Intelligent beekeeping monitoring and alarming system and method based on Internet of Things

Abstract

The invention discloses an intelligent beekeeping monitoring and alarming system and method based on the Internet of Things. The system comprises an intelligent tray, a tray monitoring system, an LPWAN network server, an intelligent beekeeping cloud platform and a user terminal, the tray monitoring system comprises an intelligent tray, a temperature sensor and a humidity sensor, and the intelligent tray is provided with a pressure sensor for weighing; the 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 an LORA communication module. The tray monitoring system, the LPWAN network server, the intelligent beekeeping cloud platform and the user terminal are innetwork interactive connection in sequence. The tray monitoring system monitors the internal environment of a bee barrel and uploads the internal environment to the intelligent beekeeping cloud platform, and the intelligent beekeeping cloud platform performs data analysis and early warning judgment and issues the judgment result to the user terminal, so that beekeeping data management and early warning prompt can be remotely realized.

Description

technical field [0001] The invention relates to the field of alarm and monitoring of the internal environment of beehives, in particular to an intelligent beekeeping monitoring and alarm system and method 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 bee breeding industry generally relies on artificial observation of the beehive environment. Since the bees are concentrated in the beehive, it is especially necessary to manually measure the temperature and humidity in the beehive, because the temperature and humidity will affect the growth of the bees, and also affect the quality of ho...

AI Technical Summary

Problems solved by technology

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

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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