Application of big data in engineering industry

The article introduces the problem of maximum simplification of the process of information visualization and automation of design and production processes using "big data," which helps to analyze trends based on analytics and forecast stocks, production volumes, service life, and cycles of...

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Bibliographic Details
Main Authors: Anatolyevich, Aleksandrov Aleksandr, Mikhailovich, Pavlov Andrey
Format: Conference Proceeding
Language:English
Subjects:
Automation
Big Data
Economic forecasting
Machine learning
Model accuracy
Prediction models
Scientific visualization
Service life
Online Access:Get full text
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Summary:The article introduces the problem of maximum simplification of the process of information visualization and automation of design and production processes using "big data," which helps to analyze trends based on analytics and forecast stocks, production volumes, service life, and cycles of equipment operation, etc. This article discusses the concept of prediction models and their application. The article also provides an introduction to the concept of proactive error prevention in production. The challenges for research include prediction accuracy, the automated adaptation of prediction models to a variety of processes, and the management of prediction models in changing processes. The proposed solution is a combination of machine learning technologies and Big Data-based approaches, as well as knowledge modeling.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0036191