Research Article | | Peer-Reviewed

Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method

Received: 16 June 2024     Accepted: 2 July 2024     Published: 15 July 2024
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Abstract

In the construction of overhead distribution network lines, ensuring the stability and construction quality of utility pole foundations is crucial. Traditionally, this process may involve excavation and direct inspection, which is not only time-consuming but may also cause environmental damage. The non-destructive detection scheme proposed in this paper, based on the transient electromagnetic method (TEM), offers an efficient and non-intrusive method for detecting the burial conditions of utility pole bases, pulls, and chucks. The transient electromagnetic method is a geophysical exploration technique that uses the principle of electromagnetic induction to detect the distribution of underground materials. When detecting utility pole bases, this method analyzes the electromagnetic response generated by underground metallic structures to obtain information. However, traditional TEM has a blind zone problem in shallow metal detection, which limits its application in utility pole base inspection. To address this issue, the scheme proposed in this paper introduces a decoupling coil to eliminate interference caused by the primary magnetic field. This decoupling technology significantly improves the detection discrimination, allowing for a more accurate determination of the burial depth and condition of bases, pulls, and chucks. Finite element numerical analysis using COMSOL 5.4 is adopted to examine the underground magnetic field distribution and optimize coil parameters. This analysis helps to understand the interaction between the electromagnetic field and underground structures, guiding the design of coils and the development of detection strategies. The prototype experimental platform built further validates the effectiveness of the scheme. Experimental results include measured data of magnetic field variations, assessments of detection depth and resolution. These experimental results are crucial for verifying the practical application potential of the non-destructive detection scheme.

Published in Science Journal of Energy Engineering (Volume 12, Issue 1)
DOI 10.11648/j.sjee.20241201.12
Page(s) 7-15
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Transient Electromagnetic (TEM) Method, Decoupling, Mental Detection, Non-Destructive Testing, Utility Pole, Base

1. Introduction
To prevent the utility poles of transmission and distribution lines from being pulled up, sinking and lodging, the base, pull and chuck (BPC) are often used for reinforcement. In practical application, to check whether the depth of underground base reaches the standard, manual soil excavation is often used for sampling inspection of the BPC. However, manual excavation is time-consuming, laborious, and inefficient, and the facility may be damaged during trenching process. Therefore, it is necessary to use non-excavation technology to detect whether the installation depth of underground BPC meets the standard. Generally, BPC are made of steel mesh and concrete, thus the detection can be achieved by inspecting internal steel structure.
Transient Electromagnetic Method (TEM) is a time domain electromagnetic exploration method, which is widely used in mineral exploration, geothermal and crustal structure investigation, geophysical and engineering exploration. TEM detection is also one of the most important methods of metal detection. Thus, this paper intends to apply TEM to detect BPC. Conventional TEM detection system mainly comprises transmitting and receiving coils. The pulse current is employed as excitation source. While current in transmitting coil is suddenly turned off, high di/dt generates a high magnetic field which is denoted as “primary field”. Induced current, known as eddy current or secondary current, is formed when primary magnetic field encounter underground ferromagnetic substance. Such time-varying secondary current also generates new magnetic field which is denoted as “secondary field”. Eigenvalues extracted from the secondary field can be applied to determine the characteristics and location of targeted objects. However, owing to the inductive transmitting coil, current in the transmitting coil does not abruptly go to zero after the switch is turned off. Residual primary field generated by that transient current will induce disturbing voltage on the receiving voltage at the very early time, which makes it difficult to acquire the pure signal induced by secondary field. Confined by the transient process of transmitting coil mentioned above, early receiving signal of conventional TEM detection is ignored, which forms a detection blind zone within 0~20 meters. The depth of underground BPC is generally in the depth interval 0~3 meters, which just falls in this detection blind zone. And as a result, the interference from the primary field is inevitable. What’s more, compared to BPC, metal structures inside the utility pole and pull wire are larger and closer to the detection device, which generates larger interference signals. It is crucial to suppress the interference mentioned above.
Based on the principle of space magnetic field cancellation, a decoupling coil is introduced to offset induced voltage generated by primary field and utility pole. After extracting decoupled receiving voltage, the depth of detection objects can be accurately obtained, which reaches the requirement of the non-destructive examination for underground BPC of the utility pole.
2. Item Detection System
2.1. Detection Objects
Figure 1 illustrates the overall diagram of the detection system, which is mainly composed of the detection object, coil system, data acquisition system and pulse current source circuit. Detection object contains utility pole, base, pull, chuck and pull wire. The coil system mainly includes transmitting, receiving and decoupling coils. Considering the signal characteristics and detection requirements, air-core coils are adopted. Data acquisition system collects and processes the weak differential voltage of receiving and decoupling coils. There are many types of BPC affiliated to different utility poles. In this paper, the utility pole, D-40-09, with its supporting BPC is selected as the research target, and corresponding parameters are shown in Table 1.
Figure 1. Schematic of detection object and system.
Table 1. Parameters of detection objects.

Size (m)

Depth (m)

Utility pole

15.00

3.00

Base

0.60×0.53×0.15

3.00

Pull

0.95×0.50×0.28

1.25

Chuck

0.80×0.30×0.25

1.50

2.2. Principle of TEM Detection
To clarify the correlation between detection coils and targeted objects, metal conductor in detection objects is simplified as a coil, and eddy current generated in the conductor is equivalent to the current in the equivalent coil. After reasonable simplification, equivalent mutual inductance model of the detection system in Figure 2 can be obtained. Figure 2(a) and (b) are the conventional and proposed TEM equivalent model respectively. In Figure 2, coil 1 and 2 are the transmitting and receiving coil respectively; coil 3 and 4 are equivalent coils of the targeted object and utility pole respectively; coil 5 is the decoupling coil. ik, uk, (k =1~ 4) are the current and voltage in coil i of conventional TEM detection model. i'k, u’k, (k=1~5) are the current and voltage in coil i of proposed TEM detection model. h is the distance between transmitting and receiving coil. H is the distance between transmitting coil and targeted object.
Figure 2. (a) the conventional TEM equivalent model. (b) TEM equivalent model with a decoupling coil.
According to the mutual inductance model in Figure 2(a), after ignoring coil resistance, the current and voltage in the conventional TEM detection equivalent model satisfy the following equation .
(1)
where Mij (i, j=1~4; i j) is the mutual inductance between coil i and j, and Lii (i = 1~ 4) is the self-inductance of coil i. Generally, receiving coil is usually highly resistive and approximately considered as open circuit, which means i2 ≈ 0. The Receiving voltage urec(t) can be written as
(2)
According to Faraday’s law of electromagnetic induction, eddy currents induced by ferromagnetic materials within the detection object and utility pole are respectively expressed as
(3)
(4)
τ3, τ4 are time constants, which are determined by equivalent inductance and resistance of the two coils. Since mutual inductance between the two equivalent coils (3 and 4) and eddy current in the coils is relatively small, the second term in (3) and (4) can be ignored. After bringing simplified (3) and (4) into (2), receiving voltage can be expressed as
(5)
where , , .
urec,1(t) is the primary field induced voltage; urec,2(t) is the effective receiving voltage induced by eddy current in detection object; urec,3(t) is the induced voltage produced by eddy current in utility pole and pull wire. Magnetic fields from coil 3 and 4 are generated by eddy current, and eddy current i3,4 are much smaller than conducting current in transmitting coil. Thus the receiving voltage satisfies: urec,1(t) >> urec,2(t), urec,1(t) >> urec,3(t), which shows that the receiving voltage urec(t) is mainly determined by urec,1(t). Meanwhile, the volume of utility pole is much larger than that of the detection object, so the mutual inductance in equation (5) satisfies: M14 >> M13, M24 >> M23 and secondary field induced voltage meets urec,3(t) > urec,2(t). The proportion of effective receiving voltage urec,2(t) in the summation of the receiving voltage urec(t) is very small. It is difficult to extract the tiny change of urec,2(t) caused by distance change of detection object from the receiving voltage urec(t).
To effectively distinguish urec,2(t) from urec(t), urec,1(t) and urec,3(t) must be reduced. Therefore, a decoupling coil is introduced to reduce their interference. Decoupling TEM coil can be arranged in various ways. Considering that the induced voltage generated by transmitting coil and utility pole should be simultaneously decoupled, receiving and decoupling coils are symmetrically placed with respect to transmitting coil, which is shown in Figure 2 (b). The parameters of the decoupling and receiving coils should be the same.
(6)
According to TEM equivalent model in Figure 2 (b), (6) is obtained. M'ij (i,j = 1~5; i j) is the mutual inductance between coil i and j, and L'ii is the self-inductance of coil i. Since decoupling and receiving coils are highly symmetrical, there is M'12 = M'15. Currents in receiving and decoupling coils are approximately 0, and effective receiving voltage is the differential voltage of u'2(t) and u'5(t). Effective receiving voltage u'rec(t) can be presented as
(7)
The receiving voltage u'rec(t) does not contain primary field induced voltage, so the interference from the primary field is fully eliminated. In addition, utility pole is long straight distribution and perpendicular to transmitting coil, so magnetic line generated by equivalent coil 5 is evenly and simultaneously cross-link decoupling and receiving coils, and magnetic field distribution is approximately symmetrical, which can cancel interference introduced by utility pole. This process suppresses the interference from utility pole. Although the effective receiving voltage is partially weakened, there is no primary field induced voltage in receiving voltage, and the secondary field induced voltage produced by utility pole has been well suppressed. The effective voltage is comparable with the incomplete decoupling voltage; hence small change of the targeted object position can be reflected in the receiving voltage. Adding a decoupling coil can improve the accuracy of the effective receiving voltage.
As the utility pole is approximately symmetrical with respect to receiving and decoupling coils, M24 M25 is easily deduced, and (7) can be further simplified to (8).
(8)
The time-varying secondary field generated by eddy current in equivalent coil 3 induces voltage ε2(t) and ε5(t) in receiving and decoupling coils. After combining simplified (3), the effective receiving voltage u're c(t) can be presented as
(9)
where , , .
Effects of exciting source on receiving voltage u'rec(t) can be presented in a1. Since the shape and material of detection objects are all standardized, intrinsic attributes of detection object, noted as a3, are all identical. The only component related to the depth of detection objects is a2. After determining the parameters of excitation source, detection objects and coils are all selected, the effective receiving voltage is mainly determined by mutual inductance between coil 1,2,4 and their parameters. Under specific detection depth, mutual inductance is affected by the distance h between receiving, decoupling and transmitting coils. As shown in Figure 2(b), in principle, larger distance between the coils results in higher differential voltage. However, confined by coil placement, an increase in h will finally increase H, which leads to the decrease of actual a2. There is a theoretical optimum h whose specific value is related to the coil parameters, which will be discussed in Sector III. After determining h, a2 is mainly determined by the distance between detection object and transmitting coil H. The receiving voltage can be used to deduce the depth of the detecting object.
2.3. Design of the Pulse Excitation Source Circuit
The pulse current source circuit shown in Figure 3 is designed considering safety and portability. This circuit consists of a transmitting coil, a 1700 V IGBT, a DC power supply and auxiliary buffer elements. RL and L are equivalent resistance and inductance of transmitting coil; power supply Ve is a 24 V lithium battery; R0 is used for current limiting; RC are in parallel with IGBT. di/dt of the circuit is larger at the falling edge than at the rising edge, so falling edge is used as the effective period in detection. In this design, 50ms/5s signal is applied as the IGBT trigger.
Figure 3. Schematic of the pulse current source circuit.
Figure 4. (a) Current waveform at falling edge. (b) Voltage waveform during stage II.
Voltage and current waveforms of the pulse current source at falling edge are shown in Figure 4. In stage I, the pulse current reaches a steady state. The current in the loop does not change at the beginning of stage II, but smoothly changes from stage I to II. During this transition, IGBT converts from conducting state to off state, causing a sudden change in transmitting voltage across the coil in Figure 4(b). During stage II, IGBT has been completely turned off, and a second-order RLC series circuit is formed when the current flows through RC snubber circuit, and the peak voltage is generated at current zero-crossing point. In stage III, the pulse current flows through the body diode, and RL circuit is generated for RC snubber circuit is bypassed. The coil current slowly changes from negative to positive. After stage III, the body diode cuts off, and RLC oscillation circuit is formed again. Oscillation exponential attenuation waveform forms in the voltage and current of the transmitting coil during stage IV.
2.4. Oscillation Suppression of Receiving Coil
It should be noted that sudden change of the transmitting current introduced by IGBT turn-off at the beginning of stage II in Figure 4 will finally be applied to receiving coil through electromagnetic induction, which may result in high-frequency oscillation in receiving coil. The equivalent circuit diagram of receiving coil is shown in Figure 5. e is the coil induced voltage. r, L and Cr are receiving coil resistance, inductance and distribution capacitance respectively, which are related to the coil winding form, the number of turns and geometric parameters. Rin and Cin are input resistance and capacitance of amplifier. RD is the damping resistor. To simplify analysis, C = Cr + Cin and R = Rin // RD are defined. In general, Rin >> RD, so R = Rin // RDRD. The 2-order equivalent circuit of receiving coil can be expressed as
(10)
When t ≥ 0, (10) is a homogeneous equation, and solution of this characteristic equation is
(11)
where , , .
Figure 5. Equivalent circuit diagram of receiving coil.
According to (11), while K < 1, the step signal included in pulsed current cause oscillation in the receiving coil, which results in serious distortion of receiving voltage.
The step signal introduced by IGBT turn-off and freewheeling diode cut-off in the transmitting coil is unavoidable. While working under over-damped or critical damped conditions, K ≥ 1, oscillation is completely suppressed. However, overdamp (K > 1) may decrease output voltage um, which leads to lower signal-to-noise ratio (SNR). Damping resistor RD should be selected to operate near critical damped conditions for oscillation suppress and smaller effective receiving voltage slash.
3. Simulation and Experiments
3.1. Simulation Study of PBC Detection
Theoretical analyses in Sector II show that effective receiving voltage is closely relative to coil parameters and their position. However, it is quite difficult to solve such model by analytical methods. In this paper, finite element simulation software COMSOL is used to determine coil parameters. A three-dimensional model with the pull as the detection object in Figure 6 is built in COMSOL 5.4, which is identical to Figure 1. Transmitting, receiving and decoupling coils are symmetrical. Coil diameter D is the mainly factor that affects receiving voltage. With the same detection depth, coil distance h and coil turn, the peak value of decoupled receiving voltage under varied coil diameter D is plotted in Figure 7.
Figure 6. Three-dimensional simulation model in COMSOL.
Figure 7. Correlation between coil diameter and peak receiving voltage.
Figure 7 shows that decoupled receiving voltage is promoted after increasing coil diameter. However, larger diameter is more vulnerable to ambient electromagnetic noise, which deteriorates detection resolution. Therefore, smaller diameter is advisable while ensuring the required detection depth. Simulation curves in Figure 8 show that peak value of the receiving voltage slowly increases under D > 0.6 m, so coil diameter is set to 0.6 m to reach a compromise between larger receiving voltage and lower ambient electromagnetic noise. Coil turn n directly effects the amplitude of receiving voltage and transient characteristics, and the number of turns is preset as 30. According to long-term TEM simulation and experiments, the optimum value of coil distance h is close to 0.5D. Simulation parameters are preset as follows: D = 0.6 m, n = 30, h = 0.3 m.
Figure 8. Receiving voltage waveform of simulation at falling edge.
After adjusting the buried depth of the pull, decoupled receiving voltage waveform shown in Figure 8 is obtained. The Waveform of receiving voltage is consistent with that of the transmitting coil. The change of the distance between pull and transmitting coil causes the peak voltage to change. The depth of the targeted object can be determined by detecting the induced differential voltage of the receiving and decoupling coils.
3.2. Experiment Result
The induced voltage produced by eddy current in receiving and decoupling coils is relatively small, therefore it is necessary to amplify the original signal and use amplified signal to deduce the depth of detecting object. In acquisition system, MODEL SR560 with maximum gain of 500,000 is used as low-noise preamplifier, which is capable of amplifying this weak induced voltage produced by eddy current. NI PXIe-5105 module with maximum sampling rate of 60 MHz is used as data acquisition card. In this experiment, the preamplifier is set as low-pass filter with 30 kHz cut-off frequency to suppress ambient electromagnetic noise. The Preamplifier gain is adjusted according to receiving voltage strength to acquire appropriate voltage range. Receiving and decoupling coils with a diameter 0.6 m are finally designed. Coils are wound with 0.40 mm enameled wire with 15 turns per layer and 30 turns in total. In winding process, number of turns in each layer is strictly controlled, and inductance, distributed capacitance and resistance of decoupling and receiving coils are strictly consistent. The Detection prototype is shown in Figure 9. The Simulation shows that peak value of the receiving voltage corresponds to the fastest change of the current in transmitting coil. Therefore, peak voltage of receiving coil is selected as the eigenvalue in depth detection.
Affected by the interference from experimental equipment and ambient electromagnetic noise, the receiving voltage contains white noise, impulse and burrs. Therefore, the average value of multiple measurements is adopted to further enhance SNR.
Figure 9. Prototype test platform for BPC Detection.
Figure 10. (a) Curves of receiving voltage with depth ranging from 0.5 m to 3.0 m. The curve, denoted “blank”, is obtained without detection objects. Due to ambient electromagnetic noise, receiving voltage curves are processed by taking 5 data sets for the mean filter in each depth scale. (b) Curves of the effective receiving voltage after subtracting the incomplete decoupling voltage. (c) Fitting curve of receiving voltage versus depth.
Owing to minor differences of coil parameters in production, there is still a small incomplete decoupling voltage in receiving voltage, which can be seen from curve “blank’ in Figure 10(a). Incomplete decoupling voltage should be deducted from receiving voltage. After subtracting the incomplete receiving voltage from receiving voltage, the effective receiving voltage waveform is shown in Figure 10(a), which is consistent with the simulation waveform in Figure 8.
As BPC and utility pole are all standardized, the buried depth of target objects is reversely resolved through the effective receiving voltage. The correlation between receiving peak voltage and detection depth is obtained by experiment. This relation is approximately exponential, so curve fitting function u(h) = aebH + c is introduced. Based on the received voltage in Figure 10(b), the relation is obtained as follows
(12)
The goodness of fit is r2 = 0.9991, which shows that fitting effect is acceptable (H ≤ 3m). Comparing experiment results with the simulation curve, owing to incomplete decouple, there is an offset voltage in experiment wave, but the trend of the voltage waveform of the receiving coil is identical. The depth of the targeted objects can be obtained by solving (12). Above methods can be extend to the detection of base and chuck.
4. Conclusions
This paper presents an innovative technique for detecting utility pole BPC using the TEM, while also introducing a decoupling coil to minimize interference caused by the primary field. The mathematical underpinnings of the proposed detection method are explained in depth, and the model’s validity is confirmed through a comparison with the traditional TEM detection model. Optimization of coil parameters is achieved via finite element numerical analysis, and a prototype experimental platform is created. Simulation results and experimental data both confirm the proposed detection scheme’s capability to precisely determine the depth of BPC.
In essence, this research introduces a non-destructive detection scheme that successfully overcomes the blind zone limitations of conventional TEM for shallow metal detection, thanks to a combination of sophisticated numerical simulation and rigorous experimental validation. This approach not only upgrades the quality and efficiency of overhead distribution network line construction but also reduces environmental harm, thereby fostering the sustainable growth of the power industry. With ongoing technological progress and refinement, this non-destructive detection scheme is expected to emerge as a standard tool for inspecting and maintaining power infrastructure.
Abbreviations

TEM

Transient Electromagnetic Method

BPC

Base, Pull and Chuck

Author Contributions
Jun Zhou: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Tianyi Tao: Data curation, Formal Analysis, Funding acquisition, Investigation, Resources, Validation, Visualization
Lingda Xu: Funding acquisition, Investigation, Project administration, Resources, Supervision, Validation
Yonglin Zhi: Funding acquisition, Investigation, Project administration, Resources, Supervision, Validation
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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Cite This Article
  • APA Style

    Zhou, J., Tao, T., Xu, L., Zhi, Y. (2024). Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method. Science Journal of Energy Engineering, 12(1), 7-15. https://doi.org/10.11648/j.sjee.20241201.12

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    ACS Style

    Zhou, J.; Tao, T.; Xu, L.; Zhi, Y. Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method. Sci. J. Energy Eng. 2024, 12(1), 7-15. doi: 10.11648/j.sjee.20241201.12

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    AMA Style

    Zhou J, Tao T, Xu L, Zhi Y. Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method. Sci J Energy Eng. 2024;12(1):7-15. doi: 10.11648/j.sjee.20241201.12

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  • @article{10.11648/j.sjee.20241201.12,
      author = {Jun Zhou and Tianyi Tao and Lingda Xu and Yonglin Zhi},
      title = {Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method
    },
      journal = {Science Journal of Energy Engineering},
      volume = {12},
      number = {1},
      pages = {7-15},
      doi = {10.11648/j.sjee.20241201.12},
      url = {https://doi.org/10.11648/j.sjee.20241201.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20241201.12},
      abstract = {In the construction of overhead distribution network lines, ensuring the stability and construction quality of utility pole foundations is crucial. Traditionally, this process may involve excavation and direct inspection, which is not only time-consuming but may also cause environmental damage. The non-destructive detection scheme proposed in this paper, based on the transient electromagnetic method (TEM), offers an efficient and non-intrusive method for detecting the burial conditions of utility pole bases, pulls, and chucks. The transient electromagnetic method is a geophysical exploration technique that uses the principle of electromagnetic induction to detect the distribution of underground materials. When detecting utility pole bases, this method analyzes the electromagnetic response generated by underground metallic structures to obtain information. However, traditional TEM has a blind zone problem in shallow metal detection, which limits its application in utility pole base inspection. To address this issue, the scheme proposed in this paper introduces a decoupling coil to eliminate interference caused by the primary magnetic field. This decoupling technology significantly improves the detection discrimination, allowing for a more accurate determination of the burial depth and condition of bases, pulls, and chucks. Finite element numerical analysis using COMSOL 5.4 is adopted to examine the underground magnetic field distribution and optimize coil parameters. This analysis helps to understand the interaction between the electromagnetic field and underground structures, guiding the design of coils and the development of detection strategies. The prototype experimental platform built further validates the effectiveness of the scheme. Experimental results include measured data of magnetic field variations, assessments of detection depth and resolution. These experimental results are crucial for verifying the practical application potential of the non-destructive detection scheme.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Detection of Underground Utility Pole Base for Distribution Transmission Network Based on Transient Electromagnetic Method
    
    AU  - Jun Zhou
    AU  - Tianyi Tao
    AU  - Lingda Xu
    AU  - Yonglin Zhi
    Y1  - 2024/07/15
    PY  - 2024
    N1  - https://doi.org/10.11648/j.sjee.20241201.12
    DO  - 10.11648/j.sjee.20241201.12
    T2  - Science Journal of Energy Engineering
    JF  - Science Journal of Energy Engineering
    JO  - Science Journal of Energy Engineering
    SP  - 7
    EP  - 15
    PB  - Science Publishing Group
    SN  - 2376-8126
    UR  - https://doi.org/10.11648/j.sjee.20241201.12
    AB  - In the construction of overhead distribution network lines, ensuring the stability and construction quality of utility pole foundations is crucial. Traditionally, this process may involve excavation and direct inspection, which is not only time-consuming but may also cause environmental damage. The non-destructive detection scheme proposed in this paper, based on the transient electromagnetic method (TEM), offers an efficient and non-intrusive method for detecting the burial conditions of utility pole bases, pulls, and chucks. The transient electromagnetic method is a geophysical exploration technique that uses the principle of electromagnetic induction to detect the distribution of underground materials. When detecting utility pole bases, this method analyzes the electromagnetic response generated by underground metallic structures to obtain information. However, traditional TEM has a blind zone problem in shallow metal detection, which limits its application in utility pole base inspection. To address this issue, the scheme proposed in this paper introduces a decoupling coil to eliminate interference caused by the primary magnetic field. This decoupling technology significantly improves the detection discrimination, allowing for a more accurate determination of the burial depth and condition of bases, pulls, and chucks. Finite element numerical analysis using COMSOL 5.4 is adopted to examine the underground magnetic field distribution and optimize coil parameters. This analysis helps to understand the interaction between the electromagnetic field and underground structures, guiding the design of coils and the development of detection strategies. The prototype experimental platform built further validates the effectiveness of the scheme. Experimental results include measured data of magnetic field variations, assessments of detection depth and resolution. These experimental results are crucial for verifying the practical application potential of the non-destructive detection scheme.
    
    VL  - 12
    IS  - 1
    ER  - 

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