Real-time safety evaluation method of robot based on the big data of collision physical force using graphic information

摘要

It relates to a robot safety evaluation method based on collision physical force big data capable of monitoring the risk of robot collision in real time using graphic information. The collision physical force big data-based robot safety evaluation method capable of real-time robot collision risk monitoring using graphic information according to the present invention is a collision force including at least one of collision pressure and collision force, and data on collision factors affecting it preparing a trained artificial neural network; obtaining a three-dimensional image or three-dimensional model of the test robot including shape information of the real robot; setting a movement time and movement path of the test robot by inputting profile information including movement time information and movement path information of the test robot; extracting, in real time, a collision physical force including at least one of a collision pressure and a collision force applied to the object to be collided according to the collision factor of the test robot from the pre-prepared artificial neural network; evaluating the safety of the test robot by determining whether the magnitude of the extracted collision force falls within a preset maximum collision force force; and converting the result of the safety evaluation of the robot into graphic information in the simulation program and notifying the robot user as visual information.