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IEEE International Conference on Communications in China (ICCC)

作者： Chen Chen Zheng Wang Qingqi Pei Ci He Zhibin Dou State Key Laboratory of Integrated Services Networks Xidian University Xi'an P.R.China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing China The Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education Shanghai China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China

ISBN: (数字)9781728173276

ISBN: (纸本)9781728173283

In this paper, we first take the moving vehicles as a RP (resource pool), by which we proposed a distributed computation offloading scheme to fully utilize the available resources and reduce task execution time in I0V (Internet of Vehicles). After that, we divide a complex task into many sub-tasks and indicate that how to assign these small tasks to satisfy the task execution time in RP is a NP problem. The executing time of a task is modeled as the longest calculation time among all small tasks, which is actually a min-max problem. For a dynamically vehicular environment, a distributed computing offloading strategy based on deep reinforcement learning is proposed to find the best offloading scheme to minimize the execution time of a task. Numerical results demonstrate that our scheme is better than Partial Flooding Algorithm and can make full use of the available computing resources of surrounding vehicles by considering the mobility of vehicles, the delay of communication transmission, and the separability of the tasks, thus greatly reducing the execution time of the computing tasks.

关键词： Computational modeling Simulation Reinforcement learning User experience Delays Internet Task analysis

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Engineering-oriented simulation platform for laminar cooling process of hot rolled strips

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International Journal of Simulation and Process Modelling 2015年第4期10卷 327-333页

作者： Pian, Jinxiang Wang, Zhen Zhu, Yunlong Chai, Tianyou Li, Jiejia Faculty of Information and Control Engineering Shenyang Jianzhu University 9 Hunnan East Road Hunnan New District Shenyang Liaoning110168 China Key Laboratory of Networked Control System CAS Chinese Academy of Sciences No. 114 Nanta Street Shenhe District Shenyang Liaoning110016 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University No. 3-11 Wenhua Road Heping District Shenyang Liaoning110819 China

Because the new approach cannot be applied directly in the hot-rolled strip laminar cooling process, a simulation is necessary to verify the new approach effectively which can improve the strip quality and production yields. In order to make sure simulation platform is similar to the practical industrial process as much as possible, we proposed an engineering-oriented distributed simulation platform for laminar cooling process, integrating part of physical equipment (such as PLC). Additionally, there is physical signals exchange among the controller and virtual sensors in the platform. The simulation platform consists of four parts, including virtual object, virtual instruments and actuators, loop controller and process monitoring computer, and setting controller. The virtual object reflects the actual input and output characteristics of laminar cooling process. Virtual instruments and actuators can simulate the field instruments and actuators. Loop controller and process monitoring show the device operating conditions, the control performance, and give alarm signals in time. Setting controller performs setting control procedures. The experimental results indicate that simulation platform has powerful ability to evaluate the new approach in light of the engineering, which can reduce the live-fire testing cost and meet the requirements of repeated trials. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： controllers

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Mixed time synchronization method for industrial Wireless control Networks

Mixed time synchronization method for industrial Wireless Co...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Zhaowei Wang Peng Zeng Meng Zheng Dong Li Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Liaoning CN

Time synchronization plays an important role in Industrial Wireless control Networks (IWCNs). To meet the demand for IWCNs, this paper presents a novel mixed time synchronization method, which combines the characteristics of the centralized time synchronization methods and the distributed time synchronization methods. The method could synchronize the network nodes to a given time source. And the models of logical clock and hardware clock have been built. At first, according to the maximum consensus theory, it realizes the synchronization of the logical time between the neighbor nodes. Then based on the revised information of logical clock, which is from the source node, ordinary nodes achieve synchronization with the hardware time of the source node. Simulation results show that the proposed method yields a faster convergence rate and higher synchronization precision in comparison to existing works.

关键词： Synchronization Hardware Clocks Convergence Wireless communication Wireless sensor networks Accuracy

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Joint Beam Guardrail Detection and Tracking by Lidar for Real-Time Applications

Joint Beam Guardrail Detection and Tracking by Lidar for Rea...

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Chinese Automation Congress (CAC)

作者： Hao Zhu Fangrong Chen Bin Guo Automotive Electronics and Embedded System Engineering Research Center Chongqing University of Posts and Telecommunications Chongqing China Automotive Electronics and Embedded System Engineering Research Center and Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education College of Automation Chongqing University of Posts and Telecommunications Chongqing P. R. China

This paper presents a robust and real-time guardrail detection and tracking algorithm, based on the three-dimensional information obtained from lidar sensor. Height feature and corner feature are used to extract guardrail feature points out in guardrail detection process, while a cluster method is used to filter the useless guardrail points. Furthermore, an adaptive region of interest (AROI) is proposed to improve the efficiency and accuracy of the detection algorithm. To determine the boundary of AROI, an improved Kalman filter algorithm is proposed to track the feature point set on both sides of the road at the same time in each frame. The whole system works in real-time and achieves detection accuracy above 96% on a test database.

关键词： Feature extraction Laser radar Clustering algorithms Radar tracking Roads Prediction algorithms Real-time systems

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Parameter optimization of hydro turbine governor PID controller by chaotic improved PSO algorithm

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Energy Education Science and Technology Part A: Energy Science and Research 2014年第5期32卷 3949-3962页

作者： Chen, Gonggui Du, Yangwei Song, Peizhu Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Wireless Network and Networked Control of Ministry of Education Chongqing China Chongqing University of Posts and Telecommunications Research Center on Complex Power System Analysis and Control Chongqing China Hubei Minzu University Dept. of Electrical Engineering Enshi China Hubei Energy Group Qiyueshan Wind Power Co Ltd Lichuan China

For overcoming the disadvantages of easily falling into local extremum and easily losing species diversity in traditional particle swarm optimization (PSO) algorithm, a cross improved PSO (IPSO) algorithm is proposed. In addition, in order to enhance the exploitation capacity of IPSO algorithm, it also makes use of chaotic sequence features which is called chaotic IPSO (CIPSO) algorithm. In present paper, mathematical structure model of hydro turbine governor is established, and the integral of absolute value of error as the minimum objective function is adopted to select particles. In order to obtain satisfactory transient dynamic characteristics in process of tuning of PID parameters, the square of output signal after PID tuning and the rise time are proposed to integrate into the augmented objective function, and in order to minimize overshoot to the greatest extent, the penalty mechanism is concerned. These algorithms are performed for optimized designs of governor PID parameters on hydro turbine. Several specific working conditions are modeled and CIPSO algorithm results are compared with those in PSO and IPSO algorithms. It comes out that the CIPSO algorithm has made some improvements whether in convergent speed or convergent accuracy in comparing with other two algorithms. © Sila Science. All rights reserved.

关键词： Governors

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Research on the corrosive effect of inactive sulfur on oil-paper insulation

Research on the corrosive effect of inactive sulfur on oil-p...

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International Conference on High Voltage Engineering and Application, ICHVE

作者： Sihang Gao Jiajun Li Tingjing Ke Yang Liu Dong Ding Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China State Grid Chongqing Electric Power Company Chongqing Chongqing China Baoding Electric Power Corporation Baoding China State Key Laboratory of Transmission & Distribution Equipment and Power System Safety and New technology Chongqing University Chongqing China

ISBN: (数字)9781728155111

ISBN: (纸本)9781728155128

Sulfur corrosion induced by active sulfur has been proved to significantly decrease the insulation performance of oil-immersed equipment. In order to protect the oil-paper insulation from sulfur corrosion, active sulfur is cleared in the refining process of crude oil. Some inactive sulfur with high-efficiency antioxidant is still retained in the mineral oil to improve the oxidation stability of oil, such as thiophenic compounds. However, the corrosive effect of inactive sulfur on the oil-paper insulation has not yet clear. Therefore, thiophene that is the largest content of sulfide in the insulating oil was selected as the research object, a series of accelerated thermal ageing experiments of oil-paper without and with thiophene under the different high temperature were conducted, scanning electron microscope equipped with an energy-dispersive X-ray spectrometer (SEM/EDX) and inductively coupled plasma atomic emission spectrometry (ICP-AES) were used to characterize the corrosion degree of oil-paper insulation. The results show that no corrosive deposit was observed on the surface of oilpaper insulation without thiophene even at very high temperature, while a few corrosive deposit was accumulated on the surface of oil-paper insulation with 500 mg/kg thiophene. The corrosion degree of oil-paper insulation with thiophene had an uptrend as the increase of temperature (130°C-180°C), preliminarily indicating that thiophene may be activated in the oil-paper system under the action of overheating fault of oil-immersed transformer and posed a corrosion threat to oil-paper insulation.

关键词： Copper Sulfur Corrosion Oils Windings Power transformer insulation Oil insulation

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Natural Gas Load Forecasting Based on Multi-Stage Model Identification

Natural Gas Load Forecasting Based on Multi-Stage Model Iden...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Pengbin Zhang Hongrui Wang Kunpeng Xing Mingzhe Yuan State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China GUANGZHOU INSTITUTE OF INDUSTRIAL INTELLIGENCE Guangzhou China China Nuclear Power Engineering Co. Ltd. Shenzhen China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

Natural gas load forecasting is crucial for the safe operation of urban natural gas. Based on the system identification method, the short-term natural gas load forecasting is studied in the paper. Employing a multi-stage identification framework, the initial values of the model parameters using the least squares and the instrumental variables method, while the model parameters are further optimized by the prediction error method to improve the accuracy of the model identification. The proposed method is validated by the simulation based on the public natural gas data in the U.S., demonstrating the algorithm's effectiveness in forecasting the daily natural gas load effectively.

关键词： Load forecasting Simulation Load shedding Predictive models Prediction algorithms system identification Reliability Forecasting Natural gas Load modeling

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Influence of the pyrolysis of benzotriazole passivator on the characteristics of dissolved gas in the insulating oil

Influence of the pyrolysis of benzotriazole passivator on th...

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International Conference on High Voltage Engineering and Application, ICHVE

ISBN: (数字)9781728155111

ISBN: (纸本)9781728155128

Insulation failures of oil-immersed power transformer induced by sulfur corrosion can be controlled by adding the metal passivator into insulating oil. However, it has been reported that the addition of benzotriazole and its derivative passivators into insulating oil would cause abnormal generation of dissolved gases in the oil during the operation of oil-immersed transformer. Therefore, this paper investigated on the effect of passivator on the characteristics of dissolved gas in the oil under the action of thermal field. Benzotriazole (BTA) that widely used in the oil-immersed transformer was selected as the research object, the thermogravimetric analysis of BTA was conducted, and a series of accelerate thermal ageing experiments of oil-paper insulation with and without BTA were also conducted, the composition and content of dissolved gases in oil were measured and analyzed. The results show that BTA was pyrolyzed continuously as the temperature increase. The addition of BTA in oil accelerated the contents of H2, CO and CO2 and decelerated the content of hydrocarbon gases, which lead to abnormal generation of dissolved gases in oil. All of these may interfere the operation condition evaluation of oil-immersed transformer based on DGA technology.

关键词： Oils Gases Aging Power transformer insulation Oil insulation Thermal conductivity Partial discharges

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An Improved Chimp Optimization Algorithm for Short-term Hydrothermal Scheduling

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2022年第3期49卷 666页

作者： Chen, Gonggui Wang, Shumin He, Yongsheng Shang, Wanfeng Long, Hongyu Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing University of Posts and Telecommunications Chongqing400065 China State Grid Chongqing Electric Power Company Chongqing400015 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Shenzhen518055 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China

The short-term hydrothermal scheduling (STHS) is a complex non-linear, non-convex and high-dimensional mathematical optimization problem. Due to the fact that the original chimp optimization algorithm (ChOA) is likely to fall into local optimum and has the disadvantage of low population diversity, an improved chimp optimization algorithm (IChOA) is proposed to solve the STHS problem. Firstly, Logistic-Tent chaotic mapping is employed to initialize the population and increase the population diversity. Then a new nonlinear convergence factor is introduced to make the optimization search process more applicable to STHS problems. Next, particle swarm algorithm (PSO) and gravitational search algorithm (GSA) are combined to enhance the shortcoming and balance the global search ability and local exploration ability of ChOA. Moreover, Cauchy mutation and opposition-based learning strategy are supplemented as perturbation interference when the optimal position is not updated to improve the ability to leap out of the local optimum. Finally, a graded optimization strategy is adopted for the constraint handing of dynamic reservoir balance and thermal power balance. Three standard hydrothermal power systems are utilized to verify the practicability and validity of the proposed method. Results of simulations reveal that IChOA has significant competitive advantages in addressing the STHS problem. © 2022, IAENG International Journal of Computer Science. All Rights Reserved.

关键词： Particle swarm optimization (PSO)

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Encoding Space to Count Multi-Targets with Multiplexed Binary Infrared Sensors

Encoding Space to Count Multi-Targets with Multiplexed Binar...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Longxiang Luo Yang Xiao Wei Liang Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Department of Computer Science The University of Alabama Tuscaloosa AL USA

ISBN: (数字)9781728152127

ISBN: (纸本)9781728152134

Recently, many researchers multiplex binary infrared sensors in object tracking, habitat monitoring, and atypical behavior detection. Due to the binary digit output of binary sensors, multiplex binary sensors may lead to count the wrong number of targets when three or more targets present in the field of interest (FOI). We call this as the invisible targets' problem. To enhance the sensing results of sensors, a reference structure tomography technique is used to segment and code the FOI by modulating the sensing view of sensors. In this paper, we propose a subregion coding method to count targets moving in the FOI. Hexagon modulators are designed to make their projections segment the FOI into hexagon cells. We also propose a signature construct scheme to code cells and a encoder to count the number of targets in the FOI. Experiment results show that the accuracy to correctly count targets of our method is around 90% which is much better than 45% of a conventional method.

关键词： Modulation Monitoring Shape Sensor systems Encoding Intelligent sensors

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