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研究生:陳威翰
研究生(外文):Wei-Han Chen
論文名稱:運用自然語言處理技術輔助工程專案合約利害關係人平台之研究
論文名稱(外文):Developing Cloud Computing based Project Management Platform among Contractual Parties using Natural Language Processing Technology
指導教授:陳介豪陳介豪引用關係
指導教授(外文):Jieh-Haur Chen
學位類別:碩士
校院名稱:國立中央大學
系所名稱:土木系營建管理碩士班
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:152
中文關鍵詞:雲端物聯網文字辨識互動平台深度學習
外文關鍵詞:Internet of Things (IoT)cloud computinginteractive conceptproject managementcontractual managementnatural language processing
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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。本研究目的即為解決上述需求,建置『工程專案管理平台』 利用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,建置『工 程專案合約利害關係人互動平台』,透過資料探勘技術將合約利害關係人連結, 以進行深度管理。經由專家訪談結果彙整不同領域之專家意見,並彙整先前文字 表技術,建置關鍵字偵測演算法,分為三個階段依序為文字偵測、文字辨識與命 名實體辨識,並運用在平台關鍵字搜尋功能,減少使用者在大量資料庫中搜尋所 耗費之時間,提升平台自動化。平台建置分為前端、中繼及後端,前端及中繼層 的多台伺服器搭配伺服器負載平衡設備,可以在連線忙碌時合理分配工作負載, 有效利用伺服器容量,加快伺服器反應速度。本平台分為文件管理、進度管理及 品保管理,讓使用者多方串連達到資源共享的目的,亦能確保隨時能掌握工程之 進度與品質,使所有工程參與者皆能掌控專案進度並控管其品質,如發生進度逾 期或資金流量差異,也能提前做出預備方案,確保專案如期如質的進行。
Technological developments has made the construction industry efficient. The aim of this research is to solve communication interaction problems to build a project management platform using natural language processing technology integrating cloud computing and the Internet of Things (IoT) interactive concepts. Through collecting large amount of daily data, interviewing experts, adopting data mining tools, and constructing webpages with adequate algorithms, the interactive platform for construction contract stakeholders is developed for more in-depth management. The results show that a fully automatic tool facilitating contract management, cost management, scheduling, and documentation is achieved. It can effectively provide the construction practitioners to build and maintain big data in the industrial chain and to allow decision makers to obtain more efficient and affordable decisions through the platform.
目錄
中文摘要i
英文摘要ii
目錄 iv
圖目錄 vi
表目錄 xvii
第一章 緒論1
1.1 研究背景與動機1
1.2 研究目的2
1.3 研究流程3
第二章 文獻回顧5
2.1 工程專案全生命週期5
2.2 雲端物聯網智慧平台5
2.3 場景文字偵測7
2.3.1 CTPN8
2.3.2 SegLink8
2.3.3 EAST10
2.3.4 PSENet12
2.4 場景文字辨識16
2.5 Named Entity Recognition (NER)18
第三章 研究方法22
3.1 專家訪談22
3.2 關鍵字偵測演算法26
第四章 平台建置38
4.1 系統架構38
4.2 平台案例說明39
第五章 結論與建議46
5.1 結論46
5.2 後續研究建議47
參考文獻 48
附錄 A 專家訪談問卷54
附錄 B 平台操作流程58
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