bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on online monitoring and early warning technology of tripping and closing circuit of intelligent substation
Authors: Zhang Yunlin , Ma Yan , Li Zhifei , Wu Hang , Zhuoyan Jiang 
Published: June 2022

Abstract
In view of the lack of effective on-line monitoring means for the tripping and closing circuit and the problem that the tripping and closing circuit mistakenly opens and closes the primary equipment due to excessive leakage current, an on-line monitoring and early warning scheme for the tripping and closing circuit is proposed, and an online monitoring and early warning system for current data and switch state data of the tripping and closing circuit is designed. Hall current sensors are installed at many places of the tripping and closing circuit to collect the leakage current in real time. Relying on the sampling unit and management unit of intelligent wave recorder, the online monitoring and early warning system digitally collect, analyse and process the information of tripping and closing circuit, realize the fault early warning and positioning of tripping and closing circuit, and improve the ability of circuit anomaly monitoring and early warning. Through the field application in substation, the feasibility of the system is verified.
Power Dispatching Voice Backtracking System Based on Knowledge Base
Authors: Guo Meng , Xu Sheng , Chen Jinlong , Du Jiang , Chen Long , Bai Hongyu 
Published: June 2022

Abstract
With the rapid development of the scale and structure of the power grid, the power dispatching center has built a complete dispatching exchange communication network, which can meet the daily dispatching communication needs, but various problems are also emerging in the dispatching process. Aiming at the problem of high integration of physical power grid and information system, this paper proposes a voice backtracking system for power dispatching based on knowledge base, which includes knowledge base establishment, knowledge storage, knowledge question answering sorting and knowledge base front-end question answering. Firstly, the basic model of power dispatching knowledge processing is trained, and then the knowledge is extracted from the domain corpus, and finally, the knowledge question answering is realized by using the ranking model. Through the experimental comparison, it is proved that the accuracy of the method in this paper is higher than that of the method in the postprocessing by adding the MRC model in the pre-processing of knowledge extraction, and it is better than other methods in the comparative test. It provides technical support for power system voice dispatching management and provides a reference for other areas of voice management.
Analysis of the optimal parameters for serpentine laying of high-voltage cables considering the influence of various factors
Authors: Xuan Shengxiexian , Teng Zupeng , Jiang Ying , Xiong Junlin , Ma Xuchu , Wu Qi , Ma Xikui 
Published: June 2022

Abstract
High-voltage power cables can be subjected to thermomechanical forces during operation due to the rising cable temperature or drastic ambient temperature changes, which threaten the operational safety of the cables. In this paper, first of all, the thermal expansion, serpentine arc displacement and serpentine arc axial force of the cable in the limit operation state are analyzed theoretically. The serpentine arc displacement and serpentine arc axial force under different serpentine laying parameters are compared and the optimal laying method is derived. Then the theoretical optimal solution is simulated using finite element analysis method to prove the correctness of the theoretical results. Finally, the recommended laying parameters of the serpentine laying method are given.
Research on bearing surface defect detection system based on machine vision
Authors: Wang Jinmian , Qiao Jiping , Guo Meicen 
Published: June 2022

Abstract
Aiming at the shortcomings of manual detection methods for surface defects of bearing outer rings, a surface defect detection method based on machine vision is proposed. The common defects on the bearing surface are scratches, cracks, and peeling. The defect images are analyzed by the LabVIEW image processing module. Make fast and accurate inspections. In this paper, a CMOS industrial camera is used to obtain the bearing image, and the gray histogram of the image is analyzed to determine whether it is a defective bearing. In order to solve the problem of uneven illumination in image segmentation, it is proposed to first use morphological processing for background. Then, the difference map containing defect information is obtained, and then the Otsu method is used for image segmentation; an edge detection method is designed based on morphology, which can achieve complete edge extraction and good denoising effect. Experiments show that the method has strong practicability and self-adaptability, and can accurately detect bearing surface defects.
An intelligent monitoring system based on computer vision
Authors: Cui Dejing , Ren Weilong , He Wenjin 
Published: June 2022

Abstract
Aiming at the customs supervision area of the comprehensive bonded area, this paper proposes an intelligent monitoring system based on computer vision through the research of computer vision, photoelectric sensors, digital image processing, data transmission network, automatic control and intelligent video analysis. We have realized the comprehensive supervision of people, vehicles, and things in the park, uploading all collected information to the centralized storage server, realizing uninterrupted data tracking, analysis, alarming, centralized management, unified scheduling, and command of front-end equipment. We have comprehensively improved the level of supervision of the comprehensive bonded area, provided the most intuitive information for emergency response, and performed the best response to emergencies according to the emergency plan to build a more intelligent comprehensive bonded area.
A Hybrid Control Strategy for Half-bridge Three-level LLC Resonant Converter
Authors: Chen Yuqiang , Wang Fusheng 
Published: June 2022

Abstract
The half-bridge three-level LLC resonant converter uses the resonant process of the inductance and the capacitance to transfer energy. It has the advantages of low voltage stress on the switch and high efficiency, but there are problems such as narrow voltage gain range. To widen the voltage gain range of the converter, a hybrid control strategy for a half-bridge three-level LLC resonant converter is proposed in this paper. The voltage gain of the converter is divided into three gain intervals: low, medium and high. Burst control is used in the low gain interval, phase shift control is adopted in the middle gain interval, and frequency modulation control is adopted in the high gain interval. The experiment results show that the proposed control strategy can realize a wide range of output voltage gain of the converter.
UWB-based Real-Time 3D High Precision Localization System
Authors: Liu M H , Zhang Sheng , Pan Yi 
Published: June 2022

Abstract
Ultra-Wideband (UWB) positioning technique featuring high accuracy and low cost has been drawing increasing interest. Angel of arrival (AOA), time difference of arrival (TDOA) and time of arrival (TOA) are common methods for positioning. With DecaWave1000 ranging systems, which applies TOA method, sub-meter accuracy can be achieved easily. However, the traditional DW1000 UWB localization system is unscalable and the ranging stability remains improving. In this paper, a brand new Scalable Multi-Base Multi-Tag (SMBMT) scheme based on traditional DW1000 UWB localization system is proposed to improve the system’s efficiency and scalability. Then an effective data processing algorithm Data Kalman Filter is offered using ranging information only, to diminish the ranging error in the system. By changing the system equation, Data KF is also able to optimize the dynamic trajectory. Finally, the proposed system is tested and the algorithm is analysed. The result shows that not only does applying SMBMT scheme improves the scalability and ranging efficiency of UWB localization system but also increases the accuracy and stability in positioning.
Algorithm Design of Mirror Tracking System
Authors: ZHAO Yameng , JIANG Jian 
Published: June 2022

Abstract
In the current national defense background, the requirements for the performance of weapons are increasing day by day, the speed of the flying target and the flight state provide important parameters for the improvement of the characteristics of weapons, ballistics and ammunition. In the shooting range test, the high-speed flying target is tracked and photographed to obtain important indicators such as the flight status of the flying target in high-speed flight. This paper studies a ballistic tracking camera system based on a rotating mirror. It is composed of a system, which can track the flight trajectory of the flying target in the air in real time, and obtain important information of the flying target in flight through high-speed camera shooting. Design the mirror tracking system to capture the flight status of the flying target, analyze the flight trajectory parameters of the target through MATLAB, and optimize the accuracy and response speed of the motor control algorithm. The motor turns the mirror to reflect the flying target to the high-speed camera. The feasibility of the system is ver ifi ed. Th e tot al sc ann ing range of the system for tracking flying targets is 90°, and the scanning accuracy is ±0.5°.
Application Research of Face Recognition Algorithm based on MATLAB
Authors: Gong F , Zhang YM , Jiang X Z 
Published: June 2022

Abstract
Face recognition is a biometric recognition technology based on human facial features. Its application is generally to collect relevant face images through the camera, extract the video stream containing the face, or monitor the face in real time. This paper will take matlab simulation software as the research platform to study the effect of different face recognition algorithms in practical application. The main research method is to establish the corresponding face recognition application simulation interface on MATLAB, carry out simulation verification through different face recognition algorithms, compare and analyze the simulation results, and summarize the advantages and disadvantages of face recognition in the process of practical application,it provides a certain reference for the follow-up application of face recognition in real life.
The Research and implementation of high-speed Master-slave CAN-FD composite system based on Cortex-M7
Authors: Chen Zerui , Zhang Guoguang , Na Jiesi 
Published: June 2022

Abstract
All CAN bus is widely used in communication and control between electronic control units of automobiles. At present, the rapid development of intelligent network system has put forward higher requirements on the speed, capacity, reliability and stability of real-time data exchange.In this paper, the microcontroller based on Cortex-M7 architecture and the third-generation high-speed CAN transceiver are selected to build the interface module. According to the high-level CAN communication protocol, the control command is sent and the fault diagnosis and status monitoring is carried out in real time. At the same time, the industrial data from the signal processing module is received and stored. The test results show that the interface system is configured with several groups of filters of different interception modes based on the dual-channel CAN-FD communication, realizing higher transmission rate, longer data frames and multiple frame sending and receiving and is downward compatible with BxCAN. It has the characteristics of strong comprehensive performance, high reliability, portability and versatility. It also provides theoretical verification and data support for the optimization design and application of CAN bus in domestic industrial products.
Research on Common Mode Voltage Suppression Algorithm Based on Three Levels
Authors: Liu Heng , Wang Fusheng , Xie Yuanchao 
Published: June 2022

Abstract
The high frequency common mode voltage generated by the traditional two-level inverter and multilevel inverter modulation scheme is higher. In order to solve the problem of common-mode voltage in three-level inverter, a method to suppress the common-mode voltage in three-level inverter is proposed in this paper. Research comparing sinusoidal pulse width modulation (SPWM) and zero common mode voltage modulation methods. Through the application of the new modulation method to the three-level inverter, the effectiveness of the method is proved by simulation.
Direction of arrival and target scale estimation based on split beamforming algorithm
Authors: Leng Kaijing , Deng Leilei 
Published: June 2022

Abstract
Based on the theory of split beamforming algorithm and the experimental data collected by circular array, this paper analyzes the characteristics of DOA and target size estimation. In this paper, the signal receiving model of planar circular array and the split beamforming algorithm are studied. Then, based on the data collected from the lake experiment, the DOA estimation results of conventional beamforming algorithm, multiple signal classification algorithm and split beamforming algorithm are analyzed, and the target scale estimation results of split beamforming algorithm is analyzed. The experimental data analysis shows that the split beamforming algorithm has good direction finding stability, and the target scale estimation error based on the split beamforming algorithm is small.
Analysis of the differences in the messages broadcast by different GEOs of WAAS
Authors: Liu Ruihua , Tian Yanting 
Published: June 2022

Abstract
The Wide Area Augmentation System(WAAS) is the most mature satellite-based augmentation system currently available to provide higher performance navigation and positioning services for civil aviation users. WAAS broadcasts a wide range of differential correction data and integrity information to users via Geostationary Orbit(GEO) satellites to achieve enhanced navigation performance of GNSS. This paper selects the enhanced messages broadcast by different GEO satellites from February 1st to February 7th, 2022, decodes and compares the data of the messages MT2-5 and MT25, and analyzes the differences of the messages broadcast by different GEOs.
Research on on-line monitoring system of CVT metering anomaly
Authors: Liu Yongping , Wang Shouzhi , Xia Xin , He Chuanliang , Li Jinlong 
Published: June 2022

Abstract
The stability of capacitive voltage transformer (CVT) is low due to the influence of multiple factors in the operation process. The measurement error occurs from time to time, and there is a great measurement risk. However, the existing inspection methods for CVT periodic power failure are inefficient and cannot meet the requirements of intelligent substation for automatic monitoring of key equipment status. In view of the above problems, an online monitoring system for CVT measurement abnormality is designed to realize the real-time evaluation of the operation error of CVT measurement abnormality without power failure, guide the verification, operation and maintenance of CVT directional power failure according to the error evaluation results, timely find out the out of tolerance transformer, realize power recovery, and provide an effective scheme to replace the traditional periodic power failure detection method. The system has passed the test of the third-party inspection and testing organization, and the system has good functionality, compatibility, reliability and portability.
Numerical simulation and optimization of heat dissipation structure for high power insulated gate bipolar transistor (IGBT)
Authors: Hu Waikit , Cui Wei 
Published: June 2022

Abstract
With the increasing integration level of IGBT components, heat dissipation capacity determines whether its working state is stable. The third-generation semiconductor chips are expected to be made of SiC or GaN materials, with lower power loss and higher thermostability. Currently, the widely used backplane heat dissipation schemes cannot meet the heat dissipation requirements of high-power IGBT modules. In this study, an aluminium alloy shell with an AlN column is proposed to replace the traditional plastic shell to further improve the heat dissipation of IGBT devices. 180°C is set as the expected maximum temperature of the module, and finite element modelling and analysis of the heat dissipation structure of the IGBT device is carried out. Four types of design schemes are compared and the heat dissipation structure is optimized. AlN heat-transfer blocks and Ag sintering are introduced to realise the novel design. The results show that traditional single-side heat dissipation can not meet the requirements. The improved double-side dissipation scheme meets the requirement when the heat sink fin height is more than 15mm. And the optimized heat sink shall have 14 fins of 20mm in height. The results of this study can provide a reference for the thermal management and design of high-power third-generation semiconductor devices.
Technology Strategy for Meticulous Governance of Smart Cities: Memory Bus Width Aware Pruning for Efficient Image Super-Resolution Implementation in FPGA
Authors: Zhang Chuo 
Published: June 2022

Abstract
The mega-city governance is based on the aggregation, collation, development and application of multi-scene data, and efficient access to scene data is a key link to promote the meticulous governance of smart cities. Super-resolution technique is the process of upscaling and improving the details within an image. In this paper, we implement a 16-layer residual neural network (ResNet) for the efficient image super-resolution in FPGA. We discover that the memory access is the major performance bottleneck of this implementation. To reduce the memory access overhead, we design a pruning algorithm with the consideration of the memory bus width. Since the memory used in our design generates 256 bits for each access, the proposed pruning algorithm drops the kernel by aligning this bit width. That is, all kernels in one layer are ranked by its L1-norm and we drop the kernels out of the 256 bits. The experimental results show that the proposed method reduces the number of weights by 50% compared with the baseline. As a result, the inference speed can be enhanced by 3 times.
Key Technologies of Media Big Data in-Depth Analysis System Based on 5G Platform
Authors: Lin Qiang , Zhang Xilin 
Published: June 2022

Abstract
To meet the needs of large-scale users for personalized streaming media services with high speed, low delay, and high quality in a 5G mobile network environment, this paper studies the resource allocation mechanism of streaming media based on a 5G network from the perspective of user demand prediction, which can alleviate the pressure of mobile network, improve the utilization rate of streaming media resources and the quality of user service experience. The augmented reality visualization of large-scale social media data must rely on the computing power of distributed clusters. This paper constructs a distributed parallel processing framework in a high-performance cluster environment, which adopts a loosely coupled organizational structure. Each module can be combined, called, and expanded arbitrarily under the condition of following a unified interface. In this paper, the algebraic method of parallel computing algorithm is innovatively proposed to describe parallel processing tasks and organize and call large-scale data-parallel processing operators, which effectively supports the business requirements of large-scale parallel processing of large-scale spatial social media data and solves the bottleneck of large-scale spatial social media data-parallel processing.
Research on Monitoring Data Security Sharing Method for Hydropower Station Operation and Maintenance
Authors: Ma Yuanjiang , Hong Liang , Qin Taisong , Hao Xia , Tan Taiquan 
Published: June 2022

Abstract
The computer monitoring system centrally and uniformly manages the hydropower stations in the basin, which has high operation efficiency. The current data security sharing methods can not solve the multi-party trust problems such as data ownership and data security. In this regard, a monitoring data security sharing method for hydropower station operation and maintenance is proposed. The monitoring data of hydropower station comes from multiple independent operation systems developed by different suppliers according to different application requirements. The multi-source data are integrated and processed to meet the interactive needs of users. User permission has the characteristics of dynamic change, which can identify the permission attributes. Create a trusted container based on the user ID, locate the monitoring data, and trace the source in data sharing and storage. The access policy is formulated by the data user and bound with the private key, while the data is given an attribute set during encryption. Each data user has a corresponding access policy and a private key corresponding to the access policy, so as to realize the security sharing of monitoring data. The test results show that the design method in this paper can effectively reduce the communication overhead and storage overhead, and has good computing performance.
SOLOv2-based multi-view contactless bovine body size measurement
Authors: Ai Biao , Li Qi 
Published: June 2022

Abstract
To address the problems that traditional bovine body measurement methods require a lot of manual assistance and lead to stress reactions in cattle, this paper achieves contactless measurement of bovine body length, withers height, chest breath, belly breath and chest depth by using a deep learning approach. This paper use SOLOv2 instance segmentation to identify cattle and extract cattle contours from the top and side views, combines cattle image dataset and OpenCV image processing function to extract cattle feature parts, and use discrete curvature calculation method to extract cattle body size to calculate feature points, and calculate cattle body size parameters by Euclidean distance calculation method. Experiments were conducted using custom model cattle to which bovine body size measurements were taken, after comparing with the manual measurement results, the average relative errors of body length, body height, chest depth, chest breath and belly breath of the model cattle were 1.36%, 0.44%, 2.05%, 2.80% and 1.47%, respectively. The experiment proved that this measurement method performed well in the non-contact measurement of bovine body size and had good accuracy, which provided a new way and method for the measurement of the non-stress response of cattle.
Python-based film review data acquisition and visualization design
Authors: Yang Yong , Xin Liu Ying , Zhang Yu Xi , Zhang Na 
Published: June 2022

Abstract
With the rapid development of the Internet and artificial intelligence era, how to obtain effective information is particularly important in the complex network world. In order to obtain a real movie viewing experience and provide some reference for other users, this article is based on the Python language, taking the popular movie “Shuimen bridge of Changjin Lake” as an example on Douban website, and using web crawler technology to comment and rate users, etc. Relevant data is crawled, the crawled data is the object of analysis, and data visualization processing is carried out to more intuitively show the true feelings of moviegoers. The results show that the film meets the expectations of the public and is worthy of recommendation.