{"title":"远程占空比数据采集与分析的开发与实现","authors":"Sathish Kumar P, Kumar P, Dayalan P","doi":"10.37285/ajmt.1.2.5","DOIUrl":null,"url":null,"abstract":"In the competitive automotive industry, launch of a new vehicle has become a norm to stay ahead, also the vehicle manufacturers are competing in terms of increased warranty on the new launch. Hence it is imperative for rigorous validation of new vehicle in very short period and requires to map customer usage pattern in least possible time. This work is based on an extension of internet of things (IOT), which provides a tool of capturing vehicle duty cycle by using combination of analog and digital sensors with appropriate ADC. The system is enabled with algorithm/ coded to log result, whenever measured physical parameter goes above/below predetermined level. The work involves implementation of an auto start and auto shutdown of the system based on vehicle ignition. Thus, this paper presents a system that is capable of continuous, real time recording and edge computing (auto post processing) physical quantity and ensures complete elimination of human interface, thereby enabling Remote Data Acquisition, Analysis and Reporting system (Proposed system). The proposed system is fit and forget and cost-effective solution, it can be fitted in any number of vehicles to acquire data for large number of kilometers to map system level usage pattern. Against the conventional method with limited kilometers of data to map customer pattern. The present work is an implementation of Remote Data Acquisition, Analysis and Reporting system in measurement of required vehicle parameters of temperature and humidity in field working conditions.","PeriodicalId":294802,"journal":{"name":"ARAI Journal of Mobility Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Implementation of Remote Duty Cycle Data Acquisition and Analysis\",\"authors\":\"Sathish Kumar P, Kumar P, Dayalan P\",\"doi\":\"10.37285/ajmt.1.2.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the competitive automotive industry, launch of a new vehicle has become a norm to stay ahead, also the vehicle manufacturers are competing in terms of increased warranty on the new launch. Hence it is imperative for rigorous validation of new vehicle in very short period and requires to map customer usage pattern in least possible time. This work is based on an extension of internet of things (IOT), which provides a tool of capturing vehicle duty cycle by using combination of analog and digital sensors with appropriate ADC. The system is enabled with algorithm/ coded to log result, whenever measured physical parameter goes above/below predetermined level. The work involves implementation of an auto start and auto shutdown of the system based on vehicle ignition. Thus, this paper presents a system that is capable of continuous, real time recording and edge computing (auto post processing) physical quantity and ensures complete elimination of human interface, thereby enabling Remote Data Acquisition, Analysis and Reporting system (Proposed system). The proposed system is fit and forget and cost-effective solution, it can be fitted in any number of vehicles to acquire data for large number of kilometers to map system level usage pattern. Against the conventional method with limited kilometers of data to map customer pattern. The present work is an implementation of Remote Data Acquisition, Analysis and Reporting system in measurement of required vehicle parameters of temperature and humidity in field working conditions.\",\"PeriodicalId\":294802,\"journal\":{\"name\":\"ARAI Journal of Mobility Technology\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARAI Journal of Mobility Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37285/ajmt.1.2.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARAI Journal of Mobility Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37285/ajmt.1.2.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and Implementation of Remote Duty Cycle Data Acquisition and Analysis
In the competitive automotive industry, launch of a new vehicle has become a norm to stay ahead, also the vehicle manufacturers are competing in terms of increased warranty on the new launch. Hence it is imperative for rigorous validation of new vehicle in very short period and requires to map customer usage pattern in least possible time. This work is based on an extension of internet of things (IOT), which provides a tool of capturing vehicle duty cycle by using combination of analog and digital sensors with appropriate ADC. The system is enabled with algorithm/ coded to log result, whenever measured physical parameter goes above/below predetermined level. The work involves implementation of an auto start and auto shutdown of the system based on vehicle ignition. Thus, this paper presents a system that is capable of continuous, real time recording and edge computing (auto post processing) physical quantity and ensures complete elimination of human interface, thereby enabling Remote Data Acquisition, Analysis and Reporting system (Proposed system). The proposed system is fit and forget and cost-effective solution, it can be fitted in any number of vehicles to acquire data for large number of kilometers to map system level usage pattern. Against the conventional method with limited kilometers of data to map customer pattern. The present work is an implementation of Remote Data Acquisition, Analysis and Reporting system in measurement of required vehicle parameters of temperature and humidity in field working conditions.