A tailing pond safety information management method based on a two-dimensional code access data platform

Abstract

The application discloses a tailing pond safety information management method based on a two-dimensional code access data platform, and comprises the following steps: constructing a tailing pond heterogeneous data warehouse; performing architecture design on the tailing pond heterogeneous data warehouse based on a data dynamic fusion technology and a heterogeneous data fusion technology, and constructing a three-dimensional dynamic information database; generating a corresponding two-dimensional code for each tailing pond and accessing the three-dimensional dynamic information database; receiving an access demand sent by a mobile terminal and sending the access demand to the three-dimensional dynamic information database for verification; and when the verification is passed, displaying specific tailing pond safety information. The method solves the problems of low information processing efficiency caused by a large amount of tailing pond safety information and inconvenience in real-time viewing of safety information of each tailing pond.

Description

Technical Field

[0001] This invention relates to the field of information management and information systems, and in particular to a method for managing safety information of tailings ponds based on a QR code-accessed data platform. Background Technology

[0002] Typically, a small tailings dam is equipped with more than 30 types of sensors, and each device collects data at intervals ranging from one minute to one hour, which results in the generation of a large amount of data.

[0003] Currently, these tailings ponds generate massive amounts of data during operation. How to store and manage this data in a way that is easily accessible to tailings pond company staff and safety supervisors at different levels is a question worthy of serious study.

[0004] Therefore, research on how to construct a big data warehouse for macro-level early warning and forecasting of tailings dam disasters and how to establish a unified information resource exchange platform plays a crucial role in optimizing mine informatization and the overall management of tailings dams nationwide. Summary of the Invention

[0005] This invention aims to at least partially solve one of the technical problems in the aforementioned technologies. Therefore, the purpose of this invention is to propose a tailings dam safety information management method based on a QR code-accessed data platform, aiming to solve the problems of low information processing efficiency caused by the massive amount of tailings dam safety information data and the inconvenience of real-time viewing of safety information for each tailings dam.

[0006] To achieve the above objectives, this invention proposes a tailings dam safety information management method based on a QR code-accessed data platform, characterized by comprising: Construct a heterogeneous data warehouse for tailings ponds; Based on data dynamic fusion technology and heterogeneous data fusion technology, an architecture design is carried out for the heterogeneous data warehouse of tailings dam, and a three-dimensional dynamic information database is constructed. A corresponding QR code is generated for each tailings pond and connected to a three-dimensional dynamic information database; It receives access requests from mobile terminals and sends them to a 3D dynamic information database for verification. When the verification is successful, it displays specific tailings dam safety information.

[0007] According to some embodiments of the present invention, the construction of a heterogeneous data warehouse for tailings ponds includes: technical architecture design, data architecture design, physical deployment architecture design, and information data resource architecture design; The technical architecture design includes: data acquisition, data processing layer, data storage layer, data acquisition layer, data access layer, analysis and presentation layer, service framework, data service, service configuration and system management; The data architecture design includes: data source design and data storage distribution design; The physical deployment architecture is designed to be deployed in a distributed manner, including: in-memory computing cluster, management and scheduling cluster, and load balancing cluster; The information data resource architecture design includes: data publishing, data processing, data storage, data business view, and data model.

[0008] According to some embodiments of the present invention, an architecture design is performed on a heterogeneous data warehouse for tailings ponds based on dynamic data fusion technology and heterogeneous data fusion technology to construct a three-dimensional dynamic information database, including: Based on the method of combining ETL tools and SQL, multi-source heterogeneous data processing is performed on data with inconsistent structure and type in the heterogeneous data warehouse of tailings ponds to obtain fused data after the fusion of multiple types of data. A three-dimensional dynamic information database is constructed based on the fused data; The multi-source heterogeneous data processing includes data extraction and data cleaning and transformation; The various types of data include basic tailings dam data, dynamic sensing data, emergency resource data, 3D oblique photography data, geological disaster data, meteorological data, and high-precision satellite remote sensing data.

[0009] According to some embodiments of the present invention, it further includes: constructing a unified tailings dam information resource exchange platform based on the three-dimensional dynamic information database; The method for constructing a unified information resource exchange platform includes: Integrate and organize the spatial and attribute data of the mine, tailings dam and its surrounding environment in the three-dimensional dynamic information database, and construct a three-dimensional GIS system for tailings dam; The accident risk-related data of enterprises in the three-dimensional dynamic information database are correlated and analyzed to construct a tailings dam accident risk simulation analysis system. Acquire production, safety monitoring data and meteorological environmental data of the tailings dam and its surrounding environment from the three-dimensional dynamic information database, and construct a comprehensive analysis model of tailings dam monitoring data and safety indicators; Based on the aforementioned 3D GIS system for tailings ponds, tailings pond accident risk simulation analysis system, and comprehensive analysis model of tailings pond monitoring data and safety indicators, a unified tailings pond information resource exchange platform is constructed.

[0010] According to some embodiments of the present invention, a corresponding QR code is generated for each tailings pond, including: Obtain the parameter information and URL data of each tailings pond in the tailings pond information resource exchange platform, and get the corresponding link address; Based on the link address, a corresponding tailings dam identification code is generated; Based on the tailings dam identification code, a corresponding QR code is generated.

[0011] According to some embodiments of the present invention, an access request sent by a mobile terminal is received and sent to a three-dimensional dynamic information database for verification. Upon successful verification, specific tailings dam safety information is displayed, including: The system receives access requests from mobile terminals and sends them to a tailings dam information resource exchange platform built on a three-dimensional dynamic information database. This platform includes a comprehensive analysis model of tailings dam monitoring data and safety indicators. Identity verification is performed at the unified entry point of the comprehensive analysis model of tailings dam monitoring data and safety indicators. The verification methods include: account password verification and enterprise WeChat account verification. Once the verification is successful, the corresponding control permissions are granted to the mobile terminal; Based on the aforementioned control permissions, the mobile terminal displays specific tailings dam safety information.

[0012] According to some embodiments of the present invention, the mobile terminal includes a large monitoring screen, a desktop computer, and a smartphone; The mobile terminal can scan the QR code to access the corresponding WeChat mini-program and view specific tailings dam safety information in real time.

[0013] According to some embodiments of the present invention, the display of specific tailings dam safety information includes: display of basic information of the tailings dam, display of external information of the tailings dam, display of tailings dam risk analysis, and display of tailings dam emergency resource information; The basic information display of the tailings dam includes the display of basic information about the tailings dam, an overview of monitoring and early warning, tailings dam design information, and the main attributes of the tailings dam. The external information display of the tailings dam includes the display of surrounding environmental information, geological disaster information, and meteorological information; The tailings dam risk analysis display includes details of the risks, the risk status of different systems in the tailings dam, the risk ratio and risk distribution ranking, the real-time early warning status of the day, and a recent early warning frequency curve. The tailings dam emergency resource information display includes the display of emergency rescue forces and their geographical locations around the tailings dam, emergency equipment and supplies, information on surrounding sensitive targets and emergency shelters.

[0014] According to some embodiments of the present invention, the tailings dam information resource exchange platform is used for data sharing with other terminal devices, including: The tailings dam information resource exchange platform receives data sharing requests from nodes and determines the identifier of the node that issued the sharing request; one node corresponds to one terminal device; The data sharing request is parsed to obtain the parsing result; the parsing result includes information about the multiple sharing nodes to be shared, the data type of the request, and the data source information; Based on the node's identifier and resolution results, determine the target's access permissions; Obtain the target sharing node; Based on the target sharing node, a shared master chain is constructed, and the central node of the shared master chain is obtained; based on the request data type and data source information, the target shared data is matched and obtained; the target shared data is transmitted to each target sharing node in the shared master chain based on the central node.

[0015] According to some embodiments of the present invention, before displaying the emergency rescue forces and their geographical locations around the tailings dam, the method includes marking the emergency rescue forces and their geographical locations around the tailings dam. Images of the area surrounding the tailings dam from multiple preset viewpoints are acquired as several target images; image enhancement processing is performed on the target images to obtain enhanced images; Feature extraction is performed on the enhanced image to obtain several corresponding partial features; Based on the aforementioned features and a preset recognition model, the category information and location data of the emergency rescue forces surrounding the tailings dam included in the enhanced image are identified. The first annotation box is obtained by labeling the emergency rescue forces around the tailings dam based on their category information and location data; the first annotation box is a rectangle. By constructing a search box and correcting the first annotation box, a second annotation box is obtained; Determine the display requirements, and display the second annotation box based on the display requirements.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a method according to an embodiment of the present invention; Figure 2This is a technical architecture design diagram of a heterogeneous data warehouse for tailings ponds according to an embodiment of the present invention; Figure 3 This is a data architecture design diagram of a heterogeneous data warehouse for tailings ponds according to an embodiment of the present invention; Figure 4 This is a physical deployment architecture design diagram of a heterogeneous data warehouse for tailings ponds according to an embodiment of the present invention. Figure 5 This is an information data resource architecture design diagram of a heterogeneous data warehouse for tailings ponds according to an embodiment of the present invention; Figure 6 This is a flowchart of multi-source heterogeneous data processing according to an embodiment of the present invention; Figure 7 This is a diagram illustrating the basic situation of tailings dam safety production monitoring on a tailings dam information resource exchange platform according to an embodiment of the present invention. Figure 8 , 9 This is a diagram showing emergency resource information of tailings ponds on a tailings pond information resource exchange platform according to an embodiment of the present invention; Figure 10 , 11 This is a diagram illustrating the risk analysis of tailings ponds on a tailings pond information resource exchange platform according to an embodiment of the present invention. Detailed Implementation

[0019] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0020] like Figure 1 As shown in the figure, this invention proposes a tailings dam safety information management method based on a QR code access data platform, characterized by comprising: Construct a heterogeneous data warehouse for tailings ponds; Based on data dynamic fusion technology and heterogeneous data fusion technology, an architecture design is carried out for the heterogeneous data warehouse of tailings dam, and a three-dimensional dynamic information database is constructed. A corresponding QR code is generated for each tailings pond and connected to a three-dimensional dynamic information database; It receives access requests from mobile terminals and sends them to a 3D dynamic information database for verification. When the verification is successful, it displays specific tailings dam safety information.

[0021] The working principle of the above technical solution is: to construct a heterogeneous data warehouse for tailings ponds; to facilitate centralized storage and processing of various types of tailings pond data; Based on dynamic data fusion technology and heterogeneous data fusion technology, an architecture design is carried out for a heterogeneous data warehouse of tailings ponds, and a three-dimensional dynamic information database is constructed. This facilitates the management of three-dimensional spatial data, risk analysis of tailings ponds, and querying and retrieving of various tailings pond data. A corresponding QR code is generated for each tailings dam and connected to a 3D dynamic information database; access requests sent by mobile terminals are received and sent to the 3D dynamic information database for verification. When the verification is successful, the safety information of the specific tailings dam is displayed; it is convenient to establish information linkage between the QR code and the 3D dynamic information database, and to view the safety information of the specific tailings dam on the mobile terminal with ease.

[0022] The beneficial effects of the above technical solution are as follows: By constructing a heterogeneous data warehouse for tailings ponds, it is convenient to centrally store, analyze, aggregate, and deploy business functions hierarchically for tailings pond data, expanding the scope and categories of information collection for tailings ponds and mining enterprises, and improving the efficiency of integrating relevant production, safety monitoring, and meteorological environmental data of mines, tailings ponds, and surrounding areas; by constructing a three-dimensional dynamic information database, it is convenient to manage three-dimensional spatial data, conduct risk analysis of tailings ponds, and query and retrieve various types of tailings pond data; by generating a QR code corresponding to each tailings pond, it is convenient to establish information linkage with the three-dimensional dynamic information database by recognizing the QR code, enabling easy and convenient viewing of specific tailings pond safety information on mobile terminals, and improving the monitoring, supervision, enforcement, and emergency response capabilities for tailings pond safety information management.

[0023] like Figure 2-5 As shown, according to some embodiments of the present invention, the construction of a heterogeneous data warehouse for tailings ponds includes: technical architecture design, data architecture design, physical deployment architecture design, and information data resource architecture design; The technical architecture design includes: data acquisition, data processing layer, data storage layer, data acquisition layer, data access layer, analysis and presentation layer, service framework, data service, service configuration and system management; The data architecture design includes: data source design and data storage distribution design; The physical deployment architecture is designed to be deployed in a distributed manner, including: in-memory computing cluster, management and scheduling cluster, and load balancing cluster; The information data resource architecture design includes: data publishing, data processing, data storage, data business view, and data model.

[0024] The working principle of the above technical solution is as follows: The technical architecture design includes: data acquisition, data processing layer, data storage layer, data acquisition layer, data access layer, analysis and presentation layer, service framework, data service, service configuration and system management; it mainly adopts a B / S architecture design. The front-end WEB framework is developed using the JAVA language and uses multiple components, including the report visualization component Echar, the GIS map display component, and the data transmission component ESB; the back-end adopts the Hadoop distributed framework, introducing distributed computing technology, including offline computing and near real-time computing. Data storage mainly uses Hive (distributed database), HBase (distributed database) to store detailed data, and MongoDB document-oriented database to store summarized data. By introducing Spark (in-memory computing) technology, the computing efficiency can be quickly improved. The Hadoop (distributed system infrastructure framework) cluster can solve the problem of future monitoring data growth and can be horizontally scaled based on this framework; Data acquisition includes database acquisition (DBLink, Sqoop), file acquisition (Flume), and customized tools (SDK); the data source types include: traditional databases, message queues, file systems, and websites; it connects to data sources through data service components such as JDBC and Web protocols, providing access to multi-source heterogeneous data; and it introduces two data extraction tools, Sqoop and Kettle. The Sqoop open-source component mainly solves the data extraction work of traditional databases, while the Kettle open-source component provides a visual configuration tool, mainly to extract unstructured data to the data center through configuration, and accesses business data including the group and its subordinate units; In the data processing layer, massive amounts of data are processed. Distributed processing is performed based on Hadoop (a distributed system infrastructure framework) big data technology, including: HDFS (distributed file system), SQL (structured query language), Hive (distributed database), HBase (distributed database), Redis (distributed in-memory database), ElasticSearch (distributed index), MapReduce (offline computing), Storm (real-time computing), and Spark (in-memory computing). The data storage layer includes three layers: ODS, data warehouse (DW), and data mart (DM). The ODS layer stores detailed data of the monitoring data, which is generally the raw data without processing. The domain division of the monitoring data stored in this layer is based on the different levels in the preset mining enterprise-level data model domain. A data warehouse is used to store historical data; Data marts are data products that are integrated and processed based on various data models. They can directly support the needs of various application scenarios of mine tailings ponds. The data warehouse contains a data model, which is composed of data calculated from various aggregated and derived indicators. According to the application characteristics, the data warehouse can be divided into three categories: multidimensional analysis data mart, data mining / prediction data mart, and personalized demand data mart, which can meet the needs of mining enterprises across the country for personalized processing of tailings dam safety information.

[0025] The data acquisition layer is used to collect heterogeneous data monitored by various tailings ponds and load the data through the ETL process. The business data of various departments of the mining enterprise are also constrained according to the data interface specifications. The data access layer includes ORM (Object-Relational Mapping), Beans (Entities), DAOs (Data Access Objects), and transaction management; it provides a unified entry point for data access through data access objects; and the implementation of data access can be extended and customized to meet the data access needs of business applications; it is used for real-time querying, data query statistics, data mining models, and batch data extraction. The analysis and presentation layer includes BIEE, R language analysis, data mining, data publishing and display, self-service analysis, statistical analysis, and predictive optimization; it is used to receive calls from data services and data processing components, and organize data based on business models and business rules according to the requests from the analysis and presentation layer. The service framework includes metadata configuration, knowledge base management components, workflow engine, online analytics engine, and monitoring service components, which provide various API calls; Data services, including panoramic display, operational analysis, comprehensive monitoring, and coordinated control, are provided as service components for monitoring tailings ponds in mines. The panoramic display includes operational status display and innovative achievement display; the operational analysis includes production performance analysis, production indicator analysis, and production process analysis; the comprehensive monitoring includes production indicator monitoring, management process monitoring, key process detection, operational status monitoring, and resource monitoring; and the coordinated control includes routine coordinated control and special coordinated control. Service configuration includes data source configuration, data collection task configuration, computation task configuration, monitoring service configuration, and cluster service configuration; it is used to utilize dynamic technologies to load data from each layer online and provide data visualization service configuration functions, such as configuring scheduled data collection tasks. System management, including task management, access control, security management, log management, configuration management, and system disaster recovery, is used to achieve comprehensive management of tailings dam monitoring. In summary, the data flow of the tailings dam safety information is as follows: After the data acquisition collects the tailings dam safety information, it enters the data processing stage. Through data processing, a large amount of tailings dam safety information is cleaned, transformed, and stored. The stored tailings dam safety information can be accessed through the data access layer. The analysis and presentation layer can perform self-service analysis, statistical analysis, data mining, prediction and optimization, etc. on the tailings dam safety information. The data service layer can provide a panoramic display, operational analysis and comprehensive monitoring of the data analyzed by the analysis and presentation layer. The data architecture design includes: data source design and data storage distribution design; the data source design includes enterprise asset management system, financial management system, GIS system, near real-time platform and unified map and file management; it is used to perform data source analysis on each data source system based on a complete set of standard processes and specific steps. The data source analysis process is for the project team to formulate work plans and carry out work, and relevant business departments and technical departments are responsible for providing information references, cooperating to ensure the smooth progress of work and ensuring the accuracy of analysis results. The data storage distribution design, based on the data storage framework, divides data storage into four logical layers of data models; based on the data application of monitoring data from each tailings dam, it is divided into thematic domains: indicator monitoring, management process, workflow monitoring, routine coordination, and special coordination; monitoring data is stored based on these thematic domains to facilitate analysis and access of the monitoring data in applications; The physical deployment architecture is designed for distributed deployment, including: in-memory computing clusters, management and scheduling clusters, and load balancing clusters; this facilitates distributed data processing. The information data resource architecture design includes: data publishing, data processing, data storage, data business view and data model. The information data resource architecture collects data obtained during the processing of five types of business: safety supervision, enterprise reporting, online monitoring, decision support, and business services. This facilitates comprehensive coverage of tailings dam safety information data collection and processing, thereby enabling the provision of information data resource catalog services, retrieval services, sharing and exchange services, and big data analysis services.

[0026] The beneficial effects of the above technical solution are as follows: By designing the technical architecture, data architecture, physical deployment architecture, and information data resource architecture, a heterogeneous data warehouse for tailings ponds is constructed, which facilitates the distributed storage and processing of tailings pond safety information and improves data processing efficiency and data security when the data volume is very large.

[0027] like Figure 6 As shown, according to some embodiments of the present invention, an architecture design is carried out for a heterogeneous data warehouse of tailings ponds based on dynamic data fusion technology and heterogeneous data fusion technology, and a three-dimensional dynamic information database is constructed, including: Based on the method of combining ETL tools and SQL, multi-source heterogeneous data processing is performed on data with inconsistent structure and type in the heterogeneous data warehouse of tailings ponds to obtain fused data after the fusion of multiple types of data. A three-dimensional dynamic information database is constructed based on the fused data; The multi-source heterogeneous data processing includes data extraction and data cleaning and transformation; The various types of data include basic tailings dam data, dynamic sensing data, emergency resource data, 3D oblique photography data, geological disaster data, meteorological data, and high-precision satellite remote sensing data.

[0028] The working principle of the above technical solution is as follows: Based on the method of combining ETL tools and SQL, multi-source heterogeneous data processing is performed on data with inconsistent structures and types in the heterogeneous data warehouse of tailings ponds to obtain fused data after the fusion of multiple types of data; the ETL (Extract-Transform-Load, is the process of extracting, cleaning and transforming data from the business system and loading it into the data warehouse) merges multiple types of data, which facilitates the unified storage and processing of data with inconsistent structures and types; A three-dimensional dynamic information database is constructed based on the fused data; this facilitates the management of three-dimensional spatial data, risk analysis of tailings ponds, and querying and retrieving data on various types of tailings ponds. The multi-source heterogeneous data processing includes data extraction and data cleaning and transformation. Data extraction includes two methods: extraction for the same data source and extraction for different data sources. For the same data source, a direct link can be established between the DW database server and the original business system using the database connection function provided by the DBMS (SQL Server, Oracle), allowing direct access via SELECT statements. For different data sources, a database connection is established via ODBC. If a database connection cannot be established, two methods can be used: one is to export the source data as .txt or .xls files using a tool and then import these source system files into the ODS; the other method is to complete the process through a program interface. In data extraction, for incremental data updates, the business system records the time when the business occurs. We can use this time as an incremental flag. Before each extraction, we first determine the maximum time recorded in the ODS, and then extract all records with a time greater than this time from the business system. In the data cleaning and transformation process, data cleaning is used to filter out data that does not meet the requirements. The filtering results are then given to the business department, which confirms whether the data should be filtered out or corrected by the business unit before extraction. The data that does not meet the requirements refers to incomplete data, erroneous data, and duplicate data. Data transformation is performed by converting data with inconsistent structures and types, converting data granularity, and based on certain business rules. The various types of data include basic tailings dam data, dynamic sensing data, emergency resource data, 3D oblique photography data, geological disaster data, meteorological data, and high-precision satellite remote sensing data. The basic data of the tailings dam is the data after integrating and processing the basic information of the tailings dam's basic conditions, dam height, reservoir capacity, and safety status. The dynamic sensing data is the data obtained by fusing and processing general equipment data, real-time monitoring data, alarm data, statistical data and equipment operating status data; The aforementioned emergency resource data fusion is the data obtained by integrating and processing data on national emergency rescue forces, emergency supplies, and emergency shelters. The three-dimensional oblique photography data is the result of fusing oblique photography dynamic information of individual tailings ponds of grade III and above across the country, oblique photography dynamic information of individual dry beach, oblique photography dynamic information of individual overflow tower, oblique photography dynamic information of individual initial dam, oblique photography dynamic information of individual downstream structures, and oblique photography dynamic information of individual surrounding projects. The geological disaster data mentioned above is the data obtained by integrating geological disaster risk type data, geological disaster monitoring and early warning data, and geological disaster early warning feedback data (monthly report data); The meteorological data mentioned above is the data obtained by integrating and processing real-time meteorological data, meteorological forecast data, meteorological statistical data, and meteorological early warning data. The high-precision satellite remote sensing data is data obtained by fusing the spectral and spatial information of various land features such as water level lines, dry beaches, overflow towers, initial dams, downstream structures, and surrounding projects in the remote sensing images of tailings ponds.

[0029] The beneficial effects of the above technical solution are as follows: by performing multi-source heterogeneous data processing on data with inconsistent structures and types in the heterogeneous data warehouse of tailings ponds, it is convenient to uniformly store and process data with inconsistent structures and types; by constructing a three-dimensional dynamic information database, it is convenient to manage three-dimensional spatial data, conduct risk analysis of tailings ponds, and query and retrieve various types of tailings pond data.

[0030] According to some embodiments of the present invention, it further includes: constructing a unified tailings dam information resource exchange platform based on the three-dimensional dynamic information database; The method for constructing a unified information resource exchange platform includes: Integrate and organize the spatial and attribute data of the mine, tailings dam and its surrounding environment in the three-dimensional dynamic information database, and construct a three-dimensional GIS system for tailings dam; The accident risk-related data of enterprises in the three-dimensional dynamic information database are correlated and analyzed to construct a tailings dam accident risk simulation analysis system. Acquire production, safety monitoring data and meteorological environmental data of the tailings dam and its surrounding environment from the three-dimensional dynamic information database, and construct a comprehensive analysis model of tailings dam monitoring data and safety indicators; Based on the aforementioned 3D GIS system for tailings ponds, tailings pond accident risk simulation analysis system, and comprehensive analysis model of tailings pond monitoring data and safety indicators, a unified tailings pond information resource exchange platform is constructed.

[0031] The working principle of the above technical solution is as follows: Based on the three-dimensional dynamic information database, a unified tailings dam information resource exchange platform is constructed; this facilitates the establishment of an information platform integrating regulatory information, hidden danger investigation, online monitoring, risk assessment, and prediction and early warning for tailings dams nationwide. The method for constructing a unified information resource exchange platform includes: integrating and organizing spatial data and attribute data of mines, tailings ponds and their surrounding environment in the three-dimensional dynamic information database, and constructing a three-dimensional GIS system for tailings ponds; the spatial data includes the location and geometric features of spatial entities; the attribute data includes various properties of geographic entities; by constructing a three-dimensional GIS system for tailings ponds, it is convenient to centrally store and process the three-dimensional data involved in tailings ponds; This system uses a three-dimensional dynamic information database to perform correlation analysis on enterprise accident risk-related data and constructs a tailings dam accident risk simulation analysis system. The accident risk-related data includes enterprise basic data, safety inspection and hazard management status, online monitoring access data, and information such as enterprise information and accident causes. This data is combined with meteorological data, geological disaster data, and force majeure factors for joint analysis. Early signs of tailings dam safety risks are identified and analyzed. A complete indicator system is then formed by combining external factors influencing tailings dam operation risks, accident case experience sharing, and force majeure factors. Big data analysis methods are used to perform correlation analysis on each factor in the indicator system, potential tailings dam accidents, and corresponding prevention and rectification measures, establishing internal connections between them to form the operational results of tailings dam risk trends. This results in the construction of a tailings dam accident risk simulation analysis system, facilitating timely guidance for enterprises to control risks, formulate safety protection measures, develop emergency response plans, and propose evacuation and rescue plans after accidents. The production, safety monitoring data, and meteorological environmental data of the tailings dam and its surrounding environment are acquired from the three-dimensional dynamic information database to construct a comprehensive analysis model of tailings dam monitoring data and safety indicators; this facilitates timely comprehensive analysis of the tailings dam's safety indicators based on the tailings dam monitoring data. Based on the aforementioned 3D GIS system for tailings ponds, tailings pond accident risk simulation analysis system, and comprehensive analysis model of tailings pond monitoring data and safety indicators, a unified tailings pond information resource exchange platform is constructed. This facilitates the sharing of regulatory information, hazard investigation, online monitoring, risk assessment, and early warning for tailings ponds nationwide.

[0032] The beneficial effects of the above technical solutions are as follows: By constructing a unified tailings dam information resource exchange platform, it is convenient to share regulatory information, hazard investigation, online monitoring, risk assessment, and early warning of tailings dams nationwide. By constructing a 3D GIS system for tailings dams, it is convenient to centrally store and process the 3D data related to tailings dams, improving the accuracy of the tailings dam accident risk simulation analysis system; by constructing a tailings dam accident risk simulation analysis system, it is convenient to guide enterprises in timely risk prevention and control, timely formulate safety protection measures, prepare emergency response plans, and timely propose evacuation and rescue plans after an accident. By constructing a comprehensive analysis model of tailings dam monitoring data and safety indicators, it is convenient to conduct comprehensive analysis of tailings dam safety indicators based on tailings dam monitoring data in a timely manner, improving the speed and efficiency of accident response.

[0033] According to some embodiments of the present invention, a corresponding QR code is generated for each tailings pond, including: Obtain the parameter information and URL data of each tailings pond in the tailings pond information resource exchange platform, and get the corresponding link address; Based on the link address, a corresponding tailings dam identification code is generated; Based on the tailings dam identification code, a corresponding QR code is generated.

[0034] The working principle and beneficial effects of the above technical solution are as follows: The parameter information and URL data corresponding to each tailings pond in the tailings pond information resource exchange platform are obtained to get the corresponding link address; this facilitates the rapid acquisition of the link address corresponding to each tailings pond; the parameter information includes the enterprise code information and tailings pond code information of the tailings pond. Based on the link address, a corresponding tailings dam identification code is generated; this facilitates the generation of QR codes; based on the tailings dam identification code, a corresponding QR code is generated; this facilitates the generation of QR codes for each tailings dam.

[0035] According to some embodiments of the present invention, an access request sent by a mobile terminal is received and sent to a three-dimensional dynamic information database for verification. Upon successful verification, specific tailings dam safety information is displayed, including: The system receives access requests from mobile terminals and sends them to a tailings dam information resource exchange platform built on a three-dimensional dynamic information database. This platform includes a comprehensive analysis model of tailings dam monitoring data and safety indicators. Identity verification is performed at the unified entry point of the comprehensive analysis model of tailings dam monitoring data and safety indicators. The verification methods include: account password verification and enterprise WeChat account verification. Once the verification is successful, the corresponding control permissions are granted to the mobile terminal; Based on the aforementioned control permissions, the mobile terminal displays specific tailings dam safety information.

[0036] The working principle of the above technical solution is as follows: It receives access requests from mobile terminals and sends them to a tailings dam information resource exchange platform built on a three-dimensional dynamic information database. This platform includes a comprehensive analysis model of tailings dam monitoring data and safety indicators. Identity verification is then performed at a unified entry point within this model. The verification methods include account password verification and WeChat account verification. Establishing a unified entry point enhances the security of accessing the three-dimensional dynamic information database. Once the verification is successful, the corresponding control permissions are granted to the mobile terminal; this facilitates the standardization of the mobile terminal's behavior when accessing data, thereby improving data security. Based on the aforementioned control permissions, the mobile terminal can display specific tailings dam safety information, facilitating real-time viewing of specific tailings dam safety information on the mobile terminal.

[0037] The beneficial effects of the above technical solution are as follows: by receiving access requests sent by mobile terminals, it is easy to identify the data that needs to be accessed, and then determine whether the data that needs to be accessed is within the control permissions of the mobile terminal based on identity verification. This facilitates the protection of data in a large number of data access behaviors and improves data security.

[0038] According to some embodiments of the present invention, the mobile terminal includes a large monitoring screen, a desktop computer, and a smartphone; The mobile terminal can scan the QR code to access the corresponding WeChat mini-program and view specific tailings dam safety information in real time.

[0039] The working principle and beneficial effects of the above technical solution are as follows: The mobile terminal includes a monitoring screen, a desktop computer, and a smartphone; the mobile terminal scans the QR code to enter the corresponding WeChat mini program, and can view the safety information of specific tailings ponds in real time, which solves the problem of inconvenience in viewing the safety information of each tailings pond in real time.

[0040] like Figure 7-11 As shown in some embodiments of the present invention, the display of specific tailings dam safety information includes: display of basic information of the tailings dam, display of external information of the tailings dam, display of tailings dam risk analysis, and display of tailings dam emergency resource information; The basic information display of the tailings dam includes the display of basic information about the tailings dam, an overview of monitoring and early warning, tailings dam design information, and the main attributes of the tailings dam. The external information display of the tailings dam includes the display of surrounding environmental information, geological disaster information, and meteorological information; The tailings dam risk analysis display includes details of the risks, the risk status of different systems in the tailings dam, the risk ratio and risk distribution ranking, the real-time early warning status of the day, and a recent early warning frequency curve. The tailings dam emergency resource information display includes the display of emergency rescue forces and their geographical locations around the tailings dam, emergency equipment and supplies, information on surrounding sensitive targets and emergency shelters.

[0041] The working principle of the above technical solution is as follows: display of basic information about the tailings dam, display of external information about the tailings dam, display of risk analysis of the tailings dam, and display of emergency resource information of the tailings dam; like Figure 7 As shown, the basic information of the tailings dam is displayed, including basic information, monitoring and early warning overview, tailings dam design information, and main attributes of the tailings dam. The basic information includes: tailings dam name, geographical location, type, operating status, current dam height, current reservoir capacity, turbid water area, flood discharge facilities, and the outer slope ratio of the tailings dam. The monitoring and early warning overview refers to the current status of various monitoring indicators of the tailings dam, including: current extreme values, early warning thresholds, and data units. The tailings dam design information includes: industry, mineral type, design life, total design elevation, total design reservoir capacity, design flood control standard, design seismic intensity, and design unit. The main attributes of the tailings dam include: total reservoir capacity, primary dam height, total dam height, total downstream population, and the outer slope ratio of the tailings dam. The external information display of the tailings dam includes information on the surrounding environment, geological hazards, and meteorological conditions. The surrounding environment information refers to a three-dimensional oblique photographic diagram of the area surrounding and downstream of the tailings dam, marked with relevant location data. The geological hazard information includes monitoring and early warning data for geological hazards such as landslides, collapses, debris flows, and ground subsidence in the specific tailings dam area, such as warning time, warning range, and warning level. The meteorological information includes real-time meteorological information and meteorological forecast data. Real-time meteorological information includes data from monitoring stations, precipitation observations, wind observations, temperature observations, radar data, satellite cloud images, and severe convection data. The meteorological forecast data is used to assist in emergency command, disaster relief, personnel evacuation, and material allocation operations. like Figure 10 , 11 As shown, the tailings dam risk analysis display includes a display of risk details, risk status of different systems in the tailings dam, risk ratios and risk distribution rankings, daily early warning status, and a recent early warning frequency curve; the risk details include the job unit, risk factors, and risk level; like Figure 8 , 9 As shown, the tailings dam emergency resource information display includes the display of emergency rescue forces and their geographical locations around the tailings dam, emergency equipment and supplies, information on surrounding sensitive targets and emergency shelters; the surrounding emergency rescue forces include medical rescue institutions, public security police agencies, professional rescue agencies, fire rescue agencies, traffic police agencies, emergency repair centers, external support units and government agencies; the emergency equipment and supplies include the type of materials, equipment name, functional requirements and main indicators, quantity, unit where they are located, contact person and their contact information.

[0042] The beneficial effects of the above technical solution are as follows: By displaying specific tailings dam safety information, including basic information about the tailings dam, external information about the tailings dam, risk analysis of the tailings dam, and emergency resource information of the tailings dam, relevant personnel can have a comprehensive understanding of the situation of the tailings dam. When an emergency occurs at the tailings dam and an emergency plan needs to be made, there is sufficient data to rely on, which also helps to improve the efficiency of emergency response.

[0043] According to some embodiments of the present invention, the tailings dam information resource exchange platform is used for data sharing with other terminal devices, including: The tailings dam information resource exchange platform receives data sharing requests from nodes and determines the identifier of the node that issued the sharing request; one node corresponds to one terminal device; The data sharing request is parsed to obtain the parsing result; the parsing result includes information about the multiple sharing nodes to be shared, the data type of the request, and the data source information; Based on the node's identifier and resolution results, determine the target's access permissions; Obtain the target sharing node; Based on the target sharing node, a shared master chain is constructed, and the central node of the shared master chain is obtained; based on the request data type and data source information, the target shared data is matched and obtained; the target shared data is transmitted to each target sharing node in the shared master chain based on the central node.

[0044] The working principle of the above technical solution is as follows: the tailings dam information resource exchange platform receives data sharing requests from nodes and determines the identifier of the node that issued the sharing request; one node corresponds to one terminal device; Based on the node's identifier, determine the corresponding standard access permissions; The data sharing request is parsed to obtain the parsing result, which includes information about the multiple sharing nodes to be shared, the data type of the request, and the data source information. Determine the target access permissions based on the information of the multiple sharing nodes to be shared, the data type of the request, and the data source information; this facilitates a more rigorous determination of access permissions. When the standard access permission includes the target access permission, the identifiers of multiple sharing nodes are determined; this facilitates simultaneous data sharing among multiple nodes. Based on the identifiers of multiple sharing nodes, the tailings dam information resource exchange platform sends status messages to the multiple sharing nodes to obtain the status information of the multiple sharing nodes; the status information includes available status and unavailable status; this helps to avoid data resource waste caused by sharing nodes being in an unavailable state during data sharing; Use the sharing node that is in an available state as the target sharing node; Based on the target sharing node, a shared master chain is constructed to improve data sharing efficiency. The first parameter of each target sharing node in the shared total chain is obtained and normalized to obtain the adjustment parameter. The first parameter is used to describe the degree of each target sharing node. For example, if there is a node a, the degree of node a is calculated, that is, the number of nodes that are directly connected to node a is calculated. The adjustment parameter of node a is the value after mapping the degree of node a to the range {-1,1} using the normalization method. Based on the adjustment parameters, a second parameter for each target sharing node is calculated. The second parameter describes the proximity between each target sharing node and other target sharing nodes, and is calculated using the least squares method. For example, the smaller the value of the second parameter of node a, the greater the proximity of node a to other nodes, and the more important this node is. Nodes whose second parameter is greater than a preset threshold are designated as central nodes; this facilitates the selection of nodes that can share data most efficiently. Based on the request data type and data source information, the target shared data is matched; this facilitates quick and accurate identification of the data that needs to be shared. Based on a preset data-storage table, the storage unit corresponding to the target shared data in the three-dimensional dynamic information database is obtained; the data-storage table describes the correspondence between different data and different storage units, which facilitates improving the efficiency of obtaining the target shared data; Establish an association between the storage unit and the central node; The target shared data is transmitted from the central node to each target sharing node in the overall shared chain.

[0045] The beneficial effects of the above technical solution are as follows: By parsing data sharing requests to obtain parsing results, it is easier to determine access permissions, the nodes to be shared, and the tailings dam security information data to be shared based on the information of multiple sharing nodes, the data type of the request, and the data source information contained in the parsing results. By constructing a shared master chain, it is easier to improve the accuracy and efficiency of data sharing when there are multiple nodes to share. By storing data in multiple storage units, it avoids the problem of data storage chaos when the data volume is large, and improves the organization of data storage and the efficiency of data matching. In summary, all of these measures collectively achieve the effect of improving data sharing efficiency.

[0046] According to some embodiments of the present invention, before displaying the emergency rescue forces and their geographical locations around the tailings dam, the method includes marking the emergency rescue forces and their geographical locations around the tailings dam. Images of the area surrounding the tailings dam from multiple preset viewpoints are acquired as several target images; image enhancement processing is performed on the target images to obtain enhanced images; Feature extraction is performed on the enhanced image to obtain several corresponding partial features; Based on the aforementioned features and a preset recognition model, the category information and location data of the emergency rescue forces surrounding the tailings dam included in the enhanced image are identified. The first annotation box is obtained by labeling the emergency rescue forces around the tailings dam based on their category information and location data; the first annotation box is a rectangle. By constructing a search box and correcting the first annotation box, a second annotation box is obtained; Determine the display requirements, and display the second annotation box based on the display requirements.

[0047] The working principle of the above technical solution is as follows: acquire images of the area surrounding the tailings dam from multiple preset viewpoints, and use them as several images. Target image; The target image is subjected to image enhancement processing to obtain an enhanced image. Feature extraction is performed on the enhanced image to obtain several corresponding partial features; this facilitates better recognition of the enhanced image. Based on the aforementioned features and a preset recognition model, the category information and location data of the emergency rescue forces around the tailings dam included in the enhanced image are identified. The preset recognition model is constructed by training several images containing emergency rescue forces as samples. This facilitates the rapid identification of the emergency rescue forces around the tailings dam included in the enhanced image and the acquisition of corresponding category information and location data. Based on the category information and location data of the emergency rescue forces around the tailings dam, a first annotation box is obtained; the first annotation box is a rectangle; this facilitates the initial annotation of the emergency rescue forces around the tailings dam. Determine the four sides of the rectangle, and construct the search box using the sides as the center line; The image of the region corresponding to the search box is input into a pre-trained feature segmentation model to obtain several feature segmentation points; the feature segmentation points are the boundary points that divide the emergency rescue forces around the tailings dam from adjacent different things; Connect the feature division points to obtain the corrected search box; The first annotation box is corrected based on four correction search boxes to obtain the second annotation box; this facilitates obtaining a more accurate and relevant annotation box for the emergency rescue forces around the tailings dam. Determine the display requirements. If the display requirements are static, display the second annotation box of the target image with the corresponding preset viewpoint. When the display requirement is determined to be dynamic, the target images from each preset viewpoint are sequentially labeled to obtain the corresponding labeled images. The labeled images are displayed dynamically in sequence to determine the dynamic changes of the second label box during the dynamic display, which facilitates adaptation to different display needs.

[0048] The beneficial effects of the above technical solution are as follows: By extracting features from the enhanced image, several corresponding partial features are obtained, facilitating more detailed recognition of the enhanced image. Based on these partial features and a preset recognition model, the enhanced image is recognized, enabling rapid and accurate identification of the emergency rescue forces surrounding the tailings dam, and obtaining corresponding category information and location data. Labeling using the obtained category information and location data facilitates initial labeling of the emergency rescue forces surrounding the tailings dam. Constructing a search box allows for further refinement within the corresponding image area, resulting in a more accurate and fitting labeling frame for the emergency rescue forces surrounding the tailings dam. Determining display requirements allows the labeled image to adapt to different display scenarios, facilitating various viewing needs of relevant personnel.

[0049] According to some embodiments of the present invention, before performing recognition based on the recognition model, the method further includes: Obtain a test image as a test case; The test cases are input into the recognition model for testing to determine the recognition difficulty coefficient of each test case: ; in, Indicates test case The difficulty level ranges from 1 to 10. ; This represents the total number of times the recognition model identifies the same test case. This indicates that the recognition model identifies the first test case. Second-rate; Represents an indicator function; Represents the detected test cases The corresponding label test value; Represents known test cases The standard value of the label; Represents recognition accuracy; Based on the recognition difficulty coefficient of the test case, the recognition capability evaluation parameters of the recognition model are determined: ; in, These represent the evaluation parameters for the recognition capability of the recognition model; Indicates the total number of test cases; It is an adjustment coefficient, to prevent A constant set to be used because it cannot be calculated when its value is 0; its value range is [range missing]. ; The recognition capability evaluation parameter is compared with the recognition capability evaluation threshold. When the recognition capability evaluation parameter is greater than the preset recognition capability evaluation threshold, it is determined that the recognition capability of the recognition model has reached the qualified standard. The image enhancement is then recognized based on the recognition model that has reached the qualified standard.

[0050] The working principle and beneficial effects of the above technical solution are as follows: acquire test images as test cases; input the test cases into the recognition model for testing, and determine the recognition difficulty coefficient of each test case; facilitate the use of the difficulty coefficient as a factor to evaluate the recognition ability of the recognition model; determine the recognition ability evaluation parameters of the recognition model based on the recognition difficulty coefficient of the test cases; facilitate the provision of a basis for the recognition ability of the recognition model based on the calculated recognition ability evaluation parameters.

[0051] Comparing the recognition capability evaluation parameters with the recognition capability evaluation threshold facilitates the determination of whether the recognition capability of the recognition model has reached the qualified standard, ensuring that the recognition model for recognizing the enhanced image has reached the qualified standard, thereby ensuring the accuracy of the emergency rescue force category information and location data around the tailings dam obtained through recognition.

[0052] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A tailings dam safety information management method based on a QR code access data platform, characterized in that, include: Construct a heterogeneous data warehouse for tailings ponds; Based on data dynamic fusion technology and heterogeneous data fusion technology, an architecture design is carried out for the heterogeneous data warehouse of tailings dam, and a three-dimensional dynamic information database is constructed. A corresponding QR code is generated for each tailings pond and connected to a three-dimensional dynamic information database; It receives access requests from mobile terminals and sends them to a 3D dynamic information database for verification. When the verification is successful, it displays specific tailings dam safety information. It also includes: building a unified tailings dam information resource exchange platform based on the aforementioned three-dimensional dynamic information database; The method for constructing a unified information resource exchange platform includes: Integrate and organize the spatial and attribute data of the mine, tailings dam and its surrounding environment in the three-dimensional dynamic information database, and construct a three-dimensional GIS system for tailings dam; The accident risk-related data of enterprises in the three-dimensional dynamic information database are correlated and analyzed to construct a tailings dam accident risk simulation analysis system. Acquire production, safety monitoring data and meteorological environmental data of the tailings dam and its surrounding environment from the three-dimensional dynamic information database, and construct a comprehensive analysis model of tailings dam monitoring data and safety indicators; Based on the aforementioned 3D GIS system for tailings ponds, tailings pond accident risk simulation analysis system, and comprehensive analysis model of tailings pond monitoring data and safety indicators, a unified tailings pond information resource exchange platform is constructed. The tailings dam information resource exchange platform is used for data sharing with other terminal devices, including: The tailings dam information resource exchange platform receives data sharing requests from nodes and determines the identifier of the node that issued the sharing request; one node corresponds to one terminal device; The data sharing request is parsed to obtain the parsing result; the parsing result includes information about the multiple sharing nodes to be shared, the data type of the request, and the data source information; Based on the node's identifier and resolution results, determine the target's access permissions; Obtain the target sharing node; Based on the target sharing node, a shared master chain is constructed, and the central node of the shared master chain is obtained; based on the request data type and data source information, the target shared data is matched and obtained; the target shared data is transmitted to each target sharing node in the shared master chain based on the central node; The display of specific tailings dam safety information includes: display of basic information about the tailings dam, display of external information about the tailings dam, display of risk analysis of the tailings dam, and display of emergency resource information of the tailings dam. The basic information display of the tailings dam includes the display of basic information about the tailings dam, an overview of monitoring and early warning, tailings dam design information, and the main attributes of the tailings dam. The external information display of the tailings dam includes the display of surrounding environmental information, geological disaster information, and meteorological information; The tailings dam risk analysis display includes details of the risks, the risk status of different systems in the tailings dam, the risk ratio and risk distribution ranking, the real-time early warning status of the day, and a recent early warning frequency curve. The tailings dam emergency resource information display includes the display of emergency rescue forces and their geographical locations around the tailings dam, emergency equipment and supplies, information on surrounding sensitive targets and emergency shelters; Before displaying the emergency rescue forces and their geographical locations around the tailings dam, the methods for marking these forces and their locations include: Images of the area surrounding the tailings dam from multiple preset viewpoints are acquired as several target images; image enhancement processing is performed on the target images to obtain enhanced images; Feature extraction is performed on the enhanced image to obtain several corresponding partial features; Based on the aforementioned features and a preset recognition model, the category information and location data of the emergency rescue forces surrounding the tailings dam included in the enhanced image are identified. The first annotation box is obtained by labeling the emergency rescue forces around the tailings dam based on their category information and location data; the first annotation box is a rectangle. By constructing a search box and correcting the first annotation box, a second annotation box is obtained; Determine the display requirements, and display the second annotation box based on the display requirements.

2. The tailings dam safety information management method based on a QR code access data platform as described in claim 1, characterized in that, The construction of the heterogeneous data warehouse for tailings ponds includes: technical architecture design, data architecture design, physical deployment architecture design, and information data resource architecture design. The technical architecture design includes: data acquisition, data processing layer, data storage layer, data acquisition layer, data access layer, analysis and presentation layer, service framework, data service, service configuration and system management; The data architecture design includes: data source design and data storage distribution design; The physical deployment architecture is designed to be deployed in a distributed manner, including: in-memory computing cluster, management and scheduling cluster, and load balancing cluster; The information data resource architecture design includes: data publishing, data processing, data storage, data business view, and data model.

3. The tailings dam safety information management method based on a QR code access data platform as described in claim 1, characterized in that, An architecture for a heterogeneous data warehouse for tailings ponds is designed based on dynamic data fusion technology and heterogeneous data fusion technology, constructing a three-dimensional dynamic information database, including: Based on the method of combining ETL tools and SQL, multi-source heterogeneous data processing is performed on data with inconsistent structure and type in the heterogeneous data warehouse of tailings ponds to obtain fused data after the fusion of multiple types of data. A three-dimensional dynamic information database is constructed based on the fused data; The multi-source heterogeneous data processing includes data extraction and data cleaning and transformation; The various types of data include basic tailings dam data, dynamic sensing data, emergency resource data, 3D oblique photography data, geological disaster data, meteorological data, and high-precision satellite remote sensing data.

4. The tailings dam safety information management method based on a QR code access data platform as described in claim 1, characterized in that, Generate a corresponding QR code for each tailings pond, including: Obtain the parameter information and URL data of each tailings pond in the tailings pond information resource exchange platform, and get the corresponding link address; Based on the link address, a corresponding tailings dam identification code is generated; Based on the tailings dam identification code, a corresponding QR code is generated.

5. The tailings dam safety information management method based on a QR code access data platform as described in claim 1, characterized in that, The system receives access requests from mobile terminals and sends them to a 3D dynamic information database for verification. Upon successful verification, it displays specific tailings dam safety information, including: The system receives access requests from mobile terminals and sends them to a tailings dam information resource exchange platform built on a three-dimensional dynamic information database, which includes a comprehensive analysis model of tailings dam monitoring data and safety indicators. The system then performs identity verification at the unified entry point of the comprehensive analysis model of tailings dam monitoring data and safety indicators. The verification methods include: account password verification and enterprise WeChat account verification; Once the verification is successful, the corresponding control permissions are granted to the mobile terminal; Based on the aforementioned control permissions, the mobile terminal displays specific tailings dam safety information.

6. The tailings dam safety information management method based on a QR code access data platform as described in claim 1, characterized in that, The mobile terminals include large monitoring screens, desktop computers, and smartphones; The mobile terminal can scan the QR code to access the corresponding WeChat mini-program and view specific tailings dam safety information in real time.

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