bluuebunny/crossref_metadata_2025_split huggingface dataset:
The intelligent monitoring of powder material extraction production process
Authors: Hu Qingzhong , Wang Zhantao , Lu Xinjia , Luo Yi 
Published: March 2020

Abstract
Deep processing of rare earth powder materials is a traditional labour-intensive industry, and low production efficiency and poor production environment are prominent problems. With the development of wireless communication, low-power chips, artificial intelligence and other technologies and the reduction of its cost, it has provided favourable conditions for the traditional industry to achieve intelligent monitoring and intelligent fault detection to catch up with the current trend of intelligent industrial development. By analyzing and comparing various current intelligent algorithms, it can be applied to the powder material extraction production process, which can improve the automation degree of the extraction production process, reduce resource waste, save costs, and make the production operation more economical and effective.
Research on “source-grid-load” coordination operation index system of ADN
Authors: Liao Zheng , Li Xiaotian 
Published: March 2020

Abstract
With the large-scale access of distributed generation (DG), the passive distribution network with one-way flow has been replaced by the active distribution network (ADN) with two-way flow. The existing research of grid interaction does not consider the problem as a whole. Rather, it only aims at one partial aspect, for instance, source-grid interaction or user interaction. Moreover, former researchers haven’t set an accurate and comprehensive index system to evaluate the level of interaction. The “source-grid-load” index system of active distribution network was established from four aspects of safety, economy, environmental and coordination, and the specific calculation method of every index was given as well. The index system can promote understanding of AND.
Study on the Influence of Distributed Conductive Capacitance on CVT Error haracteristics on Test Wire
Authors: Li Jinjin , Mo Fanghua 
Published: March 2020

Abstract
The CVT reduces the primary voltage proportionally by the voltage dividing capacitor. When there is a distributed capacitance, the voltage division ratio changes, which affects the accuracy. When performing CVT field error test, it is necessary to attach a test wire to the CVT. When the distance between the connected test wire and the CVT casing is insufficient, the distributed capacitance will be introduced. The distributed capacitance is superimposed on the CVT’s own capacitance, resulting in the CVT unnormal partial pressure ratio. This paper quantitatively analyzes the distributed capacitance introduced by the test wire with the change of the mounting angle to the tested CVT, and obtains its quantitative influence on the error data. According to the degree of influence, the recommended angle of the test wire is given according to the degree of influence. The on-site error test ensures that the test data is accurate and has great significance.significance
Research on the Measurement of Zero Sequential Equivalence Impedance of Double-circuit Transmission Lines
Authors: Guan Shuai , Liang Zhirui 
Published: March 2020

Abstract
The measurement of transmission line parameters is often affected by adjacent lines, especially the measurement of zero-sequence impedance parameters is affected by mutual inductance between lines, thus affecting the measurement results. This paper establishes the double-circuit transmission line model to verify the change of zero-sequence impedance parameters of transmission lines when the spatial layout of double-circuit transmission line in different interference signal carriers and the size of interference signal are different. The variation law of zero-sequence impedance parameters of transmission line affected by interference lines is summarized. It provides a reference for the subsequent setting of relay protection devices for transmission lines.
A Control Strategy for Two-stage PV Grid-connected Inverter Based on Voltage Oriented Control
Authors: Zhang Yiyan , Tang Xiaobo , Shen Zhongyu , Chen Xiao , Feng Yulong , Xu Yanwei 
Published: March 2020

Abstract
For the design of three-phase two-stage grid-connected PV inverter, the topology and control strategy of two-stage grid-connected inverter are analyzed. For the DC/DC converter control strategy, the shortcoming of conventional perturbation and observation method are analyzed, which is difficult to obtain high response speed and steady-state tracking accuracy due to its fixed disturbance step size. A duty cycle self-optimizing MPPT method is adopted and effectively alleviates the contradiction between tracking speed and accuracy. For the DC/AC converter control strategy, the grid voltage oriented vector control is adopted based on the analysis of the mathematical model of rotating coordinate. The current decoupling and grid voltage feedforward control in dq coordinate system are carried out. The control system parameters are designed and verified to be feasible.
Research on Performance of Anti-metal RFID in Field Test of Type and 500kV Substation
Authors: Yang Maotao , Tan Haibo , Liu Mouhai , Chen Xiangqun , Huang Rui , Liu Qin 
Published: March 2020

Abstract
With the rapid increase of power equipment and increasing the size of the stock, the traditional means of maintenance of operation and maintenance can not meet the new needs of modern operation and maintenance, the urgent need to improve the level of power transmission equipment and power transmission equipment, intelligent perception of lean management level. RFID tags have been widely used in all parts of the state grid system, the performance difference showed against the anti-metal UHF RFID tags in different environment, this paper analyzes the different specifications of the anti-metal UHF RFID tag performance in the laboratory environment type test and the substation environment. Through laboratory environment simulation test and substation field environment test, research the frequency range and interference intensity of field electromagnetic interference in Substation, to get the main reasons that affect the performance of the anti-metal UHF RFID tags. It has certain value on research the interference mechanism of substation anti-metal UHF RFID tags and anti-metal UHF RFID tags application promotion.
Study of Influence of Environmental Factor on Capacitive Equipment On-line Monitoring Based on the Grey Relational Analysis
Authors: Ning Wang , Lin Xing , Yu Ren , Peng Wu 
Published: March 2020

Abstract
Dielectric loss factor tanδ detected by capacitive equipment online monitoring system will be affected by environmental fluctuations, thereby affecting the failure predication of the equipment and probably causing false positives or false negatives. This paper has established a grey correlation model that detects the influences that major environmental factors (temperature, humidity, contamination) have on online tanδ monitoring value for capacitive equipment. The actual onsite online monitoring data were employed to obtain the gray correlation degree between various environmental parameters and tanδ for capacitive equipment. The results indicate that there is a strong correlation between tanδ and environmental factors, and each effect weight will show seasonal differences with changing environmental conditions. Further, it has discovered that the ambient relative humidity of 60% with ambient temperature is the critical value that influences weight change, which provides a reference for the insulation diagnostics of subsequent capacitive equipment.
Research on Voltage and Frequency Regulation of Micro-Grid with Distributed Energy Storage
Authors: Feng Yulong , Deng Kai , Tang Xiaobo , Shen Zhongyu , Chen Xiao , Zhang Yiyan 
Published: March 2020

Abstract
Aiming at the increasingly widespread use of distributed energy storage, building a model of distributed energy storage for Micro-Grid voltage regulation and frequency modulation. The waveforms of the frequency, active power, reactive power and bus voltage of the Micro-Grid are given. Firstly, the control method of distributed energy storage inverter - droop control is introduced. Secondly, based on MATLAB/Simulink platform, a Micro-Grid model with distributed energy storage system output to adjust voltage and frequency is built. Through the simulation, the role of distributed energy storage in the Micro-Grid is verified, which lays a foundation for the research of distributed in the Micro-Grid.
Calculation of Dynamic Hysteresis Loss of Power Transformer under Harmonic Background
Authors: Meng Shaoxin , Cui Xue , Li Zhexu , Liu Jianben , Li Qionglin , Du Zhiye 
Published: March 2020

Abstract
The construction of smart grid uses a large number of power electronic equipment, which leads to the increase of harmonic content of transformer core winding, and brings some difficulties to the calculation of core loss. In order to study the influence of harmonics on core loss, a dynamic hysteresis loss model of transformer core under harmonics is established. On the basis of J-A static hysteresis model, the calculation methods of eddy current loss and abnormal loss under harmonic wave are deduced, and the calculation method of core loss under harmonic wave is established according to the principle of energy conservation. The core loss of three-phase transformer is simulated and verified by experiments under different harmonic frequency and harmonic voltage percentage. The results verify the validity of the model.
A Recognition Scheme Based on K-means Feature Clustering for Obscured Apple Object
Authors: Li Baiping , Jing Xiaomei 
Published: March 2020

Abstract
At present, the recognition effect of the mature apple automatic picking vision system is not ideal. To solve this problem, this paper proposes a method based on K-means feature clustering for the recognition of the occluded apple object. That is, using K-means algorithm to cluster the image in L*a*b color space, and using the *a component to distinguish the object from the background to improve the segmentation accuracy. Then, the real contour of the segmented object is extracted by using the convex hull algorithm. Finally, the least squares algorithm is used to reconstruct the extracted object contour. The experimental results show that the proposed scheme can accurately segment and recognize the occluded apple object, which lays a solid theoretical foundation for the application of apple automatic picking vision system to achieve precise picking.
The design of 1553b relay circuit based on FPGA
Authors: Han Zhonghua , Huang Chengcheng , Peng Jiayu , Wang Shuai 
Published: March 2020

Abstract
On the basis of increasing the transmission distance of the 1553B bus, in order to maintain the simplicity and stability of the bus and improve its anti-jamming ability, the 1553B signal relay circuit based on FPGA is designed in this paper. The signal transmission part is consists of the software and the hardware, and the chip of ZYNQ series is used in the FPGA. Firstly, the transmitted signal oscillation is transformed into a group of positive and negative differential signals, which are realized by transformer (pmdb25). Secondly, the signal is sent to the main control chip of ZYNQ series through signal acquisition chip and level conversion chip. Finally, the data is processed by software program and forwarded to the receiver. The specific experiments have been done on the 1553B signal transmission platform, which significantly show that the proposed scheme is reasonable and reliable.
A narrowband interference suppression method based on adaptive WPT
Authors: Zhang Lanying 
Published: March 2020

Abstract
A narrowband interference (NBI) suppression method based on adaptive WPT is proposed. Firstly, the optimum parameters of the frequency shift and the highest resolution level are selected using Genetic algorithm. Then the adaptive wavelet packet decomposition based on parity checking is done to the shifted signal. Finally the interference-free signal is obtained by setting the sub-band with interference to zero and being reconstructed. Simulation results show that this algorithm can both suppress single tone and multi-tone interference effectively.
Research on Case Design of Electric Energy Meters Reliability Detection Based on Equivalent Class
Authors: Liang Jie , Jiang Wenqian , Li Jinjin 
Published: March 2020

Abstract
The existing test scheme of the automatic reliability testing device for electric energy meters has the problem that it is difficult to achieve comprehensive and efficient test according to the requirements of technical specifications. In order to improve the optimal design level of automatic reliability test scheme for electric energy meters, three common fault types, i.e. protocol consistency, limit type test and fault tolerant type test, are analyzed. Then on this basis, the design requirements of their common test items, the design ideas of test schemes and the basis of conformity judgment are studied respectively. On this basis, the design requirements of typical test items, the design ideas of test schemes and the basis of conformity judgment are analyzed respectively. Based on the theory of generating test cases of equivalent classes, the process of identifying and generating test cases of equivalent classes is given, and the process of simplifying test cases of equivalent classes based on decision table driving method is given. Finally, the factorial test design method and the method of generating test cases are compared by taking several different types of electric energy meters from different manufacturers as examples. The situation and test efficiency verify its effectiveness.
State Early Warning Technology for UHV AC Substation Equipment
Authors: Wang Ning , Liu Xuefei , Wu Peng , Xing Lin , Wang Suo 
Published: March 2020

Abstract
With the development of UHV power transmission and transformation projects in China, as a key technology to prevent power grid accidents caused by faults of power transmission and transformation equipment, the state early warning technology of UHV AC power transformation equipment urgently needs to carry out and perfect corresponding research. This paper introduces the key technology of state warning for UHV AC substation equipment, and analyzes the principle and method of state alarm technology. And put forward the views on the current problems and future development of UHV AC equipment status warning technology.
Research on the online temperature measuring device in outdoor high-voltage isolation Switch
Authors: Hu Ran , Du Xuecheng , Hu Guojun , Hong Meng , Jiang Rufeng , Wei Tengfei , Deng Erhong , Li Yongjian 
Published: March 2020

Abstract
In view of the frequent overheat or even fusion accidents of outdoor high-voltage isolation switch contacts in operation, and they are serious threats to its equipment security and the reliability of power network. To mitigate and reduce the influence effected by abnormal heat of isolating switch contacts, this paper describes the structure of the temperature measuring device, the temperature chip, the wireless communication mode. Moreover, the on-line temperature measuring device’s characteristic of structure and function was summarized. The experimental dada shows that the device has large measuring range, high precision, high reliability and availability. In order to understand the operation status of outdoor high-voltage isolators, the device can realize real-time measurement the temperature without the technical personnel at the scene.
A Power Metering Pipeline Fault Warning Method Based on Deep Learning
Authors: Zhao Shuhua , Xing Yiling , Chen Xiaohui , Ou Yongjian , Zhang Wanting , Lin Bingfeng 
Published: March 2020

Abstract
With the continuous deepening of the informationization and intelligentization of the electric power industry in China, the fault early warning and diagnosis system of the electric power verification system in China reflects the current situation of insufficient intelligentization. Traditional fault diagnosis system collects operation data of verification system through sensor network, acquisition network and log message technology, and then carries out manual or semi-manual fault detection and processing. There is a small amount of data collected, and the traditional data mining methods such as expert judgment method, decision tree method and SDG model have low efficiency and poor diagnosis effect. In view of this situation, this paper introduces deep learning technology into the verification system of automated pipeline, realizes the integration of fault early warning and diagnosis, builds a fault classification model for automated pipeline based on deep learning neural network, and tests and verifies the effect of model early warning with actual system operation data. The validation of the algorithm gives the result of fault early warning in the form of probability, fully considers the factors affecting the interaction between the pipeline and equipment, has a better effect of fault early warning provides more accurate reference for fault detection and prevention of automated pipeline.
On the Problem of Inertia in Classical Mechanics
Authors: He Boshan 
Published: March 2020

Abstract
From Newton’s classical mechanics to Einstein’s relativistic mechanics, people have a deeper understanding of the nature. In Newton’s classical mechanical system, there is an absolutely static space, which is called absolute space. In this way, the inertia of the object can be considered to be caused by the acceleration of the object. But in Einstein’s view of time and space, there is no absolute space at all, so the origin of inertia becomes a problem.
RETRACTED: Research on Risk Causes and Preventive Strategies of Enterprise Internal Audit Inspection Based on Computer Simulation Technology
Authors: Liu Linjun 
Published: March 2020

Abstract
Enterprise internal audit institutions and internal auditors often need to face various internal audit risks arising from macro-policy environment, internal environment of enterprises and problems of auditors themselves when performing internal audit tasks. In recent years, with the improvement of relevant laws, the independence of internal audit management of enterprises has been weakened to a certain extent, which leads to the great risk of internal audit work in most enterprises in China. Therefore, enterprises must proceed from their own reality, through the improvement of the system, strengthen the management of the eyelashes, quality improvement and other preventive measures to achieve the purpose of reducing internal audit risks. This paper demonstrates the establishment and implementation of the simulation model for the specific problems of the internal audit of the enterprise, and explains the application of computer simulation technology in the internal auditing risk causes and prevention strategies.
Research on Network Architecture and Communication Protocol of Network Virtual Reality Based on Image Rendering
Authors: Yang Guohui , Xu Mengde 
Published: March 2020

Abstract
With the rapid development of communication technology, mobile Internet technology and intelligent terminal technology, virtual reality (VR) system-related equipment has been highly integrated and internetized, forming a framework composed of terminals, content generation systems, application platforms and network transmission systems. Image-based rendering is a new method to realize virtual reality system. It overcomes the shortcomings of 3D graphics method. The key of virtual reality is the construction of virtual environment scene. In order to ensure the high interaction and real-time of VR system, this paper expounds the technical methods to meet the practical needs of VR wireless network transmission from the aspects of improving the transmission efficiency of VR wireless network, optimizing the network communication protocol and improving the transmission bandwidth of wireless network. The network structure and communication protocol of network virtual reality system are studied based on image rendering. Finally, a prototype of network virtual reality system for remote industrial control based on web is given.
Design of Cigarette Factory Based on Bim and System Integration under Industrial Monitoring
Authors: Wang Lin , Xu Shengnan , Tao Zhilin , Zhang Qidong 
Published: March 2020

Abstract
BIM, as a kind of building visualization modeling technology, Original applied to the fields of engineering and construction. For cigarette factory design, BIM can realize efficient and convenient information assistance. BIM Technology combines all links and contents of engineering construction into a whole model by means of information technology, and can make changes according to the actual situation, which brings great convenience to the construction of cigarette factory and has very strong practicability. As an important information acquisition and feedback system of industrial system operation, industrial monitoring system can monitor industrial process through data, visualization and other technical means. It is of great significance to combine the two organically and explore the application of building model in the process of industrial monitoring for the design and operation of cigarette factory, as well as for the exploration of BIM’s full life cycle application.
Application of Traceability System for Dumping Garbage of North Canal Embankment Based on Ai Artificial Intelligence Recognition
Authors: Du Xiaofei 
Published: March 2020

Abstract
Based on the analysis of the process of retrospective management of dumping garbage in the North Canal embankment, the AI artificial intelligence technology is proposed for image recognition of the retrospective system of dumping garbage in the North Canal embankment. The developed system can accurately obtain the photo information, and analyzes the design and implementation process of the river dike dumping traceability system by taking the dumping of the North Canal River Dike as an example.
Analysis on the Key Points of Architectural Design of Underground Totally Buried Sewage Treatment Plant
Authors: Wang Guoying 
Published: March 2020

Abstract
With the continuous improvement of urbanization level and people’s living environment requirements in China, especially in some large-scale urban built-up areas, traditional surface sewage treatment plants occupy a large area, and the problem of environmental pollution around the plant area is becoming increasingly prominent, which seriously affects the production and living environment of the surrounding land market and residents. Therefore, the construction of underground sewage treatment plants that occupy less space, save land resources, and treat parts with little odor spillage, while beautifying the city appearance and increasing the area of urban green space will become the new development trend and direction of large-scale urban sewage treatment projects.
Research on Intelligent Informationization of Cigarette Processing and Production by Mes System
Authors: Xu Shengnan , Wang Lin , Huang Qilu , Mao Yongwei 
Published: March 2020

Abstract
Cigarette processing and production process is essentially a production and implementation process, which has little difference with other production enterprises. With the deepening and development of information construction, the introduction of MES system makes the digitalization of new cigarette processing and production process further integrated and refined. The original production units have been scientifically organized through MES. But with the country’s encouragement of intelligent manufacturing and the stimulation of domestic and international environment, intelligent information technology has been put on the agenda. Different from MES, intelligent informatization pays more attention to production intelligence, big data application and Internet of things. Based on the information system constructed by MES, intelligent technology will make the cigarette processing and production process more efficient, and will directly bring value to cigarette enterprises.