{"title":"用于智能个人防护设备系统的 NFC 无电池人工智能集成传感网络","authors":"Harikrishnan Muraleedharan Jalajamony;Soumadeep De;Renny Edwin Fernandez","doi":"10.1109/JSEN.2024.3419442","DOIUrl":null,"url":null,"abstract":"In this manuscript, we explore the advancement in personal protective equipment (PPE), underscored by the rapid development in nanotechnology and smart systems. Our focus is on the development of an AI-integrated, batteryless, PPE system, tailored for high-risk occupational environments. This system represents a leap in smart PPE, capable of real-time sensing of six sensing parameters, incorporating near-field communication (NFC) technology for improved data exchange and system integration. Central to our approach is the use of nonintrusive sensing and communication technology, aimed at bolstering workplace safety without interfering with the operational capabilities of the wearer. The integration of multiple sensors on a batteryless smart PPE is challenged by power requirements, encouraging us to develop a multiantenna system that can monitor gas parameters at various locations of the PPE. We aim to provide a foundation for the future development of smart PPE that can withstand extreme environments while offering advanced functionality. The performance of the NFC-enabled smart PPE system is thoroughly validated through its integration into a full-face helmet, demonstrating its practical application and advanced sensing capabilities.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NFC-Enabled Batteryless AI-Integrated Sensing Network for Smart PPE System\",\"authors\":\"Harikrishnan Muraleedharan Jalajamony;Soumadeep De;Renny Edwin Fernandez\",\"doi\":\"10.1109/JSEN.2024.3419442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this manuscript, we explore the advancement in personal protective equipment (PPE), underscored by the rapid development in nanotechnology and smart systems. Our focus is on the development of an AI-integrated, batteryless, PPE system, tailored for high-risk occupational environments. This system represents a leap in smart PPE, capable of real-time sensing of six sensing parameters, incorporating near-field communication (NFC) technology for improved data exchange and system integration. Central to our approach is the use of nonintrusive sensing and communication technology, aimed at bolstering workplace safety without interfering with the operational capabilities of the wearer. The integration of multiple sensors on a batteryless smart PPE is challenged by power requirements, encouraging us to develop a multiantenna system that can monitor gas parameters at various locations of the PPE. We aim to provide a foundation for the future development of smart PPE that can withstand extreme environments while offering advanced functionality. The performance of the NFC-enabled smart PPE system is thoroughly validated through its integration into a full-face helmet, demonstrating its practical application and advanced sensing capabilities.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10591620/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10591620/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
NFC-Enabled Batteryless AI-Integrated Sensing Network for Smart PPE System
In this manuscript, we explore the advancement in personal protective equipment (PPE), underscored by the rapid development in nanotechnology and smart systems. Our focus is on the development of an AI-integrated, batteryless, PPE system, tailored for high-risk occupational environments. This system represents a leap in smart PPE, capable of real-time sensing of six sensing parameters, incorporating near-field communication (NFC) technology for improved data exchange and system integration. Central to our approach is the use of nonintrusive sensing and communication technology, aimed at bolstering workplace safety without interfering with the operational capabilities of the wearer. The integration of multiple sensors on a batteryless smart PPE is challenged by power requirements, encouraging us to develop a multiantenna system that can monitor gas parameters at various locations of the PPE. We aim to provide a foundation for the future development of smart PPE that can withstand extreme environments while offering advanced functionality. The performance of the NFC-enabled smart PPE system is thoroughly validated through its integration into a full-face helmet, demonstrating its practical application and advanced sensing capabilities.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice