Common Operating Picture-Silicon Valley Campus - Carnegie Mellon University

Common Operating Picture-Silicon Valley Campus - Carnegie Mellon University

Project: Common Operating Picture Framework

Summary: A geospatially customizable common operating picture engine, serving as a shared internet map for damage assessment, GPS resource tracking, exercises and training

Description of Technology: An extremely low-cost, light-weight hardware and software package to enable rapid development of location- and scenario-specific training, exercises and operations information sharing for emergency first responders. A standards-based, preconfigured, Augmented Reality System for the authoring, conduct, and evaluation of Tabletop, EOC, and Field training and exercises. The system is a structured integration of a number of freely available open web applications which work together to provide an entry level capability for Incident Command Posts and EOCs. Primary functions include a shared web map, Critical Infrastructure registration and status, Key Resource GPS tracking, Remote Imagery, and Exercise Control. Tools are provided to enable the rapid mapping and modeling of a custom geospatial exercise environment based of an agency’s jurisdictional area and the surrounds. Additional functions can be added through standard interface techniques.

Common Operating Picture

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Proposed Research: This work builds on nine years of effort by the Golden Gate Safety Network to assist regional public safety agencies to develop web based methods of information sharing for large scale incidents and mutual aid. The GGSN is now a program at the Carnegie Mellon Disaster Management Initiative based at the NASA Research Park at Moffett Field in Mountain View CA. The Common Operating Picture is a major theme of this work, and ongoing collaboration with other research teams provide opportunities to incorporate new aspects such as indoor fire fighter tracking, geo-referenced photography and video, and citizen provided information through new forms of social media. Several major case studies will be undertaken at different scales including the Menlo Park Fire Protection District, NASA Ames Research Center, and the California Emergency Management Agency Fire and Rescue Region II. Implementation will result in significant new capabilities for day to day operation as well as the ability to quickly assemble training and exercise modules based on real world facilities and response resources.

How it is New and Different: This project attempts to build a complete entry level capability for Common Operating Picture training and exercises based purely on freely available software. Both client and server implementations are platform neutral and incorporate relevant data standards such as NIEM, EDXL, OGC, HSEEP, and others. Supported hardware includes desktops, laptops, tablets, and smart phones. If this work is supported by grant funding, then the resulting package can be provided at no cost to small agencies who have extremely limited funds for this type of capability.

Proposed Applications: Initial applications will focus on the development of Tabletop and EOC exercises. As experience is gained and user feedback is received, certain functions will be worked into day to day operation, such as GPS tracking and remote imagery. Quarterly reviews will reset priorities based on team consensus.

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Work supported in part by Menlo Park Fire Protection District

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