Network Collapse Disaster Monitoring and Early Warning System

Abstract

The invention relates to a network-type collapse disaster monitoring and early warning system, which includes four components: a measurement unit, a control unit, a power unit, and a user unit. The acquisition module in the control unit receives sound related to slope collapse and deformation monitored by the measurement unit. The force data is transmitted to the user unit through the data transmission module. At the same time, the early warning threshold can also be set in the control unit. When the alarm condition is met, the alarm information is directly sent to the user unit to realize real-time monitoring and early warning. The invention has a simple structure, all parts used are commonly used electronic components, has low cost and high efficiency, and can be widely used in monitoring geological disasters of side slope collapse.

Description

Technical field [0001] The invention relates to a novel network-type collapse disaster monitoring and early warning system, which realizes real-time monitoring and danger alarm for the sound and force generated by the deformation of dangerous rock mass. Background technique [0002] my country is a country with frequent geological disasters. In recent years, landslides and rockfall disasters have become increasingly serious. Quite a few areas are threatened by landslides and rockfalls, which hinder the progress of engineering construction and cause huge economic losses and casualties. Harm to the ecological environment. [0003] Collapse is a sudden and sharp dynamic geological phenomenon that is common on steep slopes. It moves fast, has large damage energy, and the time of occurrence is difficult to predict. Real-time early warning can be realized through long-term monitoring of the deformation characteristics of the prone to collapse rock mass , is an effective measure to...

AI Technical Summary

Problems solved by technology

[0003] Collapse is a sudden and sharp dynamic geological phenomenon that is common on steep slopes. It moves fast, has large damage energy, and the time of occurrence is difficult to predict. Real-time early warning can be realized through long-term monitoring of the deformation characteristics of the prone to collapse rock mass , is an effective measure to reduce the hazards of collapse. However, the real-time performance of purely manual on-site monitoring is poor, and it is difficult to guarantee the safety of the monitoring personnel themselves; traditional sensors have a small monitoring range and can only reflect a little nearby information. The layout is expensive, therefore, it is necessary to develop an economical and practical monitoring and early warning equipment that is unattended, has a wide monitoring range, and can obtain deformation data in real time

Images