bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Reducing Water Content of Polycrystalline Enterprise Filter Cake
Authors: Pei Lei , Duan Chao , Wan Ye , Qin Qin , Lu Jun , Qi Dong
Published: December 2019

The filter cake in polycrystalline enterprise has high water content and therefore a large volume, which is difficult to regenerate, the common treatment method is to stack and landfill in the waste dumps. With the environmental pressure has became serious these years, it has a great significance to reduce the volume of filter cake. This research studied the filtration performance of different filtration methods for the polycrystalline enterprise waste water, namely traditional Chamber Filter Press, Chamber Filter Press & passing compressed air, Diaphragm Filter Press. The results showed that the water content of filter cake pressed by traditional Chamber Filter Press is 80.6%, the passing compressed air method decreases the water content slightly. However, the water filter pressed method reduced the water content and the volume of the filter cake remarkably. It is more in accord with the national development production strategy of environmentally friendly, safety and efficiently.
Comparison and Analysis of Domestic and Foreign Standards for Safety Assessment for In-Service Pressure Vessels Containing Defects-A Case Study of Drum of Utility Boiler
Authors: Wang Min , Tang Ping , Ling Zhangwei
Published: December 2019

Pressure vessel, a kind of special equipment with high potential explosion danger, will cause catastrophic accident once it explodes or leaks. Ensuring the safe operation of such equipment is of great significance. However, some defects inevitably occur in the process of manufacture, installation and service. Blindly shutdown or repairs will bring huge economic losses. Thus, the safety assessment for in-service pressure vessels containing defects has attracted more and more attention in the industry. The paper analysis the safety assessment for one drum of utility boiler, based on standards of API-579/ASME-2016 Fitness for Service and GB/T19624-2004 Safety Assessment for in-service pressure vessels containing defects. And based on the safety assessment for drum of utility boiler, the difference and advantages of domestic and foreign standards in the aspects of defect characterization, determination of equivalent stress and assessment methods are analyzed and compared. Meanwhile some suggestions for revising the related standards of pressure vessels with defects in China are put forward.
Experimental Study on Flow Characteristics of Hydraulic Multi-Way Valve Based on CAN Communication
Authors: Deng Junhua , Jin Xiajie
Published: December 2019

This paper develops a CAN communication multi-way valve measurement and control system. This paper elaborates on the introduction of hydraulic circuit, the construction of measurement and control system. In the LabVIEW platform, the author designs the application program through the CAN communication card, writes the signal generator to control the multi-way valve, and then draws the flow characteristic curves of the multi-way valve.
Application Research of Eddy Current Testing in Fault Detection of a Ship’s SAB Unit
Authors: Liu Xin , Yang Jiandong , Chen Chao , Chen Wei
Published: December 2019

A ship uses four Sabroe 163 units and two Sabroe 128 units as the chiller for the general and special air conditioning systems. After ten years of operation and use, it entered the overhaul. It is planned to determine the damage condition of the heat exchanger tubes of the evaporator and the condenser by eddy current method to determine the next maintenance plan. Due to the ship’s docking overhaul, the eddy current flaw detection has been equipped with conditions for draining the equipment, cleaning the heat exchange tubes, purging the inner wall of the heat transfer tubes, and drying. This eddy current testing was performed by a maintenance engineer using a dedicated device that was calibrated.
The Research of Gait Recognition Based on Deep Learning: A Case Study of the Missing Elderly
Authors: Liu Mingyang
Published: December 2019

In our daily life, we often see some notices for the missing elderly. As we all know, the elderly people with Alzheimer’s disease or memory impairment are more likely and more often to get lost. Therefore, I hope that I can make some contribution to help solve this problem. For this reason, the author a detection and tracking system with interactive interface was designed by the author based on gait recognition for the elder people who are under the risk of getting lost. The walking characteristics of the elderly can be extracted from the gait image data of the elderly provided by their families. Combined with the video streaming information documented by the cameras of the public security organ, the detection and tracking system can identify the missing elderly at a long distance, in this way, it provides clues for searching the missing elderly. In this paper, all experiments were under the Windows 7 operating system. Python was used to invocate yolov3 model for character detection. The foreground images were obtained by applying background subtraction in the static background, and then gray processing, Gauss blurring, binarization and other image operations were done to extract the image features and obtain the GEI gait energy map with the help of gait feature extraction technology. The image data were stored in the database, and then pedestrian identity detection was carried out through an input video or by real-time cameras. In order to test conveniently, an interactive interface based on PyQt4 is designed, which can realize functions such as register pedestrian names on site, acquire pedestrian gait energy map and establish database, refresh background, detect and recognize pedestrians. Moreover, it supports arbitrary switching between real-time camera detection and input video detection.
A Novel Crop Weed Recognition Method Based on Transfer Learning from VGG16 Implemented by Keras
Authors: Jiang Zichao
Published: December 2019

This study used a method based on convolutional neural network model, VGG16, to identify images of weeds in the field. As the basic network, VGG16 has very good classification performance, and the network structure is unconventional. It is relatively easy to modify. It can fine-tune other data sets on this basis. Therefore, the transfer learning method is applied to our own Kaggle competition website. Download the weed data set. The site covers approximately 3, 500 images in 12 categories. Due to limited data and computational power, our model fixes the first 14 layers of VGG16 parameters for layer-by-layer automatic extraction of features, adding an average pooling layer, convolution layer, Dropout layer, fully connected layer, and softmax for classifiers. The layer has a total of 5 layers, for a total of 19 layers. The experimental results show that the final model performs well in the classification effect of 12 weed images. The accuracy rate on the training set is 98.99%, and the accuracy on the verification set is 91.08%. It can be applied to crop weed identification. It provides accurate and reliable judgment basis for positioning and quantitative chemical pesticide spraying, and is the key to achieving refined agriculture.
Research on Energy Management Strategy of Diesel Hybrid Electric Vehicle Based on Decision Tree CART Algorithm
Authors: Ye Fang , Zhai Xicheng
Published: December 2019

Aiming at the emission of nitrogen oxides from hybrid electric vehicles (HEV), a strategy of diesel hybrid energy management based on decision tree CART algorithm was proposed.Firstly, a classification algorithm combining decision tree and regression tree is proposed to predict the trend change relationship of a case from one or more predictive variables according to the category and variable characteristics.Secondly, by controlling the torque distribution between the engine and the motor, an additional degree of freedom is introduced to adjust the trade-off between pure fuel economy and pure restriction.Finally, the simulation method is used to understand the system performance and adjust the proposed energy management strategy.The results show that in the proposed energy management strategy for diesel hybrid power, the reduction of NOx
has an impact on fuel consumption, and the potential of NOx
emission can be limited by choosing the best operating point and limiting engine power.
A Well-balanced Positivity Preserving Central-upwind Scheme for Shallow Water Flows over Uneven Topography
Authors: Wu Fanjie , Wu Gangfeng , Zhang Kefeng
Published: December 2019

In this study, a well-balanced positivity preserving numerical model based on shallow water equation is developed to simulate flood propagation over uneven topography. The central-upwind scheme is adopted to calculate the flux at the interface of computational mesh. The bed slope source term is discretized using a central difference method to ensure the well-balanced property of the model. The model is able to preserve the positivity of water depth if the Courant number is kept less than 0.5. The proposed model is verified against a benchmark test and then applied to simulate a dam break experiment carried out in CADAM project. The numerical results are in good agreement with observations, which show that the model is capable of predicting the flood propagation over complex topography with a good accuracy.
Advances in Clinical Research on Prevention and Treatment of Diabetic Nephropathy by Jingfang of Promoting Blood Circulation and Removing Blood Stasis
Authors: Li Xiaobing , Liu Wen , Wang Xiao , Huang Mingming , Shi Qing , Wang Tian , Xue Qian , Cao Yuanyuan , Zhang Danhua , Yin Donghao , Yang Mengjie , Duan Junchao , Li Bingqian , Yao Manman , Li Xiaoxue
Published: December 2019

Promoting Blood Circulation and Removing Blood Stasis is key to prevent and treat diabetic nephropathy (DN). After a long-term practice, some JingFang of promoting blood circulation and removing blood stasis (PBCRBS) have been proved to be effective in clinic, which reviewed in this article can regulate the disorder of glucose and lipid metabolism, inhibiting the inflammation as well as oxidative stress of diabetic nephropathy, accordingly reducing renal fibrosis and delaying the degree of DN lesions. The author reviews the research progress of preventing and treating DN by JingFang of PBCRBS in the clinic.
Deterministic Analysis and Research on Reasonable Purchase Price Range Based on Multi - Objective Fuzzy Optimization Model
Authors: Cao Jiaqi
Published: December 2019

Reasonable purchase price has multiple objectives, it is necessary to take into account the increase in food and industry income, but also take into account the development of the entire grain industry, and even to consider improving production efficiency. This paper chooses the minimum purchase price of wheat, the market purchase price, the output and the grain income and the production efficiency as variables, and takes the lower limit of the grain and farmers’ income, the upper limit of the market price and the minimum purchase price, the supply and demand relationship, the inventory restriction, the financial support ability And the scope of international food price as constraints, establishing multi-objective fuzzy optimization model to explore the government’s optimal minimum purchase price decision-making mechanism. Through analysis, it was found that the minimum purchase price developed by the state did not increase the area of grain cultivation, but it effectively inhibited the reduction of grain planting area. Finally, we use this model to predict the minimum purchase price for food for 2017, with a reasonable range of: (115.52, 121.54).
Main Parameters Prediction of the Hot Water Boiler Based on the LSTM Neural Networks
Authors: Liu Sijie , Guo Chengke , Mei Ning
Published: December 2019

This paper presents a data-driven method for the main parameter’s prediction of a hot water boiler. Principal component analysis is used to compress the input dimensions of the model and reserves the main information of the monitored parameters. The validity of the model is demonstrated by a case study of a coal water slurry circulating fluidized bed hot water oiler belong to a heating company. The historical data of the boiler is employed to establish a deep long short memory cell neural network as the prediction. The prediction results of the main parameters could fulfil the demand of the actual engineering.
Key Technology Research of Electric Cars Smart Dynamic Interactive Terminal Charging Path Planning
Authors: Suo Li , Sun Jian
Published: December 2019

In the future a large-scale of electric vehicles will have mutual interact and influence with cities’ intelligent transportation network and intelligent grid network. In recent years, with the popularity of the third-generation mobile communication technology, the use of the Internet for dynamic traffic information and navigation is competent for the traffic information transmission requirements, which can effectively reduce hardware requirements, expand the popularity of dynamic vehicle navigation technology. In this context, this paper proposes a “center” type of electric car charging dynamic route planning service system architecture, and the architecture of the server-side data management technology and services were studied, through GIS technology, the optimal allocation of each electric vehicle charging stations ultimately comes true, which ensures the coordination and harmonization of electric vehicles, charging stations and users, saves the time for travel and charging, and improves operating efficiency.
Analysis on Zero Inventory Management of New Energy Enterprises
Authors: Qi Liu
Published: December 2019

The improvement of cost management and control of new energy enterprises is of great significance for realizing the harmonious coexistence between man and nature.The improvement of enterprise value is benefited from making full use of each cost input to obtain profits. Therefore, it is very important to find out the shortcomings in cost control and optimize it in time.“Zero inventory” is a cost-saving management model that many new energy companies have already implemented, or are exploring.The basic idea of “zero inventory” management is that the enterprise tends to zero the inventory of raw materials, products and finished products in the procurement, production and operation, to avoid the opportunity cost of inventory occupation, and to prevent inventory from being outdated as we ll as risks such as falling prices and damage.This paper takes the necessity of implementing zero inventory management in new energy enterprises as the starting point, analyzes the problems existing in the cost control of new energy enterprises, and puts forward some suggestions for improvement.
Research on Energy Accounting under Energy Conservation and Emission Reduction Policies
Authors: Su Rui
Published: December 2019

In recent years, the rapid growth of the national economy come at the expense of the environmental problems and the resource crisis. Conserving energy and reducing emissions has received more and more attention to help economy achieve sustainable development. More and more countries and companies has been beginning to realize the importance of energy accounting. The paper begins by stating the definition of energy accounting. The accounting content of energy accounting are then listed and discussed, and energy accounting information disclosure is discussed. The necessity of establishing energy accounting under the current situation is analysed. Finally, the paper puts forward the opinions and suggestions for establishing a sound energy accounting system.
Comparison and analysis of the combustion process of three combustion modes of an ethanol - diesel direct injection engine
Authors: Liang Yu , Zhou Liying
Published: December 2019

A diesel engine was modified into an ethanol - diesel direct injection engine. Diesel was injected through the engine’s original pump injection system, whereas ethanol was injected through an installed electronic controlled injection system. 100% of ethanol injection at 240°CA (referred to as B100), 50% of ethanol injection at 240°CA and 50% injected subsequently with diesel at 344°CA (referred to as B50L50) and 100% of ethanol injection with diesel at 344°CA (referred to as L100) were the three combustion modes. Based on test data, a 3D combustion chamber model was established for the analysis of the combustion modes. The result showed that B50L50 had the earliest combustion starting point, the highest combustion pressure and maximum average temperature in the cylinder, the largest maximum cumulative heat release and sufficient combustion. In addition, NO generation was the highest but the soot generation during the initial combustion period was not the highest even though it was high. The soot generation of B100 was the highest. For L100, the combustion starting point was the latest, after burning was severe, cylinder pressure and maximum temperature were lower, NO and soot generation were the lowest, but CO generation was the highest, comparatively.
The research on power dispatching to improve clean energy utilization
Authors: Zhang Jianzhong , Liu Jingwen , Shao Xiang , Du Xianwei
Published: December 2019

This study aims to improve the clean energy utilization in the system of multi-source joint power dispatching and control. This paper constructs a joint optimization dispatching model of complementary power generation. Taking the minimum power generation cost as the objective function and adding clean energy penalty items to the objective function so as to achieve the goal of improving clean energy utilization. At the same time, based on the basic cuckoo algorithm, an improved cuckoo algorithm with chaotic perturbation is proposed to solve this model. Finally, the dispatching model is validated by multi-source joint dispatching system. Dispatching test results show that the method proposed in this paper provides better overall performance than traditional joint dispatching method.
Research on grid supervision index system based on AHP and Multi-level Matter-element Analysis Model in China
Authors: Huang Yi , Li Hui , Wang Zhidong , Yu Xiaopeng , Wang ShiYue
Published: December 2019

In the context of the new situation of electricity reform, the Chinese government has strengthened the supervision of power grid enterprises. By sorting out the power grid supervision documents issued by the government in recent years, it classifies and analyzes its specific requirements for power grid enterprises; classifies and summarizes government regulatory requirements; designs a regulatory model to build a hierarchical model. Using the combination of statistical principle and Delphi method, the index weight of the index system is designed based on AHP; the multi-level matter-element analysis model is used to evaluate the implementation of policies in recent years.
Application Research of Artificial Intelligence Technology in Power System Alarm Processing Method
Authors: Pan Fangfang , He Yongfu
Published: December 2019

The paper first introduces the principles of artificial intelligence and expert systems, and makes a detailed analysis of the application of expert systems in power systems. Secondly, the paper uses VC++ language to establish an expert system for judging power system fault areas and fault types. The system can identify power system bus faults, line faults, circuit breakers and relay malfunctions and refusal faults. Finally, the system simulation test shows that the fault diagnosis expert system established in this paper has certain theoretical and practical significance.
Analysis on the change of power structure and new energy absorption capacity of Shandong power grid
Authors: Chen Yisen , Chen Yang , Che Yongqiang , Zheng Wei
Published: December 2019

According to the current situation and future development trend of power structure of Shandong power grid, this paper analyzes the problems brought by the large-scale access of new energy and the effective measures taken by Shandong power grid under the new situation, and puts the supporting measures of fully absorbing new energy power generation into practice.
Research on Peer-to-Peer Control Strategy for Microgrid Distributed Generation
Authors: Ruan Haojie , Qian Cheng , Wang Changjiang , Lin Yichi , Zhang Xiaobo
Published: December 2019

In between a plurality of microgrid in complex coordination control problems, this paper proposed a droop control strategy for microgrid distributed generation, which can realize micro grid by cutting load, micro grid operation mode switch to smooth the distributed power supply voltage and frequency control. This method bases on droop control principle, research on the effects of P-f and Q-U droop characteristics, design of the droop controller output filter, power controller, voltage current double loop controller based on the established simulation model of the droop controller and the equivalent control strategy of micro grid simulation model. The results of simulation by Matlab/Simulink, analysis of the variation of the micro grid distributed power switch in islanded and grid connected operation mode and the frequency voltage and power, to verify the correctness and feasibility of droop control strategy.
Research on Synchronous Network Platform of Rail Transit Signal System Based on Beidou Satellite Navigation
Authors: Yu Xiping
Published: December 2019

The signal system is an important part of the modern high-volume, high-density rail transit automatic control system, ensuring the safety of trains and passengers, and plays an important role in the high-speed and orderly operation of trains. The paper introduces the latest development and latest requirements of the synchronous network technology of the rail transit communication system; proposes the construction strategy of the urban rail transit network level synchronization network based on the Beidou satellite navigation system; improves the localization rate of the system and realizes the line network level.
A Cloud-computing and big data based wide area monitoring of power grids strategy
Authors: Liu Yingshang , Liang Shouyu , He Chaolin , Zhou Zhifeng , Fang Wenchong , Li Yingchen , Wang Yichang
Published: December 2019

This paper first analyzes the process and characteristics of big data and cloud computing. A cloud-based architecture for cloud-based power grid wide-area monitoring is proposed. This architecture uses parallel computing and big data mining to provide relevant auxiliary decision-making for the grid. The cloud computing architecture of this paper is based on Hadoop and a brief description of the Hadoop architecture is demonstrated. Finally, two scenarios of grid visualization and grid scheduling decision are briefly described.
Intelligent RGV Dynamic Scheduling Optimization Model under Possible Failure
Authors: Wang Hong , Luo Dan , Tao Yuhe , Feng Tuo , Xiong Yuhao
Published: December 2019

This paper analyses the dynamic RGV dynamic scheduling under the condition of possible failure. Firstly, by introducing 0-1 decision variables, the RGV position matrix and the RGV-CNC moving time distance matrix are constructed to meet the requirements of each link in the scheduling process. The time is the constraint condition, and the maximum number of processed materials and the shortest idle time of the machine tool are the objective function. The dual-objective programming model of RGV dynamic scheduling is established, and the double-objective programming problem is transformed into the single-objective programming problem by linear weighted method. For the possible fault conditions during the processing, the Poisson distribution is used to randomly generate the serial number of the CNC fault and the time of the uniform distribution to simulate the fault elimination. Then the improved genetic algorithm of the model is given, and finally the national mathematics model of 2018 is adopted. The contest B is an example and the example are verified. The test results are good.
Research and Application of Inspecting Mode of Converter Station Equipment in the Background of Smart Grid
Authors: Wan Di , Zhang Ming , Duan Shiqi , Bao Jiwei , Wu haojing
Published: December 2019

The inspection of equipment at the converter station is a basic work to discover equipment defects in time, ensure the safe and stable operation of the equipment in the converter station, and improve the reliability of the operation of the inter-area power grid. It mainly relies on the operation and maintenance personnel to perform periodic and regular periodic inspections. In order to ensure the safety and stability of the operation of the converter station equipment, ensure the patrol personnel arrival rate, realize the goal of scientific, standardized and intelligent inspection. On the basis of manual inspection, the advanced robot patrol system is used to design the intelligence of the converter station. The system was patrolled and the modules of the system’s back-end management system were analyzed. The system’s patrol management, defect management, equipment management, query analysis and system management functions are introduced in detail and applied to the actual patrol management work. The inspection method is compared with the traditional inspection method, and good practice results are obtained.
Research and Analysis of Power Outage Dispatch Control System Based on Customer Zero-Blackout Awareness
Authors: Guang Ouyang
Published: December 2019

The paper deeply analyzes the sensitivity of customer blackout perception andthe user perception model. The K-Means clustering algorithm is used for clustering. By analyzing and summarizing the user’s perception of the blackout event, the user is divided into perceptions. By constructing the user perception model, the user perception classification of fault events is realized for the first time, and the decision basis for personalized active services is provided. The user perception model is of great significance to the customer service business application. Based on the perception segmentation result, the user can be provided with personalized and active services. Finally, the paper proposes to establish a power outage management system with no power outage, aiming to improve the service quality of current power customers.
Cross-cultural Management of Chinese Enterprises: A Review of the Literature
Authors: Chen Yu , Wang Fang
Published: December 2019

Culture has a profound impact on multinational enterprises. Especially under the strategy of “one belt and one road”, the Chinese enterprises’ “going out” step is accelerating, and the business management problems caused by different regional cultural conflicts have become a pressing problem at present. This paper reviews the literature of cross-cultural management in Chinese enterprises, mainly analyses the connotation of cross-cultural management, discusses the differences between eastern and western enterprise management cultures and the status quo of cross-cultural management in Chinese enterprises, and gives the mode and strategy of cross-cultural management in Chinese enterprises. For our multinational enterprises, we should establish the concept of cross-cultural management, attach importance to the coexistence and development of multiculturalism, and use cross-cultural management methods to prevent and solve the crisis caused by cultural conflicts.
Analysis of Factors Influencing the Active Current on the Communication Channels between Regional Power Grids
Authors: Liu Kai , Hu Jitang , Wang Dong , Xie Juan , Qu Peng
Published: December 2019

This paper analyzes the changes of active power flow on the communication channel between regional power grids, summarizes the influencing factors affecting the active power flow, and provides a theoretical basis for the analysis of the combined loop conditions of the electromagnetic loop network between regional power grids. From the perspective of the power angle characteristics of the power system, the relationship between the active power and the power angle of the power supply of the two power networks is derived. The influence of the power angle change on the active power flow in the communication channel between the regional power grids is theoretically analyzed. The correctness of the derivation conclusion is verified by ETAP simulation modeling. Finally, the 35kV grid in Shou County, Huainan, is taken as an example to analyze the influence of power angle on the active power of the loop. The research results show that the change of power angle on the communication channel between regional power grids has a direct impact on the change of active power flow, and the power angle can be used as an important criterion for the electromagnetic ring network.
Research of Virtual Ship Fire-fighting Training System Based on Virtual Reality Technique
Authors: Wu Hao , Yang Jiandong , Chen Chao , Wan Yun , Zhu Xiaoran
Published: December 2019

For ocean-going ships, safety is very important. And fire would be the brunt of ship disasters and accidents. So fire emergency training is a priority. The virtual ship fire-fighting training system based on virtual reality technique plays an important role on training.
Research on Performance Improvement of Resource and Energy Enterprises Based on the Perspective of Female Executive Compensation Innovation Management
Authors: Chen Meiqi
Published: December 2019

Today, with the rapid development of economy and culture, women have broken through the shackles of “workplace bias” and actively participate in the economic activities of energy-based enterprises. In resource-energy-based enterprises, the effect of female executives on the performance improvement of energy-based enterprises is irreplaceable. Few scholars in resource-energy-based enterprises have focused on the performance improvement of energy-based enterprises by female executives, and there are few studies on the salary and treatment of female executives and the performance of energy-based enterprises. To this end, the thesis takes female executives as the research background, explores the mechanism of female executives’ performance on energy-based enterprises, and promotes the performance of female executives on the performance of energy-based enterprises through innovative compensation management methods. The author uses this research to help resource and energy-based enterprises to develop more suitable programs for women’s executive management and development, and hopes to benefit the development of energy-based enterprises in the industry.
RETRACTED: Research on Big Data Analysis Platform of Power Grid Enterprise Accounting Based on Cloud Computing
Authors: Tian Jia , Xu Dan , Cui Meng
Published: December 2019

With the development of smart grids, big data is generated in all aspects of the power system, and the traditional financial system is no longer able to accurately analyze the large amount of financial data. In this paper, based on the problems arising from the traditional financial system decision-making process, the decision-making of grid financial system based on big data and cloud computing is proposed. Through the analysis of the big data characteristics of the power system, the application of big data and cloud computing in the smart grid is clarified, and the external application oriented to the customer group and the internal application oriented to the system flow are explored. Taking the operation and maintenance cost of an actual substation in the power grid as an example, the paper uses the idea of big data to conduct scientific research on its operation and maintenance cost, which intuitively reflects the application of big data, and makes the readers clearer and vividly see big data. How to apply it to accelerate the application development of big data in China.
Talking about the Improvement of Financial Accounting in Manufacturing Industry in the Age of Internet Big Data
Authors: Lv Yanrong , Yang Yang , Cui Meng
Published: December 2019

The article expounds the changes in financial analysis methods and analytical thinking of manufacturing enterprises in the era of big data, and then points out that big data technology has improved the “decision usefulness” of financial analysis, and built a financial accounting sharing information platform in the era of Internet big data to achieve The financial information between the corporate departments is effectively shared. Finally, the paper analyzes the challenges brought by the big data era to the financial accounting work, and points out the countermeasures to deal with the challenges.
Approach for the spatio-temporal diffusion process and path model of disaster system
Authors: Li Ang , Li Min
Published: December 2019

The diffusion-oriented disaster system in spatial-temporal networks can be used to excavate the chain relationship between disaster nodes for using the similar space vectors. A methodological approach to analyze the vulnerability of interdependent infrastructures has been introduced. In this paper, the main purpose is to develop the diffusion process and path model of disaster system. Based on spatial-temporal factors, a model for identification of risk of a region is built. It describes the relationship between distance and time in the diffusion process of disaster system. Furthermore, to demonstrate the path of disaster spreading using the improved algorithm of the ant colony. The results show that the diffusion of disaster system is a typical spatial-temporal unified diffusion process, the space distance can hinder the spread of the disaster, and the number of the affected nodes in the region is a negatively exponential relationship with the distance factor. The application of ant colony optimal algorithm to the research of disaster diffusion path has high accuracy and practicability.
Design and Analysis of Castor Material Cleaner Machine
Authors: Hou Junming , Jin Jie , Chang Kaiyang
Published: December 2019

Castor oil plant is an important oil crop. According to the physical characteristics of castor oil plant to be cleaned, the parameters of feeding hopper, vibrating screen and other components were designed, and the air separation device was simplified in this paper. Secondly, the theoretical cleaning capacity and efficiency of castor oil plant cleaning machine under assumed conditions are calculated, and the selection of motor and belt drive part are calculated theoretically. Finally, the sheet metal design and angle iron forming are used to conduct three-dimensional modeling design for the two parts, and the simplified model of the screen body drive mechanism is analyzed through the motion to find out the basic laws of the screen body movement. By studying the kinetic characteristics of castor bean, the aerodynamic equation and kinematics equation of castor bean were established. This study can provide a theoretical basis for the development of castor oil plant cleaning equipment.
Improving Performance of Fibriform Supercapacitor Based on Cotton Thread by Uncoiling Dip-Coating Procedure
Authors: Ye Xingke , Zhu Yucan , Jiang Hedong , Yue Ziyu , Jia Chunyang
Published: December 2019

Fibriform supercapacitor (FSC) based on cotton thread (CT) produced by dip-coating presents great potential in wearable electronics. However, active materials especially for reduced graphene oxide (RGO) sheets tend to restack on the surface of CT and are difficult to permeate into the inside of CT, thus fading performance. In this work, each cotton yarn (CY) obtained by uncoiling CT is uniformly covered by GO (GO-CY) and RGO coated CT (RGO-UCDCT) is obtained through twisting these GOCYs, followed by subsequent reduction. Uncoiling dip-coating alleviates the restacking of RGO sheets on the surface of CT. Thus, the FSC based on RGO-UCDCTs exhibits superior performance including high volumetric capacitance of 1.85 mF cm-3 and good rate capability. The findings provide a cost-effective procedure of uncoiling dip-coating for improving performance of CT based FSC.
Dynamic Reliability Analysis of Tower Crane with Wind Loading
Authors: Jiang Hongqi , Li Yu
Published: December 2019

The wind-induced dynamic reliability of tower cranes was studied. A linear filter autoregressive (AR) model is used to simulate the time history of multidimensional fluctuating wind samples, and the corresponding wind load is applied to the finite element model of tower crane to analyze the wind vibration response. Based on Poisson process method, wind vibration reliability analysis of tower crane is carried out.The results show that under the action of wind speed of 20m/s, the probability of strength reliability is over 0.99, and the structural strength reserve of this type of tower crane is relatively sufficient; the displacement reliability is 0.98, when the wind speed is large, the displacement reliability decreases obviously, and the stiffness reserve is slightly insufficient.
Experimental Study on Internal and External Noise Characteristics of a 10kV Oil-immersed Transformer
Authors: Lu Ling , Mo Juan , Song Shubing , Ma Yuchao , Xu Lianhuan , Cao Hao
Published: December 2019

This paper investigates the internal and external noise characteristics of a 10kV oil-immersed transformer based on advanced acoustic measuring technology. A kind of fibre-optic hydrophone is installed inside the transformer and four acoustic sensors are placed outside in the air. The noise is measured under the condition of no-load and short circle, and the amplitude and frequency characteristics are obtained. The results show that the amplitude of internal noise is higher and contains more high order harmonics when compared with the external noise. It means the internal noise has a higher signal noise ratio, and contains more information. These results can be used for further research such as transformer noise generating mechanism, transmission regulation, transformer noise controlling.
Enhancement of superconducting properties of GdBCO bulk with the additives of Gd3ZrO7 particles
Authors: Yuan J W , Xu J M , Zhou L Z , Zhang Y F , Zhang J Y , Zhang X J , Zhang T Y , Zhou W L , Xu Y , Izumi M
Published: December 2019

Due to the high performance in trapped magnetic field, critical current density, REBa2Cu3O7-δ(RE123 or REBCO, RE=rare earth elements, Gd, Y, Nd, etc.) bulk high temperature superconductors (HTS) have attracted lots of attentions. GdBCO superconductor bulk with 25 mm diameter and the additive of Gd3ZrO7 particles has been successfully fabricated by top-seeded infiltration and growth (TSIG) method. YBa2Cu3O7-δ (Y123) particles have been used as the liquid source, which provide enough the liquid source during the growth.The GdBCO bulk is a clear fourfold single domain with a four square around seed crystal, which is similar with the additive of the particles include Zr ions. The shape of the trapped field for the GdBCO bulk with 0.8%mol is a conical structure with 0.56T, which indicates the high performance of GdBCO bulk. The critical current density of B1 near the edge shows the maximum value. Gd3ZrO7 doping provides enough Gd ions to form Gd211 particles, which enhance JC
near the edge of the bulks. The onset TC
value increases to 95.5K and keeps the superconducting properties. The experimental data is useful for the industrial applications of the high-temperature superconductor bulk.
Analysis of Energy Saving and Consumption Reduction Effect of Ejector confluence on Heating Unit
Authors: Liu Jun , Zheng Wei , Zhu Lingkai
Published: December 2019

Achieving the utilization of thermal energy according to its quality is the main means for power generation enterprises to improve the efficiency of primary energy utilization. This paper introduces the application of ejection confluence technology in 330 MW unit of a factory, and calculates and analyses the energy saving effect under the ejection confluence mode based on the method of thermal performance test. The results show that when the unit load is above 210 MW, the average energy saving of ejector-confluence heating mode is 2.18 g/(kW·h) relative to reheat heating mode.
Dual Mode Pseudo-Range Differential Positioning Method
Authors: Cai Chenglin , Wang fa , Qiu Yunxiang
Published: December 2019

Use the Beidou/GPS dual-mode pseudo-range differential positioning method is used to perform high-precision positioning and navigation for the UAV. The error separation differential positioning method is proposed to solve the problem that the correction difference calculated by the traditional differential positioning method is affected by the change of the baseline length, the reference inter-satellite difference method eliminates the reference station receiver clock error and performs ultra-short baseline and short baseline positioning tests. The positioning accuracy is better than 0.4 meters in the horizontal direction and the elevation is better than 0.5 meters.
Load Sharing Behavior of Double-Pinion Planetary Gear Sets Considering Manufacturing Errors
Authors: Liu Weiqiang , Li Junqing , Kang Yanlong , Liu Yanfang , Xu Xiangyang , Dong Peng
Published: December 2019

The unequal load sharing of double-pinion planetary gear sets (PGSs) would take place because of manufacturing errors. A quasi-static model, suitable for any planet train number and support condition, was proposed considering manufacturing errors. The load sharing ratio of double-pinion PGSs with four planet trains was simulated for various planet position errors, whose results show that the radial planet position error has different effects on the load sharing behavior from simple PGSs. The mechanics for this phenomenon was revealed. The effect of the planet train number on the load sharing behavior in the presence of different planet position errors was then simulated by introducing the equivalent error variable. Finally, the effect of gear eccentricity errors on the load sharing behavior were simulated and some important characteristics were revealed such that the planet eccentricity error has worse impacts than position errors, and the effect of the eccentricity error of sun gear could be eliminated by floating the sun gear.
Research on Dynamic Inductance Characteristics and Directivity of Cluster Wave Generator
Authors: Zhou Xunkuai , Huang Dagui
Published: December 2019

The experimental research on the cluster wave generator is carried out, and the time-varying model of the diaphragm displacement of the cluster wave generator is established. The position-varying model and time-varying model of the dynamic inductance of the cluster wave generator are further established. The circuit of the cluster wave generator is studied. The influence of dynamic inductance on the current in the loop is analyzed. The sound field simulation of the cluster wave generator is carried out, and the directivity distribution of the cluster wave generator is analyzed. The results show that the current amplitude and decay time in the cluster wave generator circuit are reduced due to the existence of dynamic inductance. The cluster wave generator has not directivity at low frequencies, medium frequency directivity is good, and high frequency directivity is poor.
Tool Orientation Planning Based on Kinematic Relation of Five-Axis CNC Machining Tools in Sculptured Surface Machining
Authors: Duan Xianyin , Zhang Can , Zhu Zerun , Chen Xinyue
Published: December 2019

Five-axis machining has been applied in sculptured surface manufacturing more and more widely. Tool orientation planning becomes important for higher machining precision. For this purpose, planning method based on kinematic relation of five-axis CNC machining tools is proposed to control the variations of the cutter-axis vectors and the motion axes. Through establishing smoothness index for reflecting the variations of the cutter-axis vectors and the motion axes and the kinematics model of machine tool with general structure, the overall smoothness model of the cutter axis vector and motion axes considering the kinematics spatial mapping is established, and the tool orientation planning is completed. Determination and simulation of the tool orientation are conducted through machining a complex blade surface. The results of the simulation result showed that the tool orientation planning method improved the smoothness of the processing and the efficiency.
Structure Optimization Design for Evaporation Substrate in Natural Cooling System Based on the Application of Power Electronics Equipment
Authors: Shi Qiuyu , Kang Wei , Mu Xiaobin , Chen Hao
Published: December 2019

Based on simulation, the structure optimization of a Cu evaporation substrate in natural cooling system is conducted, which can be used in power electronics equipment. The relationship between the welding area ratio and stress of evaporation substrate is investigated. The evaporation substrate is one of the most important components in a natural cooling system. Through utilizing phase-transition technology, heat dissipation is realized by a natural cooling system. During operation of evaporation substrate, increase in internal gas pressure, caused by the evaporation of working fluid, leads to deformation of evaporation substrate. Therefore, strengthen-columns are introduced to reinforce the evaporation substrate. Both Pro/E simulation outcomes and experimental results based on structure optimization of evaporation substrate indicate that the optimal design is achieved at a welding area ratio of 1.844%, namely the arrangement of strengthen-columns is 11 × 14 × 3 mm. With this arrangement, the minimum stress on welding surfaces of strengthen-columns and minimum deformation of the evaporation substrate are achieved, which can meet the engineering requirement.
Kinematics and Error Analysis of Single Motor Driving Multi-Stage Metamorphic Mechanism
Authors: Ge Zhuang , Xie Leichao , Yang Shangkui , Zhu Shuyun , Cao Yongzhan , Liu Yuwang
Published: December 2019

Traditional series robots have the disadvantages of complex structure and complicated control. Almost all of them have no adaptive ability. Although soft robots have good adaptive characteristics, they also have the limitations of poor bearing capacity and low stiffness. In addition, their motion trajectory and motion precision are difficult to achieve accurate control. In order to solve the above problems, based on a single motor-driving multi-stage metamorphic mechanism, this paper carries out kinematic analysis and error analysis to determine the motion trajectory and motion accuracy of the multi-stage metamorphic mechanism. And this paper uses ADAMS to carry out simulation calculation. Comparing the theoretical calculation results and simulation calculation results, and determining the errors between the multi-stage metamorphic mechanisms, so as to ensure the accurate position of the multi-stage metamorphic mechanism during work. The multi-stage metamorphic mechanism realizes stable and efficient work.
Research and Design of Rotary Optical Electric Field Sensor
Authors: Liu Jun , Wang Hangchao , Li Yansong
Published: December 2019

In order to solve the problem that traditional optical electric field sensors are susceptible to temperature, charge drift and other internal and external factors in the measurement of DC electric field and ultra-low frequency electric field, an optical electric field sensor with rotating structure is proposed. The mathematical model of the output signal of the sensor is theoretically analyzed and deduced, and the structural design scheme of the sensor is given, and the experimental verification is carried out. The simulation analysis and experimental verification results show that the rotating optical electric field sensor has good linearity, and can improve the measurement accuracy and stability of the sensor when measuring DC electric field and ultra-low frequency electric field.