Coal mining system and mining method based on Internet of Things operation

Abstract

The invention relates to a coal mining system and mining method based on Internet of Things operation, and the system comprises a monitoring unit which is configured to obtain the environment parameters of a coal mining area and the equipment parameters of coal mining equipment in real time; the analysis and decision-making unit is configured to analyze the environment parameters and the equipment parameters to obtain a coal mining decision; the decision execution unit is configured to execute the coal mining decision, the decision execution unit further comprises a decision adjustment unit, and the decision adjustment unit is configured to adjust the coal mining decision in real time based on the real-time data in the process of executing the coal mining decision.

Description

Technical Field

[0001] The present invention relates to the field of coal mining, and in particular to a coal mining system and a mining method based on Internet of Things operation. Background Art

[0002] As a mature technology in the field of industrial automation, programmable logic controller (PLC) has been widely used in coal mining due to its stable and reliable performance. This technical solution accurately controls the start, operation, and stop of coal mining equipment through pre-written programs to ensure that the equipment operates according to the predetermined process.

[0003] In terms of communication and data transmission, wired networks are mainly relied on. This network structure connects various devices through physical lines (such as cables, optical cables, etc.) to achieve real-time transmission and sharing of data. Wired networks have advantages in the stability and security of data transmission, and can ensure the accuracy and integrity of data.

[0004] However, although PLC controllers and wired networks play an important role in coal mining, they still have many disadvantages.

[0005] For example, PLC controllers mainly rely on preset programs for equipment control and are unable to make intelligent decisions based on real-time changes in the coal mine environment, and are unable to adjust according to real-time changes. Summary of the invention

[0006] In order to solve the problems in the prior art, the present invention provides a coal mining system based on Internet of Things operation.

[0007] According to one aspect of the present invention, there is provided a coal mining system based on Internet of Things operation, comprising: a monitoring unit configured to acquire in real time environmental parameters of a coal mining area and equipment parameters of coal mining equipment; an analysis and decision unit configured to analyze environmental parameters and equipment parameters to obtain coal mining decisions; and a decision execution unit configured to execute coal mining decisions, wherein the decision execution unit further comprises a decision adjustment unit, which is configured to adjust the coal mining decision in real time based on real-time data in the process of executing the coal mining decision.

[0008] Furthermore, the real-time data includes at least one of environmental parameters, equipment parameters and geological parameters.

[0009] Furthermore, the geological parameters include at least one of geological structure and coal seam thickness.

[0010] Furthermore, the monitoring unit is further configured to issue a warning signal when at least one of the environmental parameters and the equipment parameters meets an abnormal condition.

[0011] Furthermore, the monitoring unit obtains environmental parameters and equipment parameters in real time through a wireless network.

[0012] Furthermore, the wireless network includes any one of Wi-Fi, LoRa, and NB-IoT.

[0013] Furthermore, the analysis and decision-making unit analyzes the environmental parameters and the equipment parameters by at least one of cluster analysis, regression analysis, and a prediction model.

[0014] Furthermore, the analysis and decision-making unit further includes a visualization unit, and the visualization unit is configured to visualize the analysis results of the environmental parameters and the equipment parameters based on GIS.

[0015] Furthermore, the analysis and decision-making unit further includes a simulation optimization unit, which is configured to determine the coal mining decision according to at least one of the mining output, cost, and safety risk.

[0016] According to one aspect of the present invention, there is provided a method for intelligent coal mining based on Internet of Things operation, including: acquiring environmental parameters of the coal mining area and equipment parameters of the coal mining equipment in real time; analyzing the environmental parameters and equipment parameters to obtain coal mining decisions; and executing the coal mining decisions.

[0017] According to the present invention, the intelligent level of coal mining can be significantly improved, the intelligent control and collaborative operation of mining equipment can be realized, and the mining efficiency can be improved. At the same time, through the real-time collection and analysis of data by the monitoring unit, early warning and fault prediction can be realized to ensure the safety of operation. In addition, the analysis and decision-making unit can also provide scientific basis and decision-making support for coal mine management. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a coal mining system operated based on the Internet of Things according to an embodiment of the present disclosure is shown.

[0019] Figure 2 A flow chart of a coal mining method based on Internet of Things operation according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0020] In the following description of examples or embodiments of the present disclosure, reference will be made to the accompanying drawings, in which specific examples or embodiments that can be implemented are shown by way of illustration, and in which the same reference numerals and symbols may be used to designate the same or similar components, even if they are shown in different drawings. In addition, in the following description of examples or embodiments of the present disclosure, when it is determined that a detailed description of the well-known functions and components incorporated herein may make the subject matter in some embodiments of the present disclosure less clear, the description will be omitted. Terms such as "including", "having", "comprising", "constituting", "comprising" and "forming" used herein are generally intended to allow the addition of other components unless these terms are used with the term "only". As used herein, the singular form is intended to include the plural form unless the context clearly indicates otherwise.

[0021] Various embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0022] Figure 1 A coal mining system based on Internet of Things operation according to an embodiment of the present disclosure is shown.

[0023] Reference Figure 1 According to an embodiment of the present disclosure, a coal mining system (hereinafter referred to as “system”) 100 based on Internet of Things operation may include a monitoring unit 110 , an analysis and decision-making unit 120 and a decision-making execution unit 130 .

[0024] In an embodiment, the monitoring unit 110 may be configured to acquire environmental parameters of the coal mining area and equipment parameters of the coal mining equipment in real time.

[0025] According to the present invention, environmental parameters of the coal mining area may include ambient temperature, ambient humidity, ambient gas concentration, etc., and equipment parameters of the coal mining equipment may include position parameters, force parameters, vibration parameters, etc.

[0026] According to the present invention, in order to obtain environmental parameters of a coal mining area, a plurality of sensors, such as a temperature sensor, a humidity sensor, a gas concentration sensor, etc., may be deployed in the coal mining area.

[0027] According to the present invention, in order to obtain equipment parameters of the coal mining equipment, a plurality of sensors, such as a position sensor, a force sensor, a vibration sensor, etc., may be arranged inside the coal mining equipment.

[0028] In an embodiment, the monitoring unit 110 may obtain environmental parameters of the coal mining area and equipment parameters of the coal mining equipment in a wired or wireless manner.

[0029] Wireless network transmission has the advantages of wide coverage, fast transmission speed, high reliability, and the ability to ensure the real-time and accuracy of data. Therefore, preferably, the monitoring unit 110 can adopt the Internet of Things (IoT) technology to communicate with multiple sensors in the coal mine collection area and multiple sensors inside the coal mine mining equipment through any one of the wireless networks such as Wi-Fi, LoRa, and NB-IoT, so as to obtain real-time environmental parameters and equipment parameters.

[0030] In addition, the monitoring unit 110 may also be configured to process and analyze environmental parameters and device parameters, such as data cleaning, denoising, filtering, etc.

[0031] In addition, the monitoring unit 110 can also be configured to perform in-depth mining of data to achieve early warning and fault prediction functions. When an abnormal situation is detected, the monitoring unit 110 will immediately issue an early warning signal and generate a corresponding fault report.

[0032] In an embodiment, the analysis and decision-making unit 120 may be configured to analyze environmental parameters and equipment parameters to obtain a coal mining decision.

[0033] For example, the analysis and decision-making unit 120 may use cluster analysis, regression analysis, prediction models, etc. to mine and analyze data, thereby extracting potential rules and trends in the data and providing a scientific basis for mining decisions.

[0034] In order to help better understand and analyze the data, the present invention adopts geographic information system (GIS) technology to visualize the environmental data (including environmental parameters), equipment data (including equipment parameters), geological data (including geological parameters) and other information of the coal mining area.

[0035] In addition, it is also possible to visualize graphic data such as shaft and tunnel engineering design drawings, mining ventilation monitoring drawings, electromechanical design drawings, etc., which are used to understand the mine layout and production environment.

[0036] In addition, document data such as plans, measures, rules and regulations, emergency cases, etc., which are used to provide guidance and basis for safe production, can also be visualized.

[0037] In addition, numerical data such as coal production can be visualized to evaluate production efficiency and economic benefits.

[0038] In addition, personnel data such as personnel positioning data used to manage the location and safety of personnel in the mine can also be visualized.

[0039] Therefore, the analysis and decision-making unit 120 may further include a visualization unit (not shown in the figure), which may be configured to visualize the data analysis results based on GIS technology. The data analysis results may be visualized in the form of charts, reports, etc., so that users can intuitively understand various situations and problems in the mining process.

[0040] The analysis and decision unit 120 may generate a mining decision based on the analysis results.

[0041] For example, suppose that in a coal mining area, the following data is obtained through environmental monitoring: Groundwater level: high, close to the coal seam mining area. Gas concentration: high in local areas, and there is a risk of gas outburst. Coal seam inclination: large, reaching more than 20°. Geological structure: complex, with faults and folds. Based on the above environmental parameter analysis, the mining decisions may be as follows: Strengthen drainage measures: Due to the high groundwater level, effective drainage measures need to be taken to prevent the occurrence of flooding accidents. Gas control: For areas with high gas concentration, take measures such as gas extraction and enhanced ventilation to reduce gas concentration and ensure safe production. Optimize mining plans: For areas with complex coal seam inclination and geological structure, optimize mining plans, adopt safer mining technologies and equipment, and reduce safety risks during mining.

[0042] For example, suppose that in a coal mining process, the parameters of the coal mining machine equipment used are as follows: Coal mining machine power: large, able to meet the current mining needs. Cutting height: matches the thickness of the coal seam. Traction speed: moderate, able to maintain a stable mining progress. However, after a period of operation, the following problems were found: The cutting part of the coal mining machine was severely worn, affecting the mining efficiency. The traction system failed, causing the coal mining machine to fail to operate normally. Based on the above equipment parameter analysis, the mining decision may be as follows: Replace the cutting part: For the severely worn cutting part, replace new parts in time to ensure the normal operation and mining efficiency of the coal mining machine. Repair the traction system: Conduct a comprehensive inspection of the traction system, find out the cause of the failure and repair it to ensure the stability and reliability of the coal mining machine. Strengthen equipment maintenance: Regularly maintain and service the coal mining machine, promptly discover and deal with potential problems, and extend the service life of the equipment.

[0043] In an embodiment, the analysis and decision-making unit 120 may further include a simulation optimization unit (not shown in the figure), which may be configured to predict indicators such as output, cost, and safety risk under different mining plans to help users select the optimal mining plan. At the same time, the mining plan can also be dynamically adjusted and optimized according to real-time data.

[0044] That is, the simulation optimization unit can determine the coal mining decision according to at least one of the mining output, cost, and safety risk. In addition, the simulation optimization unit can also adjust the coal mining decision according to environmental parameters and equipment parameters.

[0045] In an embodiment, the decision execution unit 130 may be configured to execute coal mining decisions.

[0046] According to the present invention, the decision execution unit 130 may include a micro control unit (MCU), which may receive and execute instructions (or signals) from the monitoring unit 110 and the analysis and decision unit 120 .

[0047] For example, the MCU may receive the coal mining decision of the analysis and decision unit 120 and convert it into an instruction for executing the coal mining decision. For another example, the MCU may receive the warning signal of the monitoring unit 110 and convert it into an instruction for executing the warning action.

[0048] According to the present invention, the decision execution unit 130 may also include a motor drive module, which can realize accurate control and operation of the coal mining equipment. For example, the motor drive module can accurately adjust the speed and direction of the motor of the mining equipment according to the instructions of the MCU.

[0049] In an embodiment, the decision execution unit 130 may also feed back the state data of the mining equipment. For example, the decision execution unit 130 may obtain the state data of the mining equipment (for example, information such as displacement, force condition, and vibration intensity) through sensors in the mining equipment (such as the position sensor, force sensor, and vibration sensor mentioned above), and may feed back the state data to the monitoring unit 110 or the analysis and decision unit 120 for use by the monitoring unit 110 or the analysis and decision unit 120.

[0050] For example, the monitoring unit 110 can determine that the mining equipment is in an emergency state through these status data, and thus issue a warning. For another example, the analysis and decision unit 120 can determine the coal mining decision through these status data.

[0051] In an embodiment, the decision execution unit 130 may further include a decision adjustment unit (not shown in the figure), which may be configured to adjust the coal mining decision in real time based on real-time data in the process of executing the coal mining decision.

[0052] In an embodiment, the real-time data may include at least one of an environmental parameter, an equipment parameter, and a geological parameter.

[0053] Environmental parameters include real-time monitoring data from sensors such as gas, temperature, wind speed, CO, etc., which are used to ensure mine safety.

[0054] Equipment parameters include, for example, the operation, control, and alarm data of automated equipment such as coal mining machines, tunneling machines, hydraulic supports, and belt conveyors.

[0055] Geological parameters include, for example, geological structure and coal seam thickness.

[0056] When the decision execution unit 130 executes coal mining according to the coal mining decision of the analysis and decision unit 120 (for example, the geological parameter at this time is that the coal seam thickness is A), the MCU in the decision execution unit 130 controls the motor drive module to mine in the first direction and at the first speed.

[0057] When the geological parameters change during the mining process (for example, the geological parameters become the coal seam thickness B), the decision adjustment unit can adjust the coal mining decision so that the motor drive module mines in the second direction and at the second speed.

[0058] Therefore, the decision adjustment unit can generate an optimal mining path based on the geological parameters according to the algorithm, and adjust the mining path in real time according to the changes in the geological parameters.

[0059] Figure 2 A flow chart of a coal mining method based on Internet of Things operation according to an embodiment of the present disclosure is shown.

[0060] Reference Figure 2 According to an embodiment of the present disclosure, the coal mining method based on the Internet of Things operation includes real-time acquisition of environmental parameters of the coal mining area and equipment parameters of the coal mining equipment (step S201).

[0061] As mentioned above, the environmental parameters of the coal mining area may include ambient temperature, ambient humidity, ambient gas concentration, etc., and the equipment parameters of the coal mining equipment may include position parameters, force parameters, vibration parameters, etc.

[0062] The method further includes analyzing environmental parameters and equipment parameters to obtain a coal mining decision (step S203).

[0063] As before, cluster analysis, regression analysis, predictive models, etc. can be used to mine and analyze data, thereby extracting potential patterns and trends in the data and providing a scientific basis for mining decisions.

[0064] The method further includes executing a coal mining decision (step S205 ).

[0065] Reference above Figure 1 The detailed process of executing coal mining decisions is described and will not be repeated in this paper.

[0066] The technical solution of the present invention can significantly improve the intelligent level of coal mining, realize intelligent control and collaborative operation of mining equipment, and improve mining efficiency. At the same time, through the real-time collection and analysis of data by the monitoring unit, early warning and fault prediction can be achieved to ensure operation safety. In addition, the analysis and decision-making unit can also provide scientific basis and decision-making support for coal mine management.

[0067] Although various embodiments of the disclosed technology have been described with specific features and different details for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible based on what is disclosed and shown in the present disclosure, without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A coal mining system based on Internet of Things operation, characterized in that: include: A monitoring unit configured to obtain environmental parameters of a coal mining area and equipment parameters of coal mining equipment in real time; An analysis and decision-making unit, configured to analyze the environmental parameters and the equipment parameters to obtain a coal mining decision; as well as A decision execution unit is configured to execute the coal mining decision, wherein: The decision execution unit further includes a decision adjustment unit, which is configured to adjust the coal mining decision in real time based on real-time data in the process of executing the coal mining decision.

2. The coal mining system based on Internet of Things operation according to claim 1 is characterized in that: The real-time data includes at least one of the environmental parameters, the equipment parameters and the geological parameters.

3. The coal mining system based on Internet of Things operation according to claim 2 is characterized in that: The geological parameters include at least one of geological structure and coal seam thickness.

4. The coal mining system based on Internet of Things operation according to claim 1 is characterized in that: The monitoring unit is further configured to issue an early warning signal when at least one of the environmental parameter and the equipment parameter meets an abnormal condition.

5. The coal mining system based on Internet of Things operation according to claim 1 is characterized in that: The monitoring unit acquires the environmental parameters and the equipment parameters in real time through a wireless network.

6. The coal mining system based on Internet of Things operation according to claim 5 is characterized in that: The wireless network includes any one of Wi-Fi, LoRa, and NB-IoT.

7. The coal mining system based on Internet of Things operation according to claim 1 is characterized in that: The analysis and decision-making unit analyzes the environmental parameters and the equipment parameters through at least one of cluster analysis, regression analysis, and a prediction model.

8. The coal mining system based on Internet of Things operation according to claim 7 is characterized in that: The analysis and decision-making unit further includes a visualization unit, which is configured to visualize the analysis results of the environmental parameters and the equipment parameters based on GIS.

9. The coal mining system based on Internet of Things operation according to claim 1, characterized in that: The analysis and decision-making unit further includes a simulation optimization unit, which is configured to determine the coal mining decision according to at least one of mining output, cost, and safety risk.

10. A coal mine intelligent mining method based on Internet of Things operation, characterized in that: include: Obtain environmental parameters of coal mining areas and equipment parameters of coal mining equipment in real time; Analyze the environmental parameters and the equipment parameters to obtain coal mining decisions; as well as Execute the coal mining decision.

Images