遇见数据集

港口作业热点与风险态势感知数据集

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数据集数据来源于 2023 年 3 月至 2024 年 12 月黄骅港散货码头作业区,采用 “多源采集 - 系统处理 - 融合生成” 的构建方法:设备参数通过 “系统导出 - 文档核对 - 现场校验” 三级联动采集,视频监控依托 “定点布控 + 移动跟随” 的 224 台高清摄像机全域覆盖,同步整合设备实时运行、作业调度、环境监测及历史安全数据,经清洗、标准化、多源融合后,通过 GIS 技术生成风险分布图。数据集由以下三个主要部分构成:1.主要设备参数信息表.xlsx:数据量约22KB,包含三个子表。2.散杂货及液化区域视频监控信息.xlsx::数据量约10KB,按监控区域和布点位置组织的文件。3.风险态势感知结果.jpg:以前端采集的视频流作为输入,利用计算机视觉与行为识别算法对作业区域进行实时分析,自动识别和提取人员、车辆、设备的密集活动区域(即热点区域),并结合设备运行状态,通过地理信息系统(GIS)技术绘制出港务公司风险分布图。

The dataset is sourced from the bulk cargo terminal operation area of Huanghua Port from March 2023 to December 2024. It is constructed using the "multi-source collection - system processing - fusion generation" methodology. For equipment parameter collection, a three-level linkage mechanism of "system export - document verification - on-site verification" is implemented. The video monitoring achieves full-region coverage with 224 high-definition cameras deployed in the mode of "fixed-point arrangement + mobile following". The dataset synchronously integrates real-time equipment operation data, operation scheduling data, environmental monitoring data and historical safety data. After data cleaning, standardization and multi-source fusion, the risk distribution map is generated via Geographic Information System (GIS) technology. The dataset consists of three main components: 1. "Main Equipment Parameter Information.xlsx": with a data volume of approximately 22KB, containing three sub-tables. 2. "Bulk Cargo and Liquefaction Area Video Monitoring Information.xlsx": with a data volume of approximately 10KB, organized by monitoring area and deployment location. 3. "Risk Situation Awareness Result.jpg": Taking the front-end collected video streams as input, it uses computer vision and behavior recognition algorithms to conduct real-time analysis of the operation area, automatically identifies and extracts dense activity areas (i.e., hotspots) of personnel, vehicles and equipment, and combines equipment operating status to draw the port company's risk distribution map through Geographic Information System (GIS) technology.

搜集汇总
数据集介绍
港口作业热点与风险态势感知数据集 数据集图片
背景与挑战
背景概述
该数据集基于2023年3月至2024年12月黄骅港散货码头作业区的多源数据,通过系统处理和融合方法构建,包含设备参数、视频监控信息及风险态势感知结果。它利用计算机视觉和GIS技术识别作业热点区域并生成风险分布图,总数据量为188.89KB,由4个文件组成。
以上内容由遇见数据集搜集并总结生成
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