Aquaculture risk reduction system based on internet of things and big data

Abstract

The present invention provides an aquaculture risk reduction system based on internet of things and big data. The system comprises multiple water quality sensors to acquire water quality signal(s) ofa breeding area in real-time. An AD conversion module performs analog-digital conversion on the water quality signal(s) and transfers the water quality signal(s) into a water quality data. A controller receives water quality digital signal(s) and sends the water quality digital signal(s) to a communication module. The communication module sends the water quality digital signal(s) to a cloud data center. The cloud data center pushes the water quality data to an APP of a corresponding user for the user to view. When the water quality data is lower than a corresponding threshold, the cloud data center sends a notification to the user automatically. The cloud data center sends a remote control command to a corresponding relay via the communication module, the relay controls the corresponding equipment to complete the action and regulate the water quality data. According to the system, automatic monitoring, feedback and remote control and execution are realized, the real-time data and statecan be fed back to a farmer, and the labor is saved; and meanwhile, the management efficiency is improved, and the breeding risk is reduced.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an aquaculture risk reduction system based on the Internet of Things and big data. Background technique [0002] In the aquaculture industry, real-time monitoring of factors such as water quality in the breeding area is very important for farmers. However, real-time monitoring of the breeding area by manpower consumes a lot of manpower. Farmers do not have enough energy and financial resources to take care of each aquaculture area, which leads to the fact that when the water quality in the aquaculture area deteriorates, the farmers cannot find out in time, which affects the growth of fry and increases the risk of aquaculture. Moreover, even if farmers find out, they cannot adjust the equipment immediately, and the efficiency is very low. [0003] How to realize a breeding management system with automatic monitoring, feedback execution and all-day real-time monito...

AI Technical Summary

Problems solved by technology

However, real-time monitoring of the breeding area by manpower consumes a lot of manpower

Farmers do not have enough energy and financial resources to take care of each aquaculture area, which leads to the fact that when the water quality in the aquaculture area deteriorates, farmers cannot find out in time, which affects the growth of fry and increases the risk of aquaculture

Moreover, even if the farmer finds out, it is impossible to adjust the equipment immediately, and the efficiency is very low

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