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为应对不同服务质量需求并提升智能电网通信的系统能力及可靠性,提出一种无线智能电表双路径维护基于因果树的认知技术.因果树通过定义智能电表程序中的度量和事件之间的因果关系,以实现有效推理.路径维护度量根据接收信号强度指标和数据包接收成功率明确了链路状态、链路质量、相应的动态转换等路由问题.基于信道和电磁干扰所做的物理实验用于评估该种无线智能电表的可靠性.
In order to meet different service quality requirements and enhance the system capability and reliability of smart grid communication, a wireless smart meter dual path maintenance cognitive technology based on a causal tree is proposed. The causal tree defines the relationship between metrics and events in a smart meter program Causal relationship in order to achieve effective reasoning.Path maintenance measures based on the received signal strength indicators and the success rate of packet reception to clear the link status, link quality, the corresponding dynamic conversion and other routing problems.According to channel and electromagnetic interference physics experiments Used to evaluate the reliability of this kind of wireless smart meter.