Digital twin engine construction method for the operation management of water diversion and transfer project pumping station groups
ZHANG Sherong1,2, ZHANG Yaofei1,2, WANG Chao1,2, WANG Xiaohua1,2, YANG Xiaolong3, LIANG Lihui3, ZHANG Libing3, LIU Mei4
1. School of Civil Engineering, Tianjin University, Tianjin 300072, China; 2. State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300072, China; 3. Kunming Engineering Corporation Limited, Power China, Kunming 650051, China; 4. China South-to-North Water Diversion Eastern Route Co., Ltd., Beijing 100070, China
Abstract：[Objective] Digital twin technology can improve the quality of operation management of pumping station groups in water diversion and transfer projects. However, the current application of digital twin technology in the operation management of pumping station groups remains exploratory. Moreover, certain problems persist, such as difficulties ensuring the operational performance of digital twin scenes and combining the integration of data, knowledge, and models with business, all of which hamper the application of digital twin technology. To bridge this gap, this study constructs a six-dimensional theoretical model and basic framework of a digital twin engine and proposes a high-performance digital twin engine construction method in combination with the business requirements of a pumping station group’s operation management. [Methods] In terms of theoretical modeling, this paper divides the critical elements of a digital twin engine into six aspects: Physical scenes, twin scenes, services, twin data, connections, and feedback and decision-making. These elements are interrelated, thus mapping the physical scenes into twin scenes and realizing the digital twin engine’s dynamic operation and virtual-real integration through services, twin data, and connections. On the basis of the theoretical model, the digital twin engine framework combines the business elements of the pumping station group’s operation management. These include data collection, data storage, support, function, and display layers, which provide a data foundation, operation environment, function services, and interaction window for the engine. Furthermore, the digital twin engine construction method includes the following five aspects: Twin scene generation engine, data management engine, dynamic virtual-physical mapping engine, operation simulation and analysis engine, and reality interaction and feedback control engine. In particular, the twin scenes generation engine generates high-performance and smooth twin scenes through lightweight BIM processing and data-knowledge-model fusion. The data management engine builds a multiprecision, full-factor twin data resource pool. The dynamic virtual-physical mapping engine realizes real-time and dynamic iterative updating of physical scenes in twin scenes. Moreover, the operation simulation and analysis engine supports the core business capability of the pumping station group’s operation management by providing program recommendations, operation process preview, performance analysis, and other capabilities for the pumping station group. The reality interaction and feedback control engine also provides the pumping station group with operational decision-making capability and a safe control environment. [Results] In practical applications through engineering cases, the digital twin engine was mainly constructed in the browser/server mode, with the desktop application as a supplement. The results revealed that the digital twin engine effectively supported the pumping station group’s operational management business requirements. It was found that the operation optimization capability saved 4.14% in operation costs and 1.59% in energy consumption while maintaining high operation efficiency. Simultaneously, the operation scheme generated by the engine enabled a simulation preview of the entire operation process, accompanied by high-performance dynamic virtual-physical mapping. The dynamic virtual-physical mapping engine and timing database significantly reduced the response time of data mapping, maintaining the response time for 10 000 data mappings within 300 ms. Furthermore, after undergoing lightweight processing, the twin scene maintained a high running frame rate, whether deployed as a desktop application or a web-based application. In terms of computer resource consumption, when performing a simultaneous simulation preview and utilizing the weather system, a substantial amount of data and particle effects needed to be processed, necessitating a high-performance computer graphics processor. In contrast, digital twin engines typically operated under low-performance stress conditions and did not demand high computer performance. [Conclusions] This work provides theoretical and methodological support, as well as serves as a practical reference, to help construct a digital twin engine that targets the operation management of pumping station groups in water diversion projects. Nonetheless, this paper describes a digital twin engine construction method that marks a preliminary step in integrating data, mechanisms, algorithms, and knowledge specific to pumping station group systems in water diversion projects. Future research should focus on enhancing the engine’s performance, determining comprehensive engine functions that are customized to meet various business needs, and exploring the applications of deep mining multimodel coupling.
张社荣, 张耀飞, 王超, 王枭华, 杨小龙, 梁礼绘, 张礼兵, 刘梅. 引调水工程泵站群运行管控数字孪生引擎构建方法[J]. 清华大学学报（自然科学版）, 2024, 64(7): 1100-1115.
ZHANG Sherong, ZHANG Yaofei, WANG Chao, WANG Xiaohua, YANG Xiaolong, LIANG Lihui, ZHANG Libing, LIU Mei. Digital twin engine construction method for the operation management of water diversion and transfer project pumping station groups. Journal of Tsinghua University(Science and Technology), 2024, 64(7): 1100-1115.
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2024, Vol. 64 
