Wireless low-power-consumption sensor network system for geological disaster early warning and using method thereof

Abstract

The invention relates to an alarm for responding to disaster events, in particular to a wireless low-power-consumption sensor network system for geological disaster early warning and a using method thereof. The wireless low-power-consumption sensing network system for geological disaster early warning comprises a wireless monitoring point (1) and is characterized by further comprising an early warning point (2) and a monitoring cloud (3), wherein the wireless monitoring point (1) comprises a sensor (11), a detection circuit (12), a microprocessor (13), a wireless communication module (14) anda power source (15); the early warning point (2) comprises a remote terminal unit (21), an early warning indication device (22) and an uninterruptible power supply (23); and each wireless communication module (14) is wirelessly connected with the remote terminal unit (21) or the monitoring cloud (3) of the early warning point (2), and the remote terminal unit (21) is wirelessly connected with themonitoring cloud (3). The wireless low-power-consumption sensor network system is high in environmental adaptability, reduces the system cost, and is high in monitoring automation degree.

Description

technical field [0001] The invention relates to an alarm responding to disaster events, in particular to a wireless low-power sensor network system for early warning of geological disasters and a method for using the same. Background technique [0002] my country is a country with a high incidence of geological disasters, including landslides, collapses, mudslides and other disasters that cause huge economic and human losses every year. In recent years, with the investment of the state and enterprises, automated monitoring technology has gradually played an increasingly important role in disaster prevention and control, including monitoring items such as rainfall, cracks, and mountain deformation, making disaster prediction possible. Generally, these instruments are powered by the solar system, and then converged to the on-site remote terminal unit (Remote Terminal Unit, RTU for short) by cable, and then transmitted to the corresponding disaster monitoring platform through t...

AI Technical Summary

Problems solved by technology

[0003] However, many disaster-prone areas have poor lighting conditions throughout the year, and there is often a long period of precipitation before the disaster, and the solar system is prone to power feeding, which will cause the instrument to fail to work

At the same time, if solar cells are equipped according to extreme continuous rainfall conditions, the cost will be greatly increased, making the automatic monitoring scheme unable to be promoted in a large area

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