###### Abstract  
The Field Trip for Measured Survey of Built Heritage carried out by Tianjin University every summer aims to educate students in each practice session, i.e., on-site data acquisition, condition investigation, classification of the component library, taking observation notes, and accomplishing HBIM deliverables. Under the risks posed by the ongoing COVID-19 pandemic, the students could not leave the campus as a provisional arrangement. Only a team of five people was allowed to visit the Kuiwen Pavilion in the Temple of Confucius (Qufu, China). Therefore, the field trip for students had to be replaced with remote solutions, which consists of the following methods: on-site data acquisition; post-processing; online education, observation, modeling, delivery. Kuiwen Pavilion in the Temple of Confucius is a library with the official architectural style of the Ming and Qing Dynasties (14 th to 20 th century), for which building regulations are commonly recognized, and are suitable for survey education. In this context, this article focuses on the remote practice methods applied and tested throughout the case study. During the practice of the course, students who managed to finish the course, through the virtual tours and other online methods, finally achieved delivery of the HBIM models. H +
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could be regarded as recording regularity, while the surface model meshing from the point cloud could be regarded as recording differentiation. However, the process of mapping HBIM objects onto the point cloud relies on subjective judgments, bringing difficulties for repetition. [PERSON] et al. (2016) [3] suggested that an HBIM model is essentially an \"index frame\" for the heritage building's information, does not have to represent the \"real object\" 100%. [PERSON] et al. (2019) [4] continued to suggest that the fundamental issue of HBIM is the balance between regularization modeling and differentiation modeling. Therefore, the algorithmic modeling of HBIM could be a better solution because it is easy to repeat with node-visible modeling programs [5; 6; 7; 8; 9; 10]. Traditional methods of digital documentation have accumulated a large number of two-dimensional CAD drawings, survey reports, and survey photographs. These data need to be processed with some degree of presumption, relying on experiences to avoid mistakes. Data registration needs subjective-based judgments to unify many dimensions; therefore, it is hard to repeat. The solution for the utilization of existing archives needs to be discussed. [PERSON] et al. (2018) proposed that the development of useful plug-ins could be a future focus [11]. [PERSON] et al. (2019) [12] suggested a solution for information management that links external databases into Navisworks Manage through the Datatools plug-in. Through the SQL (Structured Query Language) statement, the databases and the models are well associated. [PERSON] et al. (2020) [13] suggested a web-based information system, which uses a remote server to install external SQL databases, making it possible to automatically link information to models through the web interface. [PERSON] et al. (2021) [14] summarized the regularized rebuild workflow of HBIM, as one possible solution for the utilization of existing archives. The workflow consists of the classification of components while on-site investigations, the summary of the building regulations, the development of algorithm modules using Rhino and Grasshopper, the association of the model in IFC (industry foundation class) format and data in Excel format, the selection of algorithm modules, and multi-disciplinary collaboration in Navisworks. According to IFC schema, IfcAttribute describes the directly contained data, whereas IfcProperty describes the linked data. This workflow aims at creating regularity models, unifying the parameters that are slightly different in similar components, with algorithm modeling using Grasshopper. The whole process can be repeated and adjusted at any node (Figure 1).