###### Abstract  
The rapid evolution of digital technologies has revolutionized the architecture, engineering, and construction (AEC) industry, driving the wide-spread adoption of digital twins for structures. These virtual replicas, developed using Building Information Modeling (BIM) methodology, incorporate extensive information databases, proving indispensable for enhancing project management throughout a structure's entire lifecycle and towards smart city development. As the impact of climate change continues to grow, hazardous weather alerts play a critical role as an early-warning system that notifies stakeholders of imminent threats, thereby influencing decision-making processes in construction projects. Surprisingly, despite its evident value, the integration of alert systems for hazardous weather conditions into BIM is often overlooked. To fill this gap, this paper proposes Robot Process Automation (RPA) protocols to automate the integration of real-time weather parameters into a structure's BIM models. These very protocols are also used as alert systems, enabling the timely notification of stakeholders in the event of detected hazardous weather conditions. The effectiveness of the proposed methodology is demonstrated through its practical application in enhancing the safety of an actual building in Vita del Mar, Chile. building information modeling; robot process automation; web-based information; digital twin; hazardous weather conditions; internet of things +
Footnote †: journal: Applied  
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data [12; 13], environmental data [14; 15], safety data [16], documentation, supplier and manufacturer data [6], and energy information [17; 18]. Weather information refers to data and details about atmospheric conditions in a specific location at a given time. It includes a diverse range of meteorological parameters, including but not limited to temperature, humidity, precipitation, wind speed and direction, and tides. This valuable data are typically kept accessible on web servers, exemplified by worldwide platforms such as Weather.com [19] and AccuWeather [20]. This information is maintained and updated by specialized entities in meteorological forecasting, including government agencies, meteorological institutes, private weather service companies, and non-profit organizations dedicated to the collection and dissemination of meteorological data. In the current context, with the impacts of climate change on the rise, it is vital to underscore the pivotal role of meteorological forecasting in the decision-making processes of government officials [21]. Meteorological forecasts can offer early warnings about hazardous weather conditions, encompassing storms, tides, wildfires, and tornadoes [22]. In this regard, a recent event during February 2024 affecting urban sites in the Valparaiso region, Chile has been identified as the second deadliest catastrophe after the earthquake and tsunami of 2010 [23]. Furthermore, forecasted weather conditions can have a significant impact on a building's performance, energy consumption, and safety. Surprisingly, despite its substantial influence, this valuable information is rarely integrated into BIM databases. Several challenges contribute to this limitation, including the following: (1) Information Dispersal: weather data are often scattered across various websites and updated at different time intervals, making it difficult to aggregate and incorporate into BIM databases cohesively; (2) interoperability: BIM software typically lacks the inherent capability to access and retrieve data from web-based platforms and seamlessly integrate it into its databases.