松阳县泊位日平均有效停车时间管理分析数据

车辆驶入与驶离停车位时，地磁车位检测器精确捕捉车位状态的变化，即时判定车位占用与否。随后通过NB-IoT网络实时传输至云端处理平台。云平台接收到数据解析并查找设备与停车位映射关系，匹配并识别出具体车位编号及其所属路段详情，根据上传数据更新停车位状态。泊位车辆驶入则开始计时，驶出则结束计时并计算停车时长，若停车时长超过免费时间则有效停车次数+1、有效停车时长累加，然后计算平均有效停车时长，计算公式（有效停车时长/有效停车次数），最后将省份、城市、路段、区域、有效停车次数、有效停车时长、平均有效停车时长以年度持久化存储。

When a vehicle drives into or exits a parking space, the geomagnetic parking space detector accurately captures the change in the parking space's status and immediately determines whether the space is occupied. The data is then transmitted to the cloud processing platform in real time via the NB-IoT network. Upon receiving the data, the cloud platform parses it, queries the mapping relationship between devices and parking spaces, matches and identifies the specific parking space number and the details of the corresponding road section, and updates the parking space status based on the uploaded data. When a vehicle enters the parking space, timing commences; when the vehicle departs, timing stops and the parking duration is calculated. If the parking duration exceeds the free parking period, the number of valid parking instances increases by 1, and the total valid parking duration accumulates. The average valid parking duration is then calculated using the formula: Average Valid Parking Duration = Total Valid Parking Duration / Number of Valid Parking Instances. Finally, the province, city, road section, region, number of valid parking instances, total valid parking duration, and average valid parking duration are persistently stored on an annual basis.

搜集汇总

背景与挑战

背景概述

该数据集通过地磁车位检测器和NB-IoT网络实时监控停车位状态，计算有效停车次数和时长，并年度持久化存储。应用场景包括智慧停车、城市规划等，具有显著的社会和经济效益。