Application of big data collection based on self-powered technology in intelligent transportation system

Intelligent transportation system is an important part of smart city. The wireless sensor network (WSN) system can provide real-time and reliable big data for the intelligent transportation system, but the power supply of the wireless sensor node is a difficult point that restricts its wide application. This study will use the piezoceramic to converts vibration energy in the surroundings into voltage output. The power management module can meet the energy requirements of MEMS devices such as wireless sensor nodes, wireless monitoring modules, accelerometers and so on. Using piezoceramic as energy supply, the total mass, speed and wheelbase of vehicles can be potentially measured through systematic layout, which is to achieve self-powered demand. The acceleration and temperature sensors can be used to record acceleration information and surface temperature data of the vehicle respectively. A wireless sensor node is established in unit of a wireless transmission module, and a wireless sensor network is further formed. The data obtained by the wireless sensor network is processed in the server to obtain traffic information such as traffic volume, vehicle type and overspeed in different sections in real time, which provides powerful and accurate data support for the planning and decision-making of the intelligent transportation system.