Research And Design Of Autonomous Energy Supply Sensing Microsystem

As an integrated system integrating sensing,processing and wireless communication functions,wireless sensor node plays a very wide role in environmental monitoring,industrial and agricultural production,medical monitoring and other aspects.However,the battery used by the sensor node has a serious impact on the volume and service life of the sensor node due to its capacity and capacity loss.In order to solve these problems,this paper has carried out the following research work.In order to reduce the power consumption of the system and relieve the power pressure of the lithium-ion battery,the system in this paper adopts a self-awakening method to work.Therefore,this paper designs a low-frequency vibration sensor based on piezoelectric principles and multi-modal coupling technology,which can work under the action of low frequency vibration signal.The feasibility of the structure of the sensor is verified by the simulation and experiment test of the sensor.In terms of energy storage,the solar panel is used to power the system to solve the problem of battery power shortage.A lithium-ion battery and a super-capacitor are used as an energy storage device to relieve battery output power pressure.In order to solve the capacity loss problem of the lithium-ion battery,this paper analyzes each module of the system based on the power and establishes a mathematical model.At the same time,a fully adaptive energy management algorithm is proposed.In order to make the fully adaptive energy management algorithm can achieve good results,particle swarm optimization algorithm is used in this paper to optimize the parameters of the algorithm with the minimum capacity loss of lithium ion battery as the target.The feasibility of the fully adaptive energy management algorithm.is verified through simulation analysis.Finally,this paper designs the software and hardware of the perception system according to the energy management algorithm,verifies the functions of each part of the perception system through experimental tests,and realizes the overall design of the perception system through 3D printing technology.