The invention relates to the technical field of artificial intelligence and intelligent parking, in particular to a data processing method applied to artificial intelligence intelligent parking and a cloud server. Through application of the method, multiple iteration adjustment can be performed on the path updating track so that the congestion coefficients corresponding to the path updating track under different iteration times are considered, and thus real-time congestion changes in the intelligent parking lot can be considere, and the influnece of change of vehicle parking track caused by parking space adjustment on congestion of the intelligent parking lot can also be considered, thus the situation that the parking space dynamic adjustment data is separated from the actual operation condition of the smart parking lot can be avoided, and further it is ensured that the parking space dynamic adjustment data can be visually and accurately matched with the actual parking condition of the intelligent parking lot.
本申请涉及人工智能和智慧停车技术领域,具体而言,是关于应用于人工智能智慧停车的数据处理方法及云端服务器。通过应用该方法,能够对路径更新轨迹进行多次迭代调整,从而将不同迭代次数下的路径更新轨迹对应的拥挤系数进行考虑,这样一来,能够考虑智慧停车场内的实时拥堵变化,以及车位调整带来的车辆停放轨迹的变化而对智慧停车场拥堵带来的影响,从而能够避免车位动态调整数据脱离智慧停车场的实际运营情况,进一步确保车位动态调整数据能够直观、准确地与智慧停车场的实际停车情况进行匹配。
Data processing method applied to artificial intelligent parking and cloud server
应用于人工智能智慧停车的数据处理方法及云端服务器
2021-08-06
Patent
Electronic Resource
Chinese
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