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Flue temperature is a key technical index in coke oven heating process, which is so difficult to measure directly online. The offline analysis has large-time delay and poor precision. An intelligent prediction model of flue temperature based on case-based reasoning was developed, which consists of four modules: data collection and pretreatment, prediction, online modification and effect estimate. The practical data of some coke oven were simulated. The industrial application results show that the prediction model can reflect the actual operation condition and meet the requirement of real-time control. Its effectiveness is proved evidently.