Objective To improve user experience and the management efficiency of laboratory animals in medical universities, it’ s critical to develop an intelligent, scientific, and process-oriented comprehensive management system for laboratory animals. Methods We developed a comprehensive and scientific management system for laboratory animal production, sales, animal experiments, data statistics, and analysis using computer clusters, the Internet of Things(IoT) cloud platform, and mobile communication terminal technology. Results The comprehensive management system for laboratory animals achieved stable operation over its main technological processes and steps after undergoing testing and trialing. Conclusions The system performs stable and reliably, and achieving intelligent management, reducing operation costs, and meeting the expectation of system design.