泊客停车龙泉市各路段整点泊位占用率数据

将汽车泊位统一智慧管理，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和繁忙情况，有助于城市规划单位和交通管理部门了解不同路段、车位的停车时长的分布和繁忙情况，有利于优化停车位的布局，在忙碌路段为车主提供更多实时的停车空位及信息，提高停车效率。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。泊位车辆驶入则泊位状态更新为占用，泊位车辆驶出则泊位状态更新为空闲，每个整点后端系统将快照每个路段泊位空闲状态，根据该路段总泊位数计算路段整点泊位占用率，计算公式[(总泊位数-空闲泊位数)/总泊位数]，最后将省份、城市、路段、总共车位数、空闲车位数、快照时间点、每小时泊位占用率、日期以月度持久化存储。

For unified intelligent management of vehicle parking spaces: when a vehicle enters or exits a parking space, the magnetic parking space detector accurately captures changes in the parking space status and immediately determines whether the space is occupied. The data is then transmitted in real time to the cloud processing platform via the Narrow Band Internet of Things (NB-IoT) network. Upon receiving the data, the cloud platform parses it, retrieves the mapping relationship between devices and parking spaces, matches and identifies the specific parking space number and the details of the road section it belongs to, and updates the parking space status and occupancy conditions based on the uploaded data. This enables urban planning authorities and traffic management departments to grasp the distribution of parking durations and occupancy statuses across different road sections and parking spaces, supporting the optimization of parking space layout. It also provides real-time information about available parking spaces in congested road sections for vehicle owners, thereby improving parking efficiency.

For each vehicle entry or exit event at a parking space, the magnetic parking space detector again accurately captures the status change and immediately judges the occupancy status, before transmitting the data to the cloud processing platform in real time via the NB-IoT network. Upon data reception, the cloud platform parses the data, queries the device-parking space mapping relationship, matches and identifies the specific parking space number and its affiliated road section details, and updates the parking space status per the uploaded data: the space is marked as occupied when a vehicle enters, and as vacant when a vehicle exits. On every hour, the backend system takes a snapshot of the vacant parking space status for each road section, and calculates the hourly parking space occupancy rate for the road section using the formula: [(Total parking spaces - Vacant parking spaces) / Total parking spaces]. Finally, data including province, city, road section, total parking spaces, vacant parking spaces, snapshot timestamp, hourly parking space occupancy rate and date is persistently stored on a monthly basis.