scholarly journals Conception of the operational information model of smart city control system

2019 ◽  
Vol 97 ◽  
pp. 01024 ◽  
Author(s):  
Olga Kuzina
Keyword(s):  
Control System ◽  
Life Cycle ◽  
Smart Cities ◽  
Information Model ◽  
Basic Principles ◽  
Smart Object ◽  
Factors Affecting ◽  
Operational Information ◽  
Technological Documentation ◽  
Technical And Economic Indicators

The article contains the BIM-models cycle, background and basic principles of creation the operational information model of smart cities control system with tools for performing the rule check, sequence of E-BIM model use. For the development and implementation of the operational information model of smart cities control system in the construction industry, it is necessary not only to determine the basic levels and parameters of choice when taking into account solutions from the organizational and technological documentation, but also to build the architecture of application software to ensure the operation of the control system at all subsequent stages of the life cycle of the smart object. It is important to determine the main factors affecting decision-making and parameters of formation of input and output data for modeling each stage of the life cycle of the object, as well as technical and economic indicators of the information model by stages [1,2].

scholarly journals Smart Object Detection and Home Appliances Control System in Smart Cities

2021 ◽  
Vol 67 (1) ◽  
pp. 895-915
Author(s):  
Sulaiman Khan ◽  
Shah Nazir ◽  
Habib Ullah Khan
Keyword(s):  
Control System ◽  
Object Detection ◽  
Smart Cities ◽  
Smart Object ◽  
Home Appliances

scholarly journals Integrated logistics support for the life cycle of building objects

2020 ◽  
pp. 17-25
Author(s):  
Volodymir Marchuk ◽  
Henryk DŹWIGOŁ
Keyword(s):  
Life Cycle ◽  
Information Model ◽  
Technical Condition ◽  
Information Environment ◽  
Design Stage ◽  
Construction Sites ◽  
Operational Information ◽  
Logistic Support ◽  
Integrated Logistical Support ◽  
Integrated Information

The role of integrated logistical support in the after-sales stages of the life cycle of construction sites is considered. It is shown that the effective management and operation of buildings and structures, their engineering equipment, is impossible without the analysis of logistical support, which is carried out at the design stage and is refined at the following stages of the life cycle of construction objects on the basis of accounting and analysis of operational information on the management of technical condition of construction. An information model of integrated logistic support for the life cycle of construction structures has been developed. It is shown that the core of the information model is an integrated information environment that contains information about the construction object, resources and processes, ensures that the data involved in the life cycle of the entity is stored and accessible. Data is added to the information environment by all participants throughout the lifecycle of the objects, allowing you to receive and analyze up-to-date project documentation and visualizations at any time. The stages of the life cycle of construction objects in an integrated information environment are analyzed.

Effectiveness Of Life Cycle Management Of Projects Using Information Modeling

2019 ◽  
pp. 24-29 ◽  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Engineering Systems ◽  
Basic Principles ◽  
Complex Engineering ◽  
Domestic Practices ◽  
Capital Construction ◽  
Complex Engineering Systems

Improving the efficiency of life cycle management of capital construction projects using information modeling technologies is one of the important tasks of the construction industry. The paper presents an analysis of accumulated domestic practices, including the legal and regulatory framework, assessing the effectiveness of managing the implementation of investment construction projects and of complex and serial capital construction projects, as well as the life cycle management of especially dangerous technically complex and unique capital construction projects using information modeling technologies, especially capital construction projects, as well as their supporting and using systems, primarily in the nuclear and transport sectors. A review of modern approaches to assessing the effectiveness of life cycle management systems of complex engineering systems in relation to capital construction projects is carried out. The presented material will make it possible to formulate the basic principles and prospects of applying approaches to assessing the effectiveness of the life cycle management system of a capital construction project using information modeling technologies.

Risk assessment of additional financial costs on the example of implementation of projects of the rocket space industry

2021 ◽  
pp. 77-84
Author(s):  
Е.В. Докукина ◽  
Е.В. Парфенова
Keyword(s):  
Risk Assessment ◽  
Life Cycle ◽  
Statistical Analysis ◽  
Economic Indicators ◽  
Early Stages ◽  
Space Industry ◽  
Financial Costs ◽  
Additional Costs ◽  
Technical And Economic Indicators

В работе исследуется один из возможных метод оценки риска дополнительных финансовых незапланированных затрат в рамках реализации проектов ракетно-космической отрасли, поскольку по различным причинам они не учитывались при определении технико-экономических показателей реализуемого перспективного проекта. Следовательно, предлагаемый метод позволяет на ранних стадиях проведения исследований оценить дополнительные затраты и учесть их влияние на конечные технико-экономические показатели перспективного проекта. Метод строится на основе статистического анализа затрат по этапам жизненного цикла и по проекту в целом. По итогам исследования сделан вывод о том, что риск дополнительных финансовых затрат может снизить эффективность проекта в полтора - три раза. The paper explores one of the possible methods for assessing the risk of additional unplanned costs for the implementation of a promising project. Under additional means costs that for some reason were not planned when determining the technical and economic indicators of the prospective project being implemented. The proposed method allows for the early stages of research to assess the additional costs and take into account their impact on the final technical and economic indicators of a promising project. The method is based on a statistical analysis of costs for the stages of the life cycle and for the project as a whole. The study concluded that the risk of additional costs may reduce the effectiveness of the project in one and a half to three times.

scholarly journals Digital Transformation using Iot in Smart Environment Applications

2020 ◽  
Vol 9 (7) ◽  
pp. 47-50
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Smart Cities ◽  
Smart Services ◽  
Research Areas ◽  
Searching Strategy ◽  
Review Protocol ◽  
Traffic Control System ◽  
Research Questions

With increasing usage of technologies and smart solutions smart cities are developed and enabled with many smart services. This paper has conducted a systematic literature review to find out IOT applications and its role in Traffic Control System. The review protocol is formulated to define some of the research questions, searching strategy, selection criteria of papers and how data is extracted. This paper contributed towards one main issue: The various research areas of Internet of Things and Role of IOT in the Traffic Control Services? All the papers were categorized by the application services of IOT and Traffic Control services they discussed. All the recent work were categorised under the application in various area like traffic and transport; Agriculture; Security; Healthcare; energy management; city infrastructure; and modes of transport. This paper reviews the various methods of traffic control system in different perspective of different IOT application areas.

scholarly journals Using XML schemas to structure information models of capital construction facilities

Vestnik MGSU ◽  
2020 ◽  
pp. 1570-1583
Author(s):  
Sergey A. Volkov ◽  
Tatiana V. Khripko
Keyword(s):  
Information System ◽  
Life Cycle ◽  
Information Systems ◽  
Management Information System ◽  
Information Model ◽  
Management Information ◽  
State Information ◽  
Building Information ◽  
Capital Construction ◽  
Urban Planning Management

Introduction. Building Information Modeling (BIM) is an auspicious approach that supports management and exchange of semantically rich 3D models across design disciplines. Recently, BIM has gained widespread acceptance in the AEC industry, and it improves the efficiency and quality of the process by facilitating the early exchange of 3D building models. At different stages of the life cycle, a building information model is gradually refined from rough conceptual design to detailed individual components. The task is to develop mechanisms for machine verification (authentication) of data transmitted to/from different systems (for example, from a customer to an expert evaluation authority, from a contractor to the urban planning management information system or any other state information system) in the form of an information model of capital construction facilities or certain components of an information model. Materials and methods. To substantiate the choice of the language employed to describe machine-readable documents, various use cases of XML schemas were analyzed, including the use of the Google Trends tool. Information systems, implemented in the Russian Federation, were also considered. Most of them use the W3C XML Schema language to describe XSD schemas. Results. A consolidated list of XML schemas, necessary and sufficient to maintain stages of the life cycle of a capital construction facility in terms of interaction with the Urban Planning Management Information System is presented. To ensure interaction between the life cycle participants and state information systems, it is necessary to have the list of XML schemas approved at the federal level. The paper presents matrixes of scenarios for the application of XML schemas in the following coordinates: participants, life cycle stages. Conclusions. XML schemas can be supplemented in respect of various stages of a life cycle of a capital construction faci-lity to be verified with due regard for further methodological approaches and changes in regulatory and technical acts; new approaches and the need for this supplementation must be substantiated.

scholarly journals The role of landscape design in Smart Cities

2018 ◽  
Vol 13 ◽  
pp. 49-55
Author(s):  
Skirmante Mozuriunaite
Keyword(s):  
Urban Design ◽  
Urban Landscape ◽  
Smart Cities ◽  
Academic Research ◽  
Landscape Design ◽  
Factors Affecting ◽  
Modern Cities ◽  
Management And Development ◽  
Design Planning

Smart cities are not a new phenomenon and it is an interdisciplinary definition that became a popular labeling for modern cities. However, there a is surprisingly little academic research in urban design and planning field that discusses this phenomenon. Smart cities definition is similar to intelligent, creative, sustainable or liveable cities which appears to be considered as a part of a play with words. In most of the technological and social science articles smart cities refer to a smart urban management and development via technologies and infrastructure. Based on the scientific literature overview, there are several factors affecting the city smartness, such as technology, people and communities, economy governance, planning and infrastructure. Overall there is a little information and research on urban design principles and tools in the smart city’s creation and contribution to its smartness. The most important thing is to clarify the urban design, planning and landscape design role importance to a smart city context and vice versa. The aim of this paper is to overview the smart cities concept from urban design perspective to find and highlight the important touch points, relation and role of urban design, planning and landscape design in smart cities creation. This would lead to the robust principles for smart European cities that would enable to achieve sustainable development, efficient urban growth and a better urban landscape.

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