scholarly journals Theory and practice of constructive solutions technological justification for railway objects via the use of an expert system

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Technological Process ◽  
Theory And Practice ◽  
Railway Track ◽  
Production Model ◽  
Automated Systems ◽  
Technological Processes ◽  
Railway Construction ◽  
Design Solutions

In this article, we present the abstract theorem and the feasibility for the implementation of the technological justification of the structural concept for track railway line objects using the expert system. Railway construction as a complex dynamic system requires certain resources for maintaining it. At the same time, it is characterized by the use of new, more advanced design solutions, materials, and technologies, the performers’ specialization development, and the attendant large number of participants in the technological process. Key role in these conditions gets effective standard operating procedures control, procedures that performed during the railway facilities construction. This can be achieved by improving the existing engineering and technical support system for railway construction by introducing an engineering and intellectual support subsystem for the technological processes of railway facilities construction. One of the tasks of technological processes engineering and intellectual support is the effective use of automated systems with artificial intelligence elements. Creation and implementation of automated systems with artificial intelligence elements are focused on achieving a single final result: a finished railway track facility of the corresponding functional purpose within the established deadlines planned prime cost and labor contribution and also up to date safety requirements throughout the entire operation period. Within the scope of the methodology formation for engineering and intellectual support of railway construction technological processes, the stages of constructive solutions technological substantiation for railway objects were considered, and the railway construction technological features were determined. The procedure for the railway track object decomposition into structural elements is described here. The results obtained at the decomposition stage made it possible to determine the possibilities of using expert systems to develop a technological process for the railway track object construction. With account taken of special factors relating to formalization series of tasks at hand. By the aid of the expert system, which was built based on the knowledge representation production model, was developed and described methodology for generating a construction works nomenclature. Based on theoretical research results, practical aspects of the technological substantiation implementation of design solutions using an expert system were presented here through the example of the railway roadbed flooded carn construction. During dissertation research done by the author, were obtained results that were presented in this article.

scholarly journals Intellectualization of engineering and technical support of railway construction

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Technological Process ◽  
Technical Support ◽  
Automated System ◽  
Railway Track ◽  
New Paradigm ◽  
Technological Processes ◽  
Railway Construction ◽  
Over Time

The article is devoted to the theoretical foundations of improving the engineering support of railway construction. One of the main purposes of the existing engineering support system is to evaluate the results of development and monitor the implementation of technological processes for the construction of railway facilities. In the course of the study, it was determined that a number of stages in the development and implementation of technological processes contain tasks for which the use of automated design and control systems is sufficient. However, there are tasks whose solution depends on the experience and intuitive abilities of the engineer (developer of organizational and technological documentation). To solve such problems, in addition to settlement procedures, logical ones are also necessary. In addition, the intensification of railway construction, many restrictions on the production of works and resources, as well as deviations from planned indicators, require prompt decision-making aimed at compliance with design requirements. Obviously, the total amount of information and data on the design and actual technological processes does not guarantee the efficiency and rationality in decision-making by an engineer. In this case, to solve technological, organizational and managerial tasks, it becomes possible to use some methods and means of artificial intelligence. In this regard, it was proposed to supplement the existing system of engineering and technical support for railway construction with a subsystem of engineering and intellectual support for the technological process of constructing a railway track. For the purpose of intellectualization and the formation of a new paradigm of engineering support for railway construction, an analysis was made of modern and promising practices in the development and implementation of technological processes from the perspective of the life cycle of a railway track object. It was found that modern technological processes for the construction of railway facilities should be flexible to changing working conditions. The study showed that this can be achieved through the formation of adaptive digital technological regulations. The basis of the digital regulation is the information model of the technological process. The model formation procedure is divided into stages containing tasks, the solution of which is possible using artificial intelligence tools such as expert systems, artificial neural networks, and genetic algorithms. A fundamental feature of the engineering and intellectual support of the technological process is the possibility of its operational regulation based on the results of monitoring its development over time. A feature of this approach is the need for the operational processing of a large amount of data that determine the development of technological processes over time, the conditions of work, the production capabilities of construction (contracting) organizations. For this, the mathematical and conceptual models of an intelligent automated system have been developed. Its main purpose is the operational solution of the problems of development and implementation of the technological process of construction of railway facilities. The results obtained during the study, as well as the developed tools, made it possible to determine the possibilities of integrating the developed methodology into the existing system for designing and managing the construction of railway facilities. The results given in the article were obtained during the dissertation research performed by the author.

scholarly journals Railroad track technological construction process modeling and optimization using a genetic algorithm

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Genetic Algorithm ◽  
Technological Process ◽  
Construction Process ◽  
Automated Systems ◽  
Construction Work ◽  
Railroad Track ◽  
Evolutionary Modeling ◽  
Modeling And Optimization ◽  
Technological Processes ◽  
Railway Construction

The article discusses theoretical and practical research in the field of evolutionary modeling application for solving construction works planning problems in the formation of railroad track technological construction process. The study is a part of the developed engineering and technical support subsystem for railway construction: engineering and intellectual support of railroad track technological construction process. This subsystem is based on the effective use of automated systems with artificial intelligence elements. Development and implementation of these automated systems are focused on achieving a single end result, such as a finished railroad track facility with suitable functionality within the established deadlines, planned working cost and labor costs, as well as meeting modern safety requirements throughout the entire operation period. Taking into account railway construction dynamic, the use of new materials and technologies, new trends were identified within the study scope in the field of technological processes operational development, and optimal work sequence determination in the railway facilities construction. In particular, the occurrence of deviations from the planned requirements in the construction work course requires a quick reconsideration of the decisions already made, due to the railway construction stochastic behavior. This is a forced measure to ensure the fulfillment of the planned targets. The existing methods allow to correct the construction work organization, however, the technology, and in particular, the technological process remains unchanged. The static nature of the technological process is largely dictated by the project documentation requirements and work safety. But modern advances in the information and intelligent technologies field, with the account of technological process structure variability, can give a technological process dynamic properties. The technological process's ability to adapt to changing work production conditions will provide flexibility in the railway facilities construction. To solve this problem, an automated evolutionary modeling mode and optimization of the railway facility construction technological process were used. The peculiarities of existing optimization methods, in terms of the dimension of the active task and taking into account several criteria, force us to turn to intelligent methods. The article describes a technological processes optimization method for the railway facilities construction using a genetic directed search algorithm in the space of solutions. In this case, several design constraints are taken into account: resource, technological, organizational, informational. For this, a computational and logical model was developed, which made it possible to assess the target function (fitness function), with the account of the dynamic distribution nature of the contractor's available resources for construction work. Based on the theoretical research results, the article presents the practical aspects of evolutionary modeling and optimization of the railway facilities construction technological process using a genetic algorithm on the example of the flooded railway roadbed embankment construction. The results presented in this article were obtained during the dissertation research made by the author.

scholarly journals Cloud system for decision supporting of technological process of restoration of surfaces of structures and machine parts

2021 ◽  
Vol 5 (4) ◽  
pp. 79-95
Author(s):  
Tetiana Smirnova ◽  
Kostiantyn Buravchenko ◽  
Serhii Kravchenko ◽  
Vitalii Horbov ◽  
Oleksii Smirnov
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Decision Support System ◽  
Technological Process ◽  
Support System ◽  
Cloud Service ◽  
Electric Arc ◽  
Heuristic Rules ◽  
Technological Processes ◽  
Machine Parts

The object of research is the process of decision support of the technological process. The subject of the research is the decision support system of the technological process of restoration of surfaces of structures and machine parts in the form of cloud service. The purpose of the work is to develop a decision support system for the technological process of restoration of surfaces of structures and machine parts in the form of cloud service, which will further optimize high-tech processes of enterprises of various scales using cloud information technology. As a result of the research, the difficulties of automating the design of technological processes are analyzed, mainly due to the fact that the tasks of technological process design do not currently have formal methods of solution. Therefore, for the implementation of technological design, the development of formalization of technology (or part of it), ie the replacement (transformation) of meaningful proposals by the mathematical apparatus. As a result of this formalization, a scheme of information flow in the process of process optimization is proposed. the model of realization of structure of technological process for which the basic input parameters are defined is developed: the list of parameters influencing process. The structure of the expert system for optimization of technological processes was also proposed, the methods of knowledge presentation were analyzed and the scheme of information flows during the implementation of this expert system was developed accordingly. Based on the considered and developed methods and mechanisms used for the development of technological processes, the structure of the information cloud decision support system for automation of the creation of optimized technological processes has been developed. Using the developed methods and models, as a result of the process of process optimization according to acceptable heuristic rules, it was possible to obtain a set of chains of separately optimized technological processes, from which multicriteria selection that meets the optimization requirements. The user of the system can receive in return both one card of technological process, and some best. Conclusions. The developed approaches to the optimization of technological processes were applied to solve the problem of optimization of the technological process of electric arc processing. First, the technological process of electric arc processing was formalized. After that, the formation of heuristic rules and knowledge base of the structure of the technological process of electric arc spraying and accordingly developed the structure of the knowledge base of this technological process and a diagram of the use of the developed information system in the form of cloud service.

scholarly journals Resource planning of the railway facilities construction technological process with the use of an artificial neural network

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Technological Process ◽  
Resource Planning ◽  
Theoretical Research ◽  
Software Module ◽  
Railway Construction ◽  
Technical Maintenance ◽  
Artificial Neural

The article is dedicated to theoretical and practical research in the resource planning field for the railway facilities’ construction technological process using artificial neural networks. The study is a part of the subsystem in the development of railway construction engineering and technical maintenance — engineering and technical maintenance of railway facilities construction technological process. The subsystem is based on the effective automated systems use with elements of artificial intelligence. This is caused by deviations occurrence from the target requirements during the technological process implementation, due to the railway construction stochasticity, and the need for a prompt revision of the already made decisions. The existing methods allow us to correct the construction work organization, however, the technology remains unchanged, which is dictated by the design documentation and the work safety requirements. To give technological process flexibility in order to adapt to work changing conditions, it is necessary to provide an operational solution to the resource planning problem. The existing resource planning methods peculiarities, the current problem dimension, and the need to take into account a number of restrictions allow us to use artificial intelligence tools. In this regard, a methodology and a railway facilities construction technological process resource planning (labor, technical) computational-logical model with the artificial neural network use were developed. This approach is based on the lack of precise algorithmic actions or rules that can provide the desired result without formal complications. Also, the author has developed a special software module, prepared a data sample, an artificial neural network topological structure, and implemented an algorithm for its training, configuration, and testing. Based on the theoretical research and software module application results, the article presents the practical aspects of resource planning for the railway roadbed flooded embankment erection technological process.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

МODERNIZATION TECHNOLOGY REPAIRING ACENTRIFUGAL WATER PUMP

2018 ◽  
pp. 48-51
Author(s):  
Sh.U. Yuldashev ◽  
D.T. Abdumuminova
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Energy Efficient ◽  
Technical Support ◽  
Ultrasonic Processing ◽  
Water Pump ◽  
The Real ◽  
Technological Processes ◽  
Efficient Management ◽  
Pump Shaft

The article provides an overview of the principle of the pump D630-90, as well as methods for studying the real conditions of technical support to improve maintainability and optimize technological processes and systems. A technological process for the restoration of the shaft of a centrifugal water pump has been developed and an algorithm for managing it has been proposed, on the basis of which the system for energy-efficient management of the recovery area has been implemented. Also in the article some questions of use, metal-filled compound SK812, and also application of ultrasonic processing of a surface of a shaft of the centrifugal water pump of mark D630-90 are mentioned and considered. The developed technological process of pump shaft restoration showed that it is characterized by simplicity, it fits well into the production process of repair and can be widely used in repair shops.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

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