{"title":"面向信号和数据处理的智能气体传感器:综述","authors":"Yi Gu;Bin Huang;Hao Zhu","doi":"10.1109/JSEN.2024.3507195","DOIUrl":null,"url":null,"abstract":"In recent years, there has been an escalating interest in the development of rapid, portable, and highly sensitive gas sensors with exceptional recognition capabilities. This heightened focus is driven by the burgeoning need for public safety inspections, stringent food quality control, and robust environmental monitoring. Traditional gas sensors, however, have encountered limitations such as cross-sensitivity and constrained selectivity, posing significant challenges in the effective detection and analysis of multicomponent gases through a singular sensor platform. Consequently, the establishment of a sophisticated gas sensing system, employing a high-dimensional response mode through sensor arrays, becomes imperative for the precise quantification of mixed gases. This review paper provides a comprehensive analysis of advanced smart gas sensors, delving into the latest developments in sensing materials, signal processing techniques for effective dimension reduction and feature extraction, as well as a variety of innovative pattern recognition algorithms. Our exploration of these cutting-edge technologies aims to furnish an exhaustive understanding of the capabilities and future potential of smart gas sensors. Moreover, we venture into the diverse applications of these sensors, spanning from disease diagnosis to smart city implementations, underscoring their significant contributions to healthcare, environmental sustainability, and urban development. Through this detailed review, we aspire to not only elucidate the current state of smart gas sensor technology but also to spark further innovation and exploration in this dynamic field.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 2","pages":"2125-2140"},"PeriodicalIF":4.3000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart Gas Sensors Toward Signal and Data Processing: A Review\",\"authors\":\"Yi Gu;Bin Huang;Hao Zhu\",\"doi\":\"10.1109/JSEN.2024.3507195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, there has been an escalating interest in the development of rapid, portable, and highly sensitive gas sensors with exceptional recognition capabilities. This heightened focus is driven by the burgeoning need for public safety inspections, stringent food quality control, and robust environmental monitoring. Traditional gas sensors, however, have encountered limitations such as cross-sensitivity and constrained selectivity, posing significant challenges in the effective detection and analysis of multicomponent gases through a singular sensor platform. Consequently, the establishment of a sophisticated gas sensing system, employing a high-dimensional response mode through sensor arrays, becomes imperative for the precise quantification of mixed gases. This review paper provides a comprehensive analysis of advanced smart gas sensors, delving into the latest developments in sensing materials, signal processing techniques for effective dimension reduction and feature extraction, as well as a variety of innovative pattern recognition algorithms. Our exploration of these cutting-edge technologies aims to furnish an exhaustive understanding of the capabilities and future potential of smart gas sensors. 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Through this detailed review, we aspire to not only elucidate the current state of smart gas sensor technology but also to spark further innovation and exploration in this dynamic field.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 2\",\"pages\":\"2125-2140\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-12-05\",\"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/10780936/\",\"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/10780936/","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}
Smart Gas Sensors Toward Signal and Data Processing: A Review
In recent years, there has been an escalating interest in the development of rapid, portable, and highly sensitive gas sensors with exceptional recognition capabilities. This heightened focus is driven by the burgeoning need for public safety inspections, stringent food quality control, and robust environmental monitoring. Traditional gas sensors, however, have encountered limitations such as cross-sensitivity and constrained selectivity, posing significant challenges in the effective detection and analysis of multicomponent gases through a singular sensor platform. Consequently, the establishment of a sophisticated gas sensing system, employing a high-dimensional response mode through sensor arrays, becomes imperative for the precise quantification of mixed gases. This review paper provides a comprehensive analysis of advanced smart gas sensors, delving into the latest developments in sensing materials, signal processing techniques for effective dimension reduction and feature extraction, as well as a variety of innovative pattern recognition algorithms. Our exploration of these cutting-edge technologies aims to furnish an exhaustive understanding of the capabilities and future potential of smart gas sensors. Moreover, we venture into the diverse applications of these sensors, spanning from disease diagnosis to smart city implementations, underscoring their significant contributions to healthcare, environmental sustainability, and urban development. Through this detailed review, we aspire to not only elucidate the current state of smart gas sensor technology but also to spark further innovation and exploration in this dynamic field.
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