1. Introduction
Recently, more and more drones are used for the inspection of electrical facilities. However, when these drones approach a facility to obtain high-resolution photos, the distances between the power lines and drone are not accurately identified, which may lead to the drone becoming caught in the lines during maneuvers. If the drone becomes caught in a high-voltage power line, the drone may be destroyed; furthermore, the high-voltage lines may be damaged, thereby affecting numerous electrical facilities connected to these high-voltage lines. Therefore, a method for detecting power lines is required when drones are used in the vicinity of high-voltage power lines.
A commonly used method for the detection of high-voltage lines utilizes images or videos taken during the drone operation. This method acquires image data near the drone and extracts information involving the voltage lines using algorithms such as the Hough transform, Radon transform, and Line Segment Detector [
1,
2]. By extracting this power line information using this method, the presence of power lines near the drone can be detected. However, when detecting these lines using the captured images, it is difficult to determine the exact locations and distances of the lines.
Several previous studies have proposed the measurement of the voltage of high-voltage lines via non-contact methods [
3,
4,
5,
6]. However, these methods do not provide information on the location of these high-voltage lines. To obtain voltage measurements for high-voltage lines, the electric field was measured at a specific location and the measured electric field values were converted into voltages. For measurement of the electric field, a D-dot E-field sensor with a parallel distributed electrode was developed, and sensor arrays were constructed to measure the voltage.
In the case of high-speed railways, power at 60 Hz and 25 kV is supplied to the overhead line. When such a high voltage is applied to the overhead line, a strong electric field is generated around the overhead line. In this study, we propose a method for measuring electric fields such that drones may be able to detect high-voltage lines in their vicinity. Upon measuring an electric field, the presence of high-voltage lines in the surrounding area may be detected using the relative intensity of the measured electric field. Several methods have been proposed to obtain electric field measurement [
7,
8,
9,
10,
11,
12]. The most common method involves the use of a dipole antenna [
8]. When a dipole antenna is employed, the varying electric field is detected by the two wires of the dipole antenna. The intensity of the electric field can be estimated by determining the voltage applied across the two wires. However, dipole antenna may only be reduced to a certain size because the magnitude of the detected signals is reduced as the size of the antenna is reduced. If the antenna is small, considerable amounts of noise are included, leading to increased errors in the measured electric field. It has been reported that, for a small dipole antenna, the signal-to-noise ratio (SNR) of the electric field was decreased by four times the scaling factor when the SNR was measured with different antenna lengths [
10]. Therefore, it is advantageous to increase the size of the antenna when designing an antenna for measuring electric fields. Recently, a field mill sensor has been proposed to precisely measure the electric field in a high-voltage direct-current transmission line [
12]. The measurement results in an actual high-voltage environment using the sensor were presented, and the results were also quite accurate. However, since the size of the proposed sensor is large, it is not a suitable application for drones.
In this study, we proposed a method involving the use of a component of a drone to measure the electric field generated by high-voltage power lines. If the body of the drone is used as an electric field sensor, the size of the sensor can be made large; thus, it has the advantage of increasing the induced voltage of the sensor. Moreover, there is no need to reserve additional space for the electric field sensor. If the electric field is constantly monitored, the presence of high-voltage lines in the vicinity of the drone can be inferred when the measured electric field is higher than a set threshold value. The drone may then avoid high-voltage lines based on the measured electric field values. The remainder of this paper is structured as follows.
Section 2 examines the characteristics of general sensors and proposes a structure for the desired sensor such that it can be applied to drones.
Section 3 verifies the operation of the sensor under strong electric fields using laboratory and field experiments. Finally,
Section 4 outlines the findings and presents the conclusions of this study.
3. Results
To measure the voltage induced in the sensor with respect to the electric field, an experimental setup was constructed, as shown in
Figure 6. This setup reproduced a railway environment with overhead lines.
Figure 6a shows the overall configuration of the experimental setup, which consisted of a ground plane, overhead line, and voltage source. Typically, a high voltage of 60 Hz and 25 kV is supplied in the overhead lines of railway environments. Therefore, a voltage source of 60 Hz was used. In the experiment, the generated voltage was in the range of 1 to 25 kV. For the ground plane, a wide metal plate was used. The wide metal plate was connected to the ground of the voltage source, and the (+) terminal of the voltage source was connected to the overhead line. The overhead line was located 1.65 m above the ground plane. The length of the overhead line was 2 m. The ground plane and overhead lines were electrically disconnected. When a voltage was applied to the overhead line, an electric field was generated between the overhead line and ground plane. To examine the effects of the electric field on the proposed sensor, the proposed sensor (DUT) and a commercial electric field analyzer were placed between the overhead line and ground plane. An electric and magnetic field analyzer (EHP-50F) was used to measure the 60 Hz electric field in the vicinity of the overhead line. Data were acquired at various positions, and the details are presented in
Figure 6c. Because the electric field is a vector quantity, it has a direction. The x, y, and z directions of the field analyzer are indicated in
Figure 6b.
To examine the relationship between the proposed sensor and the measured electric field, the measured electric field and sensor voltages were compared with respect to changes in the supply voltage at position
e, as indicated in
Figure 6c.
Figure 7 shows the values of the measured electric field and the voltage measured by each proposed sensor when the supply voltage of the overhead line was increased from 1 to 25 kV. Over the electric field range of 0.5 to 10.1 kV/m, voltages of 0 to 0.77 V were measured by the proposed sensor. From these measured values, it can be seen that as the voltage is consistently increased, the intensity of the electric field also increases. Accordingly, the values of the voltage measured by the sensor also demonstrated a constant increase.
Next, the electric field and sensor voltage were measured from positions
a to
f, as indicated in
Figure 6c. The results are presented in
Table 4.
The proposed sensor has a structure that receives the electric field of each axis. However, since the distance between the ADC and the sensor exists when installing the sensor on the drone, lead wires are needed to electrically connect it. This lead wire also works as a part of the sensor. No matter how well the designed sensor receives only one-direction electric field, if it is manufactured, it can receive an electric field in the other direction. If the magnitude of the electric field measured in each direction is
Mx, My, and
Mz, and the voltage induced from the sensor in each direction is set as
Vx, Vy, Vz, the relationship between electric field and the induced voltage can be expressed as follows.
where the matrix
A is weighting matrix. If the coefficient of
A is determined, the electric field in each direction can be calculated from the voltage of the sensor. Using this, the magnitude of the total electric field can be calculated from the following equation.
where, we named
as the compensated sensor value.
To obtain the A matrix, the measured sensor values and electric field values from three points
d,
e, and
f in
Figure 6c were used. If there are measured values for three different points,
V vector and
M vector can be expressed in the form of a 3 × 3 matrix, the A matrix can be calculated from the following formula.
The compensated sensor values extracted from the calculated
A are shown on the right side of
Table 4. It can be seen that the measured electric field and sensor value at positions
a to
f show similar trends. For positions
d to
f, which are located at a distance of 0.7 m in the horizontal direction from positions
a to
c, the values of the electric field are observed to not be significantly affected by the height. The measured electric field and sensor voltage decrease as it approaches point
f.
Figure 8 shows the results of a simulation of the electric field intensity when a voltage of 25 kV is applied to the laboratory setup. It can be seen that the simulated electric field intensity shows a similar trend to the measured electric field intensity for each position of the sensor. The simulation result has a slightly lower electric field value than the measurement result. Considering the positions at which some discrepancies from the measured values are observed, these differences may have occurred because the simulation was unable to the accurately model the metal apparatus at these locations (i.e., the pantograph, supply power cable, etc.).
Figure 9 shows a real-world railway environment used to obtain experimental measurements. The electric field and the voltage of the sensor were measured at three points located 1.5 m from the center of the railway line. The measurement results are shown in
Table 5. The compensated sensor values are slightly higher than the measured electric field. However, the trend does not deviate. In the railway environment, the voltage applied to the overhead line was 25 kV, and the distribution of the simulated electric field in this experimental environment is shown in
Figure 10. The value of the simulated electric field at point g1 is 1.8 kV/m, which is lower than the measured value of 4.05 kV/m. In the real-world environment, several overhead lines with an applied voltage in the vicinity of the measurement positions may affect the obtained measurements, thereby resulting in higher values of the measured electric field.
From the above results, it can be seen that the proposed sensor produces compensated sensor values that are 7 V or greater in a large electric field environment. Therefore, if a system is designed such that it provides an indication when the measured sensor value is above a pre-determined value, a drone may be able to detect approaching the high-voltage lines. In this study, the measured voltage of the sensor was made in units of 0.01 V. Because this unit is not affected by ambient noise. If this value is roughly converted to an electric field value, it corresponds to 0.3 kV/m. Therefore, it can be seen that the proposed sensor has the resolution to distinguish an electric field of 0.3 kV/m.
4. Conclusions
In this study, a sensor for use in drones to measure electric fields in their surroundings is proposed to prevent contact between drones and high-voltage power lines. Because the voltage measurements achieved by the sensor are determined by the length of the sensor, a method for incorporating the body of the drone as a part of the sensor was proposed. In the structure of the proposed sensor, two dipole antenna structures were used to detect the electric field in the horizontal direction. In addition, to measure the electric field in the vertical direction, a structure using a metal plate and a metal post was proposed.
The voltage induced in the proposed sensor with respect to the electric field was measured in both laboratory and real-world railway environments. In the laboratory environment, the voltage of the proposed sensor was measured to be 0 to 0.77 V for an electric field in the range of 0.5 to 10.1 kV/m. In the real-world railway environment, the measured electric field was 4.05 kV/m at a height of 0.8 m, and the compensated sensor value was 4.54. The sensor proposed in this study may be used such that drones can detect high-voltage power lines through measurements of high electric fields.