Multi-support collaborative advancement scheme judgment and formulation method

Abstract

A multi-support collaborative advancement scheme judgment and formulation method, realized by a fully mechanized coal mining face multi-support collaborative advancement scheme determination system, and comprising a data acquisition system and a post-processing system, wherein the post-processing system comprises a data processing system, a result judgment system, a comprehensive analysis system, a scheme formulation system, and an output and storage system. The multi-support collaborative advancement scheme judgment and control method can, on the basis of the characteristics of a coal mining device, intelligently determine the number of collaborative advancement supports and formulate an advancement scheme, thereby effectively solving the problem of delayed advancement of hydraulic supports due to the excessively fast traction speed of coal mining devices, providing crucial hydraulic support to facilitate the reform towards high-efficiency coal mining, effectively improving the intelligence level of support adjustment and collaborative advancement during coal mining, facilitating improvement of the production efficiency, and ensuring the working safety.

Description

A method for judging and formulating a multi-support collaborative propulsion plan Technical Field

[0001] The present invention relates to a method for determining a multi-support collaborative advancement plan for a fully mechanized mining face, and in particular to a method for judging and formulating a multi-support collaborative advancement plan. Background Art

[0002] To adapt to deep coal mining and improve coal mining efficiency, coal mining methods have gradually evolved into ultra-long working faces. In these ultra-long working faces, the shearer's traction speed is increasing to accommodate the wider mining area. However, the current hydraulic support system has shown its inadequacy in handling high-speed traction under ultra-long working faces. This deficiency manifests itself in the fact that the method of advancing hydraulic supports one by one is no longer suitable for the high-speed traction of the shearer under ultra-long working faces, resulting in untimely support advancement. This can easily cause the roof of the mining face to collapse due to insufficient support force, directly threatening the lives of workers. Therefore, it is urgent to upgrade and innovate the hydraulic support control system to meet the needs of modern ultra-long working face mining and ensure a safe and stable working environment.

[0003] Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a method for judging and formulating a multi-support collaborative advancement plan. By installing sensors on the coal mining machine, hydraulic support, and scraper conveyor, the equipment conditions of coal mining are detected. According to the characteristics of the coal mining equipment, the number of collaborative advancement supports can be intelligently determined and a advancement plan can be formulated. This effectively solves the problem of untimely advancement of the hydraulic support caused by the coal mining machine's excessive traction speed, and provides key support in hydraulic support for adapting to the reform of high-efficiency coal mining.

[0005] The technical solution of the present invention is:

[0006] On the one hand, a method for judging and formulating a multi-scaffold collaborative propulsion plan includes a data acquisition system and a post-processing system; the post-processing system includes a data processing system, a result judgment system, a comprehensive analysis system, a plan formulation system, and an output and storage system;

[0007] The data acquisition system includes three sets of laser rangefinders, one set of speed sensors, and one set of flow sensors. Laser rangefinder ① is installed on the shearer drum to monitor the shearer's cutting depth; laser rangefinder ② is installed on the side of the scraper conveyor's middle trough to monitor the axial and radial positions of the scraper conveyor's middle trough; laser rangefinder ③ is installed in the gap between adjacent middle troughs to monitor the spacing between the middle troughs; the speed sensor is installed at the geometric center of the shearer to detect the shearer's traction speed; the flow sensor is installed in the hydraulic cylinder of the hydraulic support to monitor the flow of liquid in the hydraulic cylinder. The output end of the data acquisition system is connected to the computer via a data cable and input into the data processing system;

[0008] The data processing system receives the data sent back by the data acquisition system, and performs filtering, rectification, classification, amplification, missing value processing, smoothing filtering, data grouping, and calculation of basic descriptive statistics on the data to obtain real-time data r1, r2, r3, r4, and r5 of the coal mining machine cutting depth, traction speed, hydraulic support moving speed, curvature of the middle trough of the scraper conveyor, and the middle trough spacing;

[0009] The comprehensive analysis system is used to complete the drawing of basic statistical graphics, data normalization and data tracking work, and conduct real-time comprehensive analysis of monitoring results based on the data to produce a multi-stent coordinated advancement plan that meets the conditions of real-time data r1, r2, r3, r4, and r5;

[0010] The output and storage system is used to integrate and process all result data and complete the output and storage of the result data; after the integration operation, the monitoring results are output to the computer display screen, and the start and stop of the coal mining machine are controlled according to the monitoring results.

[0011] On the other hand, a method for judging and formulating a multi-support collaborative advancement plan is implemented by a multi-support collaborative advancement plan determination system for a fully mechanized mining face, specifically comprising the following steps:

[0012] Step 1: Before the coal mining machine is put into operation, the pre-set standards A, B, and C are input into the post-processing system;

[0013] Standard A is the maximum number of simultaneous frame shifts supported under the hydraulic support frame shifting speed standard; Standard B is the maximum number of simultaneous frame shifts supported under the scraper conveyor curvature standard; Standard C is the maximum number of simultaneous frame shifts supported under the middle trough spacing standard.

[0014] Step 2: During the operation of the coal mining machine, the data acquisition system collects various characteristic parameters in real time and outputs the analog signal to the computer's AD board through the data line. The AD board converts the analog signal into digital data that can be recognized by the computer and transmits it to the data processing system.

[0015] Step 3: The data processing system receives the data sent back by the data acquisition system, and performs filtering, rectification, classification, amplification, missing value processing, smoothing filtering, data grouping, and calculation of basic descriptive statistics to obtain the real-time data r1, r2, r3, r4, and r5 of the shearer cutting depth, traction speed, hydraulic support frame moving speed, the curvature of the scraper conveyor middle trough, and the middle trough spacing;

[0016] Step 4: Obtain the shearer cutting depth and traction speeds r1 and r2 through the data processing system to determine the maximum number of simultaneous frame moves N under the shearer data standard;

[0017] Step 5: The result judgment system compares the data N obtained by reading the data processing system with the preset hydraulic support moving speed standard A:

[0018] When N meets standard A, the maximum number of simultaneous frame moves N also meets the hydraulic support frame moving speed standard A, and N can continue to test the next standard;

[0019] When standard A is not met, it means that the maximum number of simultaneous frame shifts N cannot be achieved under the hydraulic support frame shift speed standard A. It is necessary to reduce N and check again whether the reduced N can meet standard A. The cycle is repeated until N can be achieved under the hydraulic support frame shift speed standard A.

[0020] Step 6: Compare the data N with the pre-set scraper conveyor curvature standard B:

[0021] When N meets standard A, the maximum number of simultaneous rack moves N also meets the scraper conveyor curvature standard B, and N can continue to test the next standard;

[0022] When standard B is not met, it means that the maximum number of simultaneous rack moves N cannot be achieved under the scraper conveyor curvature standard B. N needs to be reduced and tested again to see if the reduced N can meet standard B. The cycle continues until N can be achieved under the scraper conveyor curvature standard B.

[0023] Step 7: Compare the data N with the preset middle slot spacing standard C:

[0024] When N meets the standard C, the maximum number of simultaneous rack moves N also meets the middle slot spacing standard C, and N can be used as the final number of simultaneous rack moves for post-processing;

[0025] When standard C is not met, it means that the maximum number of simultaneous rack moves N cannot be achieved under the middle slot spacing standard C. N needs to be reduced and then tested again to see if the reduced N can meet standard C. The cycle continues until N can be achieved under the middle slot spacing standard C.

[0026] Step 8: Under the processing of the comprehensive analysis system, the monitoring results are comprehensively analyzed in real time in combination with the data, and a multi-support coordinated moving plan that meets the conditions of real-time data r1, r2, r3, r4, and r5 is produced, and a command is issued to the hydraulic support system to execute the multi-support coordinated moving plan formulated by the comprehensive analysis system.

[0027] Step 9: The output and storage system outputs real-time data r1, r2, r3, r4, r5 and detailed data of the multi-bracket coordinated moving plan. The data is directly output and stored through the output and storage system.

[0028] The beneficial effects of adopting the above technical method are:

[0029] This invention proposes an innovative method for determining and controlling the coordinated advancement of multiple supports. This method utilizes precision sensors installed on key equipment, such as shearers, hydraulic supports, and scraper conveyors, to monitor multiple conditions of the coal mining equipment in real time. Based on the characteristics of the coal mining equipment and leveraging advanced intelligent algorithms, the system intelligently determines the number of supports to be coordinated and formulates a corresponding advancement strategy based on real-time calculations. This innovative method effectively addresses the challenge of delayed hydraulic support advancement caused by excessive shearer traction speeds. Through precise analysis of real-time data, the system intelligently determines the hydraulic support advancement method to ensure synchronization and coordination with the high-speed movement of the shearer. This advanced control method provides a novel solution to overcome the shortcomings of traditional hydraulic support systems under high-speed traction conditions and provides key support for hydraulic support systems to adapt to the reform of high-efficiency coal mining. By optimizing the coordinated advancement strategy, the overall efficiency of coal mining can be improved while also reducing the risk of accidents and ensuring the safety of workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] FIG1 is a flowchart of a system for determining a multi-support coordinated advancement plan for a fully mechanized mining face according to the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0032] The technical solution of the present invention is:

[0033] On the one hand, a method for judging and formulating a multi-scaffold collaborative propulsion plan includes a data acquisition system and a post-processing system; the post-processing system includes a data processing system, a result judgment system, a comprehensive analysis system, a plan formulation system, and an output and storage system;

[0034] The data acquisition system includes three sets of laser rangefinders, one set of speed sensors, and one set of flow sensors. Laser rangefinder ① is installed on the shearer drum to monitor the shearer's cutting depth; laser rangefinder ② is installed on the side of the scraper conveyor's middle trough to monitor the axial and radial positions of the scraper conveyor's middle trough; laser rangefinder ③ is installed in the gap between adjacent middle troughs to monitor the spacing between the middle troughs; the speed sensor is installed at the geometric center of the shearer to detect the shearer's traction speed; the flow sensor is installed in the hydraulic cylinder of the hydraulic support to monitor the flow of liquid in the hydraulic cylinder. The output end of the data acquisition system is connected to the computer via a data cable and input into the data processing system;

[0035] The data processing system receives the data sent back by the data acquisition system, and performs filtering, rectification, classification, amplification, missing value processing, smoothing filtering, data grouping, and calculation of basic descriptive statistics on the data to obtain real-time data r1, r2, r3, r4, and r5 of the coal mining machine cutting depth, traction speed, hydraulic support moving speed, curvature of the middle trough of the scraper conveyor, and the middle trough spacing;

[0036] The comprehensive analysis system is used to complete the drawing of basic statistical graphics, data normalization and data tracking work, and conduct real-time comprehensive analysis of monitoring results based on the data to produce a multi-stent coordinated advancement plan that meets the conditions of real-time data r1, r2, r3, r4, and r5;

[0037] The output and storage system is used to integrate and process all result data and complete the output and storage of the result data; after the integration operation, the monitoring results are output to the computer display screen, and the start and stop of the coal mining machine are controlled according to the monitoring results.

[0038] On the other hand, a method for judging and formulating a multi-support collaborative advancement plan is implemented by a multi-support collaborative advancement plan determination system for a fully mechanized mining face, specifically comprising the following steps:

[0039] Step 1: Before the coal mining machine is put into operation, the pre-set standards A, B, and C are input into the post-processing system;

[0040] Standard A is the maximum number of simultaneous frame shifts supported under the hydraulic support frame shifting speed standard; Standard B is the maximum number of simultaneous frame shifts supported under the scraper conveyor curvature standard; Standard C is the maximum number of simultaneous frame shifts supported under the middle trough spacing standard.

[0041] Step 2: During the operation of the coal mining machine, the data acquisition system collects various characteristic parameters in real time and outputs the analog signal to the computer's AD board through the data line. The AD board converts the analog signal into digital data that can be recognized by the computer and transmits it to the data processing system.

[0042] Step 3: The data processing system receives the data sent back by the data acquisition system, and performs filtering, rectification, classification, amplification, missing value processing, smoothing filtering, data grouping, and calculation of basic descriptive statistics to obtain the real-time data r1, r2, r3, r4, and r5 of the shearer cutting depth, traction speed, hydraulic support frame moving speed, the curvature of the scraper conveyor middle trough, and the middle trough spacing;

[0043] Step 4: Obtain the shearer cutting depth and traction speeds r1 and r2 through the data processing system to determine the maximum number of simultaneous frame moves N under the shearer data standard;

[0044] Step 5: The result judgment system compares the data N obtained by reading the data processing system with the preset hydraulic support moving speed standard A:

[0045] When N meets standard A, the maximum number of simultaneous frame moves N also meets the hydraulic support frame moving speed standard A, and N can continue to test the next standard;

[0046] When standard A is not met, it means that the maximum number of simultaneous frame shifts N cannot be achieved under the hydraulic support frame shift speed standard A. It is necessary to reduce N and check again whether the reduced N can meet standard A. The cycle is repeated until N can be achieved under the hydraulic support frame shift speed standard A.

[0047] Step 6: Compare the data N with the pre-set scraper conveyor curvature standard B:

[0048] When N meets standard A, the maximum number of simultaneous rack moves N also meets the scraper conveyor curvature standard B, and N can continue to test the next standard;

[0049] When standard B is not met, it means that the maximum number of simultaneous rack moves N cannot be achieved under the scraper conveyor curvature standard B. N needs to be reduced and tested again to see if the reduced N can meet standard B. The cycle continues until N can be achieved under the scraper conveyor curvature standard B.

[0050] Step 7: Compare the data N with the preset middle slot spacing standard C:

[0051] When N meets the standard C, the maximum number of simultaneous rack moves N also meets the middle slot spacing standard C, and N can be used as the final number of simultaneous rack moves for post-processing;

[0052] When standard C is not met, it means that the maximum number of simultaneous rack moves N cannot be achieved under the middle slot spacing standard C. N needs to be reduced and then tested again to see if the reduced N can meet standard C. The cycle continues until N can be achieved under the middle slot spacing standard C.

[0053] Step 8: Under the processing of the comprehensive analysis system, the monitoring results are comprehensively analyzed in real time in combination with the data, and a multi-support coordinated moving plan that meets the conditions of real-time data r1, r2, r3, r4, and r5 is produced, and a command is issued to the hydraulic support system to execute the multi-support coordinated moving plan formulated by the comprehensive analysis system.

[0054] Step 9: The output and storage system outputs real-time data r1, r2, r3, r4, r5 and detailed data of the multi-bracket coordinated moving plan. The data is directly output and stored through the output and storage system.

[0055] This invention fully considers the current technical challenges in the field of coal mining and proposes a method for judging and controlling the coordinated advancement of multiple supports to address the problem of delayed hydraulic support advancement caused by the excessively fast traction speed of the shearer. This method configures high-precision sensors on key equipment such as the shearer, hydraulic supports, and scraper conveyors to achieve real-time monitoring of the conditions of the coal mining equipment. It also uses intelligent algorithms to make real-time decisions, intelligently determine the number of coordinated advancement supports, and formulate advancement plans. This innovative method not only overcomes the shortcomings of traditional hydraulic support systems under high-speed traction conditions, but also provides critical hydraulic support for high-efficiency coal mining. By optimizing the coordinated advancement strategy, not only is mining efficiency improved, but the risk of accidents is also expected to be reduced, providing feasibility and reliability technical support for the technological reform of modern high-efficiency coal mining. This innovative achievement has significant academic and practical value in the field of hydraulic support and provides a new technical path for the sustainable development of future coal mining projects.

Claims

1. A method for judging and formulating a multi-bracket collaborative propulsion plan, characterized in that: It includes a data acquisition system and a computer software system; the post-processing system includes a data processing system, a result judgment system, a comprehensive analysis system, a program formulation system, and an output and storage system; The data acquisition system includes three sets of laser rangefinders, one set of speed sensors, and one set of flow sensors. Laser rangefinder ① is installed on the shearer drum to monitor the shearer's cutting depth; laser rangefinder ② is installed on the side of the scraper conveyor's middle trough to monitor the axial and radial positions of the scraper conveyor's middle trough; laser rangefinder ③ is installed in the gap between adjacent middle troughs to monitor the distance between the middle troughs; the speed sensor is installed at the shearer's support position to monitor the shearer's traction speed; the flow sensor is installed in the hydraulic cylinder of the hydraulic support to monitor the liquid flow in the hydraulic cylinder. The output end of the data acquisition system is connected to a computer via a data cable and input into the data processing system. The data processing system receives the data sent back by the data acquisition system, and performs filtering, rectification, classification, amplification, missing value processing, smoothing filtering, data grouping, and calculation of basic descriptive statistics on the data to obtain real-time data r1, r2, r3, r4, and r5 of the coal mining machine cutting depth, traction speed, hydraulic support moving speed, curvature of the middle trough of the scraper conveyor, and the middle trough spacing; The comprehensive analysis system is used to complete the drawing of basic statistical graphics, data normalization and data tracking work, and conduct real-time comprehensive analysis of monitoring results based on the data to produce a multi-stent coordinated advancement plan that meets the conditions of real-time data r1, r2, r3, r4, and r5; The output and storage system is used to integrate and process all result data and complete the output and storage of the result data; after the integration operation, the monitoring results are output to the computer display screen, and the start and stop of the coal mining machine are controlled according to the monitoring results.

2. A method for judging and formulating a multi-support collaborative advancement scheme, based on claim 1, a system for determining a multi-support collaborative advancement scheme for a fully mechanized mining face, characterized in that: The following steps are involved: Step 1: Before the coal mining machine is operated, the pre-set standards A, B, and C are input into the post-processing system. middle; Standard A is the maximum number of simultaneous frame shifts supported under the hydraulic support frame shifting speed standard; Standard B is the maximum number of simultaneous frame shifts supported under the scraper conveyor curvature standard; Standard C is the maximum number of simultaneous frame shifts supported under the middle trough spacing standard. Step 2: During the operation of the coal mining machine, the data acquisition system collects various characteristic parameters in real time and outputs the analog signal to the computer's AD board through the data line. The AD board converts the analog signal into digital data that can be recognized by the computer and transmits it to the data processing system. Step 3: The data processing system receives the data sent back by the data acquisition system, and performs filtering, rectification, classification, amplification, missing value processing, smoothing filtering, data grouping, and calculation of basic descriptive statistics to obtain the real-time data r1, r2, r3, r4, and r5 of the shearer cutting depth, traction speed, hydraulic support frame moving speed, the curvature of the scraper conveyor middle trough, and the middle trough spacing; Step 4: Obtain the shearer cutting depth and traction speeds r1 and r2 through the data processing system to determine the maximum number of simultaneous frame moves N under the shearer data standard; Step 5: The result judgment system compares the data N obtained by reading the data processing system with the preset hydraulic support moving speed standard A: When N meets standard A, the maximum number of simultaneous frame moves N also meets the hydraulic support frame moving speed standard A, and N can continue to test the next standard; When standard A is not met, it means that the maximum number of simultaneous frame shifts N cannot be achieved under the hydraulic support frame shift speed standard A. It is necessary to reduce N and check again whether the reduced N can meet standard A. The cycle is repeated until N can be achieved under the hydraulic support frame shift speed standard A. Step 6: Compare the data N with the pre-set scraper conveyor curvature standard B: When N meets standard A, the maximum number of simultaneous rack moves N also meets the scraper conveyor curvature standard B, and N can continue to test the next standard; When standard B is not met, it means that the maximum number of simultaneous rack moves N cannot be achieved under the scraper conveyor curvature standard B. N needs to be reduced and tested again to see if the reduced N can meet standard B. The cycle continues until N can be achieved under the scraper conveyor curvature standard B. Step 7: Compare the data N with the preset middle slot spacing standard C: When N meets the standard C, the maximum number of simultaneous rack moves N also meets the middle slot spacing standard C, and N can be used as the final number of simultaneous rack moves for post-processing; When standard C is not met, it means that the maximum number of simultaneous rack moves N cannot be achieved under the middle slot spacing standard C. N needs to be reduced and then tested again to see if the reduced N can meet standard C. The cycle continues until N can be achieved under the middle slot spacing standard C. Step 8: Under the processing of the comprehensive analysis system, the monitoring results are analyzed in real time in combination with the data, and a multi-support coordinated moving plan that meets the conditions of real-time data r1, r2, r3, r4, and r5 is produced, and a command is issued to the hydraulic support system to execute the multi-support coordinated moving plan formulated by the comprehensive analysis system. Step 9: The output and storage system outputs real-time data r1, r2, r3, r4, r5 and detailed data of the multi-bracket coordinated moving plan. The data is directly output and stored through the output and storage system.

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