| 摘要: | 醫院為公共健康的重要場所，其內部環境的空氣品質對於人們的健康至關重要。有效改善醫院內的空氣品質，已成為當前亟待解決的問題。所以，本研究目的在利用AI智慧節能系統對醫院空氣品質的提升報告與探討。本研究於2024年醫院採用AI智慧節能系統，選擇院內人員聚集最多且出入最頻繁的地區，設置AI監測空氣品質系統。另外，藉由一些實務硬體設備的改善及管理上的軟體宣導作法，以達院內空氣品質提升及節能減碳的成效。採用全民通用的多合一空氣品質偵測器監測「生物性污染物」中的懸浮微粒、一氧化碳、二氧化碳和採樣室內空氣中細菌。且採取院內淨零節能教育宣導，在各病房樓層的樓梯間張貼海報文宣及向員工教育委員會申請新增數位學習課程。研究結果顯示無論自主檢驗「生物性污染物」和外部稽查採樣室內空氣中細菌皆符合規定。院內員工教育委員會的繼續教育平台也新增5堂相關的數位學習課程。醫院透過AI智慧節能設備及技術的智能監控、數據分析和能源使用流向，獲得較高節能效果及減少有害健康的氣體排放，並且改善空氣品質。目前仍需要解決數據量化、設備整合、技術優化等問題以達整體AI智慧節能的目標。未來，隨著AI技術的進步和相關政策的推廣，運用AI智慧節能和空氣品質提升將成為推動永續淨零發展的主力。
Hospitals are important places for public health, and the air quality of their internal environment is crucial to people's health. Effectively improving the air quality in hospitals has become an urgent issue that needs to be addressed. Therefore, the purpose of this study is to report and discuss the improvement of hospital air quality using AI smart energy-saving system. In this study, the hospital adopted an AI smart energy-saving system in 2024, selected the areas with the largest number of people gathered and the most frequent entry and exit in the hospital, and set up AI to monitor the air quality. In addition, through the improvement of some practical hardware equipment and the promotion of management software, the air quality in the hospital can be improved and energy conservation and carbon reduction can be achieved. Use a universal all-in-one air quality detector to monitor suspended particulate matter, carbon monoxide, carbon dioxide and bacteria in sampled indoor air. The hospital also implemented net zero energy conservation education and promotion, posted posters in the stairwells of ward floors, and applied to the employee education committee for the addition of new digital learning courses. The research results show that both the self-testing of "biological pollutants" and the external audit sampling of indoor air bacteria are in compliance with regulations. The hospital’s Staff Education Committee’s continuing education platform has also added five relevant digital learning courses. The hospital achieves higher energy-saving effects, reduces emissions of gases that are harmful to health, and improves air quality through intelligent monitoring, data analysis, and energy usage flows using AI smart energy-saving equipment and technologies. At present, problems such as data quantification, equipment integration, and technology optimization still need to be solved in order to achieve the overall goal of AI smart energy saving. In the future, with the advancement of AI technology and the promotion of relevant policies, the use of AI for smart energy saving and air quality improvement will become the main force in promoting sustainable net zero development. |
