Smart Sensor Data Acquisition in trains

被引:0
作者
Pereira, Antonio [1 ]
Pimentao, Joao Paulo [1 ]
Sousa, Pedro [1 ]
Onofre, Sergio [2 ]
机构
[1] UNL, FCT, Uninova Elect Engn Dept, P-2829516 Caparica, Portugal
[2] Holos SA, Caparica, Portugal
来源
IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2017年
关键词
noise; data acquisition; Smart Sensor; Sensor Networks; distributed systems; Smart Systems; digital processing;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Collecting information about faults, state of surrounding environment and equipment is crucial in systems that could jeopardize human lives, such as trains. Normally, data are obtained via analog sensors which do not have any interface to allow their integration with software systems. Additionally, acquisition and transport of sensor data could suffer interferences in the train's environment due to electromagnetic noise from various sources. Taking into account these problems, this paper presents an architecture for data acquisition of analog data from a train's environment, drawn to perform data acquisition with various noise sources. Data are processed by Smart Sensors that guarantee not only the noise filtering but also a safe collection of data. Data collection requires a communication protocol that allows data transport under the influence of noise. This paper includes state of the art analysis in data communication in physically demanding environments in order to ensure an acceptable performance, considering criteria like mobility, upfront costs and flexibility.
引用
收藏
页码:5598 / 5603
页数:6
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