Radon Pollution in Educational Facilities: Investigating the Use of Digital Twins to Monitor and Control Exposure to Indoor Air Pollutants



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Radon, a naturally occurring gas, is a known carcinogen that poses a serious threat to public health. This colorless, odorless gas can enter buildings through cracks, gaps, and other openings and accumulate to harmful levels. Radon monitoring can be challenging due to several factors. Radon gas is invisible and odorless, making it difficult to detect without specialized equipment. Additionally, radon levels can vary significantly over time and from location to location, making it necessary to conduct long-term monitoring and analysis to obtain accurate data. In educational facilities, monitoring radon levels can be particularly challenging due to the large number of rooms and buildings that need to be monitored and the varying occupancy patterns of these facilities. To address these challenges, radon monitoring programs must be carefully designed and implemented to ensure that they are effective and efficient. This study aims to develop a digital twin model of two offices to track indoor radon levels and take action to reduce them. Radon levels were measured using wireless sensors. Autodesk Revit was used to create a building information model, and Dynamo visual programming was used to integrate sensor data. With the help of Power BI, a dashboard was created to present the 3D model and the radon levels over time. Additionally, the dashboard sends alerts if the radon level exceeds the threshold. With the help of the dashboard, the management team can quickly and easily identify any changes in radon levels that may indicate potential safety hazards. This can include areas where radon levels are consistently high, indicating the need for additional ventilation or other safety measures. Moreover, the dashboard can also provide insights into the effectiveness of any measures that have been implemented to reduce radon levels. By tracking the data over time, the management team can see if the measures have been successful or if additional steps are needed to improve safety further.



Digital twin, Radon monitoring, Building information modeling (BIM), Indoor air quality