Abstract: The ability to quickly and accurately monitor the ratio of yolk to white in liquid egg products and provide feedback signals allowing ratio adjustment is crucial to achieving automatic ratio control with liquid egg processing equipment. This paper proposed a real-time monitoring method for different ratios of liquid eggs based on conductivity and explored the effects of static and dynamic states of liquid egg, temperature, and yolk content on liquid egg conductivity values. A nonlinear fitting surface was developed to construct a mathematical model to describe how these factors influenced changes in conductivity. An experimental device was built in conjunction with this mathematical model to verify the feasibility of the method. Through various experiments designed to explore the factors that may affect the conductivity of liquid eggs. The results indicated that temperature and yolk content exert significant effected on conductivity, while static or dynamic state did not exert a significant effect. Using the experimental device, real-time monitoring was conducted on liquid egg-based mixtures with different ratios. Real-time monitoring using a conductivity meter achieved 97.3% accuracy in detecting differences in temperature and ratios. In conclusion, this method offers high accuracy and can provide online feedback to the control system of liquid egg production equipment, ensuring product quality. This work serves as an important reference for the intelligent upgrade of liquid egg production.