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IoT Hierarchical Topology Strategy and Intelligentize Evaluation System of Diesel Engine in Complexity Environment

机译:复杂环境下柴油机物联网分层拓扑策略与智能化评估系统

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摘要

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.
机译:在复杂的离散制造环境中,生产线曾经是一个较差的网络和一个孤立的信息孤岛,导致信息反馈缓慢,利用率低下,阻碍了企业智能的建设。为了解决这些问题,分析了生产过程中的不确定因素和传感器网络的需求。提出了复杂工业物联网的分层拓扑设计方法和部署策略。建立了基于网络的大数据分析模型和系统安全保护系统。采用层次分析法计算各评价指标的权重,建立了智能化评价体系和模型。还选择了实际的生产现场以验证该方法的可行性。以柴油机生产车间和企业MES为例,建立了网络拓扑。评估了基于主观和客观因素的智力水平,同时考虑了定量和定性方面。分析结果表明,该网络拓扑设计方法和智能化评估系统是可行的,可以有效提高智能水平,并且网络框架可扩展。

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