Intelligent management system for mining area

Abstract

The invention discloses a mining area intelligent management system, and particularly relates to the field of mining area management, which comprises a mining area division module, a mining area data acquisition module, a mining area data analysis module, an anomaly index calculation module and an anomaly analysis module. Through the monitoring area division module, the data acquisition module, the data analysis module, the comprehensive analysis module, the early warning module and the like, comprehensive monitoring and evaluation of the geological structure, the environment, the equipment operation state and the mineral resources of the mining area are achieved, potential safety hazards and production problems can be found and early warned in time, a scientific basis is provided for management personnel, and the working efficiency is improved. Meanwhile, manual intervention is reduced through automatic data acquisition and intelligent analysis, the working efficiency and accuracy are improved, and a powerful guarantee is provided for safe production and sustainable development of a mining area.

Description

Technical Field

[0001] The present invention relates to the technical field of mining area management, and more specifically, to an intelligent management system for mining areas. Background Art

[0002] In the current mine management, traditional technical means face many challenges. First, the traditional monitoring system is limited to surface information in data collection, lacks in-depth analysis and real-time warning capabilities, resulting in a delayed response to potential risks. Secondly, relying on manual inspections and records is not only inefficient, but also prone to inaccurate or missed data due to human factors, affecting the effectiveness of management decisions. Thirdly, the mining environment is complex and changeable, and factors such as geological structure, meteorological conditions, equipment status and resource reserves are intertwined. It is difficult for traditional management methods to fully and accurately grasp the overall situation of the mining area.

[0003] With the rapid development of information technology, especially the mature application of advanced technologies such as the Internet of Things, big data, cloud computing and artificial intelligence, intelligent mine management has become possible. However, most of the mine management systems on the market currently focus on the realization of a single function and lack comprehensive solutions, making it difficult to meet the mine's needs for efficient, intelligent and comprehensive management. These systems often have problems such as data islands, insufficient analysis depth, and imperfect early warning mechanisms, which limit their actual application effects in mine management. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a mining area intelligent management system, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0005] To achieve the above object, the present invention provides the following technical solution: a mining area intelligent management system, comprising:

[0006] Mining area division module: used to determine the target mining area as the target monitoring area, divide the target monitoring area into various monitoring sub-areas by equal area division, and mark them as 1, 2...n in sequence;

[0007] Mining area data acquisition module: used to collect geological structure data, environmental monitoring data, equipment operation status data and mineral resource data of each monitoring sub-area, and transmit the collected data to the mining area data analysis module;

[0008] Mining area data analysis module: including geological structure data analysis unit, environmental monitoring data analysis unit, equipment operation status data analysis unit and mineral resource data analysis unit, used to analyze the data transmitted by the mining area data acquisition module and transmit the analysis results to the abnormal index calculation module;

[0009] Abnormal index calculation module: used to establish a comprehensive analysis model, import the data transmitted by the mining area data analysis module into the comprehensive analysis model, calculate the comprehensive abnormal index of each monitoring sub-area, and transmit it to the abnormal analysis module;

[0010] Abnormal analysis module: used to establish the preset value of the comprehensive abnormal index, to judge the comprehensive abnormal index of each monitoring sub-area, and to issue a warning signal based on the judgment result.

[0011] Preferably, the geological structure data include rock hardness index, stratum depth, geological structure complexity and soil moisture, which are marked as Gh, Gd, Gf and Gw respectively; the environmental monitoring data include air temperature, air humidity, PM2.5 concentration and noise level, which are marked as Rt, Rh, Rp and Ro respectively; the equipment operation status data include equipment vibration frequency, motor temperature, equipment operation time and lubricating oil pressure, which are marked as Df, De, Dt and Dp respectively; the mineral resource data include ore grade, ore body thickness, mineral reserves and mining efficiency, which are marked as Mp, Mc, Ml and Mv respectively.

[0012] Preferably, the geological structure data analysis unit is used to establish a geological structure data analysis model, import the geological structure data transmitted by the mining area data acquisition module into the geological structure data analysis model, and calculate the geological structure characteristic value of each monitoring sub-area, which is specifically expressed as: KG i represents the geological structure characteristic value of the ith monitoring sub-area, Gh i represents the rock hardness index of the ith monitoring sub-area, Gd i represents the formation depth of the ith monitoring sub-area, Gf i represents the geological complexity of the ith monitoring sub-area, Gw i represents the soil moisture of the ith monitoring sub-area, and μ1 represents other influencing factors of the geological structure characteristic value.

[0013] Preferably, the environmental monitoring data analysis unit is used to establish an environmental monitoring data analysis model, import the environmental monitoring data transmitted by the mining area data acquisition module into the environmental monitoring data analysis model, and calculate the environmental characteristic value of each monitoring sub-area, which is specifically expressed as: KR i represents the environmental characteristic value of the ith monitoring sub-area, Rt i represents the air temperature of the ith monitoring sub-area, Rh i represents the air humidity of the ith monitoring sub-area, Rp i represents the PM2.5 concentration in the ith monitoring sub-area, Ro i represents the noise level of the ith monitoring sub-area, Rt maxIndicates the maximum air temperature in the target monitoring area, Rt min represents the minimum air temperature of the target monitoring area, and μ2 represents other influencing factors of the environmental characteristic value.

[0014] Preferably, the equipment operation status data analysis unit is used to establish an equipment operation status data analysis model, import the equipment operation status data transmitted by the mining area data acquisition module into the equipment operation status data analysis model, and calculate the equipment operation status evaluation value of each monitoring sub-area, which is specifically expressed as: KD i represents the equipment operation status evaluation value of the i-th monitoring sub-area, Df i represents the equipment vibration frequency of the ith monitoring sub-area, De i represents the motor temperature of the ith monitoring sub-area, Dt i represents the equipment operation time of the i-th monitoring sub-area, Dp i represents the lubricating oil pressure of the ith monitoring sub-area, and μ3 represents other influencing factors of the equipment operation status evaluation value.

[0015] Preferably, the mineral resource data analysis unit is used to establish a mineral resource data analysis model, import the mineral resource data transmitted by the mining area data acquisition module into the mineral resource data analysis model, and calculate the mineral resource characteristic value of each monitoring sub-area, which is specifically expressed as: KM i represents the mineral resource characteristic value of the ith monitoring sub-area, Mp i represents the ore grade of the ith monitoring sub-area, Mc i represents the ore body thickness of the ith monitoring sub-area, Ml i represents the mineral reserves of the ith monitoring sub-area, Mv i represents the mining efficiency of the ith monitoring sub-area, and μ4 represents other influencing factors of the characteristic values ​​of mineral resources.

[0016] Preferably, the comprehensive analysis model is specifically expressed as: i =KG i ×KR i ×KD i ×KM i ×λ,η i represents the comprehensive anomaly index of the ith monitoring sub-area, KG i represents the geological structure characteristic value of the ith monitoring sub-area, KR i represents the environmental characteristic value of the ith monitoring sub-area, KD i represents the equipment operation status evaluation value of the i-th monitoring sub-area, KM i represents the characteristic value of mineral resources in the ith monitoring sub-area, and λ represents other influencing factors of the comprehensive anomaly index.

[0017] Preferably, the preset value of the comprehensive abnormality index is marked as η Def , when η Def ≥η i When η is greater than the preset value of the comprehensive abnormal index, it means that the target mining area is in good operating condition. Then the mining area data acquisition module is returned to keep monitoring the target mining area. Def <η i When , it means that the preset value of the comprehensive abnormality index is less than the comprehensive abnormality index of the ith monitoring sub-area, indicating that the operating status of the target mining area is abnormal, and an early warning signal is sent to the management terminal.

[0018] Technical effects and advantages of the present invention:

[0019] The present invention divides the target mining area into a plurality of monitoring sub-areas by equal-area division through the mining area area division module, and performs sequential numbering. The advantage of this is that refined management can be achieved, making the monitoring work more specific and efficient. Each sub-area can be monitored independently, which is convenient for timely discovery and processing of abnormal situations, and is also convenient for data analysis and management; the mining area data acquisition module collects data on geological structure, environmental monitoring, equipment operation status, mineral resources and other aspects of each monitoring sub-area, which are the basis for subsequent analysis and early warning. The accuracy and reliability of the system can be ensured through comprehensive collection. The module improves the automation of data collection, reduces manual intervention, and improves work efficiency; the mining area data analysis module conducts in-depth analysis of various types of data through professional models, calculates key indicators such as geological structure characteristic values, environmental characteristic values, equipment operation status evaluation values ​​and mineral resource characteristic values, which provide important basis for subsequent comprehensive analysis and early warning, so that the system can more comprehensively and accurately evaluate the overall state of the mining area; the various types of data transmitted by the mining area data analysis module are imported into the comprehensive analysis model through the abnormal index calculation module, and the comprehensive abnormal index of each monitoring sub-area is calculated. This step is the core of the system's intelligence. It integrates information from multiple aspects such as geology, environment, equipment and mineral resources, and can fully reflect the actual situation of the mining area. Through the comprehensive anomaly index, the system can timely discover and evaluate potential problems in the mining area, and provide strong support for the anomaly analysis module; the anomaly analysis module compares the comprehensive anomaly index calculated by the anomaly index calculation module with the preset value, and issues an early warning signal in time when an anomaly is found. This module is directly related to the safety and production efficiency of the mining area, and can promptly remind managers to take measures to avoid accidents and the expansion of losses. The existence of the anomaly analysis module enables the system to have the ability to respond quickly and intervene in time, which is an important means to ensure the safe operation of the mining area. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] refer to Figure 1 The intelligent management system for a mining area shown includes a mining area division module, a mining area data collection module, a mining area data analysis module, an abnormality index calculation module and an abnormality analysis module.

[0023] The mining area division module is used to determine the target mining area as the target monitoring area, divide the target monitoring area into various monitoring sub-areas by equal area division, and mark them as 1, 2...n in sequence.

[0024] The mining area data acquisition module is used to collect geological structure data, environmental monitoring data, equipment operation status data and mineral resource data of each monitoring sub-area, and transmit the collected data to the mining area data analysis module.

[0025] The geological structure data include rock hardness index, stratum depth, geological structure complexity and soil moisture, which are marked as Gh, Gd, Gf and Gw respectively; the environmental monitoring data include air temperature, air humidity, PM2.5 concentration and noise level, which are marked as Rt, Rh, Rp and Ro respectively; the equipment operation status data include equipment vibration frequency, motor temperature, equipment operation time and lubricating oil pressure, which are marked as Df, De, Dt and Dp respectively; the mineral resource data include ore grade, ore body thickness, mineral reserves and mining efficiency, which are marked as Mp, Mc, Ml and Mv respectively.

[0026] The mining area data analysis module includes a geological structure data analysis unit, an environmental monitoring data analysis unit, an equipment operation status data analysis unit and a mineral resource data analysis unit, which are used to analyze the data transmitted by the mining area data acquisition module and transmit the analysis results to the abnormal index calculation module.

[0027] The geological structure data analysis unit is used to establish a geological structure data analysis model, import the geological structure data transmitted by the mining area data acquisition module into the geological structure data analysis model, and calculate the geological structure characteristic value of each monitoring sub-area, which is specifically expressed as: KG i represents the geological structure characteristic value of the ith monitoring sub-area, Ghi represents the rock hardness index of the ith monitoring sub-area, Gd i represents the formation depth of the ith monitoring sub-area, Gf i represents the geological complexity of the ith monitoring sub-area, Gw i represents the soil moisture of the ith monitoring sub-area, and μ1 represents other influencing factors of the geological structure characteristic value.

[0028] The environmental monitoring data analysis unit is used to establish an environmental monitoring data analysis model, import the environmental monitoring data transmitted by the mining area data acquisition module into the environmental monitoring data analysis model, and calculate the environmental characteristic values ​​of each monitoring sub-area, which is specifically expressed as: KR i represents the environmental characteristic value of the ith monitoring sub-area, Rt i represents the air temperature of the ith monitoring sub-area, Rh i represents the air humidity of the ith monitoring sub-area, Rp i represents the PM2.5 concentration in the ith monitoring sub-area, Ro i represents the noise level of the ith monitoring sub-area, Rt max Indicates the maximum air temperature in the target monitoring area, Rt min represents the minimum air temperature of the target monitoring area, and μ2 represents other influencing factors of the environmental characteristic value.

[0029] The equipment operation status data analysis unit is used to establish an equipment operation status data analysis model, import the equipment operation status data transmitted by the mining area data acquisition module into the equipment operation status data analysis model, and calculate the equipment operation status evaluation value of each monitoring sub-area, which is specifically expressed as: KD i represents the equipment operation status evaluation value of the i-th monitoring sub-area, Df i represents the equipment vibration frequency of the ith monitoring sub-area, De i represents the motor temperature of the ith monitoring sub-area, Dt i represents the equipment operation time of the i-th monitoring sub-area, Dp i represents the lubricating oil pressure of the ith monitoring sub-area, and μ3 represents other influencing factors of the equipment operation status evaluation value.

[0030] The mineral resource data analysis unit is used to establish a mineral resource data analysis model, import the mineral resource data transmitted by the mining area data acquisition module into the mineral resource data analysis model, and calculate the mineral resource characteristic value of each monitoring sub-area, which is specifically expressed as: KM i represents the mineral resource characteristic value of the ith monitoring sub-area, Mp irepresents the ore grade of the ith monitoring sub-area, Mc i represents the ore body thickness of the ith monitoring sub-area, Ml i represents the mineral reserves of the ith monitoring sub-area, Mv i represents the mining efficiency of the ith monitoring sub-area, and μ4 represents other influencing factors of the characteristic values ​​of mineral resources.

[0031] The abnormal index calculation module is used to establish a comprehensive analysis model, import the data transmitted by the mining area data analysis module into the comprehensive analysis model, calculate the comprehensive abnormal index of each monitoring sub-area, and transmit it to the abnormal analysis module.

[0032] The comprehensive analysis model is specifically expressed as: i =KG i ×KR i ×KD i ×KM i ×λ,η i represents the comprehensive anomaly index of the ith monitoring sub-area, KG i represents the geological structure characteristic value of the ith monitoring sub-area, KR i represents the environmental characteristic value of the ith monitoring sub-area, KD i represents the equipment operation status evaluation value of the i-th monitoring sub-area, KM i represents the characteristic value of mineral resources in the ith monitoring sub-area, and λ represents other influencing factors of the comprehensive anomaly index.

[0033] The abnormality analysis module is used to establish a preset value of the comprehensive abnormality index, to judge the comprehensive abnormality index of each monitoring sub-area, and to issue an early warning signal according to the judgment result.

[0034] The preset value of the comprehensive abnormality index is marked as η Def , when η Def ≥η i When η is greater than the preset value of the comprehensive abnormal index, it means that the target mining area is in good operating condition. Then the mining area data acquisition module is returned to keep monitoring the target mining area. Def <η i When , it means that the preset value of the comprehensive abnormality index is less than the comprehensive abnormality index of the ith monitoring sub-area, indicating that the operating status of the target mining area is abnormal, and an early warning signal is sent to the management terminal.

[0035] The present invention divides the target mining area into a plurality of monitoring sub-areas by equal-area division through the mining area area division module, and performs sequential numbering. The advantage of this is that refined management can be achieved, making the monitoring work more specific and efficient. Each sub-area can be monitored independently, which is convenient for timely discovery and processing of abnormal situations, and is also convenient for data analysis and management; the mining area data acquisition module collects data on geological structure, environmental monitoring, equipment operation status, mineral resources and other aspects of each monitoring sub-area, which are the basis for subsequent analysis and early warning. The accuracy and reliability of the system can be ensured through comprehensive collection. The module improves the automation of data collection, reduces manual intervention, and improves work efficiency; the mining area data analysis module conducts in-depth analysis of various types of data through professional models, calculates key indicators such as geological structure characteristic values, environmental characteristic values, equipment operation status evaluation values ​​and mineral resource characteristic values, which provide important basis for subsequent comprehensive analysis and early warning, so that the system can more comprehensively and accurately evaluate the overall state of the mining area; the various types of data transmitted by the mining area data analysis module are imported into the comprehensive analysis model through the abnormal index calculation module, and the comprehensive abnormal index of each monitoring sub-area is calculated. This step is the core of the system's intelligence. It integrates information from multiple aspects such as geology, environment, equipment and mineral resources, and can fully reflect the actual situation of the mining area. Through the comprehensive anomaly index, the system can timely discover and evaluate potential problems in the mining area, and provide strong support for the anomaly analysis module; the anomaly analysis module compares the comprehensive anomaly index calculated by the anomaly index calculation module with the preset value, and issues an early warning signal in time when an anomaly is found. This module is directly related to the safety and production efficiency of the mining area, and can promptly remind managers to take measures to avoid accidents and the expansion of losses. The existence of the anomaly analysis module enables the system to have the ability to respond quickly and intervene in time, which is an important means to ensure the safe operation of the mining area.

[0036] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0037] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A mining area intelligent management system, characterized in that: include: Mining area division module: used to determine the target mining area as the target monitoring area, divide the target monitoring area into various monitoring sub-areas by equal area division, and mark them as 1, 2, ..., n in sequence, where n is the total number of monitoring sub-areas; Mining area data acquisition module: used to collect geological structure data, environmental monitoring data, equipment operation status data and mineral resource data of each monitoring sub-area, and transmit the collected data to the mining area data analysis module; Mining area data analysis module: including geological structure data analysis unit, environmental monitoring data analysis unit, equipment operation status data analysis unit and mineral resource data analysis unit, used to analyze the data transmitted by the mining area data acquisition module and transmit the analysis results to the abnormal index calculation module; Abnormal index calculation module: used to establish a comprehensive analysis model, import the data transmitted by the mining area data analysis module into the comprehensive analysis model, calculate the comprehensive abnormal index of each monitoring sub-area, and transmit it to the abnormal analysis module; Abnormal analysis module: used to establish the preset value of the comprehensive abnormal index, to judge the comprehensive abnormal index of each monitoring sub-area, and to issue a warning signal based on the judgment result.

2. The intelligent management system for mining areas according to claim 1, characterized in that: The geological structure data include rock hardness index, stratum depth, geological structure complexity and soil moisture, which are marked as Gh, Gd, Gf and Gw respectively; the environmental monitoring data include air temperature, air humidity, PM2.5 concentration and noise level, which are marked as Rt, Rh, Rp and Ro respectively; the equipment operation status data include equipment vibration frequency, motor temperature, equipment operation time and lubricating oil pressure, which are marked as Df, De, Dt and Dp respectively; the mineral resource data include ore grade, ore body thickness, mineral reserves and mining efficiency, which are marked as Mp, Mc, Ml and Mv respectively.

3. The intelligent management system for mining areas according to claim 1, characterized in that: The geological structure data analysis unit is used to establish a geological structure data analysis model, import the geological structure data transmitted by the mining area data acquisition module into the geological structure data analysis model, and calculate the geological structure characteristic value of each monitoring sub-area, which is specifically expressed as: KG i represents the geological structure characteristic value of the ith monitoring sub-area, Gh i represents the rock hardness index of the ith monitoring sub-area, Gd i represents the formation depth of the ith monitoring sub-area, Gf i represents the geological complexity of the ith monitoring sub-area, Gw i represents the soil moisture in the i-th monitoring sub-area, μ1 represents other influencing factors of the geological structure characteristic value, i∈(1, 2,…, n).

4. The intelligent management system for mining areas according to claim 1, characterized in that: The environmental monitoring data analysis unit is used to establish an environmental monitoring data analysis model, import the environmental monitoring data transmitted by the mining area data acquisition module into the environmental monitoring data analysis model, and calculate the environmental characteristic values ​​of each monitoring sub-area, which is specifically expressed as: KR i represents the environmental characteristic value of the ith monitoring sub-area, Rt i represents the air temperature of the ith monitoring sub-area, Rh i represents the air humidity of the ith monitoring sub-area, Rp i represents the PM2.5 concentration in the i-th monitoring sub-area, Ro i represents the noise level of the ith monitoring sub-area, Rt max Indicates the maximum air temperature in the target monitoring area, Rt min represents the minimum air temperature of the target monitoring area, μ2 represents other influencing factors of the environmental characteristic value, i∈(1, 2, …, n).

5. The intelligent management system for mining areas according to claim 1, characterized in that: The equipment operation status data analysis unit is used to establish an equipment operation status data analysis model, import the equipment operation status data transmitted by the mining area data acquisition module into the equipment operation status data analysis model, and calculate the equipment operation status evaluation value of each monitoring sub-area, which is specifically expressed as: KD i represents the equipment operation status evaluation value of the i-th monitoring sub-area, Df i represents the equipment vibration frequency of the ith monitoring sub-area, De i represents the motor temperature of the ith monitoring sub-area, Dt i represents the equipment operation time of the i-th monitoring sub-area, Dp i represents the lubricating oil pressure of the i-th monitoring sub-area, μ3 represents other influencing factors of the equipment operation status evaluation value, i∈(1, 2, …, n).

6. The intelligent management system for mining areas according to claim 1, characterized in that: The mineral resource data analysis unit is used to establish a mineral resource data analysis model, import the mineral resource data transmitted by the mining area data acquisition module into the mineral resource data analysis model, and calculate the mineral resource characteristic value of each monitoring sub-area, which is specifically expressed as: KM i represents the mineral resource characteristic value of the ith monitoring sub-area, Mp i represents the ore grade of the ith monitoring sub-area, Mc i represents the ore body thickness of the ith monitoring sub-area, Ml i represents the mineral reserves of the ith monitoring sub-area, Mv i represents the mining efficiency of the i-th monitoring sub-area, μ4 represents other influencing factors of the characteristic values ​​of mineral resources, i∈(1, 2,…, n).

7. The intelligent management system for mining areas according to claim 1, characterized in that: The comprehensive analysis model is specifically expressed as: i =KG i ×KR i ×KD i ×KM i ×λ,η i represents the comprehensive anomaly index of the ith monitoring sub-area, KG i represents the geological structure characteristic value of the ith monitoring sub-area, KR i represents the environmental characteristic value of the ith monitoring sub-area, KD i represents the equipment operation status evaluation value of the i-th monitoring sub-area, KM i represents the characteristic value of mineral resources in the i-th monitoring sub-area, λ represents other influencing factors of the comprehensive anomaly index, i∈(1, 2, …, n).

8. The intelligent management system for mining areas according to claim 1, characterized in that: The preset value of the comprehensive abnormality index is marked as η Def , when η Def ≥η i When η is greater than the preset value of the comprehensive abnormal index, it means that the target mining area is in good operating condition. Then the mining area data acquisition module is returned to keep monitoring the target mining area. Def <η i When , it means that the preset value of the comprehensive abnormality index is less than the comprehensive abnormality index of the i-th monitoring sub-area, indicating that the operating status of the target mining area is abnormal, and an early warning signal is sent to the management terminal, i∈(1, 2, …, n).

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