基于QCM传感器阵列的电子鼻监测android平台的开发

Nilava Debabhuti, A. Sengupta, Rishav Sen, Atig Ghosh, Sayak Banerjee, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
{"title":"基于QCM传感器阵列的电子鼻监测android平台的开发","authors":"Nilava Debabhuti, A. Sengupta, Rishav Sen, Atig Ghosh, Sayak Banerjee, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya","doi":"10.1109/ASPCON49795.2020.9276693","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to develop a microcontroller-based, real-time data acquisition, and remotely operated system, also called the Remote Sensing System for a Standalone E-Nose System (RSENS). The Volatile Organic Compounds (VOC) content of a provided sample is detected using Quartz Crystal Microbalance (QCM) sensors and stored. The data obtained is analyzed in the RSENS using its GUI interface attached to it. This paper investigates remote control of the RSENS where the system operation and the data can be accessed remotely by an Android application through a common cloud server that connects both the android application and the RSENS. Moreover, the analyzed data is also visualized on the remote Android platform. The RSENS can analyze and store the data in the cloud server wherein real-time monitoring application can retrieve it from the server and perform additional plots and apply other segregation algorithms, as well as modify the generated data.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of an android platform for monitoring QCM sensor-array based Electronic Nose\",\"authors\":\"Nilava Debabhuti, A. Sengupta, Rishav Sen, Atig Ghosh, Sayak Banerjee, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya\",\"doi\":\"10.1109/ASPCON49795.2020.9276693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this paper is to develop a microcontroller-based, real-time data acquisition, and remotely operated system, also called the Remote Sensing System for a Standalone E-Nose System (RSENS). The Volatile Organic Compounds (VOC) content of a provided sample is detected using Quartz Crystal Microbalance (QCM) sensors and stored. The data obtained is analyzed in the RSENS using its GUI interface attached to it. This paper investigates remote control of the RSENS where the system operation and the data can be accessed remotely by an Android application through a common cloud server that connects both the android application and the RSENS. Moreover, the analyzed data is also visualized on the remote Android platform. The RSENS can analyze and store the data in the cloud server wherein real-time monitoring application can retrieve it from the server and perform additional plots and apply other segregation algorithms, as well as modify the generated data.\",\"PeriodicalId\":193814,\"journal\":{\"name\":\"2020 IEEE Applied Signal Processing Conference (ASPCON)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Applied Signal Processing Conference (ASPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPCON49795.2020.9276693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Applied Signal Processing Conference (ASPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPCON49795.2020.9276693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文的目的是开发一个基于微控制器的实时数据采集和远程操作系统,也称为独立电子鼻系统(RSENS)的遥感系统。使用石英晶体微天平(QCM)传感器检测所提供样品的挥发性有机化合物(VOC)含量并存储。获得的数据在RSENS中使用附带的GUI界面进行分析。本文研究了RSENS的远程控制,其中Android应用程序可以通过连接Android应用程序和RSENS的公共云服务器远程访问系统操作和数据。此外,分析数据还可以在远程Android平台上进行可视化。RSENS可以将数据分析并存储在云服务器中,实时监控应用程序可以从服务器中检索数据,并执行额外的绘图和应用其他隔离算法,以及修改生成的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an android platform for monitoring QCM sensor-array based Electronic Nose
The objective of this paper is to develop a microcontroller-based, real-time data acquisition, and remotely operated system, also called the Remote Sensing System for a Standalone E-Nose System (RSENS). The Volatile Organic Compounds (VOC) content of a provided sample is detected using Quartz Crystal Microbalance (QCM) sensors and stored. The data obtained is analyzed in the RSENS using its GUI interface attached to it. This paper investigates remote control of the RSENS where the system operation and the data can be accessed remotely by an Android application through a common cloud server that connects both the android application and the RSENS. Moreover, the analyzed data is also visualized on the remote Android platform. The RSENS can analyze and store the data in the cloud server wherein real-time monitoring application can retrieve it from the server and perform additional plots and apply other segregation algorithms, as well as modify the generated data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信