Safe planning and mining system based on geological protection system

Abstract

This invention discloses a safe planning and mining system based on a geological assurance system, including a mine geological acquisition module, a panel planning module, a digital mining module, a statistical analysis module, and a display module. The geological assurance and safe planning and mining system provided by this invention is based on the acquisition of multi-source heterogeneous data from a multi-protocol, full-production system. It performs spatiotemporal transformation on the acquired data, matching the data along the time and spatial axes. Combined with digital twin technology, it achieves holographic digitalization of production. Based on geologically relevant information, including hydrological, gas, and fault distribution, panel planning, production system continuity overview, and production service capabilities, it completes mining planning through edge computing, big data, and combined with the actual mining conditions of the working face. Based on the mining plan, it controls the operating status of relevant equipment, thereby guiding production and significantly improving production quality, collaborative environment, and safety assurance.

Description

Technical Field

[0001] This invention belongs to the field of coal mining technology, specifically relating to a safe planning and mining system based on a geological support system. Background Technology

[0002] While the intelligentization of the coal mining industry has yielded some results after years of practice, it is still in the initial exploratory stage. Currently, intelligent mining methods consider only a narrow range of issues, remaining largely focused on traditional electromechanical equipment and other conventional approaches. They haven't broken free from the scope of automated mining, and the guiding factors are still quite conventional.

[0003] Coal geology is a fundamental task that plays a vital role in the entire life cycle of a mine. Geological support technology can effectively combine geological exploration results with the impact of geological factors and panel division on production, thereby reducing uncertainty, ensuring optimal production, and improving continuity efficiency.

[0004] Furthermore, coal mining is inextricably linked to safe production, with geological conditions accounting for approximately 90% of all accidents during coal mine production.

[0005] However, in actual production processes, coal mine mining plans often fail to consider geological conditions and focus solely on the operation of traditional electromechanical equipment. When mining is carried out according to these plans, geological conditions may prevent the plans from being implemented smoothly, thus affecting the mining progress. Summary of the Invention

[0006] This invention provides a safe planning and mining system based on a geological assurance system, which utilizes factors such as mine geology and load conditions to plan mining operations, thereby improving production efficiency and safety.

[0007] To achieve the above objectives, the safe planning and mining system based on a geological support system of the present invention includes a mine geological acquisition module, a panel planning module, a digital mining module, a statistical analysis module, and a display module; the output terminals of the mine geological acquisition module and the panel planning module are connected to the input terminal of the digital mining module, the output terminal of the digital mining module is connected to the input terminal of the statistical analysis module, and the output terminals of the mine geological acquisition module, the panel planning module, the digital mining module, and the statistical analysis module are all connected to the display module;

[0008] The mine geological acquisition module is used to collect mine geological information and transmit it to the panel planning module, digital mining module, statistical analysis module and display module;

[0009] The panel planning module is used to plan water supply, power supply, transportation, ventilation and personnel work in the panel area based on the mine geological information and the operation information of each system in the panel area;

[0010] The digital mining module is used to obtain future cutting plans based on mine geological information and panel planning.

[0011] The statistical analysis module is used to collect and analyze production status information, operating data, and planning curves.

[0012] The display module is used to display the information obtained by the above module.

[0013] Furthermore, the mine geological acquisition module includes: a geological acquisition module for acquiring geological overview and coal and rock structure; a production system information acquisition module for acquiring production overview and system status; and a disaster management information acquisition module for acquiring disaster distribution information, gas occurrence information, hydrological conditions, and mine pressure.

[0014] Furthermore, the panel planning module includes: a water, electricity, transportation, ventilation, and personnel information collection module, used to collect information on the main transportation system, ventilation system, precise personnel positioning, and water and power supply; and a work face information collection module, used to collect panel connection information and work face information.

[0015] Furthermore, the digital mining module includes: a working face information acquisition module, used to collect working modes, equipment capabilities, and environmental parameters; a planning and iteration module, used to plan future cutting operations and perform multi-data fusion iteration; and a system operation status acquisition module, used to collect real-time data, planning data, perform load statistics, and collect stage operating condition parameters.

[0016] Furthermore, the process of planning the future cutter is as follows: by analyzing the mining height, undercutting height and changes of the coal mining machine over a period of time and within a spatial range, the coal seam trend is obtained; by combining the coal seam trend and the algorithm, the trend calculation results are obtained to predict future coal seam changes; the height parameters of the future cutter are planned based on the predicted changes; cutting is carried out according to the parameters, and the data is continuously compared with real-time data for dynamic verification and correction.

[0017] Furthermore, the multi-data fusion iteration process is as follows: environmental and equipment parameters of the working face are acquired through environmental and equipment data acquisition devices and sensors; the impact of each parameter value and its changes on the operating speed and speed changes of the coal mining machine is calculated through a multi-data fusion algorithm, and the weights of each parameter are continuously adjusted; the operating speed of the coal mining machine is calculated by combining the algorithm and the weights of the parameters to obtain the planned operating speed; the planned operating speed and the actual operating speed are compared to adjust the multi-data fusion algorithm.

[0018] Furthermore, the statistical analysis module includes: a production status information acquisition module, used to collect equipment running time, overall uptime, and environmental parameters; an operating condition data acquisition module, used to collect load balancing speed regulation and production continuity; and a mining planning curve generation module, used to generate planning curves and geological curves.

[0019] Furthermore, the working condition data acquisition module divides a region into multiple zones based on the conditions of the top and bottom plates of the working face and the working conditions of the equipment. In each zone, the safe mining efficiency is evaluated based on the conditions of the top and bottom plates, the inclination angle, the pressure, the speed of the coal mining machine, the equipment integrity rate, the efficiency of a single support frame, and the advancement of the hydraulic support.

[0020] Furthermore, the display module recreates the scene within a virtual environment constructed using a digital twin.

[0021] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0022] The geological safety planning and mining system provided by this invention is based on the acquisition of multi-source heterogeneous data from a multi-protocol, full-production system. It performs spatiotemporal transformation on the acquired data, matching the data along the time and spatial axes. Combined with digital twin technology, it achieves holographic digitalization of production. Based on geologically relevant information, including hydrological, gas, and fault distribution, panel planning, production system continuity overview, and production service capabilities, it completes mining planning through edge computing, big data, and the actual mining conditions of the working face. The system controls the operation of relevant equipment according to the mining plan, thereby guiding production and significantly improving production quality, collaborative environment, and safety assurance.

[0023] Furthermore, the statistical analysis module determines whether there are safety hazards at the working face based on collected environmental information, such as methane content in the air, mine pressure, and ventilation. If there are safety hazards, the module displays the area with safety hazards in the display module and issues an alarm signal to ensure safety.

[0024] This invention uses microservices as a carrier to provide multiple service models, including machine learning algorithm models, planning and mining models, geophysical models, and a series of services such as production management, business management, operation management, development management, log management, and interface management. Attached Figure Description

[0025] Figure 1 This is a schematic diagram of the system modules. Detailed Implementation

[0026] To make the objectives and technical solutions of this invention clearer and easier to understand, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0027] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more. In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0028] This system employs multi-source information aggregation, integration, and fusion processing technologies as well as data mining techniques. Through unified network integration, it achieves information sharing and function sharing, thereby improving production efficiency and safety.

[0029] Reference Figure 1 The safety planning and mining system based on the geological support system includes a mine geological acquisition module, a panel planning module, a digital mining module, a statistical analysis module, and a display module.

[0030] The outputs of the mine geological acquisition module and the panel planning module are connected to the inputs of the digital mining module and the statistical analysis module. The output of the digital mining module is connected to the input of the statistical analysis module. The outputs of the mine geological acquisition module, the panel planning module, the digital mining module, and the statistical analysis module are all connected to the display module.

[0031] 1. The mine geological acquisition module is used to collect mine geological information. The mine geological acquisition module includes a geological information acquisition module, a production system information acquisition module, and a disaster management information acquisition module.

[0032] 1.1 Geological data acquisition module, used to acquire geological overview and coal and rock structure.

[0033] 1) Geological Overview

[0034] The geological overview provides a general description of the mine's location, including its area, mine type, mining depth, overall panel planning (the purpose of overall panel planning is to divide the mining area into different panels, and the research object is the entire mining area), number of panels, production capacity, and other relevant data. It also provides a detailed breakdown of the geological structure, enabling users to clearly understand important information such as faults, dip angles, and coal thickness within the strata.

[0035] 2) Coal and rock structure

[0036] The coal and rock structure not only shows the overall situation of the panel division through fault information, but also analyzes the distribution of rock strata of the bottom plate, pseudo-roof, immediate roof and old roof of the coal seam from the geological top and bottom plate level.

[0037] 1.2 Production system information acquisition module, used to collect production overview and system status.

[0038] 3) Production Overview

[0039] The production overview provides a comprehensive view of the current operation of the mine's ventilation, transportation, power and water supply equipment, as well as the distribution of personnel underground, and the progress of production in the fully mechanized mining and tunneling faces.

[0040] 4) System Status

[0041] The system status includes the operating status of the ventilation system (operating or stopped, total air volume of all fans in the mine), the operating status of the main transportation system (operating or stopped, total transport volume of the current transportation system in the mine), the operating status of the pump room (operating or stopped, total flow rate of all pumps in the mine), and the operating status of the power supply system (operating or stopped, total power supply of the current power supply facilities in the mine); the daily operating rate of the main transportation system in the past week; and the number of personnel, progress, remaining progress, and daily progress of each mining face and tunneling face in the mine.

[0042] 1.3 Disaster Management Information Collection Module, used to collect disaster distribution information, gas occurrence information, hydrological conditions and mine pressure.

[0043] 5) Disaster distribution information includes hydrology (nearby rock columns, distribution location, unit water inflow, permeability coefficient), gas (cut-out length, absolute gas outflow, relative gas outflow, raw coal gas outflow), and faults (fault displacement, fault zone width, fault rock columns).

[0044] 6) Gas occurrence information

[0045] The distribution of gas and hydrology in mines is also crucial geological data. The system classifies the gas levels of mines based on gas content detection information.

[0046] 7) Hydrological conditions

[0047] The analysis of hydrological information leads to the definition of hydrogeological types.

[0048] 8) Mine pressure monitoring

[0049] The system displays the stress changes monitored throughout the entire mining area using a heat map, which provides the most intuitive view of stress changes and distribution.

[0050] 2. The panel planning module studies the planning of water, electricity, transportation, ventilation, and personnel within a single panel area. This module includes modules for collecting information on water, electricity, transportation, ventilation, and personnel, as well as modules for collecting information on the panel area and working face.

[0051] 2.1 The water, electricity, transportation, ventilation, and personnel information collection module is used to collect information from the main transportation system, ventilation system, precise personnel positioning, and water and electricity supply information.

[0052] 9) Main transportation system information within a single area

[0053] The main transport system information reflects the entire process of coal flow from the working face, through the roadway belt, panel belt, main transport belt, all the way to the ground coal bunker, as well as the operating speed and capacity of each level of belt conveyor and the storage status of the coal bunker, etc.

[0054] 10) Ventilation system information within a single panel

[0055] The ventilation system primarily monitors key data such as panel airflow, fan speed, system pressure, and air resistance. The significance of the ventilation system lies in supplying fresh air underground, reducing the presence of toxic gases and dust, and regulating the underground climate to create a favorable working environment.

[0056] 11) Precise personnel positioning within a single trading area

[0057] The personnel location information is collected by identifying the identification cards carried by the staff through the underground personnel positioning base station.

[0058] 12) Liquid supply and power supply system within a single panel

[0059] The fluid supply system primarily demonstrates the operational status of pump stations at each level throughout the entire process from the surface pump house to the working face pump station. The power supply system monitors the opening and closing status, voltage, and current conditions throughout the entire process from the surface substation to the underground power distribution station, then to the working face transformer, and finally to the working face equipment.

[0060] 2.2 The working face information acquisition module is used to collect panel connection information and working face information.

[0061] 13) The data collection for the panel's continuity includes three categories: mining, tunneling, and disaster management. These categories have a sequential relationship, therefore, the schedule needs to be planned based on the status of each category to achieve a good production continuity effect.

[0062] The working face is classified into four types: completed mining, mining underway, tunneling underway, and disaster management underway.

[0063] 14) Working face information includes the geological conditions of the top and bottom plates of the current mining face and the surrounding rock strata, slice number, number of cutters, advance rate, number of workers on the working face, coal mining machine speed, advance mileage, roof height, and floor height; the advance and number of workers on the tunneling face.

[0064] 3. Digital mining module, including a working face information acquisition module, a planning and iteration module, and a system operation status acquisition module.

[0065] 3.1 The working face information acquisition module is used to collect information on working mode, equipment capacity, and environmental parameters.

[0066] 15) Operating modes include: coal mining machine planning mode: remote / local; remote intervention mode: automatic / manual; equipment control mode for the fluid supply system (pump station): centralized control / local control / under maintenance; equipment control mode for the transportation system (transport machines and belt conveyors): centralized control / local control / under maintenance. Also, the above three systems are in manual operation / locked / interlocked with other systems.

[0067] 16) Equipment capacity includes the uptime of the coal mining machine, water pump, liquid pump, and conveyor, as well as equipment response delay and communication signal connectivity.

[0068] 17) Real-time environmental parameters include the average coal seam thickness and recoverable reserves of the current working face; current advance rate (head advance rate and tail advance rate), water supply pressure, air volume, gas concentration, dust concentration, hydrogen sulfide concentration, current shift (morning shift / middle shift / night shift), and number of workers at the current working face;

[0069] 3.2 The planning and iteration module is used for future planning and performs multi-data fusion iteration.

[0070] 18) The process of planning the future knife is as follows:

[0071] 1. First, obtain the coal seam trend by analyzing the mining height, bottom cutting height and changes of the coal mining machine within a certain period and spatial range; 2. Combine the coal seam trend with the algorithm to calculate the trend and predict future coal seam changes; 3. Plan the future cutter height parameters based on the predicted changes; 4. Perform cutting according to the parameters and continuously compare with real-time data for dynamic verification and correction.

[0072] 19) The process of multi-data fusion and iteration is as follows:

[0073] 1. Acquire working face environment and equipment parameters through environmental and equipment data acquisition devices and sensors; 2. Calculate the impact of each parameter value and its changes on the operating speed and speed changes of the coal mining machine through a multi-data fusion algorithm, and continuously adjust the weight of each parameter; 3. Combine the algorithm and parameter weights to calculate the operating speed of the coal mining machine and obtain the planned operating speed; 4. Compare the planned operating speed with the actual operating speed and adjust the multi-data fusion algorithm accordingly.

[0074] 3.3 The system operation status acquisition module is used to collect real-time data, planning data, perform load statistics, and collect phased operating parameters.

[0075] 20) Real-time data includes:

[0076] (1) The current operating status of the coal mining machine, including the coal mining machine stage, operating mode (manual / planned), left and right drum cutting temperature, left and right drum cutting current value, left and right traction current value, coal mining machine speed and direction, gas concentration near the coal mining machine, coal mining machine position in meters, current advance rate, actual mining height, planned cutting curve of the coal mining machine, planned speed curve, actual mining height bottom curve, and current process section number;

[0077] (2) Pressure value, stroke, height, end face distance, front column and rear column pressure value, and inclination angle of each hydraulic support; straightness curve of the hydraulic support at the working face (including outline and straight line); execution status of push-pull frame action and side protection extension and retraction action performed by the hydraulic supports near the coal mining machine;

[0078] (3) Control mode (local / centralized control / maintenance) and working status (power on / communication interruption / running) of the transportation system; temperature and current values ​​of the three transport machines and belts; current coal flow rate; belt running speed; load percentage of the three transport machines; radar coordinates and location (latitude and longitude); lubricating oil level, cooling water pressure, lubricating oil temperature, and cooling water temperature change curves of the reducer of the three transport machines; current change curves of the three transport machines.

[0079] (4) Control mode (local / centralized / maintenance), working status (power on / communication interruption / running), inlet and outlet pressure change curves, liquid level status (concentration and level of the liquid distribution station, concentration and level of the liquid tank, water level of the water tank) of the liquid supply system (pump station); start and stop status, temperature, current value, and liquid supply pressure of each pump; data monitoring of each water pump and liquid pump (real-time current and temperature).

[0080] (5) Power supply system: the opening and closing status of each mobile transformer, whether it is operating normally, and the connected equipment; the opening and closing status of each combination switch, whether it is operating normally, the connected equipment, and the voltage and current values.

[0081] 21) The planning data includes the coal mining machine reversal point, the planned mining height bottom elevation curve, and the hydraulic support inertial navigation straightening curve.

[0082] 22) Load statistics:

[0083] This tool is used to perform load statistics based on the current and past periods of coal mining machine drum load, traction load; current support force load of hydraulic supports; transport volume load of the transport system; pressure load provided by the fluid supply system; and current load supplied by the power supply system.

[0084] 23) Stage operating parameters include the operating data of each piece of equipment during each stage of the coal mining machine's cutting process. Each piece of equipment includes the coal mining machine, hydraulic support, transportation system, fluid supply system, and power supply system.

[0085] 4. The statistical analysis module includes a production status information acquisition module, a working condition data acquisition module, and a mining planning curve generation module.

[0086] 4.1 The production status information acquisition module is used to collect equipment runtime, overall uptime, and environmental parameters.

[0087] 24) Equipment runtime includes the runtime of coal mining machines, crushers, scraper conveyors, transfer conveyors, belt conveyors, hydraulic pumps, and water pumps over a period of time. The runtime includes normal operating time, high-speed operating time, and low-speed operating time.

[0088] 25) Overall operating rate: The operating rate of coal mining machine, water pump, liquid pump and conveyor over a period of time.

[0089] 26) Environmental parameters: Changes in total air volume, working face air volume, dust concentration, and gas concentration in the mining area over the past 30 minutes (and plot the curves), and the impact of these four values ​​on the speed of the coal mining machine, and plot the coal mining machine speed curve. This item shows the changes in the four parameters over the past 30 minutes, reflecting the impact of these four data on the operation of the coal mining machine.

[0090] 4.2 The operating condition data acquisition module is used to collect data on load balancing, speed regulation, and production continuity.

[0091] 27) Load balance speed regulation: the operating speed of the coal mining machine, the inclination angle of the hydraulic support, the pressure value, the support movement, and the height of the top and bottom plates within a certain area of ​​the working face.

[0092] 28) Production continuity: The impact of the coal mining machine's status and support actions in the current area on the coal mining machine's speed and support actions in subsequent areas.

[0093] 4.3 The mining planning curve generation module is used to generate planning curves and geological curves.

[0094] 29) Planning Curve

[0095] Coal mining machine planning: Based on the previous cutting height and bottom data of the coal mining machine, the cutting height and bottom curve of the subsequent three-cut cutting is planned; Hydraulic support planning: Based on the current and previous stroke curves of the hydraulic support of the working face, the stroke curve of the subsequent slicing is planned.

[0096] 30) Geological curves

[0097] Based on the geological overview and coal and rock structure, draw geological curves.

[0098] The production analysis function of the working condition data acquisition module is to comprehensively judge the operating status of each piece of equipment based on various data accessed by the system, and to plan and design each production link. It also divides the production working face into zones and makes separate plans based on the geological and working condition characteristics of each zone, thereby significantly improving production efficiency from every detail.

[0099] Based on the conditions of the top and bottom plates of the working face and the operating conditions of the equipment, a section of the area is divided into multiple zones. Each zone is evaluated for safe mining efficiency based on factors such as the conditions of the top and bottom plates, dip angle, pressure, coal mining machine speed, equipment integrity rate, single-frame traction efficiency, and hydraulic support advancement. This provides a clear picture of the regional condition of a working face and guides the planning and switching of mining processes.

[0100] Based on multi-source heterogeneous geological and geological occurrence data models, multi-information fusion panel production models, key tunneling face models, and key working face mining models, including models of mined areas and equipment lifecycle operation models, big data analytics is used to conduct in-depth analysis and mining of multiple models, establishing a data sample library. The system automatically iterates and upgrades the historical sample library based on real-time data, completing the planned mining model for the next 3-10 cuts, as well as the working face straightness calibration model. Control algorithms guide the coal mining machine's planning and mining, and ensure the hydraulic supports are straightened.

[0101] The data in the established data sample library includes the mining depth and rate of change over a period of time and distance, the load and rate of change of the coal mining drum, the traction load and rate of change of the coal mining machine, the height, inclination angle, pressure and rate of change of the hydraulic support, the load and speed of the transportation system, and the trend of coal seam and rock strata height changes.

[0102] Statistical analysis is performed on the operating efficiency and capacity of the equipment, the load conditions of the equipment, and the impact of key environmental factors on the uptime and production speed. The analysis results are then presented in a visually intuitive manner, such as using charts.

[0103] 5. The display module is used to display:

[0104] 1. Model Display

[0105] The modeling module reconstructs a mine structure distribution model based on the mine's geological information. The model includes the distribution of geological strata and the distribution of roadways in the mining panels, forming a transparent, full-mine distribution map. This map visually displays the various data described above. Finally, it summarizes various geological and mining information and compares the mine's disaster management situation.

[0106] 2. Scene demonstrations, including working face scene, planned mining scene, electro-hydraulic control planning scene, three-machine transportation scene, liquid supply system scene, and power supply system scene.

[0107] The digital mining system, based on acquired multi-source data, recreates the underground production scene 1:1 from multiple perspectives, including panoramic working face, planned mining, electro-hydraulic control and straightening, three-machine transportation, and fluid and power supply. Simultaneously, it virtualizes and integrates acquired geological support data and production planning data into the scene, achieving intelligent planning through a digital twin scenario. The multi-source data includes geological data, panel division and production data, and real-time and historical operating condition data of the working face environment and equipment.

[0108] A panoramic digital twin model of the working face, including coal mining machines, hydraulic supports, transportation systems, water and power supply, etc., is constructed to form a highly realistic 3D mirror scene of the coal mining working face with data visualization, strong human-machine interaction, and process self-optimization, completing the three-way interaction between the physical working face, the digital working face, and data information. Through virtual-real interaction feedback, data fusion analysis, and iterative decision optimization, more real-time, efficient, and intelligent production services are provided to the physical entity. The dynamically feedback digital working face mirror, based on the perceived data of equipment operation, realistically simulates the actual coal mining conditions with a digitally mapped intelligent mining working face.

[0109] The virtual-real interaction feedback is realized by the digital twin under the display module. First, sensors installed on the hardware device collect data and transmit it to the system. Then, it is reproduced in the virtual scene constructed by the digital twin. The system operator operates the equipment model in the virtual scene, and the system transmits the "operation command" (result) to the actual hardware device. The data fusion analysis is completed by the statistical analysis module. First, the working face data (real-time and historical environmental data, historical and real-time equipment data) is collected. The various influencing factors are fused and calculated through algorithms to obtain the analysis results. The decision-making iterative optimization is realized by the planning and iteration module. The results obtained from the data fusion analysis, combined with the historical working face environment and equipment operation status, issue "control commands" (results) to the equipment to correct the actions.

[0110] In the working face scenario, a holographic overview of the entire working face is displayed, including the operation and working modes of all equipment, mining planning status, multi-data fusion and iteration trends, mining energy efficiency, control capabilities, environmental parameters, and the current process section of the coal mining machine, providing a comprehensive overview of the working face information. Users can intuitively view the current progress of the working face, including detailed information such as the number of cutting tools, coal mining machine position, equipment operating status, cutting cycle trajectory, and mining process.

[0111] By collecting various environmental factors, such as the concentration of flammable and explosive gases, dust concentration, working face air volume, current equipment load, and transportation system load, the calculation results are obtained through a weighted algorithm, and corresponding actions are executed to obtain the multi-data fusion iterative trend.

[0112] Mining energy efficiency is obtained through load calculations of the transportation system;

[0113] The statistical equipment has the ability to control the completion rate of action commands, response delay, and start-up rate.

[0114] Planning Scenario: The operation of the coal mining machine is displayed by showing the equipment condition data, planning data, process section diagram, as well as the planned cutting curve, planned speed curve, and cyclic coal cutting curve.

[0115] The operating data includes the coal mining machine's mining height and bottom depth, its operating speed at each position (meters / position frame), and the coal mining machine's position at a given time (position meters / position frame).

[0116] Process section illustration: The process section actions that the coal mining machine is performing at a certain position;

[0117] Planned cutting curve: Based on the mining height and bottom elevation of the coal mining machine over a period of time, the trend of the top and bottom plates of the coal seam in the working face is plotted to obtain the curve of the subsequent operation of the coal mining machine; Planned speed curve: Collect the operating speed of the coal mining machine at a certain position (meters / position frame) over a period of time, obtain the correspondence between the speed and position of the coal mining machine, and plot the planned speed curve; Cyclic coal cutting curve: Collect the position (meters / position frame) information of the coal mining machine over a period of time, count the position changes, and plot the cyclic coal cutting curve to display the operation of the coal mining machine.

[0118] The planned mining scenario primarily recreates the current operating status of the coal mining machine, including its operating position, speed, direction, drum operating posture, motor current load, cutting cycle trajectory, and current process stage. It also integrates a virtual cutting planning curve displayed within the scenario.

[0119] The electro-hydraulic control planning scenario showcases real-time monitoring data of the hydraulic supports at the working face, including front and rear column pressure information, column pressure and pusher stroke, working face video monitoring, straightness curves, and machine-following parameter settings. It primarily displays the hydraulic support's machine-following status and a virtual working face straightening curve, while also showing the working face mine pressure and support pusher stroke in a bar graph. Users can also manually switch between individual support statuses, simultaneously viewing the working face video of that support.

[0120] The three-machine transportation scenario is a monitoring scenario for the scraper conveyor, transfer conveyor, and crusher. By monitoring the current, voltage, and other mining data of these three machines in real time, the scenario allows for real-time understanding and control of the transportation system load. The scenario also allows observation of the operation of the radar installed at this location, which is helpful in monitoring the coal mining machine's advance speed and the flatness of the working face.

[0121] The liquid supply system scenario showcases real-time data monitoring, liquid level status, and changes in water pump and liquid pump data for the working face liquid supply system (which includes emulsion and clean water). It provides an intuitive means of real-time monitoring of the liquid levels in the working face pump station's water tanks and liquid tanks, and also allows for monitoring of the operation of each pump within the entire scenario.

[0122] The power supply system scenario mainly uses real-time data from the mobile transformer and the monitoring status of each mobile transformer circuit to show the operating status of the power supply system at the working face. It displays the closing status of each power supply circuit at the working face in real time, as well as the voltage and current status of the circuit when it is closed.

[0123] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A safe planning and mining system based on a geological assurance system, characterized in that, It includes a mine geological acquisition module, a panel planning module, a digital mining module, a statistical analysis module, and a display module; The output terminals of the mine geological acquisition module and the panel planning module are connected to the input terminal of the digital mining module. The output terminal of the digital mining module is connected to the input terminal of the statistical analysis module. The output terminals of the mine geological acquisition module, the panel planning module, the digital mining module, and the statistical analysis module are all connected to the display module. The mine geological acquisition module is used to collect mine geological information and transmit it to the panel planning module, digital mining module, statistical analysis module and display module; The panel planning module is used to plan water supply, power supply, transportation, ventilation and personnel work in the panel area based on the mine geological information and the operation information of each system in the panel area; The digital mining module is used to obtain future cutter plans based on mine geological information and panel planning. The process of planning future cutters is as follows: by obtaining the coal seam trend through the mining height, bottom cutting height and changes of the coal mining machine in the past period and space range; by combining the coal seam trend and the preset algorithm, the trend calculation results are obtained to predict future coal seam changes. The height parameters of the future cutter are planned based on the predicted changes in the coal seam; the cutting is carried out according to the height parameters of the future cutter, and the data is continuously compared with real-time data for dynamic correction and adjustment. The statistical analysis module is used to collect and analyze production status information, operating data, and planning curves. The display module is used to display the information obtained by the above module.

2. The safe planning and mining system based on a geological support system according to claim 1, characterized in that, The mine geological acquisition module includes: The geological data acquisition module is used to collect geological information and coal and rock structure data. The production system information acquisition module is used to collect production overview and system status. The disaster management information collection module is used to collect information on disaster distribution, gas occurrence, hydrological conditions, and mine pressure.

3. The safe planning and mining system based on a geological support system according to claim 1, characterized in that, The area planning module includes: The water, electricity, transportation, ventilation, and personnel information collection module is used to collect information from the main transportation system, ventilation system, precise personnel positioning, and water and electricity supply information. The working face information acquisition module is used to collect panel connection information and working face information.

4. The safe planning and mining system based on a geological assurance system according to claim 1, characterized in that, The digital mining module includes: The working face information acquisition module is used to collect working mode, equipment capacity and environmental parameters; The planning and iteration module is used to plan for future operations and perform multi-data fusion iterations. Each system operation status acquisition module is used to collect real-time data, planning data, perform load statistics, and collect phased operating parameters.

5. The safe planning and mining system based on a geological assurance system according to claim 4, characterized in that, The process of multi-data fusion and iteration is as follows: The working face environment and equipment parameters are acquired through environmental and equipment data acquisition devices and sensors; the impact of each parameter value and its changes on the operating speed and speed changes of the coal mining machine is calculated through multi-data fusion algorithms, and the weights of each parameter are continuously adjusted. By combining the algorithm and parameter weights, the operating speed of the coal mining machine is calculated to obtain the planned operating speed; The planned running speed and the actual running speed are compared, and the multi-data fusion algorithm is adjusted based on the comparison results.

6. The safe planning and mining system based on a geological assurance system according to claim 1, characterized in that, The statistical analysis module includes: The production status information acquisition module is used to collect equipment runtime, overall uptime, and environmental parameters; The operating condition data acquisition module is used to collect load balance speed regulation data and production continuity data; The mining planning curve generation module is used to generate planning curves and geological curves.

7. The safe planning and mining system based on a geological assurance system according to claim 6, characterized in that, The working condition data acquisition module divides a region into multiple zones based on the conditions of the top and bottom plates of the working face and the working conditions of the equipment. In each zone, the safety mining efficiency is evaluated based on the evaluation indicators of the conditions of the top and bottom plates, the dip angle, the pressure, the speed of the coal mining machine, the equipment integrity rate, the efficiency of a single support frame, and the advancement of the hydraulic support.

8. The safe planning and mining system based on a geological assurance system according to claim 1, characterized in that, The display module constructs a virtual scene through digital twins and performs scene reproduction and interaction within this virtual scene.

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