数字化月台解决方案

一件商品从发件到签收，会经历收件、运输、中转、派件四个主环节，而月台的存在场景目前绝大部分都处于中转的环节，中转的物理场景可以大致分为分拨中心、物流园区、企业制造园区、仓储等，月台的存在就是在货物进入中转场地所经历的第一个场景（出入口除外），同时也承载着核对、记录、交接等业务。 大华数字化月台解决方案，通过前端相机对月台作业场景实时获取，通过边缘计算能力，实现对月台工作状态，月台工作车辆，作业时间及工人工作效率的智能识别，辅助客户实现月台利用效率分析、车辆运力资源分析及人员工作效率分析。 1、月台管理 月台状态实时展现，协助月台利用效率分析。 2、车辆管理 作业车辆状态获取，协助作业车辆作业车辆状态获取，协助作业车辆运力资源分析。 3、信息同步 月台状态联动叫号系统，协助园区调度运营。 4、安全作业 作业区域人员闯入检测，保障人员作业安全。

For a commodity, the process from dispatch to recipient signature goes through four core stages: goods receipt, transportation, transshipment and final delivery. Most existing loading dock scenarios are located in the transshipment stage. Physical transshipment sites can be roughly categorized into distribution centers, logistics parks, enterprise manufacturing parks, warehousing facilities and others. The loading dock is the first scenario (excluding entrances and exits) that goods go through when entering a transshipment site, and it also undertakes core businesses including cargo verification, recordkeeping and handover.

The Dahua Digital Loading Dock Solution captures real-time images of dock operation scenarios via front-end cameras, and leverages edge computing capabilities to intelligently recognize the working status of docks, operating vehicles, operation duration and staff work efficiency. This solution assists customers in conducting analysis of loading dock utilization efficiency, vehicle capacity resources and staff work efficiency.

1. Dock Management: Real-time visualization of dock status to support loading dock utilization efficiency analysis.
2. Vehicle Management: Acquire the status of operational vehicles to assist in vehicle capacity resource analysis.
3. Information Synchronization: Link dock status with the queuing calling system to facilitate park scheduling and operation management.
4. Safe Operations: Detect personnel intrusions in the operation area to ensure the safety of personnel during operations.

搜集汇总

背景与挑战

背景概述

该数据集名为'数字化月台解决方案'，由浙江大华技术股份有限公司提供，主要应用于工业制造领域，提供数据工具和数据服务。该解决方案通过前端相机和边缘计算能力，实现对月台工作状态、车辆运力资源和人员工作效率的智能识别，以提高货物中转效率和场地监管能力。