Research On Self-powered Sampling Model And Technology Of Heart Rate Detection

Environmental energy harvesting technology collects energy from the environment.This energy is rich and extensive.This energy can power low-power electronic devices.When the Internet of Things(IoT)sensor network only uses environmental energy harvesting technology for power supply,the sensor network may not be able to work normally due to the small and unstable environmental energy collected.The sampling system is an important part of the sensor network of the Internet of Things.Both sensor data collection and data processing involves sampling.When the sampling system is powered by environmental energy harvesting technology,it will not work continuously.To solve this problem,the energy collected from the environment needs to provide at least the energy required for a single sampling,processing,and storage of the sampling system.In this way,even if the energy cannot support the sampling system for multiple consecutive samplings due to the limitation of environmental energy,the sampling system can also work in a discontinuous manner by using the self-powered mode.Besides,selfpowered technology can also overcome the environmental problems caused by battery replacement when current heart rate detection devices use battery power.This article aims at the problem that when the Internet of things sensor sampling does not use batteries and only uses environmental energy harvesting technology for energy supply,it cannot continue to work normally.Using environmental energy harvesting technology,combined with the sampling points are discrete in time.Taking heart rate detection as an example,The self-powered sampling model and technology for heart rate detection are proposed so that the sampling equipment can use discrete energy to complete the sampling process.At the same time,for the system of self-energy sampling model of heart rate detection,this paper presents the energy model,so that the self-energy sampling system of heart rate detection can complete self-energy sampling under the constraint of the energy model.Finally,this paper designs the heart rate detection self-powered sampling system platform,and the feasibility of the heart rate detection self-powered sampling model and technology is verified theoretically and experimentally.The main research contents and conclusions of this article can be summarized as follows:(1)After thorough research in the first two chapters,the first two chapters introduce the research background of this paper and the current research situation of environmental energy harvesting technology at home and abroad,sensor sampling and heart rate detection in the Internet of Things,and self-powered technology based on environmental energy harvesting.Provides a theoretical basis for the self-energy sampling model of heart rate detection proposed in this paper;(2)In the third chapter,taking sampling as an example,the self-energy sampling model for heart rate detection is proposed,how the self-energy sampling system for heart rate detection is designed,and the energy requirements during operation of the system are given;(3)Chapter 4 designs the heart rate detection self-energy sampling system platform and verifies the feasibility of the heart rate detection self-energy sampling model from both simulation and experiment.