A grouting device for grouting in coal mine goafs and its usage method

By building a control system for intelligent grouting equipment, the problems of single structure and low intelligence of existing equipment are solved, the continuous operation and efficient monitoring of the grouting process are realized, and the intelligence and efficiency of grouting in coal mine goaf is improved.

CN115788561BActive Publication Date: 2025-07-25SHANDONG LUNAN GEOLOGICAL ENG SURVEY INST
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Patent Information

Application Number
CN202211587180.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-10
Publication Date
2025-07-25
Estimated Expiration
2042-12-10

AI Technical Summary

Technical Problem

The grouting equipment in the existing coal mine goaf has a single structure and low intelligence, which leads to frequent shutdowns during the grouting process to monitor the grouting volume and pressure, which seriously affects the grouting efficiency.

Method used

The control circuit is used to connect the terminal processor, mud monitoring module, timer, human-computer interaction module, wireless transceiver module, cloud server and data import module to build an intelligent grouting calculation model to realize real-time monitoring and automatic control of grouting volume and pressure.

Benefits of technology

It improves the intelligence and efficiency of the grouting equipment, ensures continuous operation of the grouting process, improves data acquisition accuracy and computing model learning ability, and reduces the operating pressure of the terminal processor.

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Patent Text Reader

Abstract

The present invention discloses a grouting device for coal mine gob areas and its usage method, including a grouting device and a control circuit for controlling the grouting device. The input end of the control circuit is electrically connected to a terminal processor. The output end of the terminal processor is bidirectionally electrically connected to a slurry monitoring module. The output end of the slurry monitoring module is bidirectionally electrically connected to the input end of the grouting device. The input end of the terminal processor is bidirectionally electrically connected to a timer. The input end of the terminal processor is bidirectionally electrically connected to a human-machine interaction module. The output end of the terminal processor is bidirectionally electrically connected to a wireless transceiver module. The output end of the wireless transceiver module is bidirectionally electrically connected to a cloud server. The output end of the cloud server is bidirectionally electrically connected to a data import module. The present invention improves the structural functionality of the existing grouting device, can monitor the grouting volume and pressure during the grouting process, and avoids affecting the grouting efficiency of the coal mine gob area.
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Description

Technical Field

[0001] The present invention relates to the technical field of coal mine grouting, and specifically relates to a grouting device for coal mine goaf grouting and a using method thereof. Background Technique

[0002] A coal mine goaf refers to a cavity or void left after the extraction of underground coal, coal gangue, etc. during coal mine operations.

[0003] In order to improve the safety of coal mine goafs, it is necessary to fill the goafs by grouting after coal mining. However, the structure of existing grouting devices is relatively simple, and the degree of intelligence is relatively poor. It is mainly operated by manual buttons. During the grouting process, it is necessary to frequently stop the machine and monitor the grouting volume and pressure, which seriously affects the grouting efficiency of coal mine goafs.

[0004] Therefore, it is necessary to invent a grouting device for coal mine goaf grouting and a using method thereof to effectively improve the degree of grouting intelligence and grouting efficiency. Summary of the Invention

[0005] To solve the problems raised in the above background technique, the purpose of the present invention is to provide a grouting device for coal mine goaf grouting and a using method thereof, which have the advantages of improving the degree of grouting intelligence and grouting efficiency, and solve the problems that the structure of existing grouting devices is relatively simple, and it is necessary to frequently stop the machine and monitor the grouting volume and pressure during the grouting process, which seriously affects the grouting efficiency of coal mine goafs.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A grouting device for coal mine goaf grouting and a using method thereof, including a grouting device;

[0007] A control circuit for controlling the grouting device;

[0008] The input end of the control circuit is electrically connected to a terminal processor. The output end of the terminal processor is bidirectionally electrically connected to a mud monitoring module. The output end of the mud monitoring module is bidirectionally electrically connected to the input end of the grouting device. The input end of the terminal processor is bidirectionally electrically connected to a timer. The input end of the terminal processor is bidirectionally electrically connected to a human-computer interaction module. The output end of the terminal processor is bidirectionally electrically connected to a wireless transceiver module. The output end of the wireless transceiver module is bidirectionally electrically connected to a cloud server. The output end of the cloud server is bidirectionally electrically connected to a data import module. The output end of the data import module is bidirectionally electrically connected to a grouting calculation model. The input end of the grouting calculation model is bidirectionally electrically connected to a storage cabinet. The output end of the grouting calculation model is electrically connected to a feedback module. The output end of the feedback module is electrically connected to the input end of the cloud server.

[0009] Preferably, the mud monitoring module of the present invention is composed of a flow monitoring module, a density monitoring module and a pressure monitoring module.

[0010] Preferably, the human-computer interaction module of the present invention is composed of a touch operation system and a data import interface.

[0011] Preferably, the grouting calculation model of the present invention is composed of a data extraction unit and a calculation and analysis unit.

[0012] Preferably, a deep learning module is bidirectionally electrically connected to the input end of the grouting calculation model, and the input end of the deep learning module is bidirectionally electrically connected to the output end of the storage cabinet.

[0013] Preferably, the deep learning module is composed of a Monte Carlo search tree and a convolutional neural network.

[0014] Preferably, the output end of the terminal processor is bidirectionally electrically connected to a data cache module, and the output end of the data cache module is bidirectionally electrically connected to the human-computer interaction module and the wireless transceiver module respectively.

[0015] A grouting device for coal mine goaf and its use method include the following steps:

[0016] S1: The user performs grouting treatment on the coal mine goaf through the grouting device. During the operation of the grouting device, the mud monitoring module monitors the operation state of the grouting device in real time and transmits the data to the terminal processor. The terminal processor matches the data generation time with the internal time of the timer and transmits it to the data cache module. At the same time, the user imports the scale data of the coal mine goaf into the data cache module through the human-computer interaction module, and the wireless transceiver module directly sends the data to the cloud server for processing;

[0017] S2: The grouting calculation model inside the cloud server can collect the long-term and short-term data stored inside the storage cabinet. After verification by the calculation and analysis unit, the proportional relationship between the scale data of the coal mine goaf and the grouting volume can be obtained and a grouting calculation model can be formed;

[0018] S3: The data import module transmits the data inside the cloud server to the grouting calculation model for calculation and obtains the subsequent grouting requirements of the grouting coal mine. The feedback module transmits the result to the cloud server. The cloud server uses the wireless transceiver module to feedback the data to the terminal processor, and the terminal processor uses the control circuit to control the operation state of the grouting device, so as to achieve the effect of improving the intelligent degree of the operation of the grouting device.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0020] 1. The present invention improves the structural functionality of existing grouting equipment, enabling the monitoring of grouting volume and pressure during the grouting process, and avoiding the impact on the grouting efficiency in coal mine gob areas.

[0021] 2. By setting up a flow monitoring module, a density monitoring module, and a pressure monitoring module, the present invention can improve the accuracy of data collection and facilitate the flexible monitoring of the grouting status by users.

[0022] 3. By setting up a touch operation system and a data import interface, the present invention can facilitate users to input data and improve the human-computer interaction performance of the grouting equipment.

[0023] 4. By setting up a data extraction unit and a calculation and analysis unit, the present invention can improve the operation efficiency of the grouting calculation model and reduce the operation pressure on the cloud server.

[0024] 5. By setting up a deep learning module, the present invention can improve the calculation accuracy of the grouting calculation model and enable the grouting calculation model to have the function of self-learning.

[0025] 6. By setting up a Monte Carlo search tree and a convolutional neural network, the present invention can utilize a multi-dimensional convolutional system to achieve the effect of improving the learning efficiency.

[0026] 7. By setting up a data cache module, the present invention can reduce the operation pressure on the terminal processor and can temporarily store short-term data at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a schematic diagram of the system of the present invention;

[0028] Figure 2 is a schematic diagram of the structure of the grouting equipment of the present invention.

[0029] In the figure: 1. Grouting equipment; 2. Control circuit; 3. Terminal processor; 4. Data cache module; 5. Flow monitoring module; 6. Density monitoring module; 7. Pressure monitoring module; 8. Wireless transceiver module; 9. Touch operation system; 10. Data import interface. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] Such as Figure 1 and Figure 2As shown in the figure, a grouting device for coal mine gob area grouting provided by the present invention includes a grouting device 1;

[0032] A control circuit 2 for controlling the grouting device 1;

[0033] The input end of the control circuit 2 is electrically connected to a terminal processor 3. The output end of the terminal processor 3 is bidirectionally electrically connected to a mud monitoring module. The output end of the mud monitoring module is bidirectionally electrically connected to the input end of the grouting device 1. The input end of the terminal processor 3 is bidirectionally electrically connected to a timer. The input end of the terminal processor 3 is bidirectionally electrically connected to a human-computer interaction module. The output end of the terminal processor 3 is bidirectionally electrically connected to a wireless transceiver module 8. The output end of the wireless transceiver module 8 is bidirectionally electrically connected to a cloud server. The output end of the cloud server is bidirectionally electrically connected to a data import module. The output end of the data import module is bidirectionally electrically connected to a grouting calculation model. The input end of the grouting calculation model is bidirectionally electrically connected to a storage cabinet. The output end of the grouting calculation model is electrically connected to a feedback module. The output end of the feedback module is electrically connected to the input end of the cloud server.

[0034] Reference Figure 1 , the mud monitoring module is composed of a flow rate monitoring module 5, a density monitoring module 6 and a pressure monitoring module 7.

[0035] As a technical optimization scheme of the present invention, by setting the flow rate monitoring module 5, the density monitoring module 6 and the pressure monitoring module 7, the accuracy of data collection can be improved, and it is convenient for users to flexibly monitor the grouting state.

[0036] Reference Figure 1 , the human-computer interaction module is composed of a touch operation system 9 and a data import interface 10.

[0037] As a technical optimization scheme of the present invention, by setting the touch operation system 9 and the data import interface 10, it is convenient for users to input data and improve the human-computer interaction performance of the grouting device 1.

[0038] Reference Figure 1 , the grouting calculation model is composed of a data extraction unit and a calculation and analysis unit.

[0039] As a technical optimization scheme of the present invention, by setting the data extraction unit and the calculation and analysis unit, the operation efficiency of the grouting calculation model can be improved, and the operation pressure of the cloud server can be reduced.

[0040] Reference Figure 1 , the input end of the grouting calculation model is bidirectionally electrically connected to a deep learning module. The input end of the deep learning module is bidirectionally electrically connected to the output end of the storage cabinet.

[0041] As a technical optimization solution of the present invention, by setting up a deep learning module, the calculation accuracy of the grouting calculation model can be improved, enabling the grouting calculation model to have the function of self-learning.

[0042] Reference Figure 1 , the deep learning module consists of a Monte Carlo search tree and a convolutional neural network.

[0043] As a technical optimization solution of the present invention, by setting up a Monte Carlo search tree and a convolutional neural network, the effect of improving the learning efficiency can be achieved by using a multi-dimensional convolutional system.

[0044] Reference Figure 1 , the output end of the terminal processor 3 is bidirectionally electrically connected to a data cache module 4, and the output end of the data cache module 4 is bidirectionally electrically connected to the human-computer interaction module and the wireless transceiver module 8 respectively.

[0045] As a technical optimization solution of the present invention, by setting up the data cache module 4, the operating pressure of the terminal processor 3 can be reduced, and short-term data can be temporarily stored at the same time.

[0046] Reference Figure 1 , a method for using a grouting device for coal mine gob area grouting includes the following steps:

[0047] S1: The user performs grouting treatment on the coal mine gob area through the grouting device 1. During the operation of the grouting device 1, the mud monitoring module monitors the operation status of the grouting device 1 in real time and transmits the data to the terminal processor 3. The terminal processor 3 matches the data generation time with the internal time of the timer and transmits it to the data cache module 4. At the same time, the user imports the scale data of the coal mine gob area into the data cache module 4 through the human-computer interaction module, and the wireless transceiver module 8 directly sends the data to the cloud server for processing;

[0048] S2: The grouting calculation model inside the cloud server can collect long-term and short-term data stored inside the storage cabinet. After verification by the calculation and analysis unit, the proportional relationship between the scale data of the coal mine gob area and the grouting volume can be obtained and a grouting calculation model can be formed;

[0049] S3: The data import module transmits the data inside the cloud server to the grouting calculation model for calculation and obtains the subsequent grouting requirements of the grouting coal mine. The feedback module transmits the result to the cloud server, and the cloud server uses the wireless transceiver module 8 to feedback the data to the terminal processor 3. The terminal processor 3 uses the control circuit 2 to control the operation status of the grouting device 1, thereby achieving the effect of improving the intelligent degree of the operation of the grouting device 1.

[0050] Working principle and usage process of the present invention: During use, the user performs grouting treatment on the goaf of a coal mine through the grouting device 1. During the operation of the grouting device 1, the mud monitoring module monitors the operating state of the grouting device 1 in real time and transmits the data to the terminal processor 3. The terminal processor 3 matches the data generation time with the internal time of the timer and transmits it to the data cache module 4. At the same time, the user imports the scale data of the coal mine goaf into the data cache module 4 through the human-computer interaction module. The wireless transceiver module 8 directly sends the data to the cloud server for processing. The grouting calculation model inside the cloud server can collect the long-term and short-term data stored inside the storage cabinet. After verification by the calculation and analysis unit, the proportional relationship between the scale data of the coal mine goaf and the grouting volume can be obtained and a grouting calculation model is formed. The data import module transmits the data inside the cloud server into the grouting calculation model for calculation and obtains the subsequent grouting requirements of the grouted coal mine. The feedback module transmits the result to the cloud server, and the cloud server uses the wireless transceiver module 8 to feedback the data to the terminal processor 3. The terminal processor 3 uses the control circuit 2 to control the operating state of the grouting device 1, thereby achieving the effect of improving the intelligent degree of the operation of the grouting device 1.

[0051] In summary, the grouting device for grouting in a coal mine goaf and its usage method improve the structural functionality of the existing grouting device 1, and can monitor the grouting volume and pressure during grouting, avoiding the influence on the grouting efficiency of the coal mine goaf.

[0052] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0053] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for using a grouting device for grouting in a goaf of a coal mine, characterized in that: The usage method includes the following steps: S1: The user performs grouting treatment on the goaf of the coal mine through a grouting device. The grouting device includes a control circuit for controlling the grouting device. The input end of the control circuit is electrically connected to a terminal processor. The output end of the terminal processor is bidirectionally electrically connected to a mud monitoring module. The mud monitoring module consists of a flow monitoring module, a density monitoring module, and a pressure monitoring module. The output end of the mud monitoring module is bidirectionally electrically connected to the input end of the grouting device. The input end of the terminal processor is bidirectionally electrically connected to a timer. The input end of the terminal processor is bidirectionally electrically connected to a human-computer interaction module. The output end of the terminal processor is bidirectionally electrically connected to a wireless transceiver module. The output end of the wireless transceiver module is bidirectionally electrically connected to a cloud server. The output end of the cloud server is bidirectionally electrically connected to a data import module. The output end of the data import module is bidirectionally electrically connected to a grouting calculation model. The grouting calculation model consists of a data extraction unit and a calculation and analysis unit. The input end of the grouting calculation model is bidirectionally electrically connected to a storage cabinet. The output end of the grouting calculation model is electrically connected to a feedback module. The output end of the feedback module is electrically connected to the input end of the cloud server. S2: During the operation of the grouting device, the mud monitoring module monitors the operation status of the grouting device in real time and transmits the data to the terminal processor. The terminal processor matches the data generation time with the internal time of the timer and transmits it to the data cache module. At the same time, the user imports the scale data of the coal mine goaf into the data cache module using the human-computer interaction module. The wireless transceiver module directly sends the data to the cloud server for processing. S3: The grouting calculation model inside the cloud server can collect the long-term and short-term data stored inside the storage cabinet. After being verified by the calculation and analysis unit, it can obtain the proportional relationship between the scale data of the coal mine goaf and the grouting volume and form a grouting calculation model. S4: The data import module transmits the data inside the cloud server to the grouting calculation model for calculation and obtains the subsequent grouting requirements of the grouted coal mine. The feedback module transmits the result to the cloud server. The cloud server uses the wireless transceiver module to feedback the data to the terminal processor. The terminal processor uses the control circuit to control the operation status of the grouting device, thereby achieving the effect of improving the intelligent degree of the operation of the grouting device.

2. The usage method of a grouting device for grouting in coal mine goafs according to claim 1, characterized in that: The human-computer interaction module consists of a touch operation system and a data import interface.

3. The usage method of a grouting device for grouting in a coal mine goaf according to claim 1, characterized in that: The input end of the grouting calculation model is bidirectionally electrically connected to a deep learning module. The input end of the deep learning module is bidirectionally electrically connected to the output end of the storage cabinet.

4. The usage method of a grouting device for grouting in a coal mine goaf according to claim 3, characterized in that: The deep learning module consists of a Monte Carlo search tree and a convolutional neural network.

5. The usage method of a grouting device for grouting in coal mine gob areas according to claim 1, characterized in that: The output end of the terminal processor is bidirectionally electrically connected to a data cache module. The output end of the data cache module is bidirectionally electrically connected to the human-computer interaction module and the wireless transceiver module respectively.

Citation Information

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