车辆进出管理数据库结构数据集

1.数据采集：从车库管理系统采集车辆单次通行的基本信息，包括：车牌号、识别车牌、凭据号码、车主姓名、凭据类型、进出时间、进出地点、车牌类型、车型、放行类型、放行渠道、操作人员； 2.数据处理：1）以“车牌号+进出时间”为组合键构建唯一索引，通过该索引关联同一车辆的多次进出记录；2）对字段执行格式标准化：将原始时间戳转换为“YYYY-MM-DDHH:MM:SS”格式，将自由录入的进出地点映射为预设枚举值，统一文本字段的格式规范；3）对缺失车牌号的记录标记“待核实”状态，将异常时间的记录归集至临时异常池，保留核心字段的有效性；4）形成包含标准化通行记录、车辆轨迹关联数据及异常待核数据的关联数据集合。 3.数据应用：支撑车库系统的实时存储、历史记录查询与轨迹回溯，同时作为车辆管理类应用的底层数据底座，实现多场景的数据调用。1. Data Collection: Basic information of single vehicle passage is collected from the garage management system, including license plate number, recognized license plate, credential number, owner name, credential type, entry and exit time, entry and exit location, license plate type, vehicle type, release type, release channel, and operating personnel; 2. Data Processing: 1) Construct a unique index with "license plate number + entry and exit time" as the composite key, and associate multiple entry and exit records of the same vehicle via this index; 2) Conduct format standardization on fields: convert the original timestamp to the format of "YYYY-MM-DD HH:MM:SS", map freely entered entry and exit locations to preset enumerated values, and unify the format specifications of text fields; 3) Mark records with missing license plate numbers with the status of "to be verified", aggregate records with abnormal timestamps into a temporary exception pool, and retain the validity of core fields; 4) Form a correlated data set containing standardized passage records, vehicle trajectory associated data, and abnormal data to be verified. 3. Data Application: Support real-time storage, historical record query and trajectory traceback for the garage system, and meanwhile serve as the underlying data foundation for vehicle management applications to realize data calls across multiple scenarios.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于车辆进出管理的数据库结构，数据规模为19.4MB，每天更新，适用于企业或园区车库的日常通行管理、车辆轨迹核查和运营流程优化等场景。它通过采集车辆通行基本信息（如车牌号、进出时间等），并进行标准化处理和关联索引构建，支撑车库系统的实时存储、历史查询和多场景数据调用。