Design And Environmental Suitability Evaluation Of Multi-parameter Measurement And Control System In Pig House Based On Internet Of Things

With the rapid development of the breeding industry,it has received extensive attention on how to realize intelligent pig breeding.At present,some domestic pig farms use the remote measurement and control technology based on Internet of things to monitor the breeding situation of pigs which are only in the semi-intelligent stage.However,the traditional breeding monitoring system based on Internet of things can only monitor and not automatically adjust piggery environment according to the coupling relations of environmental parameters in the pig house to make a suitable environment for pigs.At the same time,its human-computer interaction interface and the environmental parameters in the pig house are single,so its information application value and the real-time transmission of the data in the system is quite low.To solve problems above,this paper,adopting the Siemens PLC200 as a controller,designs a multi-parameter measurement and control system and environment suitability evaluation system based on field equipment and real-time remote monitoring terminal of Internet of things to collect and control environmental parameters in the pig house in real time so as to create a suitable environment for pigs in a scientific and effective way.The main research contents and results of this paper are as follows:First,this paper designed the overall structure of measurement and control system for pig house based on Internet of things and introduced the main functional components such as environmental parameter acquisition module in pig house,environmental control module,wireless communication module,PC terminal and mobile phone terminal.Based on this,the paper also built a better prediction model for piggery environmental suitability based on adaptive weighted fusion algorithm and revised CS-BP Neural Network.Second,this paper also designed prediction algorithm for piggy environment suitability which can preprocess environmental parameter from pig house first to get close to the real piggery environmental parameter by applying adaptive weighted fusion algorithm and then optimize Neural Network to build a better prediction model for evaluating piggery environmental suitability with an improved Cuckoo search algorithm where data from adaptiveweighted fusion algorithm will be input to evaluate environment in the pig house.Third,the lower computer software of measurement and control system based on the Internet of things was designed that introduce the control program of the controller PLC200 which adjust piggery environment in real time by controlling the fan and the wet curtain with PID control algorithm,keeping piggery environment in a good condition.Then,the upper computer software of measurement and control system based on the Internet of things was also designed which describe the ADO.NET database access technology and Socket communication technology.With remote monitoring center as the server,Android as the client of C/S architecture and the browser platform as the client of B/S architecture,this paper designed a human-computer interaction interface that can monitor and control environment in the pig house in real time,which expand the platform and ensure the efficiency and safety of pig breeding environment.Finally,the results show that the prediction model for the environmental suitability and system data all feature high accuracy and network packet loss rate is quiet low after all type tests.In general,the farmer can cover the entire pig house with Internet in a comprehensive way which can monitor piggery environment in real time.