Classification Yard Event Replay Visualization for Incident Analysis
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Solution Overview
Problem
Current classification yard systems face challenges in effectively analyzing and leveraging the large volumes of event data generated during operations, which complicates understanding and responding to events such as derailments or collisions, due to the complexity and size of event logs.
Innovation Solution
A system is provided that visualizes and replays event data in a graphical user interface, overlaying event messages onto a graphical representation of the classification yard components, allowing for contextual analysis and improved operational control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If event data is collected and stored in event logs during classification yard operations, then operational information is captured for analysis, but the complexity and size of event logs makes understanding and responding to events difficult
Solution Approach 1:
The patent creates visual replicas of event data in the form of graphical icons that represent different types of events (derivations, collisions, stalls) at their corresponding spatial locations in the classification yard. These visual copies replace the need to interpret raw text-based event logs, transforming abstract data into intuitive visual representations that maintain all operational information while eliminating complexity.
Solution Approach 2:
The patent transitions event data from a one-dimensional text-based log structure to a two-dimensional spatial visualization displayed on a graphical user interface. Events are positioned according to their actual locations in the classification yard, and temporal sequences are represented through animated replay capabilities. This dimensional transformation makes the data intuitively understandable while preserving complete operational information.
2Reliability
If detailed event data is recorded for safety analysis, then operational safety can be improved, but the large volume of data complicates understanding and response to incidents
Solution Approach 1:
The patent uses different colored icons to represent different types of events and their severity levels. For example, critical events like collisions may be represented by red icons, while less severe events use different colors. This color-coding system allows operators to quickly assess the nature and urgency of events without reading detailed data, maintaining safety monitoring while dramatically improving ease of understanding.
Solution Approach 2:
The patent divides the classification yard into discrete spatial zones and represents events as individual icons at specific locations. Each event is segmented as a separate visual element that can be independently analyzed. This segmentation allows operators to focus on specific incidents without being overwhelmed by the entire dataset, improving both safety analysis and operational ease.
3Difficulty of detecting and measuring
If comprehensive event monitoring is implemented, then operational issues can be detected, but analyzing the large volumes of generated data becomes challenging
Solution Approach 1:
The patent pre-processes event data during collection, organizing it into a structured format with predefined icon representations and spatial coordinates. This preliminary organization occurs automatically as events are generated, so when analysis is needed, the data is already prepared for rapid visualization. This eliminates the need for time-consuming data processing during incident response while maintaining comprehensive detection capabilities.
Solution Approach 2:
The patent replaces manual data analysis methods with an automated computer-based visualization system. The system automatically generates, positions, and displays visual icons representing events without human intervention. This substitution of mechanical/manual analysis with automated computational processing dramatically reduces analysis time while preserving comprehensive event detection, as the system can process and visualize all events simultaneously rather than sequentially.
Data Source
AI summary
Methods and systems for visualizing event data associated with operations of a classification yard and replaying the visualized event data in a graphical user interface. In embodiments, graphical representation of the classification yard, including its components (e.g., devices and track segments) is generated. A set of event messages is extracted from an event log, and analyzed to determine a component associated with each event message. A visual representation is generated for each event message in the set of event messages and overlaid onto the graphical representation of the component to which the event message is associated. The overlaid visual representations are replayed in a sequence according to timestamps of the visualized event messages.