Robot management system based on artificial intelligence design

Abstract

The invention discloses a robot management system based on an artificial intelligence design, and the system comprises a GPS positioning module, a motion state data collection module, a robot basic state data collection module, a video data collection module, a robot health estimation module, an expected estimation module, a central processor, and a robot drive module. The system achieves the unified management of a robot, achieves the real-time monitoring of the position, moving devices, basic conditions and working conditions of the robot in the whole management process, and can achieve the real-time changing of a working plan and a movement track according to the actual conditions of the robot. The system has the function of estimating and predicting the conditions of the robot, can timely find a fault of the robot, and can achieve the timely maintenance.

Description

technical field [0001] The invention relates to the field of robot management systems, in particular to a robot management system designed based on artificial intelligence. Background technique [0002] A robot is a machine device that performs work automatically. It can accept human command, run pre-programmed programs, and act according to principles formulated with artificial intelligence technology. Its mission is to assist or replace human work in jobs such as manufacturing, construction, or hazardous jobs. [0003] At present, the process of robot management is mostly managed by human inspection and maintenance, which is time-consuming and laborious, which is not conducive to the unified management of robots. Once a fault occurs, it is necessary to manually detect the entire robot to determine the location of the fault; The entire process can only be observed by video collection or human monitoring. Many internal conditions of the robot cannot be observed by the nake...

AI Technical Summary

Problems solved by technology

[0003] At present, the process of robot management is mostly managed by human inspection and maintenance, which is time-consuming and laborious, which is not conducive to the unified management of robots. Once a fault occurs, it is necessary to manually detect the entire robot to determine the location of the fault; The entire process can only be observed by video collection or human monitoring. Many internal conditions of the robot cannot be observed by the naked eye. Once a failure occurs, it will bring greater losses.

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