Design And Implementation Of IoT Cloud Platform For Smart Breeding

During the breeding process,livestock and poultry are particularly sensitive to the environment of the farm area(such as chicken coops,cow sheds,pig pens,etc.),and unsuitable environments can make livestock sick.It is difficult to perceive environmental information in a timely and effective manner by manual methods alone.The low level of informatization in the breeding industry will reduce animal welfare and increase animal disease rates.In response to the above problems,this project uses pig farming as an example to realize an IoT cloud platform for smart breeding.The platform supports the comprehensive perception of multi-source heterogeneous data for the breeding environment;supports the storage,processing,analysis and early warning of the perception data;supports the automatic management and control of the intelligent breeding environment,thereby improving the information and intelligence level of the breeding industry.The main research contents of this thesis are as follows:(1)Aiming at the information collection of the environmental conditions of the pig house,this article integrates environmental monitoring-oriented temperature and humidity sensors,light sensors,carbon dioxide sensors,hydrogen sulfide sensors,ammonia sensors,and cameras and other sensing devices to realize an environmental sensing system for smart breeding.Quickly realize the function of reliable data transmission.(2)The platform obtains sensor data through wireless communication and analyze the data.For the parsed sensing device data,use data screening,data analysis,and data decision-making to realize functions such as environmental monitoring,over-standard warning,data storage,and data visualization for intelligent breeding.The platform controls the relay switch through wireless communication,realizes remote control and control equipment,and realizes the Internet of Things linkage control system for intelligent breeding and balanced environmental parameters.(3)The platform uses the video data of the IoT perception platform to identify sick pigs based on the target detection-oriented YOLO v3 algorithm,and integrates it into the intelligent breeding IoT cloud platform to realize the diagnosis and result warning of sick pigs.It enables households to isolate sick pigs in time and increase the production rate of farms.This thesis mainly implements the IoT perception and control platform for smart breeding,and establishes a scientific and complete environment-aware data decision-making platform for the breeding industry.Experiments and test results show that the platform can strictly control the breeding environment and diagnose diseased pigs in practical applications,improve the information and intelligence level of the breeding industry,and improve the overall environmental monitoring and control efficiency of farmers in the breeding industry.