火場救援佈署之本體論與建築資訊模型設計

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劉展元(Chang-Yuan Liu) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

火場救援佈署之本體論與建築資訊模型設計
(Design of Ontology and Building Information Models for Fire Rescue Deployments)

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摘要(中)

臺灣的住宿式長期照顧(Long-Term Care, LTC)機構火災傷亡數居高不下，但伴隨人口高齡化，LTC服務需求卻仍逐年攀高。就理論來說，雖然住宿式LTC機構存在密集的避難弱勢，這樣的重要設施應在災害的預防跟韌性屬於最高規格。文獻顯示過去雖已增加醫護人員和火災演習次數但仍未有效改善。研究目標認為應改進目前仍使用平面圖與經驗法則的火場搶救佈署。我們從建築資訊模型與本體論出發，發展火場搶救佈署輔助系統。它包含「建築物的物件數值運算」與「搶救指揮官的邏輯客製化」。救火指揮官將設計自己的火場搶救流程，並由系統運算此流程在某建築物的結果。此作法可 1) 減少計算路線所消耗的時間 2) 讓救火指揮官藉由了解機制信任系統的運算結果3) 輕易變換情境設定與指揮官邏輯。
　　結論認為研究作法不僅提供電腦取代責任制決策的作法也是簡化變更邏輯推論的繁雜作業量。與此同時，現階段臺灣火場救援和建築物結構的弱勢也將在數位化的同時突顯出來。未來希望除了能應用在其他領域外，還能用深度學習取代使用者無法描述邏輯的部分，並分析使用者的信任度變化。

摘要(英)

The number of fire casualties in residential long-term care (LTC) facilities in Taiwan remains high, but with the aging population, the demand for LTC services is still rising year by year. In theory, although residential LTC facilities have a dense population of people with disabilities, such critical facilities should be of the highest standard in disaster prevention and resilience. The literature shows that although the number of medical staff and fire drills has been increased in the past, it has not been effectively improved. The goal of the research is to improve the fire rescue deployment that still uses floor plans and rules of thumb. Starting from building information model (BIM) and ontology, we develop a support system for fire rescue deployment. It includes object numerical calculation of buildings and logical customization of fire commander. The fire commander will design his own fire rescue process, and the system will calculate the result of this process in a certain building. This approach can 1) reduce the time consumed in calculating the route 2) let the fire commander trust the calculation result of the system by understanding the mechanism 3) easily change the scenario setting and the fire commander logic.
It is concluded that the research method not only provides a method for computers to replace accountability decision-making, but also simplifies the complicated workload of changing logic reasoning. At the same time, the weakness of fire rescue and building structures in Taiwan will also be highlighted as digitization. In the future, we hope that in addition to being applied in other fields, deep learning can be used to replace parts that users cannot describe logic, and to analyze changes in the trust of the user.

關鍵字(中)

★ 建築資訊模型
★ 本體論
★ 決策支援系統
★ 火場救援

關鍵字(英)

★ Building Information Modeling
★ Ontology
★ Decision Support System
★ Fire Rescue

論文目次

摘要 i
Abstract ii
誌謝 iv
Table of Contents v
List of Figures viii
List of Tables xi
Chapter 1 Introduction 1
1-1　　Research Background and Motivations 1
1-2　　Research Question and Objectives 9
1-3　　Research Scope and Limitations 10
1-4　　Research Steps 12
1-5　　Dissertation Structure 13
Chapter 2 Related Work 14
2-1　　Fire Rescue Deployment 14
2-2　　Building Information Modeling 16
2-3　　Ontology 18
2-4　　Summary 20
Chapter 3 System Design 21
3-1　　Framework 21
3-1-1　System Architecture 21
3-1-2　System Flowchart 23
3-2　　Building Modeling 25
3-2-1　Element Partition 25
3-2-2　Graph Path Setting 27
3-3　　Model Abstraction 29
3-3-1　Class Diagram of Plug-in 29
3-3-2　Class Diagram of Ontology 32
3-3-3　Abstraction and Primary Key 32
3-4　　Ontology Modeling 33
3-4-1　Document Object Model 33
3-4-2　Project Object Model 35
3-4-3　Automatic Ontology Modeling 37
3-4-4　Open World Assumption 38
3-5　　Ontology Reasoning 40
3-5-1　Fire Rescue Data 40
3-5-2　Ontology Reasoning Formula 43
3-5-3　SWRL in Java 45
3-6　　Ontology Query 46
3-6-1　SQWRL 46
3-6-2　Performance and Limitations 47
Chapter 4 System Implementation 49
4-1　　Fire Commander 49
4-1-1　Commander A 49
4-1-2　Commander B 51
4-1-3　Mutual Proofreading 53
4-2　　Logic Customization 55
4-2-1　 Fire Rescue Reasoning Rules of Command A 55
4-2-2　 Fire Rescue Reasoning Rules of Command B 57
4-2-3　 Fire Rescue Reasoning Rules of Information Officer 60
4-3　　Case Description 60
4-3-1　Case A 61
4-3-2　Case B 63
4-4　　Case Analysis 66
4-4-1　System Operation 67
4-4-2　Case A 68
4-4-3　Case B 72
Chapter 5 Verification and Validation 77
5-1　　Verification 77
5-1-1　Verification System User Interface 77
5-1-2　Background Operation Verification of System 79
5-2　　Validation 84
5-2-1　Preliminary Questionnaire 85
5-2-2　Second Questionnaire 86
5-2-3　Summary 89
Chapter 6 Conclusions, Contributions and Future Work 90
6-1　　Conclusions 90
6-2　　Contributions 92
6-3　　Future Work 93
Appendix A 95
Appendix B 96
Appendix C 102
Appendix D 113
Appendix E 122
Appendix F 136
Appendix G 143
Appendix H 153
Bibliography 156
評審意見回應表 167

參考文獻

Aiken, L. H., Sloane, D. M., Bruyneel, L., van den Heede, K., Griffiths, P., Busse, R., Diomidous, M., Kinnunen, J., Kózka, M., Lesaffre, E., McHugh, M. D., Moreno-Casbas, M. T., Rafferty, A. M., Schwendimann, R., Scott, P. A., Tishelman, C., van Achterberg, T., and Sermeus, W. (2014). Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study. Lancet. doi:10.1016/S0140-6736(13)62631-8
Amailef, K., & Lu, J. (2013). Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services. Decision Support Systems, 55(1), 79-97. doi:10.1016/j.dss.2012.12.034
Autodesk. (2016). The Value of BIM for Owners: Save Time and Money During the Building Lifecycle. Autodesk, San Rafael, California. Retrieved November 1, 2021, from https://damassets.autodesk.net/content/dam/autodesk/www/solutions/bim/images/stories/The%20business%20benefits%20of%20BIM%20to%20Owners%20(Owners%20PPT)%202016%20update.pdf
Azhar, S. (2011). Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry. Leadership and Management in Engineering, 11(3), 241–252. doi:10.1061/(asce)lm.1943-5630.0000127
Beetz, J. (2009). Facilitating distributed collaboration in the AEC/FM sector using Semantic Web Technologies (Ph.D. Dissertation). Technische Universiteit Eindhoven, Eindhoven, Netherlands. doi: 10.6100/IR652808
Bertolini, A. (2020). Artificial Intelligence and Civil Liability. European Parliament′s Committee on Legal Affairs, PE 621.926. Retrieved October 15, 2021 from https://www.europarl.europa.eu/RegData/etudes/STUD/2020/621926/IPOL_STU(2020)621926_EN.pdf
British Broadcasting Corporation. (2021). Kaohsiung: Fire at Taiwan tower block kills at least 46. Retrieved October 15, 2021 from https://www.bbc.com/news/world-asia-58887760
Cable News Network. (2018). Taipei hospital fire leaves 9 dead, 15 injured. Retrieved October 15, 2021 from https://edition.cnn.com/2018/08/13/asia/taipei-hospital-fire-intl/index.html
Centers for Disease Control and Prevention. (2019). Long-term Care Providers and Services Users in the United States, 2015–2016. No. 2019-1427. Retrieved October 15, 2021 from https://www.cdc.gov/nchs/data/series/sr_03/sr03_43-508.pdf
Central Intelligence Agency. (n.d.). Country Comparisons - Total fertility rate. THE WORLD FACTBOOK. Retrieved October 15, 2021 from https://www.cia.gov/the-world-factbook/field/total-fertility-rate/country-comparison
Charlesraj, V. Paul C. (2014). Knowledge-based Building Information Modeling (K-BIM) for Facilities Management. 31st International Symposium on Automation and Robotics in Construction and Mining. Oulu, Finland. doi:10.22260/ISARC2014/0127
Chen, A. Y., & Chu, J. C. (2016). A TDVRP and BIM Integrated Approach for in-Building Emergency Rescue Routing. Journal of Computing in Civil Engineering, 30(5), C4015003. doi:10.1061/(asce)cp.1943-5487.0000522
Chen, X. S., Liu, C. C., & Wu, I. C. (2018). A BIM-based visualization and warning system for fire rescue. Advanced Engineering Informatics, 37, 42-53. doi:10.1016/j.aei.2018.04.015
Chou, J. S., Cheng, M. Y., Hsieh, Y. M., Yang, I. T., & Hsu, H. T. (2018). Optimal path planning in real time for dynamic building fire rescue operations using wireless sensors and visual guidance. Automation in Construction, 99, 1-17. doi:10.1016/j.autcon.2018.11.020
Columbia Broadcasting System News. (2018). Fire guts welfare home, kills 11 mostly elderly residents. Retrieved October 15, 2021 from https://www.cbsnews.com/news/japan-welfare-home-fire-sapporo-hokkaido-mostly-elderly-dead/
Deshpande, N., & Kumbhar, R. (2011). Construction and Applications of Ontology: Recent Trends. DESIDOC Journal of Library & Information Technology, 31(2), 84-89. doi:10.14429/djlit.31.2.859
De Nicola, A., Missikoff, M., & Navigli, R. (2009). A software engineering approach to ontology building. Information Systems, 34(2), 258–275. doi:10.1016/j.is.2008.07.002
Dietz, R. (2020). How Many Homes are Concrete-Framed? Eye on Housing. Retrieved November 1, 2021 from https://eyeonhousing.org/2020/09/how-many-homes-are-concrete-framed/
El-Diraby, T., Lima, C., & Feis, B. (2005). Domain Taxonomy for Construction Concepts: Toward a Formal Ontology for Construction Knowledge. Journal of Computing in Civil Engineering, 19(4), 394-406. doi:10.1061/(asce)0887-3801(2005)19:4(394)
Hsieh, C. C., Liu, C. Y., Wu, P. Y., Jeng, A. P., Wang, R. G., & Chou, C. C. (2019). Building information modeling services reuse for facility management for semiconductor fabrication plants. Automation in Construction, 102, 270-287. doi:10.1016/j.autcon.2018.12.023
International Association of Fire Chiefs. (2014). Ladder Collapses During Initial Attack. Near Miss. Retrieved November 1, 2021 from http://www.firefighternearmiss.com/Reports?id=6192
International Association of Fire Chiefs. (2019). NEAR MISS REPORT OF THE WEEK: 1 MAY 2019. Near Miss. Retrieved October 15, 2021 from http://www.firefighternearmiss.com/Reports?id=15905
Kim, T. W., & Fischer, M. (2014). Ontology for Representing Building Users’ Activities in Space-Use Analysis. Journal of Construction Engineering and Management, 140(8), 04014035. doi:10.1061/(asce)co.1943-7862.0000881
Lee, E. (2019). Comparative Analysis between the Jecheon Sports Center and Miryang Sejong Hospital Fires. Journal of the Korean Society of Hazard Mitigation, 19(5), 151–158. doi:10.9798/KOSHAM.2019.19.5.151
Leite, F., & Akinci, B. (2012). Formalized Representation for Supporting Automated Identification of Critical Assets in Facilities during Emergencies Triggered by Failures in Building Systems. Journal of Computing in Civil Engineering, 26(4), 519-529. doi:10.1061/(asce)cp.1943-5487.0000171
Lim, Y., Lim, S., Choi, J., Cho, S., Kim, C., & Lee, Y. (2007). A Fire Detection and Rescue Support Framework with Wireless Sensor Networks. 2007 International Conference on Convergence Information Technology. Gyeongju, South Korea, 2007. doi:10.1109/ICCIT.2007.352
Liu, C. Y., & Chou, C. C. (2021). A Methodology for Non-programmers to Automatically Establish Facility Management System with Ontology in Building Information Modeling. Lecture Notes in Civil Engineering, 98, 657-671. doi:10.1007/978-3-030-51295-8_46
Luo, H., Peng, X., & Zhong, B. (2016). Application of Ontology in Emergency Plan Management of Metro Operation. Procedia Engineering, 164, 158-165. doi:10.1016/j.proeng.2016.11.605
National Fire Protection Association. (2017). Structure Fires in Health Care Facilities. No. USS99. Retrieved October 15, 2021 from https://www.nfpa.org//-/media/Files/News-and-Research/Fire-statistics-and-reports/Building-and-life-safety/oshealthcarefacilities.pdf
National Fire Protection Association. (2020). Fire Loss in the United States during 2019. No. FLX10. Retrieved October 15, 2021 from https://www.nfpa.org/~/media/fd0144a044c84fc5baf90c05c04890b7.ashx
National Institute on Aging. (2017). What Is Long-Term Care? Retrieved October 15, 2021 from https://www.nia.nih.gov/health/what-long-term-care
NUMBEO. (2021). Property Prices Index by Country 2021 Mid-Year. Retrieved October 15, 2021 from https://www.numbeo.com/property-investment/rankings_by_country.jsp
Nunavath, V., & Prinz, A. (2017). Visualization of Exchanged Information with Dynamic Networks: A Case Study of Fire Emergency Search and Rescue Operation. 2017 IEEE 7th International Advance Computing Conference. Hyderabad, India. doi:10.1109/IACC.2017.0068
Pouchard, L., Ivezic, N., & Schlenoff, C. (2000). Ontology Engineering for Distributed Collaboration in Manufacturing. Artificial Intelligence and Simulation Conference. Tucson, Arizona.
Preidel, C., Daum, S., & Borrmann, A. (2017). Data retrieval from building information models based on visual programming. Visualization in Engineering, 5(1). doi:10.1186/S40327-017-0055-0
Ren, Z., & Anumba, C. (2004). Multi-agent systems in construction–state of the art and prospects. Automation in Construction, 13(3), 421-434. doi:10.1016/j.autcon.2003.12.002
Seipel, D., Hanus, M., & Abreu, S. (2017). Declarative Programming and Knowledge Management: Conference on Declarative Programming, DECLARE 2017, Unifying INAP, WFLP, and WLP, Würzburg, Germany, September 19–22, 2017, Revised Selected Papers. New York: Springer-Verlag New York Inc.
Sha, K., Shi, W., & Watkins, O. (2006). Using Wireless Sensor Networks for Fire Rescue Applications: Requirements and Challenges. 2006 IEEE International Conference on Electro/Information Technology. East Lansing, East Lansing, Michigan. doi:10.1109/EIT.2006.252145
Singer, D., & Borrmann, A. (2015). A Novel Knowledge-Based Engineering Approach for Infrastructure Design. The Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering. Prague, Czech Republic. doi:10.4203/ccp.109.17
Sivaramakrishnan, K. C., Kaki, G., & Jagannathan, S. (2015). Declarative programming over eventually consistent data stores. 36th ACM SIGPLAN Conference on Programming Language Design and Implementation. Portland, Oregon. doi:10.1145/2813885.2737981
Tan, L., Hu, M., & Lin, H. (2015). Agent-based simulation of building evacuation: Combining human behavior with predictable spatial accessibility in a fire emergency. Information Sciences, 295, 53-66. doi:10.1016/j.ins.2014.09.029
The World Bank. (2019). Population ages 65 and above (% of total population). Retrieved October 15, 2021 from https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS
Tsetsos, V., Anagnostopoulos, C., Kikiras, P., & Hadjiefthymiades, S. (2006). Semantically enriched navigation for indoor environments. International Journal of Web and Grid Services, 2(4), 453-478. doi:10.1504/ijwgs.2006.011714
United Nations. (2019). World Population Ageing 2019: Highlights. ST/ESA/SER.A/430. Retrieved October 15, 2021 from https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf
Volk, R., Stengel, J., & Schultmann, F. (2014). Building Information Modeling (BIM) for existing buildings — Literature review and future needs. Automation in Construction, 38, 109–127. doi:10.1016/j.autcon.2013.10.023
Wang, T. Y., & Tsai, K. C. (2019). Investigation Report of Bei-Men Hospital Fire in Taiwan on October 23, 2012. The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology. doi:10.1007/978-981-32-9139-3_63
尹祚芊, 仉桂美, 游聲麒, & 陳良輔. (2015). 日本老人福利機構考察報告. 監察院. Retrieved October 15, 2021 from https://www-ws.cy.gov.tw/Download.ashx?u=LzAwMS9VcGxvYWQvQ3lPbGRGaWxlL1VwbG9hZC9LUG9zdF9Ub091dC85OTQwL%2BaXpeacrOiAgeS6uuemj%2BWIqeapn%2Bani%2BiAg%2BWvn%2BWgseWRii5wZGY%3D&n=5pel5pys6ICB5Lq656aP5Yip5qmf5qeL6ICD5a%2Bf5aCx5ZGKLnBkZg%3D%3D
內政部統計處. (2018). 內政統計通報107年第26週. 內政統計通報. Retrieved October 15, 2021 from https://tinyurl.com/zk4pajxt
內政部統計處. (2020). 內政統計通報109年第46週. 內政統計通報. Retrieved November 1, 2021 from http://www.stat.org.tw/data/asoctopic/%E4%BD%8F%E5%AE%85%E6%A6%82%E6%B3%81.pdf
內政部消防署. (2020). 消防機關火場指揮及搶救作業要點. 消防法令查詢系統. Retrieved November 1, 2021 from https://law.nfa.gov.tw/mobile/law.aspx?LSID=FL035050
中華民國護理師護士公會全國聯合會. (2016). 103年護理薪資與護病比調查(會員版)統計. Retrieved October 15, 2021 from https://www.nurse.org.tw/publicUI/H/H10201.aspx?arg=8D5366BC3DBA7BA053
台灣醫療改革基金會. (2014). 各國護病比超級比一比. Retrieved October 15, 2021 from https://www.thrf.org.tw/archive/1092
林慧茹. (2016). 不得不開源節流的日本長照. 想想論壇. Retrieved October 15, 2021 from https://www.thinkingtaiwan.com/content/5685
政府資料開放平台. (2020). 109年全日平均護病比. Retrieved October 15, 2021 from https://data.gov.tw/dataset/119725
桃園市政府消防局. (2020). 長期照顧機構火場救援專家座談會. 桃園市政府消防局, 桃園市, 臺灣.
財團法人徐元智先生紀念基金會. (2018). 遠東白皮書 5 - 長照需求下的外籍看護勞動權益. Retrieved October 15, 2021 from https://www.feg.com.tw/tw/publish/publish.aspx?id=18
莊秀美. (2005). 少子高齡化社會的福利政策建構：日本因應對策之分析. 社區發展季刊, 110, 397-391. Retrieved October 15, 2021 from https://www.sfaa.gov.tw/SFAA/Pages/ashx/File.ashx?FilePath=~/File/Attach/1390/File_1869.pdf
黃毓瑩. (2019). 【產業研究室】日本長照產業分析報告摘錄：產業現況篇. ĀnkěCare創新照顧. Retrieved October 15, 2021 from https://www.ankecare.com/2019/15749
新北市政府. (2021). 110年度「精神病人長期照顧示範計畫」修正執行規劃書. Retrieved October 15, 2021 from https://www.health.ntpc.gov.tw/archive/file/%E6%96%B0%E5%8C%97%E5%B8%82%E6%94%BF%E5%BA%9C%E8%A1%9B%E7%94%9F%E5%B1%80110%E5%B9%B4%E5%BA%A6%E3%80%8C%E7%B2%BE%E7%A5%9E%E7%97%85%E4%BA%BA%E9%95%B7%E6%9C%9F%E7%85%A7%E9%A1%A7%E7%A4%BA%E7%AF%84%E8%A8%88%E7%95%AB%E3%80%8D%E4%BF%AE%E6%AD%A3%E5%9F%B7%E8%A1%8C%E8%A8%88%E7%95%AB%E6%9B%B8-0315.pdf
新北地方檢察署. (2019). 臺灣新北地方檢察署新聞稿. Retrieved November 1, 2021 from https://www.pcc.moj.gov.tw/media/178096/942493055840.pdf?mediaDL=true
衛生福利部. (2017). 住宿式長照機構之設立標準表. 全國法規資料庫. Retrieved October 15, 2021 from https://law.moj.gov.tw/LawClass/LawGetFile.ashx?FileId=0000198448&lan=C
衛生福利部. (2020). 長期照顧十年計畫2.0. 長期照顧的整體政策藍圖. Retrieved October 15, 2021 from https://1966.gov.tw/LTC/cp-4001-42414-201.html
衛生福利部. (2021A). 老人長期照顧、安養機構概況. Retrieved October 15, 2021 from https://dep.mohw.gov.tw/dos/cp-2977-13854-113.html
衛生福利部. (2021B). 老人福利機構設立標準. 全國法規資料庫. Retrieved October 15, 2021 from https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=L0070040
衛生福利部. (2021C). 長期照顧服務法. 全國法規資料庫. Retrieved October 15, 2021 from https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=D0050039
潘國雄. (2019). 機構火災預防與緊急應變. 108年度精神復健機構輔導研討會. 臺北市, 臺灣. Retrieved October 15, 2021 from https://www.jct.org.tw/lp-1167-1-xCat-17.html
簡慧娟, 莊金珠, & 楊雅嵐. (2013). 我國長期照顧十年計畫現況與檢討. 社區發展季刊, 141, 6-18. Retrieved October 15, 2021 from https://www.sfaa.gov.tw/SFAA/Pages/ashx/File.ashx?FilePath=~/File/Attach/2099/File_2596.pdf
鐘乃皓. (2019). 美國法上堡壘原則對我國正當防衛法的啟示 (Master′s Thesis). 國立臺灣大學. doi:10.6342/NTU201902341

指導教授

周建成(Chien-Cheng Chou)

審核日期

2022-1-24

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