Full Description

Scope

This recommended practice describes integrating and deploying the Multi-agent Systems (MAS) technology in industrial environments for use in building the intelligent decision-making layer on top of legacy industrial control platforms. The integration of software agents with the low-level real-time control systems, mainly based on the Programmable Logic Controllers (PLCs) running the IEC 61131-3 control programs (forming in this manner a new component known as industrial agents) are also identified. In addition, the integration of software agents with the control applications based on IEC 61499 standard or executed on embedded controllers is described. This recommended practice supports and helps the engineers leverage the best practices of developing industrial agents for specific automation control problems and given application fields. Therefore, corresponding rules, guidelines and design patterns are provided.

Purpose

The recommended practice intends to solve the interface problem when applying industrial agents, namely integrating software agents with automation control level in the context of cyber-physical systems (CPS) (Lee [B11]). The idea is to provide a description of a collection of best practices for the integration process according to the automation use cases and automation control level, aiming to standardize the interface process to allow the reuse and transparency

Abstract

New IEEE Standard - Active.The recommended practices to solve the interface problem when applying industrial agents, namely, integrating intelligent software agents with low-level automation devices in the context of cyber-physical systems, are described in this recommended practice. In particular, a method to select the best interfacing practice for a given application scenario, defined by the user, from a set of available interfacing templates and technologies, aiming to improve reuse, consistency, and transparency in the integration of industrial agents and low-level control functions, is defined.

Product Details

Published: 01/29/2021 ISBN(s): 9781504471046, 9781504471053, 9781504473477 Number of Pages: 39 File Size: 1 file , 3.9 MB Product Code(s): STD24432, STDPD24432, STDPL24432 Note: This product is unavailable in Russia, Ukraine, Belarus