Subway station door fault detection method and system based on digital twin robot

Abstract

The embodiment of the invention discloses a subway station door fault detection method and system based on digital twin robots. The method includes the steps that a 3D scene world of a subway stationdoor is established, and a subway station door fault detection environment of the robot is set up; a routing inspection process of a simulation robot is constructed, and a fault point on the subway station door is simulated; routing inspection parameters of the simulation robot and parameters generated during routing inspection of the fault point are recorded, and the 3D scene world of the subwaystation door is established; a true robot conducts routing inspection in a true subway station door according to the routing inspection process and the routing inspection track of the robot; and a routing inspection result of the true robot is fed back, and the fault of the true subway station door is pre-judged according to the routing inspection parameters of the simulation robot in the 3D scenewould. By means of the method, a virtual method is used for observing the routing inspection condition of the robot, the robots do not need to be monitored in real time, big data processing is conducted on the monitoring result of the true robot, the digital twin is matched, and the fault problem happening to an object is predicated in advance, and the cost of manpower and material resources is reduced.

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

Images