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检索条件"任意字段=International Conference on Intelligent System Design and Engineering Application"

共 98344 条记录，以下是541-550 订阅

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application of Hybrid Cloud Architecture in the design of Athletes' Integrated Management system

Application of Hybrid Cloud Architecture in the Design of At...

引用

2024 international conference on Interactive intelligent systems and Techniques, IIST 2024

作者： Zhou, Peng University of Electronic Science and Technology of China Chengdu Sichuan611731 China

ISBN: (纸本)9798350374421

With the continuous development of information technology, the integrated management system of athletes plays an important role in improving the efficiency of athletes' management, optimizing training programs and protecting athletes' privacy. However, the traditional system design often faces the problems of high data storage cost, unstable performance and difficult security guarantee. In order to solve these problems, this study puts forward a scheme of applying hybrid cloud architecture to the design of athletes' integrated management system, and verifies its effectiveness through case studies and empirical analysis. Firstly, by comparing the differences between traditional system and hybrid cloud architecture in system performance, flexibility and security, it is found that hybrid cloud architecture can optimize resource utilization and improve system flexibility and security. Secondly, the case study shows that the hybrid cloud architecture optimizes the resource utilization of the system and improves the performance and response speed of the system. The system has higher flexibility, and club managers can flexibly adjust the resource allocation in public and private clouds according to actual needs;The security of the system is improved. By encrypting, storing and transmitting sensitive data and implementing strict authority control mechanism, the personal information and training data of athletes are protected. To sum up, this study provides new ideas and methods for the design and practice of athletes' integrated management system, and provides better user experience and management efficiency for club managers. © 2024 IEEE.

关键词： Cloud computing architecture

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The design and Implementation of intelligent Maintenance Management system for Mountainous Highway

The Design and Implementation of Intelligent Maintenance Man...

引用

2024 international conference on Mechatronics and intelligent Control, ICMIC 2024

作者： Hou, Xiaoning Zhang, Yiying Yan, Kai Liu, Hao Luo, Linling He, Lirong Co. Ltd. 33 Xuefu Road Nan'an District Chongqing400067 China The First Institute of Geoinformation Mapping of Ministry of Natural Resources Xi'an710054 China Chongqing Wukang Technology Co. Ltd. 33 Xuefu Road Nan'an District Chongqing400067 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Aiming at the problems of difficult data collection, poor quality and low utilization rate of highway in high temperature and rainy mountains areas, an intelligent maintenance management system is designed to realize the combination of inspection and maintenance, and integrate the design, construction and maintenance information of highway facilities. Based on GIS map service, the system integrates regression prediction algorithm and maintenance decision algorithm to realize six functional modules, such as road performance evaluation and maintenance decision-making, to provide users with scientific decision support, improving management efficiency, saving management costs and reduce maintenance costs, and achieving the goal of intelligent management and maintenance. © 2025 SPIE.

关键词： Highway administration

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Research and application of Source-network-load-storage Integrated Virtual Power Plant Technology Under the Background of a New Power system 3

Research and Application of Source-network-load-storage Inte...

引用

3rd international conference on New Energy and Power engineering, ICNEPE 2023

作者： Li, Fang Liu, Zesan Meng, Hongmin State Grid Information and Communication Industry Group Co. Beijing100085 China

ISBN: (纸本)9798350393224

The development of virtual power plant (hereinafter referred to as VPP) technology has broad application prospects. This technology is conducive to promoting the balance of supply and demand in the power grid, promoting the full consumption of new energy, and ensuring the safe and economic operation of the power system. After analyzing the opportunity background of VPP integrating source-network-load-storage, this paper summarizes the main business types of current VPP applications, analyzes the technical requirements for realizing intelligent management of VPP on communication technology, optimization scheduling technology, and market bidding technology, adopts the idea of business capability layered design, and then proposes a reproducible and scalable VPP intelligent management system architecture design method. Finally, this system is applied to the construction case of a park-type integrated VPP with sourcenetwork-load-storage, which verifies the efficiency and advancement of the system. © 2023 IEEE.

关键词： operation and control source-network-load-storage integration virtual power plant

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Data Fusion and Real-Time Monitoring of intelligent Fire Protection system Based on Internet of Things 7

Data Fusion and Real-Time Monitoring of Intelligent Fire Pro...

引用

7th international conference on Automation Electronics and Electrical engineering

作者： Liu, Jiangping Wu, Chuansong China Fire & Rescue Inst Beijing Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper proposes a data fusion framework combined with machine learning algorithm, aiming to improve the real-time response capability of intelligent fire protection system in fire monitoring and disaster prediction. The system design adopts a multi-level data processing architecture, which reduces redundant information and improves the accuracy and timeliness of data by fusing data from different sensors. The system first collects environmental monitoring data through the sensor network and transmits it to the central processing unit. The central unit uses the data fusion algorithm to synthesize and optimize the information from different data sources to ensure that the obtained data is more accurate and has high timeliness. Then, the historical data is trained in combination with the machine learning model to build a fire risk prediction model, and generate warning information based on real-time data. The simulation results show that the system can accurately identify fire events and respond within 0.5 seconds under various disaster scenarios. Data analysis shows that the fusion algorithm improves the system accuracy and shortens the fire response time by about 30%, from an average of 7 seconds to 5 seconds. At the same time, the false alarm rate is reduced from 12.5% of the traditional method to 3.8%, effectively reducing the risk of false alarms and missed alarms. In addition, the accuracy of fire identification is improved by 15% compared with the traditional algorithm, from 78.2% to 93.5%.

关键词： Internet of Things intelligent fire fighting system data fusion real-time monitoring sensor network machine learning

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The Informatization Construction and intelligent Development of the Power Logistics system in Enterprises 24

The Informatization Construction and Intelligent Development...

引用

2nd international conference on Artificial Intelligence, systems and Network Security, AISNS 2024

作者： Jiang, Yan Dai, Sumin Wang, Xu Sun, Lei BEIJING FIBRLINK COMMUNICATIONS CO. LTD. Beijing China

ISBN: (纸本)9798400711237

In recent years, the rapid development of information technology has made the informatization and intelligent development of logistics management systems in global power enterprises increasingly significant. While the application of information technology has significantly improved the management efficiency of power enterprises, challenges remain in optimizing logistics resource allocation, achieving real-time monitoring, and supporting decision-making. To address these challenges, this paper aims to further enhance the efficiency and service quality of power enterprise logistics management by introducing modern information technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI). The study adopts the design and integration of intelligent management systems, and through case studies, demonstrates how these technologies can improve the optimization of logistics resources and achieve efficient real-time monitoring. This research not only helps to improve the efficiency of logistics management in power enterprises but also provides important technical support for the continuous, stable, and healthy development of China’s power industry. © 2024 Copyright held by the owner/author(s).

关键词： Informatization

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The application of Digital Technology in Modern Smart Distribution Network Management Model

The Application of Digital Technology in Modern Smart Distri...

引用

2024 international conference on Innovative design and intelligent Manufacturing, IDIM 2024

作者： Chen, Diyu Wang, Linmei Liang, Qiu Zang, Yuqing State Grid Taizhou Power Supply Company Taizhou318000 China

ISBN: (纸本)9781643685427

In order to solve the problems of inaccurate investment management and extensive process control of distribution network projects, the application of digital technology in modern intelligent distribution network management mode was proposed. Based on the SG-UAP platform, the basic data and safety management and control content in the construction process of distribution network engineering are integrated, and the design idea of lean management and control system for distribution network engineering is proposed. The test results show that only one of the concurrent transactions operated by 50 users failed to be simulated;The longest and average response times reached 9s and 3s respectively, and the CPU utilization reached 60%. When simulating the concurrent transaction operations of 100 users, only 4 failed. The maximum and average response times were 14 seconds and 7 seconds, respectively. The CPU utilization reached 68%. © 2024 The Authors.

关键词： digitization engineering safety smart distribution grid whole process

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Research on the application of key technologies of intelligent vision systems for industrial robots in object inspection

Research on the application of key technologies of intellige...

引用

2024 international conference on Physics, Photonics, and Optical engineering, ICPPOE 2024

作者： Yang, Libo Guangdong University of Science and Technology Dongguan523083 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

Industrial robots, as one of the representative equipment in advanced manufacturing systems, are widely used in modern production and manufacturing processes, replacing humans to efficiently carry out industrial production tasks in various complex environments. Further enhancing the external environment perception capabilities of industrial robots is the main direction of current research in the development of intelligent vision systems for industrial robots. Since vision sensors can provide industrial robots with relatively complete environmental information and demonstrate certain advantages in non-contact measurement, the performance of intelligent vision perception systems has become an important manifestation of the intelligence of industrial robots. Therefore, this paper utilizes literature research to elaborate on the current research status of intelligent vision systems for industrial robots both domestically and internationally, clarify the direction of this research, and guide the conduct of this study. It outlines the intelligent vision system for industrial robots, serving as the theoretical basis for the research. Taking the parallel industrial robot sorting system based on 2D machine vision as an example, this paper adopts a case study approach to demonstrate the application of key technologies of intelligent vision systems for industrial robots in object inspection. © 2025 SPIE.

关键词： Inspection

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design and implementation of urban rail vehicle ATC digital debugging system 3

Design and implementation of urban rail vehicle ATC digital ...

引用

3rd international conference on Electronic Information engineering, Big Data, and Computer Technology, EIBDCT 2024

作者： Yang, Shuo Zhang, Chunguang Zhang, Lifang School of Automation and Electrical Engineering Dalian Jiaotong University Dalian China

ISBN: (纸本)9781510680449

In order to solve the problems of cumbersome operation steps in the current static debugging of subway ATC equipment and error-prone manual recording and judgment of test data, a subway simulated ATC intelligent equipment system base d on MQTT protocol is designed and developed to improve the debugging efficiency and security. By configuring MQTT connection IP parameters and establishing MQTT connection, the intelligent equipment can release the working status a nd test results in real time. The Spring Boot and Vue framework monitoring system is built through the cloud server and used to subscribe and monitor the status information of the intelligent equipment, so as to realize the information management of the whole process of vehicle debugging. The design scheme improves the efficiency and security of subway ATC equipment debugging and meets the basic requirements of constructing digital debugging production line. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Efficiency

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A design Method for an intelligent Tutoring system with Algorithms Visualization 36th

A Design Method for an Intelligent Tutoring System with Algo...

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36th international conference on Industrial, engineering and Other applications of Applied intelligent systems (IEA/AIE)

作者： Nguyen, Hien D. Hieu Hoang Triet Nguyen Khai Truong Huynh, Anh T. Le, Trong T. Sang Vu Univ Informat Technol Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Vietnam

ISBN: (纸本)9783031368189;9783031368196

Nowadays, learning has become more efficient via active learning methods. Active learning methods bring excitement and engagement to students. The proposed method in this paper suggests the utilization of graphical and dynamic web-based tools for visualization, as it is one of the most common and straightforward approaches. The objective of this method is to design an intelligent system for learning algorithms that can display the developed algorithm visually. This method proposes a model for representing the knowledge of an algorithm, called AI-Algo model, and solving problems about algorithm visualizing. The application of this method involves the development of an intelligent learning system focused on algorithms in a data structures and algorithms course. Additionally, it can support the knowledge engineer in creating and updating the content of visualization.

关键词： intelligent system Knowledge engineering Visualization Data Strucutre and Algorithms

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Optimization and application of Machining Process Based on intelligent Control Algorithm

Optimization and Application of Machining Process Based on I...

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2024 international conference on Power, Electrical engineering, Electronics and Control, PEEEC 2024

作者： Zhu, Binhai Yu, Li Harbin Huade University Heilongjiang Harbin150025 China

ISBN: (纸本)9798350378917

With the intensification of manufacturing competition and the diversification of customer demand, the machining industry is facing unprecedented challenges. In order to improve production efficiency, reduce costs and meet the requirements of high-quality products, technological innovation and process optimization are urgently needed in the industry. By analyzing the principle of intelligent control algorithm and its application in machining, this paper puts forward an intelligent control strategy combining fuzzy control and neural network to realize real-time monitoring and dynamic parameter adjustment of machining process. This study introduces the proposed optimization scheme in detail, including the design of fuzzy controller, the construction of neural network model and their fusion application in machining parameter adjustment. The experimental design is based on a precision mechanical parts processing factory. By monitoring cutting force, temperature, vibration and other data in real time, the machining parameters such as cutting speed, feed rate and cutting depth are dynamically adjusted by intelligent control algorithm to optimize the machining process. The experimental results show that the optimization scheme of machining process based on intelligent control algorithm has achieved remarkable results in improving machining accuracy, efficiency and stability. Compared with the traditional machining mode, the intelligent control mode is superior in reducing the dimensional deviation of bearing sleeve, improving machining accuracy and product consistency. At the same time, the intelligent control mode improves the production efficiency, reduces the production cost and enhances the competitiveness of enterprises by reducing the overall processing time. This study not only verifies the effectiveness of intelligent control algorithm in machining, but also provides new ideas and methods for the continuous innovation and development of machining industry. © 2024 IE

关键词： Fuzzy control

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