Development of a Knowledge Base for a Unified Artificial Immune System for Complex Objects Control

2021

Closed access Metadata (CSL-JSON)
DOI 10.1109/icieam51226.2021.9446418
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Nowadays one of the priority research areas for achieving technical progress within the Industry 4.0 program is the development of artificial intelligence and the introduction of innovations based on it into real industrial production. The article discusses the latest achievements in the integration of microprocessor control systems with artificial intelligence methods. There is being developed a knowledge base using modified algorithms for a unified artificial immune system (UAIS) for complex objects control in the oil and gas industry. The architecture of UAIS is presented on the example of the TengizChevroil enterprise technological process. The development of a rule base for optimal scenarios for technological process control is considered using the example of Unit 700 for gas fractionation