Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering最新文献

Intelligent operation and maintenance system of Marine equipment based on PHM 基于PHM的船舶设备智能运维系统

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586203

Ruixin Wang

{"title":"Intelligent operation and maintenance system of Marine equipment based on PHM","authors":"Ruixin Wang","doi":"10.1145/3586185.3586203","DOIUrl":"https://doi.org/10.1145/3586185.3586203","url":null,"abstract":"In view of the immature status of complex ship system fault diagnosis, prediction and health management (PHM) technology and the urgent development needs of ship intelligence, the key technologies of ship equipment PHM were studied by means of artificial intelligence. In this paper, an intelligent fault diagnosis technology of Marine equipment based on long short-term memory network (LSTM) is proposed. The dynamic data of Marine equipment is studied by LSTM, and a multi-layer LSTM neural network is established to diagnose the type and degree of faults. A trend prediction technique of state parameters based on ARMA-BP hybrid prediction model is proposed, which combines ARMA and BP neural network to analyze the information in the sequence of state parameters, and effectively improves the prediction accuracy. This paper proposes a method of constructing intelligent reasoning knowledge base of Marine equipment based on production rules. The fault diagnosis and prediction results are associated with corresponding fault modes and impact analysis tables according to certain rules to form intelligent reasoning knowledge base and generate corresponding maintenance decisions intelligently.","PeriodicalId":383630,"journal":{"name":"Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk assessment of Highway Safety Based on Artificial Intelligence: A New Method of Highway Risk Assessment 基于人工智能的公路安全风险评估:一种新的公路风险评估方法

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586202

Chunyang Li

引用次数: 0

Improved A* Algorithm based on Multi-Layers and Multi-Constraints 基于多层多约束的改进A*算法

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586186

Jian Han, Lili Zhou, Jiahui Tong, Shiguo Sun, Mingyun Hou

引用次数: 0

Learning Visual Navigation System in Simulation for Autonomous Ground Vehicles in Real World 自主地面车辆视觉导航系统仿真研究

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586192

Feiyang Wu, Danping Zou

{"title":"Learning Visual Navigation System in Simulation for Autonomous Ground Vehicles in Real World","authors":"Feiyang Wu, Danping Zou","doi":"10.1145/3586185.3586192","DOIUrl":"https://doi.org/10.1145/3586185.3586192","url":null,"abstract":"Navigation for autonomous ground vehicles (AGV) should be accurate and quick. Traditional navigation systems, consisting of perception, planning, and control, are unable to use noisy visual images efficiently on a power-limited computation unit. These systems also require lots of parameter-tuning work when deployed on a new robot. By contrast, end-to-end approaches, that directly map sensor information and robot state to planned trajectories, have the potential to navigate autonomous ground vehicles on edge computation devices and possess far fewer manually-tuned parameters. However, collecting data on real robots and labeling the data for training is time-consuming and costly. Therefore, many approaches turn to automatic data labeling and collection in the simulation environment. Motivated by a learning-based navigation system for drones, we present a sim-to-real learning-based navigation pipeline for AGVs where the model is solely trained in simulation environments (Gazebo and UE4) and directly deployed to a real AGV. Results show that after training, the system achieves a high success rate in both simulation and real-world cases, indicating the great potential of this learning pipeline.","PeriodicalId":383630,"journal":{"name":"Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122886421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on UAV Transmission Line Inspection Technology Based on CNN 基于CNN的无人机传输线检测技术研究

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586199

Wendong Shi, Yang Yu, Yongsheng Chen

{"title":"Research on UAV Transmission Line Inspection Technology Based on CNN","authors":"Wendong Shi, Yang Yu, Yongsheng Chen","doi":"10.1145/3586185.3586199","DOIUrl":"https://doi.org/10.1145/3586185.3586199","url":null,"abstract":"With the rapid development of China's electric power industry, the line patrol inspection is faced with the situation of high operation intensity, long cycle, and bad environment of some lines. The traditional manual patrol inspection method is inefficient and has high risk coefficient, so it is necessary to introduce unmanned aerial vehicle (UAV) technology to maintain the lines efficiently. This paper combines the characteristics of transmission lines, integrates improved convolutional neural network (CNN) with UAV technology, and studies the feature extraction and feature matching of the images taken by UAV patrol inspection combined with the feature target recognition algorithm of transmission lines. By using the cloud scene technology to represent the corresponding model and scene representation of the transmission line, the example proves that the point cloud recognition and cutting extraction of the transmission line conductor and ground wire have reached a high modeling accuracy, which is verified to be feasible by the example. UAV technology can greatly improve the efficiency of line patrol and inspection.","PeriodicalId":383630,"journal":{"name":"Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131325938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characteristic Analysis of Arc Grounding Fault in Distribution Network 配电网电弧接地故障特征分析

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586194

Shang Chen, Hui Li, Jing Yin, Minfeng Shao, Jiangbo Chen, Yan Du

{"title":"Characteristic Analysis of Arc Grounding Fault in Distribution Network","authors":"Shang Chen, Hui Li, Jing Yin, Minfeng Shao, Jiangbo Chen, Yan Du","doi":"10.1145/3586185.3586194","DOIUrl":"https://doi.org/10.1145/3586185.3586194","url":null,"abstract":"With the acceleration of urbanization, the voltage level of transmission lines is continued to rise. The arc cannot be \"self-extinguished\" smoothly, causing serious damage to the system. Therefore, it is very important to study the characteristics of arc for the safe and stable operation of system. The Cassie and Mayr arc models are established through PSCAD, and through comparative analysis, the arc models suitable for distribution networks at different voltage levels are obtained. Cassie arc is suitable for simulating arc grounding faults in medium-voltage distribution networks with high arc voltage, and Mayr arc is suitable for simulating Arc ground fault in low voltage distribution network with low arc voltage. In addition, the characteristics of neutral point grounding through transition resistance, neutral point ungrounded , arc grounding fault through arc suppression coil are studied, by building a distribution network model, simulating single-phase grounding faults. The simulation results show that the use of the neutral point to ground through the transition resistance in the distribution network can greatly limit the overvoltage, reduce the requirements for the degree of insulation of the system, and improve the reliability of the system operation. The neutral point is grounded through the arc suppression coil, which can limit the over-voltage and short-circuit current to a certain extent. Compared with other methods, the damage to the system is the lowest.","PeriodicalId":383630,"journal":{"name":"Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123179744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the Portable Comprehensive Diagnosis Device Applied in 20kV Distribution Line Based on Touch Screen Design 基于触摸屏设计的20kV配电线路便携式综合诊断装置的研究

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586195

Yongjian Li

{"title":"Research on the Portable Comprehensive Diagnosis Device Applied in 20kV Distribution Line Based on Touch Screen Design","authors":"Yongjian Li","doi":"10.1145/3586185.3586195","DOIUrl":"https://doi.org/10.1145/3586185.3586195","url":null,"abstract":"Distribution network is the end of power system, which is directly connected with users and can sensitively reflect users' requirements for safety and quality of power supply. Its operation safety, reliability and economy are directly related to social production and people's life. As the artery of power grid operation, whether the distribution line can be quickly located and diagnosed after fault directly affects the fault repair time of the line and the outage time of single power supply users, and then affects the economic benefits of the power grid. Therefore, this paper studies a portable comprehensive fault diagnosis device, which can realize the fault location of small resistance grounding system applied in 20kV distribution line by loading DC high voltage. The experimental results show that the integrated design and the touch screen design of human-computer interaction can make the comprehensive fault diagnosis device more miniaturized, intelligent and practical. The device adopts an integrated portable design, which enables rapid troubleshooting by loading DC high voltage, and can help the emergency repair of 20 kV distribution lines. Through the intelligent fault diagnosis device, not only the ability to identify faults can be improved, but also the security and stability of the distribution network can be improved to avoid huge economic losses due to power failure.","PeriodicalId":383630,"journal":{"name":"Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124620651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis and Treatment of A 220kV Transformer Winding Deformation Due to A Single-phase Short-circuit Fault 220kV变压器单相短路故障绕组变形分析与处理

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586197

Zeyu Ouyang, Jiyulei Dai, Silin Zhu, Yanzeng Jiang

引用次数: 0

Design and Implementation of Text Understanding System Based on Semantic Tagging Instances 基于语义标注实例的文本理解系统的设计与实现

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586190

Ping Zhu, Pohua Lv, Jin Shi, Xuetao Jiang, Weiming Zou, Yirong Ma

引用次数: 0

Insulation Diagnosis Technology of Capacitive Voltage Transformer Based on Secondary Voltage Change 基于二次电压变化的电容式电压互感器绝缘诊断技术

Proceedings of the 2023 4th International Conference on Artificial Intelligence in Electronics Engineering Pub Date : 2023-01-06 DOI: 10.1145/3586185.3586198

Zeyu Ouyang, Jiasheng Chen, Silin Zhu, Jiyulei Dai

引用次数: 0