bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wireless Charging and Endurance Platform of Patrol UAV Based on Inductive Power Collection of Transmission Line
Authors: Wang Xinyi 
Published: December 2021

Abstract
This project designs a wireless charging and endurance platform for patrol UAV based on inductive power collection. The main function is to solve the problems of short dead time and continuous inspection of ordinary patrol UAV. The system is mainly composed of transmission line inductive energy taking coil, inductive power supply, energy storage battery module, wireless charging module, energy management module and patrol UAV with wireless charging function.
Research on reliability evaluation of complex distribution network considering N-1 verification
Authors: Yan Yuehao , Bao Wei , Gao Shuai , Wang Quan 
Published: December 2021

Abstract
With the rapid development of power system, the distribution network structure is gradually mature and the connection situation is more complex. The traditional distribution network reliability calculation method can not accurately calculate the reliability index of complex distribution network. Based on the traditional simple power supply reliability evaluation method of radial distribution network, this paper completely considers the influence of circuit breaker, tie switch, branch line, standby transformer and other equipment, and puts forward an improved network equivalence method model. The model first treats the complex distribution system in layers, and then gradually equates it into a simple radial distribution network to calculate the reliability of the system. At the same time, this paper analyzes the distribution network with multi connection structure in a provincial capital city. The results show that this model simplifies the complexity of distribution system reliability calculation, improves the accuracy and speed of reliability calculation, and more truly reflects the reliability of actual distribution system.
Research and Implementation of SCD Precision Decoupling in Intelligent Substation for Single Equipment Replacement
Authors: Wang Liang , Jiang Yulei , Feng Teng 
Published: December 2021

Abstract
In the process of reconstruction and expansion of intelligent substation, it is difficult to accurately define the influence scope of SCD file upgrade. In the wake of each modification of SCD file, all configuration information contained in SCD needs to be re-verified, which greatly increases the workload of debugging, operation and maintenance of intelligent substation. Via decoupling SCD files, the problems of modification and re-verification of SCD files in the reconstruction and expansion stage can be tackled. In this paper, SCD precision decoupling method for smart substation with single equipment replacement is proposed, which makes SCD decoupling work more detailed, adaptable to various expansion and technical transformation of substation. The decoupling of SCD is refined from logical structure to physical link level, and the decoupling range of SCD is precisely determined, so as to minimize the modification and reverification range of SCD files and reduce the change risk caused by SCD modification.
Research on LCL-type three-phase photovoltaic grid-connected inverter based on passive damping
Authors: Gu Yifeng , Xu Xianglian , Yin Xiaobei , He Yu 
Published: December 2021

Abstract
The traditional LCL filter has resonance phenomenon in the working process of three-phase photovoltaic grid-connected inverter system. Based on the analysis of the frequency characteristics of LCL filter equivalent circuit before and after the introduction of passive damping resistor, it is concluded that the resonance of the system can be suppressed after the introduction of passive damping resistor. In the meantime, the current double closed-loop control strategy used in the system is introduced in detail. Finally, the simulation model is built by Matlab/Simulink simulation platform to verify the feasibility of the research method of LCL-type three-phase photovoltaic grid-connected inverter based on passive damping.
Identification of low-voltage connection relation in distribution platform based on similarity of voltage curve and grey correlation degree of entropy weight
Authors: Yan Yuehao , Bao Wei , Li Lijiao , Wang Zongjie 
Published: December 2021

Abstract
The correct low-voltage connection relationship in distribution area is of great significance to the safe operation and efficient management of power grid. As there are many reconstruction projects in the low-voltage platform area, the assets change frequently, and the interconnection perception ability of the low-voltage platform area is weak, which brings great difficulties to the identification of the user connection relationship. Traditional identification methods are heavy and inefficient. This paper proposes a method based on trend similarity and distance measure to identify low-voltage connection relation in distribution platform area. Firstly, Pearson correlation coefficient and discrete Fréchet distance are calculated to measure the trend similarity of voltage curve, and abnormal users are found out. GIS is used to search for adjacent stations, and finally, the correct station area of users is determined by analyzing the entropy weight grey correlation degree. The applicability and correctness of the proposed algorithm are verified by the application results of an example.
Risk Assessment of Power Monitoring System Based on Fuzzy Analytical Hierarchy Process
Authors: Li Huifeng , Li Tiecheng , Yao Qigui , Li Weixun , Yang Libo , Sun Guanghui 
Published: December 2021

Abstract
The security threat of power monitoring system is increasing, it is valuable to carry out effective risk assessment, which helps to find the security threats of the system in time, then carry out security management and avoid disasters. This paper presents a risk assessment method of power monitoring system based on Fuzzy Analytic Hierarchy Process (FAHP) and CVSS. Firstly, Considering the structure and security requirements of power monitoring system, the analytic hierarchy process (AHP) model is established, and CVSS is used to quantify the evaluation indicators. Then, the fuzzy consistent judgment matrix is constructed by using the results of index quantification by using AHP and fuzzy comprehensive evaluation theory, and the power monitoring system is comprehensively evaluated from the bottom to the top. Finally, the risk evaluation value and safety level of the system are obtained. The example shows that the method can effectively overcome the difficulty of AHP in checking the consistency of judgment matrix, and can effectively quantify the system risk, and provide reference and basis for risk management decision-making of power monitoring system.
Positive sequence pilot impedance protection of AC tie line based on MMC-HVDC system
Authors: Yang Zhiyong , Yang Bingyuan 
Published: December 2021

Abstract
MMC-HVDC has the characteristics of limited amplitude, controlled phase angle and unequal positive and negative sequence impedance. Therefore, the fault characteristics of flexible direct system and AC power grid tie line are quite different from traditional synchronous power supply, which may affect the performance of AC power grid sudden variable protection. Therefore, a new AC protection method based on positive sequence current sudden variable impedance is proposed. The results show that when an in zone fault occurs, the direction of current sudden changes at both ends is the same, and the positive sequence impedance may approach the line impedance; When an out of area fault occurs, the current abrupt variables at both ends have opposite directions and equal sizes, and the positive sequence impedance is much greater than the line impedance. Based on the above characteristics, the criteria of fault start up and fault type are constructed. The simulation results show that the protection method can realize fault discrimination quickly and reliably.
Reliability Study of Important Cross-Over Transmission Line System Based on Series System
Authors: Zhu Dengjie , Liao Yongli , Li Hao , Tang Jie , Huang Zenghao , He Jinqiang , Huang Zhidu 
Published: December 2021

Abstract
Transmission lines inevitably cross railroads, highways, and other facilities, and in order to ensure the safety and reliability of the cross-crossing section, the influence of various random factors on important cross-crossing transmission lines needs to be fully considered. In this paper, the transmission line crossing section is treated as a tandem system according to the force transmission route, and the reliability calculation method of the cross-crossing transmission line system based on the tandem system is proposed. The reliability calculation method of each component and the reliability calculation method of the tandem system are given. Finally, an example of the reliability calculation of a 220kV cross-crossing transmission line system is given, and the results show that the cross-crossing section has the highest reliability of tower FSJ404, with a reliability index of 8.61, the second highest reliability of insulators, with a reliability index of 7.22, and the lowest reliability of tower FSJ302, with a reliability index of 4.28. The failure probability of the cross-crossing section is 0.000009245, and the reliability index is 4.28.
Research on UHV Isolating Switch Technology with Multi-source Action Signal
Authors: Wang Xingxing , Zhang Yujie , Ni Hongjun , Lv Shuaishuai , Zhu Yu , Yang Guosheng , Cai Weidong 
Published: December 2021

AbstractWith the improvement of the voltage level of power transmission and transformation lines, the development of smart grids has highlighted a major demand, and relevant enterprises and scientific researchers in the UHV field at home and abroad have explored the research of water intelligent isolation switch equipment. This article explains the current problems of traditional substation isolation switches, and analyzes the advantages and disadvantages of UHV isolation switch technology and its application status through three aspects: isolation switch, isolation switch contact and isolation switch sensor. Studies have shown that the development and application of isolating switches with multi-source action signals, and further improving the proportion and accuracy of smart devices to replace manual labor are the development trends of UHV isolating switches.
Characteristic Analysis and Experiment of a Flow Distribution Valve
Authors: Cai Peng , Li Bin , Peng Yunfei , Guo Song , Yu Jian , Cai Biaohua , Qin Ziming , Deng Peng 
Published: December 2021

Abstract
The comprehensive characteristics of flow distribution valve in water system are analyzed. The flow balance valve can change the drag efficient according to the condition of system, and can measure the flowrate. The structure of the flow distribution valve is introduced, and the theoretical calculation formula for the regulating valve are derived. A rated flowrate from 10.65m3/h to 20.48m3/h are offered in the numerical work. Fluent CFX analyses show good behaviours: through the benefits of V-ball valve good linearity and regulation characteristics, when the valve throttling, the system flow can maintain a relatively stable state, it can be conducived to improve the measurement accuracy of the distribution valve. The experimental results show that the measure accuracy is less than 5.8%.
Design of double ring lock ring in extensible frequency clock generator chip
Authors: Xu Chao , Xie Yumeng , Zhou Yuan 
Published: December 2021

Abstract
With the continuous development of computer technology and the continuous improvement of interface data rate, the clock frequency has reached the demand of several gigahertz, which makes the electromagnetic interference problem very serious. Spread spectrum clock is an effective method to reduce electromagnetic interference of digital chips. Therefore, this paper designs a double-loop phase-locked loop that can spread spectrum and has strong anti-electromagnetic noise interference ability. The designed dual-loop phase-locked loop can be used in the clock generator chip. The overall structure of the circuit consists of a main loop and a secondary loop. The main loop is an adjustable phase-locked loop circuit that can provide an output with a center frequency of 500MHz. The secondary loop can realize the spread spectrum function by charging and discharging the filter capacitor of the main loop loop, and at the same time, the spreading depth can be set by the feedback based on the frequency division. The dual-loop phase-locked loop designed in this paper has a good effect in spread spectrum and anti-electromagnetic interference noise.
Multi-objective Optimization of Turning Tool Geometric Parameters Based on Kriging Model
Authors: Sun Jianxiang , Xie Huan , Zeng Wei , Tong Yaoyao , Cai Zhenyu 
Published: December 2021

Abstract
Cutting performance parameters of turning tool in different geometric parameters are obtained using finite element model, and the Kriging models of cutting stress and temperature are constructed, taking the cutting performance parameters as training samples. The multi-objective optimization model of turning tool geometric parameters is established based on the constructed cutting performance Kriging models, in which the design variables are rake angle, relief angle and cutting-edge radius, the objective parameters are cutting stress and temperature. The multi-island genetic algorithm is used to obtain the optimum turning tool geometric parameters: rake angle γo is 10.59°, relief angle λs is 6.15°and cutting-edge radius γE
is 0.73mm. The simulation results after optimization demonstrate that the corresponding cutting temperature reduces 263.1°C, cutting stress drops by 550.8MPa.
Analysis of the advanced oxygenate water level control scheme of the engineering supercritical unit
Authors: Liu En ren , Li Jun , Gao Song , Meng Xiang rong , Shi Shuo , Yu Qingbin , Li Yuan yuan , Yan Qing 
Published: December 2021

Abstract
The oxygenate water level is an important adjustment parameter in the operation of the fire generator set, and the water level may result in the safety of the water pump. The high water level will not only affect the oxygen effect, but it is also possible to cause the water shot to the steam turbine to cause a water shot or give the water tank full water, oxygenate vibration, drain and vapor with water. When the load is low (generally 35% rated load), the oxygenate water level is controlled by large and small valve, condensate pump variable frequency control condensed water drum pressure. When the unit load is high (greater than 35 rated load), the oxygenate water level is controlled by the condensed water pump, the large valve and small valve controls condensed water drum pressure.
A Two-domain Data Hiding Scheme for Data Signature in Integrated Online Services Applications
Authors: Yang Wei , Zhang Caijun , Zhang Jinqiu , Xian Kaiqiang , Wu Qianjun , Wang Xiaolong 
Published: December 2021

Abstract
There is confidential data in integrated online services applications. The data needs to be hidden before transmission on the Internet, and the data authenticity should be assured. Information hiding technology is an effective way of protecting the confidential data and may be used for assuring data authenticity. A Two-domain data hiding scheme (TDHS) is introduced in the paper to protect contract document authenticity in grid system. TDHS aims to embed confidential data into signature image in both spatial and frequency domain. LSB-like algorithm is used to generate a signature image Hs
by embedding feature data of contract document into the original signature image H in the spatial domain. Then DCT algorithm is adopted to embed the watermark in signature image Hs
in the frequency domain, and generate signature image Hs
ready
. The signature image Hs
ready
is inserted into the contract document. When received the document with signature, the recipient can verify its authenticity. The feasibility of TDHS is verified through experiments.
Research on Comprehensive Evaluation Method of Transformer Noise Based on AHP Matter Element Model
Authors: Li Yong , Yin Laibin , Heng Ping 
Published: December 2021

Abstract
Aiming at the problem of transformer condition evaluation, a comprehensive evaluation system for transformer noise is constructed according to the mechanism of transformer noise generation and propagation. Using matter-element theory and AHP, a state analysis method for transformer noise evaluation based on AHP matter-element model is proposed. The case analysis proves that the method is feasible for non-contact evaluation of transformer faults, and can accurately evaluate the state of the transformer, providing guidance for the operation and maintenance of the transformer.
Image processing of Casting defects based on Convolutional neural network
Authors: Wei Bowen , Gao Weixin 
Published: December 2021

Abstract
At present, there are numerous losses caused by corrosion cracking of metal castings in engineering in China. In order to detect the possible defects of metal castings in engineering, the laser ultrasonic vision inspection technology is used to image the castings, and then the identification efficiency is low. In order to process these images efficiently and quickly, convolutional neural network image processing technology is introduced. According to the actual needs, a convolutional neural network architecture is designed to recognize images, and whether the architecture meets the requirements is verified. Experimental results show that the performance of the architecture meets the design requirements. Under the same conditions, this structure provides a solution for casting defect detection combined with artificial intelligence.
An Efficient Extreme-Exposure Image Fusion Method
Authors: Zhang Jiebin , Zeng Shangyou , Wang Ying , Wang Jinjin , Chen Hongyang 
Published: December 2021

Abstract
Since the existing commercial imaging equipment cannot meet the requirements of high dynamic range, multi-exposure image fusion is an economical and fast method to implement HDR. However, the existing multi-exposure image fusion algorithms have the problems of long fusion time and large data storage. We propose an extreme exposure image fusion method based on deep learning. In this method, two extreme exposure image sequences are sent to the network, channel and spatial attention mechanisms are introduced to automatically learn and optimize the weights, and the optimal fusion weights are output. In addition, the model in this paper adopts real-value training and makes the output closer to the real value through a new custom loss function. Experimental results show that this method is superior to existing methods in both objective and subjective aspects.
Construction Method of Swimming Pool Intelligent Assisted Drowning Detection Model Based on Computer Feature Pyramid Networks
Authors: Li Keshi 
Published: December 2021

Abstract
Swimming pool intelligent assisted drowning detection is an important research content in the field of drowning rescue. A large number of scholars track drowning targets in real time through underwater intelligent monitoring system, and use it to build a reliable swimming pool intelligent assisted drowning detection model to reduce the risk of drowning. For the complex underwater environment of the swimming pool, the previous detection model has been difficult to adapt to the practical demand. In this regard, based on the summary of the previous swimming pool intelligent assisted drowning detection models and the computer feature pyramid networks, the feature stratification of the swimming pool intelligent assisted drowning detection image is completed, and then the final swimming pool intelligent assisted drowning detection results are obtained through the YOLO principle. After analysis, it is confirmed that the accuracy rate of swimming pool intelligent assisted drowning detection of this method is significantly improved, which can provide effective data theoretical guidance for swimming pool intelligent assisted drowning rescue and has significant practical advantages.
Fault diagnosis of gearbox based on ant colony algorithm optimized support vector machine
Authors: Sun Shilin , Lu Renxiang 
Published: December 2021

Abstract
The kernel function parameter g and penalty factor c in Support Vector Machine (SVM) will have an important impact on the fault classification and performance of the support vector machine. Based on this, a fault analysis and diagnosis model using ant colony algorithm to optimize support vector machine is proposed to improve the accuracy of gearbox fault diagnosis. First, the collected original vibration signal is decomposed by EEMD to obtain the modal function component IMF, and then the energy entropy of the IMF component is calculated as the feature vector of the original vibration signal. Finally, the feature vector is input to the support vector optimized by the ant colony algorithm identify and classify in the machine, and finally get the diagnosis result. Comparing ACO-SVM with SVM, the experimental results prove that the ACO-SVM model has a higher fault diagnosis rate, stronger optimization ability, and faster convergence speed.
Numerical Simulation of Internal Flow Field in Turbo-Expander
Authors: Li Chaojie , Mao Yanqin , Wang Xiaoyue , Zhan Zhixing , Cai Liang 
Published: December 2021

Abstract
As everyone pays more attention to energy consumption, it is very meaningful to use natural gas pressure energy for power generation and turbo-expander is an important part of power generation devices. In this paper, the turbo-expander model for pressure energy generation is meshed and numerically simulated based on fluent, and the pressure distribution and velocity distribution in the turbo-expander are obtained. The volute profile is Archimedes spiral, and the impeller is modeled by cfturbo. The main conclusions are as follows: when the number of grids is more than 2.2 million, the simulation results are less affected by the number of grids. The internal basin of the turbo-expander has obvious pressure gradient and velocity gradient. Due to the negative pressure at the elbow of the inlet pipe of the centrifugal effect, the existence of the blade leads to the change of the flow direction. Different watershed planes have different pressure and velocity distributions. The velocity and pressure of the watershed plane near the impeller outlet and the volute outlet are often smaller, but the flow vortex is more intense.
Intelligent face recognition system based on OpenMV
Authors: Yan Yinxin , Yang Houcheng , Yu Zhangsi , Zhang Ning 
Published: December 2021

Abstract
With the rapid development of e-commerce in Internet technology, online shopping has become the mainstream shopping method accepted and favored by people. E-commerce and online shopping not only bring convenience to people’s life, but also aggravate the surge of express delivery. In order to improve the pick-up efficiency, this paper designs an intelligent pick-up express system based on OpenMV face recognition. The system takes STM32 single chip microcomputer as the core controller, and reads and transmits express information based on OpenMV face recognition; The trolley tracks and avoids obstacles independently, and takes parts according to the planned path of the system. Experiments show that the system can realize express automatic pick-up, and has a broad application prospect.