{"title":"利用单个多功能传感器进行全波加速度测量的自适应能量自主集成系统","authors":"Junchao Zhuo;Jinbo Liu;Jialin Liu;Weiqun Liu;Dawei Dong","doi":"10.1109/TIE.2025.3555028","DOIUrl":null,"url":null,"abstract":"Self-power sensors provide an effective solution of long-term monitoring for many applications. An obstacle in the path is the common mismatching of the harvested power and the required power since the harvester and the sensor are independently designed without cooperative consideration. This article proposes an energy-autonomous integrated system (EAIS) designed to wirelessly acquire and transmit vibration signals without the need for an external power source. The system employs a piezoelectric cantilever that both harvests energy and senses acceleration, integrating two circuit subsystems: the energy harvesting subsystem and the acceleration sensing subsystem. A self-adaptive time-division multiplexing strategy is adopted for the two subsystems so that they can work alternatively in an energy-self-sufficient way. By utilization of a smart and dedicated circuit design, the acceleration sensing subsystem is capable of acquiring full-wave acceleration signals with complicated frequency components, which is considered as a great advancement in self-powered sensing studies. In particular, the entire system is fully energy-autonomous with the capability of self-starting, self-powering and self-sensing.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 10","pages":"10881-10890"},"PeriodicalIF":7.2000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-Adaptive Energy-Autonomous Integrated System for Full-Wave Acceleration Measurement with Single Multifunction Transducer\",\"authors\":\"Junchao Zhuo;Jinbo Liu;Jialin Liu;Weiqun Liu;Dawei Dong\",\"doi\":\"10.1109/TIE.2025.3555028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Self-power sensors provide an effective solution of long-term monitoring for many applications. An obstacle in the path is the common mismatching of the harvested power and the required power since the harvester and the sensor are independently designed without cooperative consideration. This article proposes an energy-autonomous integrated system (EAIS) designed to wirelessly acquire and transmit vibration signals without the need for an external power source. The system employs a piezoelectric cantilever that both harvests energy and senses acceleration, integrating two circuit subsystems: the energy harvesting subsystem and the acceleration sensing subsystem. A self-adaptive time-division multiplexing strategy is adopted for the two subsystems so that they can work alternatively in an energy-self-sufficient way. By utilization of a smart and dedicated circuit design, the acceleration sensing subsystem is capable of acquiring full-wave acceleration signals with complicated frequency components, which is considered as a great advancement in self-powered sensing studies. In particular, the entire system is fully energy-autonomous with the capability of self-starting, self-powering and self-sensing.\",\"PeriodicalId\":13402,\"journal\":{\"name\":\"IEEE Transactions on Industrial Electronics\",\"volume\":\"72 10\",\"pages\":\"10881-10890\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Industrial Electronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10948498/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10948498/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Self-Adaptive Energy-Autonomous Integrated System for Full-Wave Acceleration Measurement with Single Multifunction Transducer
Self-power sensors provide an effective solution of long-term monitoring for many applications. An obstacle in the path is the common mismatching of the harvested power and the required power since the harvester and the sensor are independently designed without cooperative consideration. This article proposes an energy-autonomous integrated system (EAIS) designed to wirelessly acquire and transmit vibration signals without the need for an external power source. The system employs a piezoelectric cantilever that both harvests energy and senses acceleration, integrating two circuit subsystems: the energy harvesting subsystem and the acceleration sensing subsystem. A self-adaptive time-division multiplexing strategy is adopted for the two subsystems so that they can work alternatively in an energy-self-sufficient way. By utilization of a smart and dedicated circuit design, the acceleration sensing subsystem is capable of acquiring full-wave acceleration signals with complicated frequency components, which is considered as a great advancement in self-powered sensing studies. In particular, the entire system is fully energy-autonomous with the capability of self-starting, self-powering and self-sensing.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.