Author:
Wan Nengwen,Zhang Wenjun,Li Tan,Chen Meng,Song Weining,Chen Honglin,Zhu Jingyu,Cao Huifeng,Chen Nanjiang,Wang Qi,Lin Yanwen,Li Runqiang
Publisher
Springer Nature Singapore
Reference12 articles.
1. Qin, J., Lu, X., Si, H., et al.: New features of welding materials based on intelligent manufacturing. Mater. Guide 37(11), 128–134 (2023)
2. Luo, J.X., Lan, T.H., Li, T., et al.: Survey on sharing technology and applications of intelligent manufacturing training equipment based on industrial internet and man-in-loop simulation. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. CCIS, vol. 1713. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-9195-0_48
3. Zhu, X., Zhang, G.: Literature review on management of research instruments and equipment in universities. Lab. Res. Explor. 38(11), 274–277 (2019)
4. Li, C., Cao, B., Wu, Y., et al.: Multi-level energy efficiency monitoring in machine shops based on digital twin. Comput. Integr. Syst.1–24 (2023). http://kns.cnki.net/kcms/detail/11.5946.TP.20230607.0958.002.html
5. Cao, W., Jiang, P., Jiang, K., et al.: Real-time data collection and visualization monitoring method for discrete manufacturing workshop based on RFID technology. Comput. Integr. Manuf. Syst. 23(02), 273–284 (2017). https://doi.org/10.13196/j.cims.2017.02.006