Digital Twin and IIoT in Optimizing Manufacturing Process and Quality Management
Industrial Internet Reference Architecture 10 , for supporting digital transformation of industrial operational management . It is built on a core architecture that integrates the latest cloud-native technology , Big Data , machine learning and micro-service technologies as its foundation on which a set of innovative key functional components are developed to provide a flexible to deploy , easy to use , self-contained end-to-end industrial PaaS stack . As an industrial PaaS platform , it provides :
• an IoT Framework to support connectivity to equipment and devices for data collection and system control . It offers the following features : o Equipment connectivity o Data collection o Data preprocessing o Data storage o IoT gateway remote management service
• a digital twin Framework to digitally represent production environment , manage equipment data , and integrate analytic models associated with the equipment . o Digital twin design GUI o Digital twin to IoT data mapping o Digital twin analytic modeling o Digital twin API
• an Application ( DevOp ) Framework to enable GUI-based codeless and normal code-based application development , deployment and runtime management . o Data visualization tool o GUI-based application rapid development tool o Multi-language code-based application development SDK o Micro-service framework
The full technical stack of the platform , as shown in Fig . 3-5 , supports end-to-end streaming data processing and analysis , enabling near-realtime responses to events occurring in the industrial operational environment . It is designed to enable industrial enterprises to develop and run data and analytic-driven industrial smart application .
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Industrial Internet Reference Architecture . V1.9 . Available : https :// www . iiconsortium . org / IIRA . htm
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