中科冠化工园区高清实拍视频数据数据集

本数据集主要应用于中科冠化工园区安全生产与重大风险防控场景，服务于园区级视频巡检、风险识别、违规行为监测及安全事件事后追溯等管理需求。化工园区具有空间范围大、装置分布密集、危险作业点多等特点，单纯依赖传感器数据难以全面反映现场实际状态。高清实拍视频作为直观反映园区现场情况的重要数据来源，在安全管理中具有不可替代的作用。通过对园区重点区域的高清视频进行持续采集和集中管理，并结合视频分析与风险识别算法，本数据集可用于识别人员违规进入、设备异常状态、液体泄漏迹象及异常明火等安全风险。在实际应用中，该数据集可作为安全防控系统的重要补充数据源，与传感器监测数据形成互补，为园区安全巡检、风险预警及事故调查提供可靠的视频数据支撑。

This dataset is mainly applied to the safe production and major risk prevention and control scenarios of Zhongguanguan Chemical Industrial Park, serving the management needs including park-level video inspection, risk identification, violation behavior monitoring, post-incident traceability of safety incidents and other work requirements. Chemical industrial parks are characterized by large spatial scope, dense distribution of facilities and numerous hazardous operation points. Simply relying on sensor data can hardly fully reflect the actual on-site conditions. High-definition real-shot videos, as an important data source that intuitively reflects the on-site situation of the park, play an irreplaceable role in safety management. By continuously collecting and centrally managing high-definition videos of key areas in the park, and combining with video analysis and risk identification algorithms, this dataset can be used to identify safety risks such as unauthorized personnel entry, abnormal equipment status, signs of liquid leakage and abnormal open flames. In practical applications, this dataset can serve as an important supplementary data source for safety prevention and control systems, complementing sensor monitoring data, and providing reliable video data support for park safety inspections, risk early warning and accident investigation.

搜集汇总

背景与挑战

背景概述

该数据集由江西中科冠物联网科技有限公司申请，专注于化工园区安全生产与重大风险防控场景，包含高清实拍视频数据，通过算法识别和人工标注转化为结构化格式（XLSX），用于视频巡检、风险识别和违规行为监测。数据集已进行数据知识产权登记，有效期至2031年，为园区安全管理提供可靠的视频数据支撑和分析基础。