基于系统工程的智能化工厂体系结构开发

Joon-Young Kim
{"title":"基于系统工程的智能化工厂体系结构开发","authors":"Joon-Young Kim","doi":"10.1109/SYSENG.2017.8088315","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":354846,"journal":{"name":"2017 IEEE International Systems Engineering Symposium (ISSE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart chemical plant architecture development based on a systems engineering\",\"authors\":\"Joon-Young Kim\",\"doi\":\"10.1109/SYSENG.2017.8088315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":354846,\"journal\":{\"name\":\"2017 IEEE International Systems Engineering Symposium (ISSE)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Systems Engineering Symposium (ISSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYSENG.2017.8088315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Systems Engineering Symposium (ISSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSENG.2017.8088315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

化工厂是通过连续的化学反应流程生产化工产品的一套设备和装置。在这家工厂,设备是工厂整个生命周期中最关键的组成部分,包括规划、设计、工程、施工、调试、运行和维护(O&M)和处置。据行业统计,设备成本占总建设成本的52%以上,在运行过程中因设备故障产生的维护费超过1000万美元,部分工厂平均每天损失15万美元。造成这种情况的主要原因是由于在规划和操作阶段缺乏数据和信息流。换句话说,为化工厂的整个利益相关者提供透明和实时的信息对化工厂行业至关重要。在本文中,研究了一种基于IoT(物联网)和智能工厂技术实现这一目的的方法。具体而言,化工智能工厂的架构是基于系统工程(SE)的,这是一种成功开发复杂系统的强大方法,涉及多学科领域和各种利益相关者。通过开发天然气制氢装置的原型,对所开发的体系结构进行了说明和验证。通过该原型,所开发的体系结构对成本节约和信息基础设施的影响是显著的。即便如此,也需要通过更多的工业案例来验证;即,未来的裁剪过程。考虑到在公开的文献中几乎没有涉及连续过程工厂的智能工厂的工作,例如本文所处理的化工厂,研究结果将在这一领域有所贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart chemical plant architecture development based on a systems engineering
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信