather risk index corresponding to the type special operations corresponding to the risk area is greater than the standard weather risk index corresponding to the type special operations, the risk level will increase.

[0057] The embodiments of the present invention provide a systematic and comprehensive assessment framework through multi-step analysis of inherent risks, emergency preparedness, operational risks and control risks, ensuring that various risk factors are taken into consideration. By acquiring and analyzing specific risk data, such as inherent risk parameters, emergency plan data, etc., the risk assessment process is made more quantitative, and the uncertainty caused by subjective judgment is reduced. Dynamic assessment is performed based on the company's current risk areas and operational conditions to adapt to the company's production safety needs at different stages and in different environments. By analyzing the emergency preparedness assessment coefficient and the operational risk coefficient, the company can formulate more accurate risk control measures and improve emergency response capabilities.

[0058] In another specific embodiment, the analysis obtains the control risk coefficient corresponding to each risk area, and the specific analysis process is as follows: the operational risk coefficient and the emergency preparedness assessment coefficient corresponding to each risk area are summed up to obtain the sum of the operational risk coefficient and the emergency preparedness assessment coefficient corresponding to each risk area, and the sum is recorded as the control risk coefficient corresponding to each risk area.

[0059] Step 4: Obtaining the residual risk assessment coefficient: Based on the control risk coefficient and inherent risk coefficient corresponding to each risk area, the residual risk assessment coefficient corresponding to each risk area is analyzed and obtained.

[0060] It should be noted that residual risk refers to the risk that still exists after all reasonable risk control measures have been taken.

[0061] In a specific embodiment, the analysis obtains the residual risk assessment coefficient corresponding to each risk area. The specific analysis process is as follows: the difference between the inherent risk coefficient and the control risk coefficient corresponding to each risk area is calculated, and then the difference between the inherent risk coefficient and the control risk coefficient corresponding to each risk area is obtained, and the difference is recorded as the residual risk assessment coefficient corresponding to each risk area.

[0062] Step 5: Risk level analysis: Based on the residual risk assessment coefficient corresponding to each risk area, analyze the residual risk level corresponding to each risk area, and analyze the preventive measures corresponding to each risk area.

[0063] It should be noted that the residual risk level: the regional risk level is divided from high to low into major risk, greater risk, general risk and low risk, marked with four colors: red, orange, yellow and blue respectively.

[0064] In a specific embodiment, the analysis of the residual risk level corresponding to each risk area is as follows: the residual risk assessment coefficient corresponding to each risk area is compared with the residual risk assessment coefficient interval corresponding to each residual risk level in the database. If the residual risk assessment coefficient corresponding to a risk area is within the residual risk assessment coefficient interval corresponding to a residual risk level in the database, the residual risk level in the database is used as the residual risk level corresponding to the risk area. In this way, the residual risk level corresponding to each risk area is analyzed.

[0065] In the embodiments of the present invention, by identifying and evaluating the risk level of each risk area, the enterprise can allocate production safety resources more reasonably, concentrate on solving problems in high-risk areas, and improve safety management efficiency. The standardized risk assessment process and clear risk level display help to improve employees' safety awareness and promote the construction of corporate safety culture. Through systematic analysis and evaluation of risks, the company's management can make more reasonable decisions based on data and improve the overall safety management level.

[0066] Embodiments of the present invention Figure 2 As shown, a residual risk assessment system for production safety risk zoning includes: an inherent risk coefficient acquisition module, an emergency preparedness assessment coefficient acquisition module, an operation risk coefficient acquisition module, a residual risk assessment coefficient acquisition module, a risk level analysis module and a database.

[0067] Inherent risk coefficient acquisition module: used to obtain the inherent risk data corresponding to each risk area in the target enterprise at the current moment. The inherent risk parameters include the number of dangerous process equipment, the number of hazardous sources, the density of personnel and the number of flammable and explosive substances, and then analyze and obtain the inherent risk coefficient corresponding to each risk area.

[0068] Emergency preparedness assessment coefficient acquisition module: used to obtain the emergency plan data corresponding to each risk area. The emergency plan data includes the number of risk events covered by the emergency plan, the ratio of emergency material inventory to demand, and the effectiveness score corresponding to each risk emergency plan, and then analyze and obtain the emergency preparedness assessment coefficient corresponding to each risk area.

[0069] Operation risk coefficient acquisition module: used to obtain the operation risk data corresponding to each risk area. The operation risk data includes the number of special operations, the risk index corresponding to each type of special operations and the weather risk index, so as to analyze and obtain the operation risk coefficient corresponding to each risk area, and according to the emergency preparedness assessment coefficient corresponding to each risk area, further analyze and obtain the control risk coefficient corresponding to each risk area.

[0070] Residual risk assessment coefficient acquisition module: used to analyze and obtain the residual risk assessment coefficient corresponding to each risk area based on the control risk coefficient and inherent risk coefficient corresponding to each risk area.

[0071] Risk level analysis module: used to analyze the residual risk level corresponding to each risk area according to the residual risk assessment coefficient corresponding to each risk area, and analyze the preventive measures corresponding to each risk area.

[0072] The present invention provides a residual risk assessment method and system for production safety risk zoning, which combines a comprehensive assessment model of static analysis and dynamic analysis, can more accurately reflect the risk level of risk zoning, and has better application effect. At the same time, this solution is divided into dynamic and static risk control assessment services. Static risk control outputs the original inherent risk, and dynamic risk control outputs the residual risk. In the application of the algorithm model, the level of residual risk is calculated, and risk control warnings and preventive measures are recommended. In this way, inherent risk control and risk control measures for residual risk are distinguished.

[0073] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A residual risk assessment method for production safety risk zoning, characterized in that: include: Step 1: Obtaining inherent risk coefficients: Obtain the inherent risk data corresponding to each risk area in the target enterprise at the current moment. The inherent risk parameters include the number of dangerous process equipment, the number of dangerous sources, the density of personnel, and the number of flammable and explosive substances, and then analyze and obtain the inherent risk coefficients corresponding to each risk area; The analysis obtains the inherent risk coefficient corresponding to each risk area. The specific analysis process is as follows: The number of dangerous process equipment, number of dangerous sources, density of personnel and number of flammable and explosive substances corresponding to each risk area are recorded as A g , B g , C g and D g , where g represents the number corresponding to each risk area, g = 1, 2...u, u is any integer greater than 2, substitute into the calculation formula The inherent risk coefficient γ corresponding to each risk area is obtained g , where A′, B′, C′, and D′ are the standard number of hazardous process equipment, the standard number of hazardous sources, the standard personnel density, and the standard number of flammable and explosive substances corresponding to the set risk area, respectively; ω1, ω2, ω3, and ω4 are the weight factors corresponding to the number of hazardous process equipment, the weight factor corresponding to the number of hazardous sources, the weight factor corresponding to the personnel density, and the weight factor corresponding to the number of flammable and explosive substances in the set risk area, respectively; Step 2: Obtaining the emergency preparedness assessment coefficient: Obtain the emergency plan data corresponding to each risk area. The emergency plan data includes the number of risk events covered by the emergency plan, the ratio of emergency material inventory to demand, and the effectiveness score of each risk emergency plan. Then, analyze and obtain the emergency preparedness assessment coefficient corresponding to each risk area. The analysis results in the emergency preparedness assessment coefficient corresponding to each risk area. The specific analysis process is as follows: The number of risk events covered by the emergency plan corresponding to each risk area, the ratio of emergency material inventory to demand, and the effectiveness score of each risk emergency plan are recorded as E g 、F g and Among them, g represents the number corresponding to each risk area, g = 1, 2...u, u is any integer greater than 2, h represents the number corresponding to each risk emergency plan, h = 1, 2...m, m is any integer greater than 2, substitute into the calculation formula The emergency preparedness assessment coefficient λ corresponding to each risk area is obtained g , where E′, F′, and G′ are the number of risk events covered by the standard emergency plan corresponding to the set risk area, the standard emergency material inventory and demand ratio, and the standard effectiveness score corresponding to the risk emergency plan, respectively; θ1, θ2, and θ3 are the weight factors corresponding to the number of risk events covered by the emergency plan in the set risk area, the weight factors corresponding to the emergency material inventory and demand ratio, and the weight factors corresponding to the effectiveness score of the risk emergency plan, respectively; Step 3: Obtaining the operation risk coefficient: Obtain the operation risk data corresponding to each risk area. The operation risk data includes the number of special operations, the risk index corresponding to each type of special operation, and the weather risk index, so as to analyze and obtain the operation risk coefficient corresponding to each risk area, and then analyze and obtain the control risk coefficient corresponding to each risk area according to the emergency preparedness assessment coefficient corresponding to each risk area; The analysis obtains the operation risk coefficient corresponding to each risk area. The specific analysis process is as follows: The number of special operations corresponding to each risk area, the risk index corresponding to each type of special operation, and the weather risk index are denoted as H g , and Among them, g represents the number corresponding to each risk area, g = 1, 2...u, u is any integer greater than 2, y represents the number corresponding to each type of special operation, y = 1, 2...n, n is any integer greater than 2, substitute into the calculation formula The operation risk coefficient π corresponding to each risk area is obtained g , where H′, R′, and K′ are the number of standard special operations corresponding to the set risk area, the standard risk index corresponding to each type of special operation, and each standard weather risk index, respectively. They are the weight factors corresponding to the number of special operations in the set risk area, the weight factors corresponding to the risk index of each type of special operation, and the weight factors corresponding to each weather risk index; The analysis obtains the control risk coefficient corresponding to each risk area. The specific analysis process is as follows: The operation risk coefficient and the emergency preparedness assessment coefficient corresponding to each risk area are calculated and summed to obtain the sum of the operation risk coefficient and the emergency preparedness assessment coefficient corresponding to each risk area, and the sum is recorded as the control risk coefficient corresponding to each risk area; Step 4: Obtaining the residual risk assessment coefficient: According to the control risk coefficient and inherent risk coefficient corresponding to each risk area, the residual risk assessment coefficient corresponding to each risk area is analyzed and obtained; Step 5: Risk level analysis: Based on the residual risk assessment coefficient corresponding to each risk area, analyze the residual risk level corresponding to each risk area, and analyze the preventive measures corresponding to each risk area.

2. A residual risk assessment method for production safety risk zoning according to claim 1, characterized in that: The specific acquisition process of obtaining the inherent risk data corresponding to each risk area in the target enterprise at the current moment is as follows: S1. Obtain a detailed list of all process equipment through the target enterprise's equipment management system or asset management system, and then obtain the number of hazardous process equipment corresponding to each risk area in the target enterprise; S2. The target enterprise uses high-definition cameras with image recognition technology to automatically detect and identify the existence of hazardous sources, generate real-time monitoring data, and automatically identify and record the number of hazardous sources corresponding to each risk area in the target enterprise; S3. Install smart sensors in each risk area of ​​the target enterprise to monitor the number of people in each risk area in real time, centralize the sensor data into a data platform, and calculate and display the density of people in each risk area in real time; S4. The target enterprise shall equip each flammable and explosive substance with an RFID tag, and use an RFID reader / writer to automatically read and record the quantity of the substance in each risk area, thereby obtaining the quantity of flammable and explosive substances corresponding to each risk area in the target enterprise.

3. A residual risk assessment method for production safety risk zoning according to claim 2, characterized in that: The analysis obtains the residual risk assessment coefficient corresponding to each risk area. The specific analysis process is as follows: The difference between the inherent risk coefficient and the control risk coefficient corresponding to each risk area is calculated to obtain the difference between the inherent risk coefficient and the control risk coefficient corresponding to each risk area, and the difference is recorded as the residual risk assessment coefficient corresponding to each risk area.

4. A residual risk assessment method for production safety risk zoning according to claim 3, characterized in that: The analysis of the residual risk level corresponding to each risk area is as follows: The residual risk assessment coefficient corresponding to each risk area is compared with the residual risk assessment coefficient interval corresponding to each residual risk level in the database. If the residual risk assessment coefficient corresponding to a risk area is within the residual risk assessment coefficient interval corresponding to a residual risk level in the database, the residual risk level in the database will be used as the residual risk level corresponding to the risk area. In this way, the residual risk level corresponding to each risk area is analyzed.

5. A residual risk assessment method for production safety risk zoning according to claim 4, characterized in that: The preventive measures corresponding to each risk area are analyzed, and the specific analysis process is as follows: The residual risk level corresponding to each risk area is compared with the residual risk level corresponding to each preventive measure in the database. If the residual risk level corresponding to a risk area is the same as the residual risk level corresponding to a preventive measure in the database, the preventive measure in the database will be used as the preventive measure corresponding to the risk area. In this way, the preventive measures corresponding to each risk area are analyzed.

6. A residual risk assessment system for production safety risk zones that implements the residual risk assessment method for production safety risk zones according to any one of claims 1 to 5, characterized in that: include: Inherent risk coefficient acquisition module: used to obtain the inherent risk data corresponding to each risk area in the target enterprise at the current moment. The inherent risk parameters include the number of dangerous process equipment, the number of dangerous sources, the density of personnel and the number of flammable and explosive substances, and then analyze and obtain the inherent risk coefficient corresponding to each risk area; Emergency preparedness assessment coefficient acquisition module: used to obtain the emergency plan data corresponding to each risk area. The emergency plan data includes the number of risk events covered by the emergency plan, the ratio of emergency material inventory to demand, and the effectiveness score of each risk emergency plan, and then analyze and obtain the emergency preparedness assessment coefficient corresponding to each risk area; Operation risk coefficient acquisition module: used to obtain the operation risk data corresponding to each risk area. The operation risk data includes the number of special operations, the risk index corresponding to each type of special operation, and the weather risk index, so as to analyze and obtain the operation risk coefficient corresponding to each risk area, and according to the emergency preparedness assessment coefficient corresponding to each risk area, further analyze and obtain the control risk coefficient corresponding to each risk area; Residual risk assessment coefficient acquisition module: used to analyze and obtain the residual risk assessment coefficient corresponding to each risk area based on the control risk coefficient and inherent risk coefficient corresponding to each risk area; Risk level analysis module: used to analyze the residual risk level corresponding to each risk area according to the residual risk assessment coefficient corresponding to each risk area, and analyze the preventive measures corresponding to each risk area.

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