摘要：Ensuring the stability of the shaft structure is one of the key technologies for the application of raise boring method. In the process of reaming through rock formations with water disintegration characteristics, the impact of water gushing and drenching may induce partial collapse. To solve this problem, an intelligent temporary while-boring support technology is proposed in this paper. Firstly, the main characteristics of the technology are introduced. Utilizing the space inside the raise boring pipes, the material conveying pipes and nozzle can reach the lower part of the reamer to realize spraying support. Secondly, a composite cementitious supporting material with good mechanical properties is developed to ensure the sealing and waterproofing of the surrounding rock. Thirdly, a test study was carried out on key process parameters. The results show that the best engineering economic benefits under the condition that the rotation speed is 2r/min and the distance between the nozzle and the surrounding rock is 1m. Fourthly, an image classification algorithm based on Resnet-34 convolutional neural network is proposed, which realizes the intelligent judgment of the effect of surrounding rock support. Finally, an industrial test was carried out in Lijiahao Coal Mine. The test results show that the intelligent temporary while-boring support technology proposed in this paper has a good performance, effectively achieving the sealing and water resistance of the surrounding rock, and the shaft structure has not been damaged.
其他摘要：Ensuring the stability of the shaft structure is one of the key technologies for the application of raise boring method. In the process of reaming through rock formations with water disintegration characteristics, the impact of water gushing and drenching may induce partial collapse. To solve this problem, an intelligent temporary while-boring support technology is proposed in this paper. Firstly, the main characteristics of the technology are introduced. Utilizing the space inside the raise boring pipes, the material conveying pipes and nozzle can reach the lower part of the reamer to realize spraying support. Secondly, a composite cementitious supporting material with good mechanical properties is developed to ensure the sealing and waterproofing of the surrounding rock. Thirdly, a test study was carried out on key process parameters. The results show that the best engineering economic benefits under the condition that the rotation speed is 2r/min and the distance between the nozzle and the surrounding rock is 1m. Fourthly, an image classification algorithm based on Resnet-34 convolutional neural network is proposed, which realizes the intelligent judgment of the effect of surrounding rock support. Finally, an industrial test was carried out in Lijiahao Coal Mine. The test results show that the intelligent temporary while-boring support technology proposed in this paper has a good performance, effectively achieving the sealing and water resistance of the surrounding rock, and the shaft structure has not been damaged.
