• Laser & Optoelectronics Progress
  • Vol. 59, Issue 24, 2412001 (2022)
Xinyu Lu1, Qing Zhang2, Lifeng Ma2, Jie Ren2..., Min Zhang3, Jiansheng Wei1 and Shuguo Pan1,*|Show fewer author(s)
Author Affiliations
  • 1School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Jiangsu , China
  • 2State Grid Beijing Shijingshan Power Supply Company, Beijing 100040, China
  • 3Guodian Nanrui Nanjing Control System Co., Ltd., Nanjing 211106, Jiangsu , China
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    DOI: 10.3788/LOP202259.2412001 Cite this Article Set citation alerts
    Xinyu Lu, Qing Zhang, Lifeng Ma, Jie Ren, Min Zhang, Jiansheng Wei, Shuguo Pan. Early Warning Method and Device Design of Anti-Collision Line for Transmission Line Based on Multi-Source Sensing[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2412001 Copy Citation Text show less
    Device hardware. (a) Device hardware platform; (b) physical pictures of device hardware
    Fig. 1. Device hardware. (a) Device hardware platform; (b) physical pictures of device hardware
    Flowchart of device algorithm
    Fig. 2. Flowchart of device algorithm
    Flowchart of transmission line identification algorithm based on standard deviation clustering
    Fig. 3. Flowchart of transmission line identification algorithm based on standard deviation clustering
    Flowchart of millimeter wave radar ranging algorithm based on improved robust Kalman filter
    Fig. 4. Flowchart of millimeter wave radar ranging algorithm based on improved robust Kalman filter
    Schematic of extracting the minimum distance of each frame
    Fig. 5. Schematic of extracting the minimum distance of each frame
    Schematic of invalid target filtering
    Fig. 6. Schematic of invalid target filtering
    Schematic of extracting the minimum distance of the whole second
    Fig. 7. Schematic of extracting the minimum distance of the whole second
    Transmission line identification results based on standard deviation clustering
    Fig. 8. Transmission line identification results based on standard deviation clustering
    Experimental environment
    Fig. 9. Experimental environment
    Schematic of static experiment
    Fig. 10. Schematic of static experiment
    Static experimental data. (a) Original data; (b) data processed by the ranging algorithm
    Fig. 11. Static experimental data. (a) Original data; (b) data processed by the ranging algorithm
    Schematic of dynamic experiment. (a) Vertical reciprocating motion; (b) horizontal reciprocating motion
    Fig. 12. Schematic of dynamic experiment. (a) Vertical reciprocating motion; (b) horizontal reciprocating motion
    Vertical dynamic experimental data. (a) Original data; (b) data processed by the ranging algorithm
    Fig. 13. Vertical dynamic experimental data. (a) Original data; (b) data processed by the ranging algorithm
    Horizontal dynamic experimental data. (a) Original data; (b) data processed by the ranging algorithm
    Fig. 14. Horizontal dynamic experimental data. (a) Original data; (b) data processed by the ranging algorithm
    Fusion experiment of millimeter wave radar ranging and visual recognition. (a) Fusion diagram; (b) analysis of experimental data
    Fig. 15. Fusion experiment of millimeter wave radar ranging and visual recognition. (a) Fusion diagram; (b) analysis of experimental data
    Voltage grade≤1 kV1-10 kV35-110 kV154-220 kV350-500 kV
    Safe distance4 m6 m8 m10 m15 m
    Table 1. Early warning condition of device
    ParameterOriginal dataFinal data
    Mean distance/m11.581711.0073
    Distance variance /m0.18920.0000
    Table 2. Data analysis before and after algorithm processing in static experiment
    Xinyu Lu, Qing Zhang, Lifeng Ma, Jie Ren, Min Zhang, Jiansheng Wei, Shuguo Pan. Early Warning Method and Device Design of Anti-Collision Line for Transmission Line Based on Multi-Source Sensing[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2412001
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