2021-06-22

In order to promote domestic undergraduate students' understanding of Tsinghua Shenzhen International Graduate School, the institution for Ocean Engineering (IOE) 2022 Admission Seminar will be held on the morning of June 26, 2021 (Saturday).

At the same time, IOE 2021 Excellent College Students Summer Camp is opening for registration. The summer camp mainly includes four subjects, including civil and hydraulic engineering, resources and environment (Marine direction), electronic information (Marine direction) and energy and power (Marine energy engineering). The purpose of this activity is to improve the understanding of outstanding domestic college students about the relevant disciplines IOE, and conduct preliminary recruitment for the acceptance of the recommended graduate students of 2022 grade.

See link for details:  https://mp.weixin.qq.com/s/uH5uaSnMpRdlS3UtVA7Bfg.

2021-06-08

"Marine Environmental Information Modeling System" has obtained the computer software copyright registration certificate (Registration Number: 2021SR0772916).

This system is mainly for all kinds of personnel related to the ocean field, and it provides a platform for browsing and querying a variety of marine atmosphere, wave and  other environmental information data. Through this system, users can browse the global distribution of environmental data through three-dimensional interaction, and get an intuitive understanding of the changing trend of marine environment. Users can also query environmental data for any location directly, which reduces the threshold of marine environmental information data retrieval and reading. The system is mainly composed of data management module, 3D graphics processing module and user interface module. The Data management module extracts and manages the required environmental information Data from NetCDF (Network Common Data Form) files; The 3D graphic processing module controls the generation of 3D earth and the visualiazation of environmental data; The user interface module is used to process the mouse, keyboard and other user input, and carry out the final display of 3D graphics.

2021-06-07

"Wind Environment and Pollutant Dispersion Simulation System For Building Groups" has obtained the computer software copyright registration certificate (Registration Number: 2021SR0772915).

This system is oriented to architectural design, operation and maintenance personnel, and provides a platform for initiating and executing simulation of wind environment and pollutant diffusion of building groups, as well as viewing simulation results. Through this system, users can simulate the wind environment and pollutant diffusion of building groups interactively, without paying attention to the specific details of data acquisition and numerical calculation, thus reducing the technical threshold of wind environment and pollutant diffusion simulation of building groups, and improving the information level of architectural design, operation and maintenance. The system consists of three modules: data management, analog computation and front-end interaction. Based on B/S structure, the system deploys heavy analog computing tasks to the server, which reduces the demand for computing power of the client. And the data management module is based on geographic information system (GIS) technology, which can automatically extract, integrate and store the data needed for wind environment and pollutant diffusion analysis. Based on the mesoscale meteorological model (MMM) and computational fluid dynamics (CFD) model, the simulation module realizes the automatic initiation, parameter optimization and task scheduling of simulation tasks. The front-end interaction module interacts with users through the Web and provides the result visualization function.

2021-04-12

"Knowledge Extraction and Discovery Based on BIM: A Critical Review and Future Directions" has been published in Archives of Computational Methods in Engineering.

The production activities of the Architecture, Engineering and Construction (AEC) industry are inseparable from the support of accumulated experience and knowledge. In addition to concluding from engineering practices, many studies also try to apply knowledge engineering technologies to extract industry knowledge and store it in documents and databases. In recent years, BIM has been popularized and applied in the AEC industry as an ideal medium for extracting, exchanging and managing building data. In particular, BIM also shows great potential in knowledge acquisition and management of the AEC industry. This paper conducts a comprehensive survey on the research of knowledge engineering based on BIM, and reviews related studies from the following five aspects: (1) knowledge description; (2) knowledge discovery; (3) knowledge storage and management; (4) knowledge inference; (5) knowledge application.

The review indicates that BIM is capable of providing information for knowledge discovery and providing a platform for knowledge integration and application by adopting knowledge engineering techniques such as ontology, semantic web and data mining. This paper also reveals the potential value of knowledge in the AEC industry, but at present the management and application of knowledge is still at the beginning stage. In the future, BIM is expected to be deeply integrated with knowledge engineering to build a knowledge-driven system for building design, construction, and operation and maintenance, and lay a solid foundation for intelligent buildings and infrastructures.

2021-03-01

"Linking data model and formula to automate KPI calculation for building performance benchmarking" has been published in Energy Reports.

Buildings consume a large proportion of global primary energy and building performance management requires massive data inputs. Key Performance Indicator (KPI) is a tool used for comparing different buildings while avoiding problems caused by heterogeneous data sources. However, silos of building and energy consumption data are separate, and the linkages between a KPI formula and different data sets are often non-existent. This paper develops an ontology-based approach for automatically calculating the KPI to support building energy evaluation. The proposed approach integrates building information from BIM and energy and environmental information collected by sensor networks. A KPI ontology is developed to establish a KPI formula, thereby linking static and dynamic data generated in the building operation phase. Each KPI can be defined by inputs, a formula and outputs, and the formula consists of parameters and operators. The parameters can be linked to building data or transformed into a SPARQL query. A case study is investigated based on the proposed approach, and the KPIs for energy and environment are calculated for a real building project. The result shows that this approach relates the KPI formula to the data generated in the building operation phase and can automatically give the result after defining the space and time of interest, thus supporting building performance benchmarking with massive data sets at different levels of details. This research proposes a novel approach to integrating the KPI formula and linked building data from a semantic perspective, and other researchers can use this approach as a foundation for linking data from different sources and computational methods such as formula created for building performance evaluation.

Note: Energy Reports is an important academic journal in the field of energy research. Its impact factor in 2019 is 3.595, and it is listed in the Q2 SCI journals.