NFC-Enabled Batteryless AI-Integrated Sensing Network for Smart PPE System

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Harikrishnan Muraleedharan Jalajamony;Soumadeep De;Renny Edwin Fernandez
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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.
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
在本手稿中,我们探讨了个人防护设备(PPE)的进步,纳米技术和智能系统的快速发展凸显了这一点。我们的重点是针对高危职业环境开发一种集成人工智能的无电池个人防护设备系统。该系统是智能个人防护设备的一次飞跃,能够实时感测六个感测参数,并采用近场通信(NFC)技术改进数据交换和系统集成。我们的核心技术是使用非侵入式传感和通信技术,旨在加强工作场所的安全,同时不影响佩戴者的操作能力。在无电池智能个人防护设备上集成多个传感器面临着电源要求的挑战,这促使我们开发了一种多天线系统,可以监测个人防护设备不同位置的气体参数。我们的目标是为未来开发既能抵御极端环境又能提供先进功能的智能个人防护设备奠定基础。通过将 NFC 智能个人防护设备系统集成到全脸头盔中,彻底验证了该系统的性能,展示了其实际应用和先进的传感能力。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
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
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