枢纽级快件处理中心智能化综合集成应用示范数据集

本数据集服务于枢纽级快件处理中心智能化综合集成应用示范，依托顺丰上海浦江中转场与海口美兰中转场实际部署的分拣设备、安检系统、视频监控系统及仿真评估系统，持续采集并结构化存储各子系统的日级运行关键指标、异常事件日志及对应的处置策略，形成覆盖设备-系统-场景全链路的高质量过程数据资产，为平台能力验证与优化迭代提供实证依据。数据量1.74GB。

This dataset is tailored for the intelligent integrated application demonstration of hub-level express sorting centers. Relying on the sorting equipment, security inspection systems, video surveillance systems and simulation and evaluation systems actually deployed at SF Express's Shanghai Pujiang Transit Hub and Haikou Meilan Transit Hub, it continuously collects and structurally stores the daily key operating metrics, abnormal event logs and corresponding disposal strategies of each subsystem, forming high-quality process data assets covering the entire end-to-end chain of equipment, systems and scenarios, and providing empirical evidence for platform capability verification and iterative optimization. The total data volume is 1.74 GB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于枢纽级快件处理中心的智能化应用示范，基于顺丰两个实际中转场的部署系统，采集了分拣、安检、监控等子系统的日级运行指标和异常事件数据，形成全链路过程数据资产。数据量1.74GB，主要用于验证和优化智能平台能力，支撑相关关键技术研究。