應用Ontology/SWRL於住商大樓節電知識建立與推論

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：45

、訪客IP：18.221.4.52

姓名

陳奕璋(Yi-Chang Chen) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

應用Ontology/SWRL於住商大樓節電知識建立與推論
(Establishing and Reasoning Energy-Saving Knowledge Using Ontology and SWRL for Residential and Commercial Buildings)

相關論文

★ 路權取得資料探勘與決策輔助工具設計之研究	★ 以時空資料庫管理管線單位道路申挖許可之雛形系統研究
★ 關鍵基礎設施相依性模型設計與應用	★ 應用RFID技術於室內空間防救災時的疏散指引系統之研究
★ 考量列車迴轉與擾動因子情況下高速鐵路系統最佳化排班設計之研究	★ 應用資料探勘分群分類演算法與空間資料庫技術在鋪面裂縫影像辨識之初探
★ 以本體論建構工程程式設計課程之線上考試平台研究	★ 結合遙測影像與GIS資料以資料挖掘技術進行崩塌地辨識-以石門水庫集水區為例
★ 設計整合型手持式行動裝置平台於災害設施損毀資料收集研究	★ 考量擾動因子情況下傳統鐵路時刻表建置合併於高速鐵路時刻表模型之回顧與探討
★ 關鍵基礎設施相依性分析:以竹科某晶圓廠區為例	★ 建築資訊模型於火災原因調查流程的應用
★ Hadoop雲端平台在工程應用之探討研究	★ 關鍵基礎設施投入產出停轉模型之回顧與應用
★ 擴展建築資訊模型於防救災應用：使用Revit平台	★ 應用交通資料蒐集與發佈設備及資料探勘法協助觀光地區交通管理策略之研究：以桃園大溪老街為例

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

節能減碳一直是世界各國所關注的議題，再加上世界能源價格上漲，各國面臨經濟危機的情況下，如何有效的節省能源以及減少費用支出是目前大家所關注的問題。從家庭中節省電力似乎是常見的方法，如果家庭能改變用電習慣，對於家庭用電支出將能大大改善，但還是有許多的家庭沒有依照節電的行為來實行，其原因可能包括此節電規則是否方便去實行、缺乏行動力、以及規則使日常行為變的困難等一系列障礙，因此人工智慧及自動化的技術就顯得格外重要，故本研究提出以本體論(Ontology)為基礎之節電本體論模型，並使用其延伸語言SWRL(Semantic Web Rule Language)做為節電規則的描述，建立往後人工智慧所需的知識庫。
本研究首先收集國內外各種節電知識並分析出各個規則中的參數，在節電本體論模型建立上先以UML(Unified Modeling Language)分析設計出電器、房間、環境和節電規則四種類別的屬性以及定義各個類別之間的關聯性，再轉換成本體論模型，其次，將分析過後的節電規則以SWRL來描述，輔助節電本體論模型做邏輯上的判斷，最後透過Pellet與SQWRL將結果推論出來。本研究也模擬一個情境來進行測試驗證，測試結果顯示此模型與SWRL規則能正確判斷出不符合節電規則的電器。透過本研究所設計之節電本體論模型可以讓使用者方便管理家中電器，得知電器的位置、狀態、用電情況。

摘要(英)

Carbon reduction has been the subject of concern to the world. Because of the energy price fluctuates significantly and many countries face economic crisis, it will be an important issue to conserve the energy and reduce expense. Saving energy from the family seems to be a common method. It will be greatly improved for household electricity consumption when the family can change the habits about using home appliances. But there are still many families do not follow the energy-saving behavior. The reason may include a series of obstacles such as whether the energy-saving rules are easy to implement, lack of execution, and the difficulties of the rules making the daily behavior become difficult. Therefore artificial intelligence and automation technology is particularly important. In this regard, this paper attempts to establish an energy-saving ontology model based on Ontology, and uses its extended language SWRL (Semantic Web Rule Language) for describing the rules of energy-saving to establish the knowledge base.
In this paper, first we collect the knowledge of energy-saving both at domestic and abroad and analyze the parameters in each rule. We design the properties of appliances, room, environment and energy-saving rules by UML (Unified Modeling Language) and define the association between each properties, then transform it into the ontology model. Secondly, we use SWRL to describe the energy saving rules which we analyzed previously. Finally, the results are deduced by Pellet and SQWRL. This study also simulates a situation for testing and verification. The test results show that this model and SWRL rules can correctly determine the appliances that don’t conform the energy-saving rules. Through the study of the energy-saving ontology model designed to allow users to easily manage the home appliances, that electrical location, status, electricity situation. The energy-saving ontology model designed by this study allows users to easily manage the electrical appliances at home, and know the location, status and power consumption of the appliances.

關鍵字(中)

★ 本體論
★ 語意網規則
★ 住商節電
★ 知識庫

關鍵字(英)

★ Ontology
★ SWRL
★ Energy saving
★ Knowledge base

論文目次

目錄
摘要................................................................................................................................. i
Abstract .......................................................................................................................... ii
誌謝............................................................................................................................. iv
目錄................................................................................................................................ v
圖目錄........................................................................................................................ viii
表目錄............................................................................................................................ x
第1章緒論.................................................................................................................. 1
1.1 研究背景與動機 ................................................................................................. 1
1.2 研究問題與目的 ................................................................................................. 2
1.3 研究範圍與限制 ................................................................................................. 3
1.4 研究流程 ............................................................................................................. 3
1.5 論文架構 ............................................................................................................. 4
第2章文獻回顧.......................................................................................................... 6
2.1 本體論相關技術回顧 ......................................................................................... 6
2.1.1 Ontology ........................................................................................................ 6
2.1.2 SWRL ............................................................................................................ 8
2.1.3 Protégé ........................................................................................................... 9
2.1.4 SQWRL ......................................................................................................... 9
2.1.5 SPARQL ...................................................................................................... 10
2.2 自動化家庭Ontology模型 .............................................................................. 10
2.2.1 自動化家庭組成概念 ................................................................................ 11
2.2.2 建立自動化家庭Ontology ........................................................................ 11
2.2.3 SWRL規則 ................................................................................................. 13
2.2.4 結語 ............................................................................................................ 14
2.3 智慧家庭節能Ontology應用 .......................................................................... 14
2.3.1 能源Ontology建立 ................................................................................... 15
2.3.2 電力功耗計量Ontology建立 ................................................................... 18
2.3.3 結語 ............................................................................................................ 19
2.4 Ontology相關節能應用 .................................................................................... 20
2.4.1 建築物訊息知識庫 .................................................................................... 20
2.4.2 建築能源管理 ............................................................................................ 21
2.4.3 結語 ............................................................................................................ 22
2.5 If This Then That (IFTTT) ................................................................................. 22
2.5.1 背景介紹 .................................................................................................... 22
2.5.2 使用方法 .................................................................................................... 23
2.5.3 IFTTT組合方法 ......................................................................................... 28
2.5.4 結語 ............................................................................................................ 28
2.6 文獻評析 ........................................................................................................... 28
第3章分析設計........................................................................................................ 30
3.1 住商節電系統架構模型 ................................................................................... 30
3.1.1 住商節電系統—User ................................................................................. 31
3.1.2 住商節電系統—System ............................................................................ 31
3.1.3 住商節電系統—Knowledge base .............................................................. 32
3.2 節電本體論模型設計 ....................................................................................... 34
3.3 相關節電規則 ................................................................................................... 36
3.3.1 節電規則編排 ............................................................................................ 36
3.3.2 節電規則分析 ............................................................................................ 37
第4章案例測試........................................................................................................ 38
4.1 開發工具 ........................................................................................................... 38
4.1.1 Protégé ......................................................................................................... 38
4.1.2 SWRL Tab、SQWRL Tab .......................................................................... 41
4.2 住商節電規則說明 ........................................................................................... 42
4.3 住商節電案例實作 ........................................................................................... 50
4.3.1 Kitchen案例................................................................................................ 52
4.3.2 DiningRoom案例 ....................................................................................... 53
4.3.3 LivingRoom案例 ........................................................................................ 54
4.3.4 BedRoom案例 ............................................................................................ 55
4.3.5 BathRoom案例 ........................................................................................... 57
4.3.6 Balcony案例 ............................................................................................... 58
第5章結論建議........................................................................................................ 61
5.1 結論 ................................................................................................................... 61
5.2 未來展望與建議 ............................................................................................... 61
5.3 貢獻 ................................................................................................................... 62
參考文獻...................................................................................................................... 64
附錄A .......................................................................................................................... 67

參考文獻

1. Amann, J.T., Wilson, A., Ackerly, K., (2007). “The Consumer Guide to Home Energy Savings: Save Money, Save the Earth (ninth ed.)” Canada: New Society Publishers.
2. Anna-Lisa Lindén, Annika Carlsson-Kanyama, Björn Eriksson, (2006). “Efficient and inefficient aspects of residential energy behavior: What are the policy instruments for change?” Journal of Energy Policy, Volume 34, Issue 14, September 2006, pp.1918–1927.
3. Cees J.H. Midden, Joanne F. Meter, Mieneke H. Weenig, Henk J.A. Zieverink, (1983). “Using feedback, reinforcement and information to reduce energy consumption in households: A field-experiment”. Journal of Economic Psychology, Volume 3, Issue 1, 1983, pp.65-86.
4. Clift, J., Cuthbert, A., (2007). “Energy: Use Less-save More: 100 Energy-saving Tips for the Home”. Montpelier, United States: Chelsea Green Publishing Company.
5. Dario Bonino and Fulvio Corno, (2008). “DogOnt - Ontology Modeling for Intelligent Domotic Environments”. International Semantic Web Conference (ISWC), 2008, pp.790-803.
6. Dario Bonino, Fulvio Corno, Luigi De Russis, (2014), “PowerOnt: An Ontology-based Approach for Power Consumption Estimation in Smart Homes”. First International Summit, IoT360 2014, Rome, Italy.
7. Don A. Dillman, Eugene A. Rose and Joye J. Dillman, (1983). “Lifestyle and home energy conservation in the United States: the poor accept lifestyle cutbacks while the wealthy invest in conservation”. Journal of Economic Psychology, Volume 3, Issues 3–4, pp.299-315.
8. Gennari J.H., Musen M.A., Fergerson R.W., Grosso W.E., Crubézy M., Eriksson H., Noy N.F., and Tu S.W.(2002), “The evolution of Protégé: an environment for knowledge-based systems development”. International Journal of Human-Computer Studies, Volume 58, Issue 1, January 2003, pp.89–123.
9. Gram-Hanssen, K., Kofod, C., Petersen, K.N., (2004). “Different everyday lives—different patterns of electricity use”. In: Paper presented at the Proceedings of the 2004 American Council for Energy Efficient Economy Summerstudy in Buildings, Washington, DC.
10. Heidi Bruderer Enzler, Andreas Diekmann, Reto Meyer, (2014). “Subjective discount rates in the general population and their predictive power for energy saving behavior”. Journal of Energy Policy, Volume 65, February 2014,
65
pp.524–540.
11. Jillian C. Sweeney, Dave Webb, Tim Mazzarol, and Geoffrey N. Soutar, (2014). “Self-Determination Theory and Word of Mouth about Energy-Saving Behaviors: An Online Experiment”. Psychology & Marketing, Volume 31, Issue 9, September 2014, pp.698–716.
12. Jinlong Ouyang, Kazunori Hokao, (2009). “Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China”. Journal of Energy and Buildings, Volume 41, Issue 7, July 2009, pp.711–720.
13. Jinsoo Han, Youn-Kwae Jeong, Ilwoo Lee, (2011). “Efficient Building Energy Management System Based on Ontology, Inference Rules, and Simulation”. Paper presented at International Conference on Intelligent Building and Management, Singapore
14. John Thøgersen, Alice Grønhøj, (2010). “Electricity saving in households—A social cognitive approach”. Journal of Energy Policy, Volume 38, Issue 12, December 2010, pp.7732–7743.
15. Kanae Matsui, Hideya Ochiai, Yoshiki Yamagata, (2014). “Feedback on electricity usage for home energy management: A social experiment in a local village of cold region”. Journal of Applied Energy, Volume 120, 1 May 2014, pp.159–168.
16. Kenan Zhang and Pin-Chao Liao, (2015). “Ontology of ground source heat pump”. Renewable and Sustainable Energy Reviews, Volume 49, September 2015, pp.51–59.
17. Kristina Ek, Patrik Söderholm, (2010). “The devil in the details: Household electricity saving behavior and the role of information”. Journal of Energy Policy, Volume 38, Issue 3, March 2010, pp.1578–1587.
18. María Auxilio Medina Nieto (2003). “An Overview of Ontologies”. VUB STAR.Lab. [Online].Available:http://www.starlab.vub.ac.be/teaching/ontologies_overview.pdf (Accessed Jan. 1, 2017)
19. Mario J. Kofler and Wolfgang Kastner, (2010). “A Knowledge Base for Energy-Efficient Smart Homes” Energy Conference and Exhibition, 2010 IEEE International, Manama, Bahrain.
20. Mario J. Kofler, Christian Reinisch, Wolfgang Kastner, (2012). “A semantic representation of energy-related information in future smart homes”. Energy and Buildings, Volume 47, April 2012, pp.169–179
21. Martin Joseph O′Connor and Amar Das (2009). “SQWRL: a query language for OWL” Stanford Center for Biomedical Informatics Research, California.
66
22. Miranda Mirosa, Rob Lawson, and Daniel Gnoth, (2011). ”Linking Personal Values to Energy-Efficient Behaviors in the Home”. Environment and Behavior, Vol 45, Issue 4 (2013), pp.455-475
23. Mitsutsugu Hamamoto, (2013). “Energy-saving behavior and marginal abatement cost for household CO2 emissions”. Journal of Energy Policy, Volume 63, December 2013, pp.809–813.
24. Noy N.F., McGuinners D.L. (2001). “Ontology Development 101: A Guide to Creating Your First Ontology”. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Information Technical Report SMI-2001-0880, March
25. Ritchie, J.R.B., McDougall, G.H.G., (1985). “Designing and marketing consumer energy conservation policies and programs: implications from a decade of research”. Journal of Public Policy and Marketing, Vol. 4 (1985), pp.14–32.
26. Tom Gruber (1993). “A translation approach to portable ontology specifications”. Knowledge Acquisition, Volume 5, Issue 2, June 1993, pp.199-220
27. Tom Gruber (2009). Ontology. [Online]. Available:http://tomgruber.org/writing/ontology-definition-2007.htm. (Accessed Jan. 1, 2017)
28. Toshio Fujimi, Yoshio Kajitani, Stephanie E. Chang, (2016) “Effective and persistent changes in household energy-saving behaviors: Evidence from post-tsunami Japan”. Journal of Applied Energy, Volume 167, 1 April 2016, pp.93–106.
29. World Wide Web Consortium (2004). “SWRL: A Semantic Web Rule Language Combining OWL and RuleML”. [Online]. Available: http://www.w3.org/Submission/SWRL/. (Accessed Jan. 1, 2017)
30. World Wide Web Consortium (2008). “SPARQL Query Language for RDF”. [Online]. Available: https://www.w3.org/TR/rdf-sparql-query/. (Accessed Jan. 1, 2017)
31. Wouter Poortinga, Linda Steg, Charles Vlek, (2004). “Values, Environmental Concern, and Environmental Behavior A Study into Household Energy Use”. Environment and Behavior, Vol. 36 No. 1, January 2004, pp.70-93.
32. Wouter Poortinga, Linda Steg, Charles Vlek, Gerwin Wiersma, (2003). “Household preferences for energy-saving measures: A conjoint analysis”. Journal of Economic Psychology, Volume 24, Issue 1, February 2003, pp.49–64.
33. 丁冠博, (2013), 應用Ontology/Protégé/SWRL於建築資訊模型上進行推論，國立中央大學土木工程研究所碩士論文，未出版，桃園，2013
34. 林聖峰, (2013), 架構改變時比較知識本體與資料庫，國立中央大學軟體工程
67
研究所碩士論文，未出版，桃園，2013
35. 能源科技中心(2016). [Online]. http://www.etc.ndhu.edu.tw/files/13-1090-83052.php (Accessed Jan. 1, 2017)
36. 經濟部能源局(2017). [Online]. http://ebook.energypark.org.tw/books/admin/5/ (Accessed Jan. 1, 2017)

指導教授

周建成

審核日期

2017-8-22

推文