In coal mine integrated energy system(CMIES) with high energy consumption, to reduce the impact of the coal mine associated energys(CMAEs), renewable energy and load uncertainty prediction error on the system, a multi-time-scale interval optimal dispatch strategy for CMIES considering the source-load uncertainty is proposed. Firstly, the architecture of CMIES including renewable energy, CMAEs, concentrating solar power is constructed. Secondly, according to the time difference of the electricity-thermal response and the prediction errors of uncertain parameters, a multi-time-scale interval scheduling model is established. Interval mathematics is used to describe the uncertainty parameters, and the actual absorption power range of CMAEs and renewable energy are solved by interval optimization in the day-ahead and intraday dispatch. Based on day-ahead dispatch, the ambiguity of user comfort, thermal inertia and hot water load demand response(DR) are comprehensively considered to adjust the output power of equipment in the intraday dispatch. The electrical load DR is considered to revise the output power of electric equipment in the real-time dispatch. Finally, the feasibility of the proposed model and method is proved by example analysis.