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To address the security issues of industrial networks, with the support of a semi supervised environment, the AE-ELM model is used to optimize the design of industrial network security defense methods. Set industrial network intrusion detection standards based on the attack principles of different network attack programs. Collect real-time data of industrial networks that meet quality requirements, and extract industrial network data features using the AE-ELM model in a semi supervised environment. By matching with the set detection standards, the detection results of industrial network attack types are obtained. According to the type of network attack, defense deployment is carried out from the aspects of boundaries, transmission channels, terminals, etc. to achieve security defense of industrial networks. Through comparative testing with traditional defense methods, it is concluded that, considering the two attack scenarios comprehensively, under the defense effect of the optimized design method, the data loss rate and tamper rate of the industrial network are reduced by about 4.36% and 2.35%, respectively, indicating that the optimized design method has higher security defense effect.