Abstract
Nowadays, industry tends to adopt the smart factory concept in their production. Technology intelligence is applied to use all the resources efficiently. Robots and vision system are masters in this kind of industry. However, information transfer between the robot controller and the vision system poses a great challenge. Data exchange between these two systems shall be secure, and the transfer must be with a very high level of accuracy. In this article, a multi-platform software application using a vision system is performed to control a Selective Compliance Articulated Robot Arm robot. The software solution includes the detection of defaults in a product by calculating a compliance rate using an efficient algorithm. An analysis of four different algorithms related to histogram-based similarity functions is set. Then, the most efficient algorithm is integrated into the application that provides a secure communication between three different operating systems. Experiments in a multi-agent manufacturing center validate the effectiveness of the proposed method. Tests demonstrate the efficiency of the data transfer between the vision system and the multi-platform software application and the Selective Compliance Articulated Robot Arm robot. This data transfer can be controlled in a high accuracy manner without any additional manual parameters tuning.
Highlights
Monitoring and control are the key elements for any industrial and real-world applications
A typical Supervisory Control and Data Acquisition (SCADA) system contains a human–machine interface (HMI) where information is collected and used by human operators; a computer that does the monitoring, remote terminal units (RTUs) that collect data from the sensors and transmit the data to the computers, programmable logic controllers (PLCs) that are used as a real-time controller; and a communication infrastructure connecting all the
We propose a novel solution to control a Selective Compliance Articulated Robot Arm (SCARA) which is integrated in a flexible multi-agent manufacturing system
Summary
Monitoring and control are the key elements for any industrial and real-world applications. ), it is possible to collect information, share, and provide it to create an automated decision and achieve flexible and reconfigurable manufacturing processes.[5] The steps of implementing Industry 4.0 criteria into an existing assembly system are represented in the study by Cohen et al.[6] The key technological elements of a smart factory are the Internet of things (IoT), cyber-physical systems (CPSs) technologies, and cloud computing. The solution is based on a robust software application It includes the detection of defaults in an object by the estimation of a compliance rate and provides a secure data communication between three different operating systems (OS). This application provides a good precision and accuracy manner for the control of the SCARA robot. The sixth section concludes the article and presents issues for further work
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