Design Of Intelligent Monitoring And Precision Management System For Sow Group Feeding Station

Pork production is a major component of the output of the livestock industry in China.The scientific feeding of reproductive sows,as one of the important components of the pork production industry,has been a driving force in improving the profitability of pig farms.According to the advanced experience of foreign sow breeding,group feeding of sows through sow electronic feeding stations can effectively improve the welfare level of sows,reduce space usage as well as labor cost,and enhance sow production efficiency.Several mature sow group feeding stations and their management and monitoring system supply solutions have emerged abroad.However,as the research and development of intelligent feeding equipment for group feeding sows in China are still at the stage of basic equipment imitation,the system level is not yet mature,and the corresponding technical equipment can only be imported from abroad.This undoubtedly increases the threshold of introducing advanced technology in pig farms.In this study,to reduce the application threshold of sow group feeding management technology in pig farms,a management system is developed based on self-developed sow group feeding stations,which can realize intelligent monitoring of multiple feeding stations and fine feeding of sows.The main research contents of this paper are as follows:1)Technology selection and system modeling in sow group feeding mode.By analyzing the technical characteristics of foreign sow group feeding mode,the overall topology of 4G network based system is designed.The sow group feeding station with embedded Linux as the core is selected as the execution layer of fine feeding.The core model of the system architecture is established with the help of the theoretical knowledge of digital twin and expert system,taking the intelligent monitoring of feeding station equipment and sow refinement feeding as the core respectively.And the expert system decision model with real-time status information such as sow breed and litter size to decide feeding quantity is determined.2)Design and develop the back-end service of the system.The SSM technology stack based on Spring Boot framework was chosen to build the backend of the system project.Design the back-end core functional modules according to the system requirements.Design the specific data structure corresponding to the entities such as user,sow,feeding station,and feeding knowledge base.Design the Socket communication protocol for communication with the feeding station and Web Socket communication protocol for communication with front-end virtual 3D feeding station,and implement the back-end communication service function based on Netty framework.Complete the backend implementation of the system core decision-making function module and feeding station status information monitoring module.3)Design and develop the front-end page of system interaction.Choose Vue.js as the development framework based on front-end components.Abstract the public frontend request implementation class.Design the core front-end business implementation including user permission login,sow information registration management,feeding station equipment registration management,feeding expert system interaction.Build a virtual 3D model of feeding station based on the 3D entity of feeding station.And through the Three.js engine,with the Web Socket communication function supported by the browser,the virtual feeding station entity monitors the physical feeding station in the front-end user interface.Finally,through the camera cloud service component,the feeding site monitoring video screen is provided at the front-end.Further complete the system front-end development.4)System testing under actual sow herd feeding scenario.System testing under sow herd feeding scenario was carried out in the partner unit in Hechuan District,Chongqing.Installed and set up sow group feeding stations in pig pens,and packaged and ran the system front-end and back-end projects on the domestic cloud server platform.The usability and concurrency of the project were verified.The final test results prove that the intelligent monitoring and refinement management system of sow feeding station designed and developed in this research can realize the system functions of user login authority management,sow information management and status monitoring,feeding station information management and status monitoring,and intelligent decision making of sow refinement feeding.Under the basic cloud server configuration,the back-end of the system can reliably and low latency carry concurrent communication and real-time status push of more than 120 feeding station devices.The front-end can render the virtual 3D model of feeding station at a stable frame rate of more than 50 fps,while guaranteeing the presentation of real-time video of feeding site at about 15 fps.This study generally realizes the intelligent monitoring of equipment and fine feeding decision in the context of sow group feeding,which meets the communication requirements of concurrent equipment and concurrent clients in actual production and has strong practical value.