在人工智慧(AI)蓬勃發展的時代，多項產業都因為AI而有重大的影響與改變，工業物聯網(IIoT)也同樣受到重大的影響，AI帶來的效益包含效率提升、預設性維護、質量控制、自主決策、安全性增強等多種改善提升，帶來了更多智能化、自動化的機會，這些機會可以改善生產過程、節省成本以及提高產品品質。
本論文主要是探討如何透過系統整合，將邊緣運算電腦(Edge Computing)達到更加智能且更節能的系統整合策略。邊緣運算於工業物聯網架構中之重要性，相當於IIoT系統中的關鍵橋樑，將數據處理能力推向物聯網端點，將以工業電腦產業及邊緣運算電腦做為主要的探討目標。本論文透過產業發展、市場趨勢，分別利用五力分析、動態競爭、SWOT等方法，為個案公司進行全面性之策略分析，並以技術藍圖之型式為個案公司規劃下一世代之工業物聯網系統整合之發展方向。

In the era of flourishing Artificial Intelligence (AI), various industries have undergone significant impacts and changes due to AI. Industrial Internet of Things (IIoT) has also been greatly affected, with benefits brought by AI including efficiency improvement, predictive maintenance, quality control, autonomous decision-making, and enhanced security. These improvements provide opportunities for more intelligent and automated processes, offering the potential to enhance production, save costs, and improve product quality.
This paper primarily explores how to achieve a more intelligent and energy-efficient system integration through the integration of Edge Computing. Edge Computing plays a crucial role in the architecture of Industrial Internet of Things, acting as a key bridge in IIoT systems by pushing data processing capabilities to the IoT endpoints. The focus of this paper is on the industrial computer industry and Edge Computing in the context of IIoT. Through industry development, market trends, and comprehensive strategic analysis methods such as Five Forces Analysis, dynamic competition, SWOT analysis, the paper conducts a thorough strategic analysis for the case study company. Additionally, a technology roadmap is proposed as a framework for planning the next-generation Industrial Internet of Things system integration for the case study company.

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