運用大數據關聯法則、群啟發演算法以及深度學習演算法建置雲端智慧物聯 網營建產業鏈互動平台之研究;Establishing Smart Cloud-Iot Interaction Platform for Construction Value Chain Using Sip, Association Rules, and Deep-Learning Computational Approach

NCUIR > Engineering College > Graduate Institute of construction engineering > Research Project > Item 987654321/82429

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/82429

Title:	運用大數據關聯法則、群啟發演算法以及深度學習演算法建置雲端智慧物聯網營建產業鏈互動平台之研究;Establishing Smart Cloud-Iot Interaction Platform for Construction Value Chain Using Sip, Association Rules, and Deep-Learning Computational Approach
Authors:	陳介豪
Contributors:	國立中央大學營建管理研究所
Keywords:	雲端智慧計算;物聯網;互動平台;營建價值鏈;群啟發演算法;深度學習類神經網路;;smart could computation;IOT;interaction platform;construction value chain;swarm inspired algorithm;deep-learning neural network
Date:	2020-01-13
Issue Date:	2020-01-13 14:52:43 (UTC+8)
Publisher:	科技部
Abstract:	科技的改變並促進了營建產業的方便性，許多工具為營建業提供更好的結果，例如發展建築資訊模型（BIM）、APP等。然而，各營造廠或專案的工程平台之間的分享串接仍未實現。本研究目標即為解決上述需求，第一年建置『工程專案管理平台』利用群啟發演算法、雲端計算及物聯網互動概念發展互動平台，整合營建工程項目模組；第二年建置『工程專案合約利害關係人互動平台』，透過大數據及資料探勘技術將合約利害關係人連結，以進行深度管理；第三年建置『營運維護產業鏈雲端智慧互動平台』利用深度學習類神經網路、雲端計算及物聯網技術發展互動平台，發展建築物營運維護階段模組，實現營建產業鏈管理。本研究之預期成果三年期研究可產出六篇國際SCI 期刊及國際研討會論文，本研究之實務成果依營造廠商實際工程需求產出商業軟體，可以有效地幫助我國建立營建(運)維護產業鏈大數據，讓決策者藉由平台獲得最佳決策。 ;The technologies have changed and facilitated convenience for industrialactivities. There are numerous tools trying to provide better outcomes for the construction industry such as Building Information Model (BIM), Apps, etc.Nevertheless, the connection-ability among platforms and adoptability for construction projects or companies remain unfulfilled. The study objectives are to answer the demands so as to establish (Year 1) an interaction platform using Swan Inspired Projection (SIP), cloud computing, and Internet of Things (IoT) concepts to integrate necessary modules for construction projects; (Year 2) the second-phase interaction platform using big data and data mining techniques to connect all contract parties together for deep-insight management; (Year 3) the final phase interaction platform using Deep-learning Neural Networks (DNN),cloud computing, and IoT to incorporate with all entities in the construction value chain for ultimate chain management. The major methodologies lie in three different algorithms utilized to conduct clustering analysis by SIP in order to communicate all modules for a construction project; to build up the association rules that facilities management among all parties; and to connect related entities in the value chain by DNN in order to achieve the real interacting platform and chain management. The anticipated results will certainly fulfill the academicdemands including at least six SCI journal papers and conference papers, and the practical needs including commercial software for construction-related parties/companies.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Graduate Institute of construction engineering] Research Project

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