Lobster breeding feeding management system based on internet of things

Abstract

The invention discloses a lobster breeding feeding management system based on an internet of things. The lobster breeding feeding management system is characterized by comprising a data transmission network consisting of a terminal node, a coordinator and a plurality of routers, wherein the coordinator is in communication connection with the terminal node, and the routers are distributed in areasof a livestock farm. A control node compares real-time feeding capacity data with a threshold value, a feeder is turned on when the real-time feeding capacity data are larger than the threshold value,otherwise, the feeder is turned off, and the control node collects characteristic parameters of an environment and transmits the characteristic parameters to a sensor module. The intelligent feedingand data management system based on a lobster breeding system can accurately control the feeding dose of lobsters in the whole process lobster, normal growth of the lobsters is ensured, feeding data can be controlled and recorded in real time by background data management software, and later research is facilitated.

Description

technical field [0001] The invention relates to the field of intelligent lobster farming, in particular to a lobster farming feeding management system based on the Internet of Things. Background technique [0002] Lobster products have the characteristics of high protein, low fat, and good nutritional balance, and have become the main source of high-quality animal protein intake for people. With the advancement of automation technology, factory farming has also become a trend. The defects of the existing breeding mode are as follows: 1. Generally, the factory farming area is large and the production manpower is insufficient. Although the traditional automatic bait feeding machine reduces the labor intensity of the operators to a certain extent, since each bait feeding machine is independent work, there is a difference in delivery time, it is difficult to achieve accurate bait delivery, and the efficiency is low. 2. Due to the expansion of the breeding area, the real-time m...

AI Technical Summary

Problems solved by technology

The defects of the existing breeding mode are as follows: 1. Generally, the factory farming area is large and the production manpower is insufficient. Although the traditional automatic bait feeding machine reduces the labor intensity of the operators to a certain extent, since each bait feeding machine is independent work, there is a difference in delivery time, it is difficult to achieve accurate baiting, and the efficiency is low

2. Due to the expansion of the breeding area, the real-time monitoring of the working status of a large number of bait feeding machines has become more and more difficult; and the demand for bait for lobster products in different breeding stages is different. The traditional automatic bait feeding The system cannot accurately feed bait at each breeding stage according to different lobster products