###### Abstract
(3) Enhancing data analysis capabilities within BIM models, as exemplified by [PERSON] et al. [38], who used Dynamo codes to manage healthcare facilities. (4) Improving interoperability between different software applications and formats. For instance, [PERSON] et al. [34] used Dynamo to automate data exchange and synchronization between BIM software and Excel databases for sustainable bridge assessment, while [PERSON] [39] integrated environmental sensor measurements into BIM using Dynamo. (5) Enhancing construction and fabrication, as demonstrated by [PERSON] et al. [40], who optimized steel fabrication processes through the utilization of Dynamo. And finally, (6) the creation of customized parametric families. For example, [PERSON] et al. [10] employed Dynamo to create parametric structural families for damaged elements in a suspension bridge;
2. Robot Process Automation (RPA) protocols: RPA refers to an advanced technology that automates tasks traditionally performed by humans by replicating user interface interactions, following business rules and activity structures [41]. This emulation of human activities offers advantages such as enhanced efficiency, reduced errors, and increased productivity [42]. A comprehensive exploration of RPA's applications across various industries, including banking, healthcare, and manufacturing, is provided in [42]. In the construction domain, the limited utilization of this technology is exemplified by [PERSON] et al. 's work [43], in which they proposed automating the management of low-cost sensors for dynamic structure monitoring using RPA tools. Despite its potential applications, there is a scarcity of prior literature introducing the use of RPA for BIM model calibration. Notably, the literature review carried out on BIM and RPA applications yielded only non-peer-reviewed work by [PERSON] and [PERSON] [44], who suggested employing RPA to automate building equipment operations in BIM models. According to [PERSON] et al. [45], the benefits of RPA include (1) a user-friendly interface, (2) faster and more streamlined programming compared to Dynamo and Python, and (3) direct execution in productive environments. Additionally, as stated by [PERSON] and [PERSON] [46], RPA can effectively complement Internet of Things (IoT) protocols. In this context, this paper introduces, for the first time in the literature, specialized protocols designed to incorporate real-time weather data from specific websites into BIM databases. Additionally, these protocols facilitate the automation of the decision-making process through an alert system that promptly notifies stakeholders in the event of detected hazardous weather conditions. The proposed tools use RPA protocols to automate the processes. In addition, parametric visual programing is used to incorporate weather information and alerts into the BIM model and to ensure its accurate graphical representation. The application of the proposed methodology is tested for enhancing the safety of an actual residential building located in Vina del Mar, Chile. Moreover, this research seeks to provide an alternative tool for hazard management considering the recent wildfire catastrophe in this sector, which to date has claimed more than 100 lives and demonstrates the need for preventive systems [23]. This work follows the following organization. Section 2 provides a review of the versatility of the formats of the data available on specialized weather websites, together with the challenges facing their periodic extraction. Additionally, this section provides examples of hazardous weather alerts. Section 3 presents an innovative methodology that relies on Robot Process Automation (RPA) protocols. This methodology automates the periodic extraction of weather data to identify hazardous weather conditions and integrate them into the BIM model's database. Furthermore, it facilitates the automated dissemination of electronic alerts when such hazardous weather conditions are detected.