Juan L. Asenjo

Cloud Based Agent Framework for the Industrial Automation Sector

This chapter presents a novel idea that leverages technologies such as intelligent agent-based control and cloud computing to enhance business and operations intelligence in the industrial automation domain. We present the infrastructure framework for an analytics orchestrator that orchestrates high-level analytics required for proactive control of real-time applications. The programming model that has been used to develop applications using the infrastructure is also described here. The analytics orchestrator is designed to be scalable, flexible, and reusable to enable any user to interface with the analytics framework. We also present a use case where we have used cloud services to develop a remote monitoring application for an energy system.

Merging agents and cloud services in industrial applications

A novel idea to combine agent technology and cloud computing for monitoring a plant floor system is presented. Cloud infrastructure has been leveraged as the main mechanism for hosting the data and processing needs of a modern industrial information system. The cloud offers unlimited storage and data processing in a near real-time fashion. This paper presents a software-as-a-service (SaaS) architecture for augmenting industrial plant-floor reporting capabilities. This reporting capability has been architected using networked agents, worker roles, and scripts for building a scalable data pipeline and analytics system.