The invention relates to a knowledge-driven cloud edge collaborative traffic data acquisition method and system. The method comprises the following steps that S1, a traffic data acquisition knowledge base isconstructed; S2, traffic event information and road condition passenger flow information are obtained; S3, knowledge reasoning is performed according to the traffic data acquisition knowledge base, the traffic event information data and the road condition passenger flow data, and the traffic situation is graded; S4, the cloud node generates a data acquisition strategy according to the traffic situation, and each edge node receives the strategy and executes an acquisition task; S5, the cloud node monitors the health degree of the edge node and the task completion condition; S6, the cloud node receives the data uploaded by each edge node, and performs classified storage and fusion processing; and S7, the traffic data acquisition knowledge base is updated. According to the method provided by the invention, the edge node is responsible for data acquisition and filtering, the computing pressure and network load of the cloud node are reduced, and different data acquisition strategies are adopted according to the traffic situation level.
本发明涉及一种知识驱动的云边协同交通数据采集方法及系统,其方法包括:S1:构建交通数据采集知识库;S2:获取交通事件信息和路况客流信息;S3:根据交通数据采集知识库、交通事件信息数据和路况客流数据,进行知识推理,对交通态势进行分级;S4:云端节点根据交通态势生成数据采集策略,各个边缘节点接收该策略并执行采集任务;S5:云端节点要对边缘节点的健康度和任务完成情况进行监测;S6:云端节点接收各个边缘节点上传的数据,进行分类存储和融合处理;S7:对交通数据采集知识库进行更新。本发明提供的方法,由边缘节点负责数据的采集和过滤,减轻了云端节点的计算压力和网络负载,根据交通态势级别采取不同数据采集策略。
Knowledge-driven cloud edge collaborative traffic data acquisition method and system
一种知识驱动的云边协同交通数据采集方法及系统
2021-12-14
Patent
Elektronische Ressource
Chinesisch
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