適用於結構物即時監測之無線感測網路技術資料壓縮之演算法實作

Abstract

近年來，由於M2M概念的興起，無線感測網路已成為相當重要的技術，而為了推廣此技術，我們與國科會合作，以防止因天候異常以及天然災害，所造成的大型結構物倒塌、毀壞事件目標，建立了一個無線結構物安全監測平台，並且將此平台架設在中沙大橋。在這個平台之中，包含許多的技術應用，例如：通訊協定技術，全球定位系統，數據壓縮，結構頻率分析等等。我們使用MSP430 以及 ARM Cortex M3的晶片為運算單元，並以此設計出我們的感測器節點，並設計量測電路板，使其可以根據不同種的環境或需求去做監測；並根據我們所需要的情境，在無線感測網路平台上進行演算法實作，以加強WSN的local processing能力。

Recently since more the concept of M2M gets more and more popular and prized, Wireless Sensor Network becomes a really important technology has became more important than ever. To promote this technology, we cooperate with National Science Congress on WSN platform for structure monitoring to prevent the collapse by the extreme climate change. We set up the platform on Chung-Sha bridge with a lot of technology implementation, for example, communication protocol, GPS, data compression, structure frequency analysis...etc. We use MSP430 and ARM Cortex M3 as our processing unit for our sensor node and design the circuit board to utilize them in a complete WSN system. And according to different scenario, we implement algorithm on our sensor node to optimize the local data processing performance and ability.