Abstract:
In this paper, we discussed in detail the construction of digital twin model applied to sewage treatment plants, to solve the problem of the operating pressure of sewage treatment plants increases year by year with the development of cities. Different from the traditional digital twin system which uses pure Building Information Management (BIM) as visual model, this paper designs a multi-modal visual model based on multi-source data such as Unmanned Aerial Vehicle (UAV) and drawings. The three sub-models of the model can complete different visualization functions respectively, and each sub-model can be applied to Personal Computer (PC) and Mixed Reality (MR) head-mounted devices in different working scenarios such as central control room inspection and plant inspection. The construction of sub-models can also provide new data types for the data-driven process of digital twins, and further assist the construction of other sub-models. This digital twin system integrates sewage plant data to assist staff in process decision making and shorten staff training cycle. The architecture and construction method of our model are described in detail in this paper. Β© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
