Households and Community Power Consumption Data Analysis: Peer Review Reports Generation and Comparisons

• Main Authors: Po-Lin Hou, 何柏霖
• Other Authors: Chien-Cheng Chou
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/64844700148773443974

碩士 === 國立中央大學 === 土木工程學系 === 104 === In the trend of smart home, smart city or smart building, many sensors have been deployed in such environments. From the theoretical background of Wireless Sensor Network (WSN), each sensor node should transmit a measured value to its gateway node. Each gateway node can be a computer with better processing power and should aggregate the data sets received in order to transmit to a final central server. However, since sensor data sets have personal privacy problems, in an intranet environment the transmission data between sensors and gateway nodes may have lower security concerns while the transmission data between gateway nodes and the final server may have higher security concerns. In addition, a large data set may cause degradation of network performance for gateway nodes. This research presents distributed, aggregated sensor data collection and analysis for power consumption data sets. Focusing on peer reviews, the power consumption data analytics will display each average value and standard deviation. Apache Tomcat Server was utilized to build Web Server and run Java Server Pages to provide Web UI interface. MySQL database was also employed to store the power consumption data sets. Applications in the field of disaster monitoring can be expected to provide the aggregated data and statistics for each sensor through the system.