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The Impact of Energy Storage Setup on Integrated Energy Systems 8

The Impact of Energy Storage Setup on Integrated Energy Syst...

引用

8th international conference on Electrical, Mechanical and computer engineering, ICEMCE 2024

作者： Mao, Lujie Tang, Aihong Wang, Qingming Yu, Peng Zeng, Zhongwen Liu, Songjian Wuhan University of Technology School of Automation Wuhan China

ISBN: (纸本)9798331506230

Under the 'Dual Carbon' goal, the energy internet and low-carbon electricity have become major trends in current development. The objective of this paper is to enhance the energy efficiency of the integrated energy system, optimise the operational state of the equipment, and investigate the performance and potential for improvement of the system in terms of carbon emissions. This paper concentrates on the particular effects of energy storage equipment on economic costs, carbon emissions and wind curtailment subsequent to its introduction into the integrated energy system. This paper presents an innovative approach to the two stages of P 2 G, utilising an electrolytic cell, methane reactor and hydrogen fuel cell. Furthermore, a cogeneration strategy with an adjustable thermoelectric ratio and a tiered carbon trading framework aimed at facilitating the decrease of emissions. For this purpose, YALMIP and CPLEX are utilized to develop a low-carbon model of the power system. This model is subsequently employed to assess the effects of energy storage technology on both emissions reduction and economic performance. The operational outcomes of the model are subjected to rigorous examination, thereby furnishing substantial impetus for the optimisation of the energy system. © 2024 IEEE.

关键词： Low emission

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Design of adaptive projection interactive system for automotive headlights based on STM32 and DLP 4

Design of adaptive projection interactive system for automot...

引用

4th international conference on Mechanical, Electronics, and Electrical and automation Control, METMS 2024

作者： Xiang, Ruiqiao Zhang, Yanrong School of Mechanical Engineering Southwest Jiaotong University Chengdu610031 China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

Aiming at the requirements of high resolution intelligent car lights, this paper designs a projection interactive system of automotive headlights based on STM32 and DLP (Digital LightProcessing) technology, which has the functions of real-time video image transmission and human-computer interaction to realize light projection control. STM32F429 series microcontroller is adopted in the system. Based on this design, the man-machine interface realizes the driver's touch screen operation. Wireless communication is realized through Bluetooth module, which makes the interaction more convenient. The total controller based on STM32F429 can process the command from HMI in time and call the image projection function or pedestrian anti-glare function. A video bridge chip is designed to bridge the RGB video signal output by the total controller to Open LDI video signal to realize video transmission. The DLP5531DMD device is used to receive the video signal, and the LED light is reflected to realize the image projection. In this paper, the system hardware platform is built, the system software is designed, and the two functions of projection interaction are tested to confirm that the system control display can meet the design requirements. © 2024 SPIE.

关键词： Controllers

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Investigation of Various Approaches to Synchronous Generator Parameter Estimation Through Synchrophasors captured under transients 7

Investigation of Various Approaches to Synchronous Generator...

引用

7th international Scientific and Technical conference Relay Protection and automation, RPA 2024

作者： Ivanov, I.E. Rafikov, V.R. Ivanovo State Power Engineering University Department of Electric Power Engineering Ivanovo Russia

ISBN: (纸本)9798331501105

Verifying parameters of the equivalent circuits of various power network components, such as synchronous generators, is one of the important applications of synchronized phasor measurements. Accurate 'on-the-fly' measurements of stator current and voltage quantities under steady-state and transient conditions allows estimating generator model parameters without disconnecting the machine from the bulk power system and subsequent specialized testing procedures. A standard generator model represented by the well-known Park-Gorev equations has quite a few parameters that are rather hard to determine all at once. With this in mind, it would be beneficial to break up the estimation problem into several stages. First, synchronous reactances could be determined through a set of measurements pertaining to different steady-state conditions. After that, transient parameters and the inertia constant are to be identified by applying a set of measurements captured under transients. This study is devoted to the development and testing of various approaches to estimating the machine transient parameters along with the inertia constant through a set of data collected from a phasor measurement unit throughout power system transients. A general step-by-step procedure is described, and related numerical results obtained through computer-aided simulations are summarized. © 2024 IEEE.

关键词： Phasor measurement units

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Active Learning in Industrial Defect Detection: A Dynamic Approach to Uncertainty and Representativeness 5

Active Learning in Industrial Defect Detection: A Dynamic Ap...

引用

5th international conference on Intelligent Computing and Human-computer Interaction, ICHCI 2024

作者： Shen, Yuhao Liu, Feifei Zhang, Zhen School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou China School of Electrical Engineering and Automation Jiangxi University of Science and Technology Ganzhou China

ISBN: (纸本)9798350368284

The storage and annotation of industrial data is a costly and time-intensive work in developing a defects detector. To overcome this challenge, this study proposes an effective annotation workflow and an active learning strategy that integrates uncertainty and representativeness to construct a reliable defects detection model. The annotation workflow involves both the advisor and the labeling team for the inspection of industrial data that depends on specialized knowledge in a particular area. The active learning strategy combines the uncertainty-based and the representativeness-based sampling metrics flexibly to assess the informativeness of the unlabeled data. Besides, a training strategy for active learning models is used to address not only data uncertainty but also the generalization of feature distribution across all data. We benchmark the proposed method on Bottled Baijiu Defect Detection Dataset, utilizing RetinaNet as the baseline detector. Results demonstrate that the proposed method significantly reduces labeling costs and data storage requirements, which is crucial for industrial defect detection. © 2024 IEEE.

关键词： Active learning

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Tramline Surveil System Escorting Liability Observation and Localization 2

Tramline Surveil System Escorting Liability Observation and ...

引用

2nd IEEE international conference on IoT, Communication and automation Technology, ICICAT 2024

作者： Bhavadharani, K. Dheepa, M. Dharshini, M. Bangadharshini, D. Dhivyabharathi, N. V.S.B. Engineering College Department of Computer Science and Engineering Karur India

ISBN: (纸本)9798350368109

Our robotic system, which combines IoT monitoring and Arduino- based technology to detect obstacles and cracks, is important for railway track inspection. The robot's sensors are designed to match the characteristics of train tracks, ensuring accurate track defect detection and reliable obstacle recognition. This innovative approach provides an automated, low-cost solution for spotting potential hazards, with the purpose of increasing railway track maintenance efficiency. By seamlessly integrating the robot's real-time data collecting into the IoT platform, railway officials will be able to remotely monitor track conditions and perform maintenance measures as needed. Our effort addresses critical safety and maintenance challenges to create a more dependable and safer rail network by combining cutting-edge technology with railway infrastructure requirements. By offering an autonomous, low-cost, and highly sophisticated design that enhances the security and effectiveness of railroad foundation perpetuation, this innovative electronics seeks to transform railroad path inspection procedures. We hope to modernise train networks and provide a reliable, secure way of transport with the aid of this initiative. © 2024 IEEE.

关键词： Liquid crystal displays

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computer Vision Enabled Pick and Place Robot for Warehouse automation 5

Computer Vision Enabled Pick and Place Robot for Warehouse A...

引用

5th international conference on Smart Electronics and Communication, ICOSEC 2024

作者： Prajapati, Vandana Kumari Shashank, Sarikonda Aryan Nithya, M. Amrita Vishwa Vidyapeetham Amrita School of Engineering Department of Electrical and Electronics Engineering Bengaluru India

ISBN: (纸本)9798331504403

In today's fast paced logistics and manufacturing sectors, being efficient and accurate is crucial. An industrial and warehouse-oriented computer vision-enabled pick-and-place robot is the subject of this research. To accurately identify, grab, and transfer goods inside a work area, the proposed system merges advanced computer vision technology with robotic arms. The robot can detect and operate objects of varied sizes, shapes, and positions owing to machine learning. This ability of the robot improves efficiency and accuracy while eliminating the need for humans to do repetitive tasks. Training the computer vision model on a custom dataset, assembling the robotic system, and testing the system in real-world circumstances are all part of the work. This work aims to develop a simple yet efficient pick and place robotic system. A Raspberry Pi is used as the central processing unit for the robot. The object detection model deployed on the microcontroller is trained on an extensively designed dataset, with various augmentations. In order to choose an optimal object detection model for the work, a model performance evaluation was conducted based on different training metrics like accuracy and processing speed on different devices. A comparative study of Yolov5 and SSD models is also performed and the accuracy, and efficiency of the algorithms were analyzed. © 2024 IEEE.

关键词： Robotic arms

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Research on Path Planning Based on Improved Slime Mold Algorithm 4

Research on Path Planning Based on Improved Slime Mold Algor...

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4th international conference on Electronic Information engineering and computer Science, EIECS 2024

作者： Jia, Lishan Xu, Wei College of Electronic Information and Automation Civil Aviation University of China Tianjin China

ISBN: (纸本)9798331531409

The basic slime mold algorithm tends to become trapped in local optima during the optimization process, and the convergence rate is slow, so an improved slime mold algorithm is used. Firstly, a low difference sequence Halton was used to initialize the population, so that the distribution of slime molds in the initial population was uniform and non-overlapping. Secondly, adaptive parameters with more reasonable value changes and Levy flight are introduced into the position updating process, so that the algorithm has a reduced tendency to become trapped in local optima. Finally, six test functions are used to compare the improved slime mold algorithm with the basic slime mold algorithm, particle swarm optimization algorithm and whale algorithm, and it can be observed that the improved slime mold algorithm exhibits a higher convergence rate and greater capacity to escape local optima. Then, the improved slime mold algorithm is applied to grid path planning. By comparing the path length and iteration curve, it has been demonstrated that the improved slime mold algorithm can be utilized more effectively for path planning. © 2024 IEEE.

关键词： Optimization algorithms

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Soft Tissue Tumor Detection Using U-Net 8

Soft Tissue Tumor Detection Using U-Net

引用

8th IEEE international conference on Computing, Communication, Control and automation, ICCUBEA 2024

作者： Kasliwal, Ayush Shende, Jayant Fuse, Aryan Borde, Abhishek Dhamdhere, Vidya G H Raisoni College of Engineering and Management Computer Engineering Department Pune India

ISBN: (纸本)9798350391770

Soft tissue tumor detection is vital for accurate diagnosis and treatment planning in clinical practice. In this manuscript, we present a fresh perspective for soft tissue tumor detection using the U-Net architecture, a powerful convolutional neural network (CNN) model widely employed in medical image segmentation tasks. Our method leverages the inherent capabilities of U-Net for precise delineation of soft tissue tumors from medical images. We augment the U-Net model with advanced techniques such as region growing and confidence-connected thresholding to enhance segmentation accuracy. Through comprehensive experimentation on diverse datasets, we demonstrate the efficacy of our approach in accurately detecting soft tissue tumors across various modalities and imaging conditions. Comparative analysis with existing methods underscores the superiority of our proposed method in terms of both accuracy and computational efficiency. Moreover, we discuss the practical implications and potential applications of our approach in clinical settings, highlighting its utility for assisting medical professionals in accurate tumor detection and treatment planning. Overall, our proposed method represents a significant advancement in soft tissue tumor detection, offering a reliable and efficient solution for clinical diagnosis and management. © 2024 IEEE.

关键词： Convolutional neural networks

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Directed Explorations During Flood Disasters Using Multi-UAV System 18

Directed Explorations During Flood Disasters Using Multi-UAV...

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IEEE 18th international conference on automation Science and engineering (IEEE CASE)

作者： Garg, Armaan Jha, Shashi Shekhar Indian Inst Technol Ropar Dept Comp Sci & Engn Ropar Punjab India

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

The disaster relief operations during floods require time critical information of the flooded area to save lives. Finding critical regions of the disaster struck area in a limited time frame is crucial for effective relief planning. In this paper, we propose a multi-UAV based system with directed explorations of flooded area to gather time-critical ground information using deep reinforcement learning based controls. We learn an exploration policy for the multi-UAV system with limited battery for autonomous coverage of the flooded region. Further, we integrate D8 flow algorithm that approximates the water flow direction based on image pixel information of a sub-region in the UAVs' exploration strategy. The results show that our proposed method for multi-UAV exploration of flooded area outperforms other methods from the literature. Moreover, the learnt multi-UAV exploration policy is able to generalize to unseen flooded regions without any retraining.

关键词： Knowledge engineering computer aided software engineering automation Reinforcement learning Robustness Batteries Planning

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Research on smart household gateway based on cloud-edge collaboration 4

Research on smart household gateway based on cloud-edge coll...

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4th international conference on Mechanical, Electronics, and Electrical and automation Control, METMS 2024

作者： Ma, Qiongqiong Lu, Yingchuan Wang, Tao Wang, Xueshan Yan, Gaofeng Information Technology Co Ltd China Mobile Hangzhou China College of Computer Science and Technology Zhejiang University of Technology Hangzhou China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

With the continuous development of cloud-edge technology, the collaborative system has become an essential method for industrial production and management. However, existing cloud-edge system almost applies in industrial situation and ignore the household environment. In this work, we utilize a hybrid cloud-edge architecture where the edge component processes real-time data locally, while the cloud component handles extensive data storage and analysis. The smart household gateway serves as the central node in this architecture, facilitating communication and data exchange between devices and the cloud-edge system. From our extensive simulation results, we can observe that the proposed model can significantly improve the data processing speed, reliability, and save the computation costs through comparing with traditional cloud-only systems. Additionally, the system provides enhanced privacy and security features by minimizing the amount of sensitive data transmitted to the cloud. © 2024 SPIE.

关键词： Digital storage

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