- 學位論文
建構無線感測網路用於遠距離居家監測系統之研究
The Study of Construction Wireless Sensor Network for Remote Monitoring System in Home Care
摘要
無線感測網路應用於居家健康照護服務上已日益蓬勃發展，本論文是以ZigBee做為無線個人區域網路的基礎，它是建構在IEEE 802.15.4的標準之上，具低功率消耗與高度網路定址能力的優點。本論文所建構之遠距離居家監測系統是由多個無線生理信號感測器、路由器與協調者所組成；本系統所量測之生理資訊也可透過此無線網路傳送至後端之資料庫儲存，藉由Web程式可以透過瀏覽器進行線上顯示與分析。在此論文中，我們只探討與驗證居家遠距監測系統中存取生理信號感測器部分的韌體法則。本研究將以新平台完成ZigBee網路層與應用層之開發，為一個樹狀三階層式之架構，此平台是由微控制器與ZigBee模組所構成的，而生理信號感測器、路由器與協調者皆在此平台上開發。透過無線生理感測器量測病人之血氧濃度、心跳、體溫、血壓與血糖傳送至路由器；而路由器負責分配每個無線感測器可擁有的傳送時間，將這些生理參數傳送至協調者。協調者藉由串列介面將所收到的封包傳送到家庭或個人閘道器。醫護人員或受測者家屬將可透過網際網路即時查看受測者的生理參數和歷史資料。 從我們的實驗結果得知，本系統同時最多可監測六個受測者的全功能生理參數，包含了血氧濃度、心跳、體溫、血壓與血糖；如果使用低資料率傳輸裝置，本系統可同時處理達44個裝置。因為本系統使用樹狀三階層式之架構，所以裝置傳送距離最遠可達36公尺。本系統可讓病人在家裡，就可以透過此系統讓醫生即時監看居家病人的健康情形並進行雙向聯繫。透過遠距離居家監測系統，使得居家的健康照護成為生活中一件經常且容易的事情。
並列摘要
The Wireless Sensor Network (WSN) is a developing area today in the health care service industry. Our study uses ZigBee a wireless standard based on IEEE 802.15.4, which is a Wireless Personal Area Network with low power consumption and high addressing capability. In our thesis, the system consists of sensor motes, a router, coordinators, and a remote database server. This physiological information is transmitted to a server where it is then stored in a database. A web program then retrieves the data for analysis and display using a web browser. Although it is a powerful system, we just discuss its firmware functions of sensor device, router, and coordinator here. The sensor device, router, and coordinator are all developed on the ZigBee sensor node, which consists of a micro-controller and a ZigBee RF module. Furthermore, the ZigBee network and application layers are built on MCU for a WSN with three-level topology. For the sensor devices, physiological signals of the (Oxygen Saturation) SpO2, heart rate, temperature, blood pressure, and blood glucose are measured from patients and then transmitted to the router. The router is responsible for scheduling a sending time for each associated device to forward data to a specific device. On the coordinator side, data is extracted from received packages and then passed to the home or personal Gateway through the series interface. At this moment, nurse or home care person can get the real-time physiological signal and historical information from the data server by the internet network. From our experimental results, we know that our system can support up to six full function physiological signal device with SpO2, heart rate, temperature, blood pressure, and blood glucose sensors, simultaneously. If we just use the devices with the low transmission rate, this system can deal with up to 44 devices simultaneously. Moreover, since our system uses the three-level topology structure, the distance between the device and gateway can be up to 36 meters away. The system has the potential to bring health care out of the hospital and into the patient’s home, replace nurses with sensor devices, and collect sensitive information. Through the system, the home care is to become one often and easy thing within a life.