bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Smart Mattress Based on Fiber Unbalanced Sagnac Loop
Authors: Ke Chenxi , Cai Yilun , Zhao Tao , Li Zhengying 
Published: May 2021

Abstract
Because the contact vital sign detection system is monitored through skin contact, it affects the user’s comfort and causes inconvenience. And most of the non-contact equipment is not high precision, or the cost is too high. To solve the above problems, this article is based on the physiological activity of slight vibration in multimode optical fiber micro bending deformation which result in the change of light intensity principle, considering the structure of the optical fiber Sagnac loop sensor has simple structure, low cost, but the signal to noise ratio is poor and is not sensitive to low frequency signal, this paper designed a based on intelligent mattress of non-equilibrium sagnac loop structure. The mattress can obtain the heart impact map signal in real time by changing the small light intensity, and obtain the heart rate, respiration rate and other information through the algorithm processing the signal. Mattress in the design of the sensing optical fiber module will be connected to two different types of optical fiber of Unbalanced Sagnac loop structure, solve the balance Sagnac loop structure of optical fiber access signal noise is bigger, poor sensitivity were weakness, go through the serpentine line way of embedded mattress, and using the mattress cover material for optical fiber micro bending cycle critical mechanical adjustment cycle, the mattress is of high sensibility. Cardiac and respiratory signals obtained in the laboratory were compared with those obtained from the balanced Sagnac loop, and through the fast Fourier transform (FFT) in frequency domain signal is analyzed, the vital signs of signal more clearly this mattress stable and less noise, change the tester for many times after tests, get the signal of high accuracy, the error is very small. The experiment shows that the mattress can realize the non-sensory vital signs signal detection, convenient for users to monitor their physical conditions in real time in daily work and life, and can timely notify the family members and medical staff in emergency, to avoid the occurrence of accidents.
Research on the Evaluation System of Battery Electric Vehicle Product Quality Satisfaction
Authors: Xu Wenxia , Liu Lu 
Published: May 2021

Abstract
The traditional fuel vehicle market has a relatively mature product quality evaluation system, which provides a scientific reference for consumer decision-making and enterprise’s research and design. However, the research on the product quality evaluation system of BEV (battery electric vehicle) on the market is still relatively preliminary. This paper first establishes a two-level BEV product quality satisfaction index system, then conducts a questionnaire survey of users in four typical scenarios: taxis, private vehicle, car-sharing and logistics vehicle, and finally uses SPSS and AMOS verifies the establishment of the satisfaction indicator in the four scenarios, and determines the weight in each scenario.
Research on Key Technologies of Power System Automation in Smart Grid
Authors: Tan Long , Zhang Kexin , Wei Chunming , Chen Shiyu 
Published: May 2021

Abstract
The paper summarizes the construction mode of distribution network automation system, and sorts out the operating characteristics of centralized intelligent mode and distributed intelligent mode. In view of the construction and operation of China’s distribution network automation system, point out common problems in system construction, operation and management in most regions. At the same time, the paper proposes the optimization of distribution network automation technology based on the gravity search algorithm, and improves the algorithm. Finally, the improved gravity search algorithm is applied to the IEEE 6-node power system. The calculation results show that the active power loss and voltage obtained by the algorithm are Compared with the original state, the level has been greatly improved, which greatly improves the automation efficiency of the power system. In this paper, the gravity search algorithm is used to calculate the optimization of power system automation technology, and the algorithm is improved, which overcomes the shortcoming of easy convergence to the local optimum.
Finite element optimization design of aircraft equipment installation structure
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: May 2021

Abstract
In this paper, the crack of the saggar was solved by finite element method, and the reason of the crack was found out through calculation and analysis. Then, the optimized design of the saggar was carried out, and the longitudinal stiffness of the saggar was strengthened, and the connection mode between the saggar and the saggar was changed. After calculating the optimized equipment support and sagger, it is found that the maximum stress of sagger is reduced by about 95% compared with that before optimization, which meets the requirements of strength design, indicating that the optimized scheme is very effective.
Response analysis of HTPB propellant under extreme high temperature conditions
Authors: Li TianPeng , Lu Bang , An ZhenTao 
Published: May 2021

Abstract
Temperature load is one of the loads that propellant grains are often subjected to. Temperature shock or temperature cycling will affect the structural integrity of propellant grains to a certain extent. How to ensure that the propellant grains meet the structural integrity requirements under temperature load conditions and ensure equipment the significance of a smooth launch is very important. In this paper, the HTPB propellant sample response analysis test is carried out based on the global temperature environment distribution of different temperature grades, and the extreme high temperature impact simulation experiment is carried out for the grains under the specific structure considering the impact of extreme high temperature conditions, and finally different models are constructed. The constitutive model of HTPB propellant under extreme high temperature, its grain meets the structural integrity criterion after being subjected to the impact of extreme high temperature.
Evaluation of Adjustable Load Potential of Industrial and Commercial Users Based on Power Demand Response
Authors: Liu Junhui , Yang Meng , Deng Fangzhao , Zhao Wenjie , Yang Qinchen , Li Hujun 
Published: May 2021

Abstract
In order to reduce the peak load in the period of power shortage through power demand side response, it is necessary to evaluate the peak cutting potential of major industries in this region. Based on electricity information acquisition system and big data mining analysis technology, this paper proposes a peak-clipping potential assessment method and process for power demand side response based on the characteristics of different industries, and evaluates and ranks the peak-clipping potential of 17 major industries in Henan Province. The evaluation method and results provide a theoretical basis for studying and judging the peak cutting scale and target in advance.
Experimental Research on Size Distribution of Suspended Particles in water Based on Mie Scattering Theory
Authors: Zhou Huan , Li Lian 
Published: May 2021

Abstract
With the rapid development of social economy, it has brought serious environmental pollution problems. This thesis mainly summarizes the measurement methods of particle size and distribution of suspended particles. We have analyzed the relationship between scattering coefficient and concentration of different wavelengths at each scattering angle; the relationship between scattering coefficient and concentration of different scattering angles at each wavelength; and the relationship between scattering coefficient and wavelength of different concentrations at each scattering angle. The result shows that particle size and distribution of suspended particles can be accurately reversed when scattering angle is 15 degree, denoising factor is 200 and wavelength range is 450 nm-500 nm. The analysis can effectively filter out suspended particles in water, which is essential to resolve air pollution and purify water quality.
Kinematics Analysis and Trajectory Planning of Dual-arm Pruning Robot
Authors: Lu Ye 
Published: May 2021

Abstract
In order to overcome the disadvantages of manual pruning of tree branches, the dual-arm pruning robot is proposed in this paper. The structure of the dual-arm pruning robot is designed, and the three-dimensional model is established. Taking the dual-arm of the pruning robot as the study object, the D-H method is used to build the kinematics model so as to better research the process of the two arms cooperative pruning. The kinematics simulation is done by Matlab to verify the rationality of the D-H parameters. The workspace of the dual-arm is analyzed, as well as the trajectory planning in joint space. The torques of each joint are solved to determine the power of the driving motor. The research results provide the theoretical basis for the final prototype manufacturing.
Research on Regenerative Braking Algorithm for New Energy Vehicles
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: May 2021

Abstract
This paper introduces the research status of regenerative braking abroad, expounds the typical regenerative braking algorithm, and introduces the overall structure of the integrated control algorithm of regenerative braking and stability. By comparing regenerative braking and ESP coordinated control algorithm, ABS and ESP coordinated control algorithm and dynamic coordinated control algorithm, the theoretical limitations, advantages and disadvantages of typical regenerative braking algorithm are discussed. It provides material for studying regenerative braking algorithm.
Review of the theory of hybrid modeling
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: May 2021

Abstract
This paper reviews the research theory of domestic and foreign hybrid modeling dynamic substructure and frequency response, and then introduces the basic principle of Jetmundsen, Ren substructure synthesis method, mechanical impedance admittance method, mechanical admittance method of interchange-ability and FBS substructure method. In the end, the scope and limitations of the method are compared and analyzed, and a new direction of hybrid modeling of dynamic substructure theory is put forward.
Study on equivalent method of solder joint of BIW
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: May 2021

Abstract
First create a simple beam model of finite element simulation analysis, find the principle and method of equivalent ACM solder joints, then the equivalent method of ACM welds a car white body finite element model is established, by using NASTRAN analysis modal, torsional rigidity and bending rigidity, and compared with the experiment on the mark, has the very good correlation. The results show that based on the 5mm×5mm mesh size, the equivalent ACM solder joint model is reasonable and reliable for the modal and static stiffness modeling analysis of BIW.
The Impact of New Investment on the Transmission and Distribution Price
Authors: Ma Tiannan , Du Ying , Jiao Jie , Wang Yun , Jian Yaling , Yu Guangxiu , He Puyu , Hu Guohui , Wu Guangchuan 
Published: May 2021

Abstract
The reform of transmission and distribution price is the core of power system reform. There are few studies on the impact of new investment on the transmission and distribution price. This paper discussesed the impact of new investment on the transmission and distribution price under different depreciation rate, asset liability ratio and new investment included in fixed asset rate. The results showed that the asset liability ratio does not have a significant impact on the electricity prices, while the change of the depreciation rate and the ratio of newly increased investment included in fixed assets will have a direct impact on electricity prices.
Research on consumer demand and trend of automobile HMI function
Authors: Wei Bing 
Published: May 2021

Abstract
Consumers pay more and more attention to automobile intelligence. Under the trend of “new four modernizations”, it is inevitable for automobiles to move towards intelligent terminals, and automobile HMI is an important carrier of automobile intelligence. At present, the design of automobile HMI is still not accurate enough to grasp the needs of consumers, which leads to poor consumer experience. In this paper, from the perspective of consumer demand, consumers are classified according to the difference of automobile HMI demand, and the experience evaluation and demand difference of different types of consumers on automobile HMI are analyzed to explore the demand trend of consumers on automobile HMI function.
Simulation Analysis of Ferro resonance of Generator-Transformer Group Shock Tripping
Authors: Zhang Dewen , Wei Xinyu , Yu Peiyong , Shen Yubo , Ma Haifeng 
Published: May 2021

Abstract
As a common self-excited oscillation in power systems, ferromagnetic resonance has a great threat to the insulation of electrical equipment due to overvoltage and overcurrent. The magnetizing inductance of electromagnetic voltage transformers has nonlinear characteristics, which tend to saturate the excitation and cause circuit resonance and generate resonance overvoltage. The ferromagnetic resonance overvoltage caused by the saturation of the transformer has greatly affected the safe and stable operation of the power grid. Therefore, it is very necessary to analyze, calculate and simulate the ferromagnetic resonance overvoltage, and to study the measures to eliminate resonance. Through theoretical calculation and simulation analysis of a hydroelectric power plant generator-transformer group reverse transmission impulse tripping fault, the cause of its ferromagnetic resonance was analysed, and relevant operation and maintenance suggestions were put forward to provide a basis for further research.
Application Analysis of Power System Control and Fault Diagnosis Based on Ant Colony Algorithm
Authors: Wu Linlin , Ren Hongchang , Li Dongyi 
Published: May 2021

Abstract
Due to the frequent occurrence of power system faults and the complexity of fault types, the speed of traditional control methods is slow, so a power system control method based on ant colony dispersion walk algorithm is proposed. Artificial neural network is a method and technology in machine learning, which has been widely used in engineering and technology. The problem of power system fault diagnosis is complex and changeable, so it is difficult to achieve accurate diagnosis by conventional methods. At present, the commonly used neural networks include perceptron, single-layer network, BP network and radial basis network, each of which has different characteristics and uses. BP network and radial basis network are commonly used in power system fault diagnosis. The network can be created, trained and simulated in MATLAB, and the power system fault model can also be established and simulated. According to the characteristics of the system nodes, a nonlinear control model composed of a set of differential-algebraic equations is established to establish the steady-state model of the power system structure, and the ant walk algorithm is used to solve the model and analyze the node information of the power system. The control output principle of power system power node is set to judge whether the operation state of power system is normal or not, so as to complete the design of power system control method based on ant colony dispersion walk algorithm. The experimental results show that the proposed method has fast control speed for power system faults. The synchronous frequency signal and voltage signal provided by the power system are extracted, the characteristics of the power system signal are classified, and the hidden fault location is determined by the time-frequency characteristic of the power system voltage signal. The experimental results verify the robustness of the above methods for fast hidden fault location.
A Distributed Optimization Algorithm for Multi-Area Power Grid Transmission Congestion Management
Authors: Ji Yuejin , Liu Kai , Li Xianshang , Zhang Gaofeng 
Published: May 2021

Abstract
The interconnection of power grid brings significant economic benefits, while it calls for higher requirements to the security, stability and economic operation of power system as well. With high dimensionality of its optimization problem, the whole network centralized optimal power flow (OPF) algorithm is computational inefficient. Therefore, on the basis of power grid layering and zoning, the distributed optimal power flow calculation method in interconnected power grid with multiple control centers has important realistic significance. A distributed optimization algorithm of interconnected power grid transmission congestion management is proposed in this paper. The active power constraints of inter-area transmission interfaces are considered to satisfy the trade power constraints between adjacent sub-systems. The coordination and cooperation procedure counts on the correction and updating of boundary bus equivalent injection power and voltage vector. The numerical results on IEEE test systems show that the algorithm for transmission congestion has good convergence ability.
Research on Power Equipment Fault Diagnosis Technology Based on Acoustic Signal
Authors: Zou Hongsen , Chen Haoyang , Liu Zhiyuan , Wang Guohua 
Published: May 2021

Abstract
In recent years, with the continuous growth of China’s electricity load, the power industry has developed rapidly. Power transformer is the most important and expensive in transmission and distribution system of large-scale power equipment, which undertakes the important task of power transmission. With the development of power system towards ultra-high voltage, large power grid and intelligence, it is particularly important to improve the safe operation level of transformers. Once the power transformer accident occurs, the repair time is longer and the influence is more serious. To solve this problem, a new power equipment fault diagnosis technology based on acoustic signals is studied in this paper, which is used to accurately diagnose and analyse the running state of the transformer. The simulation results show that the fault diagnosis based on acoustic signal is more accurate and can effectively diagnose the fault of power equipment.
Fast Energy Equivalent Modeling of MMC Based on Controlled Source
Authors: Li Jiyu , Chen Xue , Chen Dacai , Ye Xiangman , Guo Jintao , Cheng Zhiwei 
Published: May 2021

Abstract
The electromagnetic transient simulation of large-scale MMC has the problems of large memory requirements and long simulation time, which restricts the development of simulation research [1-3]. To solve the problem of low efficiency of MMC electromagnetic transient simulation, this paper proposes a fast energy equivalent model for the equivalent of MMC. Thus, the fast simulation of MMC under normal working conditions and efficiency of simulation model can be realized. First of all, the rationality of achieving the Norton equivalent of MMC bridge arms is derived from the node voltage analysis method. Then the equivalent modeling method of MMC controlled source can be obtained. On this basis, a fast energy equivalent model that can simulate the capacitance characteristics of each sub-module of MMC is proposed by analyzing the switching function form of MMC. Finally, the proposed simulation modeling method was verified on the PSCAD/EMTDC simulation platform.
Method for Suppressing AC Side Fault Feed Current of Flexible DC Distribution Network Based on Improved Bidirectional Thyristor
Authors: Gao Chao , Chen Xianda , Li Jiyu , Zhao Guosheng , Liu Jianwei , Lin Yufeng 
Published: May 2021

Abstract
In the flexible DC power distribution system, once the DC side fails, the converter’s interior will be quickly affected by the AC side fault feed. In view of the shortcomings of the current fault feed suppression methods, an improved AC side fault feed suppression method based on the improved bidirectional thyristor is proposed. The simulation results show that the above method can suppress the impact of the feed current inside the AC side converter and limit the short-circuit current flowing into the bidirectional thyristor on the AC side.
Research on The Hidden Dangers and Countermeasures of Electricity Safety in College Students’ Apartments
Authors: Zhang Benchang , Zhang Fengyan , Tang Wei 
Published: May 2021

Abstract
Students’ apartments in Colleges and universities are densely populated, which is a high incidence area of campus fire. There are many hidden dangers of electrical safety in student apartments. In terms of buildings, the infrastructure construction is not standardized, the overall function design does not match, the power supply and distribution lines and safety facilities cannot meet the current needs of life, the power lines are aging, the insulation layer is damaged, and so on. In terms of power consumption, high-power electrical appliances are used in violation of regulations and requirements. The reasons for the above safety risks are: the school management personnel have weak safety awareness, do not pay enough attention to the safety management of electricity, the quality of some electrical equipment is not up to standard, the hidden danger investigation and rectification is not strict, and so on. The main countermeasures are: the school should fulfill the main responsibility of safety work, strengthen the apartment safety management, strengthen the students’ awareness of electrical safety, popularize the knowledge of electrical safety, investigate and rectify the hidden dangers of electrical safety, etc.
Research on European capacity cost recovery mechanism and its experience to China’s power market construction
Authors: Xing Yuhui , Zhang Maolin , Liu Xiangrui , Chen Qinggui , Mu Chunfeng , Wang Bangcan 
Published: May 2021

Abstract
This paper makes an in-depth study of generation capacity cost recovery issues that have been, or are being faced, in European countries and summarizes its experience to China during the construction of competitive power markets. Firstly, the paper explains the idea and principle of capacity cost recovery mechanisms in EU, which are policy instruments to ensure adequate investment in generation capacity, then analyses the obstacles to the realization of capacity cost recovery in the energy-only market. Then, the paper divides the European capacity cost recovery mechanism into five categories: strategic reserve, capacity obligation, capacity auction, reliability option and capacity payment, and expounds the operation flow of the mechanisms respectively in detail. Thirdly, the paper studies the possible impact of the capacity cost recovery mechanism on the electricity market. Finally, the paper summarizes the practical experience of European capacity cost recovery mechanisms and lay a foundation for the design of generation capacity cost recovery mechanism in China.