Intelligent and Collaborative Assets for Industrial Manufacturing

项目目标：提出一种可行的(适用于现实世界的)工厂方法，以解决制造和资产管理中的效率、信息可见性和可用性问题。项目目标：探索和利用工业4.0中使用的现有概念(如工业物联网(IIoT)、数字双胞胎、网络物理系统(CPS)、边缘云计算等)。确定当前概念在现实世界中应用的问题及其对中小型企业(SME)的影响。确定计算机集成制造的分层模式是否仍然适合用于IIoT。如果不是，则提出新的/更新的模型。设计使资产能够彼此共享其状态以协作实现给定目标的通信和系统架构。确定并建议如何利用机器学习算法为资产提供预测性维护和分析决策。确定并建议如何在意外情况(中断和故障)下自动计算整个生产线和车间的最佳策略，以便资产能够自主处理情况。开发并评估融合了智能资产和智能流程的原型自治工厂。

Project Aim:To propose a feasible (applicable to the real-world manufacturing) methodology for an autonomous factory which will solve the efficiency, information visibility and availability problems in manufacturing and asset management.Project Objectives:Explore and exploit current concepts used in Industry 4.0 (i.e. Industrial Internet of Things (IIoT), Digital Twins, Cyber-Physical Systems (CPS), Edge-Cloud Computing, etc.).Identify the issues in applying current concepts in real-world and their effect on small and medium-sized enterprises (SMEs).Identify whether the hierarchical model of computer-integrated manufacturing is still suitable to be used with IIoT. If not, propose a new/ updated model.Design communication and system architectures which enable the assets to share their status with each other in order to achieve a given goal collaboratively.Identify and propose how to utilise the machine learning algorithms to provide predictive maintenance and analytical decisions to the assets.Identify and propose how to automatically compute the best strategy for the overall production line and the shop floor in unexpected situations (disruptions and failures), so the assets will autonomously handle the situation.Develop and evaluate a prototype autonomous factory which incorporates intelligent assets and intelligent processes.