With the continuous development of information technology, intelligent farming is being increasingly applied in modern livestock industry. Modern advanced information technology is gradually being applied throughout the entire process of equine farming. Utilizing technologies such as big data and artificial intelligence to promote the intelligent development of the equine industry and improve equine farming efficiency is one of the important pathways towards modernization and technological advancement of the equine industry. In this study, an equine intelligent farming big data platform based on the four-layer system architecture, including the device layer, data layer, data processing layer, and application layer, was developed using the latest information technologies such as big data, artificial intelligence, and the Internet of Things. The platform integrates five functional modules such as record management, epidemic prevention management, breeding management, behavior management, and environmental management, enabling data collection, analysis, model building, and application throughout the equine farming process. This research can provide insights for the construction of intelligent farming in equine breeding bases and enterprises, achieve fine monitoring and management of equine farming, improve equine production efficiency and breeding benefits, and provide more reference significance for the future development of the equine industry.