bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the High-Quality Development Path of New Energy Vehicle Industry in China
Authors: Liang Yongkang , Zhang Weifeng 
Published: December 2019

Abstract
This paper analyzes the current development status of the new energy vehicle industry in China, and then summarizes the problems from the aspects of core technology, quality, marketing, and supporting facilities. On this basis, It also proposes four paths for the high-quality development, including key technology innovation, industrial policy reform, supporting facilities construction, and long-term development planning. The conclusion provides a theoretical reference for the high-quality development of the new energy vehicle industry in China.
Financial Information Security Using Modular Communication
Authors: Wang Wenwen , Zhang Yanwei 
Published: December 2019

Abstract
The improvement of Internet QoS for the financial system is calculated via the Internet provides a new virtualization resources. Here, we based on the financial information security risk assessment model, which embodies the unproven principles of hardware and architecture. We show not only that write-ahead logging can be made encrypted, distributed, and linear-time, but that the same is true for replication.
Non-Intrusive Load Disaggregation Based on Residual Gated Network
Authors: Cao Hui , Weng Liguo , Xia Min , Zhang Dezheng 
Published: December 2019

Abstract
Non-intrusive load disaggregation is designed to estimate the power consumption of each appliance based on the total power of the appliance in the household. Conventional machine learning algorithms cannot accurately extract semantic information from time series data, which motivates us to implement nonintrusive load disaggregation using residual gated recurrent neural networks model (Res-GRU). First, the networks model use multi-scale convolution kernels networks model extract time series data features, and will get multiple map fusions. Secondly, the networks model use residual learning to deepen the network to extract deep load features. Finally, the networks model use the gated recurrent unit to reset and update high level features. In this way, we can get the output power value of the target appliance. The experimental results show that the proposed network model has a good disaggregation effect.
Energy self-supply automobile exhaust gas circulation processing device
Authors: Huang Shan , Sun Haichen , Tian Bing , Tong Yizhang , Mao Xiaokai 
Published: December 2019

Abstract
Aiming at the energy waste caused by the exhaust emission of about 30%∼40% of the automobile engine energy and the exhaust emission caused by the failure of the three-way catalytic converter to reach the working temperature during the start-up of the automobile, our team proposes a design scheme for energy reuse and exhaust gas treatment of automobile exhaust pipes. The work has the characteristics of simple structure, low cost and strong pertinence, and achieves energy conservation and reduction of air pollution caused by exhaust emissions. The main body of this work consists of an energy conversion system and an exhaust gas circulatory system. Energy conversion system: The heat of the exhaust cylinder wall is reused by the thermoelectric power generation sheet. In order to convert thermal energy into electrical energy with higher efficiency, a heat sink is used to increase the temperature difference between the inside and outside of the thermoelectric power generation chip. The secondary energy utilization can realize the autonomous operation of the exhaust gas circulation system. Exhaust gas circulation system: The system is automatically controlled by single-chip microcomputer STM32F10XX. When the vehicle starts, the automobile exhaust gas would not meet the emission standard. At this time, the exhaust gas is passed into the exhaust gas storage bag, and the temperature of the three-way catalytic converter is monitored by the temperature sensor. When the operating temperature of the three-way catalytic converter is reached, the exhaust passage will be converted by the single-chip microcomputer, and the automobile exhaust gas will be discharged into the air. At the same time, the non- standard exhaust gas in the exhaust gas storage bag is again introduced into the three- way catalytic converter for secondary catalysis by using a micro-extractor. This avoids the situation that the temperature of the three-way catalyst is low and the catalytic efficiency is low, resulting in substandard exhaust emissions.
Research on Engine Failure Diagnosis Algorithm Based on Sound Signal
Authors: Hu Ziyang 
Published: December 2019

Abstract
Effective diagnosis of engine failure is an important factor affecting vehicle safety. Based on infrared, ultrasonic, thermal, vibration and other methods, there are drawbacks such as the need to modify the engine, high deployment costs, etc. In this thesis, a failure diagnosis model of RNN denoising and BP neural network identification based on fbank feature of sound signal is proposed. It is found through experiments that it can effectively diagnose engine failures.
SOC Estimation Algorithm for Seismic Vibrator Power Battery with Considering Temperature Compensation
Authors: Li Qin , Yang Xueying , Li Gang , Ma Lei , Huang Yufeng 
Published: December 2019

Abstract
In the oil-producing areas and densely populated areas in east China, the resistance to seismic vibrator exploration is increasing due to its noise and exhaust emissions. Using electric energy to substitute oil for seismic vibrator is an effective way to solve this problem, and the power battery is one of the keys to ensure the successful implementation. Since the battery exhibits a high degree of non-linearity during discharge and the working temperature is poor, it is difficult to accurately estimate the SOC (state of charge). Therefore, an SOC estimation algorithm considering temperature compensation is proposed to improve the estimation accuracy. Firstly, the paper analyses the algorithm logic, then constructs the equivalent circuit model of the power battery, and establishes the simulation model in Matlab/Simulink. The accuracies of the ampere-hour integration method and the SOC estimation algorithm with temperature compensation are compared. Finally, the reason for the error of the algorithm is analyzed. The simulation results show that the SOC estimation algorithm for power battery considering temperature compensation is more accurate, and the error can be kept below 1.53%.
Research on Computer Information Retrieval Based on Deep Learning
Authors: Wan Chenwei 
Published: December 2019

Abstract
With the growth of digital information on the Internet, online stores, online music, video and photo libraries, search engines and recommendation systems have become the main way people are looking for information quickly.Recently, the development of deep learning has achieved many results in the fields of speech recognition, image processing and natural language processing.In addition, deep learning is also applied in the field of recommendation systems and information retrieval.This paper mainly studies a real-time recommendation algorithm for smart TV based on deep learning.The recommendation of TV program based on dnn and rnn is applied to the content-based method in the recommendation system. Experiments show that the model can effectively solve the problem of data sparsity and can alleviate the cold start in collaborative filtering to some extent.
Research on the Relationship between Financial Correlation and Financing Constraints of Small and Medium Power Plants
Authors: Zhang Li 
Published: December 2019

Abstract
This paper takes small and medium-sized power plants as research objects, and empirically studies the relationship between financial linkages and financing constraints of small and medium-sized power plants. Based on the inductive analysis of the impact of financial associations of power plants in different industrial cycles on the financing constraints of small and medium-sized power plants, it is found that there are still more than 50% of small and medium-sized power generation small and medium-sized power plants still have financial correlation, and financial linkages. There is a significant slow release effect on the financing constraints of small and medium-sized power plants. For power plants in different life cycles, the impact of financial linkages on their financing constraints is different. For small and mediumsized power plants in mature and declining periods, the mitigation effect is more obvious.
Analysis and Prevention of Tube burst in Rear Platen Superheater of Boiler
Authors: Liu Ke , Liu Hui , Hou Fanjun 
Published: December 2019

Abstract
Tube burst occurred on Rear Platen Superheater in No.4 boiler of a power plant. Failed to timely discharge condensate water after an emergency shutdown boiler, and then start again, which leading to water blocking in superheater unit caused tube burst. Contrasting the water blocking accidents recent years in this boiler, corresponding preventive measures are formulated, which have certain reference value to theproblems of tubeburst caused by water blocking of the same type boiler.
Study on the Development Guarantee of Agricultural Industry Energy Diversification Supply under the Background of Rural Revitalization Strategy in Changchun City
Authors: Zhao Lihong , Fu Chaosong , Xu Dan 
Published: December 2019

Abstract
In the report of the 19th National Congress of the Communist Party of China, it was proposed that the rural revitalization strategy should be vigorously implemented, and solving the problem of “agriculture, rural areas and farmers” should be the top priority. China is a big agricultural country, especially the three eastern provinces, which has driven the growth of agricultural economy and also demanded energy consumption demand. So far, the energy constraints of the agricultural industry have approached from the “flow constraint” state to the “stock constraint” state. Based on this, the paper takes Changchun City as an example, implements the rural revitalization strategy, gives play to the driving role of the central city, insists on coordinating urban and rural development, continuously increases the investment in modern agriculture, strengthens the agricultural industrial policy support system, and accelerates the construction of the three major systems of modern agriculture. At the same time, the energy diversification supply strategy is analyzed to achieve agricultural modernization and promote the development of a resource-saving and environment-friendly new agricultural industry.
Study and application of finite time convergence ADRC with dead zone and anti-saturation disturbance compensation
Authors: Wang Yuanqing , Wang Qi , Yuan Jian , An Liang , Su Juan , Wang Xiaohai 
Published: December 2019

Abstract
For the problem of frequency operation and the saturation of control input of the controller which caused by the unpredictable load disturbance of propulsion system, the active disturbance rejection control (ADRC) with dead zone and saturation disturbance compensation is designed. The dead zone and anti-saturation disturbance compensation module are introduced into the observer to reduce the operating frequency of the propulsion control system under load disturbance and to improve the control performance when the control input is saturated. However, the error feedback part of ADRC uses the finite-time sliding mode feedback. Simulation results show that the proposed algorithm reduces the operating frequency of the control system and improves the control performance when the control input is saturated.
Design of multi-stage charging power supply for TETS lithium battery based on PNGV model
Authors: Zhang Kexin , Han Siwei , Chen Shiyu , Xu Minhu , Zhang Hongda , Zhang Dewen 
Published: December 2019

Abstract
In this paper, a multi-stage TETS charging system of the PNGV model of lithium-ion battery is proposed based on on the analysis of the equivalent circuit model of lithium-ion battery and the existing charging method. Using this system, the charging speed is increasing while the polarization and the temperature rising is suppressed. Taking into account the charging quality of the the lithium-ion battery, the actual charging curve is closer to the optimal charging curve in this system. Combining MATLAB and SIMPLORERMAXWELL multi-platform, the effectiveness of the scheme is verified by joint simulation. The simulation results have theoretical research and practical application value for the establishment of TETS charging system platform for lithium-ion battery.
Finite Element Analysis of a Large Power Station Shelter
Authors: Ding Youyong , Zhang Sihua , Wang Huang 
Published: December 2019

Abstract
This paper discusses the structural design of the structural design of a large power station shelter. In order to meet the lifting and weight control requirements of the shelter, the sub-frame and the shelter are integrated and lifted from the sub-frame during lifting. The solid model of the framework is built under the environment of CREO 2.0, and the finite element model of the cabin and the sub-frame structure is established according to the material attributes of the cabin and the sub-frame. The boundary condition is set in hoisting condition, and the static analysis of cabin and sub-frame structure is carried out under hoisting condition. The stress and strain state are obtained to ensure that the design of cabin structure meets the requirements of rigidity and strength of the system. The structure is optimized according to the analysis results, which can provide reference for the structural design of similar products in the future.
Analysis on the influence of tuning area fault on the transmission characteristics of ZPW-2000 track circuit
Authors: Shu Zhanyi , Zheng Yunshui 
Published: December 2019

Abstract
Based on the operating principle of ZPW-2000 track circuit, the influence of the fault of the tuning area on the transmission characteristics of ZPW-2000 track circuit was analysed. Firstly, the four-terminal network model of the track circuit was established by using the transmission-line theory. Secondly, the transmission characteristic equation from the transmitting end to the receiving end was derived. Finally, the most unfavourable conditions were determined and the voltage at the receiving end of the track circuit and the frequency envelope of the circuit were simulated respectively. The results shew that the fault of the tuning area could have a great influence on the transmission characteristics of the track circuit. This mathematical model can provide a theoretical basis for the study of the fault protection capability of the track circuit to the tuning area.
Research on Improved Speed Identification Technology Based on MRAS
Authors: Li Pengfei , Qiu Qunxian , Li Xuan 
Published: December 2019

Abstract
In order to accurately realize the asynchronous motor speed recognition, an improved speed recognition method based on MRAS is proposed, the motor body is used as the reference model and the stator current is used as the adjustable model. Based on MRAS, Considering the problems such as the poor output torque pulsation and high current harmonic content due to the influence of pure integral link, the low-pass filter plus compensation link is used to replace the pure integrator, the full range of stability is introduced on the basis of popov super-stability, and a new method of dead zone compensation is proposed. Finally, finally, in the simulation and experiment, the whole asynchronous motor speed sensorless MRAS is tested. Through the observation and comparison of the actual rotor speed and estimated speed curve, and the analysis of the speed error curve, the system can be accurately estimating the rotor speed and have a good static performance.
Power consumption of central cities in the context of the rise of Central China
Authors: Duan Jinhui , Shan Baoguo , Xu Zhao 
Published: December 2019

Abstract
In March 2004, Premier Wen Jiabao of the State Council explicitly stated for the first time in the government work report to promote the rise of the central region. In March 2014, the State Council issued the “National New Urbanization Plan (2014-2020)”, which is a macroscopic, strategic and basic plan to guide the healthy development of new urbanization in the future. The central region is a key area to undertake China’s industrial transfer. Studying the characteristics of power consumption in urban agglomerations under the background of the rise of the central region and new urbanization will be of great significance to the scientific rationality of future power demand forecasting.
Research on Software Architecture Optimization of Cloud Computing Data Center Based on Hadoop
Authors: Yu Jun , Zhu Guangxin , Chen Haiyang , Wang Lin , Xu Mingjie 
Published: December 2019

Abstract
This paper introduces the architecture optimization design of high performance cloud computing data center (HCDC), and proposes an efficient parallel algorithm based on Hadoop system and MapReduce framework. The performance of the algorithm in big data analysis and processing, and the impact of the algorithm on energy efficiency are studied. Finally, the challenges of future work in this area of research are discussed.
Tracing Source and Security Audit of Entity Behavior in Core Business of Power Grid
Authors: Yang Huafei , Liu Kun , Xu Rui , Chen Mengxian , Chi Xiaojin , Cai Yiting , Jiang Teke 
Published: December 2019

Abstract
Log-based security audit plays a key role in the safe operation of the system and evidence collection, Log auditing can effectively detect relevant threats and provide warnings in time, it can also trace the traces of entity behavior through logs. The log audit of the power grid is currently handled by the audit center. The audit center records the entire operation process and provides audit record query. But the research on the audit center system found that the audit center lacks security protection for the logs. Aiming at the above problems, a log anti-tampering system based on block chain technology is proposed, which uses block chain storage structure and underlying cryptography technology to ensure that the log cannot be tampered with. The test results show that after the log is protected by this method, it takes a lot of cost to tamper with the log without being detected, which effectively ensures the security of the log.
Research on Wake-up Mechanism of Wireless Sensor Network Nodes
Authors: Hao Xiaolu , Lin Hai 
Published: December 2019

Abstract
The traditional node wake-up mechanism usually takes the huge cost of network energy and fails to consider the expensive price of the sensor node. In order to improve this shortcoming, this paper studies the wireless sensor network monitoring area coverage rate of 100% in the existing an improved node wake-up mechanism problem is proposed in the node wake-up mode. Firstly, the problem is transformed into SAT (the satisfiability of Boolean equation), and then the MiniSAT solver is used to solve the answer. The wireless sensor network is reached with as few working nodes as possible. The complete coverage of the monitoring area and the reduction of network energy consumption show that the new node wake-up mechanism can reduce the number of active nodes in the wireless sensor network monitoring area, improve network energy utilization, and reduce the application of WSN (wireless sensor network). Cost, driving the application of wireless sensor networks.
An Improved Arnold Image Scrambling Algorithm
Authors: Liang Rui , Qin Yanyan , Zhang Chengnan , Lai Junxiao , Liu Miao , Chen Mingrui 
Published: December 2019

Abstract
In recent years, with the rapid development of the Internet, our life has undergone tremendous changes, and the Internet has become an indispensable part of us. With the popularity of the Internet, more and more people use the Internet to transmit multimedia information such as images [1]. Studies have shown that about 75% of human information from the outside world comes from the visual system, that is, from images. Image is not unfamiliar to us. However, in recent years, the security of image information in the transmission process has become increasingly prominent. Such image information as cases, design drawings and so on need to be encrypted when they are transmitted on the Internet. Scrambling technology is an image encryption technology. There are many commonly used image scrambling algorithms. This paper first introduces the image scrambling algorithm based on Arnold transform. Then, in order to improve the image scrambling performance, the application of Arnold transform matrix in image scrambling is analyzed. On this basis, a double scrambling image encryption algorithm based on two-dimensional Arnold transform is proposed. This algorithm uses two-dimensional Arnold transform at the same time. Gray scale and position scrambling [3]. The simulation results show that the improved algorithm can achieve better scrambling effect and encryption effect, which is conducive to the study of image encryption.
The Design of Flow Proportional Control Valve Test Equipment
Authors: Kong Guangming , Wang Zhanyong , Zou Gang , Guo Gang , Song Dan 
Published: December 2019

Abstract
The basic working principle of the flow proportional control valve of a certain type of airplane is introduced in this article. The configuration, function and characteristics of flow proportional control valve test equipment are mainly introduced, and the automatic control system of which was designed by use of panel computer, PLC and frequency converter. Finally, the reliability and the practicability are validated by amounts of atopic experiments.
Analysis and design of an intelligent fire alarm system for UHV Substation
Authors: Hao Yanjun , Zhang Yugang , Wang Zhiguo , Liu Xiaokun , Chen Mingxia , Yang Liu 
Published: December 2019

Abstract
At present, the fire accidents caused by power equipment operation in substations are on the rise, especially for large transformers and high-resistance oil-filled equipment. The fire hazard and harm of electric power equipment can not be ignored. With the improvement of substation automation, Higher Requirements are put forward for fire safety, reliability, fire efficiency and preventive measures, so it is necessary to analyze and design the intelligent fire control system of UHV substation.
Research on Interruptible Load Management of Electric Vehicle Charging Considering Price Risk
Authors: Luo Jinhu 
Published: December 2019

Abstract
The rapid development of electric vehicle industry promotes the construction of charging infrastructure and charging station. In the operation of charging station, how to ensure the stable profit of charging equipment under the condition of excessive charging load has become a crucial issue. Based on this, this paper focuses on how charging stations sign interruptible load contracts with users during peak load period and consider their risk coefficients to formulate optimal competition strategies so as to maximize expected profits. Finally, the problems and conclusions are summarized.
Optimal Selection Method of Spacecraft Initial Orbits based on Grey Relational Analysis
Authors: Xu Yinghao , Dai Yunchao , Ni Chengang 
Published: December 2019

Abstract
The spacecraft measure ship need to optimize spacecraft initial orbits in a large number of multi-source orbit data during the spacecraft TT&C mission. To solve this problem, an initial orbits optimization method for spacecraft based on grey relational analysis was proposed, this method is in line with the actual situation of the spacecraft measure ship. By converting the evaluation attributes and combining statistical analysis with past experience, the optimal indicator set was determined. Finally, the evaluation model of the spacecraft’s initial orbit was established. Then using a satellite transfer orbit as an example to prove that the method is reasonable and correct.