Coal-water slurry gasification is a very important technology in developing clean and efficient use of coal.Gasifier furnace temperature is one of the key variables which is closely related to the process safety

stability and long-term operation of the gasification.Thermocouple elements are easily ruined under complex industrial condition with high temperature

high pressure and high flow erosion.Thus it is difficult to maintain a long period of work.In this paper

aiming at an opposed multi-burner coal-water slurry gasification process

adopting fuzzy C-means clustering based multi-modeling method and least square support vector machines

a gasifier temperature soft sensor model is established.The actual operation’s validation results show that the predictive temperature of the furnace based on this soft sensor model has a pretty good predictive precision and generalization ability.