Zhongtao Qiao, Fengqi Gao, Qichang Li, Guanglong Wang
{"title":"Design of data acquisition and transmission system based on MEMS sensors","authors":"Zhongtao Qiao, Fengqi Gao, Qichang Li, Guanglong Wang","doi":"10.1109/ICINFA.2013.6720425","DOIUrl":null,"url":null,"abstract":"For equipment's PHM (Prognostics and Health Management), it is important to acquire the environment information of temperature, humidity, pressure, vibration, impact acceleration and magnetic field intensity, etc. These relevant parameters which are used to predict failure progression will accumulate for years of periods. This paper designed a low power consumption system with characteristics of long work time. The system consists of the embedded ARM microprocessor, microelectromechanical systems (MEMS) sensors, FLASH and interface circuits. Furthermore, for low power consumption purpose, a dynamic power management strategy is designed carefully. So when equipment's storage and transportation status is changed or time cycle expires, the data sampled by sensors can be stored on board memory temporarily and can be transmitted to host computer by wireless communication module afterward. The system with another characteristic of small size is suitable for limited work space.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2013.6720425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For equipment's PHM (Prognostics and Health Management), it is important to acquire the environment information of temperature, humidity, pressure, vibration, impact acceleration and magnetic field intensity, etc. These relevant parameters which are used to predict failure progression will accumulate for years of periods. This paper designed a low power consumption system with characteristics of long work time. The system consists of the embedded ARM microprocessor, microelectromechanical systems (MEMS) sensors, FLASH and interface circuits. Furthermore, for low power consumption purpose, a dynamic power management strategy is designed carefully. So when equipment's storage and transportation status is changed or time cycle expires, the data sampled by sensors can be stored on board memory temporarily and can be transmitted to host computer by wireless communication module afterward. The system with another characteristic of small size is suitable for limited work space.
对于设备的PHM (Prognostics and Health Management)来说,获取设备的温度、湿度、压力、振动、冲击加速度和磁场强度等环境信息是非常重要的。这些用于预测故障进展的相关参数将累积数年。本文设计了一种具有工作时间长的低功耗系统。该系统由嵌入式ARM微处理器、微机电系统(MEMS)传感器、FLASH和接口电路组成。此外,以低功耗为目标,精心设计了动态电源管理策略。因此,当设备的储运状态发生变化或时间周期到期时,传感器采集的数据可以暂时存储在车载存储器中,之后通过无线通信模块传输给上位机。该系统的另一个特点是体积小,适用于有限的工作空间。