With the proposal of the "dual carbon" target and the gradual deepening of the construction requirements of new power systems, industrial users are no longer traditional passive demanders, but need to make bidding decisions in the market according to their own production processes and planning loads. They need to face the uncertainty of electricity prices while making optimal bidding decisions that do not affect their own production continuity. A scenario construction based on industrial process modeling is proposed for industrial users to participate in the day-ahead and real-time electricity market, fully considering the uncertainty of electricity prices and production continuity. A two-stage bidding risk avoidance model is proposed based on risk optimization technology. Furthermore, in order to study the optimal bidding strategy for industrial users, the rationality of historical data is considered to improve the accuracy of target day simulation and obtain more accurate load data as the boundary of market bidding optimization algorithm. Taking industrial cement production as an example, modeling and analysis are conducted on various stages of cement productions. A simulation is designed using day-ahead and real-time electricity price data from Guangdong Province. The simulation results prove from multiple aspects that the proposed method can optimize users' electricity market bidding strategies and reduce user costs.