The invention relates to the technical field of cloud-side cooperation, and discloses an intelligent traffic scheduling optimization system based on cloud-side cooperative computing, which comprises a side end monitoring module and a cloud end analysis module. The system is in network connection with a plurality of edge processing devices through a cloud management center, each edge processing device is provided with a camera device and an edge monitoring module, and after real-time traffic images are obtained, the edge monitoring modules generate feature data sets through CNN algorithm model analysis and transmit the feature data sets to the cloud management center through a network. The cloud management center is provided with a cloud analysis module, records a receiving time point, calculates a standard signal transmission time length, determines a measurement standard of data transmission quality of each side end processing device, judges the collaboration degree of the cloud end and the side ends, efficiently manages cloud side data, is high in interaction accuracy, and calculates and generates a traffic flow index Llzs. And a management report is correspondingly generated after comparison with a traffic flow index threshold, and the cloud-side collaborative scheduling optimization effect is good.
本发明涉及云边协同技术领域,且公开了一种基于云‑边协同计算的智慧交通调度优化系统,包括边端监测模块和云端分析模块。该系统通过云端管理中心网络连接多个边端处理设备,且每个边端处理设备设置有摄像装置和边端监测模块,获取实时交通影像后,边端监测模块通过CNN算法模型分析生成特征数据组,并通过网络传输至云端管理中心,云端管理中心设置有云端分析模块,记录接收时间点并计算出标准信号传输时长,明确每个边端处理设备数据传输质量的衡量标准,判断云端和边端的协同程度,高效管理云边数据交互精准度高,协同分析单元计算生成交通流量指数Llzs,对比交通流量指数阈值后对应生成管理报告,云边协同调度优化效果佳。
Intelligent traffic scheduling optimization system based on cloud-side cooperative computing
基于云-边协同计算的智慧交通调度优化系统
2024-09-27
Patent
Electronic Resource
Chinese
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