Safety production integrated management and control system based on basic data service zone

Abstract

The application relates to a safety production integrated management and control system based on a basic data service zone, which comprises a basic framework layer, a computing and storage layer, a service layer and a display layer. The basic framework layer is built through a micro-service architecture and provides architecture support capability for the overall application system. The computing and storage layer comprises a data processing unit, a data storage unit and a data access unit. The data access unit adopts selenium and HttpClient to acquire data, the data storage unit selects a relational database, and the data processing unit adopts a timing task framework Quartz. The service layer is an application service layer and a business logic layer. The application service layer and the business logic layer develop a backend service through a micro-service framework SpringCloud and a Web application framework SpringBoot. The display layer adopts a front-end development framework of VUE and interacts with and displays to users through a visual interface. The application develops safety production integrated management and control digital operation services based on the basic data service zone and provides digital support for work team selection and breeding management.

Description

Technical Field

[0001] This application relates to the field of comprehensive management and control, specifically to a comprehensive management and control system for safe production based on a grassroots data service zone. Background Technology

[0002] The current safety risk management and supervision platform has shortcomings in terms of dynamic intelligent assessment and analysis of safety management, operation control, and the online evaluation and feedback of the operation team's capabilities, personnel quality, workload, violations, etc. Summary of the Invention

[0003] The purpose of this application is to provide a comprehensive safety production management and control system based on a grassroots data service zone, which carries out intelligent digital operation services for comprehensive safety production management and control, and provides intelligent digital support for the selection, training, management and utilization of work teams.

[0004] To achieve the above objectives, this application provides the following technical solution:

[0005] This application provides a comprehensive safety production management and control system based on a grassroots data service zone, including an infrastructure layer, a computing and storage layer, a service layer, and a presentation layer.

[0006] The infrastructure layer is built using a microservice architecture, providing architectural support capabilities for the overall application system.

[0007] The computing and storage layer includes a data processing unit, a data storage unit, and a data access unit. The data access unit uses Selenium and HttpClient to obtain data, the data storage unit selects a relational database, and the data processing unit uses the Quartz timed task framework.

[0008] The service layer consists of an application service layer and a business logic layer. The application service layer and the business logic layer develop backend services using the microservice framework Spring Cloud and the web application framework Spring Boot.

[0009] The presentation layer uses the Vue front-end development framework to interact with and display content to users through a visual interface.

[0010] The infrastructure layer transmits messages to the application service layer, provides a persistence mechanism for the business logic layer, and provides screen drawing components for the user interface. The infrastructure layer builds a knowledge base and an intelligent agent, calls the built-in Guangming big model, and realizes intelligent question answering, report generation, and intelligent knowledge base functions. The front-end rendering dialog box of the presentation layer calls the agent's sessionId and uniqueCode values ​​to conduct page dialogue functions.

[0011] The computing and storage layer provides database access, data sharing and exchange, and security services. It also provides development interfaces for use by the application service layer and business logic layer, data access interfaces for the application service layer to access database and file resources, data sharing and exchange interfaces, and various security services.

[0012] The application service layer orchestrates and integrates backend business service capabilities based on the frontend application interaction requirements, providing support for frontend interface interaction and display, and providing a unified external interface to complete the internal microservice call orchestration function. At the same time, it avoids frequent changes to the frontend interface layer caused by changes to the application service layer program. The business logic layer realizes the expression of domain business concepts, business status information and business rules based on the business requirements of the application service layer, avoiding too many fine-grained service calls and excessive interaction between the application service layer and the domain service layer, and provides a unified service interface to the outside world.

[0013] The data access unit acquires team information, personnel information, operation information, and violation information data, and stores them in the data storage unit. The data processing unit processes the basic data through a timed processing framework and obtains analytical data, which is then stored in the data storage unit.

[0014] The service layer's application functions are generally divided into six modules: risk warning, safety check, breeding control, comprehensive evaluation, work plan, and system management.

[0015] Risk warning: Focusing on "risk identification and control", it displays risk points that need attention in real time, including operation trends, historical violations, team risk warnings, operation risk alerts, weekly risk reports, and daily risk reports;

[0016] Safety Checkup: The platform combines basic safety management data with judgment algorithms to evaluate personnel quality, workload, safety penalties, and safety rewards from four aspects, including safety capability evaluation, unit selection, team information, personnel information, and change records.

[0017] Selection, training and management: This mainly assists various user units in cultivating good outsourcing teams and provides convenient ways and methods for various professions and user units to select, train and manage outsourcing units, including understanding and communication, violation exposure platform, process control, evaluation and application, comprehensive ranking, and business capacity.

[0018] Comprehensive Evaluation: An evaluation and scoring section is designed for each specialty. It combines the safety capability score with the evaluation dimensions of each specialty to form the comprehensive score of each outsourcing team in the specialty. Each specialty is scored separately and ranked independently, including evaluation scores, comprehensive ranking, progress ranking, and regression ranking.

[0019] Work plan: Display the work status and management status of each outsourced team by user unit, risk type, unit type, risk level, outsourced unit name, professional category, and time dimension. Supports one-click reporting of no violations on site, including work information, violation information, and no violation report;

[0020] System Management: For internal users such as Chengde Power Supply Company, and for management organizations at all levels, management is carried out in a hierarchical, regional and professional manner. Each user group is assigned different levels of specific permissions and provides customized functional applications with regional characteristics, including user management, menu management, role management and system logs.

[0021] Compared with the prior art, the beneficial effects of the present invention are:

[0022] The platform conducts dynamic safety assessments across multiple dimensions, including risk warning, safety inspection, selection and management, and comprehensive evaluation. It provides professional advice to various units on safety management, operational control, and personnel management, thereby improving overall work quality and safety levels. By extracting basic data from the safety management system and conducting in-depth data value mining and application, the platform utilizes self-developed evaluation algorithms and risk identification models to achieve functions such as risk identification, process control, and quantitative evaluation. This provides strong support for on-site management and results application. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a system block diagram of an embodiment of the present invention;

[0025] Figure 2 This is a functional architecture diagram of an embodiment of the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. It should be noted that similar reference numerals and letters in the following drawings indicate similar items; therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0027] The terms “comprising,” “including,” or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0028] The terms “first,” “second,” etc., are used only to distinguish one entity or operation from another, and should not be construed as indicating or implying relative importance, nor as requiring or implying any such actual relationship or order between these entities or operations.

[0029] like Figure 1 As shown in the figure, this application provides a comprehensive safety production management and control system based on a grassroots data service zone, including an infrastructure layer, a computing and storage layer, a service layer, and a presentation layer.

[0030] The infrastructure layer is built using a microservice architecture, providing architectural support capabilities for the overall application system.

[0031] The computing and storage layer includes a data processing unit, a data storage unit, and a data access unit. The data access unit uses Selenium and HttpClient to obtain data, the data storage unit selects a relational database, and the data processing unit uses the Quartz timed task framework.

[0032] The service layer consists of an application service layer and a business logic layer. The application service layer and the business logic layer develop backend services using the microservice framework Spring Cloud and the web application framework Spring Boot.

[0033] The presentation layer uses the Vue front-end development framework to interact with and display content to users through a visual interface.

[0034] The system's data primarily originates from a data platform. Basic data is obtained from the data platform's unified service, including data from the safety management system and economic and legal contracts. Based on the business requirements of this basic data, the system processes it into analytical data. The overall system deployment utilizes the platform's cloud resources. Data such as team information, personnel information, operational information, and violation information are acquired from external systems and stored in RDS storage. A scheduled processing framework then processes the basic data to obtain analytical data stored in the database. The backend services are developed using the microservice framework Spring Cloud and the web application framework Spring Boot. The frontend interacts with users through a visual interface, building a knowledge base and intelligent agent within the Jibei Artificial Intelligence Platform. It utilizes the built-in Guangming Big Data Model to implement three functions: intelligent question answering, etc. The frontend then renders a dialog box, using the agent's sessionId and uniqueCode values ​​for page dialogue functionality.

[0035] The infrastructure layer transmits messages to the application service layer, provides a persistence mechanism for the business logic layer, and provides screen drawing components for the user interface.

[0036] The computing and storage layer provides database access, data sharing and exchange, and security services. It also provides development interfaces for use by the application service layer and business logic layer, data access interfaces for the application service layer to access database and file resources, data sharing and exchange interfaces, and various security services.

[0037] Data storage

[0038] The structured non-real-time data mainly consists of internal power grid data and external data. External data mainly includes reports, indicators, and images, and is updated on demand. Internal data mainly includes daily plans and other data, and is updated in real time. The capacity is estimated as shown in the table below. The structured data is stored in the management information area through the RDS storage component using relational database storage technology.

[0039] To meet the overall needs of future system operation, we are now compiling and summarizing the number of newly added business records (items) each month, and the specific analysis is as follows:

[0040] Capacity planning table

[0041]

[0042] Estimation is performed separately for each data type, and the specific estimation parameter model is as follows:

[0043] Production database data: Stores basic data, business data, and other business data from business modules, requiring storage of 5 years of data.

[0044] The annual data capacity (GB) = number of new business records per month × size of a single record × 12 (months); where the size of a single record for basic data and business data is 1KB / record. Algorithm packages are estimated at 100MB / unit, image data at 2MB / record, and document data at 1MB / document. The estimated business volume is shown in the table below:

[0045] Business volume estimation

[0046]

[0047] To store five years of business data, the database storage space required is approximately 37.46GB. Based on the data storage distribution, the data storage range is shown in the table below:

[0048] Data storage range table

[0049]

[0050] The application service layer orchestrates and integrates backend business service capabilities based on the frontend application interaction requirements, providing support for frontend interface interaction and display, and providing a unified external interface to complete the internal microservice call orchestration function. At the same time, it avoids frequent changes to the frontend interface layer caused by changes to the application service layer program. The business logic layer realizes the expression of domain business concepts, business status information and business rules based on the business requirements of the application service layer, avoiding too many fine-grained service calls and excessive interaction between the application service layer and the domain service layer, and provides a unified service interface to the outside world.

[0051] The data access unit acquires team information, personnel information, operational information, and violation information, and stores them in the data storage unit. The data processing unit processes the basic data using a timed processing framework, and the resulting analytical data is also stored in the data storage unit. Team Collection: This refers to all teams (enterprises / organizations) participating in this round of calculations. Individual team: Company type: Statistical year: Y, four calendar years; if not specified, use the calendar year of yesterday. Statistical time window: That is, from January 1st, 00:00:00 to December 31st, 2023, 23:59:59, the assignment set is as follows: Team In the time window All tasks have been completed. Total number of teams in each batch: Team assembly From "in The initialization of "enterprises with job records in memory" is performed; those not listed are not included in the calculation.

[0052] The service layer's application functions are generally divided into six modules: risk warning, safety check, breeding control, comprehensive evaluation, work plan, and system management.

[0053] Risk warning: Focusing on "risk identification and control", it displays risk points that need attention in real time, including operation trends, historical violations, team risk warnings, operation risk alerts, weekly risk reports, and daily risk reports;

[0054] Safety Checkup: The platform combines basic safety management data with judgment algorithms to evaluate personnel quality, workload, safety penalties, and safety rewards from four aspects, including safety capability evaluation, unit selection, team information, personnel information, and change records.

[0055] Selection, training and management: This mainly assists various user units in cultivating good outsourcing teams and provides convenient ways and methods for various professions and user units to select, train and manage outsourcing units, including understanding and communication, violation exposure platform, process control, evaluation and application, comprehensive ranking, and business capacity.

[0056] Comprehensive Evaluation: An evaluation and scoring section is designed for each specialty. It combines the safety capability score with the evaluation dimensions of each specialty to form the comprehensive score of each outsourcing team in the specialty. Each specialty is scored separately and ranked independently, including evaluation scores, comprehensive ranking, progress ranking, and regression ranking.

[0057] Work plan: Display the work status and management status of each outsourced team by user unit, risk type, unit type, risk level, outsourced unit name, professional category, and time dimension. Supports one-click reporting of no violations on site, including work information, violation information, and no violation report;

[0058] System Management: For internal users and management organizations at all levels, management is hierarchical, regional, and professional. Each user group is assigned different levels of specific permissions, providing customized functional applications with regional characteristics, including user management, menu management, role management, and system logs.

[0059] In accordance with the "four controls" requirements for safe production, dynamic evaluation and online management are implemented for factors such as the operational capabilities of work teams, personnel quality, workload, and violations, thereby optimizing the intelligent and digital micro-applications for comprehensive safety production management. For example... Figure 2 As shown, the safety production integrated management and control system based on the grassroots data service zone of this application has the following functions:

[0060] Function 1: Safety Management Evaluation

[0061] This module focuses on optimizing and localizing the carrying capacity algorithm. It dynamically adjusts the algorithm model to match the unique management processes of Chengde, while simultaneously integrating frontline personnel job configuration data to establish a two-way evaluation mechanism linked to the risk control platform's work plan. Building upon the State Grid's latest safety management system construction plan's "top-down four-level risk assessment," a new "bottom-up" job configuration data feedback mechanism is added to improve the real-time performance and accuracy of carrying capacity assessment. Through localized algorithm adaptation, it strengthens support for the unique processes of Chengde, resolving compatibility issues between the State Grid's general solutions and regional management differences.

[0062] Function 2: Operation Control

[0063] This module focuses on monitoring the on-site execution of Level 3 and above operations, providing real-time statistics on the safety inspection coverage of each unit, and classifying and analyzing the root causes of typical violations such as the "Ten Don'ts," generating closed-loop rectification recommendations. In addition to the "Daily Plan Circuit Breaker and Tiered Approval" mechanism in the State Grid's latest safety management system construction plan, it adds a data analysis function for on-site inspections, strengthening process supervision and the ability to trace the source of violations. Through multi-dimensional statistics of violations (such as frequency, type, and responsible unit), it provides auxiliary decision-making basis for "plan execution early warning," improving the risk closed-loop management chain.

[0064] Function 3: Staff Team

[0065] The personnel module of the comprehensive safety production management and control digital micro-application provides selection and training criteria for municipal / county companies through standardized scoring (management standardization, operation standardization) and professional ranking mechanisms, supporting dynamic management based on merit and elimination. Building upon the State Grid's latest safety management and control system construction plan of "dual safety access" and "three types of personnel identification," it extends to the full lifecycle management of work teams, constructing a closed loop of "access-evaluation-optimization." Through professional ranking and capability profiling, it provides dynamic data on personnel capabilities for "capacity assessment," assisting in the precise allocation of operational resources.

[0066] Function 4: Security

[0067] The comprehensive safety management and control digital micro-application safety assurance module focuses on strengthening on-site safety management in accordance with the requirements of the "comprehensive safety" management system. Combining fire safety, traffic safety, and emergency power supply factors, it displays safety risk points that need attention in real time, prevents safety risks, strengthens safety management, continuously improves the "comprehensive safety" management system, ensures the company's safe production, and provides external environmental safety assessment references for work plan preparation.

[0068] Function 5: Indicator Evaluation

[0069] The evaluation module for the intelligent micro-application of comprehensive safety production management and control is designed with a dual-dimensional evaluation system of "comprehensive safety capability + professional independent score," generating professional rankings of work units and supporting resource allocation and targeted training. Based on the "penetrating assessment" of the State Grid's latest safety management and control system construction plan, a horizontal benchmarking function has been added to promote a competitive mechanism of "improvement through ranking." Through professional independent ranking data, a fine-grained evaluation dimension is added to the "carrying capacity assessment system," strengthening the application value of the assessment results.

[0070] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A comprehensive safety production management and control system based on a grassroots data service zone, characterized in that, It includes the infrastructure layer, computing and storage layer, service layer, and presentation layer. The infrastructure layer is built using a microservice architecture, providing architectural support capabilities for the overall application system. The computing and storage layer includes a data processing unit, a data storage unit, and a data access unit. The data access unit uses Selenium and HttpClient to obtain data, the data storage unit selects a relational database, and the data processing unit uses the Quartz timed task framework. The service layer consists of an application service layer and a business logic layer. The application service layer and the business logic layer develop backend services using the microservice framework Spring Cloud and the web application framework Spring Boot. The presentation layer uses the Vue front-end development framework to interact with and display content to users through a visual interface.

2. The comprehensive safety production management and control system based on a grassroots data service zone according to claim 1, characterized in that, The infrastructure layer transmits messages to the application service layer, provides a persistence mechanism for the business logic layer, and provides screen drawing components for the user interface. The infrastructure layer builds a knowledge base and an intelligent agent, calls the built-in Guangming big model, and realizes intelligent question answering, report generation, and intelligent knowledge base functions. The front-end rendering dialog box of the presentation layer calls the agent's sessionId and uniqueCode values ​​to conduct page dialogue functions.

3. A comprehensive safety production management and control system based on a grassroots data service zone according to claim 1, characterized in that, The computing and storage layer provides database access, data sharing and exchange, and security services. It also provides development interfaces for use by the application service layer and business logic layer, data access interfaces for the application service layer to access database and file resources, data sharing and exchange interfaces, and various security services.

4. A comprehensive safety production management and control system based on a grassroots data service zone as described in claim 1, characterized in that, The application service layer orchestrates and integrates backend business service capabilities based on the frontend application interaction requirements, providing support for frontend interface interaction and display, and providing a unified external interface to complete the internal microservice call orchestration function. At the same time, it avoids frequent changes to the frontend interface layer caused by changes to the application service layer program. The business logic layer realizes the expression of domain business concepts, business status information and business rules based on the business requirements of the application service layer, avoiding too many fine-grained service calls and excessive interaction between the application service layer and the domain service layer, and provides a unified service interface to the outside world.

5. A comprehensive safety production management and control system based on a grassroots data service zone according to claim 1, characterized in that, The data access unit acquires team information, personnel information, operation information, and violation information data, and stores them in the data storage unit. The data processing unit processes the basic data through a timed processing framework and obtains analytical data, which is then stored in the data storage unit.

6. A comprehensive safety production management and control system based on a grassroots data service zone according to claim 1, characterized in that, The service layer's application functions are divided into six modules: risk warning, safety check, breeding control, comprehensive evaluation, work plan, and system management. Risk warning: Focusing on "risk identification and control", it displays risk points that need attention in real time, including operation trends, historical violations, team risk warnings, operation risk alerts, weekly risk reports, and daily risk reports; Safety Checkup: The platform combines basic safety management data with judgment algorithms to evaluate personnel quality, workload, safety penalties, and safety rewards from four aspects, including safety capability evaluation, unit selection, team information, personnel information, and change records. Selection, training and management: Assisting various user units in cultivating good outsourcing teams, and providing convenient ways and methods for various professions and user units to select, train and manage outsourcing units, including understanding and communication, violation exposure platform, process control, evaluation and application, comprehensive ranking, and business capacity; Comprehensive Evaluation: An evaluation and scoring section is designed for each specialty. It combines the safety capability score with the evaluation dimensions of each specialty to form the comprehensive score of each outsourcing team in the specialty. Each specialty is scored separately and ranked independently, including evaluation scores, comprehensive ranking, progress ranking, and regression ranking. Work plan: Display the work status and management status of each outsourced team by user unit, risk type, unit type, risk level, outsourced unit name, professional category, and time dimension. Supports one-click reporting of no violations on site, including work information, violation information, and no violation report; System Management: For internal users and management organizations at all levels, management is hierarchical, regional, and professional. Each user group is assigned different levels of specific permissions, providing customized functional applications with regional characteristics, including user management, menu management, role management, and system logs.

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