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Research on the coupling relationship between manufacturing technology innovation and energy consumption based on intelligent algorithms

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Abstract

In the current era, the energy consumption of the manufacturing industry is very serious. How to achieve optimal control of energy consumption in the manufacturing process with technological innovation as the driving force has become a current research hotspot. Based on this, this article has deeply studied the application of control technology in energy consumption management and control, and designed the sparse coupling relationship and analysis model based on the greedy optimization algorithm. From the aspects of conventional energy consumption, technical methods, output control and energy consumption in the manufacturing industry, based on production data, the optimal control strategy for energy consumption is analyzed and quantitatively evaluated through the greedy optimization algorithm. The results show that the energy consumption relationship analysis model based on the matching tracking algorithm has the advantages of high computational efficiency and high precision.

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Acknowledgements

National Natural Science Foundation of China. The impact of incubation network governance mechanism and negative effects on network performance. Grant No. 7167020995.

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Authors and Affiliations

  1. Institute of Economics and Management, Xi’an University of Technology, Xi’an, 710054, Shanxi, China

    Sha Lan & Haiqing Hu

  2. Institute of Business, Northwest University of Political Science and Law, Xi’an, 710063, Shanxi, China

    Sha Lan

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  1. Sha Lan
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  2. Haiqing Hu
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Correspondence to Sha Lan.

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Lan, S., Hu, H. Research on the coupling relationship between manufacturing technology innovation and energy consumption based on intelligent algorithms. J Therm Anal Calorim 144, 1689–1696 (2021). https://doi.org/10.1007/s10973-020-10440-4

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  • DOI: https://doi.org/10.1007/s10973-020-10440-4

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