基於Node.js之可攜式定位及生理訊號感測裝置

因應物聯網快速發展及個人生理資訊、健康管理的重視，針對個人的即時定位及生理資訊的感測愈來愈多元，本研究擬以Node.js作為核心語言去開發一套攜帶式感測系統，可應用在人體脈搏即時感測以及即時定位，以達成遠端照護、監控的目的。基於速度的考量本實驗伺服器以Node.js來建構，而非一般常見的PHP；資料庫使用MongoDB儲存資料，以JSON的格式來傳輸，資料內容包括被監測人的帳戶資料、脈搏數值、經緯度，以便分析被監測人的路線以及身體狀況；從AED官方網站取得的OpenData使用Node.js資料爬蟲技術，將所得到的AED資料，經視覺化後結合GoogleMap來呈現；攜帶式硬體裝置以Raspberry Pi Zero W實現，讀取被監測人脈搏數值以及位置的經緯度傳回資料庫，以達成攜帶式感測系統即時遠端監控及即時救援警示的目的。

關鍵字

AED ；生理資訊； Node.js ； MongoDB ；資料爬蟲。

並列摘要

In response to the rapid development of the Internet of Things and the importance of personal physiological information and health management, the sensing of personal immediate positioning and physiological information is becoming more and more diverse. This study intends to develop a portable sensing system based on Node.js as the core language. It can be applied to the human body pulse instant sensing and instant positioning to achieve the purpose of remote care and monitoring. Based on speed considerations, the experimental server is constructed with Node.js rather than the usual PHP; the database uses MongoDB to store data in JSON format. The data content includes the account data of the monitored person, pulse value, latitude and longitude, in order to analyze the route and physical condition of the monitored person; from the AED official The OpenData website obtained by the website uses the Node.js data crawler technology, and the obtained AED data is visualized and combined with GoogleMap. The portable hardware device is implemented by Raspberry Pi Zero W, and the pulse value and position of the monitored person are read. The latitude and longitude is transmitted back to the database to achieve the purpose of real-time remote monitoring and immediate rescue warning of the portable sensing system.