A highly scalable and autonomous spectroscopic radiation mapping system with resilient IoT detector units for dosimetry, safety and security
A highly scalable and autonomous spectroscopic radiation mapping system with resilient IoT detector units for dosimetry, safety and security
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高度可扩展的自主光谱辐射测绘系统，具有弹性物联网探测器单元，用于剂量测定、安全和保障
DOI：
10.1088/1361-6498/acab0b
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发表时间：
2023
影响因子：
1.5
通讯作者：
Russell-Pavier F
中科院分区：
文献类型：
--
作者：
Russell-Pavier F
在发电、国防、工业、研究和医学等领域利用放射性材料的技术增加了全球高活性和危险材料的库存。因此，存在着非法获得的材料被用作敌对行为一部分的更大威胁。与自然灾害或设施事故的风险同时发生的还有故意释放的可能性。在任何此类事件中，至关重要的是迅速评估释放成分和响应和补救活动的程度。因此，在事故发生期间和之后，部署一个有效、有弹性和自主的辐射监测网络至关重要。这一评估的基础是对事件前或背景辐射水平的详细了解，这方面的知识对于评估人群的剂量学暴露以及人为和自然发生/变化的电离辐射源的影响也是必不可少的。这里展示的是一个完全可操作的基于云的光谱辐射测绘平台，该平台包括与蜂窝网络兼容的物联网模块，无需修改，可在180多个国家使用。结合本地漫游车辆，对城市环境进行了连续的多通道放射学表征。此类物联网设备可部署为特定局部时间事件的单个传感器，也可集成在更长的时间段（和区域）以代表更大的静态传感器。在几个月的持续运行中，收集了超过100万个单独的位置参考伽马射线谱，并实时安全地上传到在线云数据库，并通过自定义的多步骤工作流程自动表征。随后，将1公里× 1公里城市区域的放射指纹的精细尺度局部变化近乎实时地呈现到交互式安全在线图形仪表板上，供用户进行时间、空间和光谱查询。考虑到自动“弹性”处理不断增加的输入数据量，促进了系统数据库的传播和扩展，而无需人工输入。
Technologies utilizing radiological materials across power generation, defence, industry, research and medicine have increased the global inventory of highly active and hazardous materials. Consequently, an amplified threat exists of illicitly obtained materials being used as part of hostile acts. The potential for intentional releases occurs alongside risks from natural disasters or facility accidents. In any such event, it is crucial to rapidly assess the release composition and extent of response and remediation activities. Therefore, the deployment of an effective, resilient and autonomous radiation monitoring network is pivotal both during and after an incident. Underpinning this assessment is a detailed understanding of the pre-event or background, radiation levels, the knowledge of which is also essential in assessing a population's dosimetric exposure to, and impact from anthropogenic and naturally occurring/varying sources of ionizing radiation. Presented here is a fully operational cloud-based spectroscopic radiation mapping platform comprising IoT modules compatible with cellular networks, without modification, in over 180 countries. Combined with locally roaming vehicles, a continuous multi-pass radiological characterization of an urban environment was performed. Such IoT devices are deployable as either individual sensors for specific localized temporal events or integrated over a greater time period (and area) to represent a larger static sensor. Over several months of continued operation, more than 1000 000 individual location-referenced gamma-ray spectra were collected and securely uploaded, in real-time, to an online cloud database and automatically characterized via a custom multi-step workflow. Fine-scale local variations in the radiological fingerprint of a 1 km× 1 km urban area were subsequently rendered in near-real-time to an interactive secure online graphical dashboard for temporal, spatial and spectral interrogation by the user. Considerations for the automated'elastic'handling of ever-expanding volumes of input data have been carried out, facilitating propagation and expansion of the system's database without human input.
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影响因子：
2.3
作者：
Tsuda, S.;Yoshida, T.;Saito, K.
通讯作者：
Saito, K.
用于辐射监测的地理标记物联网 (iot) 设备
DOI：
10.1109/icacci.2017.8125878
发表时间：
2017
期刊：
2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
影响因子：
--
作者：
Manigandan Muniraj;Abdul Rehman Qureshi;D. Vijayakumar;A. Viswanathan;N. Bharathi
通讯作者：
N. Bharathi
影响因子：
3.6
作者：
GETIS, A;ORD, JK
通讯作者：
ORD, JK
用于自动识别光子光谱中光峰的开源迭代 Python 模块
影响因子：
--
作者：
Fearn S
通讯作者：
Fearn S
影响因子：
1.5
作者：
Brown, Azby;Franken, Pieter;Moross, Joe
通讯作者：
Moross, Joe