Year: 2025
Type: article
Abstract: Commercial roofing is going through a sea change enabled by data analytics, artificial intelligence (AI) and decision support systems.Developed by FM Approvals, the powerful RoofNav is a comprehensive yet user-friendly tool enabling you to design class 1-90 code compliant roofing systems.However, the manual method in RoofNav is complicated and time-consuming.In this paper the Smart Assembly Recommender (SAR) is introduced as a new AI-enabled system that is an extension of the RoofNav platform for commercial roofing specification.The key goal of SAR is the simplification of selecting assemblies, a process that results in code-compliant designs and a contract bid faster than ever by delivering intelligent recommendations directly within industrystandard workflows.Great Expectations was built with three deployment options: a browser-based notebook interface, a BIM plugin for Autodesk Revit and a RESTful API for enterprise integration.Quantitative assessments indicate that the browser interface reduced the design time by around 30%, and the Revit plugin increased the design accuracy by ˇ25% by performing automatic compliance checks.The RESTful API was enterprise-ready and provided an average response time as low as 150 milliseconds for high concurrent usage.Underneath it all, the machine-learning engine trained on Sukruthi Reddy Sangannagari https://iaeme.com/Home/journal/IJIT59 editor
Author: Sukruthi Reddy Sangannagari
Institution: FM Global (United States)
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411451500