bluuebunny/crossref_metadata_2025 huggingface dataset:
A multi-focusing contrast source Bayesian compressive method for solving inverse scattering problems
Authors: Gottardi Giorgio , Abdul Hannan Mohammad , Polo Alessandro
Published: March 2020

This work presents a novel inverse scattering (IS) methodology to deal wit.li the retrieval of the electromagnetic (EM) properties of unknown scat.t.erers. The proposed technique is based on the effective combination of a customized Bayesian compressive sensing (BCS) solver wit.li the iterative multi-scaling approach (IMSA). Accordingly, a-priori information on the class of imaged targets as well as progressively acquired information on their location and size is exploited to yield accurate and robust reconstructions. Moreover, a contrast source inversion (CSI) formulation is adopted in order to enable the retrieval of lion-Born scat.t.erers. Numerical results are shown to verify the effectiveness of the proposed IMSA-BCS-CSI method, as well as to compare it with state-of-the-art alternatives.
Halving warming with stratospheric aerosol geoengineering moderates policy-relevant climate hazards
Authors: Irvine Peter J , Keith David W
Published: March 2020

Stratospheric aerosol geoengineering is a proposal to artificially thicken the layer of reflective aerosols in the stratosphere and it is hoped that this may offer a means of reducing average climate changes. However, previous work has shown that it could not perfectly offset the effects of climate change and there is a concern that it may worsen climate impacts in some regions. One approach to evaluating this concern is to test whether the absolute magnitude of climate change at each location is significantly increased (exacerbated) or decreased (moderated) relative to the period just preceding deployment. In prior work it was found that halving warming with an idealized solar constant reduction would substantially reduce climate change overall, exacerbating change in a small fraction of places. Here, we test if this result holds for a more realistic representation of stratospheric aerosol geoengineering using the data from the geoengineering large ensemble (GLENS). Using a linearized scaling of GLENS we find that halving warming with stratospheric aerosols moderates important climate hazards in almost all regions. Only 1.3% of land area sees exacerbation of change in water availability, and regions that are exacerbated see wetting not drying contradicting the common assumption that solar geoengineering leads to drying in general. These results suggest that halving warming with stratospheric aerosol geoengineering could potentially reduce key climate hazards substantially while avoiding some problems associated with fully offsetting warming.
Photoluminescence of Silica Made by Sol-gel Method
Authors: Wang Junling , Wang Xiuting , Guo Yu , Wang Yang , Zhu Zeya
Published: March 2020

Photoluminescence of one kind of silica was made by a kind of sol-gel method was investigated. The heat treatment temperature of the obtained gel was 5090°C for 2 days and 90°C for 2 hours. Photoluminescence spectra and excitation spectra was investigated and analysed by a Gauss decomposition method. The emission spectra of silica composed of peaks 2.34eV, 2.65 eV and 3.10 eV. The excitation spectrum consisted of 3.1 eV and 5.18 eV. Meanwhile emission of 2.65 eV and 2.34 eV had common excitation peak of 5.18 eV.
Perceptual Engineering and Related Research Based on the Design of Door and Window Hardware Handles
Authors: Guo Xu , Li Minghui
Published: March 2020

The main purpose of this research is to introduce the sensibility engineering to explore the relationship between the modeling style of the door and window hardware handle and the sensibility vocabulary, and through the results of this research, the design of the door and window hardware handle is more scientific. The analysis establishes a basis for its styling design and consumer perception criteria and manufacturer design. The purpose of this study is to solve the post-evaluation problem of product design. The method proposes a design evaluation method based on Analytic Hierarchy Process (AHP). Firstly, the product is decomposed into several indicators to be evaluated and scored, and the data is calculated and the weight values of each index are calculated. The overall score of the program is further ordered. The result is the accuracy of the sorting result verified by the market sales survey data of 3 door and window hardware handles, which provides a reference for the effective evaluation of product design. The conclusion is that the introduction of AHP into design evaluation can effectively reduce the disadvantages of many factors in the design evaluation, such as the factors to be evaluated, the reliance on the evaluator’s experience and knowledge, and the difficulty of judging the relationship between each factor and the final solution. Influences.
Bayer Marker Detection based on Yolov3
Authors: Li Xingxing
Published: March 2020

With the development of artificial intelligence technology, target detection is widely used in many commercial fields, such as automatic driving, security monitoring and robotics, especially the deep learning algorithm has brought about a significant improvement in target detection performance. Bay number identification has a wide range of applications in industrial scene understanding. It can be used for character positioning and is applied to driverless. The accurate detection of shell number is the basis for subsequent character recognition. Character recognition is after character detection. In this paper, yolov3 target detection algorithm is used to realize the shell number text detection. Compared with yolov2 algorithm, yolov3 uses multi-scale prediction, and adopts feature maps of different scales to extract image features to adapt to different sizes of objects, and to use better. The basic classification network (ResNet-like) and classifiers use multiple logistic classifiers instead of the sorttmax classifier to solve the problem of multi-label classification.
Research and Application of a Reverse Design Method for Noncircular Gear
Authors: Huang Zhidong , Gu Quan
Published: March 2020

The traditional design method of noncircular gear is broken through. A reverse design method of noncircular gear is presented. Take the design of noncircular gear teaching aid with variable transmission ratio for example, the mathematical model is established. Based on determined reducer box, the parameter criterion of noncircular gear oriented to unchanged center distance is deduced. And elliptical gear mechanism suitable for the reducer box is obtained. The design example of noncircular gear teaching aid with variable transmission ratio shows the validity of reverse design method of noncircular gear, which facilitates the standardization design for reducer for noncircular gear.
Synthesis and Crystal Structure of N, N’-Bisphenylacetic Hydrazide
Authors: Wang Lihua , Xu Ke , Wang Ning
Published: March 2020

A bishydrazone compound, C16H16N2O2, has been synthesized by the reaction of phenylacetic hydrazide and phenylacetyl chloride in CH3CH2OH solution. The crystal structure of C16H16N2O2 has been characterized by single crystal X-ray diffraction analysis. The result shows that the N, N’ -Bisphenylacetic hydrazide belongs to triclinic, space group P-1 with a = 5.5280(11) Å, b = 8.0010(16) Å, c = 15.279(3) Å, a = 94.39(3)°, β = 92.20(3)°, γ = 91.52(3)°, V = 673.0(2)Å3, Z = 2, Dc = 1.324 mg·m−3, μ = 0.089 mm−1, F(000) = 284, and final R1 = 0.0447, ωR2
= 0.1041. The N, N’- Bisphenylacetic hydrazide molecules form 1D chained structure by the intermolecular hydrogen bonding interactions along the bc plane.
Synthesis and Crystal Structure of (S)-2-(3-Oxo-1,3- Dihydroisobenzofuran-1-yl)phthalazin-1(2H)-One
Authors: Tai Xishi , Xue Weixi
Published: March 2020

A heterocycle compound, C16H10N2O3, has been synthesized by the reaction of hydrazine hydrate, 2-carboxybenzaldehyde and magnesium chloride hexahydrate in CH3CH2OH-water (v: v= 1: 1) solution. The crystal structure of (S)-2-(3-oxo-1, 3- dihydroisobenzofuran-1-yl) phthalazin-1(2H)-one has been determined by X-ray single crystal diffraction analysis. The result shows that the (S)-2-(3-oxo-1, 3- dihydroisobenzofuran-1-yl) phthalazin-1(2H)-one belongs to triclinic, space group P-1 with a = 7.2049(8) Å, b = 8.0215(9) Å, c = 10.9938(14) Å, a = 81.120(10)°, β = 85.939(10)°, γ =88.934(9)°, V = 626.17(13) Å3, Z = 2, Dc = 1.476 mg·m−3, μ = 0.104 mm−1, F(000)=288, and final R
1 =0.0935, ωR
2 = 0.1018. The title compound molecules form 3D network structure by the interaction of aza-heterocycle and oxa-heterocycle of (S)-2-(3-oxo-1, 3-dihydroisobenzofuran-1-yl) phthalazin-1(2H)-one molecules.
Cu precipitation behaviour in long-term thermally aged, high-copper model reactor pressure vessel steels
Authors: Liu Xiangbing , Li Yuanfei , Xu Chaoliang , Xue Fei , Qian Wangjie , Huang Ping
Published: March 2020

Nanoscale Cu-rich precipitates that were formed in Cu-containing reactor pressure vessel (RPV) steels during service have a deleterious effect on mechanical properties, which can result in RPV embrittlement and limit reactor operation life. To understand the nanoscale precipitation mechanism, thermal aging at 370°C for up to 13200 h of high-copper RPV model steels was performed to produce nanosized Cu-rich precipitates. Then the Cu-rich precipitates were systematically investigated by atom probe tomography (APT). The changes in the mechanical properties of the steels were characterized by Vickers hardness test. The results show that the Cu-rich precipitates as determined by APT construction analysis have a spatial core-shell structure. The core is enriched with Cu atoms, and the region near the precipitate/matrix interface is enriched with Mn, Ni, Mo, and Si and C atoms. Cu-rich precipitates lead to precipitation strengthening and hardening/embrittlement effects. Using the Russell-Brown model, we estimated the hardening due to Cu-rich precipitates in the matrix and observed that the measured hardness and the estimated changes in hardness were in good agreement.
Microstructure Analysis of Attapulgite Clay Minerals
Authors: Cheng Jie , Ge Lei , Wei Jing , Meng Tingting
Published: March 2020

Land is the foundation of human being. However, with the rapid development of human society, soil is no longer clean, and soil remediation is imminent. Passivation of heavy metals in soils by passivates is a relatively economical, rapid and reasonable treatment measure. In this paper, the microstructure of attapulgite clay minerals and acid-modified attapulgite clay minerals are qualitatively and quantitatively analyzed by scanning electron microscopy. The results show that the attapulgite clay minerals have rough micro-surface, more synapses on the surface after modification, higher porosity, higher pore fractal dimension, larger probability entropy, and larger passivation potential of heavy metals.
Application of 3D Printing Technology in the Field of Ceramic Material Manufacturing
Authors: Xu An
Published: March 2020

3D printing has been widely used in medical model manufacturing, tissue organ regeneration, clinical repair treatment and drug development testing, especially in the field of dental ceramic material manufacturing. Based on microfluidic extrusion 3D printing technology, micro ceramic components with complex shapes can be customized by a selective slurry extrusion system. In this paper, zirconia ceramic slurry is used as the molding object, and the physicochemical properties of zirconia ceramic slurry are improved by tourmaline. The zirconia all-ceramic crown is rapidly manufactured by micro-flow extrusion 3D printing technology, and the process is further tested and analyzed. The influence of the mechanical properties of zirconia ceramics.
Fabricating Micro-texture on Surface of Cutting Tool Based on NC WEDM Technology
Authors: Yang Fengshuang , Pan Chen , Shi Yingyu
Published: March 2020

It is a very complex and difficult technology to fabricate micro-texture on tool surface. At present, available technology such as laser marking, femtosecond laser, ion beam and WEDM can be used to fabricate micro texture. However, little research has been done on the fabrication of micro-texture by WEDM. In this experiment, micro-texture was fabricated on surface of cemented carbide tool by NC WEDM technology. The effect of WEDM parameters (pulse width, pulse stop and current) on the width of micro-texture was studied, so as to control the size of micro-texture fabricated by WEDM. At the same time, the least square method was used to establish the prediction model between the width of micro-texture and the WEDM parameters. The experimental results showed that the micro-texture size fabricated by WEDM technology was in the micron scale, which met the requirements of micro-texture tool size in the field of cutting. Pulse width, pulse stop and current affected the width of micro-texture, but pulse width was the main factor affecting the width of micro-texture. The prediction model of micro-texture width was successfully established by least square method.
Volumetric error analysis and modelling of CNC internal and external cylindrical grinding machine tool
Authors: Tao Juanjuan , Tao Haohao
Published: March 2020

In order to improve grinding accuracy, it is necessary to analyze and study geometric and thermal errors of NC machine tools. Based on the method of coordinate transformation of multi-body system theory, the error matrix of cutting points is established in workpiece and tool kinematic chains. The coupling relationship between thermal error and geometric error is analyzed, and the comprehensive mathematical model of geometric error and thermal error of CNC internal and external grinder is deduced. The precise machining constraint equation of grinder is established, which lays a theoretical foundation for subsequent error compensation.
A Ship-borne Trajectory Real-time Processing System Based on Service Bus
Authors: Hu Shangcheng , Li Yonggang , Hou Yawei
Published: March 2020

Currently, ship-borne trajectory real-time processing system adopt centrality soft-model, it existed obvious shortcoming, such as strong coupling, weak adaptable and difficult to upgrade. Based on analyzing the real-time processing flow and requirement of the ship-borne trajectory real-time processing, together with the advantage of service bus have been used in other scene, this article designed a soft-model based on service bus. It has the advantage with less coupling and more adaptable. The research results have been directly applied to the maritime tracking and control software, effectively enhance the real-time processing system of task adaptability and maintainability of efficiency and improve the ability to carry out the task.
Determination of Arctiin in Lingqiao Jiedu Tablet by Capillary Electrophoresis
Authors: Han Likun , Zhang Nana , Liu Haixing , Wang Lintong
Published: March 2020

This paper investigated the determination of arctiin content in Lingqiao Jiedu Tablet by high performance capillary electrophoresis (HPCE) method. The borax solution of 37.5 mmol concentration containing 12.5% methanol was chosen as buffer solution. The experiment was performed at a constant voltage of 16 kV and UV detection wavelength of 277 nm. The content of arctiin in Lingqiao Jiedu Tablet was 5.002mg/g (RSD=2.85%) (n=7). The recovery was in the range of 85%-120.7% (n=5). This method is suitable for the detection of the content of arctiin in Lingqiao Jiedu Tablet.
Determination of Arctiin in Lingyang Ganmao tablets by Capillary Electrophoresis
Authors: Liu Haixing , Wang Lintong
Published: March 2020

This paper investigated the determination of arctiin content in Lingyang Ganmao tablets by high performance capillary electrophoresis (HPCE) method. The borax solution of 37.5 mmol concentration containing 12.5% methanol was chosen as buffer solution. The experiment was performed at a constant voltage of 16 kV and UV detection wavelength of 277 nm. The content of arctiin in Lingyang Ganmao tablets was 12.81mg/g (RSD=3.5%) (n=6). The recovery was in the range of 81.3%-113.4% (n=5). This method is suitable for the detection of the content of arctiin in Lingyang Ganmao tablets.
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

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

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

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

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

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.
Research of wireless power transmitter sub-system based on Qi Specification
Authors: Sun Wei , Yang Hong
Published: March 2020

This paper summarizes the technique comparison among wireless power transfer methods and related specifications, combined with a designed case of wireless power transmitter sub-system based on Qi specification.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Summary of research on stability of independent microgrid based on high permeability distributed generation
Authors: Wang Qun , Li Feng , Sun Baohua , Huo Yingzhe
Published: March 2020

The independent microgrid with high-permeability distributed generation is greatly constrained by the natural environment and economy, and lacks the support of large grid in operation. At the same time, the large-scale use of power electronic equipment such as converter will cause its stability problem to have new characteristics compared with the traditional grid, and therefore become the key of research. This paper summarizes the characteristics of microgrid stability, points out the problems existing in applying the traditional definition of power system stability to microgrid, and gives the definition and classification of the stability of the independent microgrid with high permeability DGS; reviews the analysis methods of microgrid stability from three aspects of signal stability, transient stability and voltage stability respectively; discusses the guarantee of microgrid stability The control method of signal stability and the technical measures to improve the transient stability of the microgrid are discussed. Finally, the key problems of the stability of the independent microgrid with high permeability distributed generation that need further study are summarized and prospected.
Application of Prony Algorithm Based on EEMD for Identifying PSS Parameters
Authors: Hao Qiu
Published: March 2020

Some problems may caused by controller poor optimal control performance because of PSS parameters are hard for debugging, this paper proposes EEMD (Ensemble Empirical Mode Decomposition) and Prony algorithm combined online identification method for power system low-frequency oscillation. Firstly the EEMD is used to deal with the unstable signal and select the IMF (Intrinsic Mode Function). Secondly the model parameters of low-frequency oscillation in power systems are obtained by analyzing the IMF with Prony algorithm. Finally the PSS parameters have calculated through the residue method base on oscillation system dominant mode. Simulative results of case study show that it is better to identify the dominant mode of the signal. The proposed method has a certain reference value for engineering application.
Research on the Influence of Distributed Wind Power Access Location on Power Supply Reliability of Distribution Network
Authors: Ouyang Jianna , Li Shan , Zhou Yangjun
Published: March 2020

In order to study the influence of distributed wind power access location on power supply reliability of distribution network, this paper adopts the method of simulation and comparative analysis. Distributed wind power with the same capacity is connected to 10kV distribution lines at different location on ETAP (Electric Transient Analyzer Program) simulation platform. The reliability indices of distributed wind power at different access location are analyzed. Results show that the accessing of distributed wind power can improve the reliability of 10kV distribution network effectively, and when the distributed wind power is connected to the end of the feeder, the improvement of the reliability of the system is more significant.
Location Optimization of Distributed Generation Based on Improved Particle Swarm Optimization Considering Permeability
Authors: Xing Yahong , Wang Zheng , Zhao Haibo , Shen Zeyuan , Wang Yao , Zhang Zhi , Hu Ende
Published: March 2020

Currently, existing location methods are difficult to adapt to increasingly distributed generation (DG), owing to the rapid growth of distributed accessing scale and the uncertainty of time and space in new energy generation. In this paper, a novel combined Greedy algorithm (GA)/particle swarm optimization (PSO) is proposed for optimal location of DG on distribution systems. The impact of different access locations of distributed power sources on network loss and voltage distribution of distribution network is analyzed. Considering the minimum network loss and voltage stability, the permeability range of different access modes to distributed power generation is proposed. Finally, the feasibility of this method is verified by IEEE-33 node distribution network.
Broadband and Tunable Active Microwave Absorbing Element
Authors: Xing Yahong , Wang Zheng , Zhao Haibo , Xue Lei , Li Qi , Xue Chao , Zhang Jia
Published: March 2020

In this paper, a new type of electrically tuned microwave absorbing material working in microwave band is proposed. The metamaterial unit consists of is composed three layers of metal and two dielectric substrates spaced apart like a sandwich structure. The varactor diodes and lumped element are embedded as active circuit components in slots of the top metal patch. By adjusting the bias voltage of the varactor diodes, the absorption band can be adjusted, that is to say, the absorption frequency can be reconfigured. The active absorbing material has great application potential and lays a foundation for the next generation of intelligent absorbing materials.
Attention residual convolution neural network based on U-net (AttentionResU-Net) for retina vessel segmentation
Authors: Zhao Shun , Liu Tao , Liu Bowen , Ruan Kun
Published: March 2020

Extraction of retinal vessels from fundus images is one of the basic steps for diagnosis of diabetic retinopathy. Although some scholars have proposed several segmentation methods, this segmentation is still challenging due to differences in retinal vascular network and image quality. At present, the main challenges of retinal vascular segmentation are noise (due to uneven light) and capillaries. Due to the high complexity of retinal vascular characteristic information, the existing algorithms exists some problems such as microvascular segmentation and optic disc segmentation, We propose a network segmentation model based on fusion residual block, Attention mechanism and U-net, Firstly, the image was enhanced by limiting contrast histogram equalization. Secondly, Gamma correction is used to improve image brightness information and reduce artifact interference. Finally, AttentionResU-et segmentation model is used for segmentation. This algorithm was tested on DRIVE dataset, and its AUC reached 97.93%.
Analysis of the Efficiency of China’s Cold Chain Logistics Enterprises from the Perspective of Green Supply Chain
Authors: Sun Xu , Gao Lan , Lan Yongqiu
Published: March 2020

China’s economy is developing rapidly, and the development of cold chain logistics is on the right track. With the expansion of market demand, people have put forward higher requirements for the safety and quality of cold chain logistics, which provide opportunities for the development of cold chain logistics enterprises. In recent years, due to the deterioration of the world environment and the continuous consumption of resources, green sustainable development has become an inevitable trend of society and the development of the times. The drawbacks of the traditional cold chain logistics continue to be highlighted. If the cold chain logistics enterprises with high energy consumption and serious pollution want to obtain the opportunity of survival, they must integrate the concept of green development into the company’s operation and management. Based on this, the paper builds a performance evaluation system for cold chain logistics enterprises based on green supply chain, and uses fuzzy analytic model to evaluate enterprise efficiency. After research, it is found that the scale but the low efficiency is an important reason that affects the development of China’s cold chain logistics enterprises. In order to achieve green and efficient operation, enterprises must accelerate capital management, and at the same time optimize talents and technology to gain market share in the wave of green sustainable development.