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Research on Intelligent Automatic Operating system of Marine Concrete Coating aided by computer Technology 7

Research on Intelligent Automatic Operating System of Marine...

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7th international Conference on Robotics, control and Automation (ICRCA)

作者： Guo, Zhangfeng China Railway 20th Bur Grp Third Engn Co Ltd Chongqing 400065 Peoples R China

ISBN: (纸本)9798350345780

Concrete structures are prone to corrosion under marine environmental conditions. The marine environment can usually be divided into atmospheric region, splash region, tidal region and underwater region according to the different regions of its effect on the structure. These regions have different corrosion conditions, corrosion characteristics and corrosion rates. Therefore, coating is required. In order to reduce resource consumption, the operation of marine concrete coating is handed over to the computer intelligent automatic operating system to realize. This paper studies the design of intelligent automatic operating system for marine concrete coating, and proves that the automatic operating system assisted by computer technology will greatly improve its performance. A series of investigation experiments are carried out for this research. First, the important position of marine concrete coating in today's marine engineering and its practicability are fully analyzed, and then the analysis is carried out with computer technology to illustrate its feasibility. Secondly, the PID control algorithm is used to improve the fast response characteristics of the system, enhance the stability of the system, and improve the dynamic characteristics of the system. Final experiments show that intelligent, automated coatings can improve concrete's frost resistance, after using the intelligent automatic operating system, the coating efficiency is significantly improved by more than 20% due to the reduction of manual operations.

关键词： computer Technology Marine Concrete Concrete Coating Intelligent Automatic Operation Analog Simulation

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design of Soil Pollution Prevention and control Evaluation and Analysis Platform based on WebGIS 4

Design of Soil Pollution Prevention and Control Evaluation a...

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4th international symposium on computer Technology and Information Science, ISCTIS 2024

作者： Liu, Derong Liang, Hong Gao, Kun Yunnan University School of Information Science and Technology Yunnan Kunming China

ISBN: (纸本)9798350354560

This study focuses on heavy metal pollution in Yunnan Province and designed and developed a data informatization platform for soil environmental quality monitoring and data informatization for pollution control. The platform integrates a large amount of existing heterogeneous data resources from multiple sources, enabling WebGIS visualization of soil environmental quality and pollution, data analysis and graph presentation, thematic mapping and evaluation analysis report generation, and functions for assessing soil environmental quality and determining the causes of agricultural pollution and building areas [1]. By adopting the latest technological architecture such as NodeJS, VueJS and Cesium, the platform achieves efficient data integration, transmission, analysis and visualization, improving the efficiency of analysis, monitoring and control of soil pollution data. The platform uses the single-factor method, the comprehensive Nemerow index method and the analytical hierarchy process as soil pollution assessment methods, combined with coordinated monitoring of heavy metal content in agricultural products, making the assessment results more comprehensive and accurate. This system will help improve soil environmental quality monitoring and pollution control capabilities in Yunnan Province by providing comprehensive and accurate baseline data and scientific decision support to government agencies. © 2024 ieee.

关键词： Soil pollution control

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design of Active Collision Avoidance Algorithm for Driverless Cars Based on Machine Vision 6

Design of Active Collision Avoidance Algorithm for Driverles...

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2023 ieee 6th international Conference on Information systems and computer aided Education, ICISCAE 2023

作者： Hu, Xinyuan Ye, Naijia University of Sussex BrightonBN1 9RH United Kingdom

ISBN: (纸本)9798350313444

With the continuous progress of society, the problem of traffic congestion is becoming increasingly serious. However, when an unmanned vehicle is driving on the highway, it is unavoidable to encounter situations such as vehicle collisions and rear-end collisions. In order to effectively solve this problem, this article proposes to use machine vision technology to deal with such events. By using a computer image recognition system, the required recognition information can be analyzed and extracted to obtain the required results. At the same time, the video data also needs to be converted into digital signals and output to the control unit to realize the automatic collision avoidance function. This article tests the performance of the active collision avoidance algorithm of driverless cars. The test results show that the recall rate of the collision avoidance algorithm is between 0.7-0.89, and the highest collision avoidance accuracy can reach 0.97. This shows that this method can greatly improve the safety performance of driverless cars and create a safer and more convenient travel environment. © 2023 ieee.

关键词： Active Collision Avoidance Automobile design Driverless Driving Machine Vision

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design of Intelligent Monitoring system for Greenhouses Based on PLC and Landscape King 4

Design of Intelligent Monitoring System for Greenhouses Base...

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4th international symposium on Intelligent Robotics and systems, ISoIRS 2024

作者： Zhou, Li Mo, Mingzhang Dong, Zehao Che, Liangyou Guangdong Polytechnic Normal University Interdisciplinary Research Institute Guangzhou China Research Institute of Guangdong Polytechnic Normal University in Heyuan City Heyuan China Guangdong Polytechnic Normal University School of Mechatronic Engineering Guangzhou China

ISBN: (纸本)9798350364798

In order to realize the real-time perception and intelligent monitoring of greenhouse environmental information and provide the best environment for flower growth, this paper develops a set of greenhouse intelligent monitoring system based on PLC and Kingview software. The system includes an upper computer and a lower computer. The upper computer is divided into wired and wireless two forms: the wired upper computer operates through the Kingview human-computer interaction interface, and the wireless upper computer interacts remotely through the cloud management server. The lower computer adopts Siemens S7-200smart PLC as the core control unit, which is equipped with environmental sensors, wireless communication modules, data transmission modules and relay modules to achieve real-time monitoring and control of environmental variables in the greenhouse. The host computer displays the data in real time and stores the data in the database. Combined with the alarm control, the lower computer sends the control command to adjust the greenhouse environment. The greenhouse model is used to simulate the real greenhouse to test the monitoring performance. The results show that the system can realize real-time adaptive environment adjustment, wireless acquisition and display of plant environment variables, wireless remote monitoring of PC, and ensure that the plants in the greenhouse are always in a good growing environment. © 2024 ieee.

关键词： adaptive adjustment intelligent monitoring landscape king PLC wireless collection

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Research on Key Technologies of pilot assistant system 6

Research on Key Technologies of pilot assistant system

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6th international symposium on Autonomous systems, ISAS 2023

作者： Wenjing, Hei Jiaju, Wu Northwest Polytechnic University School of Aeronautics China Flight Control Design Institute Avic the Firs Aircraft Institute Xi'an China

ISBN: (纸本)9798350316155

In the future complex and dangerous combat environment, in view of the pilot's difficulty in processing massive/incomplete information quickly, the lack of flight control ability, the conventional flight is difficult to deal with the battlefield environment and other problems, intelligent design ideas are introduced and the pilot intelligent assistant system is proposed. This paper first introduces the development history of pilot association system (PAS) at home and abroad, and puts forward the current design requirements. Finally, it systematically presents the challenges and key technologies in the overall architecture design, decision-making technology, human-computer interaction, autonomous learning and test verification. © 2023 ieee.

关键词： Decision making

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design and Development of Drivetrain system for Electric Motorcycles 25

Design and Development of Drivetrain System for Electric Mot...

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25th international Middle East Power system Conference, MEPCON 2024

作者： Alagmy, Ahmed R. Sarhan, Mohamed M. Matar, Omar Elagamy, Yahia Khattab, Mohamed H. Bekhit, Mohamed M. Mashaly, Ahmed Abdelkader, Ahmed Kaddah, Sahar S. Badr, Basem M. Mansoura University Faculty of Engineering Electrical Engineering Department Mansoura Egypt Mansoura University Faculty of Engineering Mechatronics Engineering Department Mansoura Egypt Mansoura University Faculty of Engineering Renewable and Sustainable Energy Department Mansoura Egypt Mansoura University Faculty of Engineering Production Engineering and Mechanical Design Department Egypt Ain Shams University Faculty of Engineering Cairo Egypt Lotus Power VancouverBC Canada

ISBN: (纸本)9798350379648

This paper presents the design and analysis of an efficient and low-cost drivetrain system for electric motorcycles (E-Motorcycles). Utilizing advanced CAD (computer-aided design) tools and simulation software such as SolidWorks and MATLAB/SIMULINK, the research evaluates various control strategies for permanent magnet synchronous motors (PMSM) to determine the optimal control scheme. This work focuses on the design and development of a motor drivetrain system that includes an inverter, control systems, PMSM, and drivetrain system. SolidWorks is used to model the CAD of the E-Motorcycle and estimate the inertia of the proposed motor drivetrain system. The CAD analysis and models facilitate and assist the design and development of the motor drive system. A general inverter is designed and built to operate with scalar and vector control schemes for the PMSM, where the control systems are implemented into embedded systems, which are Six-Step, V/F, and Field Oriented control (FOC) systems. The experiments affirm that the FOC provides the smoothest and most efficient operation, which ensures seamless integration and optimal performance. The integration of the PMSM with the custom-designed inverter demonstrated significant improvements in system efficiency and overall performance. © 2024 ieee.

关键词： MATLAB

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Demonstrating a V2X Enabled system for Transition of control and Minimum Risk Manoeuvre When Leaving the Operational design Domain 5th

Demonstrating a V2X Enabled System for Transition of Control...

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5th international Conference on HCI in Mobility, Transport and Automotive systems (MobiTAS) Held as Part of the 25th international Conference on Human-computer Interaction (HCII)

作者： Schulte-Tigges, Joschua Matheis, Dominik Reke, Michael Walter, Thomas Kaszner, Daniel FH Aachen Univ Appl Sci Aachen Germany Hyundai Motor Europe Tech Ctr GmbH Russelsheim Germany

ISBN: (纸本)9783031356773;9783031356780

Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle's software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the ieee IV2022 (ieee Intelligent Vehicle symposium) in Aachen, Germany.

关键词： V2X Transiton of control Minimum Risk Manoeuvre Operational design Domain Connected Automated Vehicle Infrastructure Assisted Driving Vehicle HMI

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Research on the external structure and control system design of biomimetic robots 6

Research on the external structure and control system design...

引用

2023 ieee 6th international Conference on Information systems and computer aided Education, ICISCAE 2023

作者： Sheng, Xishun Wang, Jihong Du, Xinyu Ludong University Yantai China Beijing University of Technology Beijing China Guangdong University of Technology Guangzhou China

ISBN: (纸本)9798350313444

With the continuous development of science and technology, underwater robots as a new robot technology are gradually receiving attention. In order to increase the application range of underwater robots, this paper designs a dolphin robot. Through a comprehensive analysis of the integration of structure, airfoil, and control system, conceptual design references can be provided for newly configured underwater energy capture equipment. In terms of structural design, the energy harvesting device designed in this article draws inspiration from the shape of dolphins, using six fan blades on the head as the main energy harvesting device, and adopting a streamlined structure to minimize the resistance of the device when working underwater. In terms of airfoil analysis, this article adopts the NACA0012 airfoil at the tail rudder, and obtains the best driving performance by integrating velocity cloud maps, static pressure, and cCd curves. In the design and integration of the control system, a PID controller is used, and the underwater main controller is composed of an STM32 microcontroller. It transmits information for STM32 underwater main controller through attitude sensor, depth sensor and temperature sensor, and then realizes overall control of equipment attitude, height, progress and obstacle avoidance, fluid dynamics analysis, PID control and actuator design through PWM driving motor and lamp. It also puts forward new ideas for the future design and development process in terms of robot Motion planning, trajectory tracking and stability control. © 2023 ieee.

关键词： airfoil biomimetic robot energy PID STM32

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Exploiting Machine Learning for the Performance Analysis of a Mobile Hotspot with a Call Admission control Mechanism 27

Exploiting Machine Learning for the Performance Analysis of ...

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27th international Workshop on computer aided Modeling and design of Communication Links and Networks (CAMAD)

作者： Keramidi, Irene Uzunidis, Dimitris Vlasakis, Marinos Sarigiannidis, Panagiotis G. Moscholios, Ioannis Univ Peloponnese Dept Informat & Telecommun Tripolis Greece Univ West Attica Dept Elect & Elect Engn Athens Greece Hellen Open Univ Sch Sci & Technol Patras Greece Univ Western Macedonia Dept Elect & Comp Engn Kozani Greece

ISBN: (数字)9781665461290

ISBN: (纸本)9781665461290

Machine Learning (ML) algorithms can be efficiently employed to calculate various performance metrics in telecommunication systems showing comparable accuracy with analytical expressions while at the same time decreasing the computation time in several operational cases. In this paper, we examine the impact of six ML methods both on the accuracy of calculations and on the estimation time and benchmark them against an analytical formalism which solves a 2D Markov chain to estimate seven performance metrics in a vehicular system of a mobile hotspot. As a consequence, when using ML methods, we show that the computational complexity can be reduced, especially in cases where the system capacity is large and the computational complexity of the 2D Markov chain increases. More specifically, the proposed approach is applied in a dataset which comprises 100,000 operational cases, demonstrating a reduction of estimation time of more than two orders of magnitude while maintaining the average error less than 4.5%.

关键词： machine learning deep neural networks machine learning aided performance estimation vehicular communications

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2024 ieee 19th international Conference on the Perspective Technologies and Methods in MEMS design, MEMSTECH 2024 - Proceedings

2024 IEEE 19th International Conference on the Perspective T...

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19th ieee international Conference on the Perspective Technologies and Methods in MEMS design, MEMSTECH 2024

ISBN: (纸本)9798350378627

The proceedings contain 31 papers. The topics discussed include: Bilow – knee-prothesis study;electrodynamic modeling the motion devices of MEMS;application of bayes theory model to determine the optimal variant of technological process for production of MEMS components;the monitoring of automated platforms for testing Internet of Things devices;simulation of parameters and modes of wave propagation in electromechanical systems using methods of inverse problems theory;advanced computer-aided optimization of quartz resonator-based sensors;improvement of the control system of the robotic mobile platform;segmentation of medical images using deep learning and texture enhancement based on fractional derivative operators;modelling of the dynamic process in the microbeam of the MEMS resonators;exploring the potential of cellulose acetate membranes for precise gas permeation in microfluidic devices;and investigation of magnetic properties of cryogenically cooled electrolyte pure iron powder.

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