ADiT-Lab, Instituto Politécnico de Viana do Castelo, Rua da Escola Industrial e Comercial de Nun'Alvares, 4900-347 Viana do Castelo, Portugal.
IT-Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
Int J Environ Res Public Health. 2021 Jul 26;18(15):7907. doi: 10.3390/ijerph18157907.
The explosive data growth in the current information age requires consistent new methodologies harmonized with the new IoT era for data analysis in a space-time context. Moreover, intuitive data visualization is a central feature in exploring, interpreting, and extracting specific insights for subsequent numerical data representation. This integrated process is normally based on the definition of relevant metrics and specific performance indicators, both computed upon continuous real-time data, considering the specificities of a particular application case for data validation. This article presents an IoT-oriented evaluation tool for Radon Risk Management (RRM), based on the design of a simple and intuitive Indoor Radon Risk Exposure Indicator (IRREI), specifically tailored to be used as a decision-making aid tool for building owners, building designers, and buildings managers, or simply as an alert flag for the problem awareness of ordinary citizens. The proposed methodology was designed for graphic representation aligned with the requirements of the current IoT age, i.e., the methodology is robust enough for continuous data collection with specific Spatio-temporal attributes and, therefore, a set of adequate Radon risk-related metrics can be extracted and proposed. Metrics are summarized considering the application case, taken as a case study for data validation, by including relevant variables to frame the study, such as the regulatory International Commission on Radiological Protection (ICRP) dosimetric limits, building occupancy (spatial dimension), and occupants' exposure periods (temporal dimension). This work has the following main contributions: (1) providing a historical perspective regarding RRM indicator evolution along time; (2) outlining both the formulation and the validation of the proposed IRREI indicator; (3) implementing an IoT-oriented methodology for an RRM indicator; and (4) a discussion on Radon risk public perception, undertaken based on the results obtained after assessment of the IRREI indicator by applying a screening questionnaire with a total of 873 valid answers.
当前信息时代的数据呈爆炸式增长，这就需要不断提出新的方法，与新的物联网时代相协调，以便对时空背景下的数据进行分析。此外，直观的数据可视化是探索、解释和提取特定见解以进行后续数值数据表示的核心特征。这个集成过程通常基于相关指标和特定性能指标的定义，这些指标都是基于连续的实时数据计算得出的，并考虑了特定应用案例的数据验证的特殊性。本文提出了一种面向物联网的氡风险管理 (RRM) 评估工具，该工具基于简单直观的室内氡风险暴露指标 (IRREI) 的设计，专门针对建筑物所有者、建筑物设计师和建筑物经理作为决策辅助工具，或者简单地作为普通市民对该问题的认识的警报标志。所提出的方法是为符合当前物联网时代的要求而设计的图形表示，即该方法足够强大，可以进行具有特定时空属性的连续数据收集，因此可以提取和提出一组适当的氡风险相关指标。在考虑作为数据验证案例研究的应用案例的情况下，对指标进行了总结，其中包括相关变量来构建研究框架，例如监管国际辐射防护委员会 (ICRP) 剂量学限制、建筑物占用（空间维度）和占用者的暴露周期（时间维度）。这项工作有以下主要贡献：(1) 提供了 RRM 指标随时间演变的历史视角；(2) 概述了拟议的 IRREI 指标的制定和验证；(3) 为 RRM 指标实施了面向物联网的方法；(4) 根据应用 IRREI 指标后通过应用总共有 873 个有效答案的筛选问卷进行评估的结果，对氡风险公众认知进行了讨论。
