智慧整合感控系統是「工業4.0」的關鍵技術,以物聯網為基礎整合虛擬及真實世界的資訊,包含了感測、網路、運算、決策、執行和實體等的系統。在智慧工廠中導入智慧整合感控系統以建構無人搬運車系統,需完善的開發流程與設計概念,以符合生產現場需求。 本研究以分散式流程規劃、自適應流程規劃與物聯網三層式架構的概念,設計一個無人搬運車系統與其相關的作業流程,使無人搬運車於智慧工廠內能夠做到即時資訊的反應、回饋與修正。本研究使用統一塑模語言呈現系統化、結構化以及模組化的設計,此設計考量無人搬運車系統的擴充性、開放性和延展性,並展現作業流程。本研究所提出的自適應控制系統架構包括了五個子系統,並以「運送作業系統」進行實驗,以驗證此子系統的可行性。本研究以Arduino與相關模組建構無人搬運車,並且導入物聯網概念加以進行運送作業,以情境實驗模擬真實情境下的執行結果。本研究已完成兩階段實驗並驗證物聯網三層式架構,結果顯示系統的可靠度與穩定性對實驗的結果有相當大的影響,並且物物相連的物聯網通訊技術對系統的功能與設計皆有影響,可做為導入智慧工廠企業的參考。
Cyber-Physical System (CPS) is the key technology of Industry 4.0. The CPS based on internet of things (IOT) integrates information from virtual and physical worlds. The information includes sensor data, networks, computations, strategic decisions, execution processes and entities. Designing an automated guided vehicle (AGV) system with CPS concept in a smart factory involves a thorough developing plan and new concepts to fulfill the requirements of shop floor in the smart factory. This research used a three-layer structure of IOT with distributed process panning (DPP) and adaptive process planning (APP) concepts to design an AGV system; therefore, the AGV system is capable of responding, feed backing, and performing in real-time in the smart factory. This research applied unified modeling language (UML) to present the design results in systematic, structured and modular ways. This design considered scalability, openness and extension of the AGV system, and it also showed operation processes of the AGV system. The adaptive control system proposed by this research contained five sub-systems, and one of the sub-systems, transporting operation system, was verified through an experiment in this study. The experiment used Arduino and related modules to build AGV models, and applied the concept of IOT to implement the transport operation system. Two scenarios were designed and completed to simulate real situations in a real factory and to verify the developed system. The result shows that the reliability and stability of the AGV models are important in finishing the required tasks, and communication technology of the IOT is crucial to both design and performance of the AGV system.