Data processing of robotic parameters in intelligent robotic systems

Abstract

The scientific problem of developing the processing of technological data generated by the intelligent robotic systems (IRS) in the mechatronic robotic process is considered. It is shown that mechatronic robotic data is generated simultaneously in the real IRS and in the cloud-based IRS. In the real IRS, data is captured by a system of sensors built into the IRS process chamber. In the cloud-based IRS, mechatronic robotic data is generated by simulating production processes in a modelling tools (in the cloud) using the IRS digital twins. It is shown that the quality of mathematical data processing acceptable for implementation in mechatronic robotic industry is achieved using mathematical methods of regression analysis. Regression analysis allows you to detect the disorder of difficult to control production processes, accompanied by the formation of time series of mechatronic robotic data having a stochastic nature. Structural schemes of the mathematical processing of mechatronic robotic data in industrial IRS is described.