Intelligent beekeeping monitoring, analyzing and managing system based on Internet of Things

Abstract

The invention discloses an intelligent beekeeping monitoring analysis management system based on the Internet of Things, and the system comprises a bee barrel; the bee barrel comprises a bee barrel body and an intelligent tray monitoring system, and the intelligent tray monitoring system comprises a power supply module, a memory, a temperature and humidity monitoring module, a weight monitoring module, a mode switching module, a display screen and a communication antenna. The intelligent tray monitoring system of the bee barrel, the LPWAN data concentrator, the LPWAN network server, the intelligent bee-keeping cloud platform server and the user terminal are in network interactive connection in sequence. The intelligent bee-keeping cloud platform server comprises a display module, a bee barrel data retention module, a bee barrel abnormality alarm module, a data analysis model processing module, a multi-dimensional analysis processing module and a user management module. The intelligenttray monitoring system monitors the internal environment of the bee barrel and uploads the internal environment of the bee barrel to the intelligent bee-keeping cloud platform server, communication interaction, early warning prompt, result display, multi-dimensional display and the like can be achieved, and scientific bee breeding and teaching research are facilitated.

Description

technical field [0001] The invention relates to the field of bee bucket network monitoring, in particular to an intelligent beekeeping monitoring, analysis and management system based on the Internet of Things. Background technique [0002] Bee breeding is an important agricultural production that affects the national economy. Bees can pollinate plants, maintain the diversity of plant species, and at the same time improve the yield and quality of crops; at the same time, bees can also provide honey, propolis, royal jelly and other products. Provide basic raw materials for industrial and civil products. The existing beekeeping industry generally relies on artificial observation of the bee barrel environment. Since the bees are concentrated in the bee barrel, it is especially necessary to manually measure the temperature and humidity in the bee barrel, because temperature and humidity will affect the growth of bees and also affect the growth of bees. The quality and yield of ...

AI Technical Summary

Problems solved by technology

The existing beekeeping industry generally relies on artificial observation of the bee barrel environment. Since the bees are concentrated in the bee barrel, it is especially necessary to manually measure the temperature and humidity in the bee barrel, because temperature and humidity will affect the growth of bees and also affect the growth of bees. The quality and yield of honey, and because the environment in the beehive will change from time to time, the traditional method only relies on manual temperature and humidity monitoring, which is labor-intensive, that is, it takes a lot of time to manage and care whether it is flowering season or not Beekeepers live in simple rooms next to the beehives

The traditional method is to take the beehive tray out of the beehive, and judge the artificial temperature and humidity and shake the honey time, which will affect the honey bee production.

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