Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866915565863436288 |
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| author | Derras, Boumediene |
| author_facet | Derras, Boumediene |
| contents | The prediction of Intensity Measures (IMs) using Ground-Motion Models (GMM) is a fundamental component of seismic hazard assessment. However, the best estimation of IMs traditionally requires specialised searchers, programming expertise, and the manual sourcing of regression coefficients. This complexity creates a significant barrier to rapid, scenario-based analysis for engineers, researchers, and students. To address this challenge, we have developed the OpenGSIM bot, an automated and conversational workflow that provides on-demand access to the entire OpenQuake-engine GMM library via the Telegram messaging application. The system leverages the n8n workflow automation platform to orchestrate a user interaction, guiding the selection from over 21 IMs along with their associated total standard deviation (aleatory variability) and more than 500 distinct GMMs classes. The bot interactively elicits the necessary physical parameters, accounting for source, path, site, geological, tectonic, and regional effects as required by the chosen model. A Python wrapper executes the calculation and generates a comprehensive report. A Large Language Model is used to provide an automated interpretation of different types of response spectrum. By abstracting the complexities of software installation and programming, OpenGSIM democratises access to advanced seismic hazard tools, enabling robust IM estimation on any device and without the installation of any software or code package. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_18055 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures Derras, Boumediene Geophysics The prediction of Intensity Measures (IMs) using Ground-Motion Models (GMM) is a fundamental component of seismic hazard assessment. However, the best estimation of IMs traditionally requires specialised searchers, programming expertise, and the manual sourcing of regression coefficients. This complexity creates a significant barrier to rapid, scenario-based analysis for engineers, researchers, and students. To address this challenge, we have developed the OpenGSIM bot, an automated and conversational workflow that provides on-demand access to the entire OpenQuake-engine GMM library via the Telegram messaging application. The system leverages the n8n workflow automation platform to orchestrate a user interaction, guiding the selection from over 21 IMs along with their associated total standard deviation (aleatory variability) and more than 500 distinct GMMs classes. The bot interactively elicits the necessary physical parameters, accounting for source, path, site, geological, tectonic, and regional effects as required by the chosen model. A Python wrapper executes the calculation and generates a comprehensive report. A Large Language Model is used to provide an automated interpretation of different types of response spectrum. By abstracting the complexities of software installation and programming, OpenGSIM democratises access to advanced seismic hazard tools, enabling robust IM estimation on any device and without the installation of any software or code package. |
| title | Developing an Open-access Telegram Bot for Automated, estimation and IA-based interpreted of OpenQuake Ground-Motion intensity measures |
| topic | Geophysics |
| url | https://arxiv.org/abs/2510.18055 |