Implementation of Wireless Sensor Network for Environment Sensing System Based on IOT

• Main Authors: Chia-Cheng Hsu, 徐嘉正
• Other Authors: Wen-Tsai Sung
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/47904022973139687579

碩士 === 國立勤益科技大學 === 電機工程系 === 101 === This thesis presents an IOT Smart Environment monitoring system, which includes the following monitoring systems: Bridge inclination monitoring system, Home electricity monitoring system, Temperature and humidity monitoring system, and a Remote aquaculture monitoring system. The system uses PSoC and 8051 technologies to establish a development platform, and physical signals received by the sensor are transmitted via ZigBee short-range wireless data transmission. The received information is then transferred via TCP / IP, GPRS / SMS, WIFI, 3G and so on wireless / wired transmission technology on to the cloud system’s database to set up a file, and the data from sensors is then analyzed and evaluated. End computer uses Visual Basic 2010 software to design the interface functions and control sensing module, and uses Protel DXP to automatically design and produce ZigBee circuit to receive, send, control overload and supply power, making a more effective monitoring and observation of regional environment, thus achieving an intelligent automated network that automates information exchange and process between things to things and persons to things. In this system, another research study focuses on the importance of continuous and stable power supply for the aquaculture; using electricity and battery to provide power to sensors in aquaculture systems, the two sources can interchange and the battery can intervene as the power source when accidents occur. In order to avoid the phenomenon of self-discharging batteries leading to reduction in electricity, solar charging is used. This thesis uses the ZigBee transmission to effectively reduce transmission costs and power consumption. The design of the monitoring interface is simple, fast and convenient, allowing users to monitor the regional environment more effectively, and can be applied in a variety of environments.