Abstract
In complex discrete manufacturing environment, there used to be a poor network and an isolated information island in production line, which led to slow information feedback and low utilization ratio, hindering the construction of enterprise intelligence. To solve these problems, uncertain factors in the production process and demands of sensor network were analyzed; hierarchical topology design method and the deployment strategy of the complexity industrial internet of things were proposed; and a big data analysis model and a system security protection system based on the network were established. The weight of each evaluation index was calculated using analytic hierarchy process, which established the intelligentized evaluation system and model. An actual production scene was also selected to validate the feasibility of the method. A diesel engine production workshop and the enterprise MES were used as an example to establish a network topology. The intelligence level based on both subjective and objective factors were evaluated and analyzed considering both quantitative and qualitative aspects. Analysis results show that the network topology design method and the intelligentize evaluation system were feasible, could improve the intelligence level effectively, and the network framework was expansible.
Highlights
At present, the fields of aerospace, marine ships and automobiles have become the main industries to develop vigorously in a country, and diesel engine is one of the most important parts for power energies in these fields, is worthy of scientific research [1,2]
We present a hierarchical topology design method and the deployment strategy of the complexity Industrial Internet of Things (IIoT) network, which concerns the uncertain factors and sensor network demands
The results show that the method proposed in the article can comprehensively test and evaluate the level of enterprise intelligence
Summary
The fields of aerospace, marine ships and automobiles have become the main industries to develop vigorously in a country, and diesel engine is one of the most important parts for power energies in these fields, is worthy of scientific research [1,2]. With the development of science and technology, the new manufacturing revolution represented by “German industrial 4.0” and “made in China 2025” are changing the mode of production of diesel engine [3,4]. The original production workshop network of the diesel engine enterprise is poor, with the phenomenon of isolated information island being prominent [5], causing the bottom information to not be fed back in time, the production line being unable to respond to the change of production under the uncertain factors quickly, and the production efficiency and product quality being affected. A network topology designed according to the production status and characteristics of the diesel engine enterprise can realize the interconnection and intercommunication between the production factors, and improve the intelligent production level of the enterprise [6,7].
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