Man-vehicle linkage control system in coal mines
In order to ensure the safety of people in the roadway during the movement of unmanned transportation vehicles in coal mines, a man-vehicle linkage control system in coal mines is proposed. A deep separable convolutional network is used to replace the DarkNet-53 feature extraction network of the YOL...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2020-12-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17679 |
| _version_ | 1818720905250996224 |
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| author | SUN Jiechen LI Jingzhao WANG Jiwei XU Zhi |
| author_facet | SUN Jiechen LI Jingzhao WANG Jiwei XU Zhi |
| author_sort | SUN Jiechen |
| collection | DOAJ |
| description | In order to ensure the safety of people in the roadway during the movement of unmanned transportation vehicles in coal mines, a man-vehicle linkage control system in coal mines is proposed. A deep separable convolutional network is used to replace the DarkNet-53 feature extraction network of the YOLOv3 target detection model to improve the real-time performance of target detection. Based on the idea of upsampling and feature pyramid network, the feature map scale is expanded so as to ensure the accuracy of target detection. The improved YOLOv3 target detection model is used to detect the position of man in coal mines as the vehicle is moving. Based on the distance between the man and the vehicle, the PID control optimized by the genetic algorithm is used to achieve speed and precise adjustment of the vehicle. The experimental results show that the system can quickly detect the position of target man and control the vehicle speed according to the distance between the man and the vehicle with high reliability. |
| first_indexed | 2024-12-17T20:30:16Z |
| format | Article |
| id | doaj.art-0ac2ce0921ad4bb5bc12b2a75fa433ac |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-12-17T20:30:16Z |
| publishDate | 2020-12-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-0ac2ce0921ad4bb5bc12b2a75fa433ac2022-12-21T21:33:37ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2020-12-01461271210.13272/j.issn.1671-251x.17679Man-vehicle linkage control system in coal minesSUN JiechenLI JingzhaoWANG JiweiXU ZhiIn order to ensure the safety of people in the roadway during the movement of unmanned transportation vehicles in coal mines, a man-vehicle linkage control system in coal mines is proposed. A deep separable convolutional network is used to replace the DarkNet-53 feature extraction network of the YOLOv3 target detection model to improve the real-time performance of target detection. Based on the idea of upsampling and feature pyramid network, the feature map scale is expanded so as to ensure the accuracy of target detection. The improved YOLOv3 target detection model is used to detect the position of man in coal mines as the vehicle is moving. Based on the distance between the man and the vehicle, the PID control optimized by the genetic algorithm is used to achieve speed and precise adjustment of the vehicle. The experimental results show that the system can quickly detect the position of target man and control the vehicle speed according to the distance between the man and the vehicle with high reliability.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17679underground unmanned transportationman-vehicle linkage controltarget person detectionimproved yolov3vehicle speed controlgenetic algorithmpid control |
| spellingShingle | SUN Jiechen LI Jingzhao WANG Jiwei XU Zhi Man-vehicle linkage control system in coal mines Gong-kuang zidonghua underground unmanned transportation man-vehicle linkage control target person detection improved yolov3 vehicle speed control genetic algorithm pid control |
| title | Man-vehicle linkage control system in coal mines |
| title_full | Man-vehicle linkage control system in coal mines |
| title_fullStr | Man-vehicle linkage control system in coal mines |
| title_full_unstemmed | Man-vehicle linkage control system in coal mines |
| title_short | Man-vehicle linkage control system in coal mines |
| title_sort | man vehicle linkage control system in coal mines |
| topic | underground unmanned transportation man-vehicle linkage control target person detection improved yolov3 vehicle speed control genetic algorithm pid control |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17679 |
| work_keys_str_mv | AT sunjiechen manvehiclelinkagecontrolsystemincoalmines AT lijingzhao manvehiclelinkagecontrolsystemincoalmines AT wangjiwei manvehiclelinkagecontrolsystemincoalmines AT xuzhi manvehiclelinkagecontrolsystemincoalmines |