Simulation and application of steel production process based on multi-agent technology
The steel manufacturing process is complex and dynamic,involving multiple stages,numer-ous constraints,and nonlinear couplings.Each unit is heterogeneous and diverse,making it challeng-ing to provide mathematical descriptions and solutions.Based on multi-agent technology,various process rules are transformed into behavioral constraints for intelligent agents.A multi-level net-worked intelligent agent dynamic simulation model for the steel manufacturing process has been con-structed.Through connections,collaboration,feedback,and coordination among intelligent agents,emergent properties vividly demonstrate self-organizing behavior characteristics arising from nonlinear interactions between unit processes under different production states and between unit processes and the overall process.The simulation accuracy for runtime is within 10 minutes,and the hit rate is not less than 95％.This provides a new quantitative and iterative approach for formulating process opera-tional mechanisms,validating process optimization rules,and facilitating collaborative scheduling across different processes.
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