广东省特检院站场（阀室）内压力管道焊缝缺陷安全评定数据集
收藏资源简介：
本数据集聚焦于站场（阀室）内压力管道焊缝缺陷的安全评定，旨在为油气输送领域中压力管道的安全运维提供标准化、结构化的缺陷特征与评定结果数据支撑。数据集覆盖从设备基础信息到缺陷细节特征，再到特定场景下的安全评定结果的全链条数据，具体包含以下核心字段： 设备基础信息：设备种类、设备类别、设备品种、使用单位、设备所在站场（阀室）、设备投用时间；用于定位缺陷所属的具体资产与环境，关联设备全生命周期管理。 管道基础参数：管道外径、材质、设计压力、操作压力；用于反应管道的设计条件与运行状态，是缺陷安全评定的关键输入。 缺陷特征参数：焊缝编号、缺陷类型、缺陷位置、缺陷长度、深度、高度、宽度；用于量化描述缺陷的几何属性与空间分布，直接影响安全评定结论。 安全评定结果：安全评定标准、操作压力下结果、设计压力下结果；基于现行标准（如GB/T 19624等）对缺陷在不同工况下的安全性进行评估，是数据集的核心输出。
This dataset focuses on the safety assessment of defects in pressure pipeline welds within stations (valve chambers), aiming to provide standardized and structured data support including defect characteristics and assessment results for the safe operation and maintenance of pressure pipelines in the oil and gas transportation sector. This dataset covers full-chain data ranging from basic equipment information, detailed defect characteristics to safety assessment results under specific scenarios, and includes the following core fields: 1. Basic Equipment Information: Equipment type, equipment category, equipment variety, user unit, station (valve chamber) where the equipment is located, and commissioning time of the equipment; used to locate the specific asset and environment to which the defect belongs, and support the full life cycle management of the equipment. 2. Basic Pipeline Parameters: Pipeline outer diameter, material, design pressure, operating pressure; used to reflect the design conditions and operating status of the pipeline, which are key inputs for defect safety assessment. 3. Defect Characteristic Parameters: Weld number, defect type, defect location, defect length, depth, height, width; used to quantitatively describe the geometric attributes and spatial distribution of defects, which directly affect the safety assessment conclusions. 4. Safety Assessment Results: Safety assessment standards, results under operating pressure, results under design pressure; the safety of defects under different working conditions is evaluated based on current standards (such as GB/T 19624, etc.), which is the core output of this dataset.
