轨道交通智慧运维多专业融合评估模型数据集

一、数据加工处理流程：从前端接收涵盖车辆系统、信号系统、制动系统、辅助系统、蓄电池系统、牵引系统、能耗系统、网络系统、空调系统、状态感知系统采集的超300万余条的原始数据，将原始数据解析成转换成计算机可识别的格式。通过建立轨道交通智慧运维健康评估模型和巡检模型，自动对原始数据进行清洗、标准、标注、关联等操作，并通过交叉验证、异常检测等方法确保数据质量满足六性要求。最后，按照数据分析模型多维度进行数据库设计，并将加工处理的数据保存到数据库中，确保数据的可访问性。
二、为保障数据模型能够实现自动运算和预测预警功能，制定了数据阈值，以阈值控制数据状态和有效性，经健康评估模型和巡检模型逻辑运算后，将运算结果和触发信号存储至数据库中。
部分数据阈值规则如下所示：（1）整流变压器温度差值1小于15℃；（2）整流变211馈线柜输出A相电压：18.18kV-22.2kV；（3）直流进线302母线电压：1000V至1800V；（4）801母线电压：372V-428V；（5）整流变室湿度＞80%；（6）整流变室温度＞35℃；（7）电缆夹层氧气含量＞18%。

1. Data Processing Workflow: Receive over 3 million raw data records collected from ten subsystems including vehicle system, signal system, brake system, auxiliary system, battery system, traction system, energy consumption system, network system, air conditioning system and condition awareness system via the front end, then parse and convert the raw data into computer-readable formats. Establish rail transit intelligent operation and maintenance health assessment models and inspection models, automatically conduct cleaning, standardization, annotation, association and other preprocessing operations on the raw data, and ensure the data quality meets the six specified quality requirements through cross-validation, anomaly detection and other methods. Finally, design the database in multiple dimensions based on the data analysis models, and store the processed data into the database to ensure data accessibility.
2. To enable the data models to realize automatic operation and predictive early warning functions, data thresholds are formulated to regulate the data state and validity. After logical operation via the health assessment and inspection models, the operation results and trigger signals are stored in the database.
Some data threshold rules are listed as follows:
(1) The temperature difference of rectifier transformer No.1 is less than 15℃;
(2) Output phase A voltage of rectifier transformer 211 feeder cabinet: 18.18kV – 22.2kV;
(3) DC incoming line 302 bus voltage: 1000V to 1800V;
(4) 801 bus voltage: 372V – 428V;
(5) Humidity in rectifier transformer room > 80%;
(6) Temperature in rectifier transformer room > 35℃;
(7) Oxygen content in cable interlayer > 18%.

搜集汇总

数据集介绍

特点

该数据集为轨道交通智慧运维多专业融合评估模型数据集，包含21884条数据，适用于轨道交通多专业系统的健康评估、能耗评估、智慧巡检评估和故障预测。数据集通过自动采集和加工处理，建立了轨道交通系统健康评估和智慧巡检模型，能够实现多维度多模态的智慧运维数据分析、故障诊断、故障预测等功能。