Transport Display Data Prioritization for Critical Condition Alerts
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Solution Overview
Problem
Existing transportation systems lack timely attention to critical performance values, with important data often not being prominently displayed, leading to potential safety and performance issues.
Innovation Solution
A method and system that prioritize and visually enhance the display of critical data related to transportation performance, altering its presentation based on worsening conditions, using a processor and memory to identify and highlight significant data on a transport's display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all transportation performance data is displayed equally on the display, then complete information is provided to occupants, but critical data does not gain timely attention
Solution Approach 1:
The patent applies local quality by making different parts of the displayed information have different visual properties. Critical data elements are highlighted with increased prominence, different colors, or larger font sizes compared to non-critical data, allowing occupants to quickly identify important information without processing the entire display uniformly.
Solution Approach 2:
The patent utilizes color changes to indicate the significance of different data elements. Critical transportation performance data is displayed using distinctive colors or color intensities that draw immediate attention, while less important data uses standard or muted colors, enabling rapid visual prioritization.
2Reliability
If critical data is highlighted prominently on the display, then timely attention is gained, but the display complexity increases
Solution Approach 1:
The patent applies dynamics by making the display system adaptive rather than static. The display automatically adjusts the prominence of different data elements based on real-time assessment of their criticality to safety and performance, allowing the system to maintain high reliability while managing complexity through automated decision-making algorithms.
Solution Approach 2:
The display system performs self-service by automatically identifying and prioritizing critical data elements without requiring manual configuration. The system monitors transportation performance parameters and autonomously determines which data should be highlighted, reducing the complexity burden on users while maintaining high safety monitoring standards.
3Reliability
If data presentation is altered based on worsening performance, then occupants are alerted to critical conditions, but the information processing complexity increases
Solution Approach 1:
The patent implements feedback by continuously monitoring transportation performance data and using this information to dynamically adjust data presentation. When performance parameters indicate worsening conditions, the system automatically alters the prominence and visualization of relevant data elements, creating a closed-loop system that enhances reliability through real-time adaptive response.
Solution Approach 2:
The system performs preliminary action by pre-establishing rules and thresholds for when data should be highlighted. Rather than requiring complex real-time analysis of every possible condition, the system has pre-configured criteria for criticality assessment, allowing it to rapidly respond to worsening performance while managing processing complexity through predetermined decision frameworks.
Data Source
AI summary
An example operation includes one or more of causing data, related to a performance of a transport, that is most significant to gain prominence on a display of a transport, and visually altering the data based on a worsening of the performance.