Mine safety production intelligent management and control platform construction method based on multi-system fusion

Abstract

The invention discloses a mine safety production intelligent management and control platform construction method and device based on multi-system fusion, and relates to the technical field of mine comprehensive management and control. The method comprises the following steps: constructing a comprehensive management and control database according to subsystem archive data; based on the digital twinborn technology, a mapping model is constructed according to mine aerial survey data and drawing data, and a mine digital twinborn body is obtained; based on the subsystem access mode and a comprehensive management and control platform interface, a comprehensive management and control platform is constructed according to the mine digital twinborn body and a comprehensive management and control database; performing comprehensive analysis on mine safety production based on the comprehensive management and control platform to obtain a mine safety production situation assessment result; and packaging the multi-source system data of the comprehensive management and control database and the mine safety production situation assessment result based on a preset data standard template, and carrying out networking forwarding through a secure transmission channel. The invention relates to a visual efficient intelligent management and control platform construction method based on multi-system linkage.

Description

Technical Field

[0001] This invention relates to the field of integrated mine management and control technology, and in particular to a method and device for constructing an intelligent management and control platform for mine safety production based on multi-system integration. Background Technology

[0002] Mine safety is the lifeline of the mining industry. Currently, most mining companies have deployed various safety monitoring and production automation systems, such as environmental monitoring, personnel positioning, equipment monitoring, video surveillance, power supply, drainage, and compressed air systems. However, these systems typically come from different manufacturers, were built at different times, and use their own independent technical standards and communication protocols, resulting in a serious "data silo" phenomenon. This leads to ineffective communication between systems, difficulty in data integration and utilization, and requires managers to switch between multiple different operating interfaces, making it impossible to have a comprehensive and intuitive grasp of the overall mine safety situation.

[0003] Existing integration solutions are mostly limited to simple data aggregation and screen stacking, lacking in-depth integration and intelligent applications. This is mainly manifested in the following aspects: a single data access method, a lack of unified protocol adaptation capabilities, and a complex and time-consuming integration process; monitoring interfaces are mostly based on two-dimensional configuration diagrams, with low visualization levels, failing to realistically reproduce the complex underground environment; although the subsystems are integrated on the same platform, they still operate independently, lacking rule-based intelligent linkage, requiring manual judgment and operation even after warnings, resulting in delayed response.

[0004] In existing technologies, there is a lack of a method for constructing a visualized, efficient, and intelligent management and control platform based on multi-system linkage. Summary of the Invention

[0005] To address the data barriers in existing mine safety and production systems and the inability to achieve real-time data collection and analysis, this invention provides a method and apparatus for constructing an intelligent management and control platform for mine safety and production based on multi-system integration. The technical solution is as follows:

[0006] On the one hand, a method for constructing an intelligent management and control platform for mine safety production based on multi-system integration is provided. This method is implemented by equipment for constructing an intelligent management and control platform for mine safety production, and includes:

[0007] Acquire subsystem archive data, drawing data, mine entity data, production monitoring data, and equipment parameter data of the mine safety production system;

[0008] Based on the data access specifications for underground metal and non-metal mines, a comprehensive management and control database is constructed according to the data archives of subsystems.

[0009] Using drones, ground aerial surveys are conducted on the mine to obtain mine aerial survey data; based on digital twin technology, a mapping model is constructed according to the mine aerial survey data and the data in the map to obtain a digital twin of the mine;

[0010] Obtain platform design requirements; based on subsystem archive data, design the graphical interface according to the platform design requirements to obtain the comprehensive management and control platform interface;

[0011] The subsystem access method is determined based on the subsystem archive data; based on the subsystem access method and the interface of the integrated management and control platform, the integrated management and control platform is constructed according to the mine digital twin and the integrated management and control database;

[0012] Based on the integrated management and control platform, a comprehensive analysis of mine safety production is conducted to obtain mine safety production status assessment results. Based on the preset data standard template, the multi-source system data of the integrated management and control database and the mine safety production status assessment results are packaged and processed, and then forwarded through a secure transmission channel.

[0013] On the other hand, a device for constructing an intelligent management and control platform for mine safety production based on multi-system integration is provided. This device is applied to a method for constructing an intelligent management and control platform for mine safety production based on multi-system integration. The device includes:

[0014] The data acquisition module is used to acquire subsystem archive data, drawing data, mine entity data, production monitoring data, and equipment parameter data of the mine safety production system;

[0015] The database construction module is used to build a comprehensive management and control database based on the data access specifications for sensing data in underground metal and non-metal mines and the archive data of subsystems.

[0016] The digital twin module is used to conduct ground aerial surveys of mines using drones to obtain mine aerial survey data; based on digital twin technology, a mapping model is constructed according to the mine aerial survey data and map data to obtain a digital twin of the mine;

[0017] The interface design module is used to obtain platform design requirements; based on subsystem archive data, it designs the graphical interface according to the platform design requirements to obtain the comprehensive management and control platform interface.

[0018] The platform construction module is used to determine the subsystem access method based on the subsystem archive data; based on the subsystem access method and the integrated management and control platform interface, the integrated management and control platform is constructed according to the mine digital twin and the integrated management and control database.

[0019] The comprehensive analysis module is used to conduct comprehensive analysis of mine safety production based on the comprehensive management and control platform, and obtain mine safety production status assessment results. Based on the preset data standard template, it encapsulates and processes multi-source system data and mine safety production status assessment results from the comprehensive management and control database, and forwards them through a secure transmission channel.

[0020] On the other hand, a device for constructing an intelligent management and control platform for mine safety production is provided. The device includes: a processor; a memory, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, it implements any of the methods described above for constructing an intelligent management and control platform for mine safety production based on multi-system integration.

[0021] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement any of the above-described methods for constructing a mine safety production intelligent control platform based on multi-system integration.

[0022] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0023] This invention proposes a method for constructing an intelligent management and control platform for mine safety production. By integrating and coordinating multiple systems, it resolves the problems of chaotic existing architecture and redundant functions, achieves information sharing and interaction among subsystems, breaks down data barriers, constructs an organic whole, significantly improves the overall guarantee capability of mine safety production, and lays a solid foundation for the safe and stable operation of mines.

[0024] The constructed data management system manages and displays massive amounts of monitoring data in an orderly manner and intuitively. Data integration and sharing eliminate data silos, enabling different data to be correlated and corroborated, providing comprehensive and accurate basis for mine safety production decisions, and helping to formulate scientific and reasonable production and safety plans;

[0025] Based on 3D digital twin technology, 2D planar monitoring is upgraded to 3D immersive monitoring. Real-time data is deeply integrated with 3D models, allowing managers to intuitively and realistically grasp complex underground information, effectively ensuring safe and efficient mine production, and opening a new monitoring mode.

[0026] Machine learning algorithms are used to move the safety management checkpoint forward and provide proactive early warnings, helping mining companies to prevent and reduce safety risks in a timely manner.

[0027] Built-in standard templates and secure transmission mechanisms ensure that reported data is formatted correctly, accurate, and meets superior requirements. A reliable channel is built using secure isolation devices and VPN technology to prevent data leakage and tampering, ensuring timely and accurate reporting by enterprises and assisting in supervision. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 This is a flowchart of a method for constructing an intelligent management and control platform for mine safety production based on multi-system integration, provided by an embodiment of the present invention.

[0030] Figure 2 This is a block diagram of a construction device for an intelligent control platform for mine safety production based on multi-system integration, provided in an embodiment of the present invention.

[0031] Figure 3 This is a schematic diagram of the structure of a mine safety production intelligent management and control platform construction device provided in an embodiment of the present invention. Detailed Implementation

[0032] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0033] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0034] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0035] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0036] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0037] This invention provides a method for constructing an intelligent management and control platform for mine safety production based on multi-system integration. This method can be implemented using equipment for constructing such a platform, which can be a terminal or a server. Figure 1 The flowchart shown illustrates the construction method of an intelligent management and control platform for mine safety production based on multi-system integration. The processing flow of this method may include the following steps:

[0038] S1. Obtain subsystem archive data, drawing data, mine entity data, production monitoring data, and equipment parameter data of the mine safety production system;

[0039] In one feasible implementation, by adopting on-site survey methods, such as reviewing equipment documentation, communicating with equipment suppliers, or checking equipment identification on-site, the subsystem archive data is constructed and improved, including but not limited to the developer of each subsystem, function description, equipment list, communication protocol used, and specific interface type.

[0040] The drawing data includes topographic and geological maps of the mining area, development system diagrams, intermediate plan diagrams, and mining equipment diagrams; the mine entity data includes detailed information such as the geometric dimensions and material properties of the physical entities in the mine; the production monitoring data includes dynamic data of mining and ore dressing processes in real time, such as equipment operation procedures and ore dressing operation procedures; and the equipment parameter data includes the collection of performance parameters and physical state information of the mining production equipment, such as temperature and pressure, which are mapped into the performance model of the virtual model to accurately reflect the actual performance status of the physical space.

[0041] Among them, subsystem archive data refers to the archive data corresponding to each system in the mine safety production system;

[0042] The subsystem archive data includes the developer, function description, equipment list, communication protocol type, and interface type;

[0043] The subsystem types of the subsystem archive data include environmental monitoring systems, production operation systems, personnel positioning systems, and video surveillance systems.

[0044] In one feasible implementation, system data with different communication protocols is obtained through subsystem-specific communication protocols (such as Modbus TCP, OPC UA), including environmental data (such as gas monitoring data; monitoring data such as wind pressure, wind speed, and ventilation fan start / stop status; water pump start / stop status monitoring data; underground ground pressure monitoring data; monitoring data alarm information; equipment failure / return to normal status information, etc.), production operation system data (such as hoist operation status, mineral processing automation control, etc.), personnel positioning data (personnel location, activity trajectory, etc.), and video data (monitoring screens, video streams, etc.).

[0045] The subsystem archive data is obtained through a combination of subsystem project file query and detailed manual verification to obtain data point tables for each subsystem and to evaluate the quality of the collected data; obtain the structure information of the data point tables, including the name, address, and data type of the data points; check for missing values, outliers, duplicate values, etc. in the data point tables to evaluate the accuracy and completeness of the data; and check whether the logical relationships between the data points are reasonable and whether there are any contradictions or inconsistencies.

[0046] Based on the subsystem files and data point tables, compare the compatibility of each subsystem. Different subsystems may use different communication protocols. If the protocols are incompatible, data cannot be transmitted and interacted normally, affecting the overall system operation. Carefully check whether the interface types and parameters of each subsystem match. Incompatible interface types will prevent physical connections, while incompatible parameters may lead to data transmission errors or abnormal system functions. Identify the technical difficulties and potential risks faced by system access, such as some older subsystems being incompatible with other new systems due to outdated technology, or unreasonable interface parameter settings that may cause data transmission interruptions. Generate a system access technology feasibility assessment report.

[0047] S2. Based on the data access specifications for sensing data in underground metal and non-metal mines, a comprehensive management and control database is constructed according to the data archived by the subsystems.

[0048] Optionally, based on the data access specifications for underground metal and non-metal mine sensing, a comprehensive management and control database is constructed according to the subsystem archive data, including:

[0049] Based on the data access standard for underground metal and non-metal mines, the data is converted using a unified protocol through a smart gateway, according to the data in the subsystem archives.

[0050] Based on the converted archive data, edge computing methods are used for preprocessing to obtain processed archive data.

[0051] Based on a preset IP address range, a comprehensive management and control database is constructed according to the processed archive data.

[0052] In one feasible implementation, based on the "Specifications for Access to Sensing Data in Metal and Non-metal Underground Mines (Trial)" formulated by the State Administration of Mine Safety, and in conjunction with the feasibility assessment report on system access technology, a data access standard specification covering communication protocols, data formats, and other content is formulated.

[0053] Communication protocol standards and specifications should prioritize widely used general protocols in the industrial field (such as Modbus TCP and OPCUA), and convert other more specialized legacy device protocols through intelligent data gateways; data format standards and specifications should uniformly define the encoding format (such as JSON and XML), data units, and timestamp standards (such as ISO 8601 format) for transmitted data.

[0054] As a core device for data access and transformation, the intelligent data gateway possesses powerful functions, including data acquisition, protocol parsing, protocol conversion, and edge computing. When system data is transmitted to the intelligent data gateway, the gateway can automatically identify the data's communication protocol and parse the data using its built-in multi-protocol conversion module. The parsed data is then converted into JSON standard format, resulting in a data stream conforming to a unified communication protocol standard.

[0055] According to data format standards, edge computing is used to preprocess the protocol-converted data stream, including data error correction, integration, computation, storage, and compression, to obtain multi-source system data. Edge computing, as an emerging computing model, focuses on migrating computing, storage, networking, and service capabilities from traditional centralized data centers to the network edge, bringing these capabilities closer to the data source or monitoring personnel's terminals, thereby effectively reducing data transmission latency and improving data processing efficiency. Edge computing capabilities are used to perform real-time preprocessing on the protocol-converted, standardized data stream, specifically including:

[0056] Data cleaning and error correction are crucial during data acquisition and transmission. Equipment malfunctions, network interference, and other factors can lead to abnormal data or incomplete records. The data cleaning and error correction module monitors and analyzes the data stream in real time, identifying and removing abnormal data, while also repairing incomplete records.

[0057] Data integration and computation are crucial in mining operations. Data generated during production often originates from multiple subsystems, and these data points are interconnected. The data integration and computation module can correlate and aggregate multiple data streams, performing simple logical operations or formula calculations. For example, based on parameters such as current and voltage, it can calculate equipment energy consumption in real time using preset energy consumption formulas; it can also aggregate and analyze environmental data from different regions to gain a comprehensive understanding of the overall mine environment. Through data integration and computation, scattered data can be transformed into valuable information, providing strong support for mine production decisions.

[0058] Data caching and compression are implemented to address network instability or disconnections, ensuring data integrity and continuity. The module temporarily stores processed data locally. Data compression algorithms are used to compress the data, reducing data storage space and network bandwidth requirements. Once the network is restored, the cached data is promptly uploaded to the integrated management database, enabling resume transmission after a disconnection. For example, for video data, efficient compression algorithms significantly reduce data volume while maintaining video quality, improving data transmission efficiency.

[0059] By dividing address ranges and implementing unified IP address planning and management, a stable and reliable network communication environment is constructed, and multi-source system data is uploaded to a comprehensive management and control database integrating multiple systems. A unique IP address is assigned to each subsystem, device, and network node to ensure the uniqueness and accuracy of network communication. A comprehensive IP address management mechanism is established to track and manage the allocation, use, and recycling of IP addresses throughout the entire process, avoiding IP address conflicts and waste, and ensuring the stability of network communication.

[0060] Based on a comprehensive management database and subsystem archives integrating multiple systems, a redundant backup scheme is designed with data redundancy (such as disk arrays and off-site backup) and hardware redundancy (such as dual power supplies and dual network cards) to ensure high availability and reliability of data acquisition. Specific measures include:

[0061] For scenarios with large data volumes and high storage cost sensitivity, disk arrays employ RAID 5 technology. This involves using at least three hard drives to form an array, distributing data and parity information across the drives. If one hard drive fails, the lost data can be reconstructed using the data and parity information on the remaining drives.

[0062] Off-site backup is performed weekly for full data backup. Incremental backups are performed after the daily peak data collection period. All data in the data collection system is backed up to an off-site data center via encrypted transmission. The full backup data and incremental backup data together constitute a complete data backup system.

[0063] The dual-power design equips the data acquisition server with two independent power modules. Both modules supply power to the server simultaneously, and if one power module fails, the other can immediately take over the power supply, ensuring continuous and stable operation of the server and preventing data acquisition interruptions due to power failure.

[0064] The dual-NIC design involves installing two NICs on the data acquisition server, each connected to a different network switch or network link. By configuring network load balancing or failover functions, dual-link data transmission is achieved. When one network link fails, data automatically switches to the other working link, ensuring the real-time performance and reliability of data acquisition. Simultaneously, the dual-NIC design also improves network bandwidth utilization and enhances data transmission efficiency.

[0065] After the data protocol conversion and access strategy are determined, the integration and testing of hardware and software will proceed. This includes configuring the integrated management platform server, establishing the database, and debugging network communication. Simultaneously, the data interfaces of each subsystem will be tested one by one to ensure the accuracy and integrity of the data.

[0066] S3. Use drones to conduct ground aerial surveys of the mine to obtain mine aerial survey data; based on digital twin technology, construct a mapping model based on the mine aerial survey data and map data to obtain a digital twin of the mine;

[0067] Optionally, based on digital twin technology, a mapping model is constructed from mine aerial survey data and drawing data to obtain a digital twin of the mine, including:

[0068] Based on aerial survey data and drawings of the mine, 3D MAX was used for visualization modeling to obtain a comprehensive 3D model of the mine. The comprehensive 3D model of the mine includes a 3D real-scene model of the surface, a detailed model of the production equipment, and a real-scene model of the underground middle section.

[0069] Based on digital twin technology, a comprehensive three-dimensional model of the mine is accurately mapped according to the mine entity data, production monitoring data, and equipment parameter data to obtain a digital twin of the mine.

[0070] In one feasible implementation, a combination of UAV aerial surveying and 3D MAX modeling is used to construct a visualized 3D model of the mine; based on the UAV aerial surveying, a 3D real-scene model of the mine surface is obtained; based on the 3D MAX modeling, a detailed model of the mine production equipment and a real-scene model of the underground middle section are obtained.

[0071] Using digital twin technology (covering object twins, process twins, and performance twins), we can achieve precise mapping between physical space (covering mine physical entities, physical states, production processes, and production equipment) and virtual models (including physical models, virtual states, virtual scene operation processes, and performance models).

[0072] Object twinning mainly involves accurately collecting detailed information about the physical entities of a mine and mapping it to the physical model of a virtual model, ensuring that the virtual model is highly consistent with the physical entity in terms of form and characteristics.

[0073] Process twinning mainly involves real-time monitoring of dynamic data during the mining production process and synchronously mapping this data onto the operation process in a virtual scene, thereby achieving a virtual reproduction of the production process.

[0074] Performance twins primarily involve collecting performance parameters and physical state information of mining production equipment and mapping them onto the performance model of a virtual model to accurately reflect the actual performance status in the physical space.

[0075] The UAV aerial survey process includes data collection in the study area, on-site investigation, flight path design, image data acquisition, image quality assessment, and completion of missing areas to obtain a 3D reality model of the mine surface. Based on the drawings, 3D modeling software is used to obtain detailed models of the mine production equipment and a reality model of the underground section. Digital twin technology, as an important component of the new generation of information technology, achieves deep integration of the physical world and the information world by constructing a virtual mapping of physical entities. Its core lies in using real-time perception, dynamic simulation, and interactive feedback mechanisms to create a complete digital representation of physical objects in virtual space, and then using the virtual model to monitor, analyze, and optimize the physical entities in real time.

[0076] The comprehensive 3D model of the mine mainly includes a 3D panoramic model of the surface, a detailed model of the production equipment, and a realistic model of the underground middle section. Details are as follows:

[0077] The 3D surface model showcases the entire mine, including surface structures, major production systems, and the surrounding environment. It supports interactive operation, allowing managers to zoom, rotate, and pan to observe different parts of the mine from various angles and distances, obtaining more detailed information. Furthermore, the panoramic model can be linked and integrated with other functional modules.

[0078] The detailed models of production equipment, including key components such as fans, pumps, and elevators, are meticulously reconstructed in 1:1 scale using 3D modeling software. These models not only accurately represent the equipment's appearance, structure, and spatial layout, but also enable dynamic visualization and interactive control of its operating status (e.g., elevator speed) and working parameters (e.g., fan airflow) through data-driven methods. They serve as a direct visual platform for equipment management and production scheduling.

[0079] The underground mid-section realistic model focuses on the underground production environment. Through point cloud scanning and 3D reconstruction technology, it realistically reproduces the spatial structure and environmental conditions of key areas such as the underground mid-section, roadways, chambers, and mining areas. This model is deeply integrated with safety and production data, dynamically displaying equipment positioning, personnel distribution, and the evolution of safety risks (such as ground pressure) in the real space. Managers can intuitively view safety and production data for each area through the model, promptly identifying potential safety hazards and taking appropriate measures.

[0080] In addition to the two core modules mentioned above, other functional modules can be further expanded according to actual needs, such as personnel positioning modules and emergency command modules, to form a comprehensive and highly integrated mine management platform that provides all-round support and guarantee for the safe production and efficient operation of mines.

[0081] Optionally, based on digital twin technology, a comprehensive three-dimensional model of the mine is accurately mapped according to mine entity data, production monitoring data, and equipment parameter data to obtain a digital twin of the mine, including:

[0082] Based on the mine entity data, a digital twin mapping of the physical entities is performed on the comprehensive 3D model of the mine to obtain the object twin.

[0083] Based on production monitoring data, a digital twin mapping of the production process is performed on the comprehensive 3D model of the mine to obtain a production process twin.

[0084] Based on equipment parameter data, a digital twin mapping of performance parameters is performed on the comprehensive 3D model of the mine to obtain the equipment performance twin.

[0085] A digital twin of the mine is obtained based on the object twin, the production process twin, and the equipment performance twin.

[0086] In one feasible implementation, for object twins, detailed information such as the geometric dimensions and material properties of the physical entities in the mine is accurately collected and mapped into the physical model of the virtual model, ensuring that the virtual model is highly consistent with the physical entity in terms of form and characteristics. For process twins, dynamic data from mining and beneficiation processes in the mine are monitored in real time, such as equipment operation procedures and beneficiation workflows, and this data is synchronously mapped into the operational process of the virtual scene, achieving a virtual reproduction of the production process. For performance twins, performance parameters of the mine's production equipment and physical state information, such as temperature and pressure, are collected and mapped into the performance model of the virtual model, accurately reflecting the actual performance status of the physical space. Through these methods, a precise mapping is achieved between the physical space (covering the physical entities, physical states, production processes, and production equipment of the mine) and the virtual model (including the physical model, virtual states, virtual scene operational processes, and performance models). Dynamic linkage between real-time data and the visualization model is supported.

[0087] S4. Obtain platform design requirements; Based on subsystem archive data, design the graphical interface according to the platform design requirements to obtain the comprehensive management and control platform interface.

[0088] In one feasible implementation, based on the subsystem archive data and combined with the existing interfaces of various automated subsystems, a unified interface layout and design specification is formulated, including the interface's functional display, operation method, visual style, etc.

[0089] Establish a unified overall interface framework, such as the classic layout of a top navigation bar, left menu bar, main content area, and bottom status bar, or design other more suitable frameworks based on actual needs.

[0090] Define the display method for functional modules, such as using a unified combination of icons and text to represent different functions. Frequently used and important functions should be given more prominent display positions and visual effects. Logically divide the functional modules into hierarchical relationships, using methods such as collapsed menus and breadcrumb navigation to facilitate users' quick location and access to the functions they need.

[0091] Standardize all operation methods; for example, stipulate that all subsystem interfaces should support mouse clicks and keyboard shortcuts. Clearly define the feedback mechanism for operations, such as color changes after button clicks and the display of prompt messages, so that users can clearly understand whether the operation was successful.

[0092] Establish a unified color scheme, including a primary color, secondary colors, and accent colors. The primary color should reflect the overall style and brand image of the system, the secondary colors are used for matching and complementing, and the accent colors are used to highlight important information and operation buttons.

[0093] Specify the font type, size, and color to be used in the interface. The font should be highly readable and clearly displayed on different devices and resolutions. The font size should be appropriately set based on the importance of the information and the display area, ensuring that important information is highlighted and avoiding an overly cluttered interface. The font color should provide a strong contrast with the background color to improve readability.

[0094] Establish unified icon design standards, including icon size, style, and meaning. Icons should be simple and intuitive, accurately conveying their function or information. For icons with the same or similar functions, maintain a consistent design style to facilitate user recognition and memorization.

[0095] S5. Determine the subsystem access method based on the subsystem archive data; based on the subsystem access method and the interface of the integrated management and control platform, construct the integrated management and control platform according to the mine digital twin and the integrated management and control database;

[0096] In one feasible implementation, each subsystem to be connected is evaluated to determine the most suitable integration access method (component embedding, data interaction, or redevelopment).

[0097] The component-embedded access method is suitable for subsystems with modern technical architectures, providing standard web access points, and relatively independent functions. Specifically, it utilizes the component embedding capabilities provided by the platform's front-end (e.g., iframe encapsulation, component-based integration using Web Components, or a compliant micro-front-end architecture) to directly embed and render the subsystem's authorized web URL into a designated functional area (such as a tab or content window) of the platform's main interface. This method maximizes the preservation of the complete functionality and interaction logic of the atomic system, achieving rapid and low-intrusion integration.

[0098] Interactive data access is suitable for subsystems that cannot directly provide a user-friendly web interface but have data output capabilities (such as some client / server architecture systems). Specifically, the platform and subsystem interact via file transfer protocols (such as FTP) and database sharing. After acquiring the raw data, the platform does not directly embed it into the interface. Instead, it uses the platform's built-in data visualization engine (such as chart libraries and graphic components) to process, render, and present the data according to a unified interface design specification, thereby natively reconstructing the core functional interface of the subsystem within the platform.

[0099] The redevelopment-based access approach is suitable for subsystems with poor user experience, severely outdated technology, or those requiring deep business integration with other platform functions (such as 3D digital twin scenarios, unified alarm centers, and business process engines). The specific implementation involves a complete redesign and development of the front-end interface based on the interface layout and design specifications. The new interface obtains real-time data by calling the data interface APIs (such as RESTful APIs) provided by the atomic system backend and interacts with the core services of the integrated management platform for data exchange and business linkage, thereby achieving integration from the interface to the business logic. During the redevelopment process, rigorous testing is conducted, including functional testing and performance testing, to ensure that the new interface accurately displays subsystem data and implements relevant functions, and runs normally on different browsers or devices.

[0100] The integrated management and control platform includes a data acquisition layer, a network communication layer, and a station control and management layer.

[0101] In one feasible implementation, the integrated management and control platform is mainly divided into a data acquisition layer, a network communication layer, and a station control management layer to ensure the efficient operation and multi-source integration of the system.

[0102] The data acquisition layer forms the foundation of the integrated management and control platform. It primarily relies on the existing automated safety monitoring subsystems in the mine to perform real-time data monitoring and intelligent control, acquiring data from multiple systems. Through software upgrades and hardware additions, it achieves data sharing and centralized system control. This includes various subsystems such as personnel positioning, equipment monitoring, and environmental monitoring, providing real-time data to the management and control platform to strongly support intelligent scheduling and decision-making. Necessary equipment is added to ensure data integrity and real-time performance.

[0103] The network communication layer is the key channel connecting the station control management layer and the data acquisition layer. It mainly relies on the mine's existing industrial ring network and 5G network to build an efficient and stable data transmission network, realize high-speed data transmission, and ensure reliable transmission of multi-source system data in the data acquisition layer. It also utilizes the mine's existing industrial ring network to interconnect data between various production areas, ensuring the real-time performance and accuracy of the data.

[0104] The station control management layer primarily consists of servers, large display screens, and a developed control platform. This layer is used to build a comprehensive control database integrating multiple systems, and to operate and display the integrated control platform. High-performance, highly reliable server equipment is used to store and process real-time data from various subsystems, as well as to run various applications on the centralized control platform. A high-definition large display screen is provided to intuitively display all aspects of mine production, including equipment status, production progress, safety warnings, and other key information, allowing dispatchers to have a comprehensive understanding of the production situation. The developed control platform integrates functions such as safety monitoring, centralized production control, data display, alarm management, and remote control, enabling centralized monitoring and intelligent scheduling of the mine production process.

[0105] Through close collaboration at these three levels, comprehensive monitoring and intelligent scheduling of the mine production process are achieved, providing strong support for the safe production and efficient operation of the mine. The integrated management and control platform's technical architecture also possesses excellent scalability and flexibility, enabling it to adapt to the continuous development of future mine automation.

[0106] S6. Based on the integrated management and control platform, conduct a comprehensive analysis of mine safety production and obtain mine safety production status assessment results; based on the preset data standard template, encapsulate and process the multi-source system data of the integrated management and control database and the mine safety production status assessment results, and forward them through the network via a secure transmission channel.

[0107] In one feasible implementation, a data standard template library conforming to the requirements of the superior competent authority is constructed based on the data access specifications for underground metal and non-metal mines. This library supports dynamic configuration and mapping of standard formats. The data standard template library clearly defines data field types, lengths, etc. Considering that the superior standards may change, this module supports dynamic configuration. System administrators can quickly modify the data formats in the template library according to new requirements through a simple interface, such as adding or modifying data fields. Because the platform's internal data structure differs from the superior standards, the module provides a format mapping function, which can automatically convert the data in the platform's database into a data format conforming to the superior standards according to preset rules, ensuring accurate data mapping.

[0108] The required data is extracted from the integrated management and control database that integrates multiple systems, and the extracted data is encapsulated, encoded, and encrypted according to the data standard template.

[0109] By utilizing secure isolation devices or VPN technology, a secure transmission channel is established between the system and the superior monitoring platform, uploading required data automatically and on a scheduled basis. Secure isolation devices isolate internal and external networks, preventing unauthorized access; VPN technology establishes encrypted virtual channels over public networks, ensuring communication security. One or a combination of both can be flexibly selected. Secure isolation devices require access control policies; VPN technology requires configuration of server parameters and client settings to ensure channel reliability and stability. Through this secure channel, the system can automatically and on a scheduled basis to report data. Users can set the reporting interval and specific time points, such as reporting the previous day's data at 24:00 every day, and the system will automatically retrieve and report the encapsulated data on time.

[0110] Optionally, based on the integrated management and control platform, a comprehensive analysis of mine safety production is conducted to obtain mine safety production situation assessment results, including:

[0111] By reading production information through the integrated management and control platform, we can obtain energy supply data and safety risk event data for mine safety production.

[0112] Energy consumption reports are generated based on energy supply data and safety risk event data.

[0113] Based on preset historical energy consumption data, the energy consumption report is analyzed to obtain energy consumption trend analysis results;

[0114] Based on energy supply data and safety risk event data, a pre-trained machine learning algorithm is used to perform energy consumption-safety coupling analysis to obtain safety level evaluation results.

[0115] Based on the integrated management and control platform, a heat map of the security level is obtained by visualizing the security level evaluation results.

[0116] In one feasible implementation, based on a comprehensive management and control database integrating multiple systems, real-time and historical energy supply data covering the entire mining area with continuous timestamps for air supply, water supply, and power supply are obtained, as well as real-time and historical safety risk event data corresponding to the energy supply data obtained from the safety monitoring system.

[0117] Based on the various real-time and historical data collected by the data acquisition module, the system divides the data into different daily, monthly, and yearly time periods, statistically analyzes energy supply data (such as air supply, water supply, and power supply), and generates daily, monthly, and annual energy consumption statistical analysis reports.

[0118] Based on the energy consumption statistical analysis report, conduct year-on-year and month-on-month energy consumption analysis. Year-on-year analysis compares the real-time energy supply data of the current period with the historical energy supply data of the same period of the previous year, while month-on-month analysis compares the real-time energy supply data of the current period with the historical energy supply data of the previous adjacent period.

[0119] Machine learning algorithms are used for energy consumption-safety coupling analysis. A large amount of historical energy supply data and historical safety risk event data (such as equipment failure records, environmental over-limit alarms, safety accident reports, etc.) are analyzed in depth to obtain dynamic safety level evaluations for different areas of the mine. The safety level can be divided into three levels: high, medium and low, or more detailed classifications can be made according to actual needs. The machine learning algorithms used include, but are not limited to, neural networks, random forests, support vector machines, etc.

[0120] Based on the dynamic security level assessment results, the results are rendered and displayed in the form of a heatmap in a 3D visualization model. Different security levels correspond to different colors: high security level areas are displayed in green, medium security level areas in yellow, and low security level areas in red.

[0121] This invention proposes a method for constructing an intelligent management and control platform for mine safety production. By integrating and coordinating multiple systems, it resolves the problems of chaotic existing architecture and redundant functions, achieves information sharing and interaction among subsystems, breaks down data barriers, constructs an organic whole, significantly improves the overall guarantee capability of mine safety production, and lays a solid foundation for the safe and stable operation of mines.

[0122] The constructed data management system manages and displays massive amounts of monitoring data in an orderly manner and intuitively. Data integration and sharing eliminate data silos, enabling different data to be correlated and corroborated, providing comprehensive and accurate basis for mine safety production decisions, and helping to formulate scientific and reasonable production and safety plans;

[0123] Based on 3D digital twin technology, 2D planar monitoring is upgraded to 3D immersive monitoring. Real-time data is deeply integrated with 3D models, allowing managers to intuitively and realistically grasp complex underground information, effectively ensuring safe and efficient mine production, and opening a new monitoring mode.

[0124] Machine learning algorithms are used to move the safety management checkpoint forward and provide proactive early warnings, helping mining companies to prevent and reduce safety risks in a timely manner.

[0125] Built-in standard templates and secure transmission mechanisms ensure that reported data is formatted correctly, accurate, and meets superior requirements. A reliable channel is built using secure isolation devices and VPN technology to prevent data leakage and tampering, ensuring timely and accurate reporting by enterprises and assisting in supervision.

[0126] Figure 2 This is a block diagram of a device for constructing an intelligent management and control platform for mine safety production based on multi-system fusion, provided by an embodiment of the present invention. This device is used in a method for constructing an intelligent management and control platform for mine safety production based on multi-system fusion. (Refer to...) Figure 2 The device includes a data acquisition module 210, a database construction module 220, a digital twin module 230, an interface design module 240, a platform construction module 250, and a comprehensive analysis module 260. Among them:

[0127] The data acquisition module 210 is used to acquire subsystem archive data, drawing data, mine entity data, production monitoring data and equipment parameter data of the mine safety production system;

[0128] Database construction module 220 is used to build a comprehensive management and control database based on the data access specifications for sensing data in underground metal and non-metal mines and the data archives of subsystems.

[0129] The digital twin module 230 is used to conduct ground aerial surveys of mines using drones to obtain mine aerial survey data; based on digital twin technology, a mapping model is constructed according to the mine aerial survey data and drawing data to obtain a digital twin of the mine;

[0130] The interface design module 240 is used to obtain platform design requirements; based on subsystem archive data, it designs the graphical interface according to the platform design requirements to obtain the comprehensive management and control platform interface.

[0131] Platform construction module 250 is used to determine the subsystem access method based on the subsystem archive data; and to construct the comprehensive management and control platform based on the subsystem access method and the comprehensive management and control platform interface, according to the mine digital twin and the comprehensive management and control database.

[0132] The comprehensive analysis module 260 is used to conduct comprehensive analysis of mine safety production based on the comprehensive management and control platform, and obtain the mine safety production status assessment results. Based on the preset data standard template, it encapsulates and processes the multi-source system data of the comprehensive management and control database and the mine safety production status assessment results, and forwards them through the network via a secure transmission channel.

[0133] Among them, subsystem archive data refers to the archive data corresponding to each system in the mine safety production system;

[0134] The subsystem archive data includes the developer, function description, equipment list, communication protocol type, and interface type;

[0135] The subsystem types of the subsystem archive data include environmental monitoring systems, production operation systems, personnel positioning systems, and video surveillance systems.

[0136] Optionally, the database building module 220 is further used for:

[0137] Based on the data access standard for underground metal and non-metal mines, the data is converted using a unified protocol through a smart gateway, according to the data in the subsystem archives.

[0138] Based on the converted archive data, edge computing methods are used for preprocessing to obtain processed archive data.

[0139] Based on a preset IP address range, a comprehensive management and control database is constructed according to the processed archive data.

[0140] Optionally, the digital twin module 230 is further used for:

[0141] Based on aerial survey data and drawings of the mine, 3D MAX was used for visualization modeling to obtain a comprehensive 3D model of the mine. The comprehensive 3D model of the mine includes a 3D real-scene model of the surface, a detailed model of the production equipment, and a real-scene model of the underground middle section.

[0142] Based on digital twin technology, a comprehensive three-dimensional model of the mine is accurately mapped according to the mine entity data, production monitoring data, and equipment parameter data to obtain a digital twin of the mine.

[0143] Optionally, the digital twin module 230 is further used for:

[0144] Based on the mine entity data, a digital twin mapping of the physical entities is performed on the comprehensive 3D model of the mine to obtain the object twin.

[0145] Based on production monitoring data, a digital twin mapping of the production process is performed on the comprehensive 3D model of the mine to obtain a production process twin.

[0146] Based on equipment parameter data, a digital twin mapping of performance parameters is performed on the comprehensive 3D model of the mine to obtain the equipment performance twin.

[0147] A digital twin of the mine is obtained based on the object twin, the production process twin, and the equipment performance twin.

[0148] The integrated management and control platform includes a data acquisition layer, a network communication layer, and a station control and management layer.

[0149] Optionally, the comprehensive analysis module 260 is further used for:

[0150] By reading production information through the integrated management and control platform, we can obtain energy supply data and safety risk event data for mine safety production.

[0151] Energy consumption reports are generated based on energy supply data and safety risk event data.

[0152] Based on preset historical energy consumption data, the energy consumption report is analyzed to obtain energy consumption trend analysis results;

[0153] Based on energy supply data and safety risk event data, a pre-trained machine learning algorithm is used to perform energy consumption-safety coupling analysis to obtain safety level evaluation results.

[0154] Based on the integrated management and control platform, a heat map of the security level is obtained by visualizing the security level evaluation results.

[0155] This invention proposes a method for constructing an intelligent management and control platform for mine safety production. By integrating and coordinating multiple systems, it resolves the problems of chaotic existing architecture and redundant functions, achieves information sharing and interaction among subsystems, breaks down data barriers, constructs an organic whole, significantly improves the overall guarantee capability of mine safety production, and lays a solid foundation for the safe and stable operation of mines.

[0156] The constructed data management system manages and displays massive amounts of monitoring data in an orderly manner and intuitively. Data integration and sharing eliminate data silos, enabling different data to be correlated and corroborated, providing comprehensive and accurate basis for mine safety production decisions, and helping to formulate scientific and reasonable production and safety plans;

[0157] Based on 3D digital twin technology, 2D planar monitoring is upgraded to 3D immersive monitoring. Real-time data is deeply integrated with 3D models, allowing managers to intuitively and realistically grasp complex underground information, effectively ensuring safe and efficient mine production, and opening a new monitoring mode.

[0158] Machine learning algorithms are used to move the safety management checkpoint forward and provide proactive early warnings, helping mining companies to prevent and reduce safety risks in a timely manner.

[0159] Built-in standard templates and secure transmission mechanisms ensure that reported data is formatted correctly, accurate, and meets superior requirements. A reliable channel is built using secure isolation devices and VPN technology to prevent data leakage and tampering, ensuring timely and accurate reporting by enterprises and assisting in supervision.

[0160] Figure 3 This is a structural schematic diagram of a mine safety production intelligent management and control platform construction device provided in an embodiment of the present invention, as shown below. Figure 3 As shown, the equipment for building an intelligent management and control platform for mine safety production may include the above-mentioned... Figure 2 The illustrated device is a construction apparatus for an intelligent management and control platform for mine safety production based on multi-system integration. Optionally, the intelligent management and control platform construction device 310 for mine safety production may include a first processor 2001.

[0161] Optionally, the intelligent management and control platform construction equipment 310 for mine safety production may also include a memory 2002 and a transceiver 2003.

[0162] The first processor 2001, memory 2002, and transceiver 2003 can be connected via a communication bus.

[0163] The following is combined Figure 3 A detailed introduction to each component of the 310 intelligent management and control platform for mine safety production is provided below:

[0164] The first processor 2001 is the control center of the intelligent management and control platform construction equipment 310 for mine safety production. It can be a single processor or a collective term for multiple processing elements. For example, the first processor 2001 can be one or more central processing units (CPUs), application-specific integrated circuits (ASICs), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).

[0165] Optionally, the first processor 2001 can execute various functions of the intelligent control platform construction device 310 for mine safety production by running or executing software programs stored in the memory 2002 and calling data stored in the memory 2002.

[0166] In a specific implementation, as one example, the first processor 2001 may include one or more CPUs, for example... Figure 3 CPU0 and CPU1 are shown in the diagram.

[0167] In a specific implementation, as one example, the intelligent management and control platform construction device 310 for mine safety production may also include multiple processors, for example... Figure 3The first processor 2001 and the second processor 2004 are shown in the diagram. Each of these processors can be a single-core processor or a multi-core processor. Here, a processor can refer to one or more devices, circuits, and / or processing cores used to process data (such as computer program instructions).

[0168] The memory 2002 is used to store the software program that executes the present invention, and is controlled by the first processor 2001 to execute it. The specific implementation method can be referred to the above method embodiment, and will not be repeated here.

[0169] Optionally, the memory 2002 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory 2002 may be integrated with the first processor 2001 or exist independently, and its interface circuit for device 310 may be constructed through the intelligent control platform for mine safety production. Figure 3 (Not shown in the image) is coupled to the first processor 2001, and this embodiment of the invention does not specifically limit this.

[0170] The transceiver 2003 is used to communicate with network devices or with terminal devices.

[0171] Alternatively, transceiver 2003 may include a receiver and a transmitter. Figure 3 (Not shown separately). The receiver is used to implement the receiving function, and the transmitter is used to implement the transmitting function.

[0172] Optionally, the transceiver 2003 can be integrated with the first processor 2001, or it can exist independently, and the interface circuit of the device 310 can be constructed through the intelligent management and control platform for mine safety production. Figure 3 (Not shown in the image) is coupled to the first processor 2001, and this embodiment of the invention does not specifically limit this.

[0173] It should be noted that, Figure 3 The structure of the intelligent management and control platform construction equipment 310 shown in the figure does not constitute a limitation on the router. The actual intelligent management and control platform construction equipment for mine safety production may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0174] Furthermore, the technical effects of the intelligent management and control platform construction equipment 310 for mine safety production can be referred to the technical effects of the intelligent management and control platform construction method for mine safety production based on multi-system integration described in the above method embodiments, and will not be repeated here.

[0175] It should be understood that the first processor 2001 in the embodiments of the present invention may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or it may be any conventional processor, etc.

[0176] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0177] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0178] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0179] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0180] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0181] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0182] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0183] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0184] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0185] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0186] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0187] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for constructing an intelligent management and control platform for mine safety production based on multi-system integration, characterized in that, The method includes: Acquire subsystem archive data, drawing data, mine entity data, production monitoring data, and equipment parameter data of the mine safety production system; Based on the data access specifications for underground metal and non-metal mines, a comprehensive management and control database is constructed according to the data archives of subsystems. Using drones, ground aerial surveys are conducted on the mine to obtain mine aerial survey data; based on digital twin technology, a mapping model is constructed according to the mine aerial survey data and map data to obtain a digital twin of the mine; Obtain platform design requirements; based on subsystem archive data, design the graphical interface according to the platform design requirements to obtain the comprehensive management and control platform interface; The subsystem access method is determined based on the subsystem archive data; based on the subsystem access method and the interface of the integrated management and control platform, the integrated management and control platform is constructed according to the mine digital twin and the integrated management and control database; Based on the integrated management and control platform, a comprehensive analysis of mine safety production is conducted to obtain mine safety production status assessment results. Based on the preset data standard template, the multi-source system data of the integrated management and control database and the mine safety production status assessment results are packaged and processed, and then forwarded through a secure transmission channel.

2. The method for constructing a mine safety production intelligent management and control platform based on multi-system integration as described in claim 1, characterized in that, The subsystem archive data refers to the archive data corresponding to each system in the mine safety production system; The subsystem archive data includes the developer, function description, equipment list, communication protocol type, and interface type; The subsystem types of the subsystem archive data include environmental monitoring systems, production operation systems, personnel positioning systems, and video surveillance systems.

3. The method for constructing a mine safety production intelligent management and control platform based on multi-system integration as described in claim 1, characterized in that, The aforementioned data access standard for underground metal and non-metal mine sensing involves constructing a comprehensive management and control database based on subsystem archive data, including: Based on the data access standard for underground metal and non-metal mines, the data is converted using a unified protocol through a smart gateway, according to the data in the subsystem archives. Based on the converted archive data, edge computing methods are used for preprocessing to obtain processed archive data. Based on a preset IP address range, a comprehensive management and control database is constructed according to the processed archive data.

4. The method for constructing a mine safety production intelligent management and control platform based on multi-system integration as described in claim 1, characterized in that, The process, based on digital twin technology, involves constructing a mapping model using aerial survey data and map data to obtain a digital twin of the mine, including: Based on aerial survey data and drawings of the mine, 3D MAX was used for visualization modeling to obtain a comprehensive 3D model of the mine; the comprehensive 3D model of the mine includes a 3D real-scene model of the surface, a detailed model of the production equipment, and a real-scene model of the underground middle section; Based on digital twin technology, a comprehensive three-dimensional model of the mine is accurately mapped according to the mine entity data, production monitoring data, and equipment parameter data to obtain a digital twin of the mine.

5. The method for constructing a mine safety production intelligent control platform based on multi-system integration as described in claim 4, characterized in that, The process, based on digital twin technology, involves accurately mapping a comprehensive three-dimensional model of the mine using mine entity data, production monitoring data, and equipment parameter data to obtain a digital twin of the mine. This includes: Based on the mine entity data, a digital twin mapping of the physical entities is performed on the comprehensive 3D model of the mine to obtain the object twin. Based on production monitoring data, a digital twin mapping of the production process is performed on the comprehensive 3D model of the mine to obtain a production process twin. Based on equipment parameter data, a digital twin mapping of performance parameters is performed on the comprehensive 3D model of the mine to obtain the equipment performance twin. A digital twin of the mine is obtained based on the object twin, the production process twin, and the equipment performance twin.

6. The method for constructing a mine safety production intelligent management and control platform based on multi-system integration as described in claim 1, characterized in that, The integrated management and control platform includes a data acquisition layer, a network communication layer, and a station control and management layer.

7. The method for constructing a mine safety production intelligent management and control platform based on multi-system integration as described in claim 1, characterized in that, The aforementioned comprehensive analysis of mine safety production based on the integrated management and control platform yields mine safety production situation assessment results, including: By reading production information through the integrated management and control platform, we can obtain energy supply data and safety risk event data for mine safety production; Energy consumption reports are generated based on energy supply data and safety risk event data. Based on preset historical energy consumption data, the energy consumption report is analyzed to obtain energy consumption trend analysis results; Based on energy supply data and safety risk event data, a pre-trained machine learning algorithm is used to perform energy consumption-safety coupling analysis to obtain safety level evaluation results. Based on the integrated management and control platform, a heat map of the security level is obtained by visualizing the security level evaluation results.

8. A device for constructing an intelligent management and control platform for mine safety production based on multi-system integration, wherein the device is used to implement the method for constructing an intelligent management and control platform for mine safety production based on multi-system integration as described in any one of claims 1-7, characterized in that, The device includes: The data acquisition module is used to acquire subsystem archive data, drawing data, mine entity data, production monitoring data, and equipment parameter data of the mine safety production system; The database construction module is used to build a comprehensive management and control database based on the data access specifications for sensing data in underground metal and non-metal mines and the archive data of subsystems. The digital twin module is used to conduct ground aerial surveys of mines using drones to obtain mine aerial survey data; based on digital twin technology, a mapping model is constructed according to the mine aerial survey data and map data to obtain a digital twin of the mine; The interface design module is used to obtain platform design requirements; based on subsystem archive data, it designs the graphical interface according to the platform design requirements to obtain the comprehensive management and control platform interface. The platform construction module is used to determine the subsystem access method based on the subsystem archive data; based on the subsystem access method and the integrated management and control platform interface, the integrated management and control platform is constructed according to the mine digital twin and the integrated management and control database. The comprehensive analysis module is used to conduct comprehensive analysis of mine safety production based on the comprehensive management and control platform, and obtain mine safety production status assessment results. Based on the preset data standard template, it encapsulates and processes multi-source system data and mine safety production status assessment results from the comprehensive management and control database, and forwards them through a secure transmission channel.

9. A device for constructing an intelligent management and control platform for mine safety production, characterized in that, The equipment used to build the intelligent management and control platform for mine safety production includes: processor; A memory storing computer-readable instructions that, when executed by the processor, implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium contains program code that can be invoked by a processor to execute the method as described in any one of claims 1 to 7.

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