隨著工業4.0的時代來臨，製造業除了面臨傳統表單的無紙化，人工智慧與大數據相關的應用也涉及產業轉型的議題。本研究以系統發展生命週期為基礎，將工廠傳統的設備巡檢作業，在進行巡檢表單電子化的同時，進一步發展並探討智慧巡檢系統在不同階段的開發脈絡，以系統生命週期為基礎，將雲端運算結合智慧化應用。系統開發的過程中，包括：需求分析、規劃設計、程式開發、功能整合、效益與維護，以及開發與需求單位在雙方前期的互動中尋求系統共識，中間由開發單位不同團隊的工程師建置系統，到最後彼此進行系統的效益評估與長期維護的過程，具體描述企業在傳統巡檢的作業，由紙張巡檢轉變為智慧巡檢系統的運用。研究方法採個案研究，以F石油化學品之製造公司為例，該製造業於台灣成立超過六十年的時間，採用大量的連續性製程，必須特別謹慎在例行的巡檢作業，以防設備機台出現異常，導致停機所造成的生產損失。從需求單位的業主與程式開發人員溝通的過程，了解公司在導入新的資訊系統，選擇外包與自行開發所面臨的考量，並從中探討已發展成熟的雲端運算技術，由不同團隊的工程師，包括：網頁功能開發、行動裝置軟體開發、資料庫應用等，再透過平台整合的方式，並結合工業4.0之AI大數據相關的新型態智慧化應用，將系統功能以網站平台與行動裝置平台的模式建置，符合不同職務角色間的使用情境。最後，將透過使用者反饋與資料流動情況，進行後續的效益評估與維護。本研究從傳統工廠走向智慧工廠的歷程，以智慧巡檢系統改善巡檢作業，增進有形的效益（即時通報、智慧分析、預測保養）及無形的效益（歷程紀錄、系統延展性），並提供傳統企業在面臨轉型或系統開發與運用的研究建議。

With the advent of the era of Industry 4.0, the manufacturing sector is faced with the paper-free procedures and systems. The application of artificial intelligence and big data are also involved in the industrial transformation. Based on the system development life cycle, this study further develops and discusses the development of the intelligent inspection system in different stages, while the traditional equipment inspection operation is carried out electronically. Based on the system life cycle, cloud computing is combined with intelligent applications. The system development process, which includes: demand analysis, planning and design, program development, functional integration, efficiency and maintenance, and the development and demand units find system consensus in the early interaction between the two parties. Firstly, the development unit in early interactions; then the building of the system by engineers in diverse teams of the development unit; next, those responsible for evaluating system effectiveness and finally the long-term maintenance of the system. This describes traditional inspection work and hints at what will change from the paper inspection to the intelligent inspection system. The research method adopts the case study approach and considers F petrochemical manufacturing company, as the example. This company has been established in Taiwan for more than 60 years and has taken on a large number of continuous manufacturing processes. Therefore, special care must be taken in the routine inspection operations to prevent a loss in production due to abnormal equipment and machine shutdown. The process of communication between the unit owner and application developers was taken into consideration as the company faced importing a new information system, as well as selecting the outsourcing and self-developed. The development of mature cloud computing technology requires different teams of engineers to work together, such as those involved in web function development, mobile device software development and database application. In addition, there is platform integration, which combines with the Industry 4.0 and the AI big data that relates to new intelligent applications. These ultimately build the system function on the website/mobile device platform and thus, the different job roles each play a crucial part in the situation. Finally, through user feedback and data flow, the follow-up evaluations on effectiveness and further maintenance will be carried out. The process of this study was from traditional systems to intelligent ones, and demonstrates how the intelligent inspection system will improve the inspection operation and enhance the tangible benefits (real-time notification, intelligent analysis, prediction and maintenance, and the intangible benefits (history record, and system extensibility) and provides suggestions on the transformation processes or system development requirements and applications for traditional enterprises.

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