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Design and Application of Power intelligent Management System Based on E-Assistant

Design and Application of Power Intelligent Management Syste...

引用

Electrical Engineering, Big data and Algorithms (EEBDA), ieee International Conference on

作者： Hanchen Fu Yubo Ning Yingkai Cai Yidan Wang State Grid Liaoning Marketing Service Center Shenyang China Fushun Power Supply Company of State Grid Liaoning Electric Power Co. Ltd. Fushun China

With the rapid development of marketing informatization of power grid enterprises, companies have strong demand in terms of rapid sharing in information and expanding emerging businesses. Power grid companies need to use advanced and reliable technical means to establish power marketing services mobile operations application systems. This article first analyzes and architectural design based on E-Assistant's power intelligent management system, and then introduces the main application functions implemented by the system. Finally, in combination with the actual situation, it proposes the offline mode and online mode of mobile operations based on E assistant. And the effect of the system after its application in enterprises is analyzed. As for result display, the system design can further enhance the mobile terminal information processing capacity and enhance corporate power supply service capabilities.

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Research on intelligent Control System Technology of Full-Depth Ocean Geological Winch

Research on Intelligent Control System Technology of Full-De...

引用

ieee International Conference on Unmanned systems (ICUS)

作者： YuTian Li Dandan Wang No.710 R&D Institute CSIC Yichang China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

The tension adaptive fuzzy PID control and speed PID control strategy are studied to reveal the law of the influence of cable drawdown length, drag load weight, cable diameter/weight on winch load drawdown performance. Multisource cooperative monitoring and integrated safety state monitoring and warning technology, intelligent fault analysis and diagnosis technology of geological winch system are studied. It integrates parameter setting, data processing, output control signal, acquisition tension, cable length, limit and other signals to control the position and speed of cable receiving and releasing.

关键词： Winches Oceans Monitoring Geology

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A cloud-based Cyber-Physical System for environmental monitoring

A cloud-based Cyber-Physical System for environmental monito...

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Mediterranean Conference on Embedded computing (MECO)

作者： Teodora Sanislav George Mois Silviu Folea Liviu Miclea Giulio Gambardella Paolo Prinetto Faculty of Automation and Computer Science Technical University of Cluj-Napoca Cluj-Napoca Romania Dipartimento di Automatica e Informatica Politecnico di Torino Turin Italy

Cyber-Physical systems (CPSs) represent a new generation of digital systems, where cyber entities and physical devices cooperate towards a set of common goals. The research presented in this paper aims to contribute to the development of CPSs by proposing an open architecture applicable in environmental monitoring, consisting of three layers. The paper provides a detailed description of each one of the CPS's main components. The bottom layer, composed of wireless sensor nodes, allows the acquisition of data and their transfer to the upper layers. The top and middle layers, composed of a measurements database, a knowledge base, a multi-agent society and web services, assure the proper operation of the CPS based on decision rules and complex data analyses. The proposed architecture provides a high degree of flexibility and scalability.

关键词： Wireless sensor networks Computer architecture Environmental monitoring Web services ieee 802.11 Standards Wireless communication

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Application and Development of Shrimp Farming intelligent Monitoring System on Edge computing

Application and Development of Shrimp Farming Intelligent Mo...

引用

ieee International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH)

作者： Tien-Sheng Lin Ta-Jen Chu Yi-Jia Shih Jung-Kuei Yang Jun Wan Xu-Yin Lin Quanzhou University of Information Engineering Fengze District Quanzhou Fujian China Fisheries College of Jimei University Jimei District Xiamen Fujian China School of Information Science and Technology Huizhou University Huicheng District Huizhou Guangdong China Xiamen Ocean Vocational college Xiangen District Xiamen Fujian China

ISBN: (纸本)9781665405317

Convolutional neural network (CNN) and machine deep learning are used to analyze the required static parameters of the growth environment of shrimp farming. Using the parameters, the intelligent monitoring system analyzes the needs of different shrimp larvae with different growth environments. Image recognition technology and the collection of sensor data are used to control various dynamic parameters, such as feeding, growth, movement, and accident warning. The edge computing of the proposed system can improve the efficiency of shrimp farming production and avoid accidental injuries caused by emergency accidents.

关键词： Deep learning Image recognition Conferences Production Hydraulic systems Convolutional neural networks Monitoring

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Phasor Based Zero Crossing Detection of the Mains Fundamental

Phasor Based Zero Crossing Detection of the Mains Fundamenta...

引用

International Colloquium on Smart Grid Metrology (SmaGriMet)

作者： Christoph NieB Jan-Philipp Kitzig Gerd Bumiller Institute of Computer Science Institute of Energy Systems and Energy Management Hochschule Ruhr West University of Applied Sciences Bottrop Germany

The following topics are dealt with: calibration; frequency measurement; phasor measurement; power transmission lines; power engineering computing; power grids; discrete Fourier transforms; wavelet transforms; synchro... 详细信息

ISBN: (数字)9789531842655

ISBN: (纸本)9781728165950

关键词： Time-frequency analysis Frequency measurement Discrete Fourier transforms Kernel OFDM Voltage measurement Distortion measurement

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Research on intelligent Ventilation System Based on Digital Twins

Research on Intelligent Ventilation System Based on Digital ...

引用

Applied Intelligence and computing (AIC), ieee World Conference on

作者： Wei Zeng Taiyuan University of Technology Taiyuan China

ISBN: (数字)9798350384598

ISBN: (纸本)9798350384604

Ventilation system is one of the important guarantees of mine safety production. Traditional ventilation system management mainly relies on manual experience and regular maintenance, which has the problems of low management efficiency, high maintenance cost and high safety risk. An intelligent ventilation system based on digital twin is proposed in this paper, which includes intelligent perception module, data processing module, digital twin module, intelligent decision-making module and emergency control module. The intelligent sensing module is used for data sensing and dynamic monitoring. the data processing module is used for carrying out centralized processing on the sensing data of the mine ventilation system. the digital twin module is used for constructing a three-dimensional simulation model of the ventilation system. the intelligent decision module is used for carrying out expert decision on a ventilation control scheme. The emergency control module is used for monitoring mine disaster information and formulating emergency control measures. In this paper, the digital twin model and data-driven of mine ventilation system are constructed. According to the optimized intelligent control scheme, the reliability of intelligent control of mine ventilation system using digital twin technology is effectively improved.

关键词： Solid modeling Production Ventilation data processing Real-time systems Digital twins Sensors Maintenance Monitoring intelligent control

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Design and development of digital PID controller for DC motor drive system using embedded platform for mobile robot

Design and development of digital PID controller for DC moto...

引用

ieee International Advance computing Conference, IACC

作者： Chandra Shekhar Gohiya S.S. Sadistap S.A. Akbar B.A. Botre School of Electronics Devi Ahilya University Indore India Central Electronics Engineering Research Institute Council of Scientific and Industrial Research Pilani India

ISBN: (纸本)9781467345279

In Agriculture industry, plants are prone to diseases caused by pathogens and environment conditions and it is a prime cause to lose of revenue. It requires continuous monitoring of plants and environment parameters to overcome this problem. A mobile Robotic system for monitoring these parameters using wireless network has been envisaged here and developed based on ARM-Linux platform. Robotic platform consists of ARM9 based S3C2440 processor from SAMSUNG and Linux Kernel , Motor driver, robot mechanical assembly. The farm environment and plant condition such as temperature, humidity soil moisture content etc. are continuously monitored through suitable data acquisition system incorporated in the robotic system. A servo motor based robotic arm is designed for collecting soil sample and test various soil parameters. A closed loop feedback algorithm based on Digital PID controller has been developed for precise position and speed control of mobile robot. The wireless control of mobile robot and monitored data acquisition is accomplished using zigbee wireless protocol. For displaying acquired data on host system a Graphical user interface is designed using qt creater framework. For independent functioning of mobile robot, application program is written in c language and cross compiled using arm-linux-gcc compiler on Ubuntu 10.04 platform and ported on the memory of ARM processor.

关键词： DC motors Mobile robots Robot sensing systems Mathematical model Microcontrollers Transfer functions

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Scalable Big data Analysis and Processing Technology for intelligent Traffic Control

Scalable Big Data Analysis and Processing Technology for Int...

引用

Applied Intelligence and computing (AIC), ieee World Conference on

作者： Yu Zheng School of Rail Transit Chongqing Vocational College of Transportation Chongqing China

ISBN: (数字)9798350384598

ISBN: (纸本)9798350384604

The improvement of people's living standards, every family has a private car, and large trucks used in industry are the reason for the continuous increase in the traffic flow, and traffic congestion has become an increasingly serious problem. When traffic congestion becomes an urgent problem that restricts the development of the city, intelligent traffic control becomes a technology that can improve traffic efficiency and traffic safety. When we look at the traffic system from the perspective of big data, we will find that the data involved in the intelligent transportation system is very large, and the traditional method of data analysis and processing is no longer applicable. This research conducts in-depth research on the various data sources involved in the intelligent transportation system, and analyzes the features and scale of these data sources. A distributed computing based scalable big data analysis framework is proposed in order to solve the problem of big data analysis and processing. The framework employs parallel computing and distributed storage technology to process large-scale data efficiently, and to obtain real-time analysis results. The scalability of the proposed scalable big data analysis framework and the data preprocessing methods was verified by experimental evaluation, and the performance was highlighted. The research results show that the big data analysis technology can process and analyze big data generated in ITS, and provide important decision support for intelligent transportation control based on the true results of the analysis.

关键词： data analysis Accuracy Soft sensors Scalability Process control Transportation Big data Traffic control Real-time systems Traffic congestion

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Application of preconditioned Generalized radial Basis Function Network to prediction of photovoltaic power generation

Application of preconditioned Generalized radial Basis Funct...

引用

ieee PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： H. Mori M. Takahashi Department of Electronics and Bioinformatics Meiji University Tama Kawasaki Japan

In this paper, an efficient method is proposed for short-time generation output prediction of PV systems. The prediction of time-series of PV generation output is too complicated to handle. The proposed method focuses on the improvement of the prediction model accuracy with a hybrid intelligent system. It consists of the precondition of input data and the predictor of multi-step ahead PV generation output. The former deals with clustering of input data to improve the performance of the predictor. It is very useful to classify data into some clusters and construct the prediction model at each cluster so that the prediction is improved due to the data similarity in the cluster. As the clustering method, DA (Deterministic Annealing) Clustering of global clustering is used due to the good performance. On the other hand, the latter makes use of an advanced GRBFN (Generalized Radial Basis Function Network) of ANN (Artificial Neural Network) as the predictor. As a result, the proposed method provides better results than the conventional ones. The effectiveness of the proposed method is demonstrated to real data of short time prediction of PV systems.

关键词： Cost function Predictive models data models Time series analysis Clustering algorithms Standards Vectors

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A configurable framework for the education of digital electronic control systems

A configurable framework for the education of digital electr...

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ieee International Conference on E-Learning in Industrial Electronics, ICELIE

作者： Lucía Costas José Fariña Juan J. Rodríguez-Andina Department of Electronic Technology University of Vigo Spain

ISBN: (纸本)9780769546537;9781424446544;9781424446537

This paper proposes an integrated approach for the education of all issues related to the digital part of an industrial electronic control system. It is based on the use of a common framework for all related courses, from basic digital design to microprocessors and System-on-Chip design. The framework can be adapted to the capabilities of different profiles, i.e., students enrolled in different courses. It allows non-experienced students to become acquainted with the fundamentals of digital electronics, and advanced students to demonstrate the design skills they have learnt, through the development and validation of microprocessor-based control loops. For these purposes, advantage is taken of the many features and resources currently provided by field programmable gate arrays. The advantages of the proposed approach are demonstrated through application examples.

关键词： Digital control Control systems Industrial electronics Field programmable gate arrays Microprocessors Communication system control Microcontrollers System-on-a-chip data acquisition Actuators

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