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Smart chemical plant architecture development based on a systems engineering

机译:基于系统工程的智能化工厂架构开发

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Chemical plant is a factory producing chemical goods through a continuous chemical reactions flow process in a set of equipment and apparatus. In this factory, equipment is the most crucial components in the whole life cycle of the plant encompassing planning, design, engineering, construction, commissioning, operation & maintenance (O&M) and disposal. According to the industrial statistics, cost of equipment takes over 52% of the total construction cost, and maintenance fee due to equipment failure during operation is reported over $10M, and average daily loss of $150K in some plants. The main reason for this is due to lack of data and information flow during the planning and operation stage. In other words, transparent and live information for the whole stakeholders of the chemical plant is utmost important for the chemical plant industry. In this thesis, a way of achieving such a purpose is investigated based on the technology called IoT (Internet of Things) and Smart Factory. Specifically, architecture of smart plant for chemical plant was developed based on the Systems Engineering (SE), a powerful methodology for successfully developing the complex system, involving multi-disciplinary domain and a variety of stakeholders. The developed architecture was illustrated and verified by developing a prototype for a natural gas based hydrogen generation plant. Through the prototype, the impact of the cost saving as well as information infrastructure of the developed architecture is significant. Even so, it should be verified through more industrial cases; i.e., tailoring process in the future. Considering that there is almost no work in the open literature dealing with the smart factory for continuous process plant, such as the chemical plant dealt with in the thesis, the research results will contribute in this area.
机译:化工厂是在一组设备和装置中通过连续化学反应流过程生产化学产品的工厂。在这家工厂中,设备是工厂整个生命周期中最关键的组成部分,包括计划,设计,工程,施工,调试,运营与维护(O&M)和处置。根据行业统计数据,设备成本占总建设成本的52%,据报告,由于设备在运行过程中发生故障而导致的维护费用超过1000万美元,某些工厂的平均每日损失为15万美元。主要原因是由于在计划和运营阶段缺少数据和信息流。换句话说,对于化工厂的整个利益相关者而言,透明和实时的信息对于化工厂行业至关重要。在本文中,研究了一种基于IoT(物联网)和Smart Factory技术的实现此目的的方法。具体来说,基于系统工程(SE)开发了化工厂智能工厂的体系结构,这是一种成功开发复杂系统的强大方法,涉及多个学科领域和各种利益相关者。通过为基于天然气的制氢厂开发原型来说明和验证了开发的体系结构。通过该原型,节省成本以及所开发体系结构的信息基础架构的影响是显着的。即使这样,也应该通过更多的工业案例加以验证。即未来的裁缝过程。考虑到公开文献中几乎没有涉及智能工厂的连续过程工厂的工作,例如本文中涉及的化学工厂,因此研究成果将为这一领域做出贡献。

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