dc.contributor.author |
Shabaev A.A. |
|
dc.contributor.author |
Ponomareva V.D. |
|
dc.contributor.author |
Balabanova O.N. |
|
dc.date.accessioned |
2021-02-25T21:02:00Z |
|
dc.date.available |
2021-02-25T21:02:00Z |
|
dc.date.issued |
2020 |
|
dc.identifier.issn |
2392-9537 |
|
dc.identifier.uri |
https://dspace.kpfu.ru/xmlui/handle/net/162941 |
|
dc.description.abstract |
© 2020. All Rights Reserved. It is crystal clear that automation changes or eliminates jobs, and has an impact on energy use, natural resource use and the environment. Modern production rarely makes its own cutting tools. Self-production requires significant equipment costs. Constantly changing materials and cutting conditions require new research. The science of cutting theory also evolves constantly. All this forces you to purchase a tool from various third-party manufacturers. Each manufacturer has the right to enter its own designations of the main and auxiliary tools. The coding system itself is often a handwritten or printed data archive, in which there is often not enough information and most often this information is presented in the form of a code, for understanding of which additional knowledge and information sources are required. All this significantly increases the time spent on the selection and design of the technological process as a whole. And it is not uncommon for incompatibility errors to occur, because a manufacturer did not specify some parameter. This article proposes an intelligent automated system for an auxiliary tool selection by its type, purpose, equipment on which it is supposed to be used, as well as by other possible criteria. Furthermore, it discusses the effects of this phenomenon on the environment and ecosystem. It is an urgent task for modern production. This allows to increase the speed of environmentally-friendly technological process design and increase their efficiency. The introduction of such a system ensures the improvement of the knowledge base, its expansion by combining several sources into one system. This made it possible to increase the speed of decision making, as well as their efficiency. The proposed system provides the ability to select a tool instantly. |
|
dc.relation.ispartofseries |
Procedia Environmental Science, Engineering and Management |
|
dc.subject |
ecosystem |
|
dc.subject |
environment |
|
dc.subject |
knowledge base |
|
dc.subject |
Multi-agent system |
|
dc.subject |
tool |
|
dc.subject |
tooling coding. |
|
dc.title |
Effects Of Intelligent Automation for Sustainable Development |
|
dc.type |
Article |
|
dc.relation.ispartofseries-issue |
4 |
|
dc.relation.ispartofseries-volume |
7 |
|
dc.collection |
Публикации сотрудников КФУ |
|
dc.relation.startpage |
505 |
|
dc.source.id |
SCOPUS23929537-2020-7-4-SID85100049797 |
|