bluuebunny/crossref_metadata_2025_split huggingface dataset:
Talking about the Management and Analysis of Intelligent Wiring in Data Center
Authors: Deng Zhidong , Sun Lintan , Zhang Yue , Tang Zhenying , Liu Hongwei 
Published: October 2020

Abstract
For the application scenario of data center, the wiring management problem of data center equipment room is effectively solved through four purposes: visual wiring operation display, intelligent wiring selection construction scheme, automatic calculation of jumper length, and topology deduction of wiring link integrity. Eliminate the traditional operation and maintenance excel wiring ledger management method, eliminate the management pain points such as complicated wiring management, huge number of wiring, and inconsistent wiring ledger. In a visual way, make the wiring management intelligent, regular and efficient in a visual way. Select the start port and end port of the wiring, intelligently calculate all the connection paths of the wiring, and intelligently select the best wiring path for operation and maintenance personnel for reference. At present, the calculation method of the best path is the minimum number of device nodes. The jumper length of the route selected by the user is calculated automatically, and the wiring distance is calculated to facilitate the operation and maintenance personnel to select the suitable wiring length for construction. Support operation and maintenance personnel to quickly import construction information to generate construction orders. The intelligent wiring module supports the display and topology deduction verification of the global wiring in the equipment room, so as to check the integrity of the connection information of the upstream and downstream physical wiring of the current equipment in the form of topology, and supports the functions of hiding the distribution frame, changing the topology shape and saving. It makes the operation and maintenance personnel’s management of wiring in the equipment room simple and intuitive. The human-computer interaction mode can visually check the status of the equipment port occupation and all the device relationship sets passed by the entire wiring link.
Analysis of Stirling Engine Structure and Assembly Technology by Virtual Reality Technology
Authors: Wang Zhikun , Yang Xusheng , Gao Linlin 
Published: October 2020

Abstract
Virtual reality technology is a simulation technology that makes the display world more realistic with the help of computer technology. It is one of the hotspots of research and application in recent years, and its application field is very wide. Under this background, this paper introduces the concept and characteristics of virtual reality technology, and analyzes the structure and assembly process of Stirling engine by using three-dimensional parametric modeling software Unigraphics and virtual reality editor software VRP Bulider.
Design and Research of Sorting Device for Change Back Meter
Authors: Liu Ying , Peng Xinxia , Li Liang , Lu Guanna , Zhang Wei , Wang Huinan 
Published: October 2020

Abstract
Design and research a sorting device for dismantling electric energy meter. The gripping mechanism of the gripping electric energy meter is designed. By moving and rotating, multiple electric energy meters can be caught to different positions, and the sorting efficiency is improved. Set up a second line body to provide multiple blanking positions for placing different fault types to solve the problem of single sorting position. The lifting mechanism and the supporting plate are set, and the lifting and lowering mechanism of the lifting mechanism is controlled by the control system, so that the electric energy meters are equidistantly classified, the beat of the unloading is controlled, and the unloading requirements of the unloading robot are met.
Correlation Analysis and Forecast of Power Demand Based on Economic and Meteorological Factors
Authors: Yang Junyi , Ge Yi , Xie Zhenjian , Huang Junhui , Li Hu , Zhou Hui 
Published: October 2020

Abstract
Because the economic and meteorological factors are closely related to the level of power demand, this paper establishes an index system for the upstream and downstream industrial chains of important economic and leading industries. The XGBoost algorithm is used to study the quantitative indicators of economic and meteorological factors, and to analyse the time-difference relationship between the economy of the typical city Nanjing, the upstream and downstream industry chain indicators of the leading industry and the power indicators. Through the relevant data of the Nanjing Power Grid, this paper establishes and quantifies a model of the relationship between the economic and industrial chain information and power systems in Nanjing, and predicts the load in the future.
Research on the Causes of the Accurately Locating Line Loss Exceptions by Querying the Power Consumption Information Acquisition System Based on the Big Data Platform
Authors: Zhu Xiaoying , Jin Xinsheng 
Published: October 2020

Abstract
The combination of a power user information collection system with a two-way interactive platform for power business has constructed intelligent power consumption big data for the energy flow, information flow, and business flow of the power grid and customers. Aiming at the problem that the current distribution network transmission line loss anomalies cannot be traced and difficult to locate, based on the data collected by the measurement automation system, through the management of station, line, transformer, and household data, the use of data mining and analysis technology will The factors of line loss are analyzed. Through the intelligent diagnosis model of line loss abnormality, it analyses the abnormal causes that affect line loss in real time, promotes the transformation of low-voltage line loss management from result management to process management, improves the power supply operation efficiency and management level, reduces the operating costs of enterprises, and improves the economic benefits of enterprises.
The Method of BP Algorithm for Genetic Simulated Annealing Algorithm in Fault Line Selection
Authors: Song Yueyang , Huang Hongquan , Chen Yanming 
Published: October 2020

Abstract
Aiming at the shortcomings of low accuracy and poor applicability of the traditional ground fault line selection method for small current grounding systems, an BP neural network algorithm based on genetic simulated annealing algorithm (GSAA-BP) is used to select the fault line. This algorithm not only avoids the extortionate proportion of the initial weight and threshold of the traditional BP neural network, but also improves the population diversity by changing the crossover and mutation probability of the genetic algorithm. It avoids the result of the algorithm converge to a local optimum. Comparing with other BP neural network algorithms shows that this method in training has higher convergence speed, better complex adaptability and more accurate judgment accuracy.
Research on the system performance of SAC-FBGs codec scheme
Authors: Gao Huan , Zhang Tingze 
Published: October 2020

Abstract
The theory of codec based on non-coherent frequency domain codec (FBGs) and non-coherent spectral domain codec (SAC-FBGs) of light-brain grating is theoretically analyzed and its transmission performance is verified. The codec scheme with better performance is compared. An optical quadrature cyclic shift code with a code length N of 13, code weight ω of 4, and self-correlation λ of 1 is used to implement codec schemes using FBGs codec and SAC-FBGs codec, respectively. Based on multiple access interference, signal to interference ratio (SIR) and bit error rate (BER) are discussed separately. From experimental results, it can be concluded that under the condition that the optical orthogonal codes are identical and the number of concurrent users is the same, the signal to interference ratio of the OCDMA system obtained by using the SAC-FBGs coding and decoding scheme is higher than that of the OCDMA system obtained by using the FBGs coding and decoding scheme. The SIR has increased by nearly two orders of magnitude, and the multiple-site interference BER has decreased by 20 or even 100 orders of magnitude. The experiment verifies that the transmission performance of the same optical orthogonal code using the SAC-FBGs coding and decoding scheme is obviously higher than that of the system transmission performance using the FBGs coding and decoding scheme.
Modeling and Analysis of Suspension Frame of Maglev Train
Authors: Liu Xijun , Gao Lixia , Liu Lu , Tan Yifang , Mou Shirong , Liu Yang 
Published: October 2020

Abstract
Based on the acceleration feedback system, the vertical dynamic model of the low-speed maglev train is established. By decoupling the suspension frame module, the author conducted a stress analysis of the single-sided and the entire suspension system, and established a system dynamics model of the suspension frame. The suspension controller is designed using classic PD control and acceleration feedback control methods. Then, the author used Simulink to create a dynamic simulation analysis program to analyze the dynamic performance of the suspension system affected by track misalignment and external disturbance forces, and analyze the impact of the suspension frame’s parameter design on the suspension system performance.
Damage Simulation of Cable of Long-Span Concrete Cable-Stayed Bridge
Authors: Zeng Bin , Zhou Zhenwei , Wen Bo , Xu Qing , Shao Yanchao , Huang Liyuan , Wan Chunfeng 
Published: October 2020

Abstract
Stayed cable is a key part of the force system in terms of cable-stayed bridge, which safety performance can be influenced by damaged cable. In this paper, an effective area method is utilized to simulate the damaged cable. Both the single and double damages are studied, the corresponding cable loss is estimated; and the changes of the mid-span deflection and first-order frequency are discussed. Moreover, the numerical example is carried out by taking the Sutong bridge as the background. The results demonstrat that it is realistic and possible to simulate the cable loss by using the reduced effective area of cable. Furthermore, the deflection of the main span has an evident change when the damaged cable is farther away from pylons; nevertheless, the cable loss has a slight effect on the first-order frequency.
Development of Extreme Thoughts in Calculus and Its Application in Mathematical Analysis
Authors: Tang Dongchun 
Published: October 2020

Abstract
Extreme thought is the basic idea of calculus. A series of important concepts in mathematical analysis, such as the continuity of functions, derivatives and definite integrals, are all defined with the help of extreme thought. The generation and improvement of extreme thought is under the need of society and it has created a new impetus for the development of mathematics, and has become the basis and starting point of modern mathematical thought and methods. In order to deepen the public’s understanding of extreme thought, this article has studied the development and application of extreme thought. First of all, the concept and emergence of extreme thought are briefly introduced, and then the development process of extreme thought is analyzed from three stages: the germination period, the development period, and the perfect period, and finally the application of extreme thought in mathematical analysis is explained from three aspects.
Visualization of Kernel Function of Convolutional Neural Network
Authors: Li Chengfan , Hu Zirong , Ding Xuehai 
Published: October 2020

Abstract
In recent years, deep learning algorithms have been applied in various fields, and with the continuous development of neural networks, the newly emerging network structures have become more and more complex. However, neural networks are often similar to a black box. The evolution of parameters and the changes of neurons are unknowable. How to understand neural networks is an important research topic. Therefore, for beginners and researchers, a correct way to understand and explain neural networks is needed to improve neural networks. Visualization methods have always been used in the interpretability research of knowledge, which is very helpful to show complex algorithms and networks in the form of specific images, so that users and researchers have significant help in studying the structure of the algorithm and optimizing the performance of the algorithm. The visualization method has been applied to many mining fields. The maximization activation function was been used to realize the visualization of the kernel function in the convolutional neural network (CNN) in this work, and then the network structure and other content are visualized.
Design and Implementation of Heart-Rate Monitoring Circuit
Authors: Zhou Dengrong 
Published: October 2020

Abstract
Combined with different stages and levels of circuit principles, analog circuit, signals and systems, microcontroller principles, application and practice of FPGA courses in the electrical major, the work presented the process and fun of electronic systems' design through tests of the signal conditioning, waveform transformation, heart rate data processing, display and alarm in the heart-rate monitoring circuit by the flexibility of the personal multi-functional experimental platform.
Fault diagnosis of vibration signal of synchronous condenser based on wavelet model
Authors: Chao Wei , Yuandi Lin , Yuliang Zhang , Hongzhong Ma 
Published: October 2020

Abstract
A large synchronous condenser has a complex structure and many parts, which is very prone to failure. However, the regular electrical quantity generally does not change significantly at the initial stage of failure, and may not reflect the fault characteristics. Some non-electrical quantities, such as vibration characteristics, can be used to diagnose and predict faults in a timely manner. Based on this, a multilayer-perceptron based wavelet model is proposed for fault diagnosis. Vibration signals are taken in real time at different positions on the surface of the condenser, and the energy eigenvalues are calculated by fast Fourier transform of the data, and the wavelet neural network model is input for training to obtain the nonlinear mapping relationship between the vibration signals and the fault types of the condenser, so as to realize the fault diagnosis of the condenser. Experimental results show that this method can effectively detect and diagnose the fault of the synchronous condenser in the early stage.
Design and Research of Electric Handling Device for An Aerospace Product
Authors: Jiang C , Sun X F , Zhou S H , Li H , Hu S X , D Sen 
Published: October 2020

Abstract
In the assembly process of aerospace products, manual loading and unloading, handling, overturning and other operations are often repeated. These operations have the problems of low efficiency, high labor intensity and low safety. In order to solve this problems, this paper designs a kind of electric transport turnover device according to the modular idea. In addition, the flexible design of the design is considered, which can be applied to the handling of various products with different structures. The reliability test of the device is carried out, and the results show that the device can meet the reliability requirements of the cabin level aerospace product in the process of handling and overturning.
Development of on-line nondestructive testing device for welding cracks based on piezoelectric ceramic excitation
Authors: Gao Pan , Li Qing , Tong Renyuan , Jin Ying , Jin Weiliang , Lin Zheng 
Published: October 2020

Abstract
Perform real-time non-destructive testing of weld damage in various welded structures of steel to determine the degree of weld damage in order to make timely safety warnings to protect human life and property safety. In this paper, piezoelectric ceramics are arranged on both sides of the weld to find the best frequency of the excitation system. The sine signal of this frequency excites the piezoelectric ceramics on one side, and receives and analyzes the response signals of the piezoelectric ceramics on the other side. This paper uses direct digital frequency synthesis technology (DDS), power management circuit, differential amplifier circuit, band-pass filter circuit, phase detection circuit, amplitude detection circuit, etc. to design a system that can perform real-time nondestructive testing. The whole system can measure the changes of these signals in real time, and send the signals to the upper computer remotely. Analysis of these signals can initially determine the size and location of weld damage. The research results show that when the weld in the steel is damaged, the amplitude of the sinusoidal signal propagating through the weld will be attenuated, and the phase difference between the transmitted signal and the received signal will increase. This change is positively correlated with the degree of damage.
Pumping wells super flexible closed-loop control technology research and testing applications
Authors: Shengli Zhang , Fang Wang , Song Yang , Penggang Chang , Siqi Wei , Xinkun Liang , Chen Song , Ruichang Luo 
Published: October 2020

Abstract
In the late period of oilfield development, beam pumping is the most common artificial lifting method. With many problems such as high energy consumption, low efficiency and poor working condition, conventional drive control and production management mode can hardly meet the need of development. In this paper, a method of super flexible closed-loop control for beam pumps is proposed. With coupling analysis of loads, power and position of crank in a pump cycle and calculating, motor speed and corresponding frequency output curve can be obtained. Thus, variable motor speed with very little change on power mode is achieved. Through the driving frequency output and the drive power change, the variation of loads, torque and power of the whole beam pumping system can be reduced. In this way, working condition and efficiency of the pump can be improved and the abrasion of rod string and energy consumption can be reduced, meanwhile, service life of the whole system can be prolonged. After field test, the result of energy saving and efficiency improving can be seen.
Analysis On Optimization Operation Of Cold End Of 600MW Wet Cooling Sub-critical Air Cooling Unit
Authors: Shengxiang Jin , Liuhu Wang , Jinsong Zhang , Qi Zhang , Qianyu li , Wei Bai , Chuan He , Yong Zhou , Daming li , Yu Xiao 
Published: October 2020

Abstract
Due to its remarkable water-saving characteristics, direct air cooling device has been widely used in carbon rich and water deficient areas in China. However, in the high temperature period in summer, the exhaust pressure of air cooling unit will rise greatly, the exhaust steam temperature will be high and the condensate temperature will be high. In this paper, Daihai Power Plant Phase I unit transformation as the research object, the cold end optimization of air cooling unit is analyzed, in order to improve the unit operation economy.
Multi-node Test and Calibration of Automotive Chip Oxygen Sensor
Authors: Yao Cheng 
Published: October 2020

Abstract
The chip oxygen sensor is an important application structure in the vehicle driving process. Currently, the commonly used chip oxygen sensor is a zirconia chip oxygen sensor, which has the advantages of small size, strong temperature resistance, and strong stability according to the parts. This article analyzes the working principle and main classification of the chip oxygen sensor for vehicles. This paper studies the specific application of multi-node automatic detection and calibration system. The author's purpose is to improve the application performance of the chip oxygen sensor for vehicles and improve the stability of the vehicle during driving.
Research on Multi- node Frame Early Warning System of Power Grid Based on Abnormal Data Extraction
Authors: Sui Bing , Chen Xiaodong , Li Zhengwen , Zhao Jun , Tian Jingfu 
Published: October 2020

Abstract
Nowadays, the collection of electrical energy measurement data is mainly completed by smart meters, electrical energy data monitoring equipment and electrical energy data management equipment. Due to system defects, equipment failures and human factors, it is prone to abnormal data collection. The design concept of online early warning system for extracting abnormal features of electrical energy data based on multi- node real-time computing framework is proposed in the paper to analyze the hardware and software of the online early warning system for extracting abnormal features of electrical energy data.
Time-varying reliability modelling and quasi-static accuracy optimization of precision CNC machine tools
Authors: Guo Shijie , Pang Bo , Jiang Gangjun , Chen Hongxia , Li Zhiqiang 
Published: October 2020

Abstract
Aiming at the influence of time-varying characteristics of geometric error on precision CNC machine tool quasi accuracy retention, a time-varying reliability accuracy maintenance method based on multi-objective reliability and maintenance cost tradeoff is proposed. Firstly, on the basis of geometric error transfer model and Achard adhesive wear theory, a quasi-static accuracy reliability limit state function to meet time-varying characteristics is established and the time-varying accuracy reliability is solved based on the First order second moment method. Secondly, according to the time-varying characteristics of the quasi-static accuracy of machine tools, the maintenance cost model and reliability multi-objective optimization model are established, and the trade-off between cost and reliability function is realized. Finally, the optimization results of three-axis machining center show that the method can realize the optimization of geometric accuracy and determine the quasi-static error compensation value which meets the requirements of reliability accuracy.
Functional Modeling of Mechanical Scanning Radar Based on IDEF0 Method
Authors: Li Chuanqi , Yang Jiangping , Meng Cangzhen , Xiang Jiantao 
Published: October 2020

Abstract
At present, research of radar survivability is another important research field after the six characteristics of radar equipment. Research on the vulnerability of radar equipment is the key issue among them and function analysis of radar equipment is the basis of it. Aiming at the traditional mechanical scanning radar, by analyzing the traditional function tree modeling method and on the basis of it, a radar function modeling method based on IDEF0 is proposed. This method comprehensively analyzes the radar early warning function, comprehensively considers the relationship between its internal functions and the connection with external activities. Finally, through comparison with the traditional function tree modeling method, it shows its superiority and is vulnerable to radar equipment, which can provide some reference for the research of radar equipment vulnerability.
Multi-output forward converter based on power distribution control
Authors: Hongli CHENG , Futao TIAN 
Published: October 2020

Abstract
The cross regulation rate affects the voltage accuracy of the multi-output power supply. To fundamentally improve the cross regulation rate of the multi-output forward converter, a control strategy based on power distribution is proposed. The real-time voltage and real-time current of each output end are sampled by ARM to obtain real-time load, the expected output power is calculated according to the expected output voltage of each path, and the conductance of the main switch and the secondary rectifier are calculated according to the working principle and hardware parameters of the forward converter on time, so that each output gets the desired voltage. The experimental results show that the multi-output forward converter using power distribution control has a cross regulation rate of less than 1% and a load regulation rate of less than 0.4%. The designed forward converter can not only effectively improve the cross regulation rate, but also have better load regulation.