秭归紫昕智慧停车数据集

内部：通过车牌识别摄像机记录车牌、类型、入场时间，地磁传感器实时监测占用状态与停放时长，道闸、充电桩、照明系统等设备的运行状态通过物联网模块实时上传，包括设备开关状态、故障代码等。经计算校验确保数据精准性​。外部：对接交警数据、停车场/位数据，支付信息、其他服务商等第三方对接数据。遵循安全合规要求（脱敏存储、加密传输、分级权限），提升车位周转率、降低运营成本，支撑智慧交通决策、车主服务及政府监管。

Internal: License plate recognition cameras are used to record license plate numbers, vehicle types and entry times. Magnetic sensors monitor the occupancy status and parking duration in real time. The operating status of equipment such as barrier gates, electric vehicle charging stations and lighting systems is uploaded in real time via IoT modules, including equipment switch states and fault codes. Calculation and verification are performed to ensure data accuracy.
External: Data is docked with traffic police data, parking lot/space data, payment information and data from other third-party service providers. It complies with security and compliance requirements (desensitized storage, encrypted transmission and hierarchical permissions) to improve parking space turnover rate, reduce operating costs, and support smart transportation decision-making, vehicle owner services and government supervision.

搜集汇总

背景与挑战

背景概述

该数据集是一个智慧停车领域的结构化数据集，包含1820万条记录，每日更新，由企业通过内部传感器和外部第三方数据采集而成，覆盖停车场标识、车辆信息、时间戳和状态等关键字段。它主要用于分析停车行为和流量趋势，以优化停车资源配置、提升运营效率，并支持个性化服务和政府监管决策。数据集在采集、存储和处理过程中遵循严格的安全合规标准，包括数据脱敏和加密措施，确保数据质量和隐私保护。