Design, modelling, simulation and integration of cyber physical systems: Methods and applications

The main drivers for the development and evolution of Cyber Physical Systems (CPS) are the reduction of development costs and time along with the enhancement of the designed products. The aim of this survey paper is to provide an overview of different types of system and the associated transition process from mechatronics to CPS and cloud-based (IoT) systems. It will further consider the requirement that methodologies for CPS-design should be part of a multi-disciplinary development process within which designers should focus not only on the separate physical and computational components, but also on their integration and interaction. Challenges related to CPS-design are therefore considered in the paper from the perspectives of the physical processes, computation and integration respectively. Illustrative case studies are selected from different system levels starting with the description of the overlaying concept of Cyber Physical Production Systems (CPPSs). The analysis and evaluation of the specific properties of a sub-system using a condition monitoring system, important for the maintenance purposes, is then given for a wind turbine

Application Of Cloud Robotics For Automatic Manipulation

Robots are an integral part of industries involved in manufacturing and assembly process. Changing workpiece requires a change in the programming of robot resulting downtime and loss of output in industrial scenarios. With the increase of population necessities and demands have also grown exponentially. Amount of resources available on the shop floor is always challenging due lack of capital investments. Changing market requirement often require new resources, tools and equipment to accommodate new product requirements. With growing populations and consumer demands, there is more need for manufacturing systems which can share resources saving setup cost and maintenance expenses. Industry 4.0 emphasis on the development of cyber-physical systems to bring new functionalities in existing manufacturing systems. Cloud computing is a one of key paradigm from cyber world to overcome the lack of resources in the physical world by providing additional resources that can be shared by multiple manufacturing systems. These resources range from simple storage to application to application able to execute complex algorithms. This thesis implements a system which deploys cloud-based vision capability in existing industrial robots. The implemented system uses a knowledge base that contains information about the workpiece. An interactive web interface provides a platform to update the knowledge base with new workpiece data. The system utilizes workpiece specifications in the knowledge base to update robot programming at runtime to achieve automatic manipulation. The designed system also allows different operations to be associated with the workpiece making it possible not only to handle different workpiece but also perform various operations. The thesis work provides a pathway and guidelines to develop a basic robotic flexible manufacturing system which can update its manipulation mechanism accordingly to workpiece data at runtime

Robotix-Academy Conference for Industrial Robotics (RACIR) 2018

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