SU-E-I-89: Real-Time Information and Decision Support for Radiological Emergency Response

2013 ◽  
Vol 40 (6Part6) ◽  
pp. 146-146
Author(s):  
E Lee ◽  
F Pietz
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Emergency Response ◽  
Radiological Emergency ◽  
Radiological Emergency Response ◽  
Real Time Information ◽  
Time Information

An Automated Energy Conservation Decision Support System for Navy Gas Turbines

2010 ◽  
Author(s):  
Michael J. Roemer ◽  
Carl A. Palmer ◽  
Sudarshan P. Bharadwaj ◽  
Chris Savage
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Energy Conservation ◽  
Real Time ◽  
Fuel Consumption ◽  
Support System ◽  
Gas Turbines ◽  
Fuel Management ◽  
Real Time Information ◽  
Time Information

Energy conservation measures currently employed by U.S. Navy surface combatants require labor-intensive, time-consuming data entry from which fuel curves are generated to drive each ship’s propulsion plant machinery alignment. From these rudimentary curves optimal transit speeds, configurations, and refueling requirements are determined for specific operational demands and mission profiles. This paper describes an automated process for optimizing shipboard fuel consumption rates by integrating advanced diagnostic and maintenance optimization techniques with the onboard data information system. The automated energy conservation decision support system described herein addresses fossil fuel propulsion (gas turbines, steam turbines, and diesel engines), power generation and auxiliary systems. The software tool consists of diagnostic, fuel management, and maintenance modules. The diagnostic module tracks and trends the health state of components that use fuel (and their supporting systems) to provide real-time information on the impact of their current condition on fuel consumption. The fuel management module automates data collection and the generation of fuel curves through open-systems architecture communication with ICAS. It also enables planning by recommending an optimal machinery configuration to minimize fuel consumption based on either speed or time to destination constraints. Additionally, a fuel management module provides real-time information on fuel consumption and optimizes the load of each component based on its health condition, operating requirements and the number and condition of similar components. Finally, overall decision support comes from the maintenance management module that tracks the maintenance actions being performed on fuel consuming systems and recommends future maintenance to be performed (from a fuel conservation standpoint) based on current health information.

scholarly journals Intelligent and communicating real-time diagnostics for the fight against the Fire Compartments.

2018 ◽  
Vol 210 ◽  
pp. 05014
Author(s):  
B. Patte-Rouland ◽  
B. Betting ◽  
M. Lebey ◽  
E. Varea
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Emergency Response ◽  
Second Phase ◽  
Security Systems ◽  
Passive Safety Systems ◽  
Safety Systems ◽  
Real Time Information ◽  
Time Information ◽  
Numerical Approaches

This results aims to improve the effectiveness of security systems by optimizing the interaction between technological components and organizational and human intervention. Objectives are to determine the specific laws governing indoor fire phenomena by means of experimental full-scale and numerical approaches, to get real-time information about the fire during operations. A second phase consists in a transformation of the usual passive-safety systems into intelligent and communicating systems, thereby optimizing and securing the human and organizational emergency response. The dual competence numerical /experimental data is essential in this type of study since the experimental data suffer from a lack of resolution (spatial, temporal) but nevertheless represent information necessary for validating the codes.

scholarly journals Radiological emergency response for community agencies with cognitive task analysis, risk analysis, and decision support framework

Work ◽  
2012 ◽  
Vol 41 ◽  
pp. 2925-2932
Author(s):  
Travis S. Meyer ◽  
Joseph Z. Muething ◽  
Gustavo Amoras Souza Lima ◽  
Breno Raemy Rangel Torres ◽  
Trystyn Keia del Rosario ◽  
...  
Keyword(s):  
Decision Support ◽  
Risk Analysis ◽  
Emergency Response ◽  
Task Analysis ◽  
Cognitive Task ◽  
Cognitive Task Analysis ◽  
Radiological Emergency ◽  
Community Agencies ◽  
Decision Support Framework ◽  
Radiological Emergency Response

Improving Emergency Response Systems Through the Use of Intelligent Information Systems

2014 ◽  
Vol 10 (2) ◽  
pp. 37-55 ◽  
Author(s):  
Tagelsir Mohamed Gasmelseid
Keyword(s):  
Information Systems ◽  
Real Time ◽  
Emergency Response ◽  
Information Acquisition ◽  
Healthcare Organizations ◽  
Distributed Information ◽  
Response Information ◽  
Technological Developments ◽  
Real Time Information ◽  
Time Information

The shifts experienced in the environment of disaster operations and emergency response are reshaping the context of information acquisition and utilization in hospitals. In addition to the formulation of emergency response plans, healthcare organizations (especially hospitals) are being challenged by the growing need to maintain and share real time information necessary for the improvement of emergency response processes. Such information-related attention originates from many emergency-specific concerns including the limited focus of current emergency response information systems, decision limitations that challenge the formulation of decision support applications and the characterization of user requirements, the heterogeneity of emergency response information and the difficulty of integrating spatially distributed information sources. The increased attention in emergency response information also emerges from the recent technological developments (in terms of hardware, software functionalities, databases and telecommunication, among others) which significantly affected the processing, storage and retrieval of real time information. This paper focuses on the examination of the context of emergency response in Al Ahsaa area of Saudi Arabia and the applicability of multi-agent information systems through the proposal of an integrated architecture. Then it sheds light on the implementation concerns to ensure the contribution of the proposed architecture towards the engagement of stakeholders, the improvement of the availability and accessibility of emergency management information and the harmonization of emergency response operations. .

Real-time emergency response: improved management of real-time information during crisis situations

2013 ◽  
Vol 8 (2) ◽  
pp. 161-173 ◽  
Author(s):  
Jeffrey R. Blum ◽  
Alexander Eichhorn ◽  
Severin Smith ◽  
Michael Sterle-Contala ◽  
Jeremy R. Cooperstock
Keyword(s):  
Real Time ◽  
Emergency Response ◽  
Real Time Information ◽  
Time Information ◽  
Crisis Situations
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