HMI for Efficient, Lithe, and Intuitive Operator-communication and Sense-making in Power Networks (HELIOS-PN)

Period of Performance: 01/01/2014 - 12/31/2014

$150K

Phase 1 SBIR

Recipient Firm

Intelligent Automation, Inc.
15400 Calhoun Dr, Suite 190
Rockville, MD 20855
Firm POC
Principal Investigator

Abstract

The increased level of automation in military and industrial power system networks in the recent decades has transitioned the control centers from hard wired analog meters to large computerized panels allowing the operators access to a large amount of data. A limitation of current power control operating stations is the mentally intensive nature of translating data into actionable intelligence. Power system operators have at their disposal an increasing array of information but must rely on experience to interpret and balance options. In this proposal, Intelligent Automation, Inc. (IAI http://i-a-i.com/) in collaboration with researchers from Florida State University intends to develop a modular, flexible and scalable semi-autonomous operators"control system for military power and energy networks. We propose an agent-based automation and decision support engine, visualization libraries, and front end adaptive screens that will integrate state-of-the-art automation and visualization techniques to assist in the complex task of providing the right representation of the right data at the right time, relieving the operator of lower levels of data aggregation and contingency analysis. The interface system provides effective remote control and monitoring, both for stationary and mobile operators.