摘要:国产BIM引擎BIMBase在建筑和工程领域已得到广泛应用，但在处理发电厂大体量模型时，性能和效率有所降低。针对这一问题，本文提出了一系列优化方案，以提高BIMBase在处理发电厂大体量模型时的性能和效率，从而满足发电领域的需求。首先，本文调研和分析了BIMBase引擎的工作原理和结构，研究了在渲染大规模数据时面临的挑战和问题；其次，基于已有的研究成果，本文提出了量化优化指标、优化渲染算法等方法；最后，本文在实验中对优化方案进行验证和评估。结果表明，这些方法能够显著提高BIMBase引擎在渲染大规模数据时的性能和效率。本文提供了一套对BIM引擎在发电领域应用上的优化方法论和优化方案，可为其他BIM图形引擎优化提供一些参考和借鉴。此外，本文还对这些优化方案的效果进行了分析和讨论，以提供一些实践指导和参考。

Abstract: BIMBase, a Domestically-developed BIM Engine, has been widely applied in the fields of architecture and engineering. However, its performance and efficiency decrease when handling large-scale models of power plants. To address this issue, this paper proposes a series of optimization strategies to enhance the performance and efficiency of BIMBase when dealing with large-scale power plant models to better assist the power generation sector. Firstly, this paper investigates and analyzes the working principles and structure of the BIMBase engine, and studies the challenges and issues when rendering large-scale data. Secondly, upon existing research findings, this paper develops quantifying optimization indicators and optimizing rendering algorithms.The results show that these methods can significantly improve the performance and efficiency of the BIMBase when rendering large-scale data. The paper provides a set of optimization methodologies and strategies for the application of BIM engines in the power generation field as well as the analysis and discussion on the effects of these optimization strategies, which can also serve as a reference for the optimization of other BIM graphics engines and a guidance to the practice.