bluuebunny/crossref_metadata_2025 huggingface dataset:
Oil Depot Safety Inspection and Emergency Training System Based on Virtual Reality Technology
Authors: Wan Jing , Zheng Yue , Li Yonghui , Mei Huiwei , Lin Lanfang , Kuang Liping
Published: April 2020

An oil depot safety inspection and emergency training system based on VR technology is proposed in this paper for the safety inspection and emergency training with the problems of high cost, high risk, difficulty to repeat, unsatisfactory training effect and single form in hazardous chemical industry such as oil-gas storage. The system utilizes VR development engine, applies 3D Max, Unity 3D and Visual Studio and other development software to complete 3D scenarios building and visualization of the oil depot, furthermore, achieves highly realistic picture effects by HD scriptable render pipeline technology, so as to realize dynamic simulation of various application scenarios such as realistic three-dimensional roaming, knowledge learning, safety inspection and typical fire accident emergency drill. The application results show that the system can effectively improve the pertinence, interesting, operability and implementation effect of oil depot safety inspection and emergency training, so as to achieve the purposes for improving the level of safety knowledge and skill and reducing safety accident.
Research on Regional Logistics Capacity of Agricultural Products in Henan Province
Authors: Liu Xinlu , Hou Hanping , Yang Jianliang , Geng Shaoqing , Ju Yingjie , Yao Tianhui , Ren Hongzhi , Zou Jingyan , Wang Wenjuan , Wang Liting
Published: April 2020

There are many kinds and large scale of agricultural products in Henan Province of China. To research on regional logistics capacity of agricultural products is helpful for us to understand the advantages and disadvantages of agricultural products logistics capacity. However, there are many influencing factors and large complexity in the evaluation of agricultural product logistics ability, so it is necessary to establish a scientific variable system. In this paper, 10 variables are selected from three dimensions which are regional economic variables, regional basic variable, and regional development variable, therefore the variable system is constructed. The regional agricultural product logistics capability of 18 cities in Henan Province is evaluated by factor analysis and Cluster Analysis. It is found that logistics development is different among these cities with the low efficiency and high loss of agricultural product logistics. In addition, on the basis of conclusion of the analysis, some suggestions are putting forward to promote the development of agricultural products logistics.
Sealing Performance Optimization of High Temperature Resistant Steam Sealing Thread of Casing in Heavy Oil Thermal Recovery Well in Xinjiang Oilfield
Authors: Song Lin , Wang Xuegang , Wu Yanxian , Zhong Shouming , Yin Wenfeng
Published: April 2020

API trapezoidal thread can not adapt to the high temperature environment of heavy oil thermal recovery in Xinjiang Oilfield. Serious casing damage occured due to leakage of API trapezoidal thread leakage. In this paper, based on API trapezoid thread structure, a sealing structure with conical surface and shoulder surface were added at the end of the thread. Therefore, a high temperature resistant steam sealing thread (HTRSS thread) suitable for heavy oil thermal recovery well was designed. The influence of the taper of the conical surface and the angle of the shoulder surface on the sealing performance of the thread was analyzed by the finite element method. The sealing structure with the taper of the conical surface of 1/16 and the angle of the shoulder of 10° was optimized. By comparing with the sealing performance of API trapezoid thread and field application, it is verified that the HTRSS thread has excellent sealing performance. The application of the HTRSS thread can effectively reduce the casing damage rate of heavy oil thermal recovery wells and save the heavy oil production cost.
Application and Research of Multiple Support Types in the Combination of Deep Foundation Pits
Authors: Zheng Suping
Published: April 2020

We are studying the foundation pit support technology is currently the most common engineering problem in foundation pit engineering, and this is very important for the selection of support structure. We found that construction techniques such as soil-nailed walls, cast-in-place piles, triaxial cement mixing piles, row piles, anchors (rods), deep well dewatering, and internal support in foundation pits are more common construction methods in deep foundation pit support technology. During the design and construction process, according to the different environmental conditions, engineering geological conditions and support requirements of the construction site, we can flexibly adopt a variety of support types to form a safe and reliable support system. Using this method can ensure the foundation pit is opened. Safety during digging. We found in the project an example of the design of the full-type technology of the support group of “filled pile + internal support”. We applied the rational foundation pit algorithm to the excavation process of the soft soil deep foundation pit under the row pile support. The variation of the moment of the pile body, the lateral deformation of the pile body and the ground settlement around the foundation pit due to excavation were analyzed. In the project, we combined the monitoring information of the foundation pit, and the experimental results resulted in this type of support combined support technology. In the foundation pit support technology, the limited deformation results are good, and the impact on the surrounding foundation is small. Studies have proved that this technology can provide a reference for similar engineering practices, and the technology has practical research significance.
A Novel RO/FO Hybrid Seawater Desalination System and Its Software Implementation
Authors: Shi Yaoke , Du Xianjun , Jegatheesan Veeriah , Liyanaarachch Susanthi
Published: April 2020

Seawater reverse osmosis (SWRO) desalination technology is being widely used in coastal countries to meet the supply demand of fresh water for living and industry using. Despite major advancements in SWRO technology, the desalination industry is still facing significant practical issues. Generation of higher volumes of pretreatment sludge and low overall water recovery are the two of the major issues. A novel hybrid reverse osmosis-forward osmosis (RO/FO) system is proposed to overcome the above two drawbacks. Mass balance calculations based on laboratory experiments have been used to predict increased water recovery and reduced pretreatment sludge volume arising from large scale (340,000 m3/day of intake) and small scale (15,000 m3/day of intake) hybrid SWRO desalination plants. After that, we developed a software for the RO/FO hybrid system in MATLAB, and different water flux values were studied to verify the system. It was packaged into executable files and it can run smoothly on computers without MATLAB installed. By setting different operating parameters in the RO/FO system software interface, the percentage reduction of pretreatment sludge volume, increase in overall RO water recovery, FO membrane area required and dilution in RO reject can be estimated quickly in a variety of different options.
Self-Tuning of PID Parameters Based on Adaptive Genetic Algorithm
Authors: Zhao Jimin , Xi Miao
Published: April 2020

Aiming at the problems existing in the PID parameter tuning of traditional genetic algorithms, a method of applying adaptive genetic algorithms to parameter tuning was proposed. It takes system overshoot and dynamic performance indicators as the objective function, optimizes the crossover and selection probability in the genetic algorithm, reduces the probability of the system entering a local optimum, and makes the system converge faster. Comparing the traditional manual tuning PID and the genetic algorithm (GA) PID controller with the adaptive genetic algorithm (AGA) PID controller, it is concluded that the use of adaptive genetic algorithm can improve the performance indicators of the system.
Evaluation and Analysis of Bearing Capacity of Masonry Arch Bridge Based on Structure Detection and Checking Analysis
Authors: Qiao Guodong , Tang Zujie , bi Suosong
Published: April 2020

In this paper, on the basis of structure detection and technical status evaluation, the load effect and bearing capacity of the key section of masonry arch bridge under the most adverse load were calculated based on the theoretical model, and then the bearing capacity was evaluated comprehensively. The results of the project can be used for reference for similar bridge detection and evaluation.
Research on Calculation Model of Cutting Bed Thickness of Horizontal Well
Authors: Hao Wen , Hao Wu , Qian Li
Published: April 2020

Correctly understanding the law of migration of the cuttings bed and the settlement of the cuttings have a great effect on the effect of wellbore purification. According to the flow law of solid-liquid two-phase flow in the wellbore, a model for calculating the height of the cuttings bed and a starting model of the cuttings bed are proposed, and a method for predicting the thickness of the cuttings bed is proposed.
Research on Lane Recognition of Auto-Driving Vehicles
Authors: Bai Yuefei
Published: April 2020

This paper introduces the algorithm design of lane recognition system. In the binarization module, a double-division maximum inter-class variance filter iterative algorithm is proposed to guarantee the speed and quality of binarization. In the middle, the close-up part adopts the block-type Hough line extraction technology, and the second close-range part adopts an approximation-based extraction method to ensure the processing speed.
Research on the Application of Computer Deep Learning in Image Processing
Authors: Zhang Songchun , Zhang Zihao , Qiu Juliao
Published: April 2020

The rapid development of Internet technology has made the whole society enter the era of big data. In recent years, the development trend of artificial intelligence and machine learning has also risen sharply. Informatization has become an important feature of the current era. As an indispensable common information carrier, images not only facilitate people’s communication, but also promote the development of deep learning processing image technology. Based on this, this paper analyzes the application of computer deep learning in image processing. Firstly, the deep learning is summarized, its concept and origin are briefly introduced, and then the technical classification, development process and processing purpose of image processing are expounded. Finally, the application of computer deep learning in four aspects is analyzed in detail in image recognition, image denoising, image classification and image enhancement, and it has certain significance for promoting the research and application of deep learning.
Research on the Development Status of Artificial Intelligence and Its Application in the Internet of Things
Authors: Gao Xiang , Li Qixuan , Liu Fengrui
Published: April 2020

With the rapid development of science and technology in recent years, artificial intelligence has been gradually applied to all aspects of people’s lives, which has greatly promoted the development and application of the internet of things technology. The internet of things has enabled information exchange between people and things, things and things, the artificial intelligence technology has greatly expanded the application scope, application depth and intelligence of the internet of things. Based on this, this article analyzes the development status of artificial intelligence and its application in the internet of things. First, it gives an overview of artificial intelligence, introduces its concept and implementation, and then analyzes the development status of artificial intelligence, including the development difficulties and future development direction. Then introduces the concept, classification and key technologies of the internet of things, and finally explains the application of three aspects in the internet of things in detail. In the context of today’s information globalization, it is of practical significance to strengthen the research on the application of artificial intelligence in the construction process of the modern internet of things.
Experimental Study of Influence Factor Based on Principal Component Analysis to Frozen Earth Thaw Settlement
Authors: Yuan Jiaqi , Wang Wei , Xia Weiyan
Published: April 2020

Thaw settlement property of seasonal frozen earth has great effect to buildings; the grading of thaw settlement can accurately reflect the thaw settlement grades of frozen earth and judge the thaw settlement character of the frozen earth. Taking silty clay and sand of Changchun Area as research object, the article conducts experimental research to moisture content, dry density, plasticity index and initial temperature of freezing; the article adopts principal component analysis method to conduct analysis to the experiment and gets the weighing of all influence factors to thaw settlement property, ie., by calculating the comprehensive scores of all influence factors, we get its incidence to thaw settlement. The result shows that: the primary and secondary relations that affect thaw settlement property factor of silty clay are: moisture content>initial temperature of freezing>plasticity index>dry density; the primary and secondary relations that affect thaw settlement property factor of sand are: moisture content>initial temperature of freezing>silt content>dry density;the comprehensive score ranking got by principal component analysis method can reflect the ranking of thaw settlement property grading to some extent, which provides theoretical foundation for the further deepening of recognition for thaw settlement property.
Research on Smart Antenna System Based on Beamforming Algorithm
Authors: Wang Weijiang
Published: April 2020

As the most important element of mobile communication, antenna is the component that radiates and receives electromagnetic waves.The performance of the antenna plays a very important role in the overall performance of mobile communications.Due to the increase in user demand, mobile communication systems are increasingly demanding antennas.In this paper, the composition and principle of the smart antenna system are analyzed. The smart antenna system is composed of an antenna array, a group of beam forming networks and algorithms. Compared with the antenna of the traditional antenna, it has no interference between signals and reduces. The characteristics of external interference and noise, and improved signal coverage, the research results show that smart antenna technology will provide the best service for future mobile communications.
Analysis on Combustion Process of a 396 Series Diesel Engine with Flat-top Convex Basin Combustion Chamber
Authors: Liang Yu , Zhou Liying , Xu Mingfei , Yao Guwen
Published: April 2020

The 396 series diesel engine has been widely used in many fields in China. The combustion process of the 396 series diesel engine with flat-top convex basin combustion chamber is analyzed by using the computational fluid dynamics software FIRE, and a 3D combustion model was established. The fuel spray, ignition start point, combustion pressure, combustion heat release rate, average temperature in cylinder and NO emission were compared and analyzed when the 5-hole, 6-hole and 8-hole uniformly distributed injectors were adopted. When injectors with different injection holes are adopted, the ignition delay period is basically the same and the fire occurs in the same place. The proper number of injector hole shall be selected to enlarge the space area occupied by fuel spray. The 6-hole injector is featured by higher pressure in the combustion cylinder, higher average temperature, better combustion process, higher thermal efficiency and higher NO emission. This research result provides a basis for selecting suitable injector for the 396 series diesel engine with flat-top convex basin combustion chamber.
Urban wetland in ho chi minh: an investigation of plant diversity and implications for sustainable urban development
Authors: Phi Pham Hoang , Long Nguyen Van
Published: April 2020

Urban wetland has played an important role in creating a live well environment for people and creatures. The rapid urbanization was considered to be the main cause of narrowing wetland area instead of impervious surfaces and construction areas. Thu Thiem is an only remaining wetland in Ho Chi Minh metropolitan where is facing a series of urban problems such as urban heat island, air pollution episodes and flooding. This research aims at investigating plant diversity in the entire Thu Thiem wetland area covering various landuse. The findings show that plant species of Thu Thiem is considered to be diverse with 137 species of tracheophyta plants of 121 genera, 58 families with dominant species. The Shannon diversity index is 3.36, 3.6 and 4.11 for wetland located in forest land-cover, agriculture land-cover, and bare soil respectively. The simultaneous existence of both brackish and freshwater plant species was also found in this research area. In addition, water quality in 75 investigation points of Thu Thiem wetland was analysed based on modern physicochemical method. Water quality index shows that this area has been organically polluted. Based on these findings and ecological function of an urban wetland, various suggestions have been proposed for sustainable development strategies, design and planning which aim at mitigating the various urban problems e.g. water pollution, flooding, ecological landscape and urban life in the metropolitan of Ho Chi Minh.
Research on water inrush and mud inrush from water-rich fault fracture zone of deep tunnel in mountainous area
Authors: Guo Yanhui , Ma Mengxiang , Rao Biyu , Lu Jincai , He Jin
Published: April 2020

Taking the potential risk of water and mud inrush in the construction of a water conveyance tunnel of a hydropower station as the engineering background, based on the field investigation and data collection, the whole process of tunnel construction is simulated and analyzed by using 3D finite element Midas. The results show that because the tunnel passes through the strong water rich fault fracture zone, the filling material in the fault fracture zone has obvious stress concentration under the coupling action of high stress, high pressure seepage and construction disturbance, and the displacement of the filling material has increased significantly. After the fault fracture zone is exposed, the seepage speed has increased significantly, indicating that water and mud inrush disaster has occurred here. It is suggested that when the tunnel passes through complex water-rich fault, monitoring and early warning and excavation support measures should be strengthened to prevent water and mud inrush accidents. The research results have a certain guiding role for the safe construction of the tunnel project.
Comparative Performance Analysis of Different Travelling Mechanisms Based on RecurDyn
Authors: Tang Shufeng , Guo Zirui , Wang Guoqing , Wang Xu
Published: April 2020

According to the characteristics of different travelling mechanisms of the robot, the kinematic equations of wheeled mobile robot and tracked mobile robot are established by using the kinematic theory; the tire system and the triangle track system are established by using the multi-body dynamics simulation software RecurDyn, and the simulation analysis is carried out under the road conditions such as over the boss, according to the principle of single variable; manage the data, and we can get the difference of the robot’s performance in obstacle surmounting, speed and stability. The results show that when the mobile robot adopts the travelling mechanisms of wheel shoe combination, it can improve the overall motion performance, and provide a new idea and direction for the future design of the travelling mechanism.
Research on Classification and Recognition of Object Image Based on Convolutional Neural Network
Authors: Wang Xianlun , Yang Zuomin
Published: April 2020

Image recognition and classification using a convolution neural network is an important application of image processing. How too reasonably to design the convolutional layer of the convolutional neural network, the number of hidden layers and optimize the parameters of the convolutional neural network to ensure high accuracy and efficiency in image recognition and classification are an extremely important part. The core of this thesis is the model design and parameter optimization of deep convolutional neural networks. This paper mainly designs, implements, optimizes and adjusts the model structure of the convolutional network of Tensor Flow framework platform. We redesigned the convolutional neural network model to a depth of 19 layers and used two data sets for training, testing and parameter optimization. Experimental results show that the convolution neural network models presented in this paper is superior to other neural network models in accuracy and efficiency of image recognition and classification, and has a good guiding role in solving practical engineering problems.
An Estimation Method of Accurate Adjustment of Spacecraft Instruments
Authors: Ruan Guowei , Long Changyu , Zhang Yuhang , Liu Xiao
Published: April 2020

Spacecraft instruments require to be assembled and adjustment precisely. In this essay, an estimation algorithm of precise assembly adjustment of Spacecraft instruments in the manufacturing field of satellite assembly. This algorithm, based on measurement data and measuring technology, transforms the estimation of unidirectional spacer adjustment into the form of coordinate system changing so as to realize precise adjustment of orientation of satellite instruments. The implementation method is as follows: According to the value of the actual measurement matrix and the design measurement matrix, the measured global coordinates and the designed global coordinates of each spacer are obtained to establish the spacer adjustment equation. Then, according to the number of the spacers, constraint equation of spacer plane is established to form over-determined set. Spacer adjustment value could be obtained by solving the over-determined set. In case it does not satisfy the standard, repeat the above procedure. This method is more applicable by transforming the adjustment process of the targeted spacer of satellite instrument into three-dimensional coordinate transformation. A three-dimensional coordinate transformation model of precise adjustment of Spacecraft instruments in complex state is established, which overcomes the problem of insufficient practicality of vector algorithm and improves the adjustment efficiency.
Research on Automatic Calibration and Correction Method of Intelligent Turbine Flowmeter
Authors: Zheng Wenlong , Yi Jianjun , Ma Yue , He Wang , Chen Bin , He Liang
Published: April 2020

In the process of industrial automation production and daily life, the flow is an important parameter that often needs to be measured and controlled. In order to ensure the accurate measurement of flow meter, the flowmeter needs to be calibrated before production, during use and after maintenance. However, most of the existing calibration methods are complicated in the calibration process, and there are many human interventions. The functions of the intelligent flowmeter are not fully utilized, and the unified management requirements for equipment during large-scale deployment cannot be met. This paper provides a method for automatic calibration of intelligent turbine flowmeter, which can be applied to a variety of intelligent instruments. In the calibration phase, the flowmeter automatically completes the calibration data collection at each calibration point set by the user. After all calibrations are completed, the calibration data will be stored in the flowmeter inside and it also will be uploaded to the host computer through the wireless network. At the same time, the configuration information can be received remotely. In the measurement phase, according to the internal calibration data and the K value fitting method selected by the user, the flowmeter can realize the non-linear correction of flow measurement and improve the accuracy of measurement results. User also can self-configure the instrument parameters. Compared with the existing calibration and correction methods of flowmeter, it simplifies the calibration process, has a high degree of automation, improves the accuracy of measurement results, and gives full play to the functions of intelligent instruments.
Visualization of Ship Collision Risk in the Inland Bridge Waterway Based on the Maritime Traffic Simulation
Authors: Xu Wuxiong , Sang Lingzhi
Published: April 2020

The collision risk is increasing in inland bridge waterways given that the restrictive waterway and many of obstructions. It is crucial for seafarers and supervisors to identify the high-risk areas in a bridge waterway. This paper takes the Wuhan Bridge Waterway in the Yangtze River as a case. In accordance with the maritime traffic simulation, the potential collision frequency and its distribution are obtained in order to evaluate the risk in different areas of the case waterway. The nautical routes with respect to the ships passing the waterway and ferryboats crossing over the waterway are then modeled. A collision detecting method is proposed to obtain the collision information extracted from the simulation data. This collision information is visualized in order to illustrate the collision risk in each area. The high risk sites can be illustrated by the proposed method in order to assist the maritime supervisors in paying pointed attentions to the identified sensitive areas.
Adsorptive and Photocatalytic Dye Removal from Wastewater Using Metal-Organic Frameworks
Authors: Wei Fuhua , Ren Qinhui , Yang Lili , Wu Liu , Jian Qianqian , Liang Zhao , Chen Ding
Published: April 2020

Trimesic acid in conjunction with microwave-assisted ball milling was used to produce Fe-based metal-organic frameworks (Fe-MOFs). Fe-MOFs were then used to eliminate organic dyes from aqueous solutions. Our results indicated Fe-MOFs eliminated nearly all Methylene Blue (MB) and Methyl Orange (MO). Within 120 min of Xe or natural light exposure, Fe-MOFs were able to remove 93.11% and 91.6%, respectively, of 10 mg/L MB in a 200 mL solution. Within 300 min of Xe or natural light exposure, Fe MOFs were able to remove 96.34% and 52.32%, respectively, of 5 mg/L MO from a 200 mL solution. Collectively, these results show that both dyes are suitable for use in the second kinetic model.
Analysis and Research on Vibration Severity of Planetary Shifting Mechanism
Authors: Li Shenlong , Zhang Qiang , Li Liang , Xing Qingku
Published: April 2020

The vibration severity indicates the severity of the vibration and is usually expressed by the maximum, average or root mean square value of the displacement, velocity and acceleration that characterize the vibration level. In this paper, based on the calculation of vibration severity, the arrangement of test measuring points, the selection of typical working conditions and the analysis of test results, the vibration severity of planet Shifting mechanism is tested and studied, and the rating is completed according to the relevant evaluation method of national standard, which provides support for the vibration analysis of transmission device and the research and development of planet transmission mechanism.
Analysis and Verification of the “Translation-Torsion” Model of Planetary Transmission Mechanism
Authors: Zhang Qiang , Li Shenlong , Zhang Yudong , Xing Qingkun
Published: April 2020

The planetary transmission mechanism is the core component for achieving the motility of high-speed tracked vehicles. The internal excitation results in severe vibration and low operating life of high-speed planetary transmission mechanism. However, due to the complex multiple planetary gear sets coupling, the mechanism of the internal excitation on the planetary gear is still unclear. In this paper, the “translation-torsion” coupling dynamic model of multi-set planetary transmission mechanism is established, and the influence of internal excitation on the vibration characteristics of the planetary transmission mechanism is analyzed. The dynamic model is verified by the DTE (dynamic transmission error) and the input-output transfer torque relationship. The results show that the meshing frequency of each planet gear set is consistent with the spectrogram, verifying the accuracy of the model, and studying the DTE and the input speed of the planetary transmission mechanism. The results show that when the planetary transmission mechanism is in the 2nd gear, when the input speed exceeds 1000 rpm, the fluctuation of the rotational speed has little effect on the DTE, and the fluctuation of the input torque has a linear growth trend on the DTE.
Evaluation of roadway water hazard level based on extension connetion cloud model
Authors: Song Jie , Liu Shang , Bi Yufeng , Wang Chao , Zhong Guoqiang
Published: April 2020

Accurately assessment of water hazard level in coal mine can improve the water hazard prevention and control in coal mine and reduce the occurrence of water inrush disaster. Based on the theoretical and practical study of coal mine water disaster accidents, a water disaster assessment index system was established. The transformation between qualitative and quantitative indicators was realized by the matter-element extension theory and the cloud model, the state value of the index and the corresponding risk grade membership value were determined by the connection cloud model, and the method of game theory was used to value the comprehensive weight of evaluation index to reduce the randomness and subjectivity in the determination of weight. Based on the principle of distance similarity, the evolution trend of risk can was estimated to strengthen the early warning of trend risk. The application in Feicheng mining area showed that the extension connection cloud model evaluation is appropriate to the evaluation of coal mine water hazard, and the quantitative characterization of water hazard risk is of great significance to guide coal production to be safe.
UAV Remote Sensing Method for Extracting Feature Points of Aerial Photos After Fast Geolocation
Authors: Wang Zhiwei , Zhang Wen , Zhong Li , Song Xuelian , Ruan Xirui
Published: April 2020

With the rapid development of 3S and drone technology, the size of existing aerial data is getting larger and larger. Therefore, there is an urgent need for a method for quickly geo-locating feature points of aerial photographs. This article aims at the above situation through the following 5 steps to achieve: modify the name of aerial photos, unified aerial photos in a separate folder, extract aerial photo center latitude and longitude information, match aerial photos to the location of longitude and latitude information and identify the type of feature and mark. Finally, it was found that after positioning using the above steps of this method, subsequent operations will save more than 70% of the time.
Design of the Suspended Cleaning equipment for Pigsties
Authors: Tao Jie , Shi Juncheng , Shao Jinfa
Published: April 2020

In view of the traditional pig captivity mode and the characteristics of the pigsty, this paper Analyzed the task of pigsty cleaning work, and designed a cleaning equipment with the suspension mechanism and the cleaning mechanism to meet the cleaning task, without changing the existing enclosure facilities. The rope transmission and the adsorption electromagnet are used to Switch cleaning steps.
The Development Status of Ningbo Zhoushan Port’s Logistics and Its Development Countermeasure
Authors: Huang Shiqi
Published: April 2020

The development level of port logistics partly reflects the comprehensive competitiveness of the port. Based on the latest development data of Ningbo Zhoushan port, combined with literature research, this paper analyses the development status of Ningbo Zhoushan port in terms of infrastructure construction, port collection and distribution network, information application, comprehensive logistics service scope and policy environment. In view of the limitation of developing port logistics in Ningbo Zhoushan port, this paper puts forward some countermeasures, such as optimizing the structure of port collection and distribution, speeding up the construction of port logistics information, optimizing the development system of port regional logistics, to furtherly improve the development level of port logistics in Ningbo Zhoushan port.
Vitalization of rural areas and environmental management
Authors: Tan Yong
Published: April 2020

The 19th National Congress of the Communist Party of China (CPC) innovatively put forward the rural revitalization strategy, which provided a new way of thinking for fundamentally solving the problems of “agriculture, rural areas and farmers”. Accelerating rural environmental management and building beautiful countryside is an important and key part of rural revitalization. In recent years, with the acceleration of industrialization and urbanization, the rural environment has deteriorated. It is urgent to correctly understand the current situation of rural environment, analyze the existing problems and find reasonable countermeasures.
Design and Implementation of PLC Traffic Signal Intelligent Control System
Authors: Gao Jianhua , Yang Yong , Zhong Xiaolei
Published: April 2020

Intelligent traffic signal system plays an indispensable role in the current intelligent system of urban transportation, and it plays a vital role in urban development and economic construction. PLC (Programmable Logic Controller) is a general-purpose industrial control device widely used in the design of automatic control systems for industrial automation and mechanical production. With its various functions, low price and easy to use, PLC has become more and more important in industrial production. This paper will design an intelligent traffic signal system based on PLC that can handle complex traffic conditions at intersections.
The Evolution and Thinking of Environmental Science in the Direction of Scientific History
Authors: Li Yuan
Published: April 2020

The education of scientific history can not only cultivate scientific spirit, critical spirit, innovative spirit and thinking method, but also cultivate sense of responsibility, compassion and initiative, and improve the understanding of non-logical thinking method and the feeling of aesthetic outlook on life. The education of scientific history of environmental science is an important channel to improve the comprehensive quality of students in the direction of environment. It is an important direction of the reform of environmental science education to raise awareness and carry out various forms of education activities of scientific history.
Research on Complex Electromagnetic Environment Simulation System
Authors: Bo XiangLei , Liu Fen
Published: April 2020

With the battlefield electromagnetic environment become more complex, these also weaken operational effectiveness of information technology equipment. Therefore, to seize the electromagnetic superiority become the key of the war in the information control and then take the initiative. In view of the complicated electromagnetic environment simulation, this paper studies the hardware and software of complex electromagnetic environment simulation system. The system has the function of electromagnetic signal parameters editor, multi-domain real-time monitoring function, parameter real-time control function, test evaluation function, the target database management function and system configuration function. To improve the ability of combat troops in complex electromagnetic environment is of great significance.
Components identification in some hospital wastewater during traditional treatment process
Authors: Zhang Jianlin , Zhuang Tao , Liu Shanjun , Gong Yanli
Published: April 2020

The trace medicine metabolites in some hospital wastewater during treatment process were determined and charactered by gas chromatography - mass spectrometry. Analysis results identified the present of various polycyclic and heterocyclic refractory compounds in the hospital wastewater. This study indicated the medicine metabolites could not be effectively removed by the traditional treatment process, and it was irradiative for the technology improvement in the wastewater treatment plants receiving hospital effluents.
Application of Green Building in Landscape Planning of Characteristic Towns
Authors: Luo Lintao , Fang Wei , Wang Xinya , Quan Ran
Published: April 2020

The positive significance of applying green buildings in town landscape planning and design to the development of small towns is discussed. Firstly, the overall classification and functions of small towns with Chinese characteristics are summarized, and the basic principles of its construction are clarified. Secondly, the related theories of green building are introduced, and the application characteristics and ways of green building in landscape design are expounded. It is found that the landscape design of characteristic towns should be based on the unique local ecological environment, material and facility conditions, and make a reasonable analysis from the perspective of topography and terrain, respect people’s experience and feelings, fully consider users’ physiological, psychological and emotional needs, and create a humanized landscape environment. In addition, people should not blindly pursue economic benefits. It is necessary to make use of recyclable building materials as far as possible on the basis of energy saving and environmental protection, so that economic development and ecological environment can coexist harmoniously.
Research on Optimization Configuration of Taxi Resources Based on Matching Model
Authors: Wang Nanxuan , Zhang Wentao , Weng Shuqing
Published: April 2020

“Difficulty in taxiing” has always been a concern of the society in recent years. This paper discusses the current situation of resource allocation of taxis and the impact of taxi company subsidy programs on the difficulty of taxiing, and then introduces a better subsidy program. We first collected data based on the Drip, fast intelligent travel platform, plotted the image, calculated the average of the taxi distribution and passenger demand at each time point, and carried out tracing and analysis. On this basis, the matching model is established: the idea of nearest neighbor” is introduced, and the time points that are difficult to get a taxi are concentrated at 8-10 am, 16 pm, and 19 pm. Then analyze the subsidy program data, taxi drivers and passengers after using the taxi software, taxi vacancy rate, passenger waiting time and changes in the economic benefits of taxi drivers and passengers, etc., after analysis, we found the existence of subsidy programs can fully mobilize the enthusiasm of drivers and passengers to use the software, so that the number of people using the software continues to increase, which not only shortens the waiting time for passengers to take a taxi, but also reduces the driver’s vacancy rate, so it can effectively alleviate the problem of difficult driving.
Design and Simulation of A Dual-Frequency Multi-Mode Vortex Microstrip Array Antenna
Authors: Mao Pengrong , Gao Canguan
Published: April 2020

In order to improve the communication capacity and spectrum utilization, a design scheme of dual-frequency and multi-mode vortex microstrip array antenna is proposed. This antenna is composed of 8 rectangular microstrip patches, and 8 elements with the same structure are distributed at equal intervals on a concentric circle. The optimal structure of the antenna is determined by modeling 3D electromagnetic field simulation software and optimizing patch size. Simulation results show that the antenna has good impedance matching at the resonance point of 1.9 GHz and 2.45 GHz. When different phase excitation is applied to each element, the antenna produces seven effective vortex electromagnetic waves with different modes.
Development of Flowmeter with IoT Function
Authors: He Wang , Yi Jianjun , Ma Yue , Zhang Wenlong , Chen Shidong , Min Jinyang , Yan Sunchao , Chen Bin , He Liang
Published: April 2020

Turbine flowmeters are now widely used as sensors in existing flow monitoring scenarios, but their traditional induction coils are susceptible to electromagnetic interference. The process of configuring, calibrating, etc. is complicated. And the interface of existing flowmeter is relatively single. Regarding these issues above, this paper develops a new type of turbine flowmeter with Internet functions replaces the traditional induction coil with AMR components, designs its preamplifier module, develops the microprocessor software functions for the secondary instrument, integrates a variety of industrial wired/wireless flexible communication interfaces in the flowmeter secondary instrument, and uses ZigBee technology to perform node networking, ID setting and routing to construct the IoT architecture of flowmeter. This intelligent flowmeter sensor can be applied to the fields of chemical industry, metallurgy and so on, which can greatly help solve the problems of current flowmeter configuration and network access difficulties, meeting the urgent needs of intelligent manufacturing.
Research and application of Netty based condition monitoring system for forage harvesting machine
Authors: Han Shaoyun , Pang Zaixi , Wang Lili , Wang Fengzhu , Li Yashuo , Mao Wenhua
Published: April 2020

In order to realize intelligent monitoring of main components of forage harvesting machine, an intelligent remote monitoring system based on CAN bus technology, Socket communication protocol based on Netty framework and cloud server was designed to solve the problem of low level of informatization of forage harvesting machine in China. system includes data acquisition system, data wireless transmission module and cloud data storage and analysis and processing system, realizing the data synchronization and sharing of working condition information of forage harvesting machine at local, cloud and mobile terminals. We developed the on-board terminal system based on Labview platform, and the web server based on SpringBoot framework. The parameters obtained by the sensor mainly include vehicle position information, engine speed and torque, shredding roller, grain crushing roller, cutting table, feeding, throwing, motor and other core components. Field experiments for 15 consecutive days show that: cloud server system with custom Socket communication protocol receives and stores terminal data in real time; The monitoring platform can realize the functions of data display and curve display of working condition information, data analysis and intelligent information reminder. By analyzing the data curve of the main components, the stability and reliability of the system are verified, which is of great significance to the informationization and intelligent development of the machinery and equipment of the forage harvesting machine.
A Push Model of Advertisement Classification Matching Based on Machine Learning
Authors: Sun Yan , Wu Qian , Li Wendi
Published: April 2020

With the leap-forward development of Internet technology, it is more effective for marketing to meet personalized needs based on massive data. In this paper, through the screening of advertisements and user feature vectors, combining factor decomposition machine and neural network, a multi-label model is built, and through training data, a static “advertisement-user” classification matching push model is obtained. On the basis of the static model, three sub-models are respectively established for comprehensive evaluation to realize the “user-advertisement” household matching push. At the same time, the recommendation model is updated in real time to establish the “channel user-video advertisement” classification matching push update model, and the static model is dynamic to build the classification matching push model. Combined with data set verification, it is concluded that the model is true and effective and can realize personalized recommendation.
Fatigue behavior of 3-D orthogonal woven composite with silane modification
Authors: Zhang Yi , Gao Xiaoping , Tao Nannan
Published: April 2020

As key part in wind turbine, the blade is a vital component for energy transformation. Fiber reinforced composite has advantage of light weight, large specific strength and specific stiffness, which has been used in wind turbine blade. In order to avoid delamination of conventional laminate and debonding between fiber and epoxy, the silane modification composite specimen reinforced with 3-D orthogonal woven fabric/epoxy was prepared using vacuum assisted resin transfer molding (VARTM) for blade. As for fatigue experiment, the critical stress levels corresponding to micro-crack initiation and failure of composite were obtained by combining of acoustic emission technology and quasi-bending experiment. The fatigue behavior of 3-D orthogonal woven composite with silane modification was experimental evaluated based on the minimum and maximum stress levels. The fatigue behavior, such as S-N curve, stress-strain behavior and stiffness degradation behavior were analyzed. The result will provide the basis for investigation of bending behavior with nondestructive tests and set of stress level in bending fatigue experiment.
Optical and electrical properties of refined carbon derived from industrial tea waste
Authors: Akgül Gökçen , Bıçakçı Saliha Nur
Published: April 2020

The utilization of nano- and well-ordered carbon materials such as graphene especially in carbon-based electrical devices and in energy storage areas is becoming important in terms of developing economical methods and reducing the dimensions of the electrical devices. These applied carbon materials are mostly originated from fossil sources which are diminishing. Hence, renewable carbon resources are gaining importance. Biomass is the single renewable carbon resource and can be refined to highly ordered carbon materials such as graphene by top to down methods. In this work, industrial tea waste biomass was converted to carbonized material by pyrolysis and refined by some further chemical treatments towards the ordered structured carbon. The newly derived refined carbon material was characterized by Raman, TGA, FTIR, SEM and XRD methods, and its optical and electrical properties were determined. The experimental results showed that the band gap energies of refined carbon derived from tea waste and reduced graphene oxide prepared in this study are in the similar level as 2.375 and 2.264 eV, respectively. Furthermore, the electrical conductivities are at the same stage as 3.16 and 3.28 × 10−4(1/Ω·cm) for reduced graphene oxide and refined carbon. The optically active and electrical conductive refined carbon material from biomass could be a proper carbon in energy related applications in terms of renewable and sustainable processing.
Self-assembled monolayer formation of pentamers-like molecules onto FCC(111) surfaces: the case of curcuminoids onto Au(111) surface
Authors: Cisternas E , dos Santos G J , Flores M , Vogel E E , Ramirez-Pastor A J
Published: April 2020

The adsorption of rigid straight electrically polarized pentamers over a FCC(111) surface is studied. The model was inspired by the deposition of 2-thiophene molecules over the Au(111) surface, which was previously characterized by experimental techniques and simulated under the frame of the density functional theory. We now obtain and report the charge distribution of the molecule which allows to propose a deposition model followed by Monte Carlo simulations over an ad-hoc lattice gas model. We show that for a certain value of the chemical potential there exists an isotropic-nematic phase transition which can explain the formation of a self-assembled monolayer like the one observed in the transmission electron microscopy images. An order parameter is defined to characterize the transition which presents a step-like behavior at a critical chemical potential value. The possible nature of the nematic transition in conjunction with an ergodicity breakdown is discussed as future work by means of statistical physics techniques.