Early Warning Method of Transmission Tower Inclination in Goaf Based on Magnetic Field Sensing and Beidou Positioning

doi:10.11985/2020.03.006

Abstract

Abstract:

The existing monitoring and early-warning methods of transmission tower tilting in goafs have the shortcomings of weak real-time monitoring, low accuracy, and affected by a single parameter. Aiming at this problem, a tilt monitoring and early warning method for transmission towers in mined-out areas based on magnetic field sensing and Beidou positioning is proposed. First, a magnetic field sensing model of a transmission tower in a goaf is established, and the magnetic flux density of the transmission line is calculated. Then, combined with Beidou satellite positioning technology, based on the two-factor hierarchical superposition method, the tower’s tilting danger level is determined while monitoring the operating status of the tower. Finally, the calculation results of the three kinds of fault situations show that compared with the traditional method of relying on a single method for the monitoring and early warning of transmission tower conditions, the accuracy of the proposed method has increased by an average of 8.66% or more, and the reaction speed of faults has increased on average. It is more than 38.01%, which verifies the effectiveness and superiority of the proposed method.

Key words: Goaf, transmission tower, magnetic field sensing, Beidou positioning, tilt monitoring, failure warning

CLC Number:

TM75

ZAI Hongbin,HAN Haian,SHANGGUAN Mingxia,SHAN Rongrong. Early Warning Method of Transmission Tower Inclination in Goaf Based on Magnetic Field Sensing and Beidou Positioning[J]. Journal of Electrical Engineering, 2020, 15(3): 44-49.

Figures/Tables 11

References 16

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杆塔状态	危险程度
杆塔状态	正常	预警	危险
塔基座位置不变	α≤0.5% G_S=1	0.5%≤α≤1% G_S=2	α≥1% G_S=3
塔基座位置变动	α≤0.4% G_S=1.5	0.4%≤α≤0.8% G_S=2.5	α≥0.8% G_S=4

杆塔危险指数G	故障严重程度预警百分比(%)
1~4	0~25
5~8	26~50
9~12	51~75
13~16	76~100

故障情况	故障部位	故障原因
1	输电线	输电线距地面最低点的高度下垂至l=8 m
2	A相电流	A相发生-4°相移
3	B相电流	B相磁通波动增加至0.4％