2020.1-2022.12: Automatic Compliance Checking of Performance-based Fire Protection Design by Integrating Reasoning and Simulation

NSFC Project, National Science Foundation of China, 2020

Objective of this project is to integrate semantic reasoning and performance simulation for automatic compliance checking of fire protection design. In this project, BIM, ontology, rule checking, and AI are utilized to build a unified semantic model for reasoning and simulation purpose, and a prototype system with integration of reasoning engine and simulation is developed to automatically check a fire protection design.

I’m the Principal Investigator of this project.

Related Publications:

  • Data Cleaning for Building Performance Monitoring

    Chen, W., Zhang, Y., Lin, J. (2020). Data Cleaning for Building Performance Monitoring. Proceedings of the 6th National Conference on Building Information Modeling, 321-325. China Architecture&Building Press. Taiyuan, China. (in Chinese) cited by count

  • Named Entity Recognition for Automatic Compliance Checking

    Zhou, Y.C., Zheng, Z., Lin, J.R.*, Yang, Z.Y., Lu, X.Z. (2021). Named Entity Recognition for Automatic Compliance Checking. the 7th National Conference on Building Information Modeling, 469-473. China Architecture&Building Press. Chongqing, China. cited by count

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