The sintering process of iron ore is the main process of pre-iron charge preparation. The quality of sinter has a direct bearing on blast furnace smelting. The working condition is the comprehensive embodiment of the combustion regime of the sintering process, and the stable working condition is also the premise of improving the quality of sinter. Therefore, the working condition perception of the sintering process is instructional for actual production. A working condition perception method of the sintering process based on information granulation and fuzzy rules is proposed. Firstly, the Pearson correlation analysis method is used to analyze the parameters of the sintering process, and the input parameters of the working condition-aware model are selected. Then, the information granulation of the time series data of each input parameter is carried out, and the fuzzy rule model is constructed by using the obtained information granulation, so as to realize the working condition perception of the sintering process. Finally, based on the actually industrial operation data, the proposed working condition perception model is verified. The results show that the working condition perception model constructed in this paper can effectively perceive the working condition, which can provide a basis and reference for the optimized decision of the sintering process.