施工架系統是現地施工重要的假設工程，根據OSHA統計，一項工程專案約有65%的施工人員會頻繁地使用施工架系統，且每年有約4500件受傷意外、50件死亡意外和施工架系統有關，而雇主則必須為損失的工作天多付出9億美元的代價，由此可知施工架系統之風險管理的重要性。施工架安全施工雖有制定相關法規，但卻很難落實於現地工程管理，其主原因為專案多使用二維圖面及紙本資訊，對於現地安全管理者而言，需轉換大量資訊以便落實現地自主檢查表檢查項目以符合安全法規，而隨工程複雜度日益漸增，如何有效且確實地進行施工架系統之風險管理便是一個重要的議題。目前建築資訊模型(Building Information Modeling, BIM)可將大量二維圖紙及相關資訊轉換至模型中，但BIM模型的建置多針對建物本身，而將假設工程排除在外，導致和假設工程相關之風險議題難以在模型中被辨識及分析。
因此，本研究以安全管理者的角度出發，利用BIM模型可視化及攜帶資訊的優點，建構以BIM為基礎之鷹架風險管理模式。首先透過Ontology解析鷹架自動化佈設資訊需求，再透過BIM模型提供之建築物空間及幾何資訊，利用Revit之外掛程式Dynamo自動化佈設於建物外圍符合規範之施工架系統，一方面使用此模型進行風險模擬分析，以便對現地施工人員進行教育訓練；另一方面根據不同情形產出自主檢查表，並將須被檢查之項目在模型中標示出來並產生明細表，減少現地安全管理執行上的困難，能更有效地落實自主檢查表之查核內容，提升現地之安全管理品質。

Scaffolding system plays an important role at construction sites. According to the Occupational Safety and Health Administration (OSHA), 65% of the construction workers use scaffolding system frequently. Each year, there are 4500 injuries and 50 death caused by scaffold-related accidents, costing American employers $90 million on lost workdays. Thus well conducted risk analysis on the scaffolding system could have significant impact on project performance. Although many governments developed safety regulations and standards for the scaffolding system, it is still a challenge for construction safety mangers to execute these regulations at construction sites. One of the reasons is that these regulations are documents which require construction safety manager to accurately translate the information with 2-dimentional drawings into a workable safety plan. Building Information Modeling (BIM) has been employed to enhance the safety management at the construction site; however, the scaffolding system, as the temporary facility, is usually not developed in the BIM model. Consequently, scaffold-related hazards are hard to be identified and analyzed.
This study focuses on constructing a BIM-based scaffolding safety management model to analyze various scaffold-related risks and provide solutions. First, the requirements for scaffolding planning are identified by developing an ontology for risk analysis. Then a series of Dynamo modules are established to automate the process of developing the scaffolding system in the BIM model according to the requirements identified. Next, various simulations based on the potential hazard events are conducted to serve as a tool for educating construction workers and determining solutions. In addition, safety check lists with 3-D location information are derived from the BIM model to help safety managers reduce the difficulties of implementing safety regulations and improve the quality of safety management at construction sites.

 英文文獻
[1]. Axel Antonio Guzman Abril, ”Hazard identification through BIM and virtual simulations – A case study of the Panama’s MRT station project” Master’s thesis. National Cheng Kung University, Tainan. 2016.
[2]. Construction safety and OSHA handbook, Delmar cengage learning, the USA.
[3]. Ding L.Y., Zhong B.T., Wub S., Luo H.B. “Construction risk knowledge management in BIM using ontology and semantic web technology.” Safety Science 87:202-213. 2016.
[4]. Dynamo Primer. http://dynamoprimer.com/en/
[5]. Eastman, C., Teicholz, P., Sac.,and Liston,K. BIM handbook : a guide to building information modeling for owners, managers, designers,engineers and contractors. 2011.
[6]. Gruber, T. R. A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199-220. doi:http://dx.doi.org/10.1006/knac.1993.1008.1993.
[7]. Gruber, T. R. Ontology. 2008.
[8]. Gruber, T. R. Toward Principles for the Design of Ontologies Used for Knowledge Sharing. 1993.
[9]. Kim K., and Teizer J. “Automatic design and planning of scaffolding systems using building information modeling.” Advanced Engineering Informatics 28(1): 66-80. 2014.
[10]. Kim K., Cho Y. “Integrating work sequences and temporary structures into safety planning: Automated scaffolding-related safety hazard identification and prevention in BIM” Automation in Construction70: 128-142. 2016.
[11]. Lu Y., Li Q., Zhou Z., Deng Y.,” Ontology-based knowledge modeling for automated construction safety checking.” Safety Science 79:11-18. 2015.
[12]. Noy, N. F. and mcguinness, Deborah L.Ontology Development 101: A Guide to Creating Your First Ontology, Online. 2001.
[13]. Perlman A., Sacks R., Barak R. “Hazard recognition and risk perception in construction” Safety Science 64: 22-31. 2014.
[14]. Stanford University. Protegewiki. http://protegewiki.stanford.edu/wiki/Main_Page.
[15]. USC, University of Southern California, Building Information Modeling (BIM) Guidelines, California: University of Southern California. 2012.
[16]. Zhang S, Frank B, Jochen T,”Ontology-based semantic modeling of construction safety knowledge:Towards automated safety planning for job hazard analysis (JHA)” Automation in Construction 52, pp. 29–41. 2015.
[17]. Zhang S., Teizer J. Lee J.K, Eastman C., Venugopal M. “Building Information Modeling (BIM) and Safety: Automatic Safety Checking of Construction Models and Schedules” Automation in Construction 29: 183-195. 2013.
[18]. Zhang, Y., X. Luo, Y. Zhao and H.-c. Zhang. "An ontology-based knowledge framework for engineering material selection." Advanced Engineering Informatics 29(4): 985-1000. 2015.
 [19].
 中文文獻
[1]. 丁冠博，應用Ontology/Protege/SWRL於建築資訊模型上進行推論，碩士論文，國立中央大學，桃園市，2013。
[2]. 行政院勞委會職業安全衛生署，104年勞動檢查年報
[3]. 李佳融，COBie為基礎之BIM設施管理資訊交付模式－以故障維護管理為例，碩士論文，國立成功大學土木工程學研究所，2015。
[4]. 林子涵，應用Ontology與BIM於室內裝修工程排程管理，碩士論文，國立成功大學，台南市，2016。
[5]. 法務部。全國法規資料庫，2017。
[6]. 洪鈺函，BIM-based 施工安全管理模式---以預防墜落意外為例，碩士論文，國立成功大學土木工程學研究所，2015。
[7]. 張篤軍、沈育霖，職場常見危害及安全改善實例，勞工安全衛生研究季刊，第17卷第2期，2009。
[8]. 郭榮欽.BIM導入四部曲.營建知訊,344期(財團法人台灣營建研究院)，2011。
[9]. 勞動部勞動及職業安全衛生研究所https://www.ilosh.gov.tw/menu/1169/1172/
[10]. 謝尚賢，領導應用BIM營造廠角色創新，營建知訊， 375期54-58頁，2014。
[11]. 簡翊亘，利用知識本體論建構智慧化BIM成本元件架構，碩士論文，國立成功大學，台南市，2016。