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Erschienen in: Optical and Quantum Electronics 3/2024

01.03.2024

Digital intelligent manufacturing mode innovation and industrial performance analysis based on industrial internet of things cluster

verfasst von: Lan Xiaoyi, Chen Hua

Erschienen in: Optical and Quantum Electronics | Ausgabe 3/2024

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Abstract

In recent years, with the rapid development of China's technological level, internet business has also increased, resulting in a shortage of wireless spectrum resources. Therefore, relevant scholars have introduced device direct communication technology into communication networks. Traditional cellular networks improve utilization efficiency and system capacity by introducing device through technology, and can also reduce the transmission pressure of base stations. However, this solution allows cellular users and device through users to share resources simultaneously, and each user may cause interference before. When the interference is severe, users cannot use the communication system. Therefore, this article proposes a communication resource allocation algorithm based on a proportional algorithm, which can enable users to experience better usage effects and leverage the performance advantages of device direct communication technology. Intelligent manufacturing can reflect the industrial competitiveness of every country, and China also attaches great importance to the development of intelligent manufacturing and increases efforts to support intelligent manufacturing. The manufacturing industry of intelligent systems is carried out through the industrialization of computers, promoting system optimization and upgrading. This article studies and explores the clustering of industrial IoT and digital intelligent manufacturing, applying these technologies to wireless resource allocation, thereby promoting the development and improvement of intelligent systems.

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Literatur
Zurück zum Zitat Aceto, G., Persico, V., Pescapé, A.: Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. J. Ind. Inf. Integr. 18, 100129–100135 (2020) Aceto, G., Persico, V., Pescapé, A.: Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. J. Ind. Inf. Integr. 18, 100129–100135 (2020)
Zurück zum Zitat Ahmed, E., Yaqoob, I., Hashem, I.A.T., et al.: The role of big data analytics in internet of things. Comput. Netw. 129, 459–471 (2017)CrossRef Ahmed, E., Yaqoob, I., Hashem, I.A.T., et al.: The role of big data analytics in internet of things. Comput. Netw. 129, 459–471 (2017)CrossRef
Zurück zum Zitat Cao, Y., You, J., Shi, Y., et al.: The obstacles of China’s intelligent automobile manufacturing industry development: a structural equation modeling study. Chin. Manag. Stud. 14, 159–183 (2020)CrossRef Cao, Y., You, J., Shi, Y., et al.: The obstacles of China’s intelligent automobile manufacturing industry development: a structural equation modeling study. Chin. Manag. Stud. 14, 159–183 (2020)CrossRef
Zurück zum Zitat Chiu, Y.C., Cheng, F.T., Huang, H.C.: Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0. J. Chin. Inst. Eng. 40(7), 562–571 (2017)CrossRef Chiu, Y.C., Cheng, F.T., Huang, H.C.: Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0. J. Chin. Inst. Eng. 40(7), 562–571 (2017)CrossRef
Zurück zum Zitat Hew, S.L., White, L.B.: Cooperative resource allocation games in shared networks: symmetric and asymmetric fair bargaining models. IEEE Trans. Wirel. Commun. 7(11), 4166–4175 (2008)CrossRef Hew, S.L., White, L.B.: Cooperative resource allocation games in shared networks: symmetric and asymmetric fair bargaining models. IEEE Trans. Wirel. Commun. 7(11), 4166–4175 (2008)CrossRef
Zurück zum Zitat Lai, W.K., Wang, Y.C., Lin, H.C., et al.: Efficient resource allocation and power control for LTE-A D2D communication with pure D2D model. IEEE Trans. Veh. Technol. 69(3), 3202–3216 (2020)CrossRef Lai, W.K., Wang, Y.C., Lin, H.C., et al.: Efficient resource allocation and power control for LTE-A D2D communication with pure D2D model. IEEE Trans. Veh. Technol. 69(3), 3202–3216 (2020)CrossRef
Zurück zum Zitat Li, F., Liu, W., Bi, K.: Exploring and visualizing spatial-temporal evolution of patent collaboration networks: a case of China’s intelligent manufacturing equipment industry. Technol. Soc. 64, 101483–101489 (2021)CrossRef Li, F., Liu, W., Bi, K.: Exploring and visualizing spatial-temporal evolution of patent collaboration networks: a case of China’s intelligent manufacturing equipment industry. Technol. Soc. 64, 101483–101489 (2021)CrossRef
Zurück zum Zitat Lüthje, B.: Platform capitalism ‘made in China’? Intelligent manufacturing, taobao villages and the restructuring of work. Sci. Technol. Soc. 24(2), 199–217 (2019)CrossRef Lüthje, B.: Platform capitalism ‘made in China’? Intelligent manufacturing, taobao villages and the restructuring of work. Sci. Technol. Soc. 24(2), 199–217 (2019)CrossRef
Zurück zum Zitat Sestino, A., Prete, M.I., Piper, L., et al.: Internet of Things and Big Data as enablers for business digitalization strategies. Technovation 98, 102173–102180 (2020)CrossRefPubMedCentral Sestino, A., Prete, M.I., Piper, L., et al.: Internet of Things and Big Data as enablers for business digitalization strategies. Technovation 98, 102173–102180 (2020)CrossRefPubMedCentral
Zurück zum Zitat Song, L., Niyato, D., Han, Z., et al.: Game-theoretic resource allocation methods for device-to-device communication. IEEE Wirel. Commun. 21(3), 136–144 (2014)CrossRef Song, L., Niyato, D., Han, Z., et al.: Game-theoretic resource allocation methods for device-to-device communication. IEEE Wirel. Commun. 21(3), 136–144 (2014)CrossRef
Zurück zum Zitat Xiong, X., Yuan, Y., Fang, L., et al.: Status and development trends of intelligent manufacturing in China’s furnishings industry. For. Prod. J. 68(3), 328–336 (2018) Xiong, X., Yuan, Y., Fang, L., et al.: Status and development trends of intelligent manufacturing in China’s furnishings industry. For. Prod. J. 68(3), 328–336 (2018)
Zurück zum Zitat Yu, S., Khan, W.U., Zhang, X., et al.: Optimal power allocation for NOMA-enabled D2D communication with imperfect SIC decoding. Phys. Commun. 46, 101296–101304 (2021)CrossRef Yu, S., Khan, W.U., Zhang, X., et al.: Optimal power allocation for NOMA-enabled D2D communication with imperfect SIC decoding. Phys. Commun. 46, 101296–101304 (2021)CrossRef
Zurück zum Zitat Zhong, R.Y., Xu, X., Klotz, E., et al.: Intelligent manufacturing in the context of industry 4.0: a review. Engineering 3(5), 616–630 (2017)CrossRef Zhong, R.Y., Xu, X., Klotz, E., et al.: Intelligent manufacturing in the context of industry 4.0: a review. Engineering 3(5), 616–630 (2017)CrossRef
Metadaten
Titel
Digital intelligent manufacturing mode innovation and industrial performance analysis based on industrial internet of things cluster
verfasst von
Lan Xiaoyi
Chen Hua
Publikationsdatum
01.03.2024
Verlag
Springer US
Erschienen in
Optical and Quantum Electronics / Ausgabe 3/2024
Print ISSN: 0306-8919
Elektronische ISSN: 1572-817X
DOI
https://doi.org/10.1007/s11082-023-05929-9

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