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检索条件"任意字段=6th International Conference on Electrical Engineering, Computing Science and Automation Control"

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engineering Intelligent Construction Technology Based on BIM Technology 6th

Engineering Intelligent Construction Technology Based on BIM...

引用

6th international conference on Innovative computing, IC 2023

作者： Ni, Xiaozhen Wang, Hongbo Li, Guangjun Zheng, Kezai Department of Civil Engineering Guangdong Engineering Polytechnic Guangdong510520 China China Construction 4th Engineering Bureau 6th Corp. Limited Guangdong511497 China

ISBN: (纸本)9789819922864

Intelligent building technology is a term used to describe the use of sensors and other technologies that allow remote monitoring and control of buildings. Intelligent building system is also known as smart home automation or smart home control. the goal of these systems is to provide automated solutions for controlling the lighting, heating, ventilation, safety and energy management of buildings. "Intelligent construction" is a new construction concept, which requires the development of the construction industry to take the road of low consumption, low pollution and sustainable development. At the same time, it can apply information technology to reform the traditional production mode of the construction industry. the core technology of "intelligent construction" concept is building information modeling (BIM). BIM Technology can change the phenomenon of low efficiency of information transmission and sharing among various departments and participants of engineering projects. It is the direct application of information means in the construction industry and the technical support for the construction industry to change the traditional construction concept. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Construction industry

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Research on Lane Changing Strategy for Automated Vehicles Basing on Vehicle-in-the-Loop System 6

Research on Lane Changing Strategy for Automated Vehicles Ba...

引用

6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： Wang, Qiang Wang, Yindong Hou, Quanshan Wu, Xiaomeng Meng, Jiaxu Shan, Yingjie Sun, Bohua Catarc Intelligent and Connected Technology Co. Ltd. China Automotive Technology & Research Center Co. Ltd. Tianjin China Jilin University State Key Laboratory of Automotive Simulation and Control Changchun China

ISBN: (纸本)9798350305623

As one of the core technologies of automatic driving, the decision-making module plays a crucial role in the safety of automatic driving. In this paper, a fuzzy logic based automatic driving lane changing strategy is proposed to fuzzy the time to collision and distance coefficients by introducing a safe distance model. Fuzzy rules are established based on expert experience to get the fuzzy output of lane changing willingness, which in turn forms the lane changing decision of the self-driving vehicle. the strategy has strong adaptability and practicality, effectively handles various complex traffic scenarios, and improves the safety and comfort of self-driving vehicles. In this study, a lane-changing scenario is designed in the virtual simulation software, and the vehicle-in-the-loop test platform is utilized for experimental verification. the test results prove that the automatic driving lane changing strategy enables the vehicle to make reasonable lane changing decisions in different traffic scenarios, avoids collision risks, and improves driving comfort. © 2023 IEEE.

关键词： Automated Vehicle Lane Changing Strategy Vehicle-in-the-Loop

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Coordinated control strategy for microgrid based on improved virtual DC motor 6

Coordinated control strategy for microgrid based on improved...

引用

2023 6th international conference on Power Electronics and control engineering, ICPECE 2023

作者： Cheng, Xiaoman Yue, Youjun Zhao, Hui Wang, Hongjun School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China School of Engineering and Technology Tianjin Agricultural University Tianjin300392 China

the coordinated control strategy based on the improved virtual DC motor (VDCM) is proposed to address the bus voltage fluctuation of an isolated DC microgrid and the power distribution problem of multiple energy storage units. Firstly, the memory converter control process unit is enhanced by adding the VDCM link and low-pass filtering link. Secondly, considering factors such as photovoltaic power, constant-power loads, and battery charging state, six working modes are defined to ensure stable DC bus voltage in each mode. Finally, a simulation model of the isolated DC microgrid is found by using simulation software to verify the validity of this method. © Published under licence by IOP Publishing Ltd.

关键词： DC motors

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A Sensorless control Method for Low-voltage and High-current BLDC Based on Back-EMF 6

A Sensorless Control Method for Low-voltage and High-current...

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6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Li, Wei Cui, Zhiwei Guo, Yiyang Ding, Shichuan Anhui University National Engineering Laboratory of Energy-Saving Motor & Control Technology Hefei China School of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (纸本)9798350346671

For the position sensorless drive system of low-voltage high-current brushless DC (BLDC) motor for oil pump, a three-stage start-up control strategy to improve the voltage at the back electromotive force terminal voltage is studied. the back-EMF detection circuit is built with sampling resistor and comparator. the logical relationship between the comparator output signal and the power device switch is determined. Pre-positioning is achieved by energizing any two phases in the inverter and controlling the winding current. the BLDC is steadily accelerated by increasing the commutation signal frequency of the driver. When the motor accelerates to the predetermined speed, it can accurately detect the back-EMF zero-crossing signal and switch to the self-synchronization operation state. the proposed method is verified by simulation and experiment, and the results show that the speed and current closed-loop sensorless PI control strategy has good performance. © 2023 IEEE.

关键词： Brushless DC motors

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UAV Localization Model Based on Multi-Dimensional Eigenvalue-Kalman Filter 6

UAV Localization Model Based on Multi-Dimensional Eigenvalue...

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6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： Tian, Mengxian Shandong University of Science and Technology Tai'an China

ISBN: (纸本)9798350305623

With the rapid development of science and technology, drone technology is gradually becoming an indispensable part of human life. With the increasing demand for complex tasks of UAVs from all walks of life, a single UAVs will not be able to effectively complete the task, and UAVs cluster gradually comes into people's perspective, and the resulting positioning of UAVs cluster has become the focus of current research. Azimuth-only passive positioning is a method that can adjust the position of UAVs and maintain formation. Several drones in the team send signals, and the rest of the drones passively receive signals to obtain direction information for positioning, and then adjust the position of the drones. this paper establishes Kalman filter algorithm model based on multidimensional eigenvalues, path planning model based on Bayesian estimation, and uses triangulation positioning method, particle swarm optimization algorithm and other methods to optimize azimuthing-only passive positioning of UAVs in formation flight. this method effectively improves the accuracy of UAV positioning and plays an important role in solving practical problems. © 2023 IEEE.

关键词： Bayesian estimation path planning model Kalman filter algorithm particle swarm optimization algorithm triangulation positioning method

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Decentralized Online Multi-Objective Optimization for Electric Vehicle Charging Stations Operations 6

Decentralized Online Multi-Objective Optimization for Electr...

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6th international conference on Electronic engineering and Informatics, EEI 2024

作者： Duan, Juntao Li, Yuanzheng Liu, Jiantao School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China China Electric Power Research Institute Nanjing China

ISBN: (纸本)9798350353594

To satisfy the charging demands of electric vehicles (EVs) in cheap and fast way while protecting the privacy of EV charging stations (EVCSs), a decentralized online multi-objective (OMO) optimization framework for EVCSs operations is proposed. the framework aims to optimize the power cost and the utilities of EVCSs and guide their convergence to the targets, which are set before the dispatch. A recently reported target-based online dynamic weighted (TBODW) algorithm is used to transfer the multi-objective (MO) problem into single-objective problems. then, the decentralized optimization method is proposed in this study to solve the single-objective problem decentralized to avoid the leakage of EVCSs. Numerical experiments are designed and their results show the effectiveness and the convergence of this framework. © 2024 IEEE.

关键词： Decentralized control

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Intelligent Log Analysis Technology for Distributed Energy Production Management System 6

Intelligent Log Analysis Technology for Distributed Energy P...

引用

6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Qie, Kaiming Wang, Yuanyuan Lin, Fuliang Zhao, Ruizheng Yang, Han Beijing Institute of Control and Electronic Technology Science and Technology on Information Systems Engineering Laboratory Beijing China School of Automation Chongqing University Chongqing China

ISBN: (纸本)9798350346671

Aiming at the demand of distributed energy production management system for intelligent operation and maintenance, considering the problems in current log analysis method, we propose an intelligent log analysis technology for distributed energy production management system. this technology applies distributed log framework to achieve the collection, storage, analysis and display of various equipment and service logs in the energy production management system. On the one hand, we use log anomaly detection technology to realize the anomaly detection of single node and the generating of log anomaly alarm, On the other hand, we use rule reasoning technology to realize the analysis and tracing of log anomaly alarm. In addition, we combine with practical application, optimize the traditional rule matching algorithm, which improves the fault tolerance of the matching network, and gets better accuracy and efficiency of the algorithm. © 2023 IEEE.

关键词： Anomaly detection

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An IoT-Based Smart System for the Detection, Notification and Prevention of Vehicle Accidents 6

An IoT-Based Smart System for the Detection, Notification an...

引用

6th international conference on electrical engineering and Information and Communication Technology, ICEEICT 2024

作者： Barman, Shohag Bin Hafiz, Md. Ferdous Khan, Niaz Ashraf University of Liberal Arts Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350385779

the study presents an innovative Internet of things (IoT)-based smart system that is precisely designed to detect, notify, and prevent vehicle accidents. the study aims to enhance road safety by leveraging IoT technologies to continuously monitor and analyze real-time data from vehicles and road infrastructure. Integration of various sensors, including accelerometers, ultrasonic, limit switch, GPS, GSM, control switch, and vibration sensors, enables the system to detect critical events. A signal from an accelerometer, vibration and a GPS sensor are detected with the help of a GSM device and the system automatically sends an alert message through the app to the emergency services, including chosen contact and ambulance. the goal of this study is to promote speedy reactions and minimize potential damage. Furthermore, the system employs preventive measures, such as automatic braking and adaptive speed control, to help mitigate the risk of accidents, also the system informs the driver with a buzzer sound about the danger zone, engine temperature and over speeding of the vehicle. the implementation of an IoT -based smart system has the potential to significantly reduce the accident and severity of vehicle accidents, thereby enhancing road safety and ultimately saving lives. © 2024 IEEE.

关键词： Internet of things

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6G Mobile Network Latency Mobile Edge computing Cloud Architecture 1

6G Mobile Network Latency Mobile Edge Computing Cloud Archit...

引用

1st international conference on Advances in Computer science, electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Naval, Preeti Pushparajesh, V. Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

Communication refers to the process by which one individual conveys information to another. Telecommunication and the instruments are made available by technological gadgets, which is now feasible. 5G mobile network standards are being used at present. It is thought that 6th-generation mobile network standards will address several user needs. 6G will be universally available by 2030. In a cloud computing setup, a specific hardware or geographic location is not required. the main aim of this method is to offer computing resources whenever they are needed. By fusing the two, mobile cloud computing enables more flexible and personalized solutions. Machine learning is finding its way into a wide variety of devices. With the use of AI., mobile network services (MNS) may improve the reliability and personalization of user experiences in areas like fraud detection, mobile transaction security, network operation monitoring, and management. A world without traffic accidents, high-tec, specialized healthcare, and criminal activity would be a reality if 6G mobile network services integrated cloud computing with artificial intelligence. the most important requirements for 6G standards are high data rate connection per user and the ability to manage huge record numbers. Research and development are underway for the next-generation mobile network. there are several intriguing aspects of this age. the most pressing problem that requires solving using suitable forensic methods is security. High-performance computers are needed to improve customer service. Two situations are created by combining technological, organizational, and cloud-hosted application-based research approaches in a high-performance computing setting: monitoring performance via remote desktop connection and real-time stream processing. this article seeks to narrow the designated worldwide spectators with a wide variety of empirical chances to allocate resources for trustworthy and defensible on-demand services. ©

关键词： Mobile edge computing

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Research method of insulator burst fault identification based on self-attention YOLOv4 6

Research method of insulator burst fault identification base...

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6th international conference on electrical engineering and control Technologies, CEECT 2024

作者： Zhenzhen, Zhou Yunhai, Song Sen, He Heyan, Huang Yuhao, He Weiming, Li Yingjie, Yan Institute of Electricity Science Csg Ehv transmission company Guangzhou China Shanghai Jiaotong University School of electrical engineering Shanghai China

ISBN: (纸本)9798331528096

the integrity of the insulator on the transmission line directly affects the safety and reliability of the transmission. In this paper, deep learning method is used to study the problem of insulator image recognition extraction and defect detection. Due to the limitation of the number of model parameters, the existing models cannot directly use high-resolution images, and the recognition accuracy has great room for improvement. In order to solve this problem, a new method of insulator burst fault identification based on self-attentional YOLOv4 is proposed by combining self-attentional YOLO with YOLO. Compared to other models of this type, Transformer's self-attention mechanism can capture long distance dependencies in a sequence. Its model is able to take into account information that is far apart in the sequence to make more accurate predictions. Compared with the traditional YOLOv4 model, it can be found that the proposed insulator burst fault identification model can identify the insulation and its burst fault accurately and quickly. © 2024 IEEE.

关键词： Deep learning

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