bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and motion analysis of multi-motion mode pipeline robot
Authors: Yan Feng , Gao Haitao , Zhang Lei , Han Yali 
Published: April 2022

Abstract
Aiming to improve the adaptability level of single motion form pipeline robots, a wheeled pipeline robot with multiple motion modes is designed. The overall scheme of the pipeline robot is given. The self-adaptive diameter-changing mechanism, wheel displacement mechanism, and turning mechanism are designed. The motion and mechanical models of pipeline robots during travelling are established; on this basis, the robot‘s main body structure is optimised.
Control method of three-wheel intelligent tracking logistics car based on OpenMV4
Authors: Song Yuchen , xie zhijiang 
Published: April 2022

Abstract
The author designs an intelligent lifting transport device based on STM32 microcontroller. The lifting device is designed with STM32F407ZGT6 as the control core, and the hardware consists of OpenMV4 recognition, gray tracking, motor drive and other modules. It can carry out automatic, gray tracking, OpenMV4 recognition, intelligent material grasping and other functions, and can follow the track black line on the set plane track, and complete the preset operation. The experimental results are good.
Optimal Design of Machine Tool Vibration Reduction Based on Magneto-rheological Damper
Authors: Zhang Tieshan , Ren Zhong 
Published: April 2022

Abstract
This paper takes the three - way redundant drive parallel machine tool as research object, designs a magneto-rheological damper with displacement amplification function and simulates the magnetic circuit saturation of the damper by the Ansys workbench finite element analysis software, so that the output of the damper comes to optimization. The research results show that the magnetic field distribution is more reasonable, and the mechanical properties of the damper are improved. The optimization method is feasible and effective.
Vector control system design for asynchronous motors
Authors: Bai Panpan , Nie Wenyan 
Published: April 2022

Abstract
In order to decouple the excitation and torque components of the stator current so that the asynchronous motor speed control system approximates a DC speed control system. Firstly, the asynchronous motor model is transformed in coordinates, and then the vector control idea is proposed to construct a vector control system for the asynchronous motor. At the same time, a simulation model of the vector control system of an asynchronous motor was created on the Matlab platform and the speed waveform was recorded. The analysis of the experimental data showed that the speed response of the vector control system was fast and smooth, which improved the performance of the asynchronous motor speed control system.
Application of Edge Computing in the Quality Control of Cable Production Process
Authors: Xu Kan , Feng MingJun , Liu YuCheng , Deng HongGang 
Published: April 2022

Abstract
Given the lack of quantifiable evaluation criteria for the quality supervision and control in the existing power cable industry, insufficient research on the correlation of production indexes in the production process, and low timeliness in the analysis and processing of massive multi-source production data, the video monitoring model and data-driven process quality evaluation strategy model under the edge computing framework were constructed. Next, all the production data and test data in the cable production procedures were captured using edge nodes, and the factory-side data was cleansed, processed, and analyzed. The cable manufacturing quality was evaluated through edge computing, and the business process was arranged based on the edge computing results, so as to improve the cable product quality and finally optimize the total value chain of production in the whole cable industry.
Research on non-propellant electromagnetic controll based on Eddy Current Brake under non-uniform magnetic field
Authors: Liao Qian , Shi Yongkang 
Published: April 2022

Abstract
High-speed space debris threatens the safety of satellites in orbit, and efficient removal of space debris has become an inevitable trend. However, the spacecraft is still dependent on the active consumption of propellant to maintain the relative distance in the eddy current brake process. By discussing the high-speed rotating target of non-contact de-spun method and drawing technology, electromagnetic de-spun and drawing technology based on a non-uniform magnetic field is proposed to use alternating current form to control rotate-target magnetic field force during electromagnetic interaction process. Through the simplified model and condition, put forward electromagnetic satellite of one coil control method. The feasibility of the technique is verified by numerical simulation. The simulation results show that the relative distance between the electromagnetic satellite and the target can be effectively affected the output current of the electromagnetic coil controlled through distance feedback under nonuniform magnetic, so as to realize the long-term mission without propellant.
Influence of airfoil trailing edge on blade design and machining of small wind turbine
Authors: Lin Hanxiao , Sun Wenlei , Xing Xuefeng 
Published: April 2022

Abstract
In the design of small wind turbine, narrow structure is often produced at the trailing edge of airfoil, which brings great difficulties to production and processing. In this paper, the airfoil sd7080 is modified by removing part of the airfoil trailing edge to meet the processing technology. Through the calculation and analysis of the Q blade software, part of the airfoil trailing edge is removed, and the airfoil and wind-wheel aerodynamic characteristics are changed. Results: Under the same angle of attack, after removing part of the airfoil trailing edge, The lift coefficient CL and drag coefficient Cd of the airfoil are reduced, α<8.6°, the lift-to-drag ratio CL/Cd decreases, α>8.6°, the lift-to-drag ratio Cl/Cd slightly increases; After removing the trailing edge of some airfoils, the wind energy utilization coefficient CP, torque and thrust of the wind turbine are slightly reduced, and the aerodynamic performance meets the use requirements. Finally, this paper introduces the blade modeling method, and processes the blade through 3D printing technology. The research provides reference significance for the initial design and processing of small wind turbine blades.
Monitoring system based on wireless temperature measuring device
Authors: Wu Tianyi , Xu Xiangyi , Chen Lu , Tang Weijie 
Published: April 2022

Abstract
This paper analyzes the current common problems in substation temperature measurement, and the transformer temperature measurement system is designed. The system includes a temperature collection node, a temperature concentrator and a remote monitoring center, which can perfectly realize the functions of temperature collection, wireless transmission and online monitoring. Through the actual application of the software, it can be seen that the various modules are operating normally and have reached the design goals.
Kinematics modeling of redundant manipulator based on screw theory and Newton-Raphson method
Authors: Ge Dawei 
Published: April 2022

Abstract
In this paper, forward kinematics and inverse kinematicsis algorithms are proposed to solve the problem that the redundant manipulator has more freedom than the traditional manipulator and cannot directly solve the inverse kinematics analytical solution. Firstly, the forward kinematics model is established through the screw theory; secondly, Newton-Raphson method is used to solve the inverse kinematics of the manipulator. Finally, the algorithms of redundant manipulator are verified through an example simulated by Matlab Robotics toolbox. The results show that the kinematic algorithms are correct, which provides a good algorithm basis for subsequent dynamic control.
Research on Fingerprint Recognition Algorithm
Authors: Tan Linglong , Chen Huanyun , Yin Xiaoyao , Zheng Shiqi 
Published: April 2022

Abstract
Fingerprint characteristics will not change due to growth or aging, and are unique and suitable for the field of identification. The fingerprint image is scanned from left to right and from top to bottom in order to scan the points on the entire image, and then the points on the image are judged to achieve fingerprint feature point extraction. Then, the fingerprint image is preprocessed and feature extracted, and the center point of the fingerprint, the direction field of the fingerprint image and the coordinates of the feature point are obtained. The reference direction of the fingerprint is extracted. After the reference point and the reference direction of the fingerprint are determined, the characteristic information of the fingerprint is modified and the characteristic information is expressed in polar coordinates. The template and the feature information of the input image are sorted in the direction according to the direction of increasing polar angle, and the feature information is connected in series. If the matching degree of feature points is greater than the preset value, it is considered that the two fingerprints are matched successfully. It can be seen from the experimental results that the two fingerprint images are loaded, the feature point map and the smooth processing map are extracted after preprocessing, and the feature point matching degree is calculated. It can be judged that the two fingerprint images are from the same fingerprint.
Deep learning-based defect detection for hot-rolled strip steel
Authors: Si Binglong , Yasengjiang Musha , Wu Huawen 
Published: April 2022

Abstract
Defects in the strip’s surface can have an impact on the strip company’s product sales. As a result, it’s crucial to spot flaws on the strip steel’s surface. The Faster R-CNN network is structurally upgraded for the issue of strip steel surface defect detection by employing FPN for feature fusion in the feature extraction layer, RoI Align instead of RoI Pooling in the pooling layer, and Softer-NMS in the final prediction fully connected layer. In addition, for training, transfer learning is employed. The experimental findings demonstrate that the suggested technique mAP outperforms the original Faster R-CNN by 7.6%, and the detection time is fast enough for strip steel detection online.
Model-Based Safety Analysis of Movement Authority Scenario in TcCBTC system
Authors: Lin Junting , Min Xiaoqin , Chai Jinchuan 
Published: April 2022

Abstract
Train-centric communication based train control (TcCBTC) system contains a variety of uncertain factors in the operation process, and the generation scenario of movement authority is a real-time process. In order to judge the impact of uncertain factors on system safety, it is necessary to conduct formal modeling and analysis for this implementation process. Aiming at the modeling and analysis of the system in an uncertain environment, firstly, the implementation process of TcCBTC movement authority was analyzed, and the hazard source identification is carried out by combining the hazard and operability study (HAZOP) method. Secondly, the movement authority generation process is modeled based on the stochastic hybrid automata theory, and the statistical sample data are simulated in UPPAAL-SMC. Finally, the statistical model checking algorithm was used to analyze the model quantitatively. The results showed that the model could meet the functional attribute requirements of movement authority generation in TcCBTC system, and describe the uncertain environment in the process of system operation. SMC method could quickly verify the impact of uncertain factors on the system, and provide a certain theoretical basis for subsequent TcCBTC system development and relevant specifications.
Finite time stability analysis for T-S fuzzy positive systems and its application in pest control
Authors: Yang Tong , Cheng Yuyin , Zhu Baolong 
Published: April 2022

Abstract
This paper is considered with the finite time stability (FTS) for positive nonlinear systems. First, the fuzzy copositive Lyapunov function (FCLF) is established to reduce the conservatism of FTS conditions. Then, by using FCLF, a new FTS criteria of the studied systems is established. Since, the time-derivatives (TD) of membership functions are considered in the stability analysis, our results are less conservative. Besides, the obtained conditions are expressed via the linear programming technique, that can be verified effectively. Finally, the pest-predator system is used to reflect the effectiveness of the results.
The adsorption postures of water on CH3NH3PbI3 surfaces: a first-principles insight
Authors: Pu Wenhua , Yang Hui , Xiao Wei , Li Xiaowu , Wang Ligen 
Published: April 2022

Abstract
Inorganic organic perovskite solar cells (PSCs) are a kind of solar cells with rapid development in recent years, but their poor environmental stability, such as the water degradation behavior, hinders their commercialization. Here, we have thoroughly studied the adsorption postures of water on CH3NH3PbI3 surfaces. It is found that the adsorption energy of water molecules on perovskite surfaces is [-0.63, -0.59] eV, and with different initial postures, water molecules could eventually be adsorbed above Pb atom in a horizontal structure. The interaction between the perovskite surface and water molecules mainly comes from the electron exchange of Pb-O atoms. The weak interaction between H-I atoms makes the H atom approach the I atom, which could help maintain a horizontal structure of water molecules. The interactions between perovskite surfaces and water are well explained by our DFT calculations.
Research on Leakage and Diffusion characteristics of Liquid Hydrogen Based on Gaussian Diffusion Model
Authors: Shi Bangkai , Chen Yanwei , Hu Yang , Wang Yawen 
Published: April 2022

Abstract
In order to analyze the diffusion characteristics of the hydrogen cloud during a liquid hydrogen leakage accident, the Matlab calculation program of liquid hydrogen leakage and diffusion was compiled based on the Gaussian diffusion theory, and analyzed the influence of wind speed, pressure, leakage area and other factors on the size of the dangerous area after liquid hydrogen leakage.The calculation results show that: the wind speed accelerates the diffusion, and the higher the wind speed, the stronger the dilution effect on the hydrogen cloud, and the smaller the dangerous area formed; the increase of pressure and leakage port area will increase the leakage of liquid hydrogen, and as a result, the scope of the dangerous area is increased.
Operating performance analysis of cold and heat sources composite based on ground source heat exchanger and hot water exchange tanks
Authors: Miao Jingquan , Gao Yan , Liu Jingru , Cao Qing , Dou Huawei , Li Yanlei , Ji Fengjun , Zhang Tao , Li Yanteng 
Published: April 2022

Abstract
Aiming at the air-conditioning system of underground space engineering, it is proposed to use ground source heat exchanger and hot water exchange tanks in parallel as a composite cold and heat source, which can simultaneously achieve energy-saving requirements. In order to explore the operating heat transfer characteristics of the composite cold and heat source system, a mathematical model of buried pipes and hot water exchange tanks was established. The simulation analysis of the influencing factors such as inlet temperature and fluid flow rate shows that under the condition of small flow rate, increasing the fluid flow rate can significantly improve the buried pipe and the hot water tank and the heat exchange effect; the greater the temperature difference between the inside and outside of the pipe, the better the heat exchange effect of the heat exchanger, under the same flow rate, the heat transfer coefficient of the spiral coil is KDN15>KDN20>KDN25. According to three different load conditions, the flow ratio of the composite cold and heat source is optimized and analyzed. The results show that as long as the flow ratio is properly controlled, the composite cold and heat source can meet the cooling requirements of the air-conditioning system under different working conditions. There is an optimal flow ratio between the heat sources. The greater the ratio R of the extreme working condition load change value to the standard working condition load value, the smaller the value of the optimal flow ratio, and it is not affected by the loop flow rate and the inlet water temperature change.
The new-type batteries with ultimate energy density
Authors: He Ming , Wang Maoxun , Wang Zerui 
Published: April 2022

AbstractIn recent years, many countries have made plans for the development of electric vehicles. In 2021, the EU announced a plan to completely stop the sale of fuel cars by 2035 and replace all fuel cars with pure electric vehicles, reducing the carbon emissions to 100%. This is the most radical emissions reduction plan in history, and it means that the era of pure electric cars has officially arrived. The limited energy density of lithium-ion batteries currently used in cars has hampered the development of electric vehicle mileage. To meet the demand for electric vehicles, the development and research of high energy density batteries are urgent. Based on a review of the current literature, this paper summarizes the development history, working principles, current challenges and solutions of the solid-state battery, lithium-air batteries and nuclear batteries. The current dilemma for solid-state batteries is the lack of a suitable solid electrolyte, which is needed to possess high ionic conductivity of above 10 (mS/cm) at room temperature and negligible electronic conductivity with a high ionic transference number wide electrochemical stability windows. Lithium-air batteries have low power density, battery energy attenuation, and high safety performance. The research and application of nuclear batteries are more difficult, including low energy conversion rate and health problem. The result provides some guidance to researchers initially involved in the high energy density battery industry.
Application of Duval Pentagon in State Diagnosis of On Load Tap Changer
Authors: Yue Yunkai , Yang Dingqian , Han Dandan 
Published: April 2022

Abstract
A comparative analysis on the effect of two DGA methods, Duval Pentagon and Duval triangle, in identifying abnormal OLTC was carried out. The corresponding area of Duval Pentagon corresponding to the normal state of OLTC was determined, and Duval Pentagon was used to judge the OLTC of UHV converter transformer. The results show that the Duval Pentagon can identify the normal and abnormal states of on load tap changers. More than 95.5% of the on load tap changers are in the low energy discharge area numbered D1. The identification results of 245 on load tap changer states show that the accuracy of normal state of Duval Pentagon is higher than that of Duval triangle, which can be used as an auxiliary criterion for on load tap changer state diagnosis.
Design optimization and numerical verification of adaptive composite blades for hydro-turbine
Authors: Fang Liang , Xu Xiaogang , Li Qiang , Wang Zhenbo 
Published: April 2022

Abstract
In this paper, an adaptive composite blade is designed based on the composite mechanics and bending torsion coupling theory, and the blade structure is optimized by a multi-parameter and multi-objective optimization method. Furthermore, the dynamic interaction between the flow and structure domain during the bend-twist coupling process was also studied by the two-way fluid-structure coupling method to verify the hydrodynamic performance and structural performance of the optimized blade. The results show that the multi-parameter and multi-objective optimization method is suitable for the design of composite blades. The optimized blade has better hydrodynamic performance and structural performance, manifesting a higher energy utilization and less concentrated stress.
Numerical Simulation Research on Cable Fire of Urban Underground Comprehensive Pipe Gallery Using Suffocating Fire Extinguishing Method
Authors: Zhang CongWu , Li QuanYang , Zhang LiJing , Tao Gang 
Published: April 2022

Abstract
The integrated pipe corridor cable is the lifeblood of urban power transmission and has a high fire hazard. Once a fire breaks out, the electricity supply of the entire city will be paralyzed. Aiming at the cable fire in the urban underground integrated pipe gallery and combining with the Pyrosim software, this paper adopts the method of fire suffocation, to study the changes of fire smoke in the pipe gallery. The results show that in the pipe gallery of the 200m fire compartment, the open flame can be completely extinguished in 264s under the simulated working condition of the fire source power of 1MW. At 300s after the cable fire, the temperature in the pipe gallery basically maintained a stable state of 40°C. After the fire broke out, the O2 concentration dropped rapidly and plunged to 16% within 195s and it was completely consumed in 515s. Studies have shown that the use of suffocation to extinguish fires produces less fire smoke in the pipe gallery, and the visibility can be well maintained above 30m.
Flame synchronization and flow field analysis of double candles
Authors: Hao Guancheng , Pang Bowen , Zhang Qilin , Cui Fei , Sun Sijia , Liu Shuo 
Published: April 2022

Abstract
Flame instability is an interesting topic in combustion science, and it is also of great practical significance for designing high-performance burners. In recent years, the synchronization phenomenon caused by a pair of coupled candles has aroused widespread attention, among which in-phase and anti-phase are two notable examples. In order to understand the flow structure of the flashing flame and the reasons for the synchronization of the flame oscillator, COMSOL flow field analysis technology and MATLAB grey analysis technology were used to analyze the flow field of candles in three combustion states and the change of candle combustion state respectively. By analyzing the flow structure of flashing flame, the reasons of different burning states of candles are explained. Moreover, the experimental and numerical simulation results show that the in-phase mode is characterized by the symmetrical formation of vortex concerning the centerline of two groups of flames, and the flames are vertically stretched under the vortex action. The characteristic of the anti-phase mode is that the vortex alternately forms asymmetrically concerning the centerline of two groups of flames, and the non-uniformity and asymmetry of the vortex lead to the instability of the flame surface. The characteristic of the incoherent mode is that the vortices generated by the two candle groups no longer act on each other, and the airflow field between the two candle groups remains approximately unchanged.
Short-term power generation load forecasting based on LSTM neural network
Authors: Huang Bicheng , Tong Langxing , Zuo Yu 
Published: April 2022

Abstract
With the gradual deepening of power market reform, power generation enterprises’ prediction of their future short-term power generation load is conducive to affecting the load distribution of power grid dispatching to power generation enterprises, so as to achieve the purpose of power marketing. In this regard, this paper proposes a power generation load forecasting method based on long and short-term memory (LSTM) neural network, which takes the power generation load sequence data as the model input to predict the future short-term power generation load of power generation enterprises, and proves that compared with the traditional Neural network method, LSTM neural network has higher prediction accuracy.