bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Energy-saving Operation Optimization of Urban Rail Transit Trains
Authors: Zhang Jiao , Li Yujie , Li Bin , Liang Yong
Published: June 2020

In order to better realize the energy saving operation of urban rail transit trains, considering the use of regenerative braking energy has become the focus of current academic research. Train timetable optimization, energy storage system recovery, and inverter system feedback are the main technical means to achieve it. At present, train operation chart optimization is mainly divided into static timetable optimization and dynamic timetable optimization. The energy storage system recovery includes super capacitor type, battery type and flywheel type energy storage device. This paper introduces three technical methods based on the use of regenerative braking energy, and compares the advantages and disadvantages of different energy storage and recovery devices, and finally come to a conclusion.
Risk Control of Karst Collapse----A Case Study of Linyi City
Authors: Yao Chunmei , Yang Can , Yang Quancheng , Li Zhuang
Published: June 2020

Karst collapse is a common geological disaster, and groundwater level is the main influencing factor of karst collapse in Linyi City. This article uses the established groundwater flow model to propose a method for controlling karst collapse: to make the karst water level not lower than the control level. Based on this method, three different groundwater extraction schemes were designed in the study area, and calculation analysis was performed in conjunction with water level control points. The results show that in the future, the amount of karst water exploitation in the urban area of Linyi City will be reduced by 11.65×104m3/d compared with the current situation, The reduced groundwater volume will be solved by the surface water project of the Andi reservoir in Linyi City, which can control the danger of karst collapse.
Application and Research of Urban Building Construction Technology Based on the Concept of Environmental Protection
Authors: Lu Zhengyan
Published: June 2020

The construction phase of a house building is the most important stage in building engineering, and it is also the concentrated stage of resource consumption and environmental pollution. The environmental pollution caused by building construction mainly comes from: solid waste, liquid waste, and gas waste during construction. At the construction site, relevant personnel have a weak awareness of energy saving and consumption reduction, and they often ignore the waste of resources during construction. The article focuses on the analysis and research of building construction technology related issues from the perspective of environmental protection. Firstly, the main characteristics of building construction technology under environmental protection are studied. Then, from the perspective of environmental protection, the technical points of building construction are discussed. Finally, with the sustainable development of building construction as the starting point, some suggestions and suggestions are given for the promotion and development of building construction technology.
Research on Prediction of China’s Total Energy Production Based on MCMC Method
Authors: Gao Chunjiao
Published: June 2020

Based on the application of Bayesian method in parameter estimation and combined with posterior distribution, this paper proposes a reasonable prior distribution. This paper applies the total energy production of China for empirical analysis in the past 20 years. Firstly, the data are processed into stable data, and then the model is determined. Finally, the parameters of the model are estimated by MCMC method, and the posterior distribution diagram and 95% confidence interval of the parameters of ARIMA model are obtained.
Research and Development of Coal Mine Disaster Prevention and Rescue Drill Platform Based on VR Virtual Reality Technology
Authors: Meng Long
Published: June 2020

In order to improve the disaster rescue ability of coal mine rescue teams and enhance the effectiveness of daily training, based on the Unity3D virtual reality development platform, combined with rescue drill content, a framework for implementing a coal mine rescue virtual simulation drill system is designed. Use high-quality modelling technology to establish rescue models and scenarios. Based on database data management, research a multi-person collaborative coal mine rescue drill system based on the real environment of the mine and the evolution scenario of disaster accidents. Through training in realistic disaster accident scenarios, it can be enhanced Trainees’ sense of presence improves the response speed, emergency handling and commanding capabilities of on-site operations, rescue, coal mine emergency commanders.
Experimental Study on Seismic Performance of Collet Tenon
Authors: Yang Tianzhi
Published: June 2020

In Southeast Asia, the frequent occurrence of earthquakes makes the earthquake relief work after the earthquake extremely important. How to provide the simple ward and temporary residence in the shortest time is an urgent problem. In this experiment, a vibration platform equipped with two ranging sensors and two position five-way valve is built to simulate the actual earthquake situation. Place a tenon and mortise structure building and a control building on the shaking table. In addition to the building connection style, ensure that the other parameters of the two buildings are consistent. The Arduino design program is used to change the vibration frequency of the vibration platform and record the deformation degree of the building under different frequencies. The experimental result shows that compared with modern building, the seismic performance of tenon and mortise structure buildings is more prominent.
Research on the Response Relation of Acoustic Logging in Fractured Reservoirs
Authors: Hu Song , Li Anni , Zhang Xiaoting , Jin Wujun , Lu Jing
Published: June 2020

Based on Hudson equivalent medium model and Schoenberg linear sliding model theory, a fracture equivalent medium model suitable for sonic logging is proposed, and the equivalent elastic parameter expression of the inclined fracture is derived. Using the established equivalent medium model, the effects of fracture density, width, dip angle and fillings on formation P-wave velocity and anisotropy information obtained from sonic logging were studied, which provides a theoretical basis for evaluating fractured formations using acoustic logging data.
Graph Wavelet Long Short-Term Memory Neural Network: A Novel Spatial-Temporal Network for Traffic Prediction
Authors: Wu Qiong , Fu Qin , Nie Mingxin
Published: June 2020

Timely accurate traffic prediction is important in the Intelligent Traffic System (ITS). It has time-varying traffic patterns and the complicated spatial dependencies on traffic network topology which makes the prediction challenging. In this paper, we propose a novel deep learning framework—Graph Wavelet Long Short-Term Memory Neural Network (GWNN-LSTM) to capture the spatial and temporal dependence simultaneously. Moreover, Graph Wavelet Neural Network (GWNN) is utilized for spatial correlations and Long Short-Term Memory Neural Network (LSTM) is used to capture the dynamic temporal correlations in traffic time series data. Experiments on real-world datasets from loop detectors in the highway of Los Angeles County (METR-LA) demonstrate that the proposed GWNN-LSTM model outperforms the state-of-the-art baselines.
Mathematical Modeling and Simulation of Aviation 1553B Bus Based on Parameter Identification
Authors: Li Yao , Jia QingZhong , Zhao Yong , Song JianMei
Published: June 2020

On the basis of the transmission line theory, combined with the characteristics of 1553B bus and its structures, distribution parameters of the equivalent differential circuit, the damage was deduced uniformly arbitrary input output response of the 1553B bus, propagation constant matrix, characteristic impedance matrix and transfer function matrix, established the mathematical model of cable frequency domain after cleverly simplified model, and with the test data in matlab by means of parameter identification, to estimate the parameters of cable, eventually have to close to the real value of nondestructive line mathematical models, and to the related parameters to build simulation model to do simulation experiment, the experimental results show the correctness of the mathematical model, It provides reference for the research of 1553B bus.
Research and Practice on Effective Path of Enterprise Participation in Vocational Education
Authors: Liang Hu
Published: June 2020

The participation of enterprises in vocational education is the essential return of vocational education. The article combines the actual situation of Chinese enterprises to participate in vocational education, through the summary of the history and actual experience of the developed countries that have been successful in participating in vocational education, and sorts out the difficulties faced by Chinese enterprises in participating in vocational education, based on the existing research of many scholars. It proposes an effective path for enterprises to participate in vocational education and practice it.
Study on Energy Recovery Performance of Linear Active Heave Compensation System
Authors: Yu Hui , Wang Wenkai , Li Shizhen , Liu Yanjun , Ji Chen , Gong Liangkui , Fan Ke
Published: June 2020

In order to verify the feasibility of the energy recovery of the linear active heave compensation device under the descent compensation condition, the author established a schematic diagram of the hydraulic system based on the heave compensation principle, performed a simulation analysis of the hydraulic system model in a cycle, analysed energy loss of the system under specific sea conditions. Therefore, it is concluded that the gravity potential energy of the load under the descent compensation condition has great potential for recovery. Based on the results of the demonstration, the article proposes an electro-hydraulic energy recovery system of the linear active heave compensation device based on a hydraulic motor-generator. The system model is simulated and analysed in a single cycle under standard operating conditions. The results show that: When the system parameters match reasonably, the heave compensation device has a higher compensation accuracy. The energy recovery rate of the system under the down compensation condition reaches 21.6%, and the effect of energy saving is great. At the same time, simulation analysis shows that under the premise of ensuring the compensation accuracy, changes in the quantitative motor displacement and the viscous friction coefficient of the generator will affect the energy recovery efficiency to varying degrees.
Dynamic Analysis and Simulation of Six-Axis Cooperative Robot Based on Screw Theory
Authors: Zheng Chengpu , Han Kang , Bao Jialei , Wen Weigang , Sun Kai
Published: June 2020

In order to realize the precise control of the cooperative robot, it is necessary to establish an accurate dynamic model of the robot. Compared with traditional industrial robots, cooperative robots have joint flexibility effect, so joint flexibility should be taken into account when building dynamic model. In this paper, the six-axis cooperative robot is taken as the research object. The dynamic model of the robot is modeled and analyzed by Newton-Euler method based on screw theory. and the dynamic simulation of the robot is carried out based on Simulink and SimMechanics simulation platform, and the relevant performance curves are obtained. The simulation results verify the validity of the dynamic theoretical model.
Research on Monitoring of Coal Mine Shaft Deformation Based on Fiber Grating Technology
Authors: Wang Dong , Yang Wanlin
Published: June 2020

As one of the most important production resources, coal has a huge demand. China is the country with the largest amount of coal mining and export in the world. Coal mines are widely distributed throughout the country. A large number of coal mines have a long service life and damage accidents occur from time to time. Affecting the daily production of the mine, not only caused a lot of economic losses, but also hidden dangers of safety accidents. The optical fiber method applied to the deformation monitoring of the mine shaft can better adapt to the complex working environment under the mine, which is the current trend of scientific and technological development and also meets the requirements of the modernization and information industry.
Research on temperature control system of distillation column based on ABC-PID
Authors: Wang Zaiying , Huang He
Published: June 2020

The existence of non-linearity and variable parameters in distillation column system makes it difficult to tune the parameters of PID controller in its control system. The artificial bee colony algorithm is applied to the temperature control system of distillation column to optimize the PID parameters. The specific process of optimizing PID parameters based on artificial bee colony algorithm is put forward. PID controller optimized by artificial bee colony algorithm and traditional PID controller are separately used to control temperature coupling system of distillation column. The performance comparison and analysis are carried out by simulation. The results show that the temperature response curve of the PID controller based on artificial bee colony algorithm has smaller overshoot and the system has better robustness, verified the superiority of the artificial bee colony algorithm in optimizing the PID controller of distillation column.
Research on Separation Phase of Ground Launching of UAV
Authors: Chen Binqi , Wang Yiding
Published: June 2020

Grand lauching of UAV is a potential technology which will greatly improve effectiveness and application rang of UAV. Rocket booster grand lauching is a technology which has a high degree of difficulty and multiple influence factors. Chimera mesh method and relevant CFD method are applied to ensure the successful performance of 6DOF motion body simulations of booster rocket separation phase so that aerodynamic characteristics of UAV and booster rocket in the separation phase can be revealed. The error and precision of the simulations are then analyzed and conclusions concerning UAV aeroforce and moment variation are drawn. Finally, the feasibility and safety of separantion design in this thesis are testified.
A Review of Bionic Design in Satellite Solar Wing Structures
Authors: He Junwei , Zhang Yasheng , Shangguan Zeyin , Yang Lu
Published: June 2020

This article summarizes the development process and trend of satellite solar wings from the perspective of structural design. At the same time, it summarizes the research on the deployment mechanism based on the principle of bionics. The results show that the expansion mechanism exhibited by natural organisms has natural advantages in terms of folding optimization and smoothness of the unfolding process. It has important reference significance for the structural design of space folding mechanism such as satellite solar wings.
Main Controlling Factors for the High Production of Tectono-Stratigraphic Reservoirs in Continental Down-Faulted Basin
Authors: Liu He , Li Junhui , Deng Hai , Chen Fangju , Li Yue
Published: June 2020

Huoduomoer structural zone is one of the most favorable oil and gas accumulation zones in Beier depression of Hailaer basin. However, the exploration in this zone has experienced a long and tortuous process, and the exploration is almost stagnant until the natural production capacity of well x1 has obtained daily output of 472m3, which has achieved a major breakthrough in the exploration of tectono-stratigraphic and stratigraphic unconformity reservoirs in this structural zone. Based on the comprehensive study of the subdivided layers of the structural belt, this paper holds that the Nantun Formation suffered from long-term denudation after deposition, the Nantun Formation at the high part of the uplift belt was denuded completely, and the remaining Nantun Formation at the periclinal area was the main target layer for exploration. Based on the analysis of the main controlling factors of hydrocarbon accumulation, it is considered that feldspar lithic sandstone and lithic sandstone mainly developed in the subaqueous distributary channel deposition of braided river delta front are easy to be leached and eroded, forming high-quality reservoir with secondary porosity near the unconformity surface, and the multi-direction oil and gas migration system is the key to the oil and gas accumulation; the stable and thick mudstone deposition in the large section provides a good sealing condition for traps.
Study on the Natural Gas Consumption and its Change Prediction
Authors: Ye Zhanghuang
Published: June 2020

The global total natural gas consumption has risen to 3.67 trillion cubic meters in 2017 according to BP statistics. It is predicted that natural gas will be “the first one” in all primary energy before 2040. The global natural gas demand is expected to reach 4.9 trillion cubic meters respectively in 2040, accounting for 26.9% in the total primary energy consumption. The natural gas consumption analysis shows that the total consumption in the top twelve natural gas consumption countries accounts for 64.5% of the global. The natural gas consumption in America and Russia exceeded one third of the world in 2015. The gas consumption in BRICS (Brazil, Russia, India, and China and South Africa) has risen dramatically since 1980s. After 1990s, the consumption in the Asia-Pacific region has been on the rise, and the cumulative increment took the first place from 1975 to 2015. The Asia-Pacific region is expected to be the new global consumption center after Europe and America. From the point of per capita consumption, North America, the Middle East and former Soviet Union with rich natural gas resources have exceeded to 2 tons of oil equivalent, nevertheless, the less-developed regions such as Asia-Africa-Latin America are below 0.5 ton of oil equivalent. The gas natural consumption in none-OECD countries exceeded that of OECD in 2007, and the gap has increased year by year. However, the per capita consumption of natural gas in OECD is 5.2 times of Non-OECD. The consumption pattern is mainly influenced by economy development, if natural gas production pattern by resource endowment.
Accuracy Analysis of RV Reducer Eccentric Shaft Follow-Up Grinder
Authors: Fan Jinwei , Tao Haohao , Wang Peitong
Published: June 2020

Eccentric shaft follow-up grinder is the core equipment in the process chain of eccentric shaft machining. In the process of grinding, the establishment of the kinematic model and the determination of the kinematic relationship of the C-X axis follow-up grinding directly affect the quality of the grinding process, and there are many error factors in the grinding process. It is very important to analyze the influence law of these factors on the quality of the workpiece. Through the mechanism of the error in the process of machining, which is caused by the change of X coordinate position, head frame rotation and wheel center eccentricity, the geometric relationship is established to solve the problem. The MATLAB simulation is carried out to find out the source of the error, so as to lay the foundation for the subsequent error compensation and achieve the purpose of improving the machining accuracy.
Research on Optimal Design and Practical Application of Electric Vehicle Wireless Charging Technology
Authors: Chen Nuo , Wang Zhen , Guo Yanan
Published: June 2020

Electric vehicles are a further development of wireless charging technology and a promising application area. This method can take into account the user’s charging satisfaction and the load pressure of the charging road, while meeting the requirements of power supply cost and power supply stability. This article introduces the research progress and application of wireless charging technology at home and abroad, then introduces the classification of wireless power transmission technology in detail, and then introduces the structure of the wireless power transmission system of electric vehicles in detail. Simulation results of the wireless charging technology of the car show that the advancement of charging technology will lead to the further development of new energy electric vehicles in the future. This article describes the development of new energy electric vehicle charging technology in recent years, and puts forward the development direction and development suggestions of new energy electric vehicle charging technology.
Research on Marine Diesel Engine Fault Diagnosis Based on the Manifold Learning and ELM
Authors: Shao Mingqi , Wang Jin , Wang Sibo
Published: June 2020

As the core equipment of marine power system, the operation state of marine diesel engine has a direct impact on the safe navigation of the whole ship. In order to extract fault features from vibration signals of diesel engine more comprehensively, a new fault diagnosis method is proposed based on the advantages of feature fusion and manifold learning algorithm in dealing with nonlinear data. The manifold learning method is used for feature extraction. Through this method, the vibration signal of diesel engine is extracted, and the feasibility and superiority of this method are verified from the perspective of three-dimensional visualization. The extracted features are input into the elm model to identify the working condition of marine diesel engine. Experimental results show that the proposed method can achieve real-time fault diagnosis with high classification accuracy.
Study on The Influence of Negative Temperature Gradient of U-shaped Girder of Rail Transit in Winter
Authors: Dong Xu , Sun Guofu , Xu Gangnian
Published: June 2020

To study the influence of negative temperature gradient of U-shaped girder of rail transit in winter season, a U-shaped rail transit girder was researched in Qingdao. The temperature self-stress of the mid-span section were observed for a 48-h period during the winter. The temperature stress were obtained which caused by vertical and transverse temperature gradient at maximum temperature difference time. The temperature effects caused by different temperature gradient models were analyzed and compared with actual results using a finite element model. The results show that, given the temperature effect, the compressive stress of the mid span section of the structure is small, the web and bottom slab have a greater longitudinal tensile stress which should be considered in the design.
Design of a Multimode OAM Vortex Electromagnetic Microstrip Array Antenna
Authors: Mao Pengrong , Gao Canguan
Published: June 2020

On the basis of the characteristics of electromagnetic wave orbital angular momentum can improve spectrum efficiency, this paper proposes a low profile, more OAM models design of antenna. The antenna subject selection is made of glass fiber epoxy resin substrate, using phased array feed technology under the condition of the limited antenna unit number achieved by each antenna feed different phase excitation. By adjusting the position of the feeding point, the matching of the input impedance of the antenna is improved and the optimal structure of the antenna is determined. The simulation results show that the antenna achieves good impedance matching at the center frequency of 2.45GHz and generates 7 kinds of vortex electromagnetic beams with different OAM modes. The antenna has the characteristics of small size, light weight and low profile, which provides a novel antenna structure for the design of communication terminal antenna array.
Design and Research of a New Type of Semi-Automatic Winding Seedling Packaging Machine
Authors: Jiang Keyue , Qiu Yukun , Qian Yizhen
Published: June 2020

The current seedling packaging industry has the problems of cumbersome packaging process and low packaging efficiency. This phenomenon does not correspond to the high throughput and efficient packaging efficiency of seedling network marketing under the background of the existing Internet big data era, and the slow efficiency is seriously hindered. The rapid development of the seedling industry. In response to this problem, this paper made in-depth research and found that the seedling packaging occasions are mostly outdoor, there are problems such as power supply inconvenience. This paper designed a semi-automatic seedling packaging machine driven by artificial power, which is powered by human footsteps. The four-bar mechanism transmits the foot power, the hand wheel on the machine rotates to realize the clamping and fixing of the seedlings, and finally the gear train of the machine cooperates with the timing belt to provide the bidirectional winding power, and the upper and lower gears in the device drive the incomplete gear mechanism. Provides non-equal speed movement to achieve the winding and cutting of seedling wrap film. The Samsung wheel reversing mechanism can convert the winding method to realize the fast and complete winding of some seedlings (10cm-30cm), effectively improve the packaging efficiency, and enable the seedling network dealers to better adapt to the contemporary network business model. And provide technical reference for the research and design of similar products.
Infrared and Visible Image Fusion Based on Gradient Reconstruction
Authors: Lei Zhen , Huang Yanyan , Cui Peizhi
Published: June 2020

A fusion method of infrared and visible image based on gradient reconstruction is proposed. Firstly, the structure tensor of infrared image and visible image is pre fused, and then the pre fused image is re fused based on gradient reconstruction and Poisson equation to get the final fusion image. The experimental results show that the method is effective, and the fusion image can synthesize better target feature information of infrared image and scene detail information of visible image, which has better performance than other image fusion methods
Research on Taper Detection Method of Roller for Belt Conveyor
Authors: Yu Cheng , Liu Yulang , Yang Qihua
Published: June 2020

The taper of the roller’s body is closely related to the self-correcting efficiency of belt deviation and the reliability of roller operation on belt conveyor. Due to the installation structure of roller, it is difficult to evaluate the taper of roller by manual multi-point detection and comprehensive analysis. In this paper, the taper correlation index is defined based on outer cylindrical surface of roller and designed the automatic detection method. The error processing model of data is established according to actual tooling conditions for testing and the realization scheme of sensor detection. The feasibility of the design method is verified by testing the standard roller.
Current Situation and Application Prospect of Energy Storage Technology
Authors: Liu Ping , Wu Fayuan , Tang Jinhui , Liu Xiaolei , Dai Xiaomin
Published: June 2020

The application of energy storage technology can improve the operational stability, safety and economy of the power grid, promote large-scale access to renewable energy, and increase the proportion of clean energy power generation. This paper reviews the various forms of energy storage technology, compares the characteristics of various energy storage technologies and their applications, analyzes the application status of energy storage technology, and prospects the application prospects of various energy storage technologies.
Research on the impact of different charge and discharge modes of electric vehicles on power grid load
Authors: Wen Wen , Wang Lifang , Zhu Mengdi , Peng Zhou , Yao Fangling
Published: June 2020

The rapid development of the economy has made the scarcity of traditional fossil energy increasingly prominent. At the same time, with the proposal of the beautiful China strategy, electric vehicles have become an important choice for people to travel. Different charging and discharging modes of electric vehicles have different impacts on the power grid load production. Reasonably controlling the impact of electric vehicle charging and discharging loads on the power grid, narrowing the peak-to-valley difference, and ensuring the reliability of grid operation have become urgent issues to be resolved. This paper selects electric private cars and electric buses that have a large effect on the power grid load as the research object, and uses qualitative and quantitative research methods to extract the main influencing factors of electric vehicle charge and discharge. A charge and discharge daily load calculation model for electric vehicles under three modes of disorderly charging, one-way ordered charging and bidirectional ordered charging and discharging was constructed, and a typical Tianjin electric vehicle charging behavior research sample was selected. Monte Carlo method was used to predict the daily load of Tianjin electric vehicles under three charging and discharging modes, and the results were analyzed and discussed, and the corresponding management inspiration was given.
Research on Construction Technology of Ultra-Low Energy Reconstruction of Existing Buildings
Authors: Zhao Shiyong , Qiang Wanming , Hao Yuhang , Fu Sujuan , Shi Yuanyuan
Published: June 2020

Taking the renovation project of the family building of the Hebei Academy of Building Research as an example. This paper studies the construction process and construction points of the ultra-low energy transformation process, and forms a complete and refined ultra-low energy consumption of existing buildings. Reconstruction of construction technology provides a reference for the promotion and application of ultra-low energy consumption technology in the energy-saving renovation of existing buildings.
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples
Authors: Hu Lixin , Luo Xiaobo , Wei Yufan
Published: June 2020

Aiming at the problem that the manual labeling of samples in the hyperspectral image classification is expensive and laborious, a large number of unlabeled samples are not effectively utilized and the classification results are not ideal. A method which can provide valuable samples and employ convolutional neural network to extract spectral spatial features for classification is proposed. Active learning method is used to construct a valuable training sample set by iteratively selecting the most uncertain samples through support vector machine which performs well in small sample classification, and labeling them. Then the 3D convolutional neural network is used to extract the spectral spatial features of hyperspectral image. The experimental results of the hyperspectral classification on Indian Pines and PaviaU datasets show that the proposed method (3D VS-CNN) is better than traditional classification methods.
Research on the Portable and Intelligent Photovoltaic Power Generation System Based on Microgrid
Authors: Gao Zhen , Xi Ziqiang , Liu Gege , Qin Yu , Zhang Zhitong , Liu Junzhe
Published: June 2020

A new design scheme of photovoltaic power generation system was proposed in the paper. The photovoltaic power generation technology was applied into an independent microgrid system, combined with intelligent grid technology and energy storage technology, and thus a portable and intelligent photovoltaic power generation system based on microgrid was constructed. The system was composed of solar power generation system, energy storage system, distribution apparatus and other parts. The photoelectric and line tracking methods were combined to make the battery panel conduct three-dimensional sun-chasing movement when it moves. The perturbation and observation method with variable step based on power prediction was raised so as to achieve maximum power point tracking. The battery energy management system was responsible for controlling the battery charging and discharging, as well as state detection, which ensured continuous and stable power supply of the load. The system could be expanded to build portable emergency power source, of great significance to rescue and relief work, military operation, field scientific investigation, navigation and so on.
Experimental Study on Connecting and Breaking Capacity of Low Voltage Mine Electrical Apparatus
Authors: Long Ma
Published: June 2020

This paper introduces the connection and interruption test of low voltage mine electrical apparatus, and analyses the operation process of its detection and inspection circuit. According to the test findings of contactor and circuit breaker, the common problems are put forward, and the corresponding solutions are put forward.
Pedestrian Recognition Based On Improved Semantic Segmentation Neural Network
Authors: Guo Xiucai , Wang Yaodong
Published: June 2020

At present, the existing Re-ID methods can’t align the target and the target in the image that should to be detected, which has been affecting the recognition accuracy. Although using semantic segmentation method can solve this problem, it brings new problems. The region which is considered as background by semantic segmentation neural network and discarded is likely to contain feature representations that are helpful for recognition. In this paper, an improved semantic segmentation method is proposed to re-divide the foreground and background regions. In order to avoid the influence of semantic segmentation errors on recognition accuracy, a new method is used to combine background and foreground regions. Experiments show that the accuracy of Re-ID is 84.52%, which is 3.33% higher than before.
Research on Construction Technology of Multi Heterogeneous Data Resource Graph of Power Grid Corporation
Authors: Wang Liying , Tian Shi , Shen Liang , Cheng Zhihua , Zeng Ming , Li Yanbin
Published: June 2020

The development of new-generation artificial intelligence technologies such as deep learning, knowledge graphing, and enhanced learning is driving the “Internet + Smart Energy” into a new era of “Internet of Energy.” The data structure, type, and format of the data between the main body of the energy and power system, various departments of the enterprise, and various types of users are all constructed at different times using different standards. The data is huge and complex. Establishing a company-level data center for power grid companies to resolve the standardized management and fast and reliable exchange of heterogeneous data under massive data is an opportunity and a challenge for the company to build an energy Internet. As the core foundation of integrating heterogeneous data resources of power grid, data resource graph can provide effective support for the management of heterogeneous data of power grid enterprises under the energy Internet. From the multi-dimensional perspective of data modeling, resource management, data navigation, learning cognition, database, this paper focuses on the diversified and heterogeneous data resources of power grid companies, and explores from the specific technical aspects of data ontology modeling, data naming and identification, data relationship mining, data fusion and exchange technology, aiming to provide technical support and reference for power grid companies to build data resource graph.
An improved grid-connected pre-synchronization method for photovoltaic micro-grid
Authors: Zhou Zifu , Long Jun
Published: June 2020

Due to the obvious steady-state error that traditional grid-connected pre-synchronization regulation, current shock may occur when photovoltaic micro-grid is connected to the grid. To solve this problem, an improved pre-synchronization method with higher steady-state adjustment accuracy is designed by using the brain emotion control algorithm in the inverter control link. This method can reduces the transient shock of current when the micro-grid is connected to the grid. MATLAB / Simulink software is used to establish a simulation model, through which the correctness and feasibility of the proposed method are verified.
Study of Comparing Several Nonlinear Filtering Algorithms in Carrier-based Aircraft Positioning
Authors: Du Yajie , Zhao Jianjun , Yao Gang
Published: June 2020

In order to improve the positioning accuracy of the landing guidance radar to the carrier aircraft, the nonlinear filtering algorithm is used to estimate the positioning of the carrier aircraft. The main algorithms of nonlinear filtering, such as extended Kalman filter, unscented Kalman filter and particle filter, are analyzed and compared. A typical nonlinear model is simulated to verify the performance of these algorithms. The simulation results show that the estimation accuracy of the particle filter algorithm is better than the other two filter algorithms.
Ship Classification from SAR Images based on Sequence Input of Deep Neural Network
Authors: Zhu Hongliang , Lin Nan , Leung David
Published: June 2020

This article proposes an all brand new classification architecture for SAR images of the ship via deep learning. Compared with the most widely used conventional classification algorithm based on deep neural networks, we set a sequence of SAR images as input to the neural network, which is different from a single image as input in those kinds of conventional ones. Two central neural networks form the construction of this new classification architecture; the first is a convolutional neural network used to extract the features of each frame, and the second is the LSTM part, which is trained on the sequence to predict the labels. It is much more significant to enhance the connection among the SAR images primarily due to the limit of SAR data, which makes us combine all the SAR images to several sequences. The proposed new classification architecture is trained on the OpenSARShip[2] dataset captured by Sentinel-1 space-borne radar. Experiment results show that the classification architecture can get an accuracy of 99.24% in classifying the six kinds of targets, which is much more precise than any conventional methods before.
Application of statistical process control technology in operation optimization of thermal power units
Authors: Tian Penglu , Yuan Jun , Zhang Shaonan , Li Zhichao , Wei Qingbo
Published: June 2020

The reliability of power plant data becomes more and more important with the development of smart power plant based on big data and artificial intelligence technology. Statistical process control technology is widely used in product production process management, but it has never been involved in thermal power. In this paper, the statistical process control technology is applied to the thermal power industry. The application results show that the statistical process control technology can not only take the calculation results as the quantitative criteria for the operation conditions of the unit, but also help to select the comprehensive optimal conditions of the unit under the specific conditions, and implement the goal of improving the management level and economic benefits of the power plant.
Voltage Variation of Smart Grid with Distributed Power
Authors: Zhang Bowen
Published: June 2020

In order to solve the voltage regulation problem of the smart grid with distributed power. A convergence power flow program suitable for DG-containing systems based on Newton algorithm was written. The result was that Type-A DG will reduce the voltage level, while Type-B and Type-C DG will support the system voltage level. In the simplified modeling and analysis method of distribution network, triangular load distribution model is better than uniform load distribution model. The effect of DG on the voltage distribution on the feeder is closely related to the total capacity and access position of DG.
Power System Frequency Regulation Based on Vehicle-to-Grid
Authors: Zhang Bowen
Published: June 2020

A static frequency characteristic model of electric vehicle charging and discharging was established, and a corresponding strategy is proposed to realize the role transition of electric vehicle between distributed generation and controllable load. Load frequency control models for single-area and two-area interconnected power systems are established. Simulation studies show that electric vehicles can not only effectively improve the frequency stability of the power system, but also significantly reduce the reserve capacity of traditional frequency modulation units.
Coordinated control of energy storage electric brake device and generator
Authors: Li Xiaocong , Meng Hongpei
Published: June 2020

The application of Super Capacitor energy storage Brake Device (SCBD) in the electrical braking system of Hydrogenerator can not only assist the rapid shutdown of hydrogenerator, but also significantly provide the ability to resist large disturbance of the system, which is conducive to the improvement of the transient stability of the system. Based on the principle of capacitor energy storage, the differential algebraic model of SCBD and generator excitation and speed regulation system is derived in this paper, and the multi index nonlinear control is used to design the coordinated controller. In order to verify the effect of SCBD on generator system, three-phase short circuit simulation with and without SCBD and voltage regulation disturbance simulation are carried out. The simulation results show that the SCBD braking effect is obvious and the transient stability of the system is improved significantly.
Research on large-scale intermittent new energy grid connected control technology based on power demand
Authors: Wang Juanjuan , Jia Yajuan , Nan Jiangping
Published: June 2020

In recent years, with the increasing Power demand, new energy power has been continuously developed. As the main types of new energy power generation, wind power and photovoltaic power generation have strong randomness and correlation under the influence of natural conditions. The safe and efficient utilization of large-scale new energy power is the core content and basic goal of smart grid construction, while intermittent new energy is developing rapidly, there are also many problems. New energy resources and load centers show obvious reverse distribution characteristics. The fundamental reason that hinders the large-scale absorption of intermittent power in power grid lies in its randomness and volatility. It is necessary to study advanced prediction technology and control technology and make dynamic changes according to certain laws. The structure design of the new energy system of the large power grid can ensure that the power of wind, solar and other new energy can be connected to the grid to the maximum extent, the mathematical parameters and control strategies are correct and reliable, and the energy storage system can realize the dynamic tracking interaction with the power of the large power grid.
Design Optimization of Improved Halbach Tubular Permanent Magnet Linear Synchronous Motor with Less Permanent Magnet
Authors: Li Qinghui , Liu Xu
Published: June 2020

To reduce the permanent magnet (PM) usage and cost, the improved Halbach tubular permanent magnet linear synchronous motor (IH-TPMLSM), which has unequal thickness of the radial and axial magnetized PMs located in the mover, is developed in this paper. Taking the maximum average thrust as the optimization objective, the single-step optimization method based on sensitivity analysis is used to optimize motor under the same current density by finite element (FE) analysis. The influence of the pole-pitch τ on the detent force is analyzed. According to the comparison of optimized TPMLSMs, the results show that when pole-pitch τ = 30.5mm and the full-pitched winding disposition τs = 31.5mm, the detent force is reduced by 55.87%. Finally, the open-circuit back EMF, air gap flux density, the thrust of the IH-TPMLSM and the quasi Halbach TPMLSM (QH-TPMLSM) are compared. The quantity of PMs of the IH-TPMLSM is 15.27% lower and the average thrust is 4.01% higher than that of QH-TPMLSM. Meanwhile the thrust ripple is reduced by 36.12%.
Research on Dynamic Hybrid Compensation Technology and Device in Low Voltage Distribution area of Transformer
Authors: Xie Yejun , Wang Ling , Li Peng , Li Tao , Su Xin
Published: June 2020

In order to solve the problem of three-phase unbalance and low power factor caused by distributed power supply to low-voltage distribution network, a hybrid reactive power compensation system based on “intelligent capacitor +SVG” is designed. The system is composed of a small capacity Static Var Generator (SVG) with high precision compensation and several smart capacitors. Firstly, the structure of three-level SVG in the hybrid compensation system is analyzed, and the two-level SVPWM vector synthesis method is applied to three-level compensation. The control mode of intelligent capacitor is analyzed. Then the principle of reactive power distribution in hybrid compensation system is analyzed. Finally, a hybrid reactive power compensation system is designed with TMS320F28335 as the core controller of the hybrid system. The experimental results show that the hybrid reactive compensation system can effectively compensate the reactive current dynamically.
Control Strategy and Application of Voltage Sag Compensation Based on UPQC
Authors: Jiang Xiangdong , Wang Ling , Zhao Qingyuan , Su Zongyu , Li Tao
Published: June 2020

In order to solve the problem of voltage sags in low-voltage power grid, the control strategy and application of Unified Power Quality Controller (UPQC) are given. Based on the main circuit of UPQC, the method of Second-Order Generalized Integral (SOGI) is used to detect the voltage drop quickly and accurately, and the direct control method is used to compensate the voltage drop. The method is simulated by PSCAD/EMTDC, and the theoretical results are verified. TMS320F28335 controller is used to realize the algorithm, and a physical platform is built. The test waveform verifies the feasibility of the method.
Creating Appropriate Trust in Automated Valet Parking System
Authors: Ma Jun , Feng Xuejing , Gong Zaiyan , Zhang Qianwen
Published: June 2020

To improve the user experience of autonomous driving, human factors issues regarding automated driving need to be addressed. One of the key issues is how much drivers trust in automated driving systems and how they generate trust and reliance based on their experience. This paper aims to investigate how an appropriate level of user trust for automated valet parking system can be created via human-machine interaction (HMI). For example, trust formation is a dynamic process. When users interact with the system, the factors that affect trust will change with the change of context. In order to understand how factors related to trust interact, we designed two projects by modulating four design variables, which are the ease of use, anthropomorphism, transparency of feedback, and communication style. We measure their trust level and satisfaction and provide some design suggestions for creating appropriate trust in the automated valet parking system.
Study on the Identification of the Differential Lasso in the Low-voltage Transformer Area
Authors: Wang Yi , Liu Zhitong , Li Yuanyi , Pang Bo , Zhao Nan , Liu Jia , Shi Diancai , Hou Gang , Wang Qi , Zhao Chuanzong , Wang Qinghao
Published: June 2020

The validity of the transformer area’s file in the Power information acquisition system is very important, the man-made way is time-consuming, and the cost of relying on the equipment is high. In order to provide efficient, convenient and economical identification technology of the transformer area archives, this paper proposes a low voltage topology recognition method based on differential Lasso, which can complete automatic topology recognition only by using the power consumption information of the transformer area. First of all, the statistical model of Lasso is established for the data of electricity consumption. According to the characteristics of the meter in the meter box belonging to the same area, the differential Lasso model is further constructed. The regression coefficient based on the differential lasso can be calculated for each transformer area in turn by polling, and select the meter according to the threshold. The method of this paper is used to analyze the field collected electricity data. The results of topology recognition show the effectiveness of the proposed method.