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<span class=boldredlarge><center><font size="4">Early Warning System Prototype: For NASA</font></center></span>
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The DecisionBlocks™ Early Warning System prototype was developed for NASA based on discussions about a software system they were designing for the Space Shuttle and Space Station. This early prototype was developed to show NASA how DecisionBlocks could accommodate their decision-support logic and data interchange needs; it did not focus on the user interface. Although not a commercial product, this prototype is being discussed since its intelligent software architecture can be built into other DecisionBlocks products.
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The Early Warning System prototype has the following capabilities:
<ul><li>Receives operational data from multiple sources. In the prototype, data are sent from people in three different units (life support, fuel systems, and space station crew). The data includes five measures from each unit simulating readings from console meters, as well as human observations of anomalous events. In an actual version of the software, data could be obtained simultaneously from many people, unmanned computers, monitoring devices, databases, and document repositories. Depending on the time critical nature of the data, some data can be sent from users via encrypted e-mail (or other means), while other data would be acquired automatically via scheduled or incident-triggered unmanned methods.</li><br><br>
<li>Identifies anomalies. Once received, the demo's software integrates and analyzes the data and uses a Criterion Table to determine if the console meter readings are outside acceptable ranges (are anomalous). This table contains the upper and lower acceptable limit of each meter. All anomalies are identified and the amount they deviate from acceptable limits is calculated.</li><br><br>
<li>Uses rules logic. If any anomalous meter readings are found, and/or if there are any human observations of anomalous events, the software uses a second table - the Rules Table - which contains series of rules indicating the anomalous data (both meter and observations) occurring within a specific time period that signal a likely problem. The Rules Table also contains (a) indications of what problems are likely to be (i.e., what the anomalies mean) and (b) recommended courses of action. In a commercial version, the software could use any rules logic required to monitor and evaluate scenarios on a continuous basis, and to inform all authorized parties of recommended action as soon as threats or problem are identified. And if a problem exists for which no anomalous data has been reported, there would be a rule that notifies key people of the occurrence so it can be examined to uncover missed signals.</li><br><br>
<li>Generates reports and disseminates critical information. When problems are found, the prototype generates a report specifying the anomalies, what they probably mean, and recommends what could be done. It also displays a time-line chart showing the degree of deviation of each anomaly is also included. Any anomalies not part of existing rules are also reported so they are not ignored. In a commercial version, there will be a hyper-efficient means for disseminating the information each person needs to (a) make them immediately aware of the (potential) problem to focus their attention on critical events; (b) take rapid corrective action using existing guidelines; (c) investigate the situation to uncover other pertinent information; and (d) report their observations and actions immediately to everyone else who needs to know. In other words, the reports will provide proactive information that helps prevent potential problems before they occur, as well as reactive information for resolving existing problems. The software will also provide an efficient method for examining the outcomes of actions taken and for determining the validity of existing rules.</li><br><br>
<li>Provides explication and feedback via virtual conferencing system. The prototype enables users to give feedback about how they handled each problematic situation and/or explain their interpretation and recommendations about the problem. It also allows them to discuss what they think about any anomalies not part of existing rules. In a commercial version, this would be part of a virtual conferencing system supporting teams making collaborative decisions.</li></ul>
Click the link below to view screenshots of the NASA Early Warning System prototype.<br><br>
<center><a href="apps/nasa/earlywarn_demo_main.htm"><img src="decisionblocks_folder/screenshots.gif" alt="Screenshots"><b><big> View Screenshots</big></b></a> </center>
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