基于物联网的滑坡自动远程监测预警系统设计

Design of automatic remote monitoring system for landslide based on Internet of things

针对滑坡预警的世界难题,提出了一种基于物联网(IOT)的分布式数据实时采集模型,并根据数据量巨大的问题,建立了最优BP神经网络的预测模型。在滑坡实验台上进行了验证,实验表明:该算法具有计算量小,预测效果稳定的特点。

Aiming at the world recognized problem of landslide forecast, a distributed real-time data acquisition model based on the Internet of things （IOT） is proposed, and according to huge amount of data, establish an optimal BP neural network model for early prediction of landside. Verify it on landslide testbed, and experiments show that the algorithm has small amount of calculation and stable prediction effect.