digital production
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KronoScope ◽  
2022 ◽  
Vol 21 (2) ◽  
pp. 111-131
Author(s):  
Andrew Buchanan

Abstract This article explores ways in which animation production technologies (including pre-cinema, film, and digital tools) have evolved as a system that abstracts time, primarily through its spatialization. This abstraction necessitates certain assumptions about the nature of time, including its linearity and directionality. Animation technologies have evolved so as to support various modes of temporally extended consciousness; an animator’s craft thinks and works through time. Embedded within digital production technologies, the animator is faced with a new philosophical instrument: the animation timeline. The main timeline utility in most animation software adopts a linear, mechanical model of time with the individual frame as the base unit. However, digital animation timeline can also complicate the spatialized temporal dimension, as the timeline is also embedded within animated objects in motion paths and other interface elements . As animated objects always exist through time, not merely within individual frames, the animation software tools for working with time both confine and unlock opportunities for working with time.


2022 ◽  
pp. 73-78
Author(s):  
A. D. Okolnishnikov ◽  
A. I. Ukhova ◽  
E. V. Krasnov

The article analyses the digitalisation of real estate services in Russia. Empirical works of leading analytical agencies and experts’ academic papers in the field of economic sciences has been summarised and sysrematised. The development key indicators of Russian digital economy, digitalisation level of certain service sectors, digital production features and digital consumption which characterise the digital economy development, have been considered. It has been noted that at present the digital services of in real estate services are at an early stage of development due to the small number of market participants who have fully implemented digital services and online technologies in their activities. It has been revealed that most of the stages of real estate services for the sale or purchase of residential property can be partly or fully realised using digital services and online technologies. Generalised characteristics of real estate services digitalisation at present and prospects for its development have been formulated. 


2021 ◽  
Author(s):  
Ayesha Ahmed Abdulla Salem Alsaeedi ◽  
Manar Maher Mohamed Elabrashy ◽  
Mohamed Ali Alzeyoudi ◽  
Mohamed Mubarak Albadi ◽  
Sandeep Soni ◽  
...  

Abstract This paper discusses business intelligence algorithms and data analytics capabilities of an integrated digital production platform implemented in a giant gas condensate field. The advanced workflow focuses on helping the user navigate through the bulk of data to identify patterns and make predictions utilizing exception-based intelligence alarming. This helps derive insightful findings and provides recommendations for users to make efficient business decisions for achieving field potential optimization objectives. An Integrated digital production platform within a giant gas condensate field is implemented with numerous production optimization workflows encompassing daily well and facility performance monitoring and surveillance. The data integration within the systems is enhanced by integration with powerful Business Intelligence (BI) tools, enabling users to create customized dashboards, KPI screens, and exception-based alarm screens. An additional integration to the production platform is carried out with data from real-time sources like PI Asset Framework and corporate databases, improving the integrated production system's daily well and facility surveillance capabilities. The advanced integration of BI tools provided users with various opportunities to identify bottlenecks, production improvement chances, and troubleshooting areas by capitalizing insights from various dashboards and business KPI screens. Further, integrating these dashboards with several corporate data sources and a real-time asset data framework enabled users to harness maximized information embedded in the bulk of data. This also enabled end-users to harness maximized system potential, with all information available under a single collaborative platform. The integration powered by various inbuilt complex algorithms extended scripting capabilities, and enhanced visualization assisted the asset in realizing business KPIs requirements. Business intelligence algorithms in user interface established a drill-down approach to utilize information associated with multiple variables on top of one another. This allowed for the quick identification of trends and patterns in data. The customization approach helped the user to draw maximum information out of data as per their engineering requirements and current practices. This advanced integration facilitated users to minimize their efforts in traditional data analysis such as gathering, mapping, filtering, and plotting. With the help of these powerful features embedded in an integrated platform, the user was able to drive more focus on optimization and minimize time and effort on system configuration. This unique integration was one of its kind. An online integrated digital production platform comprising of wells, networks, and various workflows was integrated with business intelligence tools, thereby providing end-users tremendous opportunities related to system optimization.


2021 ◽  
Vol 103 (11) ◽  
pp. 101-123
Author(s):  
Arthur Alexander Blagorodov ◽  
◽  
Vladimir Timofeevich Prokhorov ◽  
Tatiana Pavlovna Lopatchenko ◽  
Galina Yurievna Volkova ◽  
...  

2021 ◽  
pp. 28-33
Author(s):  
E.V. Khalin

The functional capabilities provided by the digital production safety training system for those responsible for training allow the software complex to be maintained in a stable operational state when exposed to emergency situations, to fulfill all the necessary needs of responsible users with the authority to create effective training programs and to test the knowledge of workers on production safety, to quickly form up-to-date digital reporting documentation for the organization.


2021 ◽  
pp. 10-20
Author(s):  
E.V. Khalin

The preparation and control of the knowledge of those working on industrial safety using networked digital intelligent learning systems containing formalized knowledge in text and graphical representation and simulation models in the form of distributed databases and knowledge is considered as the most important element of the organization of safe production based on digital technologies. When integrating training systems into a specific digital production, educational content, if necessary, is supplemented and developed by those responsible for training and the students themselves as part of the educational resource of digital organizations for training and retraining personnel.


Ergodesign ◽  
2021 ◽  
Vol 0 (3) ◽  
pp. 177-187
Author(s):  
Leonid Chervyakov ◽  
Islam Aleksandrov ◽  
Natalia Bychkova

Aim of the work. The main aim of the analysis is to search for approaches to building an exhaustive epistemological model of the production process as a set of connections to be disclosed and implemented in the automated production, which is a complex anthropotechnical cyberphysical system. Research methods. Digitalization of production inherently involves the solution of three major tasks: digitalizing communications, forming digital models of various objects, developing digital “tools” for decision support. Solving these tasks requires understanding of the deep essence and laws of such a complex system as a production process. This allows looking at the production process as a single interconnected structure (system) of its elements, where ignoring them often leads to a significant decrease in the quality of the design and technological decisions taken and, as a consequence, unjustified costs of various types of resources or non-fulfilment of the set requirements for the manufactured products (item). The interdependence of the objects of the production process allows speaking about the production process connections. Research results and novelty. To ensure the quality of the design and technological decisions taken during the production process digitalization, the former is represented as a system of links that have an “elementary” level of generalization in form and the maximum level of generalization in content. This allows representing the production process as a meaningful set of transition functions to be implemented. Findings. For the purposes of analyzing and building digital production, as a most complex anthropotechnical cyber-physical system, it is advisable to represent the production process in the form of a system of connections, while it should be considered that: 1. The manufactured product in the general case is a combination of three types of relations: dimensional, substantial and economic. 2. To ensure the item connections, a production process must be implemented, which in the general case represents a system of five types of connections: dimensional, informational, temporary, substantial and economic ones. 3. The interdependence of the links between the item and the production process is revealed through the transition functions, which are heterogeneous and indefinite. In addition, when creating a production process and automating it, designers have to face two major challenges: the choice of relations and their organization. Both are fraught with great engineering difficulties. 4. Representing the production process and the finished product in the category of connections is an important epistemological aspect of modelling and understanding the process itself, which allows highlighting and concentrating efforts on its important and essential aspects. At the early stages of design all this already helps to reduce possible errors arising from an incomplete and / or inappropriate representation of the nature and features of this process and, as a consequence, is a certain guarantee of achieving the gradual goal while reducing the necessary costs.


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