Suppr超能文献

迈向数字传感器与工业物联网的智能可追溯性

Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things.

作者信息

Eichstädt Sascha, Gruber Maximilian, Vedurmudi Anupam Prasad, Seeger Benedikt, Bruns Thomas, Kok Gertjan

机构信息

Presidential Staff, Physikalisch-Technische Bundesanstalt, 10587 Berlin, Germany.

Acoustics and Dynamics, Physikalisch-Technische Bundesanstalt, 38116 Braunschweig, Germany.

出版信息

Sensors (Basel). 2021 Mar 12;21(6):2019. doi: 10.3390/s21062019.

Abstract

The Internet of Things (IoT) is characterized by a large number of interconnected devices or assets. Measurement instruments in the IoT are typically digital in the sense that their indications are available only as digital output. Moreover, a growing number of IoT sensors contain a built-in pre-processing system, e.g., for compensating unwanted effects. This paper considers the application of metrological principles to such so-called "smart sensors" in the IoT. It addresses the calibration of digital sensors, mathematical and semantic approaches, the communication of data quality and the meaning of traceability for the IoT in general.

摘要

物联网(IoT)的特点是有大量相互连接的设备或资产。物联网中的测量仪器通常是数字式的,因为其指示仅以数字输出形式提供。此外,越来越多的物联网传感器包含内置的预处理系统,例如用于补偿有害影响。本文考虑将计量学原理应用于物联网中此类所谓的“智能传感器”。它讨论了数字传感器的校准、数学和语义方法、数据质量的通信以及物联网中可追溯性的一般意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d809/7998976/03df71f9e3b3/sensors-21-02019-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验