A CIM-based urban information model data calculation method
CN122087930BActive Publication Date: 2026-08-28AVIC CONSTR GRP CO LTD
Patent Information
- Application Number
- CN202610542646.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-23
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2046-04-23
AI Technical Summary
Technical Problem
[0005]本发明针对现有技术中CIM城市信息模型在面对不同测试场景时采用固定演化参数进行统一计算、导致演化数据与场景实际需求适配性差、测试用例准确率低的技术问题，提供一种基于CIM的城市信息模型数据计算方法来解决
Benefits of technology
[0018]对目标测试场景描述信息进行语义解析，构建测试场景特征向量，从而将测试场景的语义信息转化为可量化的特征表示，为后续演化参数的自适应匹配提供结构化输入基础。针对以CIM城市信息模型为计算底座的至少一个演化预测模型，构建包含时间步长参数、演化时间窗口、数据平滑因子、历史权重衰减系数、空间耦合系数和数据压缩率的演化参数空间，从而全面覆盖影响演化预测模型计算行为的关键参数维度，为不同测试场景下的参数自适应调整提供完整的参数候选范围。以预测误差目标、数据冗余目标和计算效率目标为优化目标，训练测试场景特征向量与演化参数空间的概率函数映射关系，并基于该概率函数映射关系输出自适应演化参数组合，从而建立测试场景特征与最优演化参数之间的智能映射机制，实现针对不同测试场景的参数自动推断与优化选取。将自适应演化参数组合导入演化预测模型执行数据演化计算，得到动态演化时序数据集，从而使演化预测模型在场景适配参数的驱动下生成与目标测试场景需求高度匹配的动态时序数据。将动态演化时序数据集作为测试用例传输至目标测试场景描述信息的测试系统终端，获取被测目标的测试性能结果，从而以场景适配的动态时序数据驱动被测系统完成测试验证，获取真实反映系统性能的测试结果。
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122087930B_ABST
Abstract
The application provides a CIM-based urban information model data calculation method, and belongs to the field of data processing. The method comprises the following steps: performing semantic analysis on target test scene description information, and constructing a test scene feature vector; constructing an evolution parameter space for at least one evolution prediction model based on a CIM urban information model; training a probability function mapping relationship between the test scene feature vector and the evolution parameter space, and outputting an adaptive evolution parameter combination based on the probability function mapping relationship; importing the evolution prediction model to perform data evolution calculation, obtaining a dynamic evolution time series data set, and transmitting the data set to a test system terminal of the target test scene description information as a test case to obtain a test performance result of a measured target. The evolution parameter combination is adaptively adjusted according to the test scene feature, the dynamic time series data output by the evolution prediction model is more suitable for the requirements of various test scenes, and therefore the accuracy of the test case and the calculation efficiency are improved.
Need to check novelty before this filing date? Find Prior Art
Citation Information
Patent Citations
Smart city planning and design method
CN119783198A
Urban space resource optimal configuration method based on urban information model
CN120724562A