bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Thermal Aging Characteristics of HTV Silicone Rubber Sheds of Composite Insulators
Authors: Zeng Leilei , Zhang Yu , Rao Zhen , Liu Yan , Miao Xuemei , Ma Liang , Yan Nianping , Zeng Xin , Zhou Longwu , Zou Yang , Tong Chao , Deng Zhibin
Published: April 2020

The composite insulator is affected by many aging factors during its operation. Thermal aging is the most common aging effect on the high temperature vulcanized (HTV) silicone rubber sheds of composite insulators. In order to study the thermal aging characteristics of HTV silicone rubber sheds of composite insulators, the artificial thermal aging test of HTV silicone rubber sheds samples was carried out, and then the aged samples were analyzed by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TG), and HTV silicone rubber was studied. The results show that the pyrolysis process of HTV silicone rubber can be divided into two stages: dehydration and decomposition of Al(OH)3 flame retardant in the first stage and polydimethylsiloxane (PDMS) molecule in the second stage. With the increase of thermal aging time, the crack width and number on the surface of the sample increase gradually, and the infrared absorption peaks of Si-C side chain, Si-O-Si main chain and O-H group decrease gradually, which indicates that thermal aging can greatly accelerate the aging process of HTV silicone rubber of composite insulators.
Effects of Three Biomass Fillers on the Properties of Melamine Modified Urea-Formaldehyde Resin
Authors: Xu Shanfeng , Xia Sanshan , Chen Yuzhu , Xiao Hui , Yi Maoyu , Yang Yupeng
Published: April 2020

In this paper, the ultra-pulverized walnut shell (WS), walnut dregs (WD), and tea (T) were blended with formaldehyde solution. Based on the determination of the reactivity of WS, WD, T and formaldehyde solution, WS, WD, T was respectively blended with melamine modified urea-formaldehyde resin (MUF) as fillers, and the properties of the resin and plywood were analyzed. The results showed that under the conditions of blending, the pot life and gel time of MUF resin are prolonged, the viscosity is increased, while the pH value, the free formaldehyde content and the methylol content are decreased. The formaldehyde emission of the prepared plywood decreased with the amount of WS, WD, and T increased. When the added amounts of WS, WD, and T were 30%, 30%, and 10%, respectively, the wet bond strength of plywood increased by 120.00%, 47.27%, and 50.91%, respectively. The optimal amount of WS, WD, and T is 20%, 30%, and 10%.
Weak Moving Target Detection Based on Improved Wavelet De-noising
Authors: Guo Chuang , Jia Fangxiu , Li Wenbin , Hu Zhiming , Song Yang
Published: April 2020

When the weak moving target is far away, the signal of the detecting system is very weak, and the background noise has a great influence on the detection results. In this paper, a method based on kernel theory is proposed, this method can distinguish target signal from background noise signal. To suppress background noise, a new threshold function based on wavelet packet decomposition is proposed. In the high-speed camera, the above two methods are used to detect weak moving targets. The experimental results show that the method has great advantages in the detection of small moving targets.
Development of Drilling Fixture for Surface mounted with leaf spring seat of Front Axle
Authors: Dai Tianqi , Wu Ying , Chen Yulin , Zhou Xu , Zhang Deshun , Zhang Saiqi , Wu Zuguo
Published: April 2020

In order to meet the requirement of large-scale production of front axle, ensure the accuracy requirement of drilling holes on the surface mounted with leaf spring seat of front axle, and improve the production efficiency of front axle, the machining center fixture for drilling holes on the surface mounted with leaf spring seat of front axle was developed. The technological requirements of drilling holes on the surface mounted with leaf spring seat of front axle are introduced. The working principle of the machining center fixture for drilling holes on the surface mounted with leaf spring seat of front axle are introduced. The structure and characteristics of the key parts of the fixture are highlighted. Successful development of the fixture improves the production efficiency of front axle, greatly reduces the labor intensity of operators, and improves the automation degree of the production line.
Preparation and properties of ternary copolymer hydrogel materials
Authors: Kang Cheng , Zhang Haoran , Yuan Yuan , Zhou GuoPing , Yao Bing , Wang Shifan
Published: April 2020

In order to improve the adsorption of heavy metal ions on acrylic hydrogels, P(AA-co-AM-co-S) hydrogels were synthesized from acrylic, acrylamide and styrene as raw materials. During the synthesis, potassium persulfate was used as the initiator, N, N’-methylenebisacrylamide was used as the crosslinking agent, and the degree of neutralization was 80%. The structure of the prepared hydrogel was determined by infrared spectroscopy. The adsorption properties of hydrogels on Ni2+ at different times and pH were determined. The results show that the adsorption capacity of Ni2+ ions on the hydrogel reaches the equilibrium adsorption capacity in about 2 hours and reaches 159 mg/g. The second-order kinetic model fits well. The optimal pH for the adsorption of Ni2+ ions by the hydrogel is 3.5 ~ 4.5 and the adsorption capacity is 160 mg/g. This study has important theoretical and practical significance for the development of high-efficiency, environmentally friendly, low-cost heavy metal ion hydrogels.
Optimize Print Speed and Laser Power of the 3D Printing Technology Selective Laser Sintering (SLS) for Mixture of Powder Materials Green Bean and Polylactic Acid (GBP/PLA)
Authors: Dinh Ba Bach , Guo Yanling , Nguyen Tat Thang , Tran Nho Tho
Published: April 2020

In this study, we performed the optimization study of selective laser sintering (SLS) 3D printing mode for the material is a mixture of Green Bean Powder and Polylactic acid powder (GBP/PLA) to createed a new biodegradable synthetic material (GBCP). The study was designed with 2 factors changing: print speed and laser power, fixed factor is the ratio of GBP/PLA is 20/80. Through Scanning Electron Microscope (SEM) to assess the structure of materials; tensile strength, flexural strength and impact strength evaluate the mechanical properties of materials. Experimental results show that with the printing speed of 2 m/s, the printing power of 21W, the GBP/PLA material has the best quality with a tensile strength of 2.89 MPa, flexural strength of 5.91MPa and impact strength is 0.57KJ.m2.
Analysis of Activation Energy of Epoxy Resin Insulated Transformer Based on Dynamic Method
Authors: Zhang Xin , Xi Xiaoguang , Liu Liqing , Wang Yang , Liu Guangzhen , Li Jialong , Wang Xuqiang
Published: April 2020

Epoxy resin insulation transformer is a typical dry-type insulation equipment in power system. The insulation performance diagnosis of such equipment is the current research focus. This paper analyses the basic principles of two typical dynamic methods, FWO method and Kissinger method, and introduces the specific application methods of the two methods in the calculation of the activation energy of epoxy resin insulated transformers, which proves the effectiveness of the method. This article provides theoretical basis and example verification for insulation aging diagnosis of dry-type transformers based on quantitative characterization of activation energy.
Head posture detection with embedded attention model
Authors: Han Jin , Liu Yansheng
Published: April 2020

Based on Convolutional Neural Network, the paper presents a compact detection algorithm that can estimate the head pose from a single picture. Our method is based on soft stage wise regression. In order to reduce model complexity, three-dimensional detection of the “pitch, yaw, and roll” of the head posture adopts multi-level classification. Each level of classification requires only a small number of classification tasks and fewer neurons. In order to enhance the feature expression of the algorithm, the attention model is embedded. Attention model includes channel attention structure and spatial attention structure, enhancing the feature expression of the feature map in the two dimensions of the intermediate feature map channel and space. The attention model can be seamlessly integrated into the CNN architecture with low overhead. The experiment proves that the improved algorithm compares the method model proposed by Yang with a smaller complexity of 4.36M and an average absolute error of 0.7%~0.9%.
Lightweight Incremental File Check pointing
Authors: Wei Shuangjian , Chen Qiurui
Published: April 2020

Checkpoint technology can improve the efficiency of simulation backtracking. Existing check pointing tools are dedicated to solving system fault tolerance and load balancing problems, and have limited support for persistent data. The overhead of setting and restoring checkpoints for persistent data is critical for simulation backtracking. We designed LibIFC to deal with the problem of checkpoint overhead for persistent data in two aspects. Firstly, the incremental method is used to reduce the space cost of the checkpoint; secondly, a two-way recovery method is used to reduce the time cost of checkpoint recovery. The experimental results show that the above two strategies have achieved significant results in terms of space overhead and checkpoint recovery time overhead.
Research on Power System Performance Evaluation Based on Machine Learning Technology
Authors: Yang Qijiu
Published: April 2020

Power systems often suffer from various large disturbances during operation, especially grounding and short-circuit faults of operating lines, which may lead to transient instability of the system. In view of the fact that the existing relay protection is difficult to be fully applied to the power system with high permeability distributed energy, the machine learning algorithm is applied to the relay protection of the power system. Enhance the robustness of the model to noise; In the training, more weight is given to the unstable samples to balance the influence caused by the difference in the number of samples. In addition, a regular term is introduced into the loss function to control the complexity of the model and reduce over-fitting, thus adapting to various operating conditions of the power system. By comparing the difference between measured data and estimated data to detect bad data, the machine learning method is more intelligent than the traditional method. The research results show that the transient stability evaluation method based on incremental learning of support vector machine greatly reduces the learning time while maintaining the evaluation performance, and is a promising online learning algorithm for transient stability evaluation.
Cooling characteristics of two cooling systems applied in natural light plant factory in high temperature summer
Authors: Zhang Zhonghua , Zhong Yuqi , Meng Xiangzhen , Shi Xiaocheng , Yang Gukun , An Wenting , Tian Qinyu , Shi Huixian
Published: April 2020

In view of the extreme high temperature in the summer when the natural light plant factory runs, it is easy to cause the plant to die due to high temperature. The actual operation of the Shanghai Chongming Natural Light Plant Factory in the past two years is studied to explore various ways of cooling - water Energy-saving groundwater source heat pump cooling air treatment unit (ATU), wet curtain fan, etc. cooling characteristics in the semi-enclosed natural light plant factory in the summer high temperature weather. The results show that the typical high temperature typical day, the natural light plant factory of the water storage type groundwater source heat pump cooling ATU cooling system is 13.88°C lower than the average temperature of the natural light plant without the system. In high temperature weather, the natural light plant factory wet curtain fan system and water storage type groundwater source heat pump cooling ATU cooling system have better cooling effect, but the latter cooling effect is better, such as only the wet curtain fan cooling system The average indoor temperature of the natural light plant factory A5 is 30.88°C; the average temperature of the natural light plant factory A2 of the natural light plant factory A28 with only the water storage type groundwater source heat pump cooling ATU cooling system is 28.64°C, the average temperature of the natural light plant factory A2 without taking any cooling measures is 40.19°C.
A novel scheme for intelligent fault diagnosis of marine diesel engine using the multi-information fusion technology
Authors: Wang Sibo , Wang Jin , Wang Ruihan
Published: April 2020

Various parameters in the process of diesel engine operation contain a lot of information. Through data mining, the inherent information of these parameters can be mined out to solve the problems of inaccurate diagnosis and time-consuming. In this paper, a fault diagnosis scheme for the diesel engine is proposed based on the K-means analysis and the back propagation (BP) neural network. K-means is used to cluster the data and BP neural network is designed to diagnose the running state of diesel engine. Then, the fault diagnosis scheme is optimized by principal component analysis (PCA) to simplify the raw data, which are clustered by K-means and set as the input of the BP neural network to establish the fault classification model. Through the analysis and comparison of the results of the two diagnosis algorithms, it shows that the optimized algorithm can extract data features more effectively, improve the diagnosis accuracy, and reduce the diagnosis time.
The Heat Transfer Analysis for Distribution Channel of Platelet Nosetip
Authors: Nie Tao , Yang Kun , Zhao Jianhua , Liu Zhenming , An Shijie
Published: April 2020

The heat transfer model of difference in temperature is used in the heat transfer analysis for platelet nosetip. The temperature distribution of platelet construction unit and transpiration cooling medium is got by analytical solution. Hot dipping depth is used for range of influence. The results show that the maximum temperature and hot dipping depth decrease with transpiration flux increasing, and decreasing trend of hot dipping depth is slowing. Hot dipping depth and the maximum temperature increase with the heat flux on the wall increasing, and increasing trend of hot dipping depth is slowing. Temperature increasing trend of platelet construction unit in heat-affected zone is slowing with thermal conductivity of structural material increasing. The temperature change tendency is basically unchanged with the length of distribution channel increasing, but only heat-affected zone of platelet move some distance to the exit. So simply increasing the length of the distribution channel does not improve the thermal protective effect.
Research on Structural Optimization of Spiral Array Heat Exchanger Based on Exhaust Heat Recovery
Authors: Peng Pei
Published: April 2020

With the development and advancement of technology, modern industry has made rapid progress in improving the combustion performance of automobile exhaust heat in improving the combustion performance of automobile engines and reducing harmful emissions of automobile engines. This technology can not only improve the energy utilization of vehicle fuels. Efficiency can also reduce environmental pollution. The spiral array heat exchanger is an important equipment for waste heat recovery of automobile exhaust gas, which can fully recycle this waste heat energy. Therefore, this paper studies the structure optimization of spiral array heat exchangers, and plays an important role in the recovery of exhaust gas heat recovery, optimization of structure and enhancement of its comprehensive heat transfer performance. It improves fuel economy, saves energy and protects the environment. Great significance.
Supplier selection based on information visualization tools——Taking Z agricultural machinery company as an example
Authors: Yao Tianhui , Hou Hanping , Yang Jianliang , Yang Xiqing , Liu Xinlu , Li Dandan , Ren Hongzhi , Wang Yue , Li Xue
Published: April 2020

The development of economic globalization makes the cooperation relationship between enterprises and suppliers closer. How to optimize suppliers becomes a research hotspot. This paper studies the selection process and selection method of quotient evaluation indicators based on the analysis of supplier data by using information visualization tools. The multi-dimensional data and analytic hierarchy process are used to evaluate the supplier’s commercial value and product information. The example of z agricultural machinery company is used to verify the effectiveness and feasibility of the new scheme.
Two-dimensional plasma photonic crystal structure transmission characteristics
Authors: Zhang Junyi
Published: April 2020

This paper use the finite difference time domain (FDTD) algorithm to study the forbidden band characteristics of two-dimensional non-magnetized plasma photonic crystals. We analyse the obtained S-parameter from the perspective of frequency domain, and discuss the influence of the interlayer angle and distance of the photonic crystal, the polarization mode of the antenna and the plasma parameters on the band gap characteristics. The results show that when the photonic crystal has a certain plasma filling rate, different angles and distances between layers and different polarization modes can achieve modulation of transmission characteristics.
Measurement of the plasma density of tip gap discharge at atmospheric pressure by M-Z interferometry
Authors: Cui Lulu
Published: April 2020

In this paper, the plasma density in the lateral discharge of the tip gap at atmospheric pressure was measured by Mach-Zehnder interferometry. Based on the offset of the fringe picture, the maximum electron density of the plasma was calculated to be about 1.76 × 1018cm−3. At the same time, the spatial distribution of plasma electron density and the change of the highest electron density with the applied voltage across the tip were obtained.
A Novel Multilayer Conically Squeezed Giant Electrorheological Fluid Damper
Authors: Hu Yingyi , Pu Huayan , Sun Yi , Ding Jiheng , Wang Min
Published: April 2020

In this paper, a multilayer conically squeezed GER (giant electrorheological fluid) damper combined the characteristics of shear mode and flow mode is studied. Based on the theory of fluid mechanics, this paper established a simplified mathematical model of damper and had experiments to verify it. The result shows a good agreement and an effective isolation ability. With the simple structure, this damper has tunable ability of damping and stiffness to adapt to different application requirements.
Substation Load Characteristics and Forecasting Model for Large-scale Distributed Generation Integration
Authors: Gao Zhengping , Shi Jing , Li Hu , Chen Chen , Tan Jian , Liu Lixin
Published: April 2020

The large-scale access of distributed generation has a great impact on load forecasting in substation-area, which means the load curve in the substation-area cannot reflect the real load of users. Firstly, this paper considers the impact of distributed generation on the load curve, and proposes a load forecasting model based on data cleaning and deep learning in the substation-area. Secondly, considering the data missing during communication and transmission, the KNN algorithm is adopted to complete the missing data before the data input. And then, Pearson correlation coefficients are used for the correlation analysis of the input factors related to distributed generation, and the data is trained through Long-short Term Memory in deep learning. Finally, verified by load data of some substation-area in Jiangsu Province, the prediction model established in this paper has good prediction accuracy and stability.
Stability Evaluation Method of Grid Transient State Based on Deep Learning Technology
Authors: Chen Xinjian , Zhu Yilun , Hong Dongjian , Yu Jie
Published: April 2020

At present, with the size increase and complication of the grid, it has brought greater challenges to the stable operation of the grid; the author proposes a stability evaluation model of grid transient based on deep learning technology, which has high recognition speed and accuracy after being verified by practical examples.
Key Line Identification of Power Grid Based on Entropy Weight Method of Pearson Coefficient Index Selection
Authors: He Ming , Zhou Yanli
Published: April 2020

As one of the important infrastructure of the country, it is very important to identify the key links of the power network and protect them to prevent the blackout. Based on the theory of complex network, this paper proposes a comprehensive multi-attribute identification method for key nodes of power grid. Firstly, the Pearson correlation coefficient is used to select the evaluation index according to the topological characteristics of the power grid, then the entropy weight method is used to get the final decision matrix, and finally adopt the comprehensive method to calculate the order of the important lines in the power grid. In order to compare the advantages and disadvantages of different recognition methods, we compare the evaluation results of electrical method, and further verify the effectiveness of the proposed method in IEEE39 system.
Feasibility study of GIS vibration testing and diagnosis method
Authors: Qu Bin , Wang Yongning , Zhou Liansheng , Wang Kun , Wang Ziyue , Wang Jian , Chen Haowei
Published: April 2020

In this paper, the feasibility of the fault diagnosis method based on the vibration signal in GIS is studied through the experiments of the correlation between the discharge fault and the vibration signal and the propagation characteristics of the vibration signal in GIS. The concept of pulse interval frequency is put forward. According to the experimental data, it is concluded that there is a strong correlation between the interval frequency of GIS discharge pulse and the frequency of vibration signal. At the same time, the vibration signal has regular propagation characteristics when passing through the basin insulator, cavity and T-shaped structure. The above two points strongly support the vibration test method can be used for fault diagnosis of GIS.
Semi-automated construction of a knowledge graph with template
Authors: Wei Tangzhao , Jiang Ying , Wang Yue , Luo Yuming , Lin Weibin , Chen Zihao
Published: April 2020

The Internet has massive data and a large number of relationships describing various entities and entities. HTML pages with semi-structured and structured data are important data sources for building knowledge graph. This paper proposes to construct a knowledge graph based on a template semi-automatically and construct a lure template by filling the template as a data source to realize the domain knowledge graph by extracting the triple data in the multi-data source through the attracting template. And build an application platform to provide a domain knowledge graph, reduce human participation to achieve efficient construction of knowledge graph.
Mutual Exclusion Algorithm for Real-time Traffic Dispatching Based on Game Theory
Authors: Jiang Jianchun , Peng Fei , Zhao Bowen
Published: April 2020

With the rapid increase of vehicles, real-time dynamic dispatch is an important means to alleviate traffic congestion. Game theory-based real-time vehicle scheduling algorithms are often used for dynamic adjustments, but traditional algorithms only switch signal phases for fixed phases during dynamic adjustment scheduling, and cannot achieve the comprehensiveness of real-time scheduling; or phases with large differences in traffic flow when setting the duration, the reasonable waiting time for the smaller traffic phase are not considered. In order to solve the real-time dynamic adjustment of signal lights, an improved algorithm based on game theory is designed to control the signal switch in the game mode, and the waiting time of vehicles at traffic intersections can be reduced by adding parameter values of lane waiting time changes. Through experimental comparison, the algorithm reduces the vehicle stay by 3.4% and the waiting time by 4.4% compared with the fuzzy algorithm of the polling mechanism.
Based on the analysis and discussion of heat conduction of machining in power system
Authors: Tang Bo , Xie Chunyang , Zhang Xuchang , Li Chuntao , Zhang Hanyu , Tian Yujin , Sun Tiangeng
Published: April 2020

Heat transfer process in power system applications mainly refers to the gas in the cylinder through the combustion chamber wall and related parts pass the process of cooling medium, the heat it mainly includes the gas flow and combustion in cylinder, cylinder internal boundary layer heat transfer (gas and wall heat transfer), heated component of thermal load and thermal conductivity, cooling medium heat transfer, and a series of process. Because it is closely related to the working process of the power system, the lubrication cooling system and the structural strength design of components, the heat transfer and its thermal load will directly affect the dynamic performance, economy and reliability of the system. Therefore, the heat conduction of machining in the power system has always been an important field in the power system research.
Research of the Inspection Optimization Strategy for Distribution Network Based on Comprehensive Information Model
Authors: Gong Hanyang , Chen Chaoqiang , Zhang Di , Yang Lingyun , Le Jian
Published: April 2020

To improve the quality and efficiency of inspection tasks, this paper studies the path planning optimization strategy for distribution equipment inspection of distribution networks. The comprehensive information model of each type of distribution equipment to be inspected is established by integrating the real-time monitoring information, geographic information and historic information effectively. The inspection path optimization model with an admissible cost function is established and solved by using the heuristic search A* algorithm. Comparison of the results of several inspection path planning strategies are provided to verify the effectiveness of the proposed strategy.
Numerical Analysis of The Three Piles of Facing Each Other
Authors: Ren Yongzhong , Wu Jing
Published: April 2020

In order to study the deformation and stress characteristics of the pile under the action of landslide thrust. Taking the Suo Er Tou landslide in Gansu Province, China as the engineering background, In the paper the numerical analysis model by establishing the finite difference software FLAC3D of geotechnical engineering is analysed the displacement and bending moment of the pile. The anti-slide pile adopts pile element, soil constitutive model uses Mohr-Coulomb. The results show that the displacement of the piles at the top of the pile and the section of the pile are basically equal, but the horizontal displacement values are not equal above the sliding surface. In the sliding surface, the bending moment of the front pile is smaller than the bending moment of the back pile, but the bending moment of the front pile at the top of the pile is larger than the bending moment of the back pile.
Research on Continuous Berth Allocation Problem based on Genetic-Harmony Search Algorithm
Authors: Li Shuang , Li Guangru , Zhu Yue
Published: April 2020

In order to solve the berth allocation problem and improve the efficiency of the dock, a mixed integer nonlinear programming model is built with the length of port stay. The genetic-harmony search algorithm is used to solve it for the first time. Finally, the algorithm and Lingo are used to solve the large-scale berth allocation problem at the same time. Under the same data of arrival ships, several groups of experiments are designed to verify the algorithm. The results show that the genetic-harmony search algorithm can be used to solve the berth allocation problem. On the basis of the consistency between the genetic-harmony search algorithm and Lingo, the genetic-harmony search algorithm is faster and more efficient.
Adaptive Compensation Control under Constant False Data Injection Attack
Authors: Li Xiaohang , Song Chunlin , Liu Shaokun , Li Jinlong
Published: April 2020

In view of the false data injection attack of cyber physical systems (CPS), this paper aims to study the designing method of adaptive compensation controller for system executor when the system executor suffers from constant false data injection attack. The application of the adaptive compensation control algorithm to the false data injection attack shows that the designed adaptive law has the advantages of fast convergence speed and accurate parameter estimation. The compensation control algorithm can substantially compensate for the effects of false data injection attacks, and we can prove that all signals of the final closed-loop system are bounded and the state of the system can asymptotically converge to zero. Finally, we provide simulation examples to verify the effectiveness of the state feedback adaptive compensation controller proposed in this paper.
Simulation and Analysis of a Kind of Cam Manipulator Based on Rigid Flexible Coupling Dynamics Theory
Authors: Bao Zhongfu , Zeng Dejiang
Published: April 2020

Based on the theory of rigid flexible coupling, a cam manipulator used in an automatic production line is simulated. By comparing the differences between rigid body system and rigid flexible coupling system in various dynamic performance indexes, it can be seen that the positioning accuracy and stability of manipulator movement are affected by the elasticity of components. In the case of high accuracy requirements, the elasticity of members cannot be ignored. The simulation analysis provides the basis for the following optimization design and machining.
Topology Research of Flexible DC Distribution Network Based on Different PV Operation Scenes
Authors: Zhang Jun , Wu Junxing , Zhang Dongdong
Published: April 2020

With the increase of load types and power consumption, the scale of power grids continues to expand. Traditional AC distribution networks face a series of problems, such as distributed power grid-connected power generation, low power quality, and DC power distribution technology. There are clear advantages in these areas. This paper first analyzes the advantages of analyzing flexible DC distribution networks, and clearly analyzes several common topologies of flexible DC distribution networks. Secondly, the distributed photovoltaic model is established, and its way of accessing the AC grid and DC grid is analyzed. It is learned that the DC distribution network has great economic significance. Finally, the four-terminal toroidal DC distribution network in different scenarios is simulated. The simulation results show that the DC distribution network can effectively adjust the voltage through the energy regulation of the energy storage module and the photovoltaic module, and quickly realize the power balance of the DC distribution network.
Algorithmic and Simulated Based Structural Optimization of Air-Cooling Heat Dissipation Structure for EV Battery Pack
Authors: Ma Jun , Chen Qiaoxin , Gong Zaiyan
Published: April 2020

This paper proposes an approach to optimize the effect of air-cooling heat dissipation structure for electric vehicle lithium-ion battery pack through CFD simulation and Genetic Algorithm. A 3D model of air-cooling heat system of battery pack is calculated and built through CFD, and the proxy model of battery pack structure parameters and function is established by BP neural network. Then based on this proxy model and genetic algorithm, the three structural parameters with lower maximum temperatures and temperature differences are calculated.
Research and Application of Artificial Intelligence Based on Smart Grid
Authors: Xiao Gengyi
Published: April 2020

In order to achieve the goal of intelligent dispatching, the article analyses the requirements of the smart grid, and then applies the artificial intelligence multi-agent technology to the smart grid dispatching system to study the formal structure and communication cooperation of the multi-agent. Using SQL Server 2000 to build a power grid dispatching data model, set up different Agent function modules, do some research on the living environment and decision behaviour of functional Agents, improve the structure of Agent-based dispatching decision-making systems, and build an Agent-based The intelligent dispatching decision system based on technology provides a feasible solution for the dispatching decision system of the smart grid.
Application of 3D Design Technology in Substation Design
Authors: Gao Yang
Published: April 2020

In recent years, with the development and progress of computer technology, its application has become more and more widely. Among them, the application of 3D technology in the the design industry is very common, which effectively improves the design efficiency and design quality. In the process of substation construction design, the application of 3D design technology to the design of substations can effectively improve the scientificity and effectiveness of the design scheme and avoid cross-design. In this paper, the relevant applications of 3D design technology in the design of substations are analyzed in detail in order to promote the further improvement of the design level of substations.
Research on Application of Digital Twin in Simulation of Equipment Maintenance Support
Authors: Chen Yukun , Chen Jian , Li Cong , Xu Jun , Xu Boao
Published: April 2020

A large amount of data will be generated during the daily use of equipment, which is of great value to equipment management, maintenance support and other activities. Firstly, the characteristics and connotation of digital twin were analyzed, and it is concluded that digital twin can create high fidelity virtual model of equipment in digital way during the whole life cycle of equipment. It can more accurately simulate, monitor, diagnose, predict and control the real state and behavior of equipment physical entities in the real environment. Secondly, the simulation process and method of equipment maintenance support based on digital twin technology were proposed. Finally, the application of digital twin technology in equipment life cycle management was analyzed.
Field Application Research of Ultrasonic Partial Discharge Detection Technology in 500kV Reactor
Authors: Zhang Dewen , Zhu Xuecheng , Zhang Hongda , Hu Xiaoxu , Shang Shulei , Zhang Kexin
Published: April 2020

The article introduces the working principle of ultrasonic based on the live detection technology of the reactor, and combines the actual application case of the ultrasonic test system to verify the feasibility of ultrasonic application in the field of live detection, and provide a basis for further research.
Research on Monthly Unified Scheduling Electricity Consumption Prediction Based on Temperature Gradient Change
Authors: Liu Junhui , Bai Hongkun , Wang Jiangbo , Li Hujun , Yang Meng , Yin Shuo , Song Dawei
Published: April 2020

With the improvement of residents’ living standards, the cooling and heating load are increasing rapidly, and the influence of temperature on the unified scheduling electricity consumption is increasing. Based on the temperature gradient change, the monthly unified scheduling electricity consumption prediction research is carried out to quantify the influence of temperature on the unified scheduling electricity consumption, and the unified scheduling electricity consumption prediction is performed for a provincial power grid. The example further proves the feasibility and effectiveness of the prediction method.
A Fault Diagnosis System of Power Transformers Using Acoustic Characteristics and Neural Network
Authors: Geng Mingxin , Fan Chuang , Wang Kun , Zhang Xiao , Yang Zhijun
Published: April 2020

As one of the most important facilities in the power system, power transformers undertake the crucial tasks of voltage transformation, power distribution and transmission. In the process of operation, the power transformers may have discharges, overheating, insulation degradation, winding and core loosing, solid pollution of insulation oil and some other faults. In order to address the aforementioned issues, a novel fault diagnosis system for power transformer is proposed. Through using the acoustic characteristics of the power transformer and establishing the model of the neural network, the proposed system is demonstrated with high accuracy in the experiment.
A Teaching Evaluation System Based On Visual Recognition Technology
Authors: Zhang Ying , Guo Yige , Hu Jingrong , Liang Qiongwen , Jiang Jinjian , Shao Changxing , Wang Yong
Published: April 2020

This paper designs and implements a student-centered teaching evaluation system based on face recognition and pose estimation technology. Our work firstly combines classroom attendance and behavior analysis in an evaluation system. For checking attendance, we select student faces as the identification object, employing a multi-task cascaded convolutional networks (MTCNN) as a face detector and a deep learning network FaceNet to extract face features. Then the head pose information is analyzed using Ensemble of Regression Trees (ERT) algorithm, which is able to detect 68 key feature points of faces. At last, we design and implement the whole system, including designs of functional modules, service software, database and telecommunication of various parts. This system can check attendance and collect student behavior information automatically, enhancing the intelligent level of the learning and teaching system.
The Application of Electric Vehicle Ordered Charging Technology in Ubiquitous Power Internet of Things
Authors: Zhang Weiwei , Wang Chengcheng , Zhang Sa , Zhu Wanlu
Published: April 2020

In recent years, the share of electric vehicles in the domestic automobile market is also increasing. When users meet the basic electricity consumption, they can use the electricity price given by the power company to reasonably allocate household energy and choose a more appropriate household energy layout, which can reduce energy consumption and save daily expenses. The purpose of this paper is to optimize the scheduling of household energy users, so as to improve the quality of power, save electricity expenditure, and obtain economic benefits. Based on the intelligent power optimization strategy and the environmental protection and energy conservation of electric vehicles, this paper analyzes the influence of V2G technology on the optimization strategy of household electricity consumption, and establishes the household electricity load model and electric vehicle model. For the whole system model, the scheduling time, power constraints and users’ habit of using electric vehicles as constraints, the final scheduling scheme is obtained through dynamic planning algorithm. Finally, the simulation results verify the correctness of the model coordination control optimization method established in this paper.
Discussions on Some Problems of Electricity Tariff Cross-subsidies
Authors: Li Pingwen , Li Jihui , Wang Xue , Shi Yue , Wang Jiangbo , Liu Junhui , Zhang Lichang , Wang Qinlin
Published: April 2020

This paper provides an introduction to electricity tariff cross-subsidies and analyses the main forms and problems of the cross-subsidies of electricity tariff in China. According to the essence of power system reform, it provides some suggestions on how to find appropriate solutions to the problems mentioned in this paper in order to promote the electricity market reform.
Linear Robust Optimal Dispatch of AC/DC Active Distribution Network with PET
Authors: Wang Ruizhi , Dong Lei
Published: April 2020

By considering the uncertainty of renewable energy in AC/DC active distribution network with power electronic transformer (PET), this paper proposes a linear robust optimized dispatch method with PET contained. Firstly, a steady-state model that only takes into account the characteristics of PET port is established. Secondly, we linearize the power flow equations of the AC/DC distribution network, and derive the expressions for the voltage safety at network nodes and for the current safety of lines, then establish the robust optimized dispatch model of the AC/DC distribution network containing PET. Finally, the nonlinear constraints such as port capacity in the network are linearized, and the robust optimized dispatch model is transformed into a quadratic programming model without uncertain variables using dual optimization theory, so that the model can be solved in an efficient and fast way. The two modified IEEE33 node systems have constructed the AC/DC active distribution network with PET. The simulation verified the accuracy and effectiveness of the proposed method.
Design and Implementation of ESD Immunity Test for a Combustible Gas Alarm Device
Authors: Sun Guangmin , Shi Chong , Liu Jie , Ma Pan
Published: April 2020

In this paper, a series of electromagnetic compatibility tests were carried out on a combustible gas alarm device. In order to ensure the Electrostatic Discharge (ESD) performance of the device, some targeted solutions for electrostatic protection were proposed. Finally, the device passed the test based on analysis and rectification and met the evaluation index in GB/T 1726.3-2018 well, which is very significant to improve the quality and reliability for this kind of products.
Discussion on the Delay Time of DGS AT1M Marine Gravimeter
Authors: Zhang Wang , Shi Xiaowei , Xiao Chunqiao , Wang Hongchao , Wang Penglei
Published: April 2020

The DGS AT1M marine gravimeter is lost by 0.13mGal in total, and the monthly drift value is less than 3mGal/month required by the investigation specification after static experiments in the constant temperature and humidity laboratory for 14 days. It is concluded that the consistency accuracy of gravimeter is 0.18mGal through calculation according to the marine measurement line of 6×6. The measured data is applied. The ship steering method is used for verifying that the set filtering time is the delay time of post-processing.
Simulation Study on the Impact of Uneven Fuel Injection of Each Hole of the Diesel Engine Injector on the Combustion Process
Authors: Zhou Liying , Liang Yu , Xu Mingfei
Published: April 2020

The spray impulse and injection pressure of each hole of the 4-hole injector of F186 engine were tested by using the transient test system for flow coefficient and injection rate of each hole of the injector, and the injection rate, fuel injection quantity and flow coefficient of each hole were obtained. According to the measured injection rate of each hole and cycle fuel injection quantity, a 3D model of the diesel engine was established with the FIRE software, and the uniform injection rate and uneven injection rate of each hole were made as the injection setting for the combustion simulation to comparatively analyze the influence of the uneven injection rate of each hole on the combustion process of diesel engine. As the injection of each hole is uneven, some holes with high injection rate have long fuel spray penetration distance and the fuel spray is fully mixed with the air, and the ignition starting point is moved ahead. When compared with the case of uniform injection rate, the phase corresponding to the heat release rate in the case of uneven injection rate is moved forwards, the maximum cylinder pressure and temperature rise fast, the maximum cylinder pressure and maximum average temperature in cylinder are higher, the NO generation is larger, and the Soot generation is slightly larger. In the case of uneven injection rate from four holes, as the utilization of air in the hole-located cylinder space by the fuel spray is uneven, the hole with a large quantity of injection makes the oxygen in the hole-located cylinder space relatively low, the wall collision of the hole with high injection rate is more, and the diffusion combustion is incomplete and insufficient.
Experimental Investigation of Jet Flow Fields with Chevron Nozzles
Authors: Li Xinran
Published: April 2020

With the rapid development of the aircraft industry, more regulations on aircraft noise are established. The turbulent jet is one of the major sources of noise in the aircraft, extensive researches on noise reduction has been investigated, especially for chevron. In this project, the near-nozzle flow fields of three chevron nozzles and one circular nozzle from a subsonic jet are investigated experimentally. This paper presents the results the comparison between four nozzles (CN0, CN1, CN2 and CN3) in terms of radial mean velocity, turbulent intensity and the selected nozzles are compared to baseline and each other with respect to turbulent kinetic energy spectra. CN0 is the baseline circular nozzles, CN1 is the standard chevrons nozzle, CN2 is a chevron with alternating angles and CN3 is chevron with more number of chevrons. Fluctuated velocity profiles were measured at x/D = 2 at different radial locations along characteristic direction using hot-wire technique. The purpose of these measurements and comparison is to study the variations in the flow field with the different configurations of chevron, which might be related to the acoustic field. CN1 nozzle has a 40dB turbulent kinetic energy reduction compared to the baseline nozzle CN0, and CN2 has the highest turbulent flow field, which is a mixture of low, medium and high velocities corresponds to three directions. CN3 has the most similar mean velocity and turbulence intensity profiles, this may be caused by the under developing jet flow field.
Research on the Influence of Fear Appeal on APP Users’ Privacy Protection Behavior: An Empirical Study
Authors: Zhu Peng , Hu Jian , Zhu Xingzhen
Published: April 2020

Under the background of Big Data Era, this paper explores the influencing factors of APP Users’ Privacy Protection Behavior based on the theory of fear appeals. We used scene-based questionnaire to collect the needed data. We found that selfefficacy, fear and response efficacy have a positive impact on APP users to adopt privacy security measures wishes. We did not include other influencing factors such as threat control, fear control and social factors in this study. This paper has some reference and reference significance for APP operators and service providers who provide third-party network security.
Interpretable Recommendation System Based on Knowledge Map Features
Authors: Chen Hongyu , Liu Jingyang , Yang Mao
Published: April 2020

At present, it can be explained that the recommendation system is mostly designed for a specific recommendation model, and its scalability is weak. It is not enough for the emerging recommendation models, such as complex and mixed models with deep neural networks.Knowledge maps as a highly readable external knowledge carrier provide great possibilities for improving the ability of algorithms to interpret.In essence, the knowledge map is intended to describe the various entities or concepts and their relationships that exist in the real world, which constitute a huge semantic network diagram, nodes represent entities or concepts, and edges are composed of attributes or relationships.Based on the current research status, this paper analyzes and studies the concept of knowledge map, the combination of knowledge map and recommendation system, the object of interpretability and the application of knowledge map in interpretability model, combined with relevant recommendation models. The knowledge map, open up the relationship between the media, flexibly choose the most suitable medium according to the specific situation to recommend and explain the user.