bluuebunny/crossref_metadata_2025 huggingface dataset:
Possibility of applying X-ray methods to control the surface quality of a shaft line after finishing
Authors: Syusyuka E N
Published: November 2021

The purpose of the paper is to analyze the application limits of X-ray methods of non-destructive testing of loaded parts; to compare the results of microstresses and deformations of the details’ surface layer by methods and by the method of X-ray diffraction analysis for various modes of processing the detail surface layer. The studies are carried out on a “Dron” diffractometer. The technique and algorithm of X-ray structural studies, namely, “sin2v|/”-method are represented. Residual macro σφ and micro stresses, as well as the sizes of the areas of coherent scattering (D) on the samples surfaces processed in various modes, and their distribution in the near-surface layer are designated. Phase analysis is conducted and the presence of residual austenite. The research object is the operating surface of the 46-19-186 gear tooth after various treatments: after HFC hardening; after HFC hardening, grinding and blasting in depressions; after HFC hardening and fine-finish cutting. The X-ray structural analysis (XRD) technique is presented to determine the residual macro-σφ and microstresses, the sizes of the coherent scattering regions (D) on the surfaces of the samples processed in different modes. The outcomes of X-ray structural analysis are compared with the outcomes of metallographic studiesmaking. It was determined that the stress relaxation during the manufacture of the sample is no more than 10%, and the total instrumental error of the X-ray spectral analysis method is about 1%.
Simulation of drive power in mechatronic systems
Authors: Biryukov V V , Fedorova Yu A , Rozhkova M V
Published: November 2021

The results of research on determining the parameters and circuit solutions of traction drives of funicular cars are presented in this paper. As a result of the research, it has been revealed that the funiculars, the bodies of which have an articulated joint, possess the greatest advantages. It is effectually to use three-phase AC machines with permanent magnets as traction electric motors. The mechanical part of the drive must contain a speed transformer with a gear rack-wheel type gearing. The wheels of the running gears perform the function of holding the car on the track structure. The traction force is performed in a gearing, the rack of which is placed between the rails of the track structure. The given method for calculating the power of the drive motor made it possible without question to determine its dependence on the angle of inclination of the railroad bed.
Computational model of a micropolar lubricant with a non-standard support profile and a metal coating at incomplete filling of the working gap
Authors: Vernigora G D , Kruchinina E V , Mukutadze M A
Published: November 2021

The authors propose an asymptotic and exact self-similar solution for zero (without considering the melt) and the first (considering the melt) approximation of a wedge-shaped sliding support with a profile adapted to friction and a fusible metal coating of the guide surface. The solution is based on the equation of a micropolar liquid flow for a “thin layer”, the continuity equation, as well as the equation describing the profile of the molten contour of a guide coated with a fusible metal alloy. The authors have taken into account the formula of the rate of mechanical energy dissipation as well as rheological properties of the lubricant and the melt, which have micropolar properties in the laminar flow mode at incomplete filling of the working gap. Analytical dependences have been obtained for the profile of the molten surface of the guide coated with a low-melting metal alloy, as well as for the velocity and pressure fields at zero and first approximation. In addition, the main operating characteristics of the friction pair under consideration have been determined: the bearing capacity and the friction force. The article contains estimation of the influence of the parameters conditioned by coating melt and adapted to the friction conditions of the support profile, and the parameter characterizing the rheological properties of the lubricant, as well as the length of the loaded area in terms of bearing capacity and friction force.
Algorithm for the cams synthesis for the slay mechanism drive
Authors: Podgornyj Yu I , Yu Skeeba V , Kirillov A V , Maksimchuk O V , Lobanov D V , Martyushev N V
Published: November 2021

The paper presents an algorithm for the synthesis of the law of motion of the weft beat-up mechanism intended for the production of closely woven fabrics, which are currently manufactured mainly on shuttle looms. These machines have such disadvantages as significant dimensions, strong vibrations and noise during operation, as well as low performance. Shuttleless looms are devoid of such disadvantages. However, production of closely woven fabrics on such machines can face a number of problems, such as increased vibration, the machine tool turning off due to an increased beating-up strip and accelerated wear of mechanisms which, in turn, leads to a lower productivity and product quality. The conducted research allowed developing an algorithm for the synthesis of complex-profile cams of the slay mechanism drive. The use of the developed mechanism is theoretically proved and experimentally confirmed to provide the required performance and quality as well as to significantly expand the range of fabrics produced on STB shuttleless looms.
Human-machine system as a control shell in the implementation of mooring operations
Authors: Kondratyev S I , Boran-Keshishyan A L , Slitsan A E , Popov V V
Published: November 2021

Mooring is a complex and responsible process for a boat master, so modern trends determine the need to create automated and automatic systems for mooring vessels to minimize the human factor. The study researched the vessel ergatic control complex and the towing group with the use of mathematical apparatus in the implementation of mooring operations. The human-machine or “ergatic” system is the control shell under the active influences of the bridge complexes and is an auxiliary tool for the watchman on the navigation bridge. This is the essence – a human, as a controlling and observing link, is an integral part of the human-machine complex. Automation, even in systems with artificial intelligence, will not soon replace the flexibility of the human brain, despite possible and sometimes very serious human mistakes. Taking into account the fact that the automated mooring system applies all kinds of monitoring sensors to prevent docking impact, the control and responsibility for the mooring process still lie with the navigator operator.
Modular design of diesel-electric tracked tractor with high degree of automation
Authors: Solovyev R , Kolomeichenko A , Cheranev S , Gerasimov M , Gribov I
Published: November 2021

The prospective diesel-electric tracked tractor shall have a modular design, integrating the power frame, auxiliary systems, and control system. The tractor will have the following basic modules: a track module comprising an electric motor, gearbox, brake system, electric motor power casing; a diesel generator module consisting of an internal combustion engine of the power corresponding to the tractor’s traction class and a power generator. The article substantiates the need for a diesel-electric tracked tractor with a high degree of automation and unmanned control capability, which will be in demand in modern Digital Agriculture. The stages of technological change in global agriculture are presented. The paper outlines the advantages of tracklaying system and electromechanical transmission; functional diagram and target indicators of some technical characteristics of a diesel-electric tracked tractor with the electromechanical transmission; capabilities and functions of information and control digital, intelligent systems that are to be implemented in a diesel-electric tracked tractor for digital agriculture production.
Practical confirmation of mechanical balancers effectiveness to reduce vibration of marine main diesel engines
Authors: Bashkatov VA , Khudyakov SA , Ignatenko AV
Published: November 2021

The article discusses compensators of unbalanced moments from inertial forces of the second and variable components of the overturning moment of the main order and the elastic moment at the resonance of torsional vibrations of the shaft line of modern marine low-speed diesel engines. The efficiency of the diesel engine’s operation is analyzed based on the vibration measurements on ships and some problems caused by these devices.
Mathematical modeling of the axial-piston pump power regulator
Authors: Zedgenizov V G , Kokourov D V , Biryukov D S
Published: November 2021

A mathematical model of the regulator was developed; a scheme for its solution in the Matlab-Simulink environment was suggested; dependencies of the spool movement (x1), piston (x2), transition time (t) and other parameters on the pressure in the pressure line (p) have been determined. The mathematical model of the regulator establishes the effect of pressure on control process parameters. When the pressure increases from 30 to 45 MPa, the regulator spool moves at a distance varying from 0.4 - 2.8 mm. The spool movement is proportional to the pressure. The piston movement is more sensitive to the change in pressure. It changes within the range of 3–19 mm, while the relationship is non-linear. The cylidner pressure and the ratio of rocker arms are proportional to the pressure and increases 1.5 times; the transition time is expressed by a non-linear dependence and decreases two-fold.
Computational studies of the influence of variable valve timing on the performance of a gas engine with Miller’s thermodynamic cycle
Authors: Milov K V
Published: November 2021

Current development trends in the field of internal combustion engines aim at regulating all processes of the engine and individual units. A converted diesel to gas engine with Miller thermodynamic cycle is more energy efficient at partial loads than a gas engine with Otto thermodynamic cycle. The Miller cycle engine with variable valve timing and valve lift has been investigated to improve performance and energy efficiency across the load range. The aim of the work is to study the influence of the displacement of the valve timing phases of the intake and exhaust camshafts and the valve lift height on the performance of the gas engine with the Miller cycle. Computer modelling was based on data obtained from the full-scale experiment on the gas engine with the Miller thermodynamic cycle.
Algorithm for determining the unbalances of continuous mixers rotors
Authors: Podgornyj Yu I , Martynova T G , Yu Skeeba V , Lobanov D V , Martyushev N V
Published: November 2021

The paper presents a design model of a continuous mixer, which employs working shafts with kneading and scraping blades as the equivalent rotors. The rotors are represented in the orthogonal system x, y, z. An algorithm for reducing a three-dimensional system to flat ones using three-dimensional simulation is proposed to simplify further calculations. The inertia and the mass moments of the rotors’ structural elements were determined for the specific parameters of the parts obtained by blanks casting taking into account the accuracy classes. The conducted research allowed developing recommendations for choosing rational methods for manufacturing parts of continuous mixers and optimal parameters for the operation of the mixer.
Estimation of the accuracy of fuel consumption measurement based on data from the on-board CAN-bus
Authors: Toropov E I , Trusov Y P , Vashurin A S , Moshkov P S
Published: November 2021

The legal requirements for vehicle exhaust emissions are becoming increasingly stringent. Emissions are directly related to fuel consumption. Therefore, reducing fuel consumption is a very urgent task. To solve this problem, it is necessary to assess the influence of various factors on the actual fuel consumption. To determine the fuel consumption, there are a large number of different methods using external flow meters installed in the fuel line, installing additional level sensors in the fuel tank. A very simple and convenient method is based on the use of information from the electronic engine control unit. This method requires minimal financial investment and does not require significant structural changes. The question arises about the measurement accuracy according to this method, since the ECU calculates the fuel consumption according to a mathematical model, calibrated and programmed at the factory. To assess the accuracy of this method, a set of tests was carried out. The tests were performed at constant vehicle speed and according to the standard driving cycle. During the tests, the fuel consumption was recorded using a high-precision calibrated flow meter installed in the fuel line and on the basis of data from the engine ECU. Based on the test results, a conclusion was made about the size of the discrepancy in the methods for determining the fuel consumption.
System for determining the parameters of a sea vessel by analyzing a photo image
Authors: Studenikin D E , Kuku E A
Published: November 2021

In this paper, a method is considered for determining the parameters of a sea vessel, such as its spatial orientation and the distance from the observation point to this vessel from a photographic image to facilitate the task of identifying vessels at night. A measuring system for practical implementation is proposed, consisting of an optical segment, a segment for determining the angle of the vessel by the image, a segment for determining the distance to the object, and a segment for accumulating and filtering data. An algorithm for extracting the parameters of ship lights from a photographic image, their analysis, and the calculation of the quantities required for classification are described. The effectiveness of various classifier architectures for determining the angle of the vessel was experimentally tested, among which the SVM architecture was the most effective. A method for compiling a “depth map” for a static image based on the data of real distances to objects in the daylight image and the coordinates of the corresponding pixels in the same image is described. The method of backpropagation of the error is used for the obtained distances in the corresponding segment of the system based on the existence of the position-distance mapping. The model of the “depth map” constructed based on these data made it possible to obtain a sufficient distance to the object from the photograph.
Assessment of the quality of control of the ship “crosshair” under wind load conditions
Authors: Yudin Yu I , Petrov S O
Published: November 2021

There are few ports in the Far North. Therefore, it is not difficult to assume that most of the cargo operations in the future will be implemented in the open part of the sea space of the Arctic regions. In this regard, the safe maneuvering of a tanker at the offshore oil terminal when carrying out cargo operations with hydrocarbon raw materials is one of the most important and urgent tasks. When performing this type of operation, the main threat to environmental safety is a rupture of the cargo line hose and damage to the underwater pipeline due to the tanker piling up on the oil terminal. Therefore, the improvement of the methods of controlling the movement of the tanker during its positioning at the oil terminal in the process of carrying out the operation of loading oil is significant. Improving tanker control technologies can contribute to improving the quality of control, reducing the likelihood of emergencies, and, as a result, increasing the safety of cargo operations when transshipping oil products in the open sea.
Numerical method for solving problems of dynamics of marine complexes and ship auxiliary mechanism
Authors: Osmukha S A
Published: November 2021

The article describes the study of methods of hydrodynamic coefficients using finite volumes, as well as numerical methods based on the study of data from the air tube experiment.The methods of converting the data of air tube experiments when working out the elements of the fixed assets of the fleet in the bases of orthogonal functions (bursts) were investigated and described. The study is based on the obtained mathematical models of processes using the methods of multi-turn engineering design, methods for constructing computer models in a structure that provides for an open process of developing and approving proposed project elements.An urgent task is to develop methods for reducing costs associated with the design and creation of marine infrastructure facilities and fixed working capital. The relevance of the tasks follows from the expensive cycles of project development, the labor costs of highly qualified specialists.
Automated system for diagnosing the structural failures of the unmanned vessel
Authors: Zaslonov V V
Published: November 2021

The studies show that individual elements of a vessel component that are subjected to variable-repeated loads may be destroyed even at lower voltages than any other calculated component (unit). This problem is particularly important for the dynamically developing direction of unmanned navigation, which operation may be carried out with a reduced crew, in its absence – both remotely and autonomously. Conditions of cyclic variable loads in corrosive media also play an important role with a total number of operation cycles, which may reach many millions over the entire operation period. It should be noted that the statistics show that about 80% of accidents in maritime transport are caused by fatigue effects. This paper is devoted to the development of software that is able to predict fatigue failure of units and structures. The paper also descriunmanned vessel the application within an unmanned vessel, as well as the use of described mathematical algorithm in a device with the possibility of projection of augmented reality on vessel units for further prediction. The described method of predicting the strength and simplifying the service is relevant when remote security controls are required.
The method for automatic control of a ship with directional instability
Authors: Kondratyev AI , Burylin I V , Mamaev KP , Skorokhodov S V
Published: November 2021

A method for creating an automatic control system for a ship with directional instability has been developed. As part of the tests of a small-sized unmanned vessel, a control diagram was built. It showed that the vessel is unstable along its route. It became necessary to add a control channel for the angular acceleration of the vessel to the main channels of the PID regulator. The PID-U regulator has a significant advantage in controlling an unstable vessel on the route over a standard PID regulator due to the channel of angular acceleration; the regulator monitors the angular speed and compensates it with control actions. The disadvantage of the method is difficulties in finding the angular acceleration of the vessel, since, gyroscopic sensors installed on vessels provide data only on the route and angular speed. Simple integration of the angular speed to determine the acceleration can result in errors, especially in wind-wave conditions. The mathematical observer based on the Kalman filter can be used. The results of operation modeling forthis regulator are described.
Assessment of working conditions and informational loads on car drivers
Authors: Denisov E I , Stepanyan I V , Khussein Abobakr Mohamed A , Vuitsik P A , Melnik M S
Published: November 2021

The article provides an overview of risk factors that are caused by the working conditions of car drivers and provides an example of a methodology for assessing visual loads that were measured using a digital video recorder. To assess real visual loads on a car driver, a method for simultaneous recording of information of visual load and heart rate has been developed and tested. The proposed method made it possible to establish a correlation between the dynamics of the flow of visual traffic information and the response of the driver’s body in the form of response changes in the pulse. The effectiveness of the method was shown and the correlation of video fragments and pulsograms with R = 0.4 was established. The results of the work are applicable to assess the working conditions of car drivers, when visual stress is a leading factor in working conditions, in order to prevent fatigue and road traffic accidents.
Algorithm for constructing a route to pass a narrow fairway
Authors: Antonov A A , Studenikin D E , Malakhov S O , Filatova R G , Kondratyev S I , Khekert E V
Published: November 2021

Modern navigation systems often employ the algorithms for plotting lines for the preliminary route construction. The current conditions of technological development imply the simplicity of constructing routes. However, the most important part was and remains the speed of the system that generates the route. The authors of the paper proposed a universal algorithm for constructing a navigation route in narrow channels of the sea. The presented algorithm identifies the middle of the fairway as the safest point at each narrow segment and connects them with track lines. The problem that can arise is smoothing, as the middle of the fairway can shift significantly. To solve this problem, new relative and absolute parameters that characterize plotting of turning points were introduced. In addition, a unified universal formula was proposed for finding the coordinates of these points on a line perpendicular to the current route of the vessel. It was experimentally proved that correctly selected empirical parameters enable the algorithm to quickly construct a route in any navigation area with a relatively low computational complexity. This approach is appropriate for clearly delineated zones of the fairway, and it is compatible with zone methods.
Development of calculation procedure for research and refinement of suspended design natural frequencies by example of vehicle exhaust system
Authors: Rakhmatov R I , Krutolapov V E , Nadareishvili G G , Malkin I V
Published: November 2021

The article presents a finite element model exhaust system developed in the ANSA software package. Experimental research of the dynamic characteristics mounts exhaust system. and developed calculation procedure for improvement of the suspended design natural frequencies based on the experimental definition of boundary conditions by the example of the vehicle exhaust system. Requirements for natural frequencies of the exhaust system are developed; finite element models of the exhaust system are developed; physical and mechanical characteristics of mounts are defined; natural frequencies and oscillation modes of the exhaust system taking into account physical and mechanical characteristics of mounts are calculated.
Impact of the Internet of Things on the formation of a model for optimizing port terminal operations
Authors: Botnaryuk M V , Kalinina S A
Published: November 2021

The research established that new business conditions have radically changed relations between the participants in the transport process. The Coronavirus Disease Pandemic (COVID-19) has revealed the lag of most maritime enterprises in the digitalization process. The problems of interaction and competitions caused by the transformation of stereotypes of behavior of transport services consumers have become more acute. The need for new approaches to optimizing port terminal operations has determined the purpose of the research. The problem is multifold, that is why the article analyzes statistics; a survey of top managers of companies providing port services was conducted. The key requirements of customers are the speed of service, organization of terminal operation on the concept of the Internet of Things, digital competence of company employees that affects the speed and quality of services.In order to optimize terminal operations, the authors suggest applying a mathematical model providing the competent planning of terminal operations with a given probability of customer service. The authors suggest increasing the cooperation between employers and educational institutions in the development of digital competence in students and application of the Internet of Things in the Maritime Industry.
Development and Application of Coal Mine Geological Drawing System Based on GIS Technology
Authors: Lin Liujun
Published: November 2021

Resource exploitation and competition have always been one of the most important topics in the world. Because the possession and exploitation of resources is directly related to the supply of social environment, we need to use various technologies to detect the resources owned by various environments in the country to make a reasonable allocation. In our country, the most commonly used technology should be GIS technology. Similarly, with the development of the past and times, the reserves of coal have begun to decrease, and the utilization of new energy has not been fully popularized, so the purpose of this paper is based on GIS technology to study the manufacture of geological drawing systems in coal mines, and to develop and apply them. After exploring the discovered coal, mine topographic map and the structure of the coal mine and its possible location, we can carry out systematic development and application through GIS by consulting the relevant literature of the geological map of the former coal mine and the development of GIS technology. Finally, its effect is verified by conducting another field survey of the discovered places. The experimental results show that the coal mine geological drawing system based on GIS technology can be more beneficial to our discovery and survey, which is 20% higher than the previous detection efficiency and 40% higher than the drawing accuracy.
Computer Data Storage and Management Platform Based on Big Data
Authors: Luo Cheng
Published: November 2021

Due to the continuous development of information technology, data has increasingly become the core of the daily operation of enterprises and institutions, the main basis for decision-making development. At the same time, due to the development of network, the storage and management of computer data has attracted more and more attention. Aiming at the common problems of computer data storage and management in practical work, this paper analyzes the object and content of data management, investigates the situation of computer data storage and management in China in recent two years, and interviews and tests the data of programming in this design platform. At the same time, in view of the related problems, the research results are applied to practice. On the basis of big data, the storage and management platform is designed. The research and design adopts a special B+ tree node linear structure of CIRC tree, and the linear node structure is changed into a ring structure, which greatly reduces the number of data persistence instructions and the performance overhead. The results show that compared with the most advanced B+ tree design for nonvolatile memory, crab tree has 3.1 times and 2.5 times performance improvement in reading and writing, respectively. Compared with the previous NV tree designed for nonvolatile memory, it has a performance improvement of 1.5 times, and a performance improvement of 8.4 times compared with the latest fast-fair. In the later stage, the expansion of the platform functions is conducive to the analysis and construction of data related storage and management functions, and further improve the ability of data management.
Facial Micro-expression Recognition Algorithm Based on Big Data
Authors: Xia Qun , Ding Xiaofeng
Published: November 2021

The 21st century is the era of big data. All aspects of society, from facial expressions to national defense and military, will generate massive amounts of data. Facial expression recognition technology, as a new technology spawned in the era of big data, has broad applications The prospects are widely used in intelligent transportation, assisted medical care, distance education, interactive games and public safety. In recent years, it has attracted more scholars’ attention and has become another research hotspot in the field of computer vision and machine learning. The purpose of this article is to study the facial micro-expression recognition algorithm based on big data. This time, big data technology is used to analyze the algorithm. Big data can better solve the small changes in face recognition and complex data processing. This paper firstly summarizes the basic theory of big data, derives the core technology of big data, and analyzes its shortcomings and shortcomings based on the current research status of facial micro-expression in my country, and finally discusses the big data based on big data. Research on facial micro-expression recognition algorithm under the following. This article takes the research situation of the face micro-expression recognition by related companies as the survey object, and analyzes it through the literature data method, questionnaire survey method, mathematical statistics method and other research methods. Experimental results show that the lower the dimensionality reduction, the less classification time is used. When the dimensionality reduction is 45 dimensions, the recognition rate of facial expressions is the highest.
Construction of Space Quantum Information System Based on Satellite Recognition
Authors: Tao Lingping
Published: November 2021

Satellite identification is a form of space quantum information, which refers to the use of artificial earth satellites as the transmitting station between earth communication stations to perform satellite identification to construct a space quantum information system. However, at this stage, a single form of identification cannot meet the needs of various aspects such as the development of the information society. And mobile broadband services. Based on this, this paper has carried out research on the construction of space quantum information system based on satellite recognition. This paper firstly introduces the research significance of space quantum information transmission based on satellite identification, and then analyzes the research status of space information system based on satellite identification and the research status of space quantum information system based on satellite identification at home and abroad. Aiming at the problem of asymmetrical transmission of space information, this paper proposes, a spatial asymmetric transmission scheme based on layered modulation and network coding, and in view of the low communication quality caused by the influence of weather and surrounding environment on the space-based communication channel, this paper proposes an adaptive transmission scheme of spatial information based on satellite cooperation. The survey results show that under the MNC strategy and the traditional zero-padded strategy, the end-to-end bit error rate performance of S2 is not much different. As the signal-to-noise ratio continues to increase to 30dB, the two are basically the same. In the whole range of k value, the access probability of the MNC strategy is equal to a constant 0.67 and remains unchanged. When k=1, under the OUS scheme, it shows that the two source nodes have the same probability of accessing the channel, and the access probability is 50%, which is 16.7% lower than that of the MNC scheme.
Implementation of Parallel Algorithm Technology for Time Series Data Mining
Authors: Wang Wei , Hu Xiaohui , Wang Mingye , Du Yao
Published: November 2021

With the rapid development of computer technology, Internet technology and artificial intelligence technology, the amount of global data has exploded. However, the single-machine serial mode of traditional data mining cannot be directly transplanted to the cloud platform. Only by parallelizing and improving many classic data mining algorithms can the cloud computing platform and data mining be effectively combined. Therefore, it is of great significance to the research and implementation of parallel algorithm technology for time series data mining. The purpose of this paper is to study the research and implementation of parallel algorithm technology for time series data mining. This paper adopts the method of literature data, mathematical statistics, logic analysis and other research methods to study the parallel algorithm technology research and realization of time series data mining, mainly to make useful explorations of time series data mining and visualization technology. It embodies the design ideas of big data analysis tools, and finally reflects the power and market value of data analysis tools through the display of the platform. Research shows that running in the same data set and the same experimental environment, the improved parallel collaborative filtering algorithm ACF in this paper has higher time running efficiency than the parallel algorithm MCF based on the cooccurrence matrix, and in the case of larger data sets, the more obvious the time difference.
RETRACTED: Power Intelligent Customer Service Robot Based on Artificial Intelligence
Authors: Chen Lin
Published: November 2021

With the rapid development of speech recognition technology, voice chat robot has become a breakthrough of artificial intelligence. Voice chat robot should be a typical application field of customer service, providing customers with efficient and convenient service all day. The traditional customer service center is mainly based on telephone service, facing the problems of large number of customers, high maintenance cost, slow knowledge update, limited service time, low training cost and so on. So, at the same time, the use habits of customers have also changed fundamentally. The vast majority of services and transactions can be carried out through the Internet, such as Taobao and Jingdong. However, the quality and cost of voice services can be greatly reduced through the interaction between robots and channelization voice service centers. Through the research and development of natural language technology, an intelligent and centralized mobile communication service application platform is constructed by using we-chat platform. Through natural language processing, machine learning, big data computing and other technological innovation, we focus on the use of online robot recognition to understand customer problems and timely feedback customer needs. The results show that in the statistics of customer service machine problems, the highest proportion of consumers’ problems about payment is 37%, and the lowest is 29%.
Scene Understanding Technology of Intelligent Customer Service Robot Based on Deep Learning
Authors: Zhong Jianfeng
Published: November 2021

As a value-added service that improves the efficiency of online customer service, customer service robots have been well received by sellers in recent years. Because the robot strives to free the customer service staff from the heavy consulting services in the past, thereby reducing the seller’s operating costs and improving the quality of online services. The purpose of this article is to study the intelligent customer service robot scene understanding technology based on deep learning. It mainly introduces some commonly used models and training methods of deep learning and the application fields of deep learning. Analyzed the problems of the traditional Encoder-Decoder framework, and introduced the chat model designed in this paper based on these problems, that is, the intelligent chat robot model (T-DLLModel) obtained by combining the neural network topic model and the deep learning language model. Conduct an independent question understanding experiment based on question retelling and a question understanding experiment combined with contextual information on the dialogue between online shopping customer service and customers. The experimental results show that when the similarity threshold is 0.4, the method achieves better results, and an F value of 0.5 is achieved. The semantic similarity calculation method proposed in this paper is better than the traditional method based on keywords and semantic information, especially when the similarity threshold increases, the recall rate of this paper is significantly better than the traditional method. The method in this article has a slightly better answer sorting effect on the real customer service dialogue data than the method based on LDA.
VR Reality of the Relationship between Augmented Reality and Virtual Reality in the Context of Virtual Reality
Authors: Pan Yongming
Published: November 2021

With the development of virtual reality technology and its application in various fields, how to realize the natural and efficient interaction between human and virtual environment has always been a hot research issue. This paper mainly studies the realistic analysis of the relationship between augmented reality and virtual reality under the background of VR virtual reality. Starting from the research on virtual reality, this paper combines the features of virtual reality with the elements of visual presentation to conduct research on visual presentation in the sensory experience of virtual reality, analyze and find out the types and quantitative methods of visual presentation. This paper is supported by advance research, which is more in line with people’s perceptual needs for visual presentation. This study expands the research content of virtual reality visual presentation, provides guidance for virtual reality design practitioners, and has certain value and practical application prospects.
Research and Application of Standardization of Field Maintenance of Centrifuge Compressor in Long-Distance Pipeline
Authors: Wang Liwei
Published: November 2021

This paper expounds the necessity of carrying out the standardization of on-site maintenance and puts forward the problems in the current maintenance. Besides, solutions were proposed based on the problems and the implementation effect was eventually summarized.
Optimal Scheduling Strategy for Real-time Charging of Electric Vehicles Based on Deep Learning
Authors: Gao Shixiang
Published: November 2021

In recent years, the automotive industry has informed the development situation. Under the problems related to automobile exhaust emissions and serious air pollution and energy shortages, new electric vehicles have sufficient advantages due to their low emissions, high energy efficiency, and low noise. It has been recognized by the people and governments of all countries. The research purpose of this paper is to meet the electricity demand of users, adopt the boundary model of charging and discharging energy and fully adopt deep learning to optimize the real-time charging optimization scheduling strategy of electric vehicles. In order to meet the electricity demand of users, the charge-discharge energy boundary model is used to characterize the charge-discharge behavior of electric vehicles. After the day-ahead training and parameter saving of the proposed model, according to the real-time state of system operation at each moment of the day, the charge-discharge scheduling strategy at that moment is generated. It is verified that the proposed charging scheduling method based on deep reinforcement learning can effectively reduce the power fluctuations in the microgrid and reduce the daily charge and discharge costs on the premise of meeting the charging needs of users; during the development of electric vehicles, different electronic components, especially the power consumption of electric motors, must be faced. A deep learning algorithm based on an improved recurrent neural network (MRNN) is proposed. The system is modeled according to different data and parameters inside the vehicle, and the network is modeled by the MRNN deep learning algorithm. Carry on training, predict the power demand and provide the best power, so as to expand the mileage, better optimize the power distribution of the motor, and compare the improved models. Experimental research results show that the efficiency of the related scheduling strategy model is increased by about 37.2% compared with the traditional model. The proposed method is fast in calculation and does not require iterative calculation, which fully meets the needs of real-time scheduling.
Discussion on the Innovation and Transformation of IMM and Processing Mode
Authors: He Miao
Published: November 2021

The progress of manufacturing is the driving force and foundation of social development, and the manufacturing industry represents the country’s production level and comprehensive strength. With the continuous development and advancement of science and technology, intelligent manufacturing has transformed the traditional labor-intensive manufacturing model, which can optimize the production management process of the enterprise to a large extent and reduce the manufacturing cost. This article aims to explore the innovative transformation of intelligent machinery manufacturing (IMM) and processing models. This article first analyzes the current situation of my country’s manufacturing industry to promote intelligent manufacturing, and points out the problems that exist in the development process. Based on existing problems, this paper takes manufacturing company H as an example, through questionnaire surveys and actual research methods, explores the advantages of H company in the development of intelligent manufacturing, and finally puts forward the promotion of intelligent manufacturing capabilities and intelligent processing in the manufacturing industry. The survey data shows that among 212 people, 140 people think that H company has a clear intelligent manufacturing plan, 152 people think that the company’s human-machine cooperation is efficient, and 157 people think that the company’s production equipment technology is perfect. This shows that the advantages of H Company’s production process are: clear goals in the intelligent manufacturing transformation plan, better business cooperation between various departments, perfect management of standardized operations in the workshop, higher coverage of automation equipment, and better human-machine coordination capabilities.
Investigation of the gap bridgeability at high-power laser hybrid welding of plasma-cut thick mild steels with AC magnetic support
Authors: Üstündag Ömer , Bakir Nasim , Gumenyuk Andrey , Rethmeier Michael
Published: November 2021

One of the challenges of the high-power hybrid laser welding of thick steels is the sensitivity of the process of the process to manufacturing tolerances. This usually leads to a time-consuming preparation of the welding edges, such as milling. The study deals with the influence of the edge quality of milled and plasma-cut steel made of S355J2 with a wall thickness of 20 mm on the laser hybrid welded seam quality. Furthermore, the gap bridgeability and the tolerances towards edge misalignment was investigated. An AC magnet was used as backing support to prevent sagging and positioned under the workpiece, to generate an upwards directed electromagnetic pressure. The profiles of the edges and the gap on the top and root side were measured using a digital camera. Single-pass laser hybrid welds of plasma-cut edges could be welded using a laser beam power of just 13.7 kW. A gap bridgeability up to 2 mm and misalignment of edges up to 2 mm could be achieved successful. Additionally, the independence of the cutting side and the welding side was shown, so that samples were welded to the opposite side to their cutting. For evaluation of internal defects or irregularities, X-ray images were carried out. Charpy impact strength tests were performed to determine the toughness of the welds.
Influence of laser-induced plasma parameters on the formation of laser-induced surface-periodic structures
Authors: Kochuev D A , Voznesenskaya A A , Galkin A F , Khorkov K S , Chernikov A S , Chkalov R V
Published: November 2021

The paper presents the results of processing a silicon surface with subpicosecond laser pulses under various exposure conditions. The variable conditions were: pressure in the working chamber, the speed of scanning the silicon surface with a laser beam and the laser pulse energy. Special attention was paid to the interaction of the laser-induced plasma plume with the surface of the processed material, with laser radiation and with the medium. The influence of the medium on the parameters of the laser-induced plasma is estimated. The result of this interaction is a change in the spatial characteristics of the laser-induced plasma channel, the period and type of the formed periodic surface structures, what is related to the change in the laser radiation passing through the medium at different pressures.
Effect of thermal cycles on the microstructure and mechanical properties of cold-resistant steel 09CrNi2MoCu during laser deposition
Authors: Mendagaliyev R , Klimova-Korsmik O G , Ivanov S Y , Babkin K D , Vildanov A M
Published: November 2021

The formation of microstructure features of cold-resistant bainite-martensite steel 09CrNi2MoCu has been investigated. Thermal cycles during direct laser deposition were studied. The thermal cycles at different points of the deposited samples were investigated. The thermal cycles and CCT diagrams on microstructure formation and mechanical properties have been analyzed. The numerical calculation of the three-dimensional thermal conductivity problem by the finite element method is carried out. The received data of experimentally measured thermal cycles and the calculated data have shown good coincidence of temperature values. On the basis of the obtained data the calculated dependence of inter-layer temperature at depositing the sample with and without a pause is given. The microstructure and mechanical properties of the samples in the initial state and after heat treatment have been studied and compared with traditional hot rolling. The microstructure features at different pauses between passes in different parts of the obtained samples were revealed. The effect on static tensile and impact toughness at -40°C in the bred and heat-treated state was investigated.
Characterization of Ni-Cr-Mo alloy phase structures under DLD process
Authors: Rashkovets R M , Nikulina A A , Klimova-Korsmik O G , Smirnov A I , Veselov S V , Kislov N G
Published: November 2021

Direct laser deposition of Ni-Cr-Mo alloy has been carried out to study the phase structure transformation under various operating parameters. To assess the phase composition SEM, TEM and XRD analysis were performed. It clearly seen that the precipitation of straightening phases (γ' and γ") depends on the temperature gradients caused by different laser power. The nucleation of γ' phase starts at 750 W while γ" phase at 1000 W. The changes in temperature gradients lead to different diffusion condition across all the stage of laser power variation and formation of δ-phase, primary MC carbides and Laves phase. δ-phase of all samples did not change the shape and characterized only by plate-like shape.
Structure and properties of near-a titanium products obtained by direct laser deposition and heat treatment
Authors: Shalnova S A , Klimova-Korsmik O G , Arkhipov A V , Yunusov F A
Published: November 2021

Advanced techniques of obtaining products require careful selection of materials for various industries. Titanium alloys are widely used in the aerospace, shipbuilding and mechanical engineering industries. The development of near-a titanium alloys should be considered a significant achievement in the field of metallurgy and heat treatment (HT) of titanium alloys. This article presents a study carried out with the aim of optimizing heat treatment modes for high-temperature titanium alloys obtained by direct laser deposition (DLD). Heat treatment was carried out in the temperature range (700-1000°C), covering three typical temperature ranges, i.e. the temperature range for the partial decomposition of martensite, the temperature range for the complete decomposition of martensite, and the phase transformation temperature were subsequently selected as the heat treatment temperatures. Based on metallographic analysis, the influence of heat treatment modes on the structure, as well as the tensile properties at room temperature, of TA15 titanium DLD-samples.