Wild animal monitoring system based on edge cloud intelligent architecture

Abstract

The invention discloses a wild animal monitoring system based on an edge cloud intelligent architecture, and the system comprises edge equipment which is used for the automatic collection and transmission of wild animal image data; wherein the edge equipment is deployed in a monitoring area, and the monitoring system is configured with a false triggering image pre-screening mechanism, a bidirectional data reliable transmission mechanism and an equipment remote control and software updating mechanism; and gateway equipment used for transmitting the image data acquired by all the edge equipment in the monitoring area to the data center; wherein the data center is used for storage management of wild animal image data and mining analysis of the data based on cloud computing; the invention has the beneficial effects that data transmission is carried out based on a wireless sensor network, so that the automation and intelligence levels of wild animal image acquisition equipment are improved; occupied equipment storage space is greatly reduced, power consumption of the whole network transmission system is reduced, the service cycle of the system is prolonged, and actual requirements of a wild animal image monitoring system are met.

Description

Technical field[0001]The present invention relates to the field of wildlife monitoring techniques, and more particularly to a wildlife monitoring system based on a side cloud intelligent architecture.Background technique[0002]Wildlife monitoring protection is an important part of the strategy of ecological civilization construction. Through the monitoring and analysis of the necessary information such as region, type, quantity, and environmental conditions, the environmental conditions, which help us protect and reasonably develop wildlife resources.[0003]In order to achieve the exact information of wildlife resources in real time and the impact of the environment is lowered, it is necessary to ensure that the wildlife monitoring system has high reliability, effective coverage area, good time limit, and has a small timeliness. Traditional monitoring methods such as artificial field surveys, GPS positioning collars, etc., have excessive restriction factors, and the effect is not idea...

AI Technical Summary

Problems solved by technology

[0004] Traditional infrared camera image recovery requires manual participation, high cost and heavy workload, while the infrared camera based on 4G communication module can realize the function of uploading images in real time, but limited by the layout of field base stations, the scope of application is relatively limited

Communication technology based on wireless sensor networks can solve the above problems, but there are still defects such as high power consumption, short service life, and a large number of false trigger images.

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