Debris flow disaster early monitoring system based on internet of things

Abstract

The invention discloses a debris flow disaster early monitoring system based on the internet of things. The debris flow disaster early monitoring system comprises an internet of things cloud server and a weather center connected with the cloud server through communication. The cloud server is connected with a wireless sensor network through communication. The wireless senor network comprises network nodes, a soil moisture sensor, a soil inner pressure sensor and a locating device. Data detected by the soil moisture sensor, data detected by the soil inner pressure sensor and data detected by the locating device are respectively transmitted to the cloud server though the network nodes. The wireless sensor network is laid in the zone with the requirements for debris flow disaster monitoring, soil is detected through the soil moisture sensor and the soil inner pressure sensor in the wireless sensor network, movement displacement of soil is detected by the locating device, weather data, collected by the weather center, of the surroundings are combined, calculation and simulation of the cloud processor are conducted, therefore, the purposes that a debris flow disaster is monitored in real time and the accuracy is high are achieved.

Description

technical field [0001] The invention relates to the field of mud-rock flow detection, in particular to a mud-rock flow disaster monitoring system based on the Internet of Things. Background technique [0002] At present, the emergence of the Internet of Things has realized the interconnection between hundreds of millions of items around the world, and closely related physical entities in different industries, different regions, different applications, and different fields according to their intrinsic relationships. As a brand-new comprehensive information system, the Internet of Things is not simple, it includes information perception, transmission, processing decision-making, service and other aspects, showing its own remarkable characteristics; the Internet of Things is a huge network composed of clouds , with the large-scale deployment of sensor networks, various terminals are distributed to various infrastructures to collect information like a blue ocean, and these infor...

AI Technical Summary

Problems solved by technology

[0021] To sum up, the existing debris flow monitoring and early warning devices and systems have the following disadvantages: the monitoring equipment is single and fixed, the system lacks unified data management and sharing, cannot manage massive data, and the accuracy and reliability of monitoring data are not high enough. Poor real-time performance, high equipment cost, etc.

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