危险品运输路面环境及车辆状态数据库

危险品运输路面环境及车辆状态数据库可实现基于监控摄像机对隧道桥梁的路面信息、隧道状态信息和车辆信息以及积水、障碍物、火灾、隧道开裂、隧道脱皮、车辆类型、速度等子数据库的查询，查询所得数据包括：检测异常识别率、异常发生的时间、通道位置、告警图片（告警图片所在服务器的路径）、告警类型，其中检测异常识别率不低于90%。数据量200MB

This database for road environment and vehicle status during dangerous goods transportation enables queries on sub-databases including tunnel and bridge road surface information, tunnel status information, vehicle information, as well as water accumulation, obstacles, fires, tunnel cracks, tunnel spalling, vehicle type, speed and other related categories, based on surveillance cameras. The queried data includes: abnormal detection recognition rate, time of anomaly occurrence, channel position, alarm images (server path where the alarm images are stored), and alarm type. The abnormal detection recognition rate is no less than 90%. The total data volume of the database is 200 MB.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于危险品运输监控的数据库，通过监控摄像机采集隧道桥梁的路面环境、隧道状态和车辆信息，涵盖积水、障碍物、火灾等多种异常检测子类，查询结果包括异常识别率、时间、位置和告警图片，识别率不低于90%。数据规模为200MB，包含20万个文件，源自国家重点研发计划项目，旨在支持危险品运输过程的安全保障技术研究。