Development Of Environmental Monitoring System For Pig Breeding Based On Internet Of Things

In recent years,with the improvement of China social economy and overall pig breeding level,the pig breeding mode has gradually changed from the past retail breeding to large-scale and intensive breeding.However,due to the increase of breeding density,the growth environment of pigs is deteriorating,leading to many problems such as the spread of disease and high consumption of feed.With the maturity of Internet of Things technology,the application of Internet of Things technology in pig farming has become an important means to improve the efficiency and modernization level of pig farming.By analyzing the effects of various environmental parameters on the growth of pigs in the process of breeding,the monitoring system of pig breeding environment based on the Internet of Things decided to choose temperature,humidity,ammonia,carbon dioxide and hydrogen sulfide as the measured parameters.The system is composed of three parts: the underlying monitoring node,data wireless transmission network and system monitoring software.The hardware of the underlying monitoring node takes Siemens PLC224 XP as the core controller,and uses RS-485 serial port of PLC to connect sensors to complete data acquisition.The environmental parameter acquisition module selects digital sensors with high precision and strong anti-interference ability,and each monitoring node is equipped with touch screen interface,which can facilitate the staff in the field to view the data and control the switch of electric equipment such as fan and wet curtain.Data transmission network uses LoRa module and GPRS module,in which LoRa module combine the sink node and monitoring nodes into a star-sharped structure network,and GPRS module at the sink node is responsible for data interaction between the field and the remote server.The upper computer software of the system is a Winform program written by C#.net.As the link of the whole system,it is responsible for data transfer between the underlying monitoring node,database and Android client.Android client is developed under the integrated environment of Android Studio.As the main system interaction mode of users,Android client can realize real-time display of environment parameters,curve analysis of historical data and remote control of field electrical equipment.On the basis of the system hardware and software,the dissertation disigns a two level data fusion model.The first level fusion adopts adaptive weighting algorithm to fuse the same kind of sensor data,further improving the measurement accuracy and reliability of the system.The second level data fusion adopts fuzzy comprehensive evaluation method to fuse different kinds of sensor data to get the suitability level of the pig breeding environment,and reflect the overall situation of the breed environment intuitively.Experimental results show that the system runs reliably and the parameters are measured accurately.The upper computer monitoring software receives data for a long time without breaking down.Android client has a friendly human-machine interface and can control the field equipment remotely in time,which meets the needs of digital aquaculture.