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Evaluation model and algorithm of intelligent manufacturing system based on pattern recognition and big data

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Abstract

With the development of the big data era, the manufacturing industry is focusing on integrating the technologies related to the evolving intelligent industry. Intelligent manufacturing is the latest form of advanced manufacturing development. In order to pay attention to the design and evaluation status of manufacturing system, we understand the connotation of manufacturing system from the perspective of actual manufacturing production and sales. In this paper, the evaluation model and algorithm of Intelligent Manufacturing System Based on pattern recognition and big data are proposed. In the process of studying the information transmission of intelligent manufacturing system, the evaluation hierarchy algorithm of intelligent control system is improved with reference to several modeling methods. Finally, an intelligent manufacturing system suitable for processing big data is designed. In the experiment in workshop A, with the help of computer simulation of artificial intelligent activities, the intelligent manufacturing system analyzes the processing and production data, obtains the dynamic requirements of products in the machining workshop, and provides judgment basis for the construction of dynamic units in enterprises. The experimental results show that after the change of the production organization model using the seasonal change forecasting method, the introduction of the smart manufacturing system, the sales production of this shop has been increasing, and in the 20th month has increased seven times more than the initial, while the overall situation of the predicted sales and actual sales and costs, the superiority of using the smart manufacturing evaluation model is derived.

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Funding

This research is supported by School Level Talent Fund of Hefei University in 2020 (20RC12), Major scientific and technological projects of Anhui Province (201903a05020033), Anhui Provincial Natural Science Foundation (1908085QF270), the Support Program Project for Excellent Youth Talent in Higher Education of Anhui Province (gxyq2020065).

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Authors and Affiliations

  1. School of Advanced Manufacturing Engineering, Hefei University, Hefei, 230601, Anhui, China

    Yuan Guo, Qiang Qin, Weitang Zhang, Yun Wei & Wei Li

Authors
  1. Yuan Guo
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  2. Qiang Qin
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  3. Weitang Zhang
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  4. Yun Wei
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  5. Wei Li
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Contributions

YG, QQ and WZ involved in writing and editing. Yun Wei and Wei Li involved in data analysis.

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Correspondence to Weitang Zhang.

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Communicated by Deepak kumar Jain.

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Guo, Y., Qin, Q., Zhang, W. et al. Evaluation model and algorithm of intelligent manufacturing system based on pattern recognition and big data. Soft Comput 27, 4195–4208 (2023). https://doi.org/10.1007/s00500-022-07030-x

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