Online monitoring device for tunnel boring machine cutter and method thereof

Abstract

The invention relates to an online monitoring device for a tunnel boring machine cutter. The device which is characterized by comprising a backstage controller, a cloud server, a 6LoWPAN protocol edge router and a plurality of cutter monitoring controllers adhered to a cutter ring of the cutter. The backstage controller is a large-screen microcomputer or a tablet personal computer, and the 6LoWPAN protocol edge router is connected with the backstage controller and the cloud server through an IPv4 protocol; each cutter monitoring controller comprises a 6LoWPAN protocol controller which is connected with a cutter abrasion loss measuring circuit, a temperature measuring circuit and a vibration and rotation measuring circuit respectively. The online monitoring device achieves online monitoring on abrasion, rotation speed, temperature and vibration parameter of the cutter, can accurately grasp the cutter condition at any time, prolongs service time and the optimal replacement time of the cutter and further improves work efficiency and reduces engineering cost. The invention further provides a monitoring method of the online monitoring device. The monitoring method has the advantages of reasonable technological process, strong adaptability and excellent effect.

Description

Technical field [0001] The invention belongs to the field of engineering technology, and specifically relates to an online monitoring device and a method for cutting tools of a tunnel boring machine. Background technique [0002] With the rapid growth of urban transportation, railways, highways, water conservancy and other municipal projects, China has become the world's largest tunnel boring machine (Tunnel Boring Machine, TBM) manufacturing base and application market. [0003] The cutter is the key component of TBM rock breaking and tunneling, and it is a wearable product. Manual inspection of tool wear and tool change accounted for about 30% to 40% of all working hours, which severely reduced the work efficiency of TBM, and every day of work stoppage would cause nearly 10 million economic losses. Therefore, it is necessary to check every tool on the cutter head. Online monitoring of the wear, speed, temperature, and vibration of the tools in the tool position during use allows...

AI Technical Summary

Problems solved by technology

Manual detection of tool wear and tool change accounts for about 30% to 40% of the total working hours, which seriously reduces the work efficiency of TBM, and every day of shutdown will cause nearly ten million economic losses. Therefore, it is necessary to check every On-line monitoring of wear, speed, temperature, and vibration of the tools at the tool position during use allows construction personnel to grasp the working conditions of each tool in real time, and provides more accurate criteria for the timing of tool replacement, which can improve TBM work efficiency , to ensure the project duration and reduce project investment

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