Livestock positioning and forest grassland fire prevention monitoring system based on LoRa technology

Abstract

The invention discloses a livestock positioning and forest grassland fire prevention monitoring system based on LoRa technology, and belongs to the technical field of information. The system is composed of a positioning node, a monitoring node, receivers, an access gateway, a cloud data system and a mobile terminal, wherein both the positioning node and the monitoring node send data to the receivers through the LoRa link; the access gateway periodically queries the status of each receiver, isolates the failed receivers and reports the status information thereof, simultaneously enables backup receivers and connects the same to the system, and uploads the record to the cloud data system; and the mobile terminal acquires corresponding data from the cloud data system according to the user request, and displays the data through the screen. The invention has the advantages of low construction, operation and maintenance cost, high robustness and good human-computer interaction experience.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a production information management system, in particular to a LoRa technology-based livestock positioning and forest and grassland fire prevention monitoring system. Background technique [0002] In the traditional animal husbandry production management system, ear tags or collars are often used on livestock, positioning through the Global Positioning System (GPS), and data transmission through cellular mobile networks to prevent herds from dispersing and realize rotation grazing. In this way, on the one hand, the device consumes a lot of power, and the battery of the ear tag or collar needs to be replaced frequently, and the maintenance work is more complicated; The degree of modernization is low, and there is still much room for improvement. [0003] In forestry production, fire monitoring and early warning is of great significance, and the existing technology is often rea...

AI Technical Summary

Problems solved by technology

However, grasslands or forest farms often have a large area, and the manpower inspection cycle is long and the response speed is slow, so it is difficult to meet the requirements of rapid fire warning.

The fixed-point video surveillance system composed of cameras and supporting data transmission systems is limited by the characteristics of video recognition technology, and it is difficult to early warn of large-scale fires, and the power supply requirements are relatively high. Generally, corresponding power supply systems or photovoltaic systems are required. Power generation devices, resulting in high cost and difficulty in large-scale and large-scale configuration

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