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Debris flow disaster early warning system based on wireless sensor network

A wireless sensor network and wireless sensor technology, applied in the field of debris flow imminent disaster warning system based on wireless sensor network, can solve the problems of poor real-time monitoring, poor data reliability, and small application range, and achieve good real-time monitoring and wide application range Large, overcome the effect of small scope of application

Inactive Publication Date: 2014-01-15
LANZHOU UNIVERSITY +1
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Problems solved by technology

[0025] To sum up, in the process of realizing the present invention, the inventor found that there are at least defects such as small application range, low monitoring accuracy, poor data reliability and poor real-time monitoring in the prior art

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  • Debris flow disaster early warning system based on wireless sensor network
  • Debris flow disaster early warning system based on wireless sensor network
  • Debris flow disaster early warning system based on wireless sensor network

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Embodiment Construction

[0054] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0055] As a brand-new technology, the Internet of Things technology has raised many challenging research topics for people, and the monitoring and early warning of debris flow disaster is one of the crucial issues. In the major scientific and technological project of Gansu Province "Research and Demonstration Application of Key Technologies for Debris Flow Immediate Disaster Monitoring and Early Warning in Gansu Geological Disaster Prevention and Control Areas", based on the wireless sensor network technology of the Internet of Things, cloud storage, data fusion and autonomous computing are used to analyze key disasters. The monitoring area implements all-weather and...

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Abstract

The invention discloses a debris flow disaster early warning system based on a wireless sensor network. The early warning system comprises a wireless sensing network system which is used for collecting debris flow information, a monitoring center which is used for processing the collected debris flow information based on the wireless sensing network system, and a communication system which is used for the communication between the wireless sensing network system and the monitoring center. The debris flow disaster early warning system based on the wireless sensor network, which is provided by the invention, can overcome the defects of small application scope, low monitoring accuracy, poor data reliability, poor monitoring real-time and the like of the existing technology, and has the advantages of large application scope, high monitoring accuracy, high data reliability and good monitoring real-time.

Description

technical field [0001] The invention relates to the technical field of early warning system for debris flow, in particular to a wireless sensor network-based early warning system for debris flow. Background technique [0002] 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 ...

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Application Information

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IPC IPC(8): G08B21/10G08B25/10
Inventor 慕富强杨裔张晓徐茂文杜谨泽温斌斌邓毓博李彩虹李廉
Owner LANZHOU UNIVERSITY
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