Abstract
In order to improve the management efficiency of the safety status of Industry 4.0 engineering products, the multigranularity access control model (MGACM) Industry 4.0 engineering product life cycle management (PLM) is adopted to optimize the safety management mode of Industry 4.0 engineering products in this paper. The multigranularity access control model is constructed in this paper, which has strong nonlinearity and better fault tolerance. In addition, the parameters of PLM are optimized through the multiparticle access control model, and PLM search is enabled. Taking into account the slow and easy convergence of the multigranular access control model, a niche technology with full life cycle heterogeneity and elimination mechanism is proposed to solve the premature convergence problem of the multigranular access control model. The final simulation results of this paper show that, compared with traditional algorithms, the proposed multigranularity access control model is more reliable and effective and has faster convergence speed and higher management efficiency.
Highlights
With the continuous advancement of society and unceasing enhancement of people’s needs, data information has gradually become the basic technology for people’s daily life, and the role of Industry 4.0 engineering product life cycle in people’s lives has become more prominent. ere are Industry 4.0 engineering products [1, 2], wireless communication Industry 4.0 engineering products, etc. erefore, the Internet is usually used to transmit and receive data and information, and the quality of Industry 4.0 engineering products is more important
In order to verify the validity of the predictive model, the real security provided by the laboratory Industry 4.0 engineering product life cycle management platform is adopted in this paper. e data, based on the evaluation of the safety status of Industry 4.0 engineering products, effectively realized the prediction of the value of the safety status of Industry 4.0 engineering products
In order to prove the superiority of the proposed model, the multigranularity access control model (MGACM), the performance of the multigranular access control model BP and that of the multigranular access control model MGACM are compared. rough the comprehensive training of these algorithms, we have selected convergence speed, diversity, and prediction accuracy to determine the advantages of these algorithms and verified the effectiveness of the proposed model
Summary
With the continuous advancement of society and unceasing enhancement of people’s needs, data information has gradually become the basic technology for people’s daily life, and the role of Industry 4.0 engineering product life cycle in people’s lives has become more prominent. ere are Industry 4.0 engineering products [1, 2], wireless communication Industry 4.0 engineering products, etc. erefore, the Internet is usually used to transmit and receive data and information, and the quality of Industry 4.0 engineering products is more important. In order to provide more effective and accurate management, an improved multigranularity access control model is introduced to optimize the life cycle management of Industry 4.0 engineering products in this paper. The life cycle granularity and authorization distribution control granularity of industrial products are used, to complete the optimization process of the model and complete the realization of multigranularity access control. The analysis of the experimental results shows that the constructed model can Computational Intelligence and Neuroscience effectively reduce the fault tolerance rate of the industrial product life cycle management system It can strengthen the accuracy and completeness of model access control, which can better meet the special needs of PLM for access control. 2. Granularity Analysis of Access Control for Industry 4.0 Engineering Product Life Cycle Management. The priority of direct permission from all users is 0, and the priority of permission from the user’s group is 1
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