2024-08-09

From August 9 to 11, the 11th International Conference on Coastal and Ocean Engineering (ICCOE 2024) was held in Yantai, Shandong. Liu Yi, a doctoral student from the research group, attended the conference and presented a report titled "Real-time Monitoring and Analysis for Digital Twin of Floating Wind Turbine," which introduced the group's work on real-time monitoring and analysis of floating wind turbines. The demand for clean energy has made floating wind turbines an increasingly viable option. However, their operation and maintenance face many challenges, and the advent of digital twins offers a potential solution. The research proposed a monitoring and analysis framework for the digital twin of floating wind turbines, covering three main aspects: marine environment, turbine pose, and structural state. For the tower structure of floating wind turbines, a state inversion method based on limited sensors was proposed, capable of quickly providing comprehensive structural health information. Building on this, a scaled model of the turbine was constructed, and the proposed methods were applied to the monitoring and analysis of actual turbines, achieving a complete process from data sensing, data storage, data integration and fusion, to feedback control, thus forming an information closed-loop between the physical and virtual worlds. By deeply integrating digital models, marine environment, and turbine state data, a complete digital twin of the floating wind turbine was constructed, providing critical support for making turbine state information transparent, managing safety risks, intelligently adjusting parameters, and aiding informed decision-making.

Note: The ICCOE conference is held annually and aims to promote research and development activities in coastal and ocean engineering and to facilitate the exchange of scientific information among researchers, developers, engineers, students, and practitioners from home and abroad. It serves as an ideal platform for sharing ideas and experiences in coastal and ocean engineering and related fields.

2024-07-28

From July 28 to July 31, the 2024 ASCE International Conference on Computing in Civil Engineering (13CE 2024) was held in Pittsburgh, USA. Doctoral student Loh Ching Wah from the research group attended and gave a special presentation.

During the conference, Loh Ching Wah delivered a keynote speech titled "Standard-Driven Chinese Knowledge Extraction in Highway Domain using Machine Learning and NLP Approach." This research enhances the data processing capabilities of highway standards by building an automatic knowledge extraction model. The method employs machine learning techniques on a small training set to accomplish tasks such as named entity recognition and relationship classification. The research results are stored in the form of a knowledge graph, effectively linking concepts in the highway domain and offering new possibilities for data-driven advancements and interdisciplinary collaboration in highway projects. The presentation was well-received by attending scholars and industry professionals, leading to extensive discussions and exchanges on topics related to knowledge graphs.

2024-07-24

After discussion and approval at the 88th Standing Committee meeting of the 15th Party Committee, I won the "Young Teachers' Teaching Excellence Award" of Tsinghua University in 2023 (10 people in the whole school won the award). This honor is not only an affirmation of my teaching work in the past few years, but also a responsibility and spur, which encourages me to continue to explore and advance on the road of teaching and educating people.

The selection process of "Young Teachers Teaching Excellence Award" of Tsinghua University is strict, including teaching consultants auditing lectures, expert evaluation of teaching opinions and students' classroom evaluation results. It is a great honor for me to win this award after all the rounds of selection. In the future, I will continue to work hard to continuously improve the teaching level, promote educational innovation, and contribute to cultivating more excellent composite talents. I would like to thank Tsinghua University for providing the platform and support, as well as colleagues and students for their trust and encouragement.

2024-07-20

The paper "Large⁃scale BIM Lightweight Technology for Rail Transit Engineering" has been published in the journal Railway Engineering.

To solve the problem of difficult data integration caused by the large-scale Building Information Modeling （BIM） in rail transit engineering， this paper proposed BIM lightweight technology. By improving the secondary error measurement algorithm to reduce model complexity while preserving model details and geometric features， and the triangular mesh similarity measurement algorithm was used to reduce the number of similar component store times， and the amount of data stored in the model can be reduced. model data was split and transmitted in stages to improve model transmission speed. The display efficiency was optimized through local reconstruction and dynamic removal of redundant components， and partition rendering was performed on the model to reduce runtime. After being applied at Modiesha Station on Guangzhou Metro Line 18， this technology was used to lightweight for the large-scale model， reducing the occupied storage space about 15.71% ~ 35.87%， reducing the number of grids about 21.46% ~ 31.65%， and increasing the transmission speed about 2.5 ~ 10.0 MB/s. Moreover， the geometric components of the model can be clearly displayed on a self-developed graphics platform at a speed of 50.0~59.8 frames/s.

Note: The first author of this paper is Xue Zhigang, digital engineer in charge of Guangzhou Metro Construction Management Co., LTD. I am the corresponding author, and the authors also include doctoral student Li Yilin. The research results have been funded by the national key research and development program of China.

2024-07-09

On July 9th, the establishment ceremony of the Intelligent Ocean Engineering Technology Research Center and the kick-off meeting of the Domestic Ocean Engineering Analysis Software Project were grandly held at the Beijing Western Hill Research and Development Base of the China Ocean Engineering Research Institute (Qingdao). The attendees included faculty members and graduate students from Tsinghua University, as well as leaders and experts from the China Ocean Engineering Research Institute (Qingdao), totaling 35 people.

The meeting began with a mobilization speech by Zhang Jianmin, Academician of the Chinese Academy of Engineering, dean of the Institute of Ocean Engineering at Tsinghua SIGS, President of the Chinese Academy of Ocean Engineering (Qingdao), Academician Zhang stressed the importance and urgency of the localization of offshore software, and pointed out that the establishment of the research center is an important milestone to promote the "Tsinghua University Engineering to the sea" to the deep and high-quality development. Then, Teacher Li Sunwei and I respectively made special reports on the overall planning and program of the research center, the localization project planning and work progress.

The convening of this meeting marked that the China Academy of Ocean Engineering (Qingdao) comprehensively promoted the development of digital intelligence offshore engineering strategy and took the lead in initiating the process of localization of offshore structural analysis software. We will also give full play to our own advantages, actively explore cutting-edge technologies in the field of Marine engineering, promote the development of Marine engineering to "less humanized, unmanned, and remote", help build a national scientific and technological innovation team with the international top level of "intelligent Marine and intelligent Marine engineering", and strive to enter a new stage of intelligent and intelligent development of Marine engineering.