Research on the Automatic Stripping Technology of Cable Sheath and Shield Layer Assisted by Multi-Sensor System

DOI: https://doi.org/10.62517/jes.202402410

Author(s)

Zhenwu Zhu, Xian Cao

Affiliation(s)

State Grid Hubei Electric Power Co., Ltd. Huangshi Power Supply Co., Huangshi, Hubei, China

Abstract

This paper aims to improve the precision and efficiency of cable sheath and shield layer stripping by integrating multi-sensor systems. The proposed system combines optical, temperature, and pressure sensors to monitor and control key parameters in the stripping process. Optical sensors are used to track the relative position of the cable and tool, while temperature sensors monitor the heat generated during stripping to prevent overheating. Pressure sensors ensure proper clamping force, maintaining cable stability during stripping. Experimental results show that the proposed method significantly improves stripping accuracy, reduces tool wear, and enhances production efficiency compared to traditional manual methods. The originality of this work lies in the integration of multiple sensors to optimize the stripping process in real-time, which leads to higher accuracy and longer tool lifespan.

Keywords

Multi-Sensor System; Cable Stripping; Automation; Optical Sensing; Temperature Monitoring; Pressure Control

References

[1]Fan Hongjing. A review of cable insulation stripping technology patents. Science and Technology Innovation, 2018, 33): 168-169. [2]Zhou Changchun, Sun Lei, Yang Junfeng. Discussion on the stripping method of the semiconductor layer of 35kV power cables. China Petroleum and Chemical Industry, 2013, 08): 42-43. [3]Zhao Zhidong, Xu Ge, Zhang Guanjun, et al. Design and application of a stripping device for the outer semi-conductive layer of 110kV corrugated aluminum sheath cables based on adaptive. Electrical Technology and Economy, 2023, 08): 178-181. [4]Hou Hansen, Liu Haichuan, Liu Zhanyu. Analysis of SF6 optical sensors based on differential detection technology. China Equipment Engineering, 2021, 21): 165-166. [5]Gao Bingtao, Sun Haitao, Huo Ruidong, et al. Research on temperature response characteristic calibration device for pressure sensors. Aerospace Measurement and Testing Technology, 2024, 4404): 17-22. [6]Wang Shuqing, Nie Wei, Wang Boxun. Research on the application and research of sensors in CNC machine tools. Science and Technology Communication, 2012, 11): 72-73. [7]Yang Guiyao. Research on fault diagnosis and maintenance strategies of Siemens PLC in industrial automation systems. Instrumentation Users, 2024, 3110): 64-66. [8]Mu Jiuhong. Research on high-voltage power cable joint defect identification based on image recognition. Chongqing University, 2021. [9]Xu Haifeng. Design and simulation of a deep hole machining tool temperature control system based on fuzzy PID control. Industrial Control Computer, 2024, 3710): 49-50+52. [10]Wang Na. Stability analysis of cutting machine tool processing based on big data fuzzy PID control. Machinery and Electronics, 2022, 4007): 17-21.