Method and system for fault detection of subway platform doors based on digital twin robot

Abstract

The embodiment of the present invention discloses a method and system for fault detection of a subway station door based on a digital twin robot. Simulate the inspection process of the robot, and simulate the fault points on the subway platform door; record the inspection parameters of the simulated robot and the parameters of the inspection fault point, and create a 3D scene world of the subway station door; the real robot is on the real subway platform The station door is inspected according to the inspection process and inspection track of the simulated robot; the inspection result of the real robot is fed back, and the failure of the real subway station door is predicted according to the inspection parameters of the simulated robot in the 3D scene world. The present invention uses a virtual method to observe the inspection situation of the robot, and does not need to monitor the robot in real time. The monitoring results of the real robot are processed with big data and combined with the digital twin to predict the failure of the object in advance, reducing the cost of manpower and material resources.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular to a method and system for detecting faults of subway platform doors based on digital twin robots. Background technique [0002] At present, there are relatively few robot inspections applied to subway platform doors. Due to the complex and dangerous structure of subway platform doors, it is not convenient to manually detect their faults. Although some regions have begun to use robots to inspect the faults of subway platform doors, but The robots in the prior art just return some on-site photos or measure some parameter data, and then the staff analyze and judge on the spot. This method cannot enable the staff to observe the real-time situation of the subway platform gate in real time, nor can it judge the subway station more accurately. For the working parameters and faults of the station door, the robot can only simply check and feedback the results, without the function...

AI Technical Summary

Problems solved by technology

[0002] At present, there are relatively few robot inspections applied to subway platform doors. Due to the complex and dangerous structure of subway platform doors, it is not convenient to manually detect their faults. Although some regions have begun to use robots to inspect the faults of subway platform doors, but The robots in the prior art just return some on-site photos or measure some parameter data, and then the staff analyze and judge on the spot. This method cannot enable the staff to observe the real-time situation of the subway platform gate in real time, nor can it judge the subway station more accurately. For the working parameters and faults of the station door, the robot can only simply check and feedback the results, without the function of predicting in advance

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