Mountain natural disaster monitoring and early warning system and method based on LoRa and NB-IoT

By using LoRa and NB-IoT technology in natural disaster monitoring and early warning systems, the shortcomings of the existing technology in coverage breadth, monitoring density and accuracy, power consumption and cost are solved, and a wider, more dense and more accurate natural disaster monitoring and early warning are achieved.

CN119763277APending Publication Date: 2025-04-04HEYUAN POLYTECHNIC
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Patent Information

Application Number
CN202411801534.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

In the prior art, ZigBee technology is used to build perception layer networks and 3G/4G technology as transmission layer networks, resulting in the lack of advantages in natural disaster monitoring and early warning systems in terms of coverage breadth, monitoring density and accuracy, power consumption and cost.

Method used

The combination of LoRa and NB-IoT technology is used to build a natural disaster monitoring and early warning system in mountainous areas. The perception module collects monitoring data in real time, and conducts protocol conversion and transmission through the terminal control module and the gateway control module. Finally, it is transmitted to the application analysis module through the NB-IoT network for risk analysis and disaster warning.

Benefits of technology

A wider coverage, higher monitoring density and accuracy are achieved, while reducing power consumption and cost, effectively solving the shortcomings of the existing technology in these aspects.

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Abstract

The present invention discloses a natural disaster monitoring and early warning system and method in mountainous areas based on LoRa and NB-IoT. In the technical solution of the present invention, when performing risk analysis and disaster early warning, the perception module collects the first monitoring data in real time, and transmits the collected first monitoring data to the terminal control module, the terminal control module performs edge processing and protocol conversion on the first monitoring data to obtain the second monitoring data, and uses LoRa to transmit the second monitoring data to the gateway control module; thereafter, the gateway control module performs protocol conversion on the received second monitoring data to obtain the third monitoring data, and the third monitoring data is transmitted to the application analysis module through the NB-IoT network for risk analysis and disaster early warning, and the combination of LoRa and NB-IoT makes the coverage of the natural disaster monitoring and early warning system wider and the number of terminal device connections more, while reducing power consumption and cost, effectively realizing wide coverage, high density and high precision natural disaster monitoring and early warning.
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