Nilava Debabhuti, A. Sengupta, Rishav Sen, Atig Ghosh, Sayak Banerjee, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
{"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}
引用次数: 0
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.