Event-Driven Vehicle Data Collection Policy
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Solution Overview
Problem
Current aircraft data processing systems rely on predefined data sets that may not capture transient data, leading to loss of crucial information for analysis, as operators manually request additional data, which can be time-consuming and inefficient, especially when dealing with transient conditions like turbulence events.
Innovation Solution
A computer-implemented method and apparatus that automatically monitors aircraft events over a wireless interface, using a policy to determine the need for additional data and requesting it promptly to prevent loss, ensuring consistent and timely data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If predefined data sets are used for aircraft monitoring, then data collection is simplified and systematic, but transient data may be lost and crucial information for analysis may not be captured
Solution Approach 1:
The system performs preliminary actions by establishing event-driven triggers and policies before transient events occur. When an event is detected (such as turbulence), the system is already configured to automatically request additional relevant data, ensuring transient information is captured before it disappears.
Solution Approach 2:
The system implements feedback mechanisms where event detection triggers automatic data requests. The policy-based approach creates a closed loop: events are monitored, data needs are determined through policy evaluation, additional data is requested, and this feedback ensures comprehensive data collection without manual intervention.
2Loss of information
If operators manually request additional data for events, then data needs can be addressed, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs self-service by automatically monitoring events and determining data needs through policy-based logic. When an event occurs, the system autonomously evaluates what additional data is required and requests it without waiting for operator intervention, thereby eliminating delays while ensuring data completeness.
Solution Approach 2:
The patent replaces the manual mechanical process of operator data requests with an automated electronic system. The policy-based automatic determination mechanism substitutes human operators, enabling instantaneous data requests in response to events, thus eliminating the time loss associated with manual processes.
3Device complexity
If fixed data sets are downloaded from aircraft, then system implementation is straightforward, but the data does not change with the context of the situation aboard the aircraft
Solution Approach 1:
The system transitions from static fixed data sets to dynamic context-aware data collection. Policies are configured to adaptively determine which additional data to request based on the specific event type and contextual factors, allowing the data collection process to dynamically adjust to situational needs while maintaining systematic implementation.
Solution Approach 2:
The system changes parameters by using policy-based logic to dynamically select data request parameters based on event context. Instead of downloading the same fixed data set regardless of situation, the system modifies data selection parameters according to the specific event and contextual conditions, achieving versatility without excessive complexity.
Data Source
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AI summary
A computer implemented apparatus, and computer usable program code for automatically obtaining vehicle data. In one advantageous embodiment a computer implemented method monitors a vehicle for events over a wireless interface. In response to receiving an event sent over the wireless interface by the vehicle, a determination is made whether vehicle data is needed for the event based on a policy. A request for the vehicle data is sent over the wireless interface to the vehicle in response to a determination that vehicle data is needed. The vehicle data is stored in response to receiving the vehicle data over the wireless interface from the vehicle. The vehicle data stored after receiving the vehicle data from the vehicle is analyzed to form an analysis. A set of fault conditions may be identified using the analysis.