近年來，全球已開發國家都面臨著高齡化甚至超高齡化社會，且在2019 年底爆發了 COVID-19 新冠肺炎疫情，對於老人的生理狀況，及長照中心的安全性，長期照顧議題變得更加刻不容緩。本文提出一種物聯網應用的智慧長照，以 AWS 無伺服器運算為核心，能大幅降低部署伺服器之成本，透過 LoRa 感測器收集長者生理數據並上傳雲端處理，再將資料儲存至資料庫，若生理資訊超出臨界值，則可藉由聊天機器人將警報傳給長者家屬和看護以達到即時通知。長者家屬和看護也可透過聊天機器人查詢長者的生理資訊。另外在長照中心出入口設置 RFID 接收器，長者出入時需透過 RFID 標籤才可進出，進出時相機拍照並透過聊天機器人傳至家屬及看護，避免患者擅自出入，以達到安全控管。;In recent years, the developed country in the world have faced long-term care problems. Besides, COVID-19 outbreaked at the end of 2019. Regarding the physical condition of the elderly and the safety of the long-term care center, the issue of long-term care becomes even more urgent. This paper proposed an IoT applications for smart long-term care, using AWS serverless computing as the core, which can greatly reduce the cost of deploying servers. The physiological data of the elderly is collected through LoRa sensors and uploaded to the cloud for processing, and then the data is stored in the database. If the physiological information exceeds the critical value, the chat bot can be used to send alarms to the family members and caretakers of the elders to achieve instant notification. Elderly family members and caretakers can also check the elder’s physiological information through chat bots. In addition, RFID receivers are installed at the entrances and exits of the long-term care center. The elderly need to pass through the RFID tags to enter and exit. When entering and exiting, the camera takes pictures and transmits them to family members and caretakers through chat bots to avoid unauthorized entry and exit of patients to achieve safety control.
