Aircraft Ramp Tracking Using Machine Vision and Multi-Source Data
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Solution Overview
Problem
Current methods for tracking aircraft traffic on a ramp are inadequate, necessitating a system capable of accurately tracking aircraft positions and utilization of various locations.
Innovation Solution
A system comprising a processor and memory that receives location data, pecuniary rates, and determines pecuniary data, communicating this information to user devices, utilizing various data sources such as machine vision, automatic broadcasts, Wi-Fi, and electric aircraft charging systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current tracking methods are used, then the system is simple to operate, but the tracking precision and location accuracy are insufficient
Solution Approach 1:
The patent combines multiple data sources (machine vision systems, automatic broadcast systems, Wi-Fi tracking, and charging system data) into a unified aircraft tracking system. This integration allows the system to achieve high tracking precision by cross-validating location information from multiple independent sources, thereby resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The tracking system is designed to perform multiple functions simultaneously: it tracks aircraft location, determines utilization of ramp locations, calculates pecuniary data, and provides data to multiple user devices. This multi-functionality approach allows a single complex system to address various operational needs, improving measurement precision across different tracking requirements.
2Reliability
If multiple data sources are integrated, then the tracking accuracy improves, but the device complexity increases
Solution Approach 1:
The patent introduces a central processing system that acts as an intermediary between multiple data sources (machine vision, automatic broadcast, Wi-Fi, charging systems) and the tracking functionality. This intermediary processor receives, integrates, and reconciles data from various sources, improving tracking reliability while managing system complexity through centralized coordination rather than distributed complexity.
3Productivity
If manual tracking methods are used, then the operation is simple, but the productivity and monitoring capability are insufficient
Solution Approach 1:
The system implements self-service automation where aircraft automatically broadcast their location data, charging systems automatically report their status, and the processing system automatically calculates utilization and pecuniary data without manual intervention. This automation dramatically improves productivity and monitoring capability while reducing the need for manual tracking operations.
Solution Approach 2:
The patent establishes feedback loops where the tracking system continuously receives location data, processes it to determine aircraft utilization, calculates pecuniary information, and communicates results back to user devices. This automated feedback mechanism enables real-time monitoring and improves operational efficiency by providing continuous, up-to-date information without manual input.
Data Source
AI summary
Disclosed herein are systems and methods for tracking an aircraft on a ramp. A system may receive a location datum and display the location datum to a user device. A location datum may include a machine vision datum.