An IoT-Based System for Monitoring the Health of Guyed Towers in Overhead Power Lines

Dias, Cláudio Ferreira; Oliveira, Juliane Regina de; Mendonca, Lucas Diogo De; Almeida, Larissa Medeiros de; Lima, Eduardo Rodrigues de; Wanner, Lucas

doi:10.3390/s21186173

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…The authors of [24] presented only a short review of structural health monitoring of historic buildings. Other papers addressed the monitoring of electrical towers [25,26] with wireless systems or vibration inspection systems for offshore platform structures [27]. Some projects analyzed injuries due to telluric movements, evaluating the performance of prototypes during and after earthquakes [28,29].…”

Section: Introductionmentioning

confidence: 99%

Buildings’ Biaxial Tilt Assessment Using Inertial Wireless Sensors and a Parallel Training Model

Sánchez-Fernández

Sánchez-Pérez

Hernández

et al. 2023

Sensors

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Applications of MEMS-based sensing technology are beneficial and versatile. If these electronic sensors integrate efficient processing methods, and if supervisory control and data acquisition (SCADA) software is also required, then mass networked real-time monitoring will be limited by cost, revealing a research gap related to the specific processing of signals. Static and dynamic accelerations are very noisy, and small variations of correctly processed static accelerations can be used as measurements and patterns of the biaxial inclination of many structures. This paper presents a biaxial tilt assessment for buildings based on a parallel training model and real-time measurements using inertial sensors, Wi-Fi Xbee, and Internet connectivity. The specific structural inclinations of the four exterior walls and their severity of rectangular buildings in urban areas with differential soil settlements can be supervised simultaneously in a control center. Two algorithms, combined with a new procedure using successive numeric repetitions designed especially for this work, process the gravitational acceleration signals, improving the final result remarkably. Subsequently, the inclination patterns based on biaxial angles are generated computationally, considering differential settlements and seismic events. The two neural models recognize 18 inclination patterns and their severity using an approach in cascade with a parallel training model for the severity classification. Lastly, the algorithms are integrated into monitoring software with 0.1° resolution, and their performance is verified on a small-scale physical model for laboratory tests. The classifiers had a precision, recall, F1-score, and accuracy greater than 95%.

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Section: Introductionmentioning

confidence: 99%

Buildings’ Biaxial Tilt Assessment Using Inertial Wireless Sensors and a Parallel Training Model

Sánchez-Fernández

Sánchez-Pérez

Hernández

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The proposal presented here is in line with the current trend of operating power lines at their maximum instantaneous capacity, since it allows the current rating to be adapted to existing weather conditions in real-time. In addition, it is simple to apply, requires a low computational burden, and is compatible with the Internet of Things (IoT), one of the crucial technologies that improves smartness in many industrial, power line and smart grid applications [ 29 , 30 , 31 ], whose basic function is to connect objects [ 32 ], including intercommunicating sensors [ 33 ], actuators and other smart technologies [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

On-Line Core Losses Determination in ACSR Conductors for DLR Applications

et al. 2022

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Dynamic line rating (DLR) is a method that focuses on dynamically determining the maximum allowable current of power lines, while ensuring they operate within safe limits. DLR needs to monitor the temperature and current of the line in real-time, as well as the weather variables in the surroundings of the power line. DLR approaches also require determining the AC resistance of the power line conductors, which is a key parameter that enables it to determine Joule and core losses. This paper presents an approach for an on-line alternating current (AC) resistance estimation of aluminum conductor steel-reinforced (ACSR) conductors to determine the DLR capability of such conductors from real-time conductor and meteorological parameter measurements. For this purpose, conductors with one, two and three layers of aluminum strands are analyzed in detail. Based on the experimental results presented in this paper, two possible approaches are proposed.

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“…The authors implemented a GPRS mobile network-based remote power line monitoring solution to connect to the internet and send the data to the screen monitoring [7]. The authors in [8,9] proposed a wireless power transmission power pole body monitoring system consisting of accelerometers and several environmental sensors. The system tracks real-time the status of the power transmission pole through a combination of ZigBee and GSM.…”

Section: Introductionmentioning

confidence: 99%

Solution to Detect, Warn and Prevent People From Climbing High-Voltage Power Poles, Distribution Transformers

THINH¹,

TIEN²

2022

jst-iuh

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Currently, in Vietnam, the management and operation of the power system face challenges and difficulties due to complex terrain conditions, natural disasters, floods, and typhoons. In addition to the power grid failures caused by natural disasters that damage the power system. The power grid failures caused by humans are serious and directly affect human life. Power outages that disrupt the supply of electricity have had an enormous impact on the economy, politics, and energy security. The cause of fatal power grid failures is a lack of understanding and subjectivity. With the continuous development of electronic devices, wireless communication technology will serve as the basis for the construction of applications that protect electrical systems and human life at a cheap and effective cost. In this paper, the authors built a device that can detect, warn, and prevent climbers from climbing high-voltage towers using Arduino UNO, the HC SR04 distance sensor. When the device detects an intruder, the system will ring an alarm, activate the anti-intrusion mechanism, and send SMS via GSM SIM 800I to the operator of the grid to promptly have a suitable treatment solution.

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An IoT-Based System for Monitoring the Health of Guyed Towers in Overhead Power Lines

Cited by 7 publications

References 27 publications

Buildings’ Biaxial Tilt Assessment Using Inertial Wireless Sensors and a Parallel Training Model

Buildings’ Biaxial Tilt Assessment Using Inertial Wireless Sensors and a Parallel Training Model

On-Line Core Losses Determination in ACSR Conductors for DLR Applications

Solution to Detect, Warn and Prevent People From Climbing High-Voltage Power Poles, Distribution Transformers

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