Academic Journal of Engineering and Technology Science, 2024, 7(4); doi: 10.25236/AJETS.2024.070411.
Yuan Wan1,2, Dezhong Xin1,2, Jun Wan1,2, Hang Chen1,2
1CCTEG Chongqing Research Institute, Chongqing, 400039, China
2State Key Laboratory of Coal Mine Disaster Prevention and Control, Chongqing, 400039, China
Coal mine gas disasters pose a great threat to the safety of people and property. Pre-extraction through drilling construction is the main means of gas management. On the premise of realizing the automatic construction of single gas extraction drilling rig, the cluster control of automatic gas extraction drilling rig to realize the cooperative operation of multiple drilling rigs is an effective way to further improve the automation level of downhole drilling construction and consolidate the effect of automatic drilling rig in reducing manpower and increasing efficiency. Based on the brief description of the current application status and scientific research progress of automatic gas extraction drilling rig cluster control technology, four key technologies are proposed to realize cluster control: automatic drilling rig downhole precise positioning and automatic navigation and obstacle avoidance technology; automatic drilling rig intelligent drilling technology; automatic drilling rig cluster intelligent sensing and multi-rig collaborative control technology; automatic drilling rig group multi-system integrated management operation platform. To realize unmanned downhole disaster, it lays the technical foundation for the realization of unmanned downhole disaster management. The development trend of automatic gas extraction drilling rig cluster control is foreseen, which provides the possibility to promote the construction of intelligent mine in China.
Gas control; Automatic drilling rig; Cluster control; Intelligent drilling; Intelligent perception; Intelligent mine
Yuan Wan, Dezhong Xin, Jun Wan, Hang Chen. Prospect of Cluster Control Technology for Automatic Gas Extraction Drilling Rig in Coal Mine. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 4: 72-78. https://doi.org/10.25236/AJETS.2024.070411.
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