bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on differentiated quality control strategy of UHV converter transformer based on economic sensitivity analysis
Authors: Chen Yingcui , Xie Wangyuan , Yu Xinru , Wu Chao 
Published: August 2021

Abstract
±800kV converter transformer is the most difficult and valuable equipment in UHVDC converter station. The total price of converter transformer in a single project is up to RMB 4.9 billion. The converter transformer connects the AC power grid and the converter valve hall, which is the hub of DC transmission. It realizes the electrical isolation, power exchange, voltage matching and on load regulation of AC / DC system through electromagnetic induction. The cost and quality performance of UHV converter transformer also determine the economy and reliability of power system operation. The purpose of this paper is to ± Taking 800 kV converter transformer as the research object, through a large number of investigation and field investigation, the establishment of the ± Procurement cost estimation model of 800 kV converter transformer. In this study, through exploring the cost characteristics and quality characteristics of the main materials and components of the transformer, the concepts of cost sensitivity and quality sensitivity are proposed, and the four quadrant matrix analysis method is used to analyse the cost and quality control of the transformer, and then the differentiated quality control strategy is formulated. It can guide the quality grading control of converter transformer in engineering, and realize the collaborative improvement of power equipment economy and reliability.
An Automatic Stripping Device for Hot-line Connection of 10 kV Cables
Authors: Han Wu 
Published: August 2021

Abstract
Electricity is an energy that is closely related to people’s daily life, and hot-line connection is often necessary in grid transformation and overhaul. Traditional stripping devices need to be operated manually with tools, which are not only time-and labor-consuming, but also have certain potential safety hazards. In this paper, a special stripping tool that is suitable for 10 kV high-voltage hot-line work is researched and designed based on summary of existing manual stripping devices. This new device is featured by a simple structure, safety, reliability, low operation risk, high efficiency, and a high automation level.
Study on coordination control methods of VPP
Authors: Song Xinxin , Wang Shitao , Shan Chunhong 
Published: August 2021

Abstract
China has become the world's largest energy producer, so we must speed up the construction of a clean, low-carbon, safe and efficient energy system. The large-scale access of renewable energy has an impact on the safe and stable operation of power grid, which makes it unable to directly join the power market operation. The coordination control objects of virtual power plant (VPP) mainly include various DERs, energy storage system, controllable loads as well as electric vehicles. The coordination control methods are mainly divided into centralized control, centralized decentralized control and completely decentralized control. In China, the demonstration project of VPP operation has been carried out in State Grid Jibei and Shanghai Electric power company.
Automatic Detection of Transmission Line Dangerous Points Based on Point Cloud Tower Section Classification Mode
Authors: Xing Long , Jian Zhao , Di Wang , Yuran Chen , Dandan Liu , Shaohua Wu 
Published: August 2021

Abstract
In the actual laser power inspection data processing process, the classification error of point cloud is inevitable. Some classification errors often need to be located with the help of dangerous points which is detected by mistake. Therefore, in the process of laser power inspection point cloud data processing, the detection of Dangerous points often needs multiple calculations. However, the dangerous point detection is often based on the whole line, and involves the data calculation of hundreds of tower section at the same time. The data magnitude is large and the calculation speed is slow, which seriously affects the efficiency of point cloud category correction. Aiming at the above problems, this paper divides the point cloud into tower segments, transforms the calculation unit of dangerous point detection from a whole line to a single tower segment, and records the modification of the point category in the tower segment. In the process of correcting the classification error and repeatedly calculating the dangerous points, only the tower segment with the modified category is recalculated. The practical application shows that this method can effectively speed up the data processing efficiency of laser power inspection.
Research on Visual Management system of Power Transmission Line based on two-dimensional GIS
Authors: Shaohua Wu , Jian Pan , Rong Yu , Jian Zhao , Yuran Chen , Di Wang , Wei Hu , Xin Long 
Published: August 2021

Abstract
In view of the imperfect construction of power transmission line visualization system, this paper studies the power transmission line visualization system based on open source GIS engine openlayers. At the same time, it makes full use of VUE, JavaScript front-end technology and express framework, Node.js, MariaDB, GeoServer and other server technologies to realize the two-dimensional GIS solution based on open source openlayers, which has a certain application value for two-dimensional GIS visualization management in the field of transmission lines. This scheme can meet the daily application needs of power grid transmission lines, and greatly facilitates the management of power grid transmission lines.
Hydraulic pump automatic test system based on C/S structure
Authors: Xu Linbing , Jin Xiajie , Xing Keli 
Published: August 2021

Abstract
In order to meet the automation production and testing needs of modern enterprises, this paper takes the hydraulic vane pump test bench as an example, and builds a set of hydraulic automatic measurement and control system based on C/S framework, which can meet the requirements of single/double pump test simultaneously. Among them, the client software is developed based on LabVIEW, the server is built based on FTP protocol and MYSQL database, and the test bench is successfully connected to the internal production management system of the enterprise through the local area network, realizing the integration of product model management, process control, automatic testing, result uploading and other functions. At the same time, the PID closed-loop control strategy was improved in the acceleration and loading stages to shorten the test time and reduce the system overshoot. Finally, the automatic run-in, efficiency verification and low-speed pressure-holding test of vane pump have been completed.
Optimal configuration of voltage sag monitors considering sensitive areas
Authors: Liu Haiyong , Dai Baihua , Zhu Hongfang 
Published: August 2021

Abstract
Voltage sags are unavoidable and cause serious harm to sensitive loads. Reasonable configuration of limited monitors can reduce monitoring costs and provide data support for sag management and reduction of sag hazards. Therefore, the optimal configuration of sag monitors is of great significance. Aiming at the traditional method that ignores the inconsistency of the degree of sag damage in different areas, an optimal configuration model of sag monitor considering the reliability of monitoring in sag sensitive areas and the location of phasor measurement unit (PMU) is proposed. The model takes sag observability as a constraint, takes the smallest number of monitors and covers the widest range of sag sensitive areas as the goal, and further configures PMU to assist in monitoring voltage sags. In addition, the Zeroin method is proposed to improve the accuracy of the exposed area calculation. The IEEE-30 system simulation shows that the proposed method can ensure the minimum number of monitor and high redundancy coverage of sensitive loads, ensuring its economic benefits. The proposed method overcomes the difficulty of balancing the monitoring cost with the monitoring capability of sensitive areas.
Study on safety management of guy wires in the construction of UHV (EHV) transmission lines
Authors: Jianjun Fang , Jiyong Hou , Chenghao Dai 
Published: August 2021

Abstract
The guy wires play an important and key role in the erection of the tower. Temporary guy wires are also used extensively in the stringing engineer. This study summarizes the causes of many serious accidents caused by temporary guy wires that do not meet the requirements of use and operation. It focuses on the high-risk links in the guy wire operation, from the calculation and verification before the use of the guy wire, the construction technical plan, the control of key links, and the construction process. The implementation of management and control is analyzed and summarized, and the key monitoring links of safety management and control of guy wires are summarized. The study provides reference for the construction of other similar HUV (EHV) high voltage transmission lines.
Evaluation of the Groundwater Safety and Analysis of the Spatial-Temporal Evolution in the Lower Plain of the Liaohe River, Northeast China based on the Improved DRASTIC Model
Authors: Bao Jianteng , Xi Xu , Zhang Yazhou , Ju Xueliang 
Published: August 2021

Abstract
The deterioration of the groundwater safety may lead to a series of ecological and social problems. In this study, we select relevant hydrogeological and anthropogenic parameters to construct the groundwater safety evaluation method for the lower plain of the Liaohe River based on the improved DRASTIC model. By spatially weighted overlay and Getis-Ord Gi* analysis of groundwater safety distribution maps, the main governance regions and main factors causing groundwater deterioration were identified. On this basis, the evolution trend of the groundwater key management area was quantitatively analyzed using the standard deviation ellipse (SDE) method. The results show that groundwater safety in the north and south of the lower plain of the Liaohe River are continuing to deteriorate. The correlation test between the groundwater safety index and the measured nitrogen concentration verified the scientific accuracy of the proposed groundwater safety evaluation method.
An Attention-based Recurrent Neural Network for Resource Usage Prediction in Cloud Data Center
Authors: Xi Huidan , Yan Cheng , Li Huixi , Xiao Yinhao 
Published: August 2021

Abstract
To manage the computing resources efficiency is crucial for the Cloud data centers (CDCs). By predicting the resource usages of certain virtual machine (VM), the workload could be balanced before the resource overusing occurs. In this paper, we propse an attention-based time series prediction model, which contains an encoder of input attention mechanism and a decoder of a temporal attention mechanism, to optimize the efficiency of could data center. Experiments on Alibaba CDC VM trace dataset demonstrates that our proposed methods can outperforms the classic LSTM method, especially when the resource usage data is lack of relationship.
A Multi-level Watermarking Algorithm for RasterGeographic Data Based on Watermark Information Segmentation Mechanism
Authors: Haojun Fu , Yunbo Kong , Xiao Li 
Published: August 2021

Abstract
This paper presents a multi-level digital watermarking algorithm suitable for raster geographic data. First, the new problems caused by the multi-level distribution of raster geographic data and its impact on watermark embedding/detection are analyzed; and then, a watermark information segmentation mechanism is designed, the multi-level watermark embedding strategy is established on this basis, thereby building the multi-level digital watermarking algorithm of raster geographic data based on the watermark segmentation mechanism with the traditional robust digital watermarking algorithm as the prototype; finally, the experimental comparison and analysis of the multi-level watermarking algorithm and the prototype algorithm are made. Results show that the proposed multi-level digital watermarking algorithm not only maintains the performance of the prototype algorithm, but also effectively solves new problems caused by the multi-level circulation of raster geographic data, such as multi-copyright protection and multi-user tracking, and has a high practical value.
Design of Building Heating System Based on Distributed Variable Frequency Pump
Authors: Yang Yuhua , Zhang Fan 
Published: August 2021

Abstract
With the continuous development and progress of society, people’s requirements for living conditions have gradually changed. They begin to pursue the comfort and personalization of the living environment, while also pay more and more attention to the problems of energy and environment. In order to build a suitable living environment, the implementation of central heating is bound to consume all kinds of resources. In the heating process, the efficient use and effective saving of energy has become an important measure for the heating industry to achieve the coordinated development of energy and environment. Taking the central heating as the research object and the secondary side distributed variable frequency pump heating transmission and distribution system as the goal, this paper studies the energy saving of the distributed variable frequency pump heating transmission and distribution system. This paper provides a design method of distributed variable frequency pump heating transmission and distribution system, in order to provide some basis for the design of distributed variable frequency pump heating transmission and distribution system in the future, and solve the problem of high energy consumption in the traditional central heating transmission and distribution system.
Prediction of PM2.5 concentration in Guangxi region, China based on MLR-ARIMA
Authors: Wei Pengzhi , Xie Shaofeng , Huang Liangke , Zhu Ge , Tang Youbing , Zhang Yabo 
Published: August 2021

Abstract
In recent years, the problem of atmospheric pollution has received more and more attention. Combining the concentration data of various air pollutants monitored by the air quality monitoring stations in Nanning, Guilin, and Baise in Guangxi province in 2017 and the precipitable water vapor (PWV) data obtained by sounding stations in the three cities, analyzed the changes of PM2.5 and PWV in major cities in Guangxi and build the multiple linear regression-differential autoregressive moving average (MLR-ARIMA) models respectively make short-term predictions for the changes in PM2.5 concentration in the three cities. Among them, the mean absolute error (MAE) of the prediction results of Nanning, Guilin and Baise are 7.57μg/m3, 12.75μg/m3 and 7.67μg/m3, compared with the multivariate linear regression model and the neural network model, the prediction accuracy of this model in Nanning is 43.55% and 46.50% higher than that of the multiple linear regression model and neural network model, respectively, and in Baise is 21.41% and 26.32% higher accordingly, The model prediction effect in Guilin is optimal for the neural network model, which improves 24.46% and 11.84% compared with MLR and MLR-ARIMA models, respectively, where MLR-ARIMA model still has 14.31% accuracy improvement compared with MLR model. This study has some reference value for PM2.5 prediction work in major cities in Guangxi, China.
Security Application of Encryption Technology in Network Communication
Authors: Jin Jin , Zhao Lipeng , Zhang Guoquan , Zhang Shenguo , Zhang Shengui 
Published: August 2021

Abstract
With the development and maturity of science and technology and the arrival of the Internet era, instant messaging software has become an indispensable communication method in people’s life due to its comprehensive functions, high performance and high stability. However, due to the open, interactive and global nature of the Internet, there are a series of security problems that cannot be ignored, such as information leakage and virus transmission. Information security is particularly important to us and directly affects whether our personal interests can be effectively protected. Therefore, strengthening information protection and avoiding information leakage are important issues that need to be solved urgently. This paper designs a system based on hybrid encryption by using symmetric encryption original AES and improved symmetric encryption AES to ensure the efficiency of people in the process of information transmission and communication.
The effect of climate factors on Antarctic Ice Sheet Changes from Radar Altimetry
Authors: Yang Quanming , Tang Yun 
Published: August 2021

AbstractThe Antarctic ice sheet change is one of the key factors affecting global climate change. The influence of climate factors obscures the understanding to elevation change of the ice sheet. Due to the lack of understanding of the quantitative relationship between climate events and elevation change of Antarctic ice sheet, we here combined climate factor data to quantify the impact of climate events on the elevation change of Antarctic ice sheet. A strong correlation between climate factors and elevation change of ice sheet was found. And the influence between them exists time delay in some extent. Meanwhile, the influence of climate factors in the Antarctic ice sheet change was separated from the ice sheet change based on the Independent Component Analysis (ICA) and multivariate linear regression model. The study also indicates that the influence of climate factors may be an important contribution for the accelerated decline of ice sheet elevation in the Amundsen Sea.
The research of artificial shoreline extraction based on airborne LIDAR data
Authors: Hua Li Wei , Bi Yao Lian , Hao Liu 
Published: August 2021

Abstract
Shoreline is closely related to the management and development of the ocean, people’s life, and national economic construction, Therefore, it is particularly important to accurately obtain the location of the shoreline. The existing Shoreline Extraction methods are based on image data, lidar data, or the integration of the two kinds of data. However, due to the characteristics of image data, the extracted shoreline is often fragmentary or there are areas where shoreline can not be extracted, and the type of shoreline is more, there is no unified, uniform algorithm. Therefore, this paper attempts to extract shoreline of man-made construction areas from airborne lidar data, and the algorithm is implemented with C + + and PCL. The experimental results show that the method can extract shorelines completely with high precision. Compared with the contour tracing method, the shoreline extracted by this method is smoother, and there is no local regional jump.
Remote sensing image dense target detection based on rotating frame
Authors: Wang Zhixin , Wan Shaojun , Ma Xiaoying 
Published: August 2021

Abstract
Detecting densely arranged and arbitrarily oriented targets on optical remote sensing images is a challenge, and there is much room for improvement in existing algorithms. In this paper, an end-to-end two-stage rotating target detection model based on rotating frames is proposed. This model adds FPN + PAN feature fusion structure after the backbone network to obtain enhanced features that fuse the feature information of each layer, and secondly, fine-grained rotation detection is accomplished by introducing Oriented Region Proposal Network and Oriented Region of Interest Pooling layer. By comparing the performance of this paper’s algorithm with the current mainstream rotation detection algorithm on DOTA remote sensing dataset, this paper’s algorithm can solve the difficult problem of detecting remote sensing targets with tight arrangement and arbitrary orientation to a certain extent.
Design and Improvement of Transmission Line Online Monitoring Communication Network
Authors: Peng Taiwei , Tian Feng , Lv Jiang , Sun Yanzhi , Cui Chen 
Published: August 2021

Abstract
Absrtact: transmission line is an important part of smart grid construction, which has many factors, such as wide distribution, long distance, complex working environment, difficult maintenance and easy to be damaged by natural external forces, etc. Among them, the construction of transmission line online monitoring network plays an important role in ensuring the stability and safe operation of online monitoring technology. In this paper, through the analysis of the transmission line and on-line monitoring transmission data demand and the existing problems of the current communication network, the communication network and data transmission system for transmission line monitoring is designed, which provides some reference for the construction of stable operation of the transmission line on-line monitoring network.
Analysis and Practice of Detection Methods for Goafs in Complex Coal Mines
Authors: Li Xueliang , Wang Jinpeng , Guo Xiaoli 
Published: August 2021

Abstract
The structure of the coal mine goaf is complex and its stability is easily affected by many factors. The use of reasonable detection methods to obtain basic data on the development characteristics of the overburden cavities, cracks and separations in the goaf is very important for the development and construction of the goaf. Meaning. The article summarizes and analyzes the currently commonly used goaf detection methods, and compares their applicability and advantages and disadvantages. Finally, the combination of engineering examples verifies the use of drilling core, drilling TV camera technology, and geophysical logging. The method provides a certain reference for the design and construction of the goaf detection project for the reliability of the goaf detection.
Research of Airfoil Optimization Based on CST Method and Genetic Algorithm
Authors: Zhang Jing , Chen Chang , Si Wenjie , Chai Xudong , Hong Yan , Yang Xueqi , Wang Yanning 
Published: August 2021

Abstract
Aiming at the aerodynamic optimization problem of guided ammunition airfoil, genetic algorithm is used to optimize the lift-drag ratio of the airfoil based CST geometric description method with given inflow velocity and fixed angle of attack. Firstly, the parameter space generated by CST parameterized airfoil description method is performed with binary code and the basic operations of genetic algorithm such as selection, crossover and mutation. Then, the external CFD solver is called to automatically divide the grid and calculate the lift-drag ratio through the control script. Finally, the target solution is obtained by searching. The calculation results show that this method can obtain a optimal target solution in relative less generation for a group of airfoils generated randomly in a certain search space.
Influence Analysis of Strong Wind on the Performance of Deep Space Large Aperture Antenna
Authors: Xiaofei Xu , Zongqing Wu , Wei Chen , Li Qiang 
Published: August 2021

Abstract
With the continuous increase of the deep space detection range, the establishment of the space-to-earth link and the stable transmission of the signal are the main problems facing. Increasing the antenna aperture of the ground-based measurement and control equipment can effectively improve the signal receiving sensitivity. However, the increase in antenna size brings about an increase in wind resistance. Strong wind will cause resistance to the driving of large-aperture antennas in deep space and cause certain deformations in the structure. This article takes a 35-meter-aperture antenna as an example, aiming at the antenna being orthogonal and parallel to the wind direction, the simulation analysis was performed under the influence of strong wind in the two cases, and the deformation cloud image of the antenna mouth surface was obtained. The antenna gain loss caused by the deformation error of the main surface and the translation of the secondary reflection surface was calculated, and the maximum gain loss reached 3.70dB.