Substation Equipment Inspection Research Articles

Real-time performance evaluation and optimization of electrical substation equipment inspection algorithm based on distributed computing

Abstract Substation equipment inspection faces problems such as large amounts of data, various information types, complex analysis and calculations, and low resource integration. Distributed computing system uses networks to realize computer connectivity and collaboration, achieving in-depth sharing of computing resources, software resources, information resources, and communication resources. Therefore, firstly, this article introduces segmentation method for load balancing and recommendation calculation based on path search; secondly, an algorithm model for substation equipment inspection based on distributed computing is constructed; then, the article analyzes and discusses multi-core cluster task allocation, heterogeneous task scheduling framework, fragmented transmission mechanism, and vertical expansion mechanism; finally, case analysis and performance evaluation are carried out. Distributed computing has significant advantages in the inspection algorithm of power substation equipment. It can efficiently process large-scale data, improve computing power, ensure data redundancy and fault tolerance, provide good scalability, optimize resource utilization, and support remote data processing. By integrating multi-source data, distributed computing improves the accuracy and comprehensiveness of the algorithm, enhances security, supports complex algorithms such as machine learning and deep learning, and realizes real-time monitoring and early warning. The results show that the proposed algorithm can improve the efficiency of distributed parallel computing and analysis of substation equipment inspections and can simulate, evaluate, and screen substation equipment failure scenarios that may cause serious consequences within an effective time.

BIM-Based 3-D Multimodal Reconstruction for Substation Equipment Inspection Images

BIM-Based 3-D Multimodal Reconstruction for Substation Equipment Inspection Images

An Early Warning Model for Intelligent Operation of Power Engineering based on Kalman Filter Algorithm

The accurate early warning of intelligent operation of power engineering can find the abnormal operation of substation equipment in time and ensure the safe operation of substation equipment. Thus, an early warning model for intelligent operation of power engineering based on Kalman filter algorithm is constructed. In this model, the noise elimination method of substation equipment inspection image based on particle resampling filter algorithm is introduced. After removing the noise information of operation situation inspection image of substation equipment, the gradient direction histogram feature, lab color space feature and edge contour feature in the image are extracted by the multi-feature extraction method for intelligent operation of power engineering based on multi-feature fusion. These features are combined to form the feature description set of equipment operation situation. The feature description set is used as the identification attribute set of the anomaly identification and early warning model for intelligent operation of electric power engineering based on Kalman filter algorithm to complete the anomaly identification and early warning of equipment operation situation. The test shows that when the model is used to observe the temperature change trend of the top layer of the transformer, the temperature error is very small, and the early warning accuracy for the abnormal temperature of the top layer of the transformer is very high, so the abnormal operation of the substation equipment can be found in time.

Research on behaviour planning for power substation inspection robot based on fuzzy cognitive map

A fuzzy cognitive map based behavior planning method for mobile robot is proposed in this paper. Aiming at the intelligentialize advanced application problems of power substation equipment inspection robot, a logical structure of inspection tasks planning based on hierarchical hybrid complex system is presented, and the operating principle of task decomposition and task planning are given in detail. The dependent events in inspecting tasks are considered as concept nodes to present the connection weights between nodes and establish the fuzzy cognitive map model of task and behavior planning, so as to realize task decomposition and generate the action logic sequences. Meanwhile, the action sequences can be adjusted in real time with the sensor information. The proposed method is simple without introducing complicated calculations and much training. Simulation results verify the feasibility and effectiveness.

Investigation of Intelligent Substation Inspection Robot by Using Mobile Data

Substation equipment inspection is essential for the power industry. The expansion of the smart grid scale improves the transmission capacity and enhances the likelihood of power plant facilities failure. To ensure the safety of the electric power supply, it is essential to inspect substation equipment. Metal commercial equipment can be traversed by remote inspection robots equipped with magnetic wheels. It is possible to use robots like this to examine equipment and pipelines remotely. In many cases, these gadgets are able to scale vertical surfaces and even traverse obstacles with a variety of shapes. Finally, researchers in the field of robotics have indicated that challenges such as restricted onboard battery capacity, undependable line fault detection, electrical insulation, power mechanism, and advanced control techniques for outer wind disruption are highly promising research areas. To build an unmanned, intelligent, and succeeded substation, the substation progressively implements inspection robots instead of physical exertion. Hence, in this paper, the mobile-based Intelligent Tracking Framework (MITF) has been proposed using inspection robots. This inspection robot is autonomous and can be used for various tracking tools: visual, infrared, and partial charge–discharge camera. The robot is integrated with a camera and thermal infrared imager sensors that have been collectively designated as workload. These inspection sensors are used to detect environmental parameters such as reading meters, evaluation thermoelectric temperature. The accurate localization of working loads and the inspection robot electromagnetic interference within substations have been resolved. This mobile robot delivers innovative monitoring and precise detection for the unmanned substation and smart substation. The suggested approach’s effectiveness is verified through experiment results based on the electrical equipment of the substation. The experimental outcome of the proposed method boosts the Meter Reading Analysis (94.19%), Transmission Capacity Analysis (98.5%), Workload Analysis (98.9%), Temperature Analysis (97.6%), and Safety Analysis (95.41%).

Technology and Application for Substation Automatic Inspection Based on “Robot +” Mode

Daily substation equipment inspection is important for safety production of the power grid. To improve the safety and reliability of the traditional substation instrument inspection mode, this paper aims on the technology and application for substation automatic inspection based on “robot +" mode. Upon the foundation of substation inspect robot, we expand the cover range and types of monitoring devices. We first introduce the system architecture and inspect data type of the proposed “robot+” mode, and then show the data access architecture of all the monitoring devices related to the system. The processing strategies for two typical kinds of structured and unstructured data which are not from the robot are explained. For structured data, we adopt the ARIMA model to predict the time series data. Meanwhile for unstructured data, we take advantage the concept of sparse representation to recover the deformation of the monitoring object. With the newly automatic inspection mode, we can achieve an all-round three-dimensional inspection of substation equipment and environment, which can improve the coverage, the quality and efficiency of substation operation and maintenance. Through the work of this paper, we can reduce the working pressure of team members and enhance the condition control and operation inspection management penetration of substation equipment.

Image acquisition device of inspection robot based on adaptive rotation regulation of polarizer

An image processing device of inspection robot with adaptive polarization adjustment is proposed, that the device includes the inspection robot body, the image collecting mechanism, the polarizer and the polarizer automatic actuating device. Where, the image acquisition mechanism is arranged at the front of the inspection robot body for collecting equipment image data in the substation. Polarizer is fixed on the automatic actuating device of polarizer, and installed in front of the image acquisition mechanism, and that the optical axis of the camera vertically goes through the polarizer and the polarizer rotates with the optical axis of the visible camera as the central axis. The simulation results show that the system solves the fuzzy problems of the equipment that are caused by glare, reflection of light and shadow, and the robot can observe details of the running status of electrical equipment. And the full coverage of the substation equipment inspection robot observation target is achieved, which ensures the safe operation of the substation equipment.

Mobile robot for power substation inspection: a survey

This paper presents the most important achievements in the field of electric power substation equipment's inspection by mobile robot. To accelerate the realization of unattended substation, which would improve the reliability, safety and intelligence of power substation, the field of automated power substation equipment's inspection has been greatly developed over the last decade. The paper addresses the power substation inspection robot, which is considered as one of the most active fields of research on mobile robot, from its history to design requirements, the robot system architecture analysis and modeling, reliability technology of the robot, autonomy and universality of substation equipment inspection. Besides, summaries and suggestions on the development and research trend of inspection robot, which should be addressed in the future, are given. The present work may serve as reference for initial design of robots for some complex and dangerous working environments. And some unique insights for the inspection robot provided in this paper may be of help to further research and application of power facilities inspection.

Research on Fault Diagnosis Algorithm Based on Multi-Source Data Analysis

Based on multi-source substation equipment inspection data, this article achieve fault diagnosis in the case of incomplete understanding of the mechanism of substation equipment, by establishing fault diagnosis model.This article selected a substation equipment failures and operational information in different conditions as simulation study. The simulation results show the feasibility of the algorithm. Compared with the traditional fault diagnosis model, this method is more flexible , have a stronger ability to handle noisy data and good prospects.

The Application of RFID in Substation Inspection System

PDA with RFID functionality, integrated GIS (Geographic Information System), GPRS (General Packet Radio Service) wireless communication technology and Embedded Database Technology developed the substation inspection system based on B/S structure. The system quickly identify equipment identity and accurate records of the defect content of substation equipment according the RIDF. Not only real-time learned inspection personnel in place, but also solve the problem of substation equipment inspection data is not real-time upload. Using the RFID technology improved the substation inspection efficiency and ensured the safe operation of the equipment. This has good promotional value in the power inspection.