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For traditional bus industrial control network resource scheduling algorithm in the number of nodes increase gradually slow convergence speed and searching precision is not high, and low accuracy and efficiency, this paper proposes a chain based on the critical path and polymorphic ant colony genetic algorithm (PACGA) resource scheduling method, using the critical path of chain scheduling algorithm for scheduling of node demand, between different nodes using polymorphic ant colony genetic algorithm for resource scheduling, according to according to the characteristics of the industrial control network resources scheduling, with the adaptive adjustment of volatile coefficient strengthen the global search capability of the nodes, through the candidate node set method to reduce the search area improve the searching efficiency of the algorithm, complete highly bus industrial control network resources scheduling. Simulation experiment shows that the method in the process of industrial control task number of cases still have higher efficiency and precision, and has lower running time, with strong application value.