bluuebunny/crossref_metadata_2025_split huggingface dataset:
Protective effect of Liankoushengji Powder on rats with Traumatized
Authors: Wang Gang , Sun Ning , Liu Fanfan , Tang Huizhen , Li Jingjing , Gao Cailing , Zhang Yifei , Li Heng , Li Yong , Liu Kexin , You Haixin , Qin Yuxiao , Xing Zhiyu , Yang Mengjie , Zhang Huan , Wang Xiao , Cao Zhaoxia , Li Xiaobing 
Published: March 2020

Abstract
Purpose: Study on the effect of modified liankou Shengji powder on treating skin injury rats. Materials and Methods: Divided sixteen male SD rats were randomly into four groups: model group, normal group, modified liankoushengji powder group and Yunnan Baiyao powder group. The other three groups except the normal group were modeled as follows to form a mechanical damage animal model: the left three sides of the back were surgically cut into square full-thickness skin defects, deep into the skin, with a length of about 1 cm on the side. After the mold-building was successful, modified liankoushengji powder and Yunnan Baiyao powder were mixed with the appropriate amount of Vaseline into a paste and then applied to the affected area of rats for drug intervention. All rats in the model group were coated with Vaseline twice a day for 4 days. To observe the body temperature and the growth wounds by glare projection of all rats. Then to calculate the wound healing rate. And to detect Vascular Endothelial Growth Factor (VEGF) by ELISA. Results: In modified liankoushengji powder group, the body temperature was no observable change comparing with the normal group (p> 0.05). But the changes of the increased new capillary formation and the enhanced wound healing rate were significant differences comparing with the normal group(p<0.01).The enhanced concentration of VEGF was statistically significant (p<0.05).With little change in body temperature, there was no remarkable difference between the modified liankoushengji powder group and the Yunnan Baiyao powder group(p> 0.05). The changes of the increased new capillary formation and the enhanced wound healing rate were significant differences in the modified liankoushengji powder group comparing with the Yunnan Baiyao powder group(p <0.05).The enhanced
Research on E-Commerce Product Quality Monitoring Sampling Method
Authors: Li Ya , Xu Yingcheng , Wu Qian , Lu Xiaowei 
Published: March 2020

Abstract
This paper researches the features of quality monitoring sampling of E-commerce products, analyzes the current status of development of E-commerce industry, and proposes an E-commerce product quality monitoring sampling survey method on the basis of the research on the existing E-commerce product quality monitoring literatures and standards from the perspective of mastering the overall quality situation of the category of products sold through E-commerce channels, and the contents include the determination of quality monitoring object and quality characteristics as well as the determination of the monitoring total and the construction of the sampling frame and sampling method, etc. This method is applicable to the estimation of product quality level of the monitoring total as discrete individual products or quantitative packaged bulk materials and provides theoretical and technical supports for the work of quality monitoring sampling of E-commerce products in our country.
A Panoramic Segmentation Network for Point Cloud
Authors: Jin Yuanyun , Xiangfeng Luo , Yang Wenbin , Xie Shaorong , Liu Tong 
Published: March 2020

Abstract
Scene segmentation mainly consists of semantic segmentation and instance segmentation. The latest research points out that combining the two segmentation methods to achieve panoramic segmentation can understand the current scene better. The point cloud contains rich spatial information, but panoramic segmentation research in this field is rarely discussed. How to use the unified model framework to obtain the results of instance segmentation and semantic segmentation is the key to realize the task of point cloud panoramic segmentation. In this paper, we propose a panoramic segmentation network for point cloud. In feature encoding stage, we introduce the potential correlation information among points to improve the performance of feature extraction. Then, an output module is presented to combine the results of the two decoders which uses objective distance to enhance the semantic and instance segmentation. Experiments show that our model has good performance on the panoramic segmentation task of point cloud.
TRIZ Innovative Method for Eliminating Fissures in 3D Panorama Image Stitching
Authors: Yong Jiu , Wang Yangping , Lei Xiaomei 
Published: March 2020

Abstract
roaming splices several photographs taken by the camera into a panoramic image, and then uses computer graphics and image technology to construct panoramic space for the panoramic image. Image stitching will directly affect the user’s roaming experience, but some panoramic images will have obvious color seams after stitching. TRIZ is a knowledge-based, human-oriented inventive problem solving systematic method. Based on TRIZ innovation method, this paper describes, analyses, resolves and evaluates the final problem plan. By using TRIZ innovation method, we can break through the thinking barrier, break the thinking stereotype, and analyze the problem with new vision, and carry out logical and non-logical systematic thinking. The problem of stitching cracks in the process of 3D panorama stitching is solved thoroughly and effectively. Finally, according to the law of technological evolution, the future development trend is predicted, and competitive and innovative products are developed.
Massive Power Information Processing Scheme Based on MongoDB
Authors: Xu Yao , Wang Jiayang 
Published: March 2020

Abstract
In order to solve the problem that the power consumption data presents a trend of sea quantification, and the huge power consumption data brings tremendous pressure to the system, especially slows down the speed of data query and gives users poor experience in using it, this paper proposes to use one of the non-relational databases (NoSQL) to store power consumption data instead of the traditional relational databases. To solve the problem that the collected electricity data can not meet the demand of page display, Hadoop MapReduce is proposed to preprocess the electricity data. Distributed architecture is adopted for storage and processing. MongoDB cluster and Hadoop cluster are overlapped and deployed. Combined with MongoDB’s powerful storage capacity and Hadoop MapReduce’s analytical and computational capability, a set of high-availability and high-performance data storage and pre-processing scheme for power-consuming universities is constructed.
A Joint Verification System for the Secondary Equipment Safety Measures in Smart Substation
Authors: Du Zhen’an , Li Hengxuan , Xia Yongjun , Wang Zuowei , Hong Meizi , Gao Linyao , Hu Wen , Zhang Kanjun , Chen Ke 
Published: March 2020

Abstract
The secondary system of smart substation has high characteristics of network and integration. The secondary circuit and its safety measures are characterized by strong concealment and poor visualization. There is a great safety risk in the implementation of secondary equipment safety measures. In this paper, a joint verification system of secondary equipment safety measures for smart substation is proposed. The joint verification system uses the monitoring system and the third-party safety measure monitoring equipment to jointly arrange defence, carry out the whole process verification of the implementation process of the secondary equipment safety measure ticket, and carry out visual display, effectively ensuring the correctness of the implementation of the secondary equipment safety measure.
RETRACTED: Research on the Application of Artificial Intelligence in Energy Science and Engineering Monitoring Software Engineering Technology under the Background of Big Data
Authors: Liu Hongying 
Published: March 2020

Abstract
Artificial intelligence belongs to the world’s leading technology and technology, which can make people’s work and life become more intelligent and faster. The arrival of the era of big data accelerates the development of artificial intelligence technology, and the artificial intelligence big data platform begins to appear. Through the analysis of the relationship between big data and artificial intelligence, the AI big data platform and its application are comprehensively discussed, aiming to promote the development of artificial intelligence big data platform and improve the overall level of domestic artificial intelligence. The smart grid is artificial. One of the important application areas of intelligence, the advancement and breakthrough of the new generation of artificial intelligence technology, which is mainly represented by advanced machine learning theory, big data and cloud computing, will promote the development of smart grid. Therefore, an energy science and engineering data monitoring software is needed to realize the monitoring and analysis and unified scheduling of energy science. The article details the design and implementation of data monitoring software for power and energy intelligence.
Numerical Simulation on Critical Heat Flux of Rectangular Channel in Rolling Motion
Authors: Liu Le , Chen Wenzhen , Wang Cong , Hu Chen 
Published: March 2020

Abstract
Theoretical analysis on the fluid flow in a vertical Rectangular channel under rolling motion is performed to establish the mathematical model which is based on Eulerian two-fluid framework and non-equilibrium subcooled boiling model. The numerical model is established to simulate the subcooled boiling. The trends of boiling curves under non-rolling motion condition, temperature of inner wall of rectangular channel and boiling curves under sinusoidal periodic rolling motion condition are essentially investigated. The results show that, it is suggested to treat the inflection point of boiling curves as the criterion of DNB which is marked by burnout point “qmax” under non-rolling motion condition. In a period of rolling motion, the max temperature of inner wall in vertical rectangular channel changes periodically under rolling motion condition, when the model deviates from the maximum equilibrium position, the maximum wall temperature appears. The burnout point “qmax” of boiling curves appeared earlier under rolling motion condition, after that the temperature rise faster than non-rolling motion condition.
Research on Operation Status and Switching Strategy of AC/DC Control Device
Authors: Zheng Qin , Ma Xiang , Chen Long , Huang Yan 
Published: March 2020

Abstract
The AC/DC hybrid distribution network is large in scale and high in voltage level, and contains more sources and loads, and the degree of control is more complicated. Therefore, the disconnection of the line in the AC/DC hybrid distribution network, the AC/DC fault of the system, and the change of the operating state of the flexible DC device may cause the operating mode of the system to change. In this paper, the corresponding system operation mode is proposed for the typical hand-hand AC/DC hybrid distribution network. The operating mode of the flexible DC device, the switching conditions of the flexible DC device, and the switching strategy are studied. The influence of the hot standby operation on the distribution network is analyzed, and the seamless switching of the flexible DC device is realized.
Impact of Shading Area on PV System
Authors: Dai Yuyu 
Published: March 2020

Abstract
This paper mainly studies the effect of shading area on the voltage, current and power of PV system. This study mainly conducted experiments and then collected data. Through the processing of the data, the trends of voltage, current and power of PV under different shading areas are analyzed. The main equipments for the experiment were a solar panel, a photovoltaic power generation circuit experiment box, and some cardboard and wires used for shielding. Let the photovoltaic panels run at the optimal operating point. Under the condition that the illumination conditions are basically unchanged, the voltage, current and power data of photovoltaic power generation under different shading areas are recorded by occluding different areas of the solar panel. The research results show that as the shading area continues to increase, the voltage and current of the PV system are continuously weakened. The power measured indirectly approaches zero as the voltage and current decrease. Therefore, shading area is one of the major factors affecting PV systems. The results of this study provide a theoretical basis for the installation environment of solar panels and the periodic cleaning of obstructions.
Design and Implementation of Enterprise-Level Network Disk in Power System
Authors: Qian Lin , Yu Jun , Zhu Guangxin , Xie Ruocheng , Chen Zhengbo , Mei Zhu , Wang Lin , Pang Hengmao , Xu Mingjie , Chen Haiyang 
Published: March 2020

Abstract
This system is an Enterprise-Level information sharing platform based on browser/server mode (B/S), page frame stand tools in hypertext preprocessor language package. It consists of the user management module, file management module, friend’s management module, information management module and administrator module. The system can provide in LAN users to more quickly and more convenient to share pictures, file upload and download, and make them in the Internet which is not restricted by time and space. Through the implementation of the system, the information exchange between users is promoted, the user’s free access is realized, the operation becomes simpler, the efficiency of information interaction between the employees of the enterprise is improved, and the work efficiency is improved.
Big Data Analysis of Demand for Power Supply Service in Urbanization Development of Tourism Industry in Shaanxi Province
Authors: Chang Yawen , Kou Meng 
Published: March 2020

Abstract
Shaanxi is a long-established tourism-oriented province. The warming of the tourism market has made it a national economic growth point in Shaanxi Province. With the gradual extension of the tourism market to cities and towns, how to improve the quality of power supply in the urban tourism industry has become a problem for power companies to consider. Now power supply companies are beginning to target the urban market to seize opportunities to develop tourism, fully grasp the use of big data, carry out resource sharing, and rely on scale effects to improve power supply services. To this end, how to seize the opportunities of tourism development, build an electric service system in the context of big data, and strive to improve market management capabilities and service capabilities are issues that power supply companies need to think about.
Design Pulse Source for TDR System with Large Deformation Distributed Measurement
Authors: DaWei Guo , Tong RenYuan , Li Qing 
Published: March 2020

Abstract
Distributed measurement of rock-soil deformation is one of the important technologies for geological disaster monitoring. TDR combined with helical sensing cable enables large deformation distributed measurement. A TDR system for distributed measurement of large deformation combines narrow pulse generator circuit, helical sensing cable, reflected wave processing and sampling circuit. The current work mainly includes the design of narrow pulse generation circuit based on avalanche transistor and step recovery diode. The suitable parameters of the components are given, and the nanosecond pulse with larger amplitude, faster falling edge and rising edge is obtained.
Research and Design of Three-Phase Inconsistent Protection Circuit for Circuit Breaker Based on Chip Technology
Authors: Wang Xiaoming , Zhou Ke , Li Wenwei 
Published: March 2020

Abstract
The typical configuration of inconsistent protection of circuit breaker is that the auxiliary switch of circuit breaker is connected in series and parallel with start-up time relay, and the outlet relay is tripped by delay start-up. In order to improve the reliability of circuit breaker, this paper presents a new design idea of inconsistent protection of circuit breaker based on chip technology, and presents a phased digitized site designed with circuit breaker mechanism as a whole. The overall architecture scheme mainly consists of module and general control module. The phase-separated digitized local module realizes on-site acquisition of circuit breaker position and optical fiber transmission. The main control module realizes ontology inconsistent logic operation, exit and communication with spacer layer. The design scheme uses chip processing instead of traditional relay and optical fiber transmission instead of traditional cable, effectively avoiding relay and circuit differences. The misoperation often caused can greatly improve the reliability of inconsistent protection of circuit breaker.
Research on Active Emergency Repair Technology of Distribution Network Based on Large Power Data
Authors: Mao Yiping , Mao Jingfei , Situ Jiabo , Dong Bo , Lv Longjin 
Published: March 2020

Abstract
Distribution network emergency repair is the most important work in power supply service and production management. Active emergency repair is an important way to improve the efficiency of emergency repair command. In this paper, we investigate the outage data of private and public transformer in the electric power information collection system. By using data mining technology, we build the relationship between outage data and actual line faults. A real fault identification model based on the detailed outage data of private and public transformer is established, which can quickly and accurately identify real faults and facilitate maintenance personnel to take timely measures, and achieve active emergency repair.
Research on Coordinated Control Technology Among Inverters in Distributed Voltage Regulation Control Mode of Photovoltaic Power Station
Authors: Chen Tianhua , Hua Guanghui , He Weiguo , Ding Mingzhu , Du Lei 
Published: March 2020

Abstract
Photovoltaic and other renewable energy power generation systems are connected to the grid through power electronic converters. Normally, they do not participate in grid voltage regulation when they are running in the mode of tracking the maximum power point. However, when their grid-connected capacity exceeds a certain scale, photovoltaic needs to participate in grid voltage regulation.
Research on Prediction Method of First Hit Ratio of Artillery Based on Data Driven
Authors: Zhou Na , Li Yonghao , Liu Xinan , Guo Qianya 
Published: March 2020

Abstract
This paper introduces the traditional firing rate (FRHP) assessment method of artillery and its insufficiency, and proposes a data-driven prediction method for the first hit rate of artillery. This method utilizes the control information, sensor information and other data recorded in the previous vehicle training test, and performs a small number of live ammunition shooting test result data to conduct the association of the first hit ratio of the artillery, and based on the association rules mining knowledge to predict the first hit rate of the artillery. This method is applied in the prediction test of the first hit rate of a certain type of weaponry. The test results show that the average deviation of the predicted test results is 3.08%, which meets the index requirement of the forecasting deviation of the first hit ratio of the artillery <5%, and the method is effective.
Research on Sensorless Control of Permanent Magnet Synchronous Motor
Authors: Wu Bo , Li Hao , Liu Weiguang , Jiang Yuanjian , Wei Yiying 
Published: March 2020

Abstract
For the information of the rotor position of the permanent magnet synchronous motor position sensorless control system, the calculation method of different rotor positions of the motor under high speed and low speed is proposed. In the low speed state, the rotor information cannot be extracted because the back electromotive force on the stator is too small. The rotor position information can be obtained by the high-frequency voltage injection method. When the motor is in the medium-high speed operation state, the sliding mode observer method is introduced, and the rotor position information of the motor can be estimated. Finally, the rotor speed estimated by the sliding mode observer is obtained by simulation. The accuracy of the rotor position.
Small and Medium-sized Ship Exhaust Heat Recovery Device Based on Vortex Tube Effect Verification
Authors: Zang Tianshuo , Liu Yi , Xu Bingzhou , Qian Yizhen , Li Xinhuan 
Published: March 2020

Abstract
With the continuous development of China’s economy, the number of Chinese ships has increased year by year. The problem of low utilization rate of waste heat energy of diesel exhaust in existing small and medium-sized ships has become increasingly prominent, and the distillation method in marine desalination has high energy consumption and large equipment volume. Reverse osmosis is a serious pollution. Based on this, we designed a small and medium-sized ship exhaust heat and lightening device based on vortex tube effect. Compared with the traditional lightening technology, the design advantages of this work are reflected in the following three aspects: 1) designing the vortex tube cold and heat separation effect, achieving the step utilization of the exhaust air, reducing the power consumption; 2) the device is small in size and can save The internal space of the ship; 3) The desalination process is simple, there is no influent pretreatment process, and the environmental pollution of the chemical agent is reduced; 4) The device can provide a negative pressure environment for the exhaust port of the diesel engine, reduce the exhaust back pressure of the diesel engine, and improve the working efficiency of the diesel engine.
Research on the Structure of Smart Power Plant Based on In-depth Learning
Authors: Lu Ruonan 
Published: March 2020

Abstract
The construction of intelligent power plant is not only a positive response to the corresponding policies of the country, but also more in line with the development trend of the modern information age, which is conducive to fully exploiting the potential of various resources of power enterprises and improving the actual operating efficiency and economic benefits of enterprises. Based on the analysis of the present situation of China’s power generation enterprises and the exploration road of smart power generation, this paper explains the background and definition of the generation of intelligent power plants, discusses the structure system and functions of each level of smart power plants, and analyzes the structure of smart power plants. The smart power plant built on the basis of big data application is also introduced finally.
Research on Optimization of independent microgrid based on flexible interconnection technology
Authors: Wang Qun , Yu Hai , Huo Yingzhe , Wang Ke , Peng Yong , Xu Shuangxi , Zhang Weiwei , Chen Shaolin , Xiang Linhuai , Zheng Wanxiang , Lei Yongchang 
Published: March 2020

Abstract
In order to solve the problem of interconnected operation control between different independent microgrids, a flexible interconnection method based on bidirectional AC / DC converter is used to connect the independent microgrids. Each microgrid and the AC side of the connected converter form a separate control area. The branch power flow model is adopted in the internal network of the area to optimize the photovoltaic unit, energy storage system, diesel generator unit and other equipment. The active power of the boundary of the adjacent area is coordinated and controlled by the distributed optimization algorithm based on the alternating direction multiplier method. Under normal working conditions, the coordination and complementarity of the devices in the micro grid can be realized through the flexible interconnection device, which can improve the system operation economy; under the condition of equipment failure, based on the flexible control and power support ability of the flexible interconnection device, the power outage range of the fault micro grid can be reduced. Finally, a simulation case is used to verify the effectiveness of the above methods under different operating conditions.