A Cloud-Based Platform for Big Data-Driven CPS Modeling of Robots

Naiheng Zhang

doi:10.1109/access.2021.3061477

Abstract

This paper proposes an improved cyber-physical systems (CPS) architecture for a smart robotic factory based on an industrial cloud platform driven by big data based on the traditional CPS architecture. This paper uses the architecture analysis and design language to model and design a total of three scales for the underlying cell-level robot, the system-level robot shop, and the overall robotic smart factory CPS, respectively, to complete the conceptual scheme for building a robotic smart factory from a local to an overall CPS system. Using the advantages of cloud computing and combining robotic CPS with cloud computing, an architecture for an industrial management system for CPS cloud computing is proposed. Base based distributed storage architecture with Storm based distributed real-time processing architecture. In terms of modeling, the advantages and disadvantages of using AADL, structural analysis, and design language, and modelers, a physical device modeling language, are combined to analyze the advantages and disadvantages of architecture analysis & design language (AADL) for modeling CPS and propose a CPS analysis and design based on AADL and applicable to it. The paper also investigates the use of LeNet models for state identification in the HSV color space. The algorithm was verified on a self-built power equipment indicator dataset with a 100% detection rate and 99.8% state recognition accuracy after four consecutive frames of fusion detection. Simulink simulation of the trolley was carried out in terms of a cell-level robotic trolley CPS system to demonstrate the effectiveness of the design of a robotic CPS system driven by soaring data based on the industrial cloud platform proposed in this paper.

Highlights

The new generation of information and communication systems represented by the Internet, cloud platforms and big data is developing rapidly, and a wave of re-industrialization is rolling worldwide
Based on the demand development of industrial robots, this paper proposes an improved cyber-physical systems (CPS) system architecture based on the definition of CPS system architecture to solve the problem of massive data processing of industrial robots in smart factories using a cloud platform
It uses OPC UA heterogeneous data standardization to solve the problems in heterogeneous integration of smart factory robots

Summary

Introduction

The new generation of information and communication systems represented by the Internet, cloud platforms and big data is developing rapidly, and a wave of re-industrialization is rolling worldwide. This paper studies the big data-driven CPS modeling method for industrial robots based on a cloud platform, and applies the motion monitoring and control system of industrial robots as the main body in intelligent manufacturing, with emphasis on the interaction and integration of robot Cyber models and physical entities, and realizes the application of information technology when industrial robots are involved in the production.

Results

Conclusion