K. Kalovrektis, Apostolos Xenakis, Efthymios Mantalovas, G. Stamoulis, Sarantos Psycharis, N. Evelpidou
{"title":"基于仿生的地质现象分析力估计传感器系统试验台","authors":"K. Kalovrektis, Apostolos Xenakis, Efthymios Mantalovas, G. Stamoulis, Sarantos Psycharis, N. Evelpidou","doi":"10.1109/SEEDA-CECNSM57760.2022.9932999","DOIUrl":null,"url":null,"abstract":"Our work focuses, on designing and proposing a force estimation sensor system for Geological phenomena data collection and analysis, based on Biomimetic. In this sense, biomimetic term, is used, as proposed by Schmitt in its classical sense, with regatd to the study of nature’s methods, processes and mechanisms. In particular, strain gauge sensors with force sensing resistor (FSR), formate a clustering to estimate ground stress and tension levels, as stated by natures’ mechanisms in earthworms to detect electrical signals. Our sensor system is proposed as a testbed to estimate geological landslide phenomena. Our experimental results from the data collection system is conducted in LabVIEW.","PeriodicalId":68279,"journal":{"name":"计算机工程与设计","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Force Estimation Sensor System TestBed for Geological Phenomena Analysis based on Biomimetic\",\"authors\":\"K. Kalovrektis, Apostolos Xenakis, Efthymios Mantalovas, G. Stamoulis, Sarantos Psycharis, N. Evelpidou\",\"doi\":\"10.1109/SEEDA-CECNSM57760.2022.9932999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our work focuses, on designing and proposing a force estimation sensor system for Geological phenomena data collection and analysis, based on Biomimetic. In this sense, biomimetic term, is used, as proposed by Schmitt in its classical sense, with regatd to the study of nature’s methods, processes and mechanisms. In particular, strain gauge sensors with force sensing resistor (FSR), formate a clustering to estimate ground stress and tension levels, as stated by natures’ mechanisms in earthworms to detect electrical signals. Our sensor system is proposed as a testbed to estimate geological landslide phenomena. Our experimental results from the data collection system is conducted in LabVIEW.\",\"PeriodicalId\":68279,\"journal\":{\"name\":\"计算机工程与设计\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"计算机工程与设计\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"计算机工程与设计","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/SEEDA-CECNSM57760.2022.9932999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Force Estimation Sensor System TestBed for Geological Phenomena Analysis based on Biomimetic
Our work focuses, on designing and proposing a force estimation sensor system for Geological phenomena data collection and analysis, based on Biomimetic. In this sense, biomimetic term, is used, as proposed by Schmitt in its classical sense, with regatd to the study of nature’s methods, processes and mechanisms. In particular, strain gauge sensors with force sensing resistor (FSR), formate a clustering to estimate ground stress and tension levels, as stated by natures’ mechanisms in earthworms to detect electrical signals. Our sensor system is proposed as a testbed to estimate geological landslide phenomena. Our experimental results from the data collection system is conducted in LabVIEW.