在新能源技術與物聯網（Internet of Things, IoT）迅速發展的背景下，可程式交流電源自動化測試設備推陳出新。本研究運用網路物聯網(Web of Things, WoT)，參照了可編程儀器標準命令 (Standard Commands for Programmable Instruments, SCPI)設計，為可程式交流電源提供一種通用的通訊協定，讓使用者可以針對所需要的資料做存取，以提供更高效的通訊傳輸。本研究利用嵌入式系統模擬可編程交流電源之特性與功能，且具備REST與GraphQL通訊協定。並為使用者設計一個自動化測試軟體，分別以REST與GraphQL語句進行自動化測試與效能比較。經五種功能之實驗測試結果顯示，在最高1 Gbps的有線網路傳輸環境操作中，GraphQL表現優於REST 1.38%。在最高433 Mbps的無線網路傳輸環境中，GraphQL的性能平均提升了10.49%，實驗結果證明GraphQL表現能優於REST。本研究模擬了網路物聯網在可程式交流電源的應用可行性，同時使用GraphQL語句時能更有結構化的設計，來提升使用者對通訊協定的理解，也能更有結構化的設計程式，在自動化整合過程中，能更快速有效的建立。本研究可望為新能源自動化測試與網路物聯網的發展，開創了新的可解決方案。

Under the background of the rapid development of new energy technology and the Internet of Things (IoT), programmable AC power automatic test equipment is updated rapidly. This study uses the Web of Things (WoT) and refers to the design of the Standard Commands for Programmable Instruments (SCPI) to provide a general communication protocol for programmable AC power supplies, allowing users to access to the required data to provide more efficient communication transmission. This study uses an embedded system to simulate the characteristics and functions of a programmable AC power supply, which has REST and GraphQL communication protocols. An automated testing software is also designed for users by using REST and GraphQL protocols for automated testing and performance comparison. Experimental results showed that, under 1 Gbps wired network transmission, GraphQL outperformed REST by an average of 1.38% across five test. In wireless transmission environment with 433 Mbps, GraphQL's performance was improved to an average of 10.49%, clearly demonstrating its superiority over REST. This study simulates the feasibility of applying WoT to programmable AC power supplies. The structured design offered by GraphQL not only enhances the user's understanding of the protocol but also facilitates more structured program design, enabling quicker and more effective development in automated integrated processes. This research paves the way for new solutions in the development of renewable energy automated testing and the Internet of Things.

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