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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6865 条记录，以下是171-180 订阅

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Research on Edge Active Perception Safety Monitoring system Based on Video Fusion Multi-Target 4

Research on Edge Active Perception Safety Monitoring System ...

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4th IEEE International conference on Power, Electronics and Computer Applications, ICPECA 2024

作者： Huang, Qian Li, Xuewu Wang, Yufeng Sun, Chuanwen Yi, Yongliang Guiyang Monitoring Ctr. of Ultra-High Voltage Transmiss. Co. of China Southern Power Grid Co. LTD. Guizhou Guiyang550081 China

ISBN: (纸本)9798350359589

This project aims to develop an ultra-high voltage transmission company monitoring center, using STM32F407 microcontroller as the core, combined with wireless ZigBee sensor network, in order to achieve real-time monitoring of transmission lines. The system design follows the principle of modularity to ensure the flexibility and scalability of the system. The main contents include the overall design of the system, the selection and configuration of the sensor, the method of data acquisition and the design of the monitoring interface. The monitoring system can monitor the key parameters of the UHV transmission line in real time, such as temperature, pressure and humidity, and transmit the data to the monitoring center through a wireless sensor network. Through the real-time analysis of the collected data, the monitoring center can fully grasp the status of the transmission line and ensure the transmission safety. In addition, this project also proposes a security state recognition method based on multi-feature fusion. The method classifies the features by cluster analysis, reduces the dimensionality of key data by manifold learning, and obtains the detailed information of each monitoring point. Through the convolution operation of the original monitoring data, all kinds of features are classified according to the same proportion, and the classified data is fused to achieve the integration of multi-source data. The system also divides the collected data flow into data Windows of a specific period, and senses the working state of the transmission line in real time by comparing and analyzing the feature changes in the adjacent Windows. © 2024 IEEE.

关键词： Monitoring and control Multi-feature fusion STM32F407 microcontroller UHV transmission monitoring ZigBee sensor network

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Proceedings - 2024 9th International conference on Automation, control and Robotics Engineering, CACRE 2024

Proceedings - 2024 9th International Conference on Automatio...

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9th International conference on Automation, control and Robotics Engineering, CACRE 2024

ISBN: (纸本)9798350350302

The proceedings contain 82 papers. The topics discussed include: relative-information-based adaptive formation control method for heterogeneous nonlinear uncertain multi-underwater-unmanned system;almost sure ISS and iISS for randomly switched time-varying systems with time-delays;development of a lunar rover simulator with an interface for reinforcement learning;leader-follower safe formation guidance for multiple unmanned surface vehicles based on local sensing information;CEPSO: a novel clustering algorithm for enhancing the lifetime and energy efficiency of wireless sensor networks in power grids;RBF neural networks model-free feedforward control of piezoelectric actuator;a novel lightweight underwater manipulator based on ROS2 for reliable intervention;and target localization method for underwater robots based on synthetic aperture.

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Third International conference on advanced Manufacturing Technology and Manufacturing systems, ICAMTMS 2024

Third International Conference on Advanced Manufacturing Tec...

引用

3rd International conference on advanced Manufacturing Technology and Manufacturing systems, ICAMTMS 2024

ISBN: (纸本)9781510681804

The proceedings contain 183 papers. The topics discussed include: a practical study of a broadband chip amplifier;mechanical design and analysis of 2400kV DC UHV test equipment without local discharge;design of brushless DC motor control system for electric vehicles based on microcontroller;design of automatic control system of self-leveling cement mixing device based on PLC;research on simulation of superalloy drilling processing based on DEFORM;design of permanent magnet discrete pole cluster adaptive manipulator;design and simulation of a multifunctional care bed;the design of rail straightness detector based on the laser displacement sensor;optimization design of sea cucumber bait mixing device based on flow field analysis;a wax printed mold for prototyping microfluidic devices;and blind interconnection design method based on subminiature push-on coaxial connector.

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Real-Time Positioning of Autonomous High-Speed Trains: Combining AI-based Perception and Multi-Source sensor Data 43

Real-Time Positioning of Autonomous High-Speed Trains: Combi...

引用

43rd Chinese control conference, CCC 2024

作者： Wu, Qinghan Jia, Xiaochen Yin, Jiateng Tang, Tao Chen, Xing Beijing Jiaotong University School of Electronics and Information Engineering Beijing China Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing China Beijing Jiaotong University School of Systems Science Beijing China Nanchang Rail Transit Group Limited Corporation Jiangxi Nanchang China

ISBN: (纸本)9789887581581

Due to the complex environment and crowded traffic density, the real-time positioning of trains in high-speed railways is critical to the safety and efficiency of the whole system. Most existing studies in this field focuses on data fusion techniques with collected data from GPS, Balise, and track circuits, while these data from different sources are usually inaccurate and 'discrete'. In our study, we proposed a new approach that combines the multi-source data fusion with AI-based perception from in-cabin videos. Specifically, we developed an attention-based (Convolutional Neural Networks) CNN model. Our model has three modules: 1) CNN achieves visual perception recognition from line-side fixed objects (e.g., positioning poles of contact network);2) A fuzzy matching module corrects the perceptual data;and 3) an attention module integrates the perceptual data with positioning data from multi-source sensor. We collected the real-world data from EOAS system in Beijing-Shanghai high-speed railway. We trained and test our deep learning model with several benchmarks, which verify the effectiveness of our approach regarding the positioning accuracy of high-speed trains. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Convolutional neural networks

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Dual-mode sensor Information Acquisition system Design 5

Dual-mode Sensor Information Acquisition System Design

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5th International conference on Artificial Intelligence and advanced Manufacturing, AIAM 2023

作者： Peng, Xiao Shen, Tao Liu, Kainan Ge, Xianli Li, Qingyun Rocket Force University of Engineering Xi’an China China Academy of Space Technology Department of Discipline Inspection and Law and Audit Beijing China

ISBN: (纸本)9781839539848

When the satellite signal is interfered, the dual-mode sensor information acquisition system can assist the autonomous navigation and positioning by collecting the data of different sensors. This paper mainly completes four parts: the overall design of the system, the realization of the system hardware, the design of the system software and the verification of the experimental results. The system is finally integrated on the PCB board, using AR0134 binocular vision image acquisition unit and XC-IMUM05 micro inertial measurement unit to collect external information, using FPGA to process the collected information in parallel and upload it to the upper computer through the USB2.0 interface module for real-time display. Based on the time synchronization algorithm and the corresponding hardware and software system, the synchronous output of micro-inertial measurement unit data and binocular vision image data is realized by using the characteristics of FPGA parallel output, which provides the data foundation for the next integrated navigation. © The Institution of Engineering & Technology 2023.

关键词： Field programmable gate arrays (FPGA)

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Integration of Collaborative Robots in Aerospace Manufacturing: Enhancing Precision and Safety through advanced sensor and Communication Technologies 12

Integration of Collaborative Robots in Aerospace Manufacturi...

引用

12th IEEE conference on systems, Process and control, ICSPC 2024

作者： Aziz, Aiman Nabihah Abdul Yap, Hwa Jen Sekaran, Sivadas Chandra Ismail, Ahmad Humaizi Hisaburi, Ahmad Syazwan Mohd Tan, Chee Hau Kajang Malaysia Universiti Malaya Faculty of Engineering Dept.of Mechanical Engineering Kuala Lumpur Malaysia Spirit AeroSystems Malaysia Sdn Bhd Subang Jaya Malaysia

ISBN: (纸本)9798350391398

High-mix low-volume manufacturing industries like aerospace lag in the implementation of automation to improve their production rate while ensuring safety due to various reasons. This paper explores the possibility of integrating a collaborative robot into a precision drilling operation while addressing issues highlighted in the literature. This system incorporates a wide range of sensors including a force-torque sensor, camera and image processor, proximity sensor, LIDAR, and touch probes connected via multiple communication protocols for increased efficiency and safety. The system demonstrated the capability of achieving positioning accuracy within the specified tolerance of 0.2 mm for more than 90% of the holes along both the X- and Y-axes after the first correction cycle, while subsequent cycles show minimal improvements. The system is then further optimized for best efficiency and validated for safety against the unexpected presence of human drillers with the robot stopping within 0.1 seconds of human proximity. Despite the success of the experiment, several challenges due to robotic and system limitations were noted. This research was done to contribute to the development of an intelligent, data-centric robotic system for aerospace manufacturing with a focus on precision and safety. © 2024 IEEE.

关键词： Collaborative robots

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A Novel Hybrid Brain-Computer interface Based on Integration of Steady-State Visual Stimulation and Rapid Serial Visual Presentation Paradigm

A Novel Hybrid Brain-Computer Interface Based on Integration...

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2024 IEEE International conference on Robotics and Biomimetics, ROBIO 2024

作者： Xie, Jun Zhang, Huanqing Tao, Qing Fang, Peng Liu, Junjie Ge, Zengle Shao, Yixuan Ding, Yuhang School of Mechanical Engineering Xinjiang University Urumqi830017 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shenzhen Institute of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Engineering Laboratory of Neural Rehabilitation Technology Shenzhen518055 China

ISBN: (纸本)9781665481090

Brain-computer interface (BCI) is a kind of human-computer interaction which can realize the communication and control between human brain and the external environment. The single-modality BCI has the problems of small command set and the difficulty to realize multi-dimensional control. To address these issues, a hybrid paradigm combining steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) was proposed and designed in this study. A 16-target SSVEP-RSVP hybrid BCI (hBCI) was constructed. This novel paradigm aims to achieve fast information transmission, guarantee system performance through efficient visual stimulation, and effectively overcome the crowding effect problem in the traditional BCIs. Through offline and online experiments, the hBCI system based on the SSVEP-RSVP integration paradigm shows high performance, which provides new insights and technical and theoretical supports for the applicable hBCIs. © 2024 IEEE.

关键词： Brain computer interface

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Wireless Greenhouse Monitoring using ESP32 and sensor Array for Sustainable Crop Production 3

Wireless Greenhouse Monitoring using ESP32 and Sensor Array ...

引用

3rd International conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Sharma, Prachi Pandkar, Mehal Nambiar, Shashank Vellore India

ISBN: (纸本)9798350372120

The agricultural sector plays a pivotal role in the economic prosperity of nations, particularly in regions like India, where a substantial portion of the population depends on farming for their livelihood. To address the challenges hindering agricultural development and promote sustainability and efficiency, the concept of smart farming has emerged. Smart farming leverages modern technologies such as sensors, robotics, cloud computing, and GPS to optimize agricultural processes, leading to increased productivity, efficiency, safety, and environmental friendliness. This paper proposes the development of a Wireless Greenhouse Monitoring system, equipped with an advanced sensor array to regulate critical parameters including temperature, carbon dioxide levels, light intensity, soil moisture, and humidity. By employing the ESP32 microcontroller and integrating IoT and ISP technologies, the proposed prototype enables real-time monitoring and control of environmental conditions within the greenhouse. This system offers farmers a comprehensive solution to enhance crop yields while minimizing resource wastage and environmental impact. Through the integration of state-of-the- art technologies, the proposed system represents a significant advancement in greenhouse management for sustainable crop production, thereby contributing to the promotion of smart farming practices in agriculture. © 2024 IEEE.

关键词： Carbon dioxide

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Mosaic Multi-Spectral sensor control and Drive system Design 8

Mosaic Multi-Spectral Sensor Control and Drive System Design

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8th International conference on Image, Vision and Computing, ICIVC 2023

作者： Y., Huang M., Huang L., Qian Z., Wang W., Zhao Z., Zhang Aerospace Information Research Institute Chinese Academy of Sciences School of Optoelectronics University of Chinese Academy of Sciences Key Laboratory of Computational Optical Imaging Technology Beijing China Aerospace Information Research Institute Chinese Academy of Sciences Key Laboratory of Computational Optical Imaging Technology Beijing China Aerospace Information Research Institute Chinese Academy of Sciences School of Optoelectronics University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350335231

At present, mosaic-coated cameras have important application prospects in the fields of industrial inspection, medical imaging, andUAV remote sensing. In view of the control and data drive problems of coated CMOS, a detector drive and data control system based on field editable gate array (FPGA) is designed in this paper. The system hardware platform adopts a separate structural design according to the system function division, which includes a detector driver board, an FPGA main control board, and an interface board. In addition, DDR3 is used to cache image frame information without data loss. At the same time, HDMI is used as the system image display output interface, while SD card is used for realtime storage of image data. As the core control of the system, FPGA adopts a distributed architecture based on PS+PL to realize CMOS drive, functional interface control, and a series of image data processing flows. Imaging experiments show that the image resolution of the system reaches 2048×2048, and the frame rate is stable at 60 fps, which realizes stable high-resolution and high-frame-rate imaging, and meets the design requirements of mosaic-coated multispectral cameras. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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An Ambient Energy Harvesting interface for Battery-Free Wireless sensor Nodes

An Ambient Energy Harvesting Interface for Battery-Free Wire...

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IEEE Wireless Power Technology conference and Expo (WPTCE)

作者： Liu, Chi-Wei Huang, Cong-Sheng Lo, Wen-Po Chen, Po-Hung Natl Yang Ming Chiao Tung Univ Inst Elect Hsinchu Taiwan

ISBN: (纸本)9798350349146;9798350349139

This paper presents a low-quiescent-power battery-free energy harvesting interface for micro-watt to milliwatt applications with a single-inductor dual-input dual-output (SIDIDO) buck-boost converter. The system contains one renewable source input, one regulated output and one bidirectional energy transfer node with a storage capacitor for storage and reuse the energy. To achieve high power conversion efficiency (PCE) with micro-watt input power, we embedded dynamic-power-gating under-voltage lockout (DPG-UVLO) circuit, dynamic-voltage-feedback (DVFB) and pulse-frequency modulation (PFM) control to reduce quiescent power. The measurement quiescent power is 1.9 mu W and the peak PCE is 86.4%.

关键词： Energy harvesting battery-free system power management multi-input multi-output converter

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