城市智慧停车平均时长分析数据

数据可用于查询城市内某路段泊位的平均停车时长情况，应用场景包括：政府决策分析、交通管理系统、停车运营单位管理数据查询等。1.数据采集：当车辆驶入或驶出停车位时，安装在此停车位上的地磁检测到磁场变化，判断有车还是无车，将判断后的数据通过NB-IoT实时传输到云平台，平台解析数据并根据数据库中存储的车位设备关系表，找到对应所属的车位编号，根据数据更新车位的状态。驶入则开始计时，驶出则结束计时并计算停车时长，之后对该路段的停车次数+1、停车时长累加，最后将数据存储到数据库中。2、数据处理：据该停车场的车位总数、总停车次数、停车时长、平均停车时长计算出该停车场的平均停车时长；平均停车时长=停车时长/总停车次数。

This dataset can be used to query the average parking duration of parking spaces on a designated road section within a city. Its applicable scenarios include government decision-making analysis, traffic management systems, data query for parking operation unit management, and other related fields.
1. Data Collection: When a vehicle enters or exits a parking space, the geomagnetic sensor installed on the parking space detects magnetic field changes to determine whether the space is occupied or vacant. The judged data is transmitted to the cloud platform in real time via NB-IoT. The platform parses the data, retrieves the corresponding parking space number based on the parking space-device relationship table stored in the database, and updates the parking space status. Timing starts when a vehicle enters the space, and stops when the vehicle exits, then the parking duration is calculated. Subsequently, the total number of parking times for this road section increases by 1, and the total parking duration is accumulated. Finally, the processed data is stored in the database.
2. Data Processing: Calculate the average parking duration of the parking lot based on its total number of parking spaces, total parking times, and total parking duration; the calculation formula is: Average Parking Duration = Total Parking Duration / Total Parking Times.