Electrical Inspection Research Articles

Formation control of unmanned aerial vehicle swarms: A comprehensive review

AbstractThe unmanned aerial vehicle formation plays a crucial role in numerous applications, such as reconnaissance, agricultural plant protection, and electric power inspection. This paper provides a comprehensive review and analysis of the unmanned aerial vehicle swarm communication networks and formation control strategies. First, the most commonly used unmanned aerial vehicles are introduced and compared. Next, the entire process of the formation task, from the formation assignment to the formation transformation, is detailed described. At last, the widely adopted communication networks are analyzed, and the existing formation control strategies of the UAV swarm are compared, which shows that the distributed formation control is superior to the centralized method and is the future development trend.

Ultra-shallow dopant profiles as in-situ electrodes in scanning probe microscopy

The application of nano materials to control advanced functionality in semiconductor devices has reached the atomic scale. At this dimension the exact chemical and structural composition of a device is crucial for its performance. Rapid inspection techniques are required to find the optimal combination among numerous materials. However, to date the earliest electrical inspection is carried out after multiple fabrication processes. This delay makes the fabrication of atomically designed components very challenging. Here, we propose a sample system to chemically characterize nanoscale devices in-operando. We introduce ion-implanted contacts which embedded in the sample serve as additional electrodes to carry out scanning gate experiments. We demonstrate that the presence of these electrodes does not deteriorate the surface quality. The potential of this approach is highlighted by controlling the charge state of single dangling bonds on the silicon surface. Apart from our novel sample holder, the experimental setup was not modified making this approach compatible to most commercial low-temperature scanning probe microscopes. For silicon based devices, the versatility of this method is a promising avenue to gain a detailed and rapid understanding of functionalized atomic devices and quantum interactions at the atomic level.

Research on Electrical Control and Inspection of Elevator Brake

Research on Electrical Control and Inspection of Elevator Brake

Analysis of Mechanical and Electrical Engineering Installation and Quality Inspection in Highway Engineering

Analysis of Mechanical and Electrical Engineering Installation and Quality Inspection in Highway Engineering

Power Line-Guided Automatic Electric Transmission Line Inspection System

The existing unmanned aerial vehicle (UAV)-based electric transmission line inspection systems generally adopt manual control and follow the predefined path, which reduces the efficiency and makes a high inspection cost. In this article, a UAV system with advanced embedded processors and binocular visual sensors is developed to generate guidance information from power lines in real-time and achieve automatic transmission line inspection. To realize 3-D autonomous perception of power lines, we first propose an end-to-end convolutional neural network (CNN) to extract complementary information from multilevel features and detect power lines with different pixel widths and orientations. Specifically, multilevel feature aggregation module fuses multilevel features within the same stage by learning the weight vector related to the content. The joint attention (JA) module is proposed to extract rich semantic information and suppress the background noises. Meanwhile, multistage detection results are fused to enhance the robustness of the proposed network. Subsequently, power lines are grouped according to the morphological characteristics of thinning detection results, and 3-D point sets of power lines are constructed based on the epipolar constraint of binocular images. Finally, the target point of current stereo images is generated by projecting 3-D power line points to the horizontal and vertical planes. The few-waypoint trajectory is generated based on continuous target points, and automatic inspection is finished with the proposed real-time motion planning strategy. Experimental results on four datasets show that the proposed power line detection method outperforms other state-of-the-art methods. The developed UAV platform and the proposed autonomous inspection strategy are evaluated in practical environments to validate the robustness and effectiveness.

Blockchain-Enabled Electrical Fault Inspection and Secure Transmission in 5G Smart Grids

The maturity of the 5th-Generation (5G) communication technology promotes a new round of industrial revolution and supports the high-quality development of economic society. However, owing to the scarce communication resources, costly labor and complex geographic environment, inspecting and maintaining electrical faults accurately and timely in a remote grid is rather challenging. To solve this problem, we comprehensively consider secure and efficient signal transmissions to construct an automatic grid fault inspection system and formulate a multi-objective optimization problem. Due to its complexity, we decompose it into two sub-problems, propose a <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">b</u> lockchain- <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e</u> nabled <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</u> ecure <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t</u> ransmission scheme (BEST) and an <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</u> mproved <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</u> arket <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</u> atching (IMM) algorithm, correspondingly. Considering the latency magnitude difference between blockchain verification and intra-domain transmission, the BEST scheme integrates <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</u> eep <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</u> einforcement learning-based <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</u> mproved <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</u> roximal policy optimization training algorithm (DRIP) and <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</u> *-based <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">b</u> i- <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</u> bjective multi-destination <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</u> ptimization algorithm (ABOO) to achieve the intra-domain secure transmission. Based on the real city topology and the YouTube video service data statistics, our algorithms can optimize the network performance while guaranteeing the security of signal transmissions.

Robot-Assisted Electrical Impedance Scanning system for 2D Electrical Impedance Tomography tissue inspection.

The electrical impedance tomography (EIT) technology is an important medical imaging approach to show the electrical characteristics and the homogeneity of a tissue region noninvasively. Recently, this technology has been introduced to the Robot Assisted Minimally Invasive Surgery (RAMIS) for assisting the detection of surgical margin with relevant clinical benefits. Nevertheless, most EIT technologies are based on a fixed multiple-electrodes probe which limits the sensing flexibility and capability significantly. In this study, we present a method for acquiring the EIT measurements during a RAMIS procedure using two already existing robotic forceps as electrodes. The robot controls the forceps tips to a series of predefined positions for injecting excitation current and measuring electric potentials. Given the relative positions of electrodes and the measured electric potentials, the spatial distribution of electrical conductivity in a section view can be reconstructed. Realistic experiments are designed and conducted to simulate two tasks: subsurface abnormal tissue detection and surgical margin localization. According to the reconstructed images, the system is demonstrated to display the location of the abnormal tissue and the contrast of the tissues' conductivity with an accuracy suitable for clinical applications.

Research on Electricity Inspection and Anti-Stealing Technology Based on Power System

Research on Electricity Inspection and Anti-Stealing Technology Based on Power System

Research on an intelligent electric inspection robot

Due to the bad environment of electric power inspection, it is easy to cause physical injury to the inspectors. Besides, the heavy workload of inspection is easy to cause the omission of the wireman that leading to major accidents. In order to avoid the mistakes in the process of electric inspection, an intelligent robot for independent inspection instead of manual operation is proposed in this paper. Firstly, the overall configuration of the robot is designed, a four-wheel active driving wheeled mobile mechanism is adopted and the dual parallel camera with three degrees of freedom is carried to inspect the faults existing in the power equipment. Secondly, based on the nonholonomic constraints, the kinematics analysis of the robot is carried out, and the variation laws of the velocity and angular velocity are obtained. In addition, based on the theory of finite element analysis, the modal analysis of the key parts of the robot is carried out to avoid resonance when working to affect the inspection accuracy. Finally, the motion process of the robot in various environments is simulated to verify the correctness of the robot kinematics model and the rationality of the structure design. According to the simulation results, the robot can run stably in typical environments.

Design of autonomous navigation system for electric patrol Unmanned Aerial Vehicle Based on Beidou Positioning and satellite based enhancement

In order to reduce the deviation of automatic inspection of transmission tower UAV and improve the efficiency of inspection work, the design of autonomous navigation system of electric power inspection UAV Based on Beidou Positioning and satellite based enhancement is proposed. On the basis of Beidou Positioning and satellite based enhancement, the automatic inspection projector and automatic inspection navigator of transmission tower UAV are designed, and the hardware design of the system is completed. This paper analyzes the endurance of UAV, calculates the coordinates of the best shooting point of UAV, and completes the planning of automatic inspection path of transmission tower UAV according to the horizontal offset coordinates of UAV in the process of transmission tower inspection. Combined with the automatic inspection algorithm of transmission tower UAV, the system software design is completed to realize the automatic inspection of transmission tower UAV. The simulation results show that compared with the traditional inspection system, the deviation of the designed UAV automatic inspection system for transmission tower is significantly reduced.

Electric Equipment Inspection on High Voltage Transmission Line Via Mobile Net-SSD

Daily check and inspection of electrical utilities on the transmission line to find out faults or malfunction data and analyze, it’s to ensure normal state of electrical equipment really difficult in any situation. Machine-controlled inspections by like robots or drones for power transmission infrastructures is an indispensable way to assure the safety of power transmission. Targeted object detection and classification of the power transmission infrastructure is the prerequisite for automatic inspection. In our experiment we have create the dedicated datasets of the electric equipment on power transmission line for multi-object detection, including our data collection, prepossessing and annotation. This work has been done multiple experiments to solve our functional problem and compare novel state of art deep learning methods such as Faster R-CNN, Mask R-CNN, YOLO, and SSD with MobileNet is a base feature extractor, to realize the electric equipment on power transmission line detection. For Condition monitoringand diagnosis identification of the importance of electric equipment on the electric transfer line, in the proposed deep detection approach, the Single-Shot Multi-box Detector (SSD) is a powerful deepmeta-architecture. The results show that our method can automatically detect electric equipment on high voltage transfer defects more accurately and rapidly than lightweight network methods and traditional deep learning methods. Results shed new light on defect detection in actual in progressive scenarios. In our research the main goal to show the implementation of the object detection on electric equipment's inspections on high voltage electric transfer lines on drone video using MobileNet-SSD object detection and recognition.

Application of 5G in Electric Power Inspection UAV

At present, under the background of the social development of the increasing popularity of 5G technology, the automatic inspection of power lines through 5G UAV has become an inevitable demand for the development of smart grid. 5G has brought advanced technical advantages to the power inspection UAV, overcoming the difficulties in flight environment, data transmission and image analysis. The use of 5G UAV realizes the intelligent panoramic operation of power inspection and is an important means to ensure the reliable operation of power grid. However, due to the constraints of relevant factors, the use of 5G inspection UAV is both challenging and imperative in the future. This paper mainly introduces the basic meaning and advantages of 5G technology and UAV, compares and analyzes the differences between manual inspection, traditional UAV and 5G UAV in power inspection, discusses the technical advantages of 5G UAV, and combines with application cases to prospect the development prospect and trend of 5G UAV inspection.

Research on the application of computer track planning algorithm in uav power line patrol system

Unmanned aerial vehicle (UAV) has the advantages of high safety, accurate detection results and long time continuous operation in power grid patrol inspection. Article several kinds of commonly used in electric power inspection for unmanned aerial vehicle flight mode is analyzed, and the planning track of unmanned aerial vehicle (uav) in power patrol autonomous optimization, power patrol scheme based on path planning was proposed, at the same time on the ground calibration start and end position of the workstation USES route planning algorithm for flight points, of course, so as to realize the tracking of on line.

Elasto-plastic behaviour of cantilever beams containing varied stress concentration cut out features

In machine component design, it is necessary to introduce openings or cut outs to carry out specific service functions such as electrical wiring, piping, and inspection, among others. The introduction of these cut outs results in a high concentration of stress leading to degradation of the component strength, especially under cyclic loading. The geometrical features and orientation of these cut outs relative to the support and the applied loads will also influence the severity of the resulting stress concentration. Of particular interest to this study is the elastic and elasto-plastic behaviour of a cantilever beam containing rectangular, circular or diamond cut outs under plane strain conditions. Four aspects of the work were accordingly examined. The first is concerned with the elasto-plastic load–deflection diagram of the beam containing the cut out features. The second with the finite element predictions of the elastic behaviour and the associated stress concentration factor of the beam in the presence of the cut out features. The third with the elasto-plastic behaviour and etching results showing the remarkable agreement between the two. Finally, in the fourth, we focus our attention to unloading residual stresses. The results offer a complete coverage of the problem and should help in the elasto-plastic design of beams containing stress concentration features.

An Improved Object Detection Method for Automatic Electrical Equipment Defect Detection

Employing computer vision and machine learning on equipment defect detection has become an important trend of electric power inspection. This paper presents a new electrical equipment default detection method based on improved YOLOv3. By combining abundant geometric measures, Complete IOU(CIOU) make the bounding box regression during NMS more accurate. Focal loss function, which focus on differentiate between easy and hard examples, is employed to deal with the class imbalance problem. Experiment results show that the proposed approach obtains competitive performance compared with state-of-the-art deep learning object detection methods.

Research and Application of a New Electric Coupling Device

With the increase in the size of the distribution network, as the overhead cable that accounts for the largest proportion in the urban power grid, the importance of electricity inspection and phase detection is also increasing. In order to avoid the shortcomings of traditional electroscope and the possible serious consequences caused by incorrect phase-detecting, this paper proposes a new type of electric coupling device, introduces the structure and performance of the device, and analyzes its advantages and practical applications. This electric coupling device can measure, calculate, analyze and report the real-time status of transmission line operation, and it can fully meet the requirements of engineering that is economical and practical, safe and reliable, and intuitive judgment.

Research on the Application of YOLOv4 in Power Inspection

In order to meet the business needs of power inspection. The requirement is to identify the target quickly and in batches. In this paper, yolov4 convolution neural network is used as the technical to realize the target detection process of power inspection photos. Firstly, the training data set of power patrol inspection is accurately labeled by labelimg. Then it is trained by the deep learning framework of Darknet. And the results are satisfactory. The test results show that tthe Precision is 0.92 and the Recall is 0.904 after training by the self-designed training data set of electric power inspection target detection.This detection effect can meet part of the requirements of target detection in power inspection. However, there are two problems in this test: the lack of data annotation set in power inspection and the serious overlap of different objects in some photos of the data set. The author of this paper hopes the relevant researchers to correct and supplement.

Learning-Based Autonomous UAV System for Electrical and Mechanical (E&M) Device Inspection.

The inspection of electrical and mechanical (E&M) devices using unmanned aerial vehicles (UAVs) has become an increasingly popular choice in the last decade due to their flexibility and mobility. UAVs have the potential to reduce human involvement in visual inspection tasks, which could increase efficiency and reduce risks. This paper presents a UAV system for autonomously performing E&M device inspection. The proposed system relies on learning-based detection for perception, multi-sensor fusion for localization, and path planning for fully autonomous inspection. The perception method utilizes semantic and spatial information generated by a 2-D object detector. The information is then fused with depth measurements for object state estimation. No prior knowledge about the location and category of the target device is needed. The system design is validated by flight experiments using a quadrotor platform. The result shows that the proposed UAV system enables the inspection mission autonomously and ensures a stable and collision-free flight.

Electric Power Intelligent Inspection Robot: a Review

The electric power intelligent inspection robot is equipped with high-definition visible light camera, infrared thermal imager, sound-collecting equipment and other intelligent detection devices and intelligent analysis algorithm software to complete the control loop from rapid acquisition of all-weather data, real-time information transmission, intelligent analysis and early warning to fast decision feedback. Therefore, instead of manual inspection, the automatic detection and intelligent analysis of the state of the power equipment are realized, and the reliability of the operation of the power grid and the power equipment is improved. The use of electric power intelligent inspection robots is an important means to realize the intelligentization of power grids, and is an important direction for the future development of smart grids. Given the current research status and deficiencies at home and abroad, this paper discusses the electric power intelligent inspection robots from aspects of main technologies, cutting-edge technology, functional positioning and standard system, and discusses the research status of electric intelligent inspection robots. On this basis, future research and development direction are put forward. This paper has a guiding role and reference value for the research of electric power intelligent inspection robot.

Electric vehicle Pouch battery dimension inspection system

Electric vehicle Pouch battery dimension inspection system