Research On The Prediction Model Of Parameters Measurement And Control And Environmental Suitability Of Piggery Based On Internet Of Things

With the development of the animal husbandry,How to realize the convenience,automation and scale of the pig breeding has been more and more concerned by people.At present,most of the self-employed pig farmers in China still use the previous manual model,only some large pig farms are using the intelligent pig raising mode monitored by the Internet of Things environment.It can be seen that intelligent pig raising mode is far from universal in China.And the domestic Internet of things pigsty environment monitoring technology is not advanced enough.Most of them can only respond to the users the pigsty environment parameters,but it is impossible to calculate the appropriate temperature,humidity,CO₂ concentration and NH₃concentration of pig growth by using the collected environmental parameters of pigsty and the algorithm technology;At the same time,the system can not directly control and adjust the environmental parameters of pigsty,so it can not meet the current requirements of the large-scale pig breeding in China.First,this paper through summarizing the research on the monitoring of pigsty environment by the Internet of Things and the correlation algorithm technique at home and abroad,designs a model of parameter measurement and control system and environment suitability prediction for pigsty based on Internet of Things.Among them,the design of the parameters of piggery in the Internet of Things includes the module of collecting the environmental information of pigsty and the module of regulating the change of environmental parameters of pigsty.This subject collects the environmental parameters of the pigsty through the information collection module of the Internet of Things,such as temperature,humidity,CO₂ concentration and NH₃concentration.Then upload the collected information to the server through the GPRS remote communication module,display and save the data on the monitoring operation platform of the upper computer.Users can view the data at any time;Then adjust the environmental parameters of pigsty directly according to the need.Finally,use the improved data mining GC4.5 algorithm to establish the evaluation model of the suitability of pigsty environment.By looking at the growth status of pigs,such as the weight parameters,users can find the appropriate environmental parameters for the growth of pigs.A large number of data test results show that,the system runs reliably,both the server and the client can receive data correctly,the prediction accuracy is high,and it also has a good human-computer interaction interface.The system has been put into practice in the farm,the actual inspection and feedback confirm that it has the strong convenience and practicality.