bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Power Grid Automation System Architecture Based on Distributed Scheduling
Authors: Zheng Xiangyu 
Published: December 2021

Abstract
As the core content of urban power dispatching operation in the new era, power grid automation can ensure the safety and stability of urban power consumption on the basis of reducing resource consumption. Using the distributed scheduling method in the system can not only improve the quality of power transmission, but also improve the speed of system operation. Therefore, on the basis of understanding the distributed task scheduling method, this paper analyzes the independent task dynamic optimization level scheduling algorithm based on MPSoC, and carries on the in-depth understanding of the practical application effect, so as to prove the positive role of distributed scheduling in the application of power grid automation system.
Vibration Analysis of Civil Engineering Structure Based on Fuzzy Control Algorithm
Authors: Hua Qianqian 
Published: December 2021

Abstract
In the continuous development of China’s industrialization process, urban industrial land is more and more tight, the distance between planning roads or rail transit and buildings is getting closer and closer, and the vibration propagation caused by the load of the ground or underground rail transit is easy to cause the surrounding buildings to vibrate, so as to affect the normal life of urban residents. Therefore, during the design and construction of modern building engineering, in order to fully understand the impact of traffic load on the structure of building vibration, it is necessary to use effective methods to predict the vibration phenomenon caused by various reasons, and thus to conduct in-depth discussion on the overall structure design. On the basis of understanding the traditional vibration analysis method, this paper uses the fuzzy control algorithm to study the influence of single source or compound source fuzzy number on the structure vibration, and carries on the empirical analysis accordingly.
Research and Design on the Coordinate Control System of Once-through Boiler Power Unit
Authors: Qin Zhiming , Cui Hongwei 
Published: December 2021

Abstract
Taking the 1000 MW ultra supercritical unit as an object of study, The nonlinear model is builded through mechanism analysis, which is linearized based on small error, the multi-variable decoupling controller is designed to achieve full decoupling of the input and output variables, and finally the three-input-three-output coordinated control system (CCS) is established. The control system is verified by coal quality and the specific enthalpy of feed water disturbance when load changing, the simulation result shows that the improved CCS has good control performance.
Design and Research of High Precision Dynamic Torque Measurement System
Authors: Su Yang , Cheng Lei , Wang Lifang 
Published: December 2021

Abstract
In this paper, through the FPGA technology and torque measurement system design method for analysis and research, through the use of photoelectric coding circurling measurement function and the difference between the multi-channel code disk torque measurement. In this paper, the characteristics and state of the output signal of the multi-channel code tray are classified, and the principle of torque measurement is analyzed and studied. In this paper, the logic control, data statistics, latch and other contents involved in hardware FPGA technology are analyzed and studied, so as to effectively simplify the system circuit. When the counting data, status signal and other contents are uploaded to the master computer for processing, it is convenient to monitor the vibration of torque signal in real time. By using the upper computer part of the virtual instrument to receive the relevant data of the microcontroller, so as to store, call and process the data, it not only improves the intelligence of the system, but also reduces the use cost of hardware resources.
Analysis of Total Hydrocarbon Exceeding Standard in Oil Chromatogram of a 500kV Main Transformer
Authors: Wang Linan , Ma Yunfei , Han Jinhua , Zheng Yusheng , Zhang Xiaopeng , Guo Xiaofeng , Zheng Hanbo , Shao Guangqi 
Published: December 2021

Abstract
Oil chromatographic analysis is widely used in transformer fault diagnosis However, the problem of excessive total hydrocarbons in the oil chromatogram caused by the failure of the transformer submersible pump is different from the failure of the transformer body. Technicians need to be able to accurately identify these two types of failure. For this problem, this article proposes a method of judging by manually starting and stopping the submersible pump and monitoring the change law of the transformer chromatographic data. This article first finds out suspicious submersible pumps through current data. Subsequently, the operator starts and stops the submersible pump and monitors the change law of the transformer chromatographic data. From this, the correlation between the start or stop of the submersible pump and the chromatographic data was found. Finally, the effectiveness of this method is verified by the submersible pump disassembly inspection and simulated live test.
Substation Secondary Cable Path Optimization Design Based on 3D Simulation and Improved Dijkstra Algorithm
Authors: Li Shengqing , Zhang Yi , Ling Zhiyong , Zhang Xiaobing 
Published: December 2021

Abstract
In order to accurately predict the length of secondary cable laying in substation construction project and avoid the problem of resource waste in engineering construction, a secondary cable path optimization model based on 3D simulation and Dijkstra algorithm was established. Firstly, through the application of Bentley software, the three-dimensional model of substation is established, and the workflow of BRCM cable laying software is introduced. Secondly, the common and the improved Dijkstra algorithm are used to carry out the path planning on the raster map respectively, and the experimental simulation is carried out. Finally, the simulation results show that the path length of the improved algorithm is 24.32% and 28.66% less than that of the traditional Dijkstra. It is 12.34% less than that of the ant colony algorithm, which provides some useful theoretical references for the secondary cable laying in the future substations.
A Photo-Voltaic Invert-er Cluster Resonance Suppression Method Based on Capacitor Voltage Feed-Forward
Authors: Li Shengqing , Yao Xin , Peng Ziran , Shen Zhichao 
Published: December 2021

Abstract
Photo-voltaic inverts usually use LCL filter for filtering, and LCL filter will bring resonance problems to the system. This paper focuses on invert-er side current feedback control (invert-er side current feedback, ICF). This paper proposes a method for suppressing resonance of photo-voltaic invert-er clusters based on capacitor voltage feed-forward. First, establish the ICF mathematical model based on HPF and CVF under the weak grid, qualitatively analyze the resonance mechanism of the cluster invert-er, then analyze the system control structure and stability according to the proposed method, and finally verify the effectiveness of the proposed method through simulation and experiment sexuality and correctness.
Control Strategy of Photovoltaic Grid Connected System Based on PI and QPR Double Closed Loop Control
Authors: Li Shengqing , Deng Na , Zheng Jian , Yu Jiaxing 
Published: December 2021

Abstract
The traditional proportional integral (PI) controller in photovoltaic three-phase inverter system has the problems of no static error tracking and poor resonance suppression effect. In order to improve the resonance suppression effect and current control effect of photovoltaic three-phase inverter system, a control strategy of photovoltaic three-phase inverter system based on PI and quasi proportional resonance (QPR) double closed-loop control is proposed. The control strategy and control block diagram based on PI and QPR double closed-loop control are designed to realize no static error tracking of incoming current, which has better waveform of incoming current and resonance suppression effect, and improves system stability. Finally, the effectiveness of the control strategy are verified by simulation.
Subway Traction Power Supply System Based on PWM Rectifier
Authors: Liu Xudong 
Published: December 2021

Abstract
At present, PWM rectifier is widely used in various high power and high voltage situations because of its high energy, low harmonic content, constant voltage and bidirectional energy. The energy supply system of subway traction power supply system based on PWM rectifier shows the topology of a dual transformer with three winding transformers and four PWM rectifiers in parallel, which is superior to the modular model. Finally, the correctness of the control strategy is verified by Matlab/Initial simulation.
Experimental Study on Voltage Sag Tolerance of LED Electronic Display
Authors: Song Yidan , Guan Shangshu , Yao Haijiang , Tao Shun 
Published: December 2021

Abstract
Widely used LED electronic displays have high requirements for power quality. Because of the status quo of LED technology update and the lack of related experimental work, this paper first analyzes the hardware composition of LED electronic display and switching power supply module. In addition, the paper points out that the transient tolerance of LED screens is mainly determined by switching power supply modules. Then, a test platform was built, and a certain type of LED screen was selected to investigate the influence of voltage temporary drop value and duration, phase jump, and initial Angle of temporary drop on the tolerance of LED electronic display. It provides data support for evaluating and managing the effects of voltage sags on LED electronic displays and the design of power supply schemes.
Comparative Study on Characteristics of Partial Discharge Optical Pulse and UHF Pulse in Switch Equipment
Authors: Chen Ping , Miao Jin , Gu Yin , Huang Fen , Zhou Xinyang , Leng Zhaoyun , Wan Jiefeng , Li Chen 
Published: December 2021

Abstract
The article explores the performance of the new silicon photoelectric sensor in partial discharge detection, and compares the measured optical pulse with the traditional UHF pulse. Through optical and electrical synchronous partial discharge experiments, the article analyzes and discusses the detection performance, working characteristics and statistical characteristics of various sensors, and explores the advantages and feasibility of silicon photoelectric partial discharge sensors in actual discharge monitoring; In addition, the statistical performance of the two physical phenomena of partial light radiation and electromagnetic radiation was obtained through the analysis of optical and electrical synchronous monitoring data. Compared with UHF sensor, silicon photoelectric sensor under the optimal working voltage has a higher signal-to-noise ratio (SNR); Under the electromagnetic interference of the high-frequency motor, silicon photoelectric sensor exhibits better anti-electromagnetic interference ability; Discharge phase interval and characteristics reflected by the PRPD obtained by two detection methods maintain good consistency; Pulse repetition rate has the same trend with applied voltage, but statistical frequency of optical pulses obtained is higher than that of electromagnetic pulses because silicon photoelectric sensor has a higher SNR and single-photon sensitivity.
Control Strategy Research of Based on Resonance Feedforward and Current Estimate of the Photovoltaic Grid Inverter
Authors: Li Shengqing , Jiang Yu , Luo Zhaoxu 
Published: December 2021

Abstract
Due to poor quality of grid-connected current and large impedance value of grid are caused in weak grid environment. Therefore, a control strategy combining multiple resonant feedforward and current estimation method is adopted in this paper. Firstly, in order to make the positive feedback channel have the feedback effect only at the main background harmonics, the low-order harmonics of the grid are extracted by using the method of multi-resonance feedforward control. At the same time, under the premise that the suppression effect of LCL natural resonant frequency remains unchanged, the current estimation method is added into the control strategy, so as to reduce the system cost. Finally, the simulation results show that thus verifying the correctness and effectiveness of the control strategy.
Intelligent Fault Diagnosis of Photoelectric Pod Bearing Based on Multi-information Fusion
Authors: Wang Chaoyu , Liu Zhi , Wang Yakun 
Published: December 2021

Abstract
Intelligent fault diagnosis technology has become the focus of research in various fields. Its realization depends on the acquisition of equipment state by sensors. Because the fault information provided by a single sensor has limitations and cannot fully reflect the fault state of the tested object, we need to use multiple sensors to collect and fuse the fault information of rolling bearings to ensure the accuracy and accuracy of intelligent fault diagnosis. Based on this, this paper analyzes the application of fuzzy rules of multi-sensor information fusion technology in the fault diagnosis of bearings in the optoelectronic pod, so as to provide a reference for the realization of intelligent fault diagnosis of each structure in the optoelectronic pod.
A Review of Routing Algorithms Based on Multi-Layer Satellite Networks
Authors: Zhang Xialu , Hu Xiaoxi , Xie Tianjiao 
Published: December 2021

Abstract
Compared with single layer satellite network, satellite distribution of multi-layer satellite networks in the double layer or multilayer orbital plane, combines all the advantages of engaging subjects of the satellite, therefore contains its low vulnerability, good robustness, high stability, high spectrum efficiency and system throughput, channel characteristics such as large capacity, in the satellite network is a very promising direction. Multilayer satellite network also has some inevitable disadvantages, that is, the number of nodes and the number of links is large, so it has the characteristics of frequent changes in network topology, which requires higher routing algorithm. There are many researches on routing algorithms based on multi-layer satellite networks at home and abroad. This paper introduces the general situation of multi-layer satellite network, classifies the existing routing algorithms of multi-layer satellite network according to different standards, analyzes several typical routing algorithms in detail, points out the advantages and disadvantages, and summarizes the future development trend.
RETRACTED: Research on the Communication Transformation and Its Risk Prevention Method in the Background of Big Data
Authors: Zhu Haoyang 
Published: December 2021

Abstract
The communication based on big data technology is an organized communication form built with data and algorithms as the core, which has a very serious risk of liquefaction in the practical development. Therefore, based on the understanding of the transformation of communication ontology and the uncertainty of the subject under the background of big data technology, this paper studies and analyzes the risk prevention countermeasures based on streaming big data analysis according to the alienated risks it presents.
Research on Reactive Power Optimization of Power System Based on Improved Particle Swarm Algorith
Authors: Li Kang , Gao Guige 
Published: December 2021

Abstract
Artificial intelligence algorithms are widely used to optimize problems in power systems, and reactive power optimization in power systems has achieved good results in particle swarm optimization, but there are also problems. This paper optimizes the particle swarm algorithm. The particle swarm algorithm is improved mainly by increasing the inertia weight and improving the convergence parameters. This algorithm overcomes the blindness of local optimization solution and particle swarm algorithm, and improves the calculation speed. At the same time, MATLAB is used to compile the calculation program, and the simulation results are used to verify the feasibility of the reactive power optimization algorithm used in the research of power system.
Design of Robot Vision Servo Control System Based on Image
Authors: Xing Guansheng , Meng Weichuan 
Published: December 2021

Abstract
Visual servo is a closed-loop control system of robot, which takes the image information obtained by visual sensor as feedback. Generally speaking, visual servo plays an important role in robot control, which is one of the main research directions in the field of robot control and plays a decisive role in the development of intelligent robots. In order to make the robot competent for more complex tasks and work more intelligently, autonomously and reliably, it is necessary not only to improve the control system of the robot, but also to obtain more and better information about the working environment of the robot. This paper introduces the principle and basic realization method of robot visual servo based on image, and expounds the problems and solutions in image feature extraction and visual servo controller design. In order to further expand the application field of robots and improve the operation performance of robots, robots must have higher intelligence level and stronger adaptability to the environment, so as to manufacture intelligent robots that can replace human labor.
Intelligent Cabinet Lock Control System Based on Cloud Technology
Authors: Lin Lizong , Du Sunhui , Ouyang Baibing , Yan Mi 
Published: December 2021

Abstract
With the rapid development of wireless communication and Internet of things, intelligent products have been widely used in living and industrial places. The purpose of this paper is to develop an intelligent controller and intelligent lock cabinet for the monitoring of optical cable handover box. It can monitor the temperature, humidity, fire, flood, vibration and the identity of the personnel in and out of the optical cable box, and send the data information to the management server through wireless communication, so as to realize the purpose of monitoring and management of the optical cable box. The products under development include intelligent controllers, smart keys and electronic locks. The smart key is used in conjunction with the electronic lock.
Research on Visual Awareness Interface Design Based on Human-Computer Interaction Task
Authors: Wu Zhengxin , Jin Tao 
Published: December 2021

Abstract
By using the form and specific process of human-computer interaction to comprehensively understand and judge whether users can accurately and quickly recognize products, it has a positive effect on the current visual and perceptual interface design work. On the basis of understanding the achievements of current related scientific research projects, this paper analyzes how to construct and design a new visual and perceptual interface based on human-computer interaction tasks by studying the main factors that affect users’ cognition of visual information interface.
Research on the Construction of Big Data Classification System Based on Distributed Data Flow
Authors: Zhou Han 
Published: December 2021

Abstract
In the context of the comprehensive popularization of network technical services and database construction system, more and more data are used by enterprises or individuals. It is difficult for the existing technology to meet the technical analysis requirements of the development of the era of big data. Therefore, in the development of practice, we should continue to explore new technologies and methods to reasonably use big data. Therefore, on the basis of understanding the current big data technology and its system operation status, this paper designs relevant algorithms according to the big data classification model, and verifies the effectiveness of the analysis model algorithm based on practice.
Research on Decision Model of Emergency Material Distribution Based on Random Information
Authors: Liu Chen 
Published: December 2021

Abstract
As an important link of emergency logistics, emergency material distribution has been widely concerned and applied in the development of today’s society. From the consideration of the fairness and efficiency of material distribution, there is a kind of negative and negative relationship between them. As a lever, information updating can be used to solve the problems of fairness and efficiency in the distribution of emergency supplies. Based on fuzzy objective programming, the classification decision model of emergency materials is discussed in this paper.
Design, analysis, and validation of an orderly recruitment valve for bio-inspired fluidic artificial muscles
Authors: Vemula Dheeraj , Kim Jeong Yong , Mazzoleni Nicholas , Bryant Matthew 
Published: December 2021

Abstract
Biological musculature employs variable recruitment of muscle fibers from smaller to larger units as the load increases. This orderly recruitment strategy has certain physiological advantages like minimizing fatigue and providing finer motor control. Recently fluidic artificial muscles (FAM) are gaining popularity as actuators due to their increased efficiency by employing bio-inspired recruitment strategies such as active variable recruitment (AVR). AVR systems use a multi-valve system (MVS) configuration to selectively recruit individual FAMs depending on the load. However, when using an MVS configuration, an increase in the number of motor units in a bundle corresponds to an increase in the number of valves in the system. This introduces greater complexity and weight. The objective of this paper is to propose, analyze, and demonstrate an orderly recruitment valve (ORV) concept that enables orderly recruitment of multiple FAMs in the system using a single valve. A mathematical model of an ORV-controlled FAM bundle is presented and validated by experiments performed on a proof-of-concept ORV experiment. The modeling is extended to explore a case study of a 1-DOF robot arm system consisting of an electrohydraulic pressurization system, ORV, and a FAM-actuated rotating arm plant and its dynamics are simulated to further demonstrate the capabilities of an ORV-controlled closed-loop system. An orderly recruitment strategy was implemented through a model-based feed forward controller. To benchmark the performance of the ORV, a conventional MVS with equivalent dynamics and controller was also implemented. Trajectory tracking simulations on both the systems revealed lower tracking error for the ORV controlled system compared to the MVS controlled system due to the unique cross-flow effects present in the ORV. However, the MVS, due to its independent and multiple valve setup, proved to be more adaptable for performance. For example, modifications to the recruitment thresholds of the MVS demonstrated improvement in tracking error, albeit with a sacrifice in efficiency. In the ORV, tracking performance remained insensitive to any variation in recruitment threshold. The results show that compared to the MVS, the ORV offers a simpler and more compact valving architecture at the expense of moderate losses in control flexibility and performance.