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Title page for etd-0911117-141344


URN etd-0911117-141344 Statistics This thesis had been viewed 225 times. Download 0 times.
Author CHUN-AN HSIEH
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2016 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 41
Title Knowledge Engineering Approach to Campus Energy Saving Diagnose System
Keyword
  • Semantic Web
  • Knowledge engineering
  • Knowledge engineering
  • Semantic Web
  • Abstract The purpose of this study is to use a smart system to carry out campus energy conservation and campus safety control. Through the system provided by this study, users can use the system to register the complete information, and through the Internet of Things technology using smart meters as the forefront of data collectors to provide the most immediate electricity situation. And then through the semantic web technology in accordance with the information provided by the registration of smart meters generated by the information packaged into RDF (Resource Description Framework) and stored in the RDF repository (Virtuoso), and then make the data more abundant.
      The use of the system can provide users to register the wisdom of the meter were registered for the classroom registration with the restaurant in accordance with the different circumstances of registration of different information, real-time query electricity and real-time electricity security monitoring, real-time access to electricity through real-time understanding of electricity information, so Users and managers can understand the current situation and make decisions, and with the diagnosis of electricity in the amount may exceed the limit to remind the user and the manager, so that users or managers can be prepared to do so at any time Control of electricity consumption. Such as the school's electricity limit, can be known early and implement the energy-saving strategy, so as not to be due to the Taiwan Electric Power Company on the school standard limit caused by excessive fines in the user electricity consumption anomalies can immediately remind the general manager and Users, through a wealth of information to provide managers quickly notify the region responsible person and can immediately go to the correct floor space, to deal with the problems, to achieve intelligent energy security control.
    Advisor Committee
  • Ching-Long Yeh - advisor
  • none - co-chair
  • Shih-Ming Cho - co-chair
  • Files indicate not accessible
    Date of Defense 2017-07-27 Date of Submission 2017-09-11


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