Method for detecting working states and diagnosing faults for large shield

Abstract

The invention provides a method for detecting working states and diagnosing faults for a large shield. The method comprises two tasks of fault routing detection and fault processing, the two tasks are processed independently in time domain and exchange information through a database, wherein the fault routing detection task comprises cutter system routing detection, hydraulic system routing detection and electronic control system routing detection, fault signals are generated when faults are discovered in the routing detection process and stored in the database, the fault processing task reads the fault signals from the database, the large shield works normally when the fault signals are not generated, and corresponding fault processing is performed when the faults are read until the faults are eliminated and the routing detection task does not generate fault signals. According to the method, online detection of critical components of the shield is achieved, and running states of equipment can be known in time and faults can be processed in time when faults are caused through monitoring of critical portions and portions prone to faults of the shield.

Description

technical field [0001] The invention belongs to the shield machine industry, and in particular relates to a method for detecting and diagnosing a working state of a large shield machine. Background technique [0002] At present, the troubleshooting methods of the shield machine still mainly rely on manual maintenance. It is difficult to find the fault point and the cause of the fault, and the timely repair rate is low. With the acceleration of the current urban rail transit and infrastructure construction, shield construction often presents the characteristics of multiple points and wide areas, and it is difficult for maintenance personnel to find the fault point and cause of the fault in time after a fault occurs. Therefore, a large-scale shield working state detection and A fault diagnosis method is essential. Contents of the invention [0003] The purpose of the present invention is to provide a large-scale shield working state detection and fault diagnosis method. ...

AI Technical Summary

Problems solved by technology

[0002] At present, the troubleshooting methods of shield machines still mainly rely on manual maintenance. It is difficult to find the fault point and the cause of the fault, and the timely repair rate is low.

With the acceleration of the current urban rail transit and infrastructure construction, shield construction often presents the characteristics of many points and wide areas. After a failure, it is difficult for maintenance personnel to find the fault point and cause of the fault in time. Therefore, a large-scale shield working state detection and Troubleshooting methods are essential

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