2018.1-2021.12：信息驱动下既有建筑物/群多尺度性能模拟与分析技术研究
国家自然科学基金面上项目, 国家自然科学基金委, 2018
以既有建筑运维期信息作为支撑，以BIM和AI等信息技术为驱动，通过对既有建筑性能分析体系的深入研究，面向不同尺度的性能分析需求，提出一个多尺度建筑物运维信息模型，并基于混合云架构实现海量信息的集成高效管理。在此基础上，研究外环境尺度和内环境尺度的信息融合机制，通过技术集成、系统集成和应用集成的方式，研发一个面向既有建筑物/群的多尺度性能模拟与分析系统，以实现多尺度建筑运维期性能分析与预测。
项目负责人为胡振中老师，本人为课题主要技术骨干。
相关论著发表情况:
A Hybrid Data Mining Approach on BIM-based Building Operation and Maintenance
Peng, Y., Lin, J.R., Zhang, J.P., Hu, Z.Z.* (2017). A Hybrid Data Mining Approach on BIM-based Building Operation and Maintenance. Building and Environment, 126, 483-495. doi: 10.1016/j.buildenv.2017.09.030
Ontology-Based Semantic Retrieval Method of Energy Consumption Management
Xiao, Y., Hu, Z.*, Lin, J. (2019). Ontology-Based Semantic Retrieval Method of Energy Consumption Management. Advances in Informatics and Computing in Civil and Construction Engineering, 231-238. Springer International Publishing. Chicago,Illinois, US.
Automatic MEP Knowledge Acquisition Based on Documents and Natural Language Processing
Leng, S., Hu, Z.Z.*, Luo, Z., Zhang, J.P., Lin, J.R. (2019). Automatic MEP Knowledge Acquisition Based on Documents and Natural Language Processing. Proceedings of the 36th CIB W78 2019 Conference, 800-809. Newcastle, United Kingdom.
A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data from Tunnel Boring Machines
Leng, S., Lin, J.R., Hu, Z.Z.*, Shen, X. (2020). A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data from Tunnel Boring Machines. IEEE Access, 8, 90430-90449. doi: 10.1109/ACCESS.2020.2994115
A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data
Yuan, S., Hu, Z.Z., Lin, J.R., Zhang Y.Y.* (2021). A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data. Sensors, 21(4), 1395. doi: 10.3390/s21041395
Knowledge Extraction and Discovery Based on BIM: A Critical Review and Future Directions
Hu, Z.Z.*, Leng, S., Lin, J.R., Li, S.W., Xiao, Y.Q. (2022). Knowledge Extraction and Discovery Based on BIM: A Critical Review and Future Directions. Archives of Computational Methods in Engineering, 29(1), 335-356. doi: 10.1007/s11831-021-09576-9
A Data Integration and Simplification Framework for Improving Site Planning and Building Design
Leng, S., Lin, J.R., Li, S.W., Hu, Z.Z.* (2021). A Data Integration and Simplification Framework for Improving Site Planning and Building Design. IEEE Access, 9, 148845-148861. doi: 10.1109/ACCESS.2021.3124010
Deep Learning-based Instance Segmentation for Indoor Fire Load Recognition
Zhou, Y.C., Hu, Z.Z., Yan, K.X., Lin, J.R.* (2021). Deep Learning-based Instance Segmentation for Indoor Fire Load Recognition. IEEE Access, 9, 148771-148782. doi: 10.1109/ACCESS.2021.3124831
Data Cleaning for Prediction and its Evaluation of Building Energy Consumption
Zhang, Y.Y, Hu, Z.Z., Lin, J.R., Zhang, J.P.(2021). Data Cleaning for Prediction and its Evaluation of Building Energy Consumption. 2021 Proceedings of the 38th ISARC, 427-434. Dubai, UAE. doi: 10.22260/ISARC2021/0059
建筑运维期能耗大数据管理模式与架构
张云翼*, 胡振中, 林佳瑞, 张建平. (2021). 建筑运维期能耗大数据管理模式与架构. 第七届全国 BIM 学术会议论文集, 536-540. 中国建筑工业出版社. 中国, 重庆.
Rule-based Information Extraction for Mechanical-Electrical-Plumbing-Specific Semantic Web
Wu, L.T, Lin, J.R., Leng, S., Li, J.L., Hu, Z.Z. (2022). Rule-based Information Extraction for Mechanical-Electrical-Plumbing-Specific Semantic Web. Automation in Construction, 135, 104108. doi: 10.1016/j.autcon.2021.104108
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