遇见数据集

典型电力装备多物理场机理模型库数据集

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该内容围绕20 个“典型电力装备多物理场机理模型”数据集展开,涵盖变压器、桥臂电抗器、套管、盆式绝缘子相关多物理场耦合与专项模型,研究周期为 2021 年 11 月至 2023 年 12 月。时间精度依仿真目标分毫秒 / 微秒级(如暂态过程)和秒 / 分钟级(如稳态分析);空间覆盖装备全尺寸三维结构,以毫米级网格仿真及光纤光栅传感器等实现高精度监测。计算采用 COMSOL、Ansys等软件结合高性能计算集群,搭配实验校验,误差≤8%,含材料、电压等基础参数,磁场、电场等场参数及时间、载荷等工况参数,需专业软件打开且完全共享。质量控制通过商软调整网格尺寸、多场景建模实现,数据加工涉及重庆大学等单位,项目负责人承诺数据符合《科学数据管理办法》等规范。

This dataset collection focuses on 20 datasets of typical multi-physics mechanism models for power equipment, covering multi-physics coupling and specialized models related to transformers, bridge arm reactors, bushings, and basin insulators. The research period spans from November 2021 to December 2023. The temporal accuracy is classified into two levels based on simulation targets: millisecond/microsecond level for transient processes, and second/minute level for steady-state analysis. Spatially, the dataset covers the full-scale three-dimensional structures of the target equipment, with high-precision monitoring realized through millimeter-grid simulations and fiber Bragg grating sensors, among other means. Calculations are conducted using commercial software such as COMSOL and Ansys, combined with high-performance computing clusters, and validated via experiments, with the maximum error rate not exceeding 8%. The dataset includes basic parameters such as materials and voltage, field parameters like magnetic field and electric field, as well as operating condition parameters including time and load. It can only be opened with professional software and is fully shared. Quality control is achieved by adjusting grid sizes via commercial software and building multi-scenario models. Data processing was undertaken by institutions including Chongqing University. The project leader guarantees that the dataset complies with relevant regulations such as the *Measures for the Management of Scientific Data*.

提供机构:
重庆大学
搜集汇总
数据集介绍
典型电力装备多物理场机理模型库数据集 数据集图片
背景与挑战
背景概述
该数据集围绕20个典型电力装备的多物理场机理模型构建,涵盖变压器、桥臂电抗器、套管和盆式绝缘子等设备,研究周期为2021年11月至2023年12月。它采用COMSOL、Ansys等软件结合高性能计算集群进行仿真,误差控制在8%以内,数据量达132.06GB,包含3820个文件,由重庆大学等单位加工并遵循相关科学数据管理规范。
以上内容由遇见数据集搜集并总结生成
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