智能校园的物联网、人工智能和数字孪生

Tanapeak Pexyean, K. Saraubon, P. Nilsook
{"title":"智能校园的物联网、人工智能和数字孪生","authors":"Tanapeak Pexyean, K. Saraubon, P. Nilsook","doi":"10.1109/RI2C56397.2022.9910286","DOIUrl":null,"url":null,"abstract":"The objective of this research is to Present the use of Digital Twin. Internet of Things and Intelligence Technology to Intelligently Develop The Energy Management Potential of Campuses By using Digital Twin to manage energy consumption, it enables the creation of work and life on campus, whether it is personal. Teachers and students, including those with disabilities, have a better quality of life. Living on campus is more comfortable Collect energy consumption data, organizations to manage power management systems, reduce energy consumption, simplify management in all departments, and reduce campus costs. It can transparently monitor energy consumption and use educational equipment on campus, especially cost and expenditure management, and sustainable energy consumption, as well as management. Control usage data, energy consumption results, and budget allocations related to educational institutions can create reliability in managing information about electrical energy and energy competency assessment results, and can be recorded and controlled in Digital Twin that can be as if it were with a control center. IoT and Cloud Computing are also integrated with AI systems embedded in state-of-the-art equipment for use in environmental management and intelligent energy management. As well as creating new energy models and management that can resolve future emergencies by controlling virtual energy within the organization from outside anytime, anywhere.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"IoT, AI and Digital Twin For Smart Campus\",\"authors\":\"Tanapeak Pexyean, K. Saraubon, P. Nilsook\",\"doi\":\"10.1109/RI2C56397.2022.9910286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this research is to Present the use of Digital Twin. Internet of Things and Intelligence Technology to Intelligently Develop The Energy Management Potential of Campuses By using Digital Twin to manage energy consumption, it enables the creation of work and life on campus, whether it is personal. Teachers and students, including those with disabilities, have a better quality of life. Living on campus is more comfortable Collect energy consumption data, organizations to manage power management systems, reduce energy consumption, simplify management in all departments, and reduce campus costs. It can transparently monitor energy consumption and use educational equipment on campus, especially cost and expenditure management, and sustainable energy consumption, as well as management. Control usage data, energy consumption results, and budget allocations related to educational institutions can create reliability in managing information about electrical energy and energy competency assessment results, and can be recorded and controlled in Digital Twin that can be as if it were with a control center. IoT and Cloud Computing are also integrated with AI systems embedded in state-of-the-art equipment for use in environmental management and intelligent energy management. As well as creating new energy models and management that can resolve future emergencies by controlling virtual energy within the organization from outside anytime, anywhere.\",\"PeriodicalId\":403083,\"journal\":{\"name\":\"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RI2C56397.2022.9910286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RI2C56397.2022.9910286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本研究的目的是介绍数字孪生的使用。物联网与智能技术智能挖掘校园能源管理潜力利用Digital Twin对能耗进行管理,使校园内的工作和生活,无论是个人,都能得到创造。教师和学生,包括残疾人,生活质量得到提高。收集能耗数据,组织管理电源管理系统,降低能耗,简化各部门管理,降低校园成本。它可以透明地监控能源消耗和校园教育设备的使用,特别是成本和支出管理,可持续能源消耗和管理。与教育机构相关的控制使用数据、能源消耗结果和预算分配可以在管理有关电能和能源能力评估结果的信息方面创造可靠性,并且可以在数字孪生中记录和控制,就好像它有一个控制中心一样。物联网和云计算还与人工智能系统集成在最先进的设备中,用于环境管理和智能能源管理。以及创建新的能源模型和管理,可以通过随时随地从外部控制组织内部的虚拟能源来解决未来的紧急情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
IoT, AI and Digital Twin For Smart Campus
The objective of this research is to Present the use of Digital Twin. Internet of Things and Intelligence Technology to Intelligently Develop The Energy Management Potential of Campuses By using Digital Twin to manage energy consumption, it enables the creation of work and life on campus, whether it is personal. Teachers and students, including those with disabilities, have a better quality of life. Living on campus is more comfortable Collect energy consumption data, organizations to manage power management systems, reduce energy consumption, simplify management in all departments, and reduce campus costs. It can transparently monitor energy consumption and use educational equipment on campus, especially cost and expenditure management, and sustainable energy consumption, as well as management. Control usage data, energy consumption results, and budget allocations related to educational institutions can create reliability in managing information about electrical energy and energy competency assessment results, and can be recorded and controlled in Digital Twin that can be as if it were with a control center. IoT and Cloud Computing are also integrated with AI systems embedded in state-of-the-art equipment for use in environmental management and intelligent energy management. As well as creating new energy models and management that can resolve future emergencies by controlling virtual energy within the organization from outside anytime, anywhere.
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
期刊最新文献
Hyperparameter Tuning in Convolutional Neural Network for Face Touching Activity Recognition using Accelerometer Data RI2C 2022 Cover Page CNN based Automatic Detection of Defective Photovoltaic Modules using Aerial Imagery Metaverse for Developing Engineering Competency A Comparative Study of Deep Convolutional Neural Networks for Car Image Classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1