2022-01-12

The annual summary meeting of the "13th Five-Year Plan" National Key R&D Program Project of China" Rural Housing Design and Construction Technology Application Information Platform" was successfully held online.

The meeting summarized the overall promotion of the project in 2021 and made arrangements for the work plan for 2022. The research group reported on the progress of the research task "Lightweight Platform Framework and Interface Technology Based on GIS/BIM". At present, the research mission is proceeding smoothly as planned. In 2021, the research task conquered the two key technologies of bim model lightweight and efficient transmission, as well as web-based GIS/BIM model visualization. In 2022, the focus of the research task includes the development and testing of the platform framework, and the completion of the work related to the conclusion of the project.

2022-01-04

Rule-based information extraction for mechanical-electrical-plumbing-specific semantic web has been published in the journal Automation in Construction.

This paper proposes a rule-based approach for professional mechanical, electrical and plumbing (MEP) Information extraction (IE) task, including a “snowball” strategy to collect large-scale MEP corpora, a suffix-based matching algorithm on text segments for named entity recognition (NER), and a dependency-path-based matching algorithm on dependency tree for relationship extraction (RE). Based on the above method, the corpus containing 65MB of text is constructed, and the algorithm is used to automatically construct a corpus including 15978 entities, Knowledge graph of 65110 relationships. The test shows that the proposed method has an accuracy of 81% in identifying named entities and 75% in relation extraction, which is 37% and 49% higher than that of existing deep learning methods.

Note: Automation in Construction, short as AUTCON, is the most influencial academic journal in the field of information technologies in civil and building engineering.It belongs to the Q1 district SCI journal, with a 2021 impact factor of 7.7. The research results have been funded by the National Natural Science Foundation of China and the Glodon BIM Joint Research Center.

2021-12-26

At the 7th National BIM Academic Conference, the research group published three papers. All three papers were included in the Proceedings of the 7th National BIM Conference.

Among them, Zhang Yunyi, a postdoctoral fellow in the Department of Civil Engineering of Tsinghua University, published "Big Data Management Mode and Architecture of Energy Consumption During Building Operation and Maintenance Period" for the first author, which is mainly based on the unified management energy consumption data management mode, and proposes a data management and application architecture for energy consumption during building operation and maintenance. Wu Langtao, a 2019 master's student at the Institute of Disaster Prevention and Mitigation of the Department of Civil Engineering of Tsinghua University, published "Construction and Application of Knowledge Graph of Building Mechanical and Electrical Equipment" for the first author, which proposes a method of using knowledge graph to construct a knowledge retrieval application framework. Lin Chao, a 2020 master's student at the Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School, published "Research and Classification of Intelligent Supervision Informatization Enabling Technology" as the first author, which comprehensively investigated and sorted out the intelligent supervision informatization technology.

2021-12-25

The 7th National BIM Academic Conference and the 8th Annual Meeting of the Professional Committee of the Building Information Modeling (BIM) of the China Graphics Society were successfully held in Chongqing on December 25, 2021.

With the theme of "Innovation Leads Digital Empowerment", this conference focuses on the research and application of BIM technology and related technologies in intelligent construction and life-cycle project management. The total number of offline and online participants and viewers exceeded 10,000. I chaired the fourth session.

At the annual meeting, a total of 100 members of the Special Committee attended the meeting, and the relevant matters of the development committee were discussed at the meeting. After discussion among the members, the 2022 BIM Committee will continue to be organized The National BIM Academic Conference, BIM Lecture Hall, BIM Academic Forum and other series of activities continue to support the "Longtu Cup" National BIM Competition and BIM Skill Level Examination, and strengthen links with the BIM Student Forum.

2021-12-14

Data Integration and Lightweight Technology for Rural Housing has been published in the Journal of Information Technology in Civil Engineering and Architecture.

This paper focuses on integration and lightweight method of building information. It is one of the series research results in the field of information exchange in building engineering. Rural houses usually take the form of villages and are greatly affected by the geographical environment. Therefore, in the process of planning, design and construction, factors such as building information, village information and geographical environment need to be considered at the same time. In order to integrate GIS and BIM multi-source data into one platform, this study proposes an integration method and a lightweight method. It puts forward an automatic integration method based on FBX SDK. After reviewing the existing lightweight methods, it puts forward an improved QEM algorithm for rural housing, which uses vertex importance and model characteristic factor to control the simplification process. Above methods improve an existing rural housing lightweight integration platform from two aspects: expanding the application scenarios of the platform and improving the model processing ability of the platform. Taking a village in Xuzhou City, Jiangsu Province as an example, the methods prove to be practical. This study promotes the research and application of information technology in rural housing design and construction.

Note: The research results were funded by the National Key R&D Program of China and the National Natural Science Foundation of China.