Microseismic Source Location Method and Application Based on NM-PSO Algorithm
Microseismic source location is the core of microseismic monitoring technology in coal mining; it is also the advantage of microseismic monitoring technology compared with other monitoring methods. The source location method directly determines the accuracy and stability of the source location resul...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/17/8796 |
| _version_ | 1827666991088926720 |
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| author | Ze Liao Tao Feng Weijian Yu Dongge Cui Genshui Wu |
| author_facet | Ze Liao Tao Feng Weijian Yu Dongge Cui Genshui Wu |
| author_sort | Ze Liao |
| collection | DOAJ |
| description | Microseismic source location is the core of microseismic monitoring technology in coal mining; it is also the advantage of microseismic monitoring technology compared with other monitoring methods. The source location method directly determines the accuracy and stability of the source location results. Based on the problem of non-benign arrays of microseismic monitoring sensors in the coal mining process, a fast location method of microseismic source in coal mining based on the NM-PSO algorithm is proposed. The core idea of the NM-PSO algorithm is to use the particle swarm optimization (PSO) algorithm for global optimization, reduce the size of the solution space and provide the optimized initial value for the Nelder Mead simplex algorithm (NM), and then use the fast iteration characteristics of the NM algorithm to accelerate the convergence of the model. The NM-PSO algorithm is analyzed by an example and verified by the microseismic source location engineering. The NM-PSO algorithm has a significant improvement in the source location accuracy. The average location errors in all directions are (5.65 m, 5.01 m, and 7.21 m), all Within the acceptable range, and they showed good universality and stability. The proposed NM-PSO algorithm can provide a general fast seismic source localization method for different sensor array deployment methods, which significantly improves the stability and result in the accuracy of the seismic source localization algorithm and has good application value; this method can provide new ideas for research in microseismic localization in coal mining. |
| first_indexed | 2024-03-10T03:00:23Z |
| format | Article |
| id | doaj.art-007ccbb9dbf345438c1ddb6b42aedce5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:00:23Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-007ccbb9dbf345438c1ddb6b42aedce52023-11-23T12:47:04ZengMDPI AGApplied Sciences2076-34172022-09-011217879610.3390/app12178796Microseismic Source Location Method and Application Based on NM-PSO AlgorithmZe Liao0Tao Feng1Weijian Yu2Dongge Cui3Genshui Wu4School of Resource and Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Resource and Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Resource and Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Resource and Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Beijing 100083, ChinaMicroseismic source location is the core of microseismic monitoring technology in coal mining; it is also the advantage of microseismic monitoring technology compared with other monitoring methods. The source location method directly determines the accuracy and stability of the source location results. Based on the problem of non-benign arrays of microseismic monitoring sensors in the coal mining process, a fast location method of microseismic source in coal mining based on the NM-PSO algorithm is proposed. The core idea of the NM-PSO algorithm is to use the particle swarm optimization (PSO) algorithm for global optimization, reduce the size of the solution space and provide the optimized initial value for the Nelder Mead simplex algorithm (NM), and then use the fast iteration characteristics of the NM algorithm to accelerate the convergence of the model. The NM-PSO algorithm is analyzed by an example and verified by the microseismic source location engineering. The NM-PSO algorithm has a significant improvement in the source location accuracy. The average location errors in all directions are (5.65 m, 5.01 m, and 7.21 m), all Within the acceptable range, and they showed good universality and stability. The proposed NM-PSO algorithm can provide a general fast seismic source localization method for different sensor array deployment methods, which significantly improves the stability and result in the accuracy of the seismic source localization algorithm and has good application value; this method can provide new ideas for research in microseismic localization in coal mining.https://www.mdpi.com/2076-3417/12/17/8796microseismic monitoringsource locationNelder Mead simplex algorithmparticle swarm optimization algorithm |
| spellingShingle | Ze Liao Tao Feng Weijian Yu Dongge Cui Genshui Wu Microseismic Source Location Method and Application Based on NM-PSO Algorithm Applied Sciences microseismic monitoring source location Nelder Mead simplex algorithm particle swarm optimization algorithm |
| title | Microseismic Source Location Method and Application Based on NM-PSO Algorithm |
| title_full | Microseismic Source Location Method and Application Based on NM-PSO Algorithm |
| title_fullStr | Microseismic Source Location Method and Application Based on NM-PSO Algorithm |
| title_full_unstemmed | Microseismic Source Location Method and Application Based on NM-PSO Algorithm |
| title_short | Microseismic Source Location Method and Application Based on NM-PSO Algorithm |
| title_sort | microseismic source location method and application based on nm pso algorithm |
| topic | microseismic monitoring source location Nelder Mead simplex algorithm particle swarm optimization algorithm |
| url | https://www.mdpi.com/2076-3417/12/17/8796 |
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