以Zigbee建置校園環境監控系統之設計與實踐

Design and Implementation of Campus Environment Monitoring System Based on Zigbee

楊子玄(Yang, Tzu Husan)

指導教授 ： 陳榮順

國立清華大學/工學院/動力機械工程學系/碩士(2015年)

摘要

本研究致力於校園環境監控系統之開發，目的在於透過無線感測網路，利用所建置的溫度、濕度、煙霧、火焰、人體紅外線等感測器有效即時監控校園各種危險的環境狀況，當環境發生危險時系統能發出警報，增加校園的安全性。
本研究在電腦端建立一個環境監控平台，能夠了解環境的資訊。在本研究中使用德州儀器公司開發的CC2530無線射頻晶片模組做為無線感測網路之硬體，並在模組加上感測器，將感測節點放置在校園環境中偵測環境資訊。以TI公司開發的Z-stack協議下建立一個Zigbee無線感測網路，利用感測器感測資料，並以無線傳輸方式將蒐集到的環境資料傳回到監控平台觀測。本研究使用模糊邏輯處理溫度、煙霧和火焰的感測環境資訊，並藉以判斷火災發生的概率，將三種數據同時進行分析，可增加是否發生火災判斷的正確性，減少誤判的可能性。
本研究在網頁端人機介面建立一個資料庫及設計手機App提供使用者查詢環境災害資訊。

關鍵字

校園無線感測網路災害感測 ； Zigbee ； 環境監控

並列摘要

This paper develops environment monitoring system of campus. The goal is monitor real-time dangerous condition of environment on campus effectively by wireless sensor network with temperature, humidity, smoke, body infrared and flame sensor. When there is a dangerous condition occurs, the system alert, and safety of campus increase.
This paper builds environment monitoring platform on computer, which can know the environment information. This paper use the module of CC2530 to be the hardware of wireless sensor network. The module with the sensor put on the campus could monitor the environment information. Build a wireless sensor network by Zigbee based on Z-stack protocol, and the data is sensed by sensor from environment could send by wireless. The data could send back to the platform to observe. This paper use fuzzy logic to determine the probability if fire occurs by using temperature, humidity and smoke data. Use three data to analyze can increase accuracy.
This paper build a database to store the data of environment and build website and APP to show data.

並列關鍵字

The Disaster Sensing of Campus Wireless Sensor Network ； Zigbee ； Environment monitoring

參考文獻

[2] J. Kahn, R.H. Katz, and K. Pister, "Emerging Challenges: Mobile Networking for ‘Smart Dust,’ " J. Comm. Networks, vol.2, pp. 188-196, 2000.

[4] Y. Lim, S. Lim, J. Choi, S. Cho, C. Kim, and Y. Lee. "A Fire Detection and Rescue Support Framework with Wireless Sensor Networks." In Convergence Information Technology, Gyeongju, Korea, pp. 135 –138, Nov.21-23, 2007.

[7] B. Qela and H.T Mouftah, "Observe, Learn, and Adapt (OLA)—An Algorithm for Energy Management in Smart Homes Using Wireless Sensors and Artificial Intelligence," Smart Grid, IEEE Transactions on , vol.3, pp.2262-2272, 2012.

[9] P. Bolourchi and S. Uysal, "Forest Fire Detection in Wireless Sensor Network Using Fuzzy Logic," Computational Intelligence, Communication Systems and Networks (CICSyN), Madrid, Spain, pp.83-87, June 5-7, 2013.

[10] 魏杜光， “以ARM單晶片平台設計與實驗之自我調適感測網路監控系統”，國立清華大學動力機械工程學系，碩士班論文，2014.