Method and system for data construction of accident prevention service based on double prevention mechanism

Abstract

The application provides an accident prevention service data construction method and system based on a double prevention mechanism, which establishes an industry and field double prevention service related knowledge base through network crawling data, maintains a risk evaluation level and risk control level mapping relationship in a risk matrix template, imports an industry and field risk control hidden danger investigation list, forms an enterprise risk management basic knowledge base, formulates a risk grading control plan, allocates and implements a risk grading control task, formulates a hidden danger investigation and management plan, investigates hidden danger points in the plan, accepts hidden danger states after management, forms a Deming closed loop, displays safety risk and hidden danger information distribution according to geographical position, risk level and control level and other multi-dimensional conditions, and exchanges and shares double prevention service related risk assessment reports through a data gateway and other modes. The application solves the problems of high technical threshold, great supervision difficulty and difficult data construction of a risk knowledge base in existing production safety prevention service cooperation technology.

Description

Technical Field

[0001] This invention relates to the field of production safety accident prevention service technology, and in particular to a data-driven construction method and system for accident prevention services based on a dual prevention mechanism. Background Technology

[0002] Although the total number of work safety accidents and casualties, among other indicators, have declined in recent years, the situation regarding work safety for enterprises remains severe. Analysis of major and serious accidents reveals numerous problems stemming from human, management, and environmental factors. Therefore, exploring scientific, precise, reasonable, and effective management methods and mechanisms is essential. From the important statements on preventing and mitigating major risks and fundamentally eliminating accident hazards in work safety management, to the legal requirement in the new Work Safety Law to mandate the implementation of a "dual prevention mechanism" in high-risk industries, and the various policies proposed by regulatory authorities to strengthen the investigation and management of major safety risks, all these developments highlight the significant importance and mandatory requirements for enterprises and social forces to build a "dual prevention mechanism."

[0003] Currently, most of my country's existing socialized dual prevention services are targeted at a specific industry or region, or only applicable to specific enterprises. They are highly functionally specific, cater to a single user, and fail to integrate socialized accident prevention services from regulatory departments and insurance companies into the dual prevention information systems expected by monitoring departments or enterprises. This fails to meet the digital needs of a dual prevention mechanism led by production enterprises, with deep participation from third-party institutions, or with socialized safety liability insurance services. It also makes it difficult to form a virtuous cycle mechanism for the co-construction and sharing of accident prevention services required by the Production Safety Law or the dual prevention mechanism, and to establish a safety production risk data management platform for data sharing among multiple enterprises at the field or industry level. This increases the difficulty for regulatory departments or enterprises to conduct macro-control of production safety based on risk classification and control and hazard investigation and management data.

[0004] Due to the specificity of the field or the heterogeneity of industry safety production, the professionalism of implementing the dual prevention mechanism, the differences in enterprise safety production informatization, and the complexity of risk classification and control and hidden danger investigation and management involving all employees, the data-driven dual prevention service with multi-party collaborative participation requires configurable risk assessment matrices and risk classification and control levels, customizable form attributes for risk classification and control and hidden danger investigation and management implementation in the field, industry, or enterprise, customizable content of risk classification and control and hidden danger investigation and management work, built-in multiple hazard identification methods and corresponding safety risk assessment methods for static equipment and facilities and dynamic operations, support for cross-organizational multi-party collaborative desktop and mobile accident prevention service methods, dual prevention implementation report display functions for multiple institutions and multiple user roles, and a built-in industry and field accident prevention service risk knowledge base required for the implementation of the dual prevention mechanism. Only in this way can it support the data-driven management of various dual prevention standards, specifications, and guidelines formulated by regulatory authorities, so as to guide the data-driven implementation of personalized risk classification and control and hidden danger investigation and management work of enterprises in different fields and industries, and realize a new business model of safety production accident prevention services with social participation. Summary of the Invention

[0005] This invention provides a method and system for constructing accident prevention service data based on a dual prevention mechanism, in order to solve the problems of high technical threshold, great difficulty in supervision, and difficulty in constructing risk knowledge base data in existing production safety cross-departmental collaboration.

[0006] This invention provides a method for constructing data-driven accident prevention services based on a dual prevention mechanism, comprising:

[0007] Connect with national and local standards platforms, automatically collect relevant standards and specifications for dual prevention through web crawling technology, obtain risk classification and control lists, hidden danger investigation lists and various risk analysis form structures from the standards and specifications through natural language processing technology, construct form header configuration templates for risk classification and control and hidden danger investigation and management, and establish safety knowledge bases related to dual prevention services in various industries, fields and provinces and cities.

[0008] Maintain risk matrix templates for different risk assessment methods for safety production in industries or fields, provinces, cities, or enterprises, and establish a mapping relationship between their risk assessment levels and risk classification and control levels to support quantitative or semi-quantitative risk assessment and risk classification and control level determination for safety production risks in different fields, industries, or enterprises.

[0009] Import the risk classification and control and hidden danger investigation and management list required by the enterprise's industry or field and the province and city where it is located for dual prevention services, customize the enterprise-level dual prevention mechanism work form template, supplement the enterprise's basic safety production data required in the dual prevention standard guideline implementation form, and form an enterprise-level risk area, risk point, risk unit and related hidden danger investigation point enterprise safety production and risk management basic knowledge base;

[0010] Develop a risk classification and control plan project, import relevant dual prevention service content from the enterprise risk management basic knowledge base, customize project-level risk classification and control forms, supplement the actual production data required for the implementation of risk classification and control, arrange the personnel involved in the project implementation, and assign tasks to the project participants in accordance with the enterprise risk control process;

[0011] Identify the risk points and risk units discovered during the implementation of risk level control in the planned project, conduct risk assessment and risk classification according to the meaning of the risk matrix specified by the risk assessment method adopted by the project, fill in the control measures of the hazard source based on the control measures pushed by intelligent recommendation technology, and formulate the departments and responsible persons for actual implementation of risk control according to the enterprise control level.

[0012] In accordance with the enterprise's safety production management system, and based on the list of hidden dangers identified in the risk classification and control and the actual situation of the enterprise's safety risk management, a hidden danger investigation and rectification plan project is formulated, the personnel participating in the project are arranged, and the departments and responsible persons for implementing hidden danger rectification and management are determined in accordance with the enterprise's hidden danger investigation and rectification system.

[0013] For newly discovered hidden dangers in the process of investigation and management of planned projects, conduct hidden danger investigation, determine the remaining risk level and control level of the accident hazards, confirm the relevant departments and persons responsible for rectification of related hidden danger control measures, and conduct acceptance of the status of the hazard after management, thus forming a Deming closed loop;

[0014] Based on the work requirements of regulatory authorities, enterprise safety production, and third-party socialized accident prevention services, this document presents the distribution of enterprise production safety risks and their hidden dangers from multiple dimensions according to geographical location, risk level, and control level risk management needs. This includes the hazard sources associated with risk control, control measures, and the implementation of hazard elimination and management.

[0015] By comparing with industry or sector, provincial and municipal standards and specifications, the enterprise's dual prevention service safety knowledge base, risk classification and control implementation work records, and hidden danger investigation and management work records are visualized into accident prevention service data maps. In accordance with dual prevention compliance requirements or risk management work requirements, the risk classification and control and hidden danger investigation and management are statistically analyzed to form a dual prevention service work dashboard. Data related to dual prevention services are exchanged and shared through a data gateway to form a socialized safety risk assessment report.

[0016] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism is provided. The method involves connecting to national and local standards platforms and automatically collecting relevant standards and specifications for dual prevention through web scraping. Specifically, this includes:

[0017] The system crawls industry or local regulatory authorities' standards and specifications related to the dual prevention mechanism, uses natural language processing technology to extract the various form structures and contents required for the implementation of dual prevention in the standards and specifications, creates various form header templates related to the implementation of dual prevention, sets metadata for risk classification and control and hidden danger investigation and management forms, and establishes a safety knowledge base for dual prevention services related to industry or field, provincial or municipal local standards through document structuring and form content graphing technologies.

[0018] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism is provided. The method establishes a mapping relationship between risk assessment levels and risk classification control levels using risk matrix templates for different risk assessment methods used in maintenance industries or fields, provinces / municipalities, or enterprises for safe production. Specifically, this includes:

[0019] Maintain risk matrix templates required for different safety risk assessment methods in industries, fields, provinces, cities, or enterprises. Establish mapping relationships between risk assessment levels and risk classification and control levels of dual prevention mechanisms in these risk matrix templates according to risk classification and control requirements, so as to guide the automatic mapping between risk assessment levels and control levels in the implementation of risk classification and control and hazard elimination and management.

[0020] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism includes importing a list of risk classification and control and hazard investigation and management work required for dual prevention services in the enterprise's industry or field and the province or city where it is located, and customizing form templates required for the enterprise-level dual prevention mechanism work. Specifically, this includes:

[0021] In accordance with the requirements for enterprise safety production and dual prevention services, import the risk classification and control and hidden danger investigation and management list related to the enterprise's industry or field, province or city dual prevention services, customize the enterprise-level dual prevention mechanism work form structure, supplement the location of risk points and investigation points in the enterprise, responsible departments, responsible persons, and specific control measures, improve the enterprise safety production basic data required for the implementation of dual prevention, including risk management data such as risk assessment-related hazard factors and accident types, and form an enterprise-level risk area, risk point, risk unit and hidden danger investigation point related enterprise production safety risk management basic knowledge base.

[0022] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism is provided. The method involves developing a risk classification and control or hidden danger investigation and management plan project, importing relevant dual prevention service work content from the enterprise risk management basic knowledge base, customizing a project-level risk classification and control and hidden danger investigation and management form list, and supplementing the actual production data required for the implementation of risk classification and control or hidden danger investigation and management. Specifically, this includes:

[0023] In accordance with the enterprise's dual prevention mechanism, formulate risk classification and control or hidden danger investigation and management plans, arrange the project leaders and implementers, assign dual prevention implementation tasks to project participants in accordance with the enterprise's risk classification and control and hidden danger investigation process, and clarify the responsible persons, responsible departments and responsibilities of different control levels or hidden danger investigation processes.

[0024] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism is provided. This method involves identifying hazard sources for risk points or discovered risk points and risk units in planned projects; conducting risk assessment and risk classification according to the risk matrix meaning specified by the risk assessment method adopted by the project; filling in control measures for hazard sources based on control measures pushed by intelligent recommendation technology; and carrying out hazard elimination and management for identified hidden dangers according to the enterprise's control level. It also involves defining the departments and responsible persons for risk classification control and hazard elimination and management in the actual implementation plan. Specifically, this includes:

[0025] For the risk classification and control plan project, identify the risk points and risk units, conduct hazard source identification and risk assessment, use smart terminal equipment to obtain risk assessment evidence information, determine the risk assessment level and risk control level, fill in the control measures, and determine the responsibility and authority information of the responsible persons and departments for risk control, so as to carry out actual control of risks at different control levels;

[0026] The project involves investigating potential hazards and control measures for the hazard identification and mitigation plan, inspecting the mitigation of high-risk hazards, determining the remaining risk level and control level, identifying the responsible departments and personnel for the rectification of relevant hazard control measures, and inspecting the status of hazards after mitigation to form a Deming closed loop.

[0027] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism is provided. This method, based on the requirements of regulatory authorities, enterprise safety production, and third-party socialized accident prevention services, displays the distribution of enterprise production safety risks and potential hazards from multiple dimensions according to geographical location, risk level, and control level risk management needs. Specifically, it includes:

[0028] Based on geographical location, risk level, and control level risk management needs, the system displays the distribution of a company's safety production risks and potential hazards from multiple dimensions, including associated hazard sources, control measures, and hazard mitigation status. It also statistically analyzes risk classification control and hazard investigation and mitigation in accordance with dual prevention compliance requirements or risk management requirements, generating a dual prevention service analysis report. This report includes: gridding all risk points and risk units of the company; marking the grid risk level on the layout map using four colors—red, orange, yellow, and blue—to create a four-color safety risk distribution map; and exporting a safety analysis report including a risk assessment report and a risk prevention and control measure rectification plan.

[0029] According to the present invention, a data-driven construction method for accident prevention services based on a dual prevention mechanism is provided. This method exchanges and shares data related to dual prevention services through a data gateway to generate a socialized safety risk assessment report, specifically including:

[0030] By comparing with industry or sector, provincial and municipal standards and specifications, the enterprise's dual prevention service safety knowledge base, risk classification and control implementation work records, and hidden danger investigation and management work records are visualized into accident prevention service data maps. In accordance with dual prevention compliance requirements or risk management work requirements, the risk classification and control and hidden danger investigation and management are statistically analyzed to form a dual prevention service work dashboard. Data related to dual prevention services are exchanged and shared through a data gateway to form a socialized safety risk assessment report.

[0031] This invention also provides a data-driven construction system for accident prevention services based on a dual prevention mechanism, comprising:

[0032] The safety knowledge base module is used to connect with national and local standards platforms. It automatically collects relevant standards and specifications for dual prevention through web crawling technology, and obtains risk classification and control lists, hidden danger investigation lists and various risk analysis form structures from the standards and specifications through natural language processing technology. It constructs form header configuration templates for risk classification and control and hidden danger investigation and management, and establishes safety knowledge bases related to dual prevention services in various industries, fields and provinces and cities.

[0033] The risk assessment and rating module is used to maintain risk matrix templates for different risk assessment methods for safety production in industries or fields, provinces, cities, or enterprises, and to establish a mapping relationship between risk assessment levels and risk classification and control levels. This supports quantitative or semi-quantitative risk assessment of safety production risks in different fields, industries, or enterprises, as well as the rating of risk classification and control levels in the dual prevention mechanism.

[0034] The module for establishing an enterprise-level basic knowledge base is used to import the risk classification and control and hidden danger investigation and management list required by the enterprise's industry or field and the local dual prevention service in the province or city where it is located, customize the enterprise-level dual prevention mechanism work form template, supplement the enterprise's basic safety production data required in the dual prevention standard guideline implementation form, and form an enterprise-level risk area, risk point, risk unit and related hidden danger investigation point enterprise risk management basic knowledge base;

[0035] The planning and scheduling module is used to develop risk classification and control and hidden danger investigation and management plans. It imports relevant dual prevention service work content from the enterprise risk management basic knowledge base, customizes project-level risk classification and control forms and hidden danger investigation and management forms, supplements the actual safety production data required in the implementation of risk classification and control and hidden danger investigation and management, and schedules the personnel participating in the implementation of the planned projects, assigning tasks to the participants in the planned projects according to the enterprise risk control and hidden danger investigation and management process.

[0036] The risk classification and control module is used to identify the risk points or risk units discovered during the implementation of risk classification and control in the planned project, conduct risk assessment and risk classification according to the meaning of the risk matrix specified by the risk assessment method adopted by the project, fill in the control measures of the hazard source based on the control measures pushed by intelligent recommendation technology, and formulate the departments and responsible persons for the actual implementation of risk control according to the enterprise's control level.

[0037] The hazard identification and management module is used to identify potential hazards in planned projects or newly discovered hazards during the hazard identification and management process, determine the remaining risk level and control level of potential hazards, confirm the responsible departments and persons for rectification of relevant hazard control measures, and conduct acceptance of the hazard status after rectification to form a Deming closed loop.

[0038] The display module is used to display the distribution of enterprise production safety risks and hidden dangers in multiple dimensions according to the work requirements of regulatory authorities, enterprise safety production, and third-party socialized accident prevention services, based on geographical location, risk level, and control level risk management needs. This includes the hazard sources, control measures, and implementation status of hazard elimination and management related to risk control.

[0039] The safety risk assessment report module is used to quantify the enterprise's dual prevention service safety knowledge base, risk classification and control implementation records, and hazard investigation and management records against industry or field, provincial and municipal standards and specifications. It also performs statistical analysis on risk classification and control and hazard investigation and management in accordance with dual prevention compliance requirements or risk management requirements, forming a dual prevention service work dashboard. The module then exchanges and shares dual prevention service-related data through a data gateway to generate a socialized safety risk assessment report.

[0040] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the accident prevention service data construction method based on the dual prevention mechanism as described above.

[0041] This invention provides a data-driven construction method for accident prevention services based on a dual prevention mechanism. Through a configurable safety knowledge base and enterprise safety production basic data management, it achieves form template management required for the dual prevention mechanism at three levels: industry, enterprise, and project. It parses six form attributes involved in the risk control process—risk point attributes, risk unit attributes, hazard factor and accident attributes, safety evaluation attributes, control measure attributes, and control responsibility attributes—into form template configuration information, allowing for flexible calling and combination. Following standard specifications, a layered design method is used to construct the industry and enterprise dual prevention safety knowledge base, improving the professionalism of accident prevention services, ensuring the compliance of risk classification and control, reducing the difficulty for frontline employees, and breaking down the complex dual prevention service into eight modules. This enables data sharing among multiple organizations. Furthermore, through authorization control of different roles in socialized accident prevention services, the dual prevention implementation service tasks are configurable, addressing the personalized needs of socialized accident prevention services in various regions, industries, and enterprises. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0043] Figure 1 This is a flowchart illustrating a data-driven construction method for accident prevention services based on a dual prevention mechanism provided by the present invention.

[0044] Figure 2 This is a flowchart of the knowledge base maintenance process provided by the present invention;

[0045] Figure 3This is a flowchart of risk classification and control provided by the present invention;

[0046] Figure 4 This is a flowchart of the hidden danger investigation and management provided by the present invention.

[0047] Figure 5 The present invention provides a flowchart for the supervision and display of accident prevention services;

[0048] Figure 6 This is a schematic diagram of the module connection of an accident prevention service data construction system based on a dual prevention mechanism provided by the present invention;

[0049] Figure 7 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0050] Figure label:

[0051] 110: Safety Knowledge Base Establishment Module; 120: Risk Assessment and Classification Module; 130: Enterprise Internal Basic Knowledge Base Establishment Module; 140: Planning and Scheduling Module; 150: Risk Classification and Control Module; 160: Hazard Investigation and Management Module; 170: Display Module; 180: Safety Risk Assessment Report Module;

[0052] 710: Processor; 720: Communication interface; 730: Memory; 740: Communication bus. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0054] The following is combined with Figure 1 This invention describes a method for constructing data-driven accident prevention services based on a dual prevention mechanism, comprising:

[0055] S100 connects to national and local standards platforms, automatically collects relevant standards and specifications for dual prevention through web crawling technology, obtains risk classification and control lists, hidden danger investigation lists and various risk analysis form structures in the standards and specifications through natural language processing technology, constructs form header configuration templates for risk classification and control and hidden danger investigation and management, and establishes safety knowledge bases related to dual prevention services in various industries, fields and provinces and cities.

[0056] S200, maintain risk matrix templates for different risk assessment methods for safety production in industries or fields, provinces, cities, or enterprises, and establish a mapping relationship between risk assessment levels and risk classification and control levels to support quantitative or semi-quantitative risk assessment and risk classification and control level determination for safety production risks in different fields, industries, or enterprises.

[0057] S300: Import the risk classification and control and hidden danger investigation and management list required for the dual prevention service of the enterprise's industry or field and the province and city where it is located; customize the enterprise-level dual prevention mechanism work form template; supplement the enterprise's basic safety production data required in the dual prevention standard guideline implementation form; and form an enterprise-level risk area, risk point, risk unit and related hidden danger investigation point enterprise safety production and risk management basic knowledge base.

[0058] S400. Develop a risk classification and control plan project, import the relevant dual prevention service work content from the enterprise risk management basic knowledge base, customize project-level risk classification and control forms, supplement the actual production data required for the implementation of risk classification and control, arrange the personnel involved in the project implementation, and assign tasks to the project participants in accordance with the enterprise risk control process.

[0059] S500: Identify the risk points and risk units discovered during the implementation of risk control or risk classification in the planned project; conduct risk assessment and risk classification according to the meaning of the risk matrix specified in the risk assessment method adopted by the project; fill in the control measures for the hazard sources based on the control measures pushed by intelligent recommendation technology; and formulate the departments and responsible persons for the actual implementation of risk control according to the enterprise's control level.

[0060] S600. In accordance with the enterprise's safety production management system, and based on the list of hidden dangers identified in the risk classification and control and the actual situation of the enterprise's safety risk management, formulate a hidden danger investigation and management plan, arrange the personnel to participate in the project, and determine the departments and responsible persons to implement hidden danger rectification and management in accordance with the enterprise's hidden danger investigation and management system.

[0061] S700. Conduct hazard investigations on newly discovered hazard points or hidden danger points during the investigation and management of planned projects, determine the remaining risk level and control level of the accident hazards, confirm the relevant departments and persons responsible for rectification of related hazard control measures, and conduct acceptance of the hazard status after management to form a Deming closed loop.

[0062] S800, in accordance with the work requirements of regulatory authorities, enterprise safety production, and third-party socialized accident prevention dual prevention services, displays the distribution of enterprise production safety risks and their hidden dangers in multiple dimensions according to the risk management needs of geographical location, risk level, and control level, including the hazard sources, control measures, and implementation of hazard elimination and management related to risk control;

[0063] All risk points and their risk units of the enterprise are gridded, and the risk level of each grid is marked with four colors—red, orange, yellow, and blue—on the layout map to form a four-color distribution map of safety risks. The exported safety analysis report includes a risk assessment report and a risk prevention and control measure rectification plan.

[0064] S900, in accordance with industry or field, provincial and municipal local standards and specifications, visualizes the enterprise's dual prevention service safety knowledge base, risk classification and control implementation work records, and hidden danger investigation and management work records. Statistically analyze the risk classification and control and hidden danger investigation and management situation according to dual prevention compliance requirements or risk management work requirements, form a dual prevention service work dashboard, and exchange and share dual prevention service-related data through a data gateway to form a socialized safety risk assessment report.

[0065] The lack of a consistent business process system and unified standard specifications for dual prevention services has hindered the digitization of dual prevention service data suitable for social participation, posing a challenge to the accident prevention services expected by my country's work safety liability insurance. This invention addresses this issue by digitizing dual prevention services, including industry and local dual prevention standards and specifications, enterprise safety production and risk management knowledge, risk classification and control and hazard investigation and remediation implementation processes, data-driven intelligent reminders and recommendations, and instrumentation of accident prevention service progress. It parses all attributes involved in risk classification and control and hazard investigation and remediation processes into form template configuration information. Methods and devices for flexibly configuring form headers can be designed based on the business logic of various forms. By flexibly calling and combining various forms, it meets the work requirements of different service models and content. Furthermore, by constructing industry and enterprise dual prevention safety knowledge bases according to standards and specifications, it improves the professionalism of accident prevention services, ensures compliance of risk classification and control, reduces the difficulty of use for frontline employees, and enables multi-party data sharing of complex dual prevention service data, solving the personalized accident prevention service needs of different regions, industries, and enterprises.

[0066] 1) By constructing a data-driven accident prevention service based on a dual prevention mechanism, a safety knowledge base of standards and specifications involved in risk classification and control is established, which facilitates the reuse of basic data for dual prevention services in industry sectors or provinces and cities, and reduces the workload of filling out various forms in the implementation of dual prevention by enterprises.

[0067] 2) Enable the configurability of risk classification and control and hidden danger investigation and management services. The business processes and implementation content of risk classification and control and hidden danger investigation and management are configurable.

[0068] 3) Refine user roles according to the safety liability insurance service model to meet the dual prevention and participation needs of different user roles such as insured enterprises, insurance institutions, service institutions, and safety experts;

[0069] 4) It can monitor the accident prevention service status, risk classification history, and hidden danger management history of the service organization, monitor the enterprise's risk and hidden danger status and its changes, and timely control risks and manage hidden dangers to ensure production safety;

[0070] 5) Service organizations can organize risk classification and control and hidden danger investigation and management through projects based on the safety knowledge base and requirements issued by government organizations, and produce risk assessment reports for different roles in the project in a timely manner.

[0071] In one specific embodiment, it comprises five parts. The knowledge base management part is primarily responsible for building a knowledge base of standards related to dual prevention, connecting to the national standard platform, constructing form header configuration templates in the dual control workflow, enabling flexible form filling, providing metadata settings, and maintaining risk matrix templates for different risk assessments, including the mapping relationship between risk levels of different risk assessment methods and control levels of risk-based hierarchical management. The risk-based hierarchical management part is primarily responsible for formulating risk-based hierarchical management plans, importing or compiling a list of risks to be classified and managed and dividing them into units, compiling personnel participating in the plan, assigning tasks, granting corresponding permissions, identifying hazards in risk units, conducting risk assessments based on expert experience and the meaning of the risk matrix, determining risk levels and control levels, using intelligent recommendation technology to push recommended control measures to risk points and risk units of different industries and fields, with different risk levels and control levels, filling in control measures, determining responsible persons and responsible units, and conducting actual control of risks at different levels. The hidden danger investigation and management part is primarily responsible for… The responsibilities include: scheduling the frequency of inspections for existing hazard databases, assigning responsible departments, developing inspection plans based on actual conditions, compiling a list of personnel involved in the plan, assigning tasks and granting appropriate permissions, addressing high-level hazards identified during inspections, compiling a list of personnel involved in the remediation, granting appropriate permissions, defining relevant responsibilities, and verifying the post-remediation status of hazards to confirm responsibilities and form a Deming closed loop; the accident prevention service implementation supervision and monitoring section is mainly responsible for creating an enterprise safety production risk dashboard, displaying various risk assessments and their distribution for the service enterprise, generating risk density maps and hazard distribution maps, displaying the hazards and their distribution for the user enterprise, conducting statistical analysis, and generating professional safety production risk assessment reports; the system management section is mainly responsible for initializing the safety knowledge of data tools and configuring the basic accident service modes, maintaining user accounts, recovering erroneous data, viewing system logs, locking users with abnormal behavior, and ensuring the normal operation of the system.

[0072] like Figure 2As shown in the diagram, this is a flowchart of the knowledge base maintenance process. First, it connects to the national standards platform to capture and maintain the knowledge base of standards related to dual prevention. Then, it maintains the risk matrices required by different industries, fields, or enterprises. Next, it constructs form header configuration templates in the dual control workflow, providing metadata settings for personalized form filling required by the dual prevention mechanism.

[0073] like Figure 3 As shown in the diagram, this is a flowchart of risk classification and control. First, a risk classification and control plan is developed within the enterprise, importing or compiling risk points. Then, risk points are divided into risk units; personnel involved in the plan are identified, tasks are assigned, and appropriate permissions are granted. Next, hazard identification is performed on the risk units; risk assessments are conducted on the identified risk units to determine the risk level, control measures are reported, and responsibilities and authorities are assigned, including the responsible person and unit. Actual control is then implemented for risk sources of different levels. For the above risk assessment and control steps, different management personnel have different processing pages: safety administrators, hazard identifyrs, risk assessors, control measure reporters, and authority information recorders can only edit and modify information for their respective stages; safety administrators (full process) can edit and modify information for the entire process. This comprehensive role and permission allocation provides an adaptable risk classification and control implementation method for both large and small enterprises.

[0074] like Figure 4 As shown in the diagram, this is a flowchart for hazard identification and mitigation. The flowchart assigns inspection frequency and responsible departments to existing hazard databases, develops inspection plans based on actual conditions, identifies personnel involved in the plan, and grants them appropriate permissions. It then describes the mitigation of hazards identified during the inspection process, assigning corresponding permissions and defining responsibilities. Finally, it describes the acceptance process for hazard mitigation, assigning tasks and granting appropriate permissions to personnel involved in the acceptance, confirming responsibilities, and forming a Deming closed loop.

[0075] like Figure 5 As shown in the diagram, this is a flowchart illustrating the implementation and supervision of accident prevention services. The process includes generating a risk density map, displaying the risks and their distribution for the user enterprise; generating a hazard distribution map, displaying the hazards and their distribution for the user enterprise; and conducting statistical analysis to generate a professional safety production risk assessment report.

[0076] The dual prevention service datafication method proposed in this application, through the construction of a standard and standardized knowledge base, and guided by the two main functional processes of risk classification and control and hidden danger investigation and management, forms a guide for enterprise safety production situation analysis and dual prevention service datafication work. It solves the problem of insufficient risk management datafication capabilities in the current implementation of dual prevention mechanisms, and forms a unified risk data management platform for data sharing and exchange of dual prevention mechanism work among multiple institutions. It meets the needs of various participating roles such as government supervision, insurance business, social participation (third-party services), insured enterprises, and social supervision, as well as provincial, municipal and industry safety knowledge sharing. At the same time, enterprises can select or customize appropriate risk matrices, risk lists, risk points, risk units, risk classification and control records, hidden danger investigation records and other safety knowledge bases according to their dual prevention mechanism work needs, forming a dual prevention service data management platform for multi-party data sharing, which is applicable to the digitalization of dual prevention services in different regions and industries.

[0077] refer to Figure 6 The present invention also discloses a data-driven construction system for accident prevention services based on a dual prevention mechanism, comprising:

[0078] The safety knowledge base module 110 is used to connect with national and local standard platforms. It automatically collects relevant standards and specifications for dual prevention through web crawling technology, and obtains risk classification and control lists, hidden danger investigation lists and various risk analysis form structures from the standards and specifications through natural language processing technology. It constructs form header configuration templates for risk classification and control and hidden danger investigation and management, and establishes safety knowledge bases related to dual prevention services in various industries, fields and provinces and cities.

[0079] The Risk Assessment and Classification Module 120 is used to maintain risk matrix templates for different risk assessment methods for safety production in industries or fields, provinces, cities, or enterprises, and to establish a mapping relationship between risk assessment levels and risk classification and control levels. This supports quantitative or semi-quantitative risk assessment of safety production risks in different fields, industries, or enterprises, as well as the classification of risk classification and control levels in the dual prevention mechanism.

[0080] Module 130 for establishing an enterprise-level basic knowledge base is used to import the risk classification and control and hidden danger investigation and management list required for the dual prevention service of the enterprise's industry or field and the province or city where it is located, customize the enterprise-level dual prevention mechanism work form template, supplement the enterprise's basic safety production data required in the dual prevention standard guideline implementation form, and form an enterprise-level risk area, risk point, risk unit and related hidden danger investigation point enterprise risk management basic knowledge base;

[0081] The planning and scheduling module 140 is used to formulate risk classification and control and hidden danger investigation and management plans. It imports the relevant dual prevention service work content from the enterprise risk management basic knowledge base, customizes project-level risk classification and control forms and hidden danger investigation and management forms, supplements the actual safety production data required in the implementation of risk classification and control and hidden danger investigation and management, and schedules the personnel participating in the implementation of the planned projects, assigning tasks to the participants in the planned projects according to the enterprise risk control and hidden danger investigation and management process.

[0082] The risk classification and control module 150 is used to identify the risk points or risk units found during the implementation of risk classification and control in the planned project, conduct risk assessment and risk classification according to the meaning of the risk matrix specified by the risk assessment method adopted by the project, fill in the control measures of the hazard source based on the control measures pushed by intelligent recommendation technology, and formulate the departments and responsible persons for the actual implementation of risk control according to the enterprise's control level.

[0083] The Hazard Identification and Management Module 160 is used to identify potential hazards in planned projects or newly discovered hazards during the hazard identification and management process, determine the remaining risk level and control level of potential hazards, confirm the responsible departments and persons for rectification of relevant hazard control measures, and conduct acceptance of the hazard status after rectification to form a Deming closed loop.

[0084] The display module 170 is used to display the distribution of enterprise production safety risks and hidden dangers in multiple dimensions according to the work requirements of regulatory authorities, enterprise safety production and third-party socialized accident prevention services, based on geographical location, risk level and control level risk management needs. This includes the hazard sources, control measures and the implementation of hazard elimination and management related to risk control.

[0085] The Safety Risk Assessment Report Module 180 is used to compare the enterprise's dual prevention service safety knowledge base, risk classification and control implementation work records, and hidden danger investigation and management work records with industry or field, provincial and municipal local standards and specifications, and to visualize the accident prevention service data. According to the dual prevention compliance requirements or risk management work requirements, it performs statistical analysis on the risk classification and control and hidden danger investigation and management, forms a dual prevention service work dashboard, and exchanges and shares dual prevention service-related data through a data gateway to form a socialized safety risk assessment report.

[0086] This invention provides a data-driven accident prevention service system based on a dual prevention mechanism. Through a configurable safety knowledge base and enterprise safety production basic data management, it achieves form template management for the dual prevention mechanism at three levels: industry, enterprise, and project. It parses six form attributes involved in the risk control process—risk point attributes, risk unit attributes, hazard factor and accident attributes, safety evaluation attributes, control measure attributes, and control responsibility attributes—into form template configuration information, allowing for flexible combination and invocation. Following standard specifications, a layered design method is used to construct the industry and enterprise dual prevention safety knowledge base, improving the professionalism of accident prevention services, ensuring the compliance of risk classification and control, reducing the difficulty for frontline employees, and breaking down the complex dual prevention service into eight modules. This enables data sharing among multiple organizations. Furthermore, through authorization control of different roles in socialized accident prevention services, the dual prevention implementation service tasks are configurable, addressing the personalized needs of socialized accident prevention services in various regions, industries, and enterprises.

[0087] Figure 7 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 7 As shown, the electronic device may include a processor 710, a communications interface 720, a memory 730, and a communication bus 740. The processor 710, communications interface 720, and memory 730 communicate with each other via the communication bus 740. The processor 710 can call logical instructions from the memory 730 to execute a data-driven construction method for accident prevention services based on a dual-prevention mechanism.

[0088] Furthermore, the logical instructions in the aforementioned memory 730 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0089] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute a data-driven construction method for accident prevention services based on a dual prevention mechanism provided by the above methods.

[0090] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, is implemented to perform a data-driven construction method for accident prevention services based on a dual prevention mechanism provided by the methods described above.

[0091] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0092] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing data-driven accident prevention services based on a dual prevention mechanism, characterized in that, include: Connect with national and local standards platforms, automatically collect relevant standards and specifications for dual prevention through web crawling technology, obtain risk classification and control lists, hidden danger investigation lists and various risk analysis form structures from the standards and specifications through natural language processing technology, construct form header configuration templates for risk classification and control and hidden danger investigation and management, and establish safety knowledge bases related to dual prevention services in various industries, fields and provinces and cities. Maintain risk matrix templates for different risk assessment methods for safety production in industries or fields, provinces, cities, or enterprises, and establish a mapping relationship between their risk assessment levels and risk classification and control levels to support quantitative or semi-quantitative risk assessment and risk classification and control level determination for safety production risks in different fields, industries, or enterprises. Import the risk classification and control and hidden danger investigation and management list required by the enterprise's industry or field and the province and city where it is located for dual prevention services, customize the enterprise-level dual prevention mechanism work form template, supplement the enterprise's basic safety production data required in the dual prevention standard guideline implementation form, and form an enterprise-level risk area, risk point, risk unit and related hidden danger investigation point enterprise safety production and risk management basic knowledge base; Develop a risk classification and control plan project, import relevant dual prevention service content from the enterprise risk management basic knowledge base, customize project-level risk classification and control forms, supplement the actual production data required for the implementation of risk classification and control, arrange the personnel involved in the project implementation, and assign tasks to the project participants in accordance with the enterprise risk control process; Identify the risk points and risk units discovered during the implementation of risk level control in the planned project, conduct risk assessment and risk classification according to the meaning of the risk matrix specified by the risk assessment method adopted by the project, fill in the control measures of the hazard source based on the control measures pushed by intelligent recommendation technology, and formulate the departments and responsible persons for actual implementation of risk control according to the enterprise control level. In accordance with the enterprise's safety production management system, and based on the list of hidden dangers identified in the risk classification and control and the actual situation of the enterprise's safety risk management, a hidden danger investigation and rectification plan project is formulated, the personnel participating in the project are arranged, and the departments and responsible persons for implementing hidden danger rectification and management are determined in accordance with the enterprise's hidden danger investigation and rectification system. For newly discovered hidden dangers in the process of investigation and management of planned projects, conduct hidden danger investigation, determine the remaining risk level and control level of the accident hazards, confirm the relevant departments and persons responsible for rectification of related hidden danger control measures, and conduct acceptance of the status of the hazard after management, thus forming a Deming closed loop; Based on the work requirements of regulatory authorities, enterprise safety production, and third-party socialized accident prevention services, this document presents the distribution of enterprise production safety risks and their hidden dangers from multiple dimensions according to geographical location, risk level, and control level risk management needs. This includes the hazard sources associated with risk control, control measures, and the implementation of hazard elimination and management. By comparing with industry or sector, provincial and municipal standards and specifications, the enterprise's dual prevention service safety knowledge base, risk classification and control implementation work records, and hidden danger investigation and management work records are visualized into accident prevention service data maps. In accordance with dual prevention compliance requirements or risk management work requirements, the risk classification and control and hidden danger investigation and management are statistically analyzed to form a dual prevention service work dashboard. Data related to dual prevention services are exchanged and shared through a data gateway to form a socialized safety risk assessment report.

2. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, The aforementioned connection to national and local standards platforms involves automatically collecting relevant standards and specifications for dual prevention through web scraping, specifically including: The system crawls industry or local regulatory authorities' standards and specifications related to the dual prevention mechanism, uses natural language processing technology to extract the various form structures and contents required for the implementation of dual prevention in the standards and specifications, creates various form header templates related to the implementation of dual prevention, sets metadata for risk classification and control and hidden danger investigation and management forms, and establishes a safety knowledge base for dual prevention services related to industry or field, provincial or municipal local standards through document structuring and form content graphing technologies.

3. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, The risk matrix templates for different risk assessment methods used in the maintenance industry or field, province, city, or enterprise safety production establish a mapping relationship between their risk assessment levels and risk classification and control levels, specifically including: Maintain risk matrix templates required for different safety risk assessment methods in industries, fields, provinces, cities, or enterprises. Establish mapping relationships between risk assessment levels and risk classification and control levels of dual prevention mechanisms in these risk matrix templates according to risk classification and control requirements, so as to guide the automatic mapping between risk assessment levels and control levels in the implementation of risk classification and control and hazard elimination and management.

4. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, The document imports a list of risk classification and control and hidden danger investigation and management work required for the dual prevention service of the enterprise's industry or field and its province or city, and customizes the form templates required for the enterprise-level dual prevention mechanism, specifically including: In accordance with the requirements for enterprise safety production and dual prevention services, import the risk classification and control and hidden danger investigation and management list related to the enterprise's industry or field, province or city dual prevention services, customize the enterprise-level dual prevention mechanism work form structure, supplement the location of risk points and investigation points in the enterprise, responsible departments, responsible persons, and specific control measures, improve the enterprise safety production basic data required for the implementation of dual prevention, including risk management data such as risk assessment-related hazard factors and accident types, and form an enterprise-level risk area, risk point, risk unit and hidden danger investigation point related enterprise production safety risk management basic knowledge base.

5. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, The project to develop a risk classification and control or hidden danger investigation and management plan involves importing relevant dual prevention service content from the enterprise's basic risk management knowledge base, customizing a project-level risk classification and control and hidden danger investigation and management form list, and supplementing the actual production data required for the implementation of risk classification and control or hidden danger investigation and management. Specifically, this includes: In accordance with the enterprise's dual prevention mechanism, formulate risk classification and control or hidden danger investigation and management plans, arrange the project leaders and implementers, assign dual prevention implementation tasks to project participants in accordance with the enterprise's risk classification and control and hidden danger investigation process, and clarify the responsible persons, responsible departments and responsibilities of different control levels or hidden danger investigation processes.

6. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, The process involves identifying hazard sources for risk points or discovered risk points and risk units in the planned project; conducting risk assessment and risk classification according to the risk matrix definition specified in the risk assessment method adopted by the project; submitting control measures for hazard sources based on control measures pushed by intelligent recommendation technology; and eliminating and managing identified hidden dangers according to the enterprise's control level. It also involves defining the departments and responsible persons for risk classification control and hidden danger elimination and management in the actual implementation plan, specifically including: For the risk classification and control plan project, identify the risk points and risk units, conduct hazard source identification and risk assessment, use smart terminal equipment to obtain risk assessment evidence information, determine the risk assessment level and risk control level, fill in the control measures, and determine the responsibility and authority information of the responsible persons and departments for risk control, so as to carry out actual control of risks at different control levels; The project involves investigating potential hazards and control measures for the hazard identification and mitigation plan, inspecting the mitigation of high-risk hazards, determining the remaining risk level and control level, identifying the responsible departments and personnel for the rectification of relevant hazard control measures, and inspecting the status of hazards after mitigation to form a Deming closed loop.

7. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, Based on the requirements of the dual prevention services of regulatory authorities, enterprise safety production, and third-party socialized accident prevention, this document presents the distribution of enterprise production safety risks and potential hazards from multiple dimensions, according to geographical location, risk level, and control level risk management needs. Specifically, it includes: Based on geographical location, risk level, and control level, the system displays the distribution of enterprise risks and potential hazards from multiple dimensions to meet risk management needs. This includes associated hazard sources, control measures, and hazard mitigation status. In accordance with dual prevention compliance requirements or risk management requirements, the system statistically analyzes risk classification control and hazard investigation and mitigation, generating a dual prevention service analysis report. This report includes: gridding all enterprise risk points and their risk units; marking the grid risk levels on the layout map using four colors—red, orange, yellow, and blue—to create a four-color safety risk distribution map; and exporting a safety analysis report including a risk assessment report and a risk control and mitigation plan.

8. The method for constructing accident prevention service data based on a dual prevention mechanism according to claim 1, characterized in that, Data related to dual prevention services is exchanged and shared through a data gateway to generate a socialized security risk assessment report, which specifically includes: By comparing with industry or sector, provincial and municipal standards and specifications, the enterprise's dual prevention service safety knowledge base, risk classification and control implementation work records, and hidden danger investigation and management work records are visualized into accident prevention service data maps. In accordance with dual prevention compliance requirements or risk management work requirements, the risk classification and control and hidden danger investigation and management are statistically analyzed to form a dual prevention service work dashboard. Data related to dual prevention services are exchanged and shared through a data gateway to form a socialized safety risk assessment report.

9. A data-driven construction system for accident prevention services based on a dual prevention mechanism, characterized in that, include: The safety knowledge base module is used to connect with national and local standards platforms. It automatically collects relevant standards and specifications for dual prevention through web crawling technology, and obtains risk classification and control lists, hidden danger investigation lists and various risk analysis form structures from the standards and specifications through natural language processing technology. It constructs form header configuration templates for risk classification and control and hidden danger investigation and management, and establishes safety knowledge bases related to dual prevention services in various industries, fields and provinces and cities. The risk assessment and rating module is used to maintain risk matrix templates for different risk assessment methods for safety production in industries or fields, provinces, cities, or enterprises, and to establish a mapping relationship between risk assessment levels and risk classification and control levels. This supports quantitative or semi-quantitative risk assessment of safety production risks in different fields, industries, or enterprises, as well as the rating of risk classification and control levels in the dual prevention mechanism. The module for establishing an enterprise-level basic knowledge base is used to import the risk classification and control and hidden danger investigation and management list required by the enterprise's industry or field and the local dual prevention service in the province or city where it is located, customize the enterprise-level dual prevention mechanism work form template, supplement the enterprise's basic safety production data required in the dual prevention standard guideline implementation form, and form an enterprise-level risk area, risk point, risk unit and related hidden danger investigation point enterprise risk management basic knowledge base; The planning and scheduling module is used to develop risk classification and control and hidden danger investigation and management plans. It imports relevant dual prevention service work content from the enterprise risk management basic knowledge base, customizes project-level risk classification and control forms and hidden danger investigation and management forms, supplements the actual safety production data required in the implementation of risk classification and control and hidden danger investigation and management, and schedules the personnel involved in the project implementation, assigning tasks to the project participants according to the enterprise risk control and hidden danger investigation and management process. The risk classification and control module is used to identify the risk points or risk units discovered during the implementation of risk classification and control in the planned project, conduct risk assessment and risk classification according to the meaning of the risk matrix specified by the risk assessment method adopted by the project, fill in the control measures of the hazard source based on the control measures pushed by intelligent recommendation technology, and formulate the departments and responsible persons for the actual implementation of risk control according to the enterprise's control level. The hazard identification and management module is used to identify potential hazards in planned projects or newly discovered hazards during the hazard identification and management process, determine the remaining risk level and control level of potential hazards, confirm the responsible departments and persons for rectification of relevant hazard control measures, and conduct acceptance of the hazard status after rectification to form a Deming closed loop. The display module is used to display the distribution of enterprise production safety risks and hidden dangers in multiple dimensions according to the work requirements of regulatory authorities, enterprise safety production, and third-party socialized accident prevention services, based on geographical location, risk level, and control level risk management needs. This includes the hazard sources, control measures, and implementation status of hazard elimination and management related to risk control. The safety risk assessment report module is used to quantify the enterprise's dual prevention service safety knowledge base, risk classification and control implementation records, and hazard investigation and management records against industry or field, provincial and municipal standards and specifications. It also performs statistical analysis on risk classification and control and hazard investigation and management in accordance with dual prevention compliance requirements or risk management requirements, forming a dual prevention service work dashboard. The module then exchanges and shares dual prevention service-related data through a data gateway to generate a socialized safety risk assessment report.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the accident prevention service data construction method based on the dual prevention mechanism as described in any one of claims 1 to 8.

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