Virtual Reality Interface for HVDC Substation and DC Breaker Design and Maintenance

Marsh, Conor; Barnes, Mike; Crowther, William; Watson, Simon; Vilchis-Rodriguez, Damian; Sánchez, Jesus Carmona; Shuttleworth, R.; Kabbabe, Khristopher; Heggo, Mohammad; Smith, Alexander C.; Pei, Xiaoze

doi:10.1049/cp.2019.0070

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Compared to ground robots, unmanned aerial vehicles (UAVs) present a promising solution in power stations inspection due to their ability to scan beyond the ground surface. Valve halls can be up to 10 m tall, so the inspection of valves at the top cannot be done by ground vehicles [8].…”

Section: Introductionmentioning

confidence: 99%

The Operation of UAV Propulsion Motors in the Presence of High External Magnetic Fields

et al. 2021

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The operation and maintenance of converter stations (also known as valve halls) in high voltage DC (HVDC) grids is a key element in long-term, reliable and stable operation, especially in inherently adverse offshore environments. However, the nature of the electromagnetic field environment inside HVDC valve halls presents a challenge for the operation of traditional off-shelf inspection robots. In this paper, the impact of the external magnetic field on the operation of an inspection UAV’s propulsion motors is assessed. An experimental method is proposed to simulate the maximum magnetic field interference to off-shelf UAV motors, which can be used to identify their suitability for use in HVDC valve halls inspection robots. The paper’s experimental results compare the performance of direct torque control and field-oriented control algorithms for propulsion motors under the influence of external magnetic flux. Under the influence of a 177 mT external magnetic field, it was found that using direct torque control, the motor rotational velocity steady-state error was up to 55%. With field-oriented control, the steady-state error was 0%, however the peak-to-peak current draw increased by up to 567%.

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Section: Introductionmentioning

confidence: 99%

The Operation of UAV Propulsion Motors in the Presence of High External Magnetic Fields

et al. 2021

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“…Installing thermal sensors throughout the infrastructure may be logistically infeasible due to the number of sensors required and the management of the additional data streams. An alternative solution which is being explored is the use of robots and/or Unmanned Aerial Vehicles (UAVs), which if especially built (on purpose) then might be able to operate in the presence of high electromagnetic fields [2][3][4]. In [5] it was described the architecture of a system, which once mounted on UAVs, it would enable autonomous or tele-operation of the drone within a dark and GPSdenied environment.…”

Section: Introductionmentioning

confidence: 99%

Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots

Arsene¹

2020

Preprint

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This paper presents fast procedures for thermal infrared remote sensing in dark, GPS-denied environments, such as those found in industrial plants such as in High-Voltage Direct Current (HVDC) converter stations. These procedures are based on the combination of the depth estimation obtained from either a 1-Dimensional LIDAR laser or a 2-Dimensional Hokuyo laser or a 3D MultiSense SLB laser sensor and the visible and thermal cameras from a FLIR Duo R dual-sensor thermal camera. The combination of these sensors/cameras is suitable to be mounted on Unmanned Aerial Vehicles (UAVs) and/or robots in order to provide reliable information about the potential malfunctions, which can be found within the hazardous environment. For example, the capabilities of the developed software and hardware system corresponding to the combination of the 1-D LIDAR sensor and the Flir Duo R dualsensor thermal camera are assessed from the point of the accuracy of results and the required computational times: the obtained computational times are under 10 ms, with a maximum localization error of 8 mm and an average standard deviation for the measured temperatures of 1.11°C, which results are obtained for a number of test cases.The paper is structured as follows: the description of the system used for identification and localization of hotspots in industrial plants is presented in section II. In section III, the method for faults identification and localization in plants by using a 1-Dimensional LIDAR laser sensor and thermal images is described together with results. In section IV the real time thermal image processing is presented. Fusion of the 2-Dimensional depth laser Hokuyo and the thermal images is described in section V. In section VI the combination of the 3D MultiSense SLB laser and thermal images is described. In section VII a discussion and several conclusions are drawn.

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Virtual Reality Interface for HVDC Substation and DC Breaker Design and Maintenance

Cited by 2 publications

References 15 publications

The Operation of UAV Propulsion Motors in the Presence of High External Magnetic Fields

The Operation of UAV Propulsion Motors in the Presence of High External Magnetic Fields

Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots

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