Research on the Evaluation System of Green Cabling of Cables Based on Neural Network

https://doi.org/10.61187/ita.v1i2.37

Authors

  • Lingqi Meng Shenyang University of Technology, Liaoyang 111003, Liaoning, China

Keywords:

Cable, Shield machine, Three-dimensional, Green cabling, Prototyping

Abstract

This paper mainly focuses on the results of the virtual wiring of the supporting trailer line behind the shield machine, and on this basis, the construction of the green evaluation system of the three-dimensional path of the cable is explored based on the neural exploration, so as to evaluate the excellence of the constructed path, make a reliable and realistic evaluation of the path planning, make the experimental results more realistic, and improve the calculation efficiency of the algorithm. Finally, the algorithm is applied to the cable layout in 3D space and the example analysis is carried out, and the simulation results prove the feasibility and effectiveness of the experimental results. Finally, the AxureRP9 was used for system prototyping. The purpose is to build a prototype of the web version of the green wiring evaluation system that has been operated and has a wide range of applications.

Downloads

Download data is not yet available.

References

Song, Q. Research on three-dimensional path planning technology of electromechanical products cable. Nanjing, Nanjing University of Aeronautics and Astronautics, 2018. (in Chinese)

Wang, F,. Liao W., Guo Y., et al. Three Dimensional Space-wiring Technology for Cable Harness Based on Multi-scale Chaotic Mutation Particle Swarm Optimization Algorithm. Journal of Mechanical Engineering, 2017, 53(09): 144-156. (in Chinese) https://doi.org/10.3901/JME.2017.09.144 DOI: https://doi.org/10.3901/JME.2017.09.144

Zhao, W., Xu M,. Zhang J., et al. Application of BP Neural Network in Mine Ecological Security Evaluation. Coal Technology, 2019, 38(01): 172-175. (in Chinese) https://doi.org/10.13301/j.cnki.ct.2019.01.059

Yu, L., Shi F., Wang H., et al. MATLAB intelligent algorithm 30 case analysis. Beijing: Beihang University Press, 2015. (in Chinese)

Xiao, L. Improvement of BP Xi algorithm and its convergence speed. Yinshan Academic Journal(Natural Science Edition), 2003, (01): 38-39. https://doi.org/10.13388/j.cnki.ysajs.2003.01.086 (in Chinese)

Xu, F. Identification of FPGA cost of the resources. Xi’an, Xidian University, 2014. (in Chinese)

Published

2023-12-31

How to Cite

Meng , L. (2023). Research on the Evaluation System of Green Cabling of Cables Based on Neural Network. Innovation & Technology Advances, 1(2), 25–31. https://doi.org/10.61187/ita.v1i2.37