bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of navigation flow conditions in the entrance area of the Babao ship lock of Hangzhou section of Jinghang Grand Canal
Authors: Yang Yuanping , Zhang Zhiyong , Cheng Wenlong , Wang Reifeng 
Published: February 2021

Abstract
In this paper, we used typical riverbed topography and hydrodynamic conditions, combined with the arrangement of the Babao ship lock exit guiding wall and three tidal gate construction schemes, to calculate the planar flow regime for the exit channel area. In addition, the variation of the planar flow field at typical moments in local outside the entrance area, the size of the recirculation region, the lateral flow velocity, and the longitudinal flow velocity in the outlet channel are used to analyze and compare the navigational flow conditions of different schemes. The calculation shows that the magnitude and direction of the mainstream flow outside the guiding wall are basically unchanged after the construction of tidal gates. Out-of-port flow patterns are not related to whether or not tide gates are built, and the impact of building gates is primarily in the waters inside the head of the guiding wall. Compared with and without a tidal gate, the time required for transverse velocity to meet navigational requirements is less for each scheme.
Application of Digital Monitoring System of Stone Column Piles in Airport Construction
Authors: Zou Tingnian , Wang Jin , Dong Li , Chen Fengchen 
Published: February 2021

Abstract
On the background of airfield engineering of Chengdu Tianfu International Airport, firstly, the paper introduces the construction method of vibrated stone column piles and explains its importance in foundation treatment. Secondly, it describes the basic concept of vibrated stone column piles and the digital monitoring system, and mainly describes the system function of the digital monitoring system. Thirdly, it shows that the system is fully installed and used in the construction of the airport. Finally, we analyzed the collected real data to testify our opinion that the system can optimize management level, ensure and improve the quality of the airport construction.
Indoor Property Flood damage Assessment and Insurance for Residential Buildings based on HAZUS -- A case study of Mayangxi River Basin
Authors: Deng Nan , Wang Xiao , Yang Ying 
Published: February 2021

Abstract
The flood disaster is one of the most common natural disasters in China, and the indoor property loss of residents is huge every year due to the flood. Therefore, it is of great significance to study the evaluation of the indoor property flood loss of residential buildings. Based on HAZUS flood loss assessment method, this paper reclassifies the residential buildings in China according to the number of households. The post-disaster loss data and household income level were used to establish the depth-loss percentage function. It provides an important method for the rapid evaluation of the loss after disaster in this area. In order to transfer the risk of flood loss of indoor property of residents in Mayangxi River Basin, an insurance scheme is designed, which provides an important idea for disaster prevention and mitigation in similar areas.
Statistical Analysis and Risk control of Civil Engineering Safety Management Accidents
Authors: Chen Yijiao 
Published: February 2021

AbstractThe management of civil construction safety must start from understanding the causes of construction safety accidents. For this reason, experts and scholars at home and abroad have conducted a lot of investigation and research, and have come up with a series of good analysis theories of the causes of construction safety accidents. This article aims to study the statistical analysis and risk control of civil construction safety management accidents. This paper is based on the safety risk assessment model of construction projects, and uses it to discover potential construction risk factors. The experiment in this paper mainly USES statistical analysis method to estimate the probability of each possible event by observing the occurrence times of each potential construction safety risk. Experimental data shows that construction safety risks are mainly caused by certain uncertain reasons during the construction process, and then the future state of the construction of the project can be accurately judged based on historical data or statistical data. The results show that after the classification of 400 accidents occurred in the investigation area, 150 of them fell from high places and 140 people died. 87 electric shocks, 75 deaths; 73 collapses, 65 deaths; Objects struck 38 times, killing 22 people; 43 mechanical injuries, 36 persons. It is the government’s responsibility to reduce construction safety and quality accidents, and it is also the minimum requirement of construction enterprises. The safety issues of civil construction must be strictly managed.
Numerical Simulation of the flow Past a Passenger Cable Car
Authors: Ma Zhe , Zhang Hongfu , Xin Dabo 
Published: February 2021

Abstract
In this paper, a numerical calculation method based on CFD is proposed to calculate the force and analyze the flow field of the cable car in static state. When the wind attack angle and the wind deflection angle are both 0°and the wind speed is 10m/s, the drag coefficient of the cable car is calculated by numerical simulation to be 0.77, which is consistent with the experimental results. Vortices with different sizes and intensities were observed on the lateral, upper and lower sides, and behind the cable car. The positions of the vortices correspond to the positions of the negative pressure zone.
Safety risk Assessment for Construction of Highway on Plateau Mountainous
Authors: Tian Jian , Li Zhiqiang , Xi Jianfeng 
Published: February 2021

Abstract
Under the condition of high altitude and complicated geological environment, lots of risks existing in the process of highway construction, how to control effectively safety risk has become the serious problem. Taking the construction project of Sichuan-Tibet highway as an example, combining with regional environment, safety risk indicators of construction project for plateau mountain highway is constructed. Method of construction safety risk assessment for plateau mountain highway is established. The feasibility of the evaluation method is verified by a case, and corresponding risk control measures are put forward.
Integrated energy system planning of distribution network considering load timing coupling characteristics
Authors: Hu Zhiyun , Cao Qian , Zhang Ruilong , Zhou Honglian , Wang Wei , Du Zunsheng 
Published: February 2021

Abstract
The integrated energy system can effectively improve energy utilization and reduce environmental pollution. Existing research mainly focuses on the equipment type, capacity and optimal configuration of the pipeline network of the integrated energy system in the microgrid. However, there are few studies on the planning of integrated energy systems at the distribution network level. Therefore, under the condition of fully considering the time-series coupling characteristics of the cooling and heating load, a mathematical model of the integrated energy system planning of the distribution network is established in this article. A method of planning and solving the integrated energy system of the distribution network based on the K-means clustering algorithm is proposed to realize the coordinated planning of multiple integrated energy stations in the distribution network. An example of distribution network in Xinjiang region verifies the rationality and effectiveness of the proposed method.
Research on Suppression Method of Power Noise in the Stability Test Device
Authors: Huang Junhao , Fang Fang , Wang Zhihua , Hang Mingxuan , Wang Yibo , Chen Yong 
Published: February 2021

Abstract
The static tester has simultaneous output of multiple voltage and current sources, and supports multiple communication interfaces such as GPS (Global Positioning System),the functional characteristics of the statility test device determine its high demands for power supply noise and radiation. Aiming at the specific requirements for power supply system in the main functional modules of statility test device, the operating principle of switching power supply is analyzed, the generation and transmission mode of power supply noise are studied. Under the condition of ensuring the analog output accuracy and communication statility of the test device, the noise of the switch and the rectifier circuit is reduced, and the influence of the distributed capacitance is minimized to achieve the purpose of suppressing the noise of the switching power supply.
Probabilistic Energy Flow Analysis for Integrated Energy Systems Considering Correlated Uncertainties
Authors: Yuan Xu , Haifeng Cen , Tao Li , Wu C.Q. , Zheng J. H. 
Published: February 2021

Abstract
The integrated energy systems (IES) contain various energy sub-systems, thus uncertainties of one sub-system will not only threaten its own safety operation but also be likely to have a significant impact on the operation of other sub-systems. Therefore, it is of great significance to study the variation of state variables when random fluctuations emerge in the IES. This paper proposes a unified steady state probabilistic energy flow (PEF) analysis for the IES considering the correlated uncertainties. Firstly, a Latin hypercube sampling with inverse Nataf transformation is developed to deal with correlated uncertainties of the IES. Furthermore, in order to solve the PEF problem, a unified method, Newton-Raphson embedded with Newton Downhill technique, is proposed to accelerate the iteration and improve the computation efficiency. The effectiveness of the proposed PEF analysis method is verified by a set of test results conducted on an IES composed of the IEEE 118-bus system coupled with 15-natural gas system and 32-district heating system.
Research on energy autonomy system design of field patrol car based on solar energy
Authors: Wenlan Wang , Xionghuai Bai , Xiuling Wang 
Published: February 2021

Abstract
The Inner Mongolia Autonomous Region has abundant solar energy and electric power resources. Due to the long distance between cities, the transmission lines are too long, which leads to difficulties in line inspection. To overcome the problem of line inspection, a field patrol car using solar energy is studied in this paper, the energy system of which can complete the charge and discharge independently and then realize the inspection task.Revolving around the energy autonomy of solar-energy field inspection vehicle, this paper first selects the appropriate components and builds the energy-autonomy inspection system of the patrol car, according to its design requirements. Then the solar tracking algorithm and MPPT control algorithm are used to improve the conversion rate of solar panels, so that the fast charging can be realized. Finally, the hardware and software of the solar controller are designed, and the corresponding functions are debugged.
Research and Design of Aviation Active Power Filter Based on DSP
Authors: Shuang Wang Xiao , Fu Wang Ji , Yan Zhao Hai , Jing Zhao 
Published: February 2021

Abstract
As the application of power electronic devices in aviation power system become more and more widely, the harmonic and reactive power problems are becoming more and more serious. Active power filter has become an important research direction of power electronics technology. In this paper, the harmonic harm and harmonic suppression methods are briefly described. Then the software and hardware of APF are designed. Finally, the system is simulated by Simulink, which proves the rapidity and accuracy of harmonic and reactive current detection and compensation.
A vulnerability scanning scheme based on attack graph for smart grid industrial control system
Authors: Xu Kai , Wang Xiangqun , Xu Hao , Dong Ning , Han Meng , Zhou Xianfei 
Published: February 2021

Abstract
As the core of national development, smart grid industrial control system has extremely high security requirements. However, due to the existence of many security vulnerabilities and lack of effective security protection measures, it is vulnerable to attacks from the Internet. Therefore, the vulnerability scanning of smart grid ICS has important research significance. Aiming at the problem that the smart grid ICS cannot bear the heavy system overhead, a safe and low system overhead vulnerability scanning scheme for smart grid ICS is innovatively proposed. This scheme introduces attack graph technology into vulnerability scanning, proposes vulnerability risk assessment indicators, and flexibly designs the scanning cycle according to the generated attack graph. Simulation results show that this scheme effectively reduces scanning costs while ensuring system security, and is better adapted to smart grid ICS.
A new high-precision Fourier frequency measurement algorithm based on modified sampling sequence
Authors: Ju Jingjing , Han Guozheng 
Published: February 2021

Abstract
Aiming at the accuracy of frequency measurement algorithms in power systems, this paper proposes a new high-precision Fourier frequency measurement algorithm based on modified sampling sequence. Through the improvement of the traditional Fourier algorithm, the theoretical error of the traditional algorithm is eliminated and the speed of the algorithm is improved. By modifying the sampling sequence and iterative methods, the original sampling sequence is as close to the ideal sequence as possible, so that the sampling frequency and the fundamental frequency of the system tend to be synchronized, thereby reducing the problem of spectrum leakage and the fence effect. Through simulation analysis, the algorithm effectively improves the frequency measurement accuracy.
Fast Calculation of Steady-state Voltage in Power System Based on Monte Carlo and Deep Learning
Authors: Zhou Ting , Xu Xiaochun , Li Jianyi , Xu Xian , Li Peng , Shi Wen , Wang Jiahao 
Published: February 2021

Abstract
It is of great significance to calculate the steady-state voltage of the power grid including the access of complex distributed power sources. To solve the problems of strong intermittent and high volatility of existing wind turbines, photovoltaics and other new energy sources, this paper generates a large number of section data in different scenarios according to the integrated probability model, and uses large data sets to train deep learning models. The steady-state voltage of each node is calculated for the distribution network under different scenarios in the IEEE 39-node system. The results of the calculation example show that the deep learning model trained by the proposed method can achieve 98% accuracy with less time of calculation. It is suitable for calculating the steady-state voltage of the large-scale complex power system.
Approximate Dynamic Programming of Long Term Power Generation Schedule
Authors: Liang Zhencheng , Li Yiming , Zhuo Yixin , Su YinSheng 
Published: February 2021

Abstract
With respect to the features in optimal scheduling of long-term power generation such as long cycle, large scale and strong randomness, the paper proposed a multi-stage optimized decision model based on approximate dynamic programming. In this model, the influence of random variables including load, fuel price, and water was tested by means of stochastic simulations. Staged solution was used to reduce the size and difficulty of solving the problem. The proposed value function approximation strategy of pondage and coal inventory solved the "curse of dimensionality" in staged recursion and maintained the overall optimization characteristics after staged decomposition. Through the iterative update between the decision and the approximation function, the approximate optimal decision sequence was solved to obtain the optimization scheme of power generation scheduling. The calculation and analysis results in a real system in some province showed that the modeling by approximate dynamic programming is an effective way to solve such large-scale optimization and has a promising future by virtue of its conciseness, effectiveness, convenience in dealing with random factors, high calculation accuracy and rapidity of solution.
A Golden Section-based Double Population Genetic Algorithm Applied to Reactive Power Optimization
Authors: Wang Zhongyong , Xu Yingjing 
Published: February 2021

Abstract
In this paper, a more effective method-the improved double population genetic algorithm is applied to reactive power optimization. The proposed algorithm is aimed at optimization strategy which makes the population exploit in new space successively. Premature convergence and weak local optimization are two key problems existing in the conventional genetic algorithm. Based on the golden section, the double population genetic algorithm (DPGA) is optimized and applied to the reactive power optimization in power system. Numerical simulation results demonstrate the validity of the proposed design algorithm.
Equivalent Model of Active Distribution Network Considering Uncertainties of Wind Turbines, Photovoltaics and Loads
Authors: Wei Qianlong , Zheng Jiehui , Tang Wenhu , Wu Q. H. 
Published: February 2021

Abstract
With the integration of large-scale distributed renewable energy, the model of active distribution network (ADN) becomes more complicated. This paper proposes an equivalent ADN model considering the uncertainties of wind turbines, photovoltaic (PV) systems and loads. The model output is composed of deterministic and uncertain components. First, the model of wind turbines, PV systems and loads are developed to describe the deterministic components and the Gaussian probability density model is used to describe the uncertain components. Then, model parameters are optimized using a reinforcement learning algorithm to track the time-varying equivalent wind turbines, PV systems and loads. Finally, case studies are carried out on a 63-bus distribution network. Simulation results demonstrate that errors of power flow calculation of the equivalent ADN model are reduced in the case that the uncertainties of wind turbines, PV systems and loads are considered.
Thoughts on the Development of Molybdenum Beneficiation Technology
Authors: Kang Jian Xiong , Li Xin Kuan 
Published: February 2021

Abstract
Currently, the speed of national economic development is accelerating, and the level of science and technology has also been significantly improved, and the demand for molybdenum in modern industrial production has increased accordingly. With the large-scale extraction of molybdenum resources, the amount of molybdenum resources stored is constantly decreasing. For this reason, the optimization and innovation of molybdenum ore beneficiation technology is very important to improve the utilization of molybdenum ore resources and provide necessary assistance for the sustainable development of the modern mineral industry. Based on this, the paper takes molybdenum ore as the main research topic with focus on the development of the beneficiation process in hope of helping related communities.
Fault Characteristic Analysis of Pole-to-Ground Fault in DC Side of Energy Router in Interacted and Interconnected Micro Grid
Authors: Sang Zi-xia , Zhang Dong-yin , Fang Reng-cun , Yan Jiong , Huang Jia-qi , Lei He 
Published: February 2021

Abstract
This paper takes the AC / DC interconnected system based on DAB energy router as the research object, analyzes the fault characteristics of AC side and DC side in detail, compares and analyzes the influence of DAB energy router on fault characteristics in the system with different grounding methods of DC capacitor midpoint in converter station, and explores the mechanism of interaction between AC and DC sides. The effect of dab on the interaction of AC and DC side faults under different fault types and capacitor neutral grounding modes is analyzed. Finally, the method of post fault system partition and fault analysis is proposed, which lays a theoretical foundation for fault detection and rapid location of AC / DC hybrid distribution system, and provides theoretical support for system equipment selection.
Research on Feature Extraction Method of Converter Transformer Vibration Signal Based on Markov Transition Field
Authors: Wang Pengfei , Yu Gang , Wu Huafeng , Zhang Zhanlong , Xiao Rui 
Published: February 2021

Abstract
In view of the high complexity of the vibration signal of the converter transformer and the large amount of data, the construction of the feature extraction model of the converter transformer based on the vibration signal is difficult and the accuracy is not high. This paper proposes a feature extraction model of commutation vibratiob signals based on Markov transition field and residual convolutional neural network. This paper first divides the interval according to the signal amplitude and calculates its Markov transition field matrix, and then obtains the two-dimensional representation of the one-dimensional vibration signal by calculating the Markov transition field matrix through the transition matrix. Finally, the feature extraction of the vibration map is performed through the residual convolutional neural network. Analysis of the actual measured data at the converter station shows that the average working condition recognition accuracy of the model in this paper reaches 93.1%. It is better than classic time series processing networks such as long and short-term memory networks and one-dimensional convolutional neural networks. It solves the problem of difficulty in building and training long vector deep learning networks by constructing two-dimensional representations of one-dimensional vectors. It is based on commutation The research on fault detection methods of variable vibration signals provides the basis.
Fault Zone Location Based on Transient Phase Current and Zero Mode Current
Authors: Wang Xiaowei , Ji Xingquan , Zhang Yumin , Song Qiang 
Published: February 2021

Abstract
To solve the problems of inaccurate location caused by unsynchronized measurement signals, high impedance grounding, and strong noise interference, in this paper, a novel fault location method based on the relationship between transient zero-mode current and transient phase current is proposed. Through analysis, the zero phenomenon is the main cause of misjudgment. The three-phase current of fault feeder detection point is obtained, the similarity between fault phase current and fault transient zero-mode current is calculated, and the segment location is conducted by using dichotomy method. Numerical simulation results demonstrate the effectiveness of the proposed method. This method can greatly reduce the probability of misjudgment and measurement difficulties, and improve detection efficiency.
Analysis and Research on the Comprehensive New Index of Bursting Liabilitys in Yima Coalfield
Authors: Yi Enbing 
Published: February 2021

Abstract
Aiming at the phenomenon that the impact energy index, the elastic energy index and the dynamic failure time are contradictory in the process of the impact tendency identification experiment, it is impossible to accurately distinguish the strength of impact tendency. This paper adopts the method of principal components analysis to confirm indexes weight and makes full use of experimental data, and a preliminary judgement is made that the value of the samples more than 0 is strong bump proneness, the other is weak bump proneness. The result agrees with the coal seam bump proneness of practical situation in Yima coalfield, namely strong bump proneness in Yima coalfield. The method of comprehensive new principal components analysis will judge the bump proneness very well and provides a new method to judge the bump proneness.