bluuebunny/crossref_metadata_2025 huggingface dataset:
Financial Information Security Using Modular Communication
Authors: Wang Wenwen , Zhang Yanwei
Published: December 2019

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Design of blanking and drawing stamping die based on the perspective of human capital and job characteristics
Authors: Bao Yongxia
Published: December 2019

From the perspective of matching people and posts, this paper intends to improve the work efficiency of first-line workers in the manufacturing industry through the transformation of existing molds, and improve the performance of enterprises. The main content of this paper is to produce blanks for muffler end caps with molds, to develop relevant process routes, and to design molds for production. The process route mainly includes two processes of blanking and deep drawing, and is designed as a blanking and deep drawing composite die. The selection of the stamping process was based on the review of the relevant materials and the careful analysis of the dimensions formed outside the product; the design of the stamping die comprehensively considered the economics, the stamping processability and complexity of the parts, etc.; The unfolding size calculation is performed by converting to a familiar model without any influence on the shape of the part. Finally, the total assembly drawing is generated according to the requirements of the part structure design and the production parts.
Analysis of current situation of power consumption in eastern cities under the background of new urbanization
Authors: Duan Jinhui , Zhang Chenglong , Shan Baoguo
Published: December 2019

Urbanization is the only way to modernize, and it is also a strong support for rural revitalization and regional coordinated development. 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 new urbanization will affect China’s economic development model and social progress level, thus affecting the total amount, structure and layout of power demand. The eastern region is the most economically developed region in China’s four major regions. Studying its characteristics of urban power consumption under the background of new urbanization will be of great significance to the forecast of power demand in China’s future urban agglomerations.
Research on current situation, risk and Control Strategy of Third-Party payment in China
Authors: Wang Zhe
Published: December 2019

With the rapid development of third-party payment in China, platform operation safety has become the most concerned issue. Based on the analysis of the expansion of third-party payment business in China, the scale of users and the scale of payment transactions, this paper explores the operational risks of the third-party payment platform in China. The influence factors of risk and the evolution of causality are analysed. On this basis, how to control the third party payment risk is discussed.
Analysis and summary of the influence of distributed power supply access on relay protection of distribution network
Authors: Miao Rui , Zhang Guoqing , Li Hongbo , Wang Guizhong , Hou Yingwei , Liu Wenlong
Published: December 2019

After the distributed power supply is connected to the distribution network, it has a great impact on the original relay protection and brings a new challenge to the existing protection configuration scheme. This paper introduces three current protection schemes and inverse time overcurrent protection schemes which are widely used in distribution network at present. This paper summarizes some main relay protection measures including distributed generation at home and abroad as well as their advantages and disadvantages, and finally gives the improvement strategy including distributed generation.
Lévy Moth-Flame Optimization Algorithm Based Fractional-order Load Frequency Control for Hydro-Thermal Interconnected Power Grid
Authors: Yang Dong , Shao Taiheng , Zhang Pengfei , Lei Ming , Ma Huan , Zhao Qihao , Ma Changhui
Published: December 2019

Load frequency control (LFC) is an important method for frequency regulation in interconnected power grids. It is proposed that an improved moth-flame optimization algorithm based fractional-order PID load frequency control for hydro-thermal interconnection grid. The Lévy flight strategy is introduced into the moth-flame optimization algorithm to optimize the parameters of the fractional-order PID controller to improve the convergence speed and optimization accuracy. In order to verify the effectiveness of the proposed method, a simulation model of LFC system for the three-area hydro-thermal interconnection grid is established. Considering the limitations of the nonlinear factors such as governor dead band (GDB) and generation rate constraint (GRC), the proposed algorithm is used to search for the optimal fractional-order PID controller parameters. The simulation results under step load disturbances how that the proposed method has good robustness and control effect.
Study on Seismic Consciousness of Adolescents in Earthquake-prone Areas
Authors: Xu Yanhua , Wang Guiyu , Tan Bo , Yang Yan
Published: December 2019

In this study, 75 people were selected from the P school of Sichuan Province in the earthquake-prone area for a 40-minute paper and pencil test with six open questions, including the explanation of earthquake, the understanding of the earthquake prone area, the reason for the earthquake prone area, the impression of the earthquake, the behavior at the time of the earthquake and the design of the earthquake prevention plan. It was found that the subjects’ overall seismic consciousness level was high, but the level was uneven. In the specific project test the polarization was more serious. In addition, except for the behavior at the time of the earthquake, the results of other earthquake awareness tests were higher in girls than in boys.
A review on route choice behavior and volume control of passengers in urban rail transit network
Authors: Zhang Jiamin
Published: December 2019

The Urban Rail Transit (URT) network possesses the features of multi-route and big volume of passengers. To study the route choice behavior and volume control of passengers is a bridge to match the capacity supply and passenger demand in URT network. It’s also a crucial problem proposed by the networked operation of URT. We analyze systematically the effect factors of passengers’ route choice behavior and related research on passenger volume control in URT network, as well as the updated representation of URT network and nature of passenger demand. Then we set up the integrated calculation formula for general travel cost in URT network. afterwards, we summarize the classical research method for route choice behavior, including its main study procedure, the search and identify method for effective routes, logit model, probability distribution model, multi-agent simulation and calculation of the match probability by using big data e.g. AFC data. Importantly, we propose the framework for joint comprehensive prediction of passenger route choice behavior and volume control in URT network based on big data, which displays the mind map of passenger-flow-based prediction control and intelligent decision for future study. This review has great theoretical and practical meanings in improving the service efficiency and quality of URT, so as to balance the load of each line and station in URT network, as well as to reduce or eliminate the passenger waiting time for those being left behind because of congestion.
Research on Fault Diagnosis of Vehicle-mounted Network Communication Based on CAN Bus
Authors: Chen Yiqing , Li Qinyi , Luo Qin
Published: December 2019

Aiming at the difficulty of vehicle-mounted network communication diagnosis technology and comprehensive working principle of automobile trunk communication, the key technologies of vehicle-mounted network communication diagnosis are extracted. Based on the characteristics of CAN Bus technology, the working principle of CAN Bus is stated. The typical fault diagnosis and key technology analysis and research of CAN Bus network information transmission are carried out. The efficient and feasible diagnosis method is proposed, which has high application and reference value.
Research on Influence of Power Carrier Communication on Smart Energy Meter
Authors: Gu Zhen , Zhao Fang , Chen Jintao
Published: December 2019

In order to enable the smart energy meter to conduct trade settlement work in a normal and stable manner, in order to ensure the interests of both power users and power companies, the impact of power carrier communication on smart energy meters is studied. Through the carrier communication impact test of various bandwidth, frequency and intensity, it analyzes whether it has influence on the metering function, timing function, storage function and carrier communication function of the intelligent electric energy meter. The test analysis of the system provides data support for the in-depth study of the energy meter detection method and the operating environment.
Research and Analysis on the Integration of Power Communication Technology and Information System
Authors: Fang Zeya , Wang Xiaobei , Liang Chao , Zhou Qizhi , Zhou Jinglin , Wang Xia , Chen Shiwen , Chen Peng
Published: December 2019

The integrated development of information and communication technologies has a positive effect on the management level and safe production of power companies. It can change the situation of weak technical services and single management mode, and achieve healthy and stable development of enterprises. In order to accelerate the process of convergence of information and communication technologies, power companies must continue to innovate in maintenance and operation, so that they can better play a role in grid production and operation, and help enterprises create a first-class power grid.
A SCADA platform architecture for cloud-based micro-service system with real time data process
Authors: Liang Shouyu , He Chaolin , Fang Wenchong , Zhou Zhifeng , Li Yingchen , Wang Yichang
Published: December 2019

This paper proposes a SCADA platform architecture for cloud-based micro-service system with real time data process. Firstly, the main functions of the “collection, processing, storage, interaction and display” of the SCADA system are analyzed. Then, based on the micro-service formation principle, the technical solutions of cloud computing and micro-service integration are illustrated. The functions of cloud-based SCADA micro-service system, front collection subsystem and front collection service are analyzed. Finally, the application scenario of the architecture is illustrated.
Research on the use of YOLOv3 image processing algorithm in power plants
Authors: Zhao Junjie
Published: December 2019

The power system is a guarantee system for nation-building, and it is inseparable from the use of electricity everywhere in life. There are many links in the production of power plants that need to be well monitored, but good real-time monitoring has always been a problem. The YOLOv3 algorithm draws on the residual network structure in the target detection of image processing, forms a deeper network level, and multi-scale detection, which improves the detection of mAP and small objects. Applying the YOLOv3 algorithm to the image processing of power plants can effectively improve the efficiency of image detection in power plants. Based on the different network structures of YOLOv3, this paper studies the power plant image processing in terms of detection speed and accuracy. The research shows that although the results of different network structures are different, the application of YOLOv3 in power plant image processing is still at the detection speed. Fast, and its detection accuracy is also very high.
Rapid assessment method for reliability of distribution network
Authors: Zuo Yue , Zhao Fei , Zhu Lianyong , Wang Shicheng
Published: December 2019

In the early stage of power system reliability research, society is in a new stage of rapid development. The primary task of power system is to meet the required power generation, and the impact of unreliable power distribution system on users is increasing. Obvious. Based on the Newton-Raphson method, the mathematical reference model of power flow calculation is established. The set of protection components and their corresponding motion vectors are redefined, and the objective function and network constraints are calculated and passed through the countercurrent in the power flow calculation. The detailed overview of transmission, downstream transmission and reliability assessment, combined with the calculation of relevant values in the relevant examples, further validates the characteristics of downstream and countercurrent transmission, providing a numerical reference for future concrete construction.
Analysis of Terminal Security Access Technology under Ubiquitous Power Internet of Things
Authors: Zhou Chao , Huang Wei , Jiang Haitao , Guo Jing , Wang Ziying
Published: December 2019

In order to explore the effect of safe access of power system terminals under the action of the Internet of things, the safe access technology of power terminals under the Internet of things was studied by means of data analysis. The results showed that under the role of the Internet of things, power system terminals have excellent performance in self-verification of modules and data security detection before access. In the access, its combination of Security Socket Layer (SSL) protocol and improved Support Vector Machine (SVM) algorithm can effectively carry out data transmission evaluation protection and network security maintenance, as well as self-data destruction and remote control of the terminal after access. To sum up, the Internet of things showed a very significant effect on the security level of power terminal before, during and after the access, and greatly improved the work efficiency, false alarm rate and accuracy rate of the terminal in the later period. Therefore, this research is of great significance for the analysis of secure access of power system terminals under the Internet of things.
Comprehensive Evaluation for Differentiated Development of Disaster Resistant Power Grid Based on Essential Security
Authors: Li Ping , Liu Jilong , Tian Hao , Bai Jianhua , Pang Bo , Zhong Wentao , Wang Kun
Published: December 2019

The occurrence of natural disasters and accidents can pose a great threat to the safe and stable operation of power grid. It is of great significance to promote the differentiated development of disaster-resistant power grid. A comperhensive evaluation system should be proposed to assess the differentiated development quality of the disaster-resistant power grid based on the essential sacurity. First, an evaluation index system should be built from many perspectives. Then, an integerated evaluation framework were designed based on the AHP and DEMATEL approaches. Finally, an empricial analysis was performed to demonstrate the feasibility of the evaluation system.
Exact Solutions of the Boussinesq Equation Using the Extended Simplest Equation Method
Authors: Yang Yunjie
Published: December 2019

In this paper, the extended simplest equation method is implemented to find the exact solutions for the Boussinesq equation. The efficiency of this method for constructing these exact solutions has been demonstrated. It is shown that the proposed method is direct, concise and effective, and can be used for many other nonlinear evolution equations.
Research on Image Digital Watermarking Algorithm Based on Matlab
Authors: Chen Jialin , Sun Jun , Ye Lu , Zhan Peng , Zhao Shiwen
Published: December 2019

Digital watermarking technology provides an effective protection method for copyright protection and information security. This paper uses MATLAB’s powerful image digital watermarking function to realize the embedding and extraction of digital image information based on DCT transform domain. The algorithm also effectively attacks the embedded digital image information.
Research on Network Security Risk Assessment Model Based on Grey Language Variables
Authors: Chen Jialin , Zhou Zheng , Tang Yi , He Yi , Zhao Shiwen
Published: December 2019

In order to realize effective network security risk assessment, in the process of quantifying qualitative assessment, in order to eliminate the fuzziness of qualitative assessment and the uncertainty caused by lack of information, this paper studies multi-person multi-attribute assessment method based on Grey linguistic variables, establishes a network security risk assessment model based on Grey linguistic variables, and establishes a network security risk assessment model based on Grey linguistic variables. And use Python to implement the network security risk assessment model.
An Micro Head Positioning Slot Recognition Detection System Based on Machine Vision
Authors: Wang Yu , Wu Zhiheng , Duan Xianyun , Tong Jigang , Luo Liangchuan , Mo Juexian , Liu Hui
Published: December 2019

In view of the rapid development of the current 3C electronics industry and the large scale mass production of various USB charging lines, the identification and detection of various Micro head positioning slots still rely on manual detection, which is not only difficult and inefficient, but also leads to a series of false detection. Therefore, a Micro head slot identification and detection system based on machine vision technology is proposed. Through the self-developed Micro head location slot identification detection algorithm, through the Micro head location slot image binarization processing, Micro head location slot feature segmentation to open and close operation, combined with OpenCV developed Micro head location slot feature location algorithm, Micro head location slot identification and detection. The system successfully completed the identification and detection test of Micro head positioning slot, and the identification and detection speed is fast and the accuracy is high, which is of great promotion and use value.
Design of far field beamforming problem by window function
Authors: Li Dan , Tan Xiaofen , Feng Zhiguo
Published: December 2019

The design of the broadband beam former problem is to find the coefficients vector for all FIR filters such that output fits to a given target spatial directivity pattern in a specified domain. This problem is always very complicated. In this paper, we propose a fast window function method to solve this problem. First, we formulate a simplified optimization problem, where the frequency response function is the decision function. Then an optimal frequency response vector can be obtained by solving this problem. Next we apply the window function to cut off the infinite length of the coefficient. The window function method is efficient and can be applied in real time applications. Numerical example is illustrated to show the efficiency of the method.
Decision Tree Approach for Fault Type Identification of Transmission Line
Authors: Zhang Wancai , Wang Yi , Wang Xingxun , Wang Jianyi , Zhang Kun , Sun Xuri
Published: December 2019

In order to solve the limitation of artificial identification of fault causes and insufficient application of artificial intelligence due to fewer data samples in transmission line faults, a decision tree-based model and method for fault cause identification of transmission lines are studied. Expert support and manual intervention are introduced to verify and confirm the diagnosis conclusions on the basis of automatic diagnosis. It is recognized that the automation of line fault diagnosis and the visualization of the whole process of fault diagnosis can be realized, thus reducing the workload of operation and maintenance staff. Based on the defect data of power company operation and maintenance, the validity and validity of the method are analyzed and verified, which can provide theoretical basis for equipment operation and maintenance decision.
Method for Electricity Distribution Network Expansion Planning Considering Opening Incremental Distribution Network
Authors: Yu Chen , Ye Bin , Wang Xuli , Zhao Feng
Published: December 2019

Market-oriented electricity reform will enable social capital to participate in the investment in incremental distribution grid through market competition and to build or even operate and sell electricity service. The liberalization of incremental distribution network will affect the planning of traditional distribution network. First of all, summarizes the characteristics of incremental distribution network and its impact on the distribution network planning, puts forward the factors that need to be considered in distribution network planning after the incremental distribution network service is released, put forward the distribution network planning and modeling method adapted to the liberalization of incremental distribution network business. Finally, the validity of the proposed planning method is verified by an example of a park.
Numerical Study on Flow Field Characteristics of Interval control valve in Intelligent Well
Authors: Yang Yiwei , He Dongsheng , Xu Liangbin , He Yufa , Ye Zhewei , Zheng Yan
Published: December 2019

Interval control valve (ICV) is an important part of intelligent well. An ICV was designed and its flow field characteristic was analyzed by the software CFX. With the increase of the ICV opening, the thickness of laminar bottom layer became thinner and the average velocity of the main flow zone increased. The opening had greater effect on the average velocity than the pressure differential. When the ICV was opened or closed, there might be a great shear resistance due to the large inlet flow rate. There was a velocity stagnation point at the intersection of ICV entrance and its axis. The turbulent kinetic energy decreased gradually with the increase of the ICV opening. It was proved that the ICV had a good flow capacity, and the downhole fluid did not produce large pressure drop when it flew through the ICV. The ICV opening - flow coefficient curve could guide the operation of the ICV to achieve the purpose of accurately regulating the production of a reservoir.
Application of improved Multiscale normalization
Authors: Zhao Shanshan , Wu Liangqun , Zhang Tianchi , Zhang Jing , Chen Geng
Published: December 2019

In this paper, a method based on neighborhood information is proposed, which adjusts the parameters by using a method of chi square with Gauss weighted distance and the self-adaptability of shared neighbor weighting. And by integrating the nearest neighbor weighted adaptive method, each pixel is automatically given a scale parameter to reduce the need to adjust the parameters. Gauss weighted local neighborhood information is introduced in this paper, to construct the similarity matrix directly on the original image. At the same time, based on the existing graph-cut image segmentation method is necessary to construct a better network graph by using the maximum flow minimum cut. So, a method is applicated, NJW algorithm is replaced by a improved Graph cut which combines the multi-scale analysis method, to improve the efficiency of the original segmentation method and enhance the clinical usability.
Survivability Optimization of the Silo Group Deployment by Agent Modeling and Simulation
Authors: Dai Haifeng , Bi Yiming , Qi Changxing , Zhang Shutao
Published: December 2019

Survivability is an important indicator for the nuclear weapon deployed by silo group. From the view of survivability optimization, firstly, a brief analysis for Aside factors, B-side factors and environmental factors that affect survivability of the silo group is completed, extract the main factors and make corresponding limitations. Secondly, agent modeling method is introduced to establish the silo agent model, detail the model rules, analyze the changes in the deployment status of the silo group using the Markov process, and construct an objective function model for the optimization of the silo group survivability. Finally, simulation based on the objective function is performed, and the simulation result shows that the problem of survivability optimization deployment of the silo group get some sort of solution, which may provide reference for similar military target deployment problems.
Research on Heat Load Distribution Based on Peaking Capacity of Thermal Power Plant
Authors: Zhu Lingkai , Wang Qian , Zheng Wei , Guo Ying , Han Yue , Guo Junshan , Ding Junqi , Lao Jinxu , Zhang Yanpeng , Liu Jun , Shang Panfeng
Published: December 2019

With the rapid development of new energy sources, the peak load regulation of power grids is increasing day by day, while the northern part of China is dominated by cogeneration units. In the heating season, heat supply needs to be prioritized to meet the requirements of peak heating, which further complicates the difficulty of peak load regulation. In order to solve this problem, this paper takes into account the electric thermal characteristics of the unit itself, fully considers the difference of peak load regulation capacity among different types of units, and establishes the peaking capacity optimization model of the whole plant to determine the most thermal load between different types of units. The best distribution plan makes the whole plant have the highest peaking capacity.