基于神经网络的物联网设备环境监测技术研究

摘要

The parameters of smog,water logging,temperature and humidity in the equipment working environment are col?lected and processed by means of the related technical methods based on Internet of Things(IOT),and analyzed by means of BP neural network to evaluate the equipment working environment. The simulation results show that the method proposed in this paper can monitor the environmental parameters effectively and issue an early warning according to the parameters,and let the system users understand the status of the current environment explicitly.%通过物联网的相关技术方法对设备工作环境中的烟雾、水浸、温度和湿度四个参数进行采集和处理，再经过BP神经网络的分析对设备工作的环境情况进行评价。仿真结果表明，采用该方法可以对环境参数进行有效的监控和预警，使得系统的使用者可以清楚明确地了解到当前环境的状态。