Suppr超能文献

一种易于集成的工业系统,用于伽马光谱分析和石材及建筑材料的可追溯性。

An Easily Integrable Industrial System for Gamma Spectroscopic Analysis and Traceability of Stones and Building Materials.

机构信息

Department of Information Engineering, University of Pisa, via G. Caruso 16, 56122 Pisa, Italy.

CAEN S.p.A., via della Vetraia 11, 55049 Lucca, Italy.

出版信息

Sensors (Basel). 2021 Jan 7;21(2):352. doi: 10.3390/s21020352.

Abstract

In the building material and stones market, lots of restrictions are coming in different world zones. In Europe, a recent regulatory set up the maximum level of radiological emissions for materials intended for use in public and private building structures. For this reason, companies need to have a very efficient radiological measurements system in their production chain, in order to respect all the rules and to be competitive in the world market. This article describes CORSAIR, a Cloud-Oriented Measurement System for Radiological Investigation and Traceability of Stones. Our cyber-physical system consists of sensing nodes network connected to a data collection gateway through LoRaWAN protocol, and interfaces with a centralized cloud application. CORSAIR introduces a fast, repeatable, real-time and non-destructive method to measure radiological emissions and other parameters of each single building material item, uniquely identified by an applied RFID tag. The validity of this system is confirmed by in-situ measurement campaign compared with high-precision laboratory analysis. The results demonstrate the accuracy of the CORSAIR sensor and the possibility to easily integrate it in the company production chain without any change.

摘要

在建筑材料和石材市场,不同的世界区域都有很多限制。在欧洲,最近的一项法规为拟用于公共和私人建筑结构的材料设定了最大放射性排放水平。出于这个原因,公司需要在其生产链中拥有一个非常高效的放射性测量系统,以便遵守所有规则,并在世界市场上具有竞争力。本文介绍了 CORSAIR,这是一种面向云的辐射调查和石材可追溯性测量系统。我们的网络物理系统由通过 LoRaWAN 协议连接到数据采集网关的传感节点网络组成,并与集中式云应用程序接口。CORSAIR 引入了一种快速、可重复、实时和非破坏性的方法来测量放射性排放和每个单独建筑材料物品的其他参数,这些物品通过应用的 RFID 标签进行唯一识别。通过与高精度实验室分析的现场测量活动进行比较,验证了该系统的有效性。结果表明了 CORSAIR 传感器的准确性,以及可以在不进行任何更改的情况下轻松将其集成到公司的生产链中的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/442f/7825613/310edd517040/sensors-21-00352-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验