Research on Data Fusion of Building Operation and Maintenance Systems Based on Digital Twins and Its Application
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摘要: 在建筑运维系统的数据映射到建筑数字孪生体的过程中,面临着数据离散、多源异构、查询时效性差等问题。为解决上述问题,在建筑运维数据的准备、接入、转换、集成和可视化等方面基于数字孪生体设计了新的运维数据融合路线并构建数据融合系统。利用Flink自定义Source Function算子、数据转换映射配置、自主研发流式计算引擎和OLAP引擎,解决建筑运维系统的上述三个问题。最后以青岛市某三甲医院为例进行实践。结果表明:提出的数据融合路线可以充分满足建筑运维系统数据融合的各项要求;该数据融合系统能够顺利完成该医院多个领域超30亿条数据的接入、转换、存储和可视化任务;该数据融合路线也为数字孪生技术的研究和应用奠定了基础。Abstract: The process of mapping data from a building operation and maintenance system to building digital twins is exposed to various problems, such as discrete data, multi-source heterogeneous data, and poorly effective queries, and so on. To solve those problems, a new approach to fusion of building operation and maintenance data was designed and a data fusion system based on digital twins in the aspects of the preparation, access, transformation, integration, and visualization, and etc of building operation and maintenance data. The custom Source Function operator of Flink, data transformation and mapping configurations, and the self-developed stream processing engine and online analytical processing (OLAP) engine were employed to solve the above three issues of building operation and maintenance systems. Finally, a grade-A tertiary hospital in Qingdao was discussed as an example of practical application. The results supported the following conclusions:The proposed data fusion approach could fully meet the various data fusion requirements of the building operation and maintenance system; the proposed data fusion system was capable of successfully accessing, transforming, storing, and visualizing the hospital's over three billion pieces of data from various fields; the proposed data fusion approach also laid a foundation for research and application of digital twin technology.
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