In this large - scale pig breeding project, CSVision deployed its intelligent park integrated management platform to construct a closed - loop management mechanism for livestock production based on AIoT and visualization technologies.

This solution integrates modules such as video monitoring, AR real - scene, and intelligent analysis to achieve full - process digital management and control of the breeding environment, biosecurity, and production processes. Relying on the digital twin model, the platform dynamically optimizes resource allocation, improves the efficiency of production safety inspections by 40%, and boosts the response speed of disease early - warning to the minute - level. At the same time, it assists in resource scheduling through data - driven decision - making, significantly deepening the practice of the livestock industry in the field of intelligent operation.

Project Background

This project is a large - scale pig breeding base, covering multiple production areas such as gestation and farrowing houses, nurseries, and fattening houses. It is a modern agricultural park integrating breeding, epidemic prevention, logistics, and environmental protection. The project needs to achieve full - process controllability and traceability of the breeding environment, biosecurity, and production processes.

Customer's Pain Points

Demand for multi - system data sharing: 

The original video monitoring system, breeding management system, and government supervision platform in the farm operated independently. It was necessary to achieve standardized sharing of video resources with the video monitoring subsystem and agricultural supervision departments to break the information silos.

Demand for efficient emergency event location: 

Traditional inspections relied on manual labor, and abnormal events (such as abnormal pig behavior and equipment failures) could not be quickly and accurately located. It was necessary to use AR technology to achieve real - time punctuation and visual scheduling.

Demand for automated breeding counting: 

Manual counting was inefficient and error - prone. It was necessary to use intelligent analysis technology to automatically count the number of pigs and monitor their behavior to improve the accuracy of breeding management.

Demand for unified operation and maintenance of large - scale videos:

 There were more than 2,100 video devices in the factory area, which were scattered and independent. It was necessary to build a centralized management platform to achieve integrated management and control of device status, video quality, and storage resources.

Project Highlights

Based on the above pain points, the intelligent breeding integrated management platform was deployed in this project, with the following core capabilities:

Interconnection and sharing of video resources: 

Through the GB/T 28181 standard protocol, the platform seamlessly connects with the equipment of the video monitoring subsystem and the supervision platform of the Agricultural Bureau, enabling real - time access and on - demand push of video streams to meet the dual needs of safe production and industry supervision.

Rapid location with AR real - scene: 

Using AR real - scene map technology, key points of pig houses, equipment, and passages are dynamically marked in the video frame, supporting one - click location of events, trajectory restoration, and linked pre - plan scheduling, and increasing the response speed to abnormalities by more than 30%.

Intelligent pig counting and behavior analysis:

The platform integrates an intelligent pig - counting AI algorithm system, which can automatically count the number of pigs, estimate their body weight, and detect abnormal behaviors (such as fighting and disease symptoms) based on video streams, with an accuracy rate of 98%, replacing manual inspections.

Intensive management of massive videos:

 The platform aggregates 2,100 high - definition video streams in the factory area, providing integrated capabilities for equipment operation and maintenance, quality diagnosis, and storage management. It supports second - level video retrieval and hierarchical permission control, reducing operation and maintenance costs by 40%.