摘要 以往環境監控系統的建置,大部分的資訊系統都是事先規劃站點與每一個站點的感測裝置數量與類別,方才開發、建置資訊系統。但是環境監控系統在運行後,我們發現系統變更、升級都需要大量的時間與成本,不但耗時且不符合經濟效益。 由於物聯網興起( Internet of Thing: IoT),感測器技術的進步、網際網路發展與雲端運算極大數據技術興起,分散式架構改變了感測物件與系統之建的架構,物聯網的技術為大量與多類型的感測物件之不確定性提供了許多解決方案,所以本研究將運用物聯網的架構,將感測器物件化,並建立標準的通訊標準界面連接監控雲端平台,透過物聯網的架構將感測物件與平台建立動態連結技術,建立更具彈性的環境監控系統。 在物聯網架構的環境監控系統下,所有的感測物件可以進行動態調節,監控站亦可動態顯示多類別與不同數量的感測資訊,本研究並結合政府中央氣象局開放資料,即時將接近五百個氣象監控站資料整合到雲端平台,並整合圖資技術,讓本環境監控系統可以用地圖顯示方式顯示所有監控站。 本研究將結合上述理論與實務技術,並且實作一個系統原型系統( Prototyping ),來驗證其技術可行性,未來將透過分散式控制來導入控制性感測物件,進而透過雲端來開關電器如空調來調節溫度,讓整個系統架構更為完善與齊備。
Abstract In the past for the establishment of environmental monitoring systems, most of the information systems were planned in advance for the numbers and types of sensing devices of each site before the development. However, after the environmental moni-toring system is deployed, we found that system changes and upgrades require a lot of time and cost, which is time-consuming and non-economical. Due to the rise of the Internet of Thing ( IoT ), the advancement of sensor tech-nology, the development of Internet, and the big data issues in clouding computing. Distributed architecture has changed the architecture of sensing objects and infor-mation systems. The technology of Internet of Things provides many solutions for the uncertainty of a large number and multiple types of sensing objects. This research will use the framework of Internet of Things to objectify the sensor, and to establish the standard communication and the standard interface to connect to the monitoring clouding platform. Based on the framework of Internet of Things, a dynamic connec-tion technology will be established between the sensing object and the platform to construct a more flexible Environmental monitoring system. Under the environment monitoring system based on Internet of Things, all sensing objects can be dynamically and automatically adjusted, and the monitoring station can also dynamically display multiple types and different amounts of sensing information. In this research , combined with the open data of the Central Meteorological Bureau of the government, the data of nearly 500 meteorological monitoring stations are inte-grated into the clouding platform on-line, and the map information technology is inte-grated, so that the environmental monitoring system can display all monitoring stations with a geographic display style. This research will combine the above-mentioned theory and implement the envi-ronment monitor system as a prototype system ( Prototyping ) to verify its technical usability. In the future, distributed control will be used to import and control sensing objects, and then through the clouding platform to switch electrical appliances such as air conditioners to adjust the temperature, making the entire system architecture more complete.