Automated Aircraft De-icing Pad Management System
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Solution Overview
Problem
The aviation industry faces challenges in managing aircraft de-icing processes efficiently, particularly due to the limited number of de-icing bays compared to the number of aircraft requiring de-icing, leading to delays and inefficiencies.
Innovation Solution
A method and system for automating and configuring an aircraft de-icing pad facility, utilizing environment representative graphics, a central processing unit to direct aircraft through the de-icing process, and various technologies such as electronic message boards, airfield ground lighting, and positioning systems to guide pilots and manage aircraft traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the number of de-icing bays is kept low to reduce facility complexity and cost, then device complexity is reduced, but productivity decreases due to limited capacity to handle aircraft volume
Solution Approach 1:
The system performs preliminary actions by pre-positioning aircraft in virtual queues based on predicted de-icing needs, pre-coordinating de-icing bay availability, and proactively managing aircraft flow before congestion occurs. This allows the facility to handle higher aircraft volumes without proportionally increasing physical infrastructure.
Solution Approach 2:
The system implements dynamic queue management where aircraft are continuously repositioned and re-prioritized based on real-time conditions including weather changes, aircraft type, de-icing bay availability, and runway schedules. This dynamic optimization maximizes the utilization of limited de-icing bays.
2Ease of operation
If manual marshaling is used to manage aircraft queuing and guidance, then ease of operation is maintained through human judgment, but productivity decreases due to time-consuming manual processes
Solution Approach 1:
The system enables self-service by providing automated queue management, navigation guidance, and de-icing coordination that operates autonomously based on programmed rules and real-time data. Aircraft are automatically assigned to queues and guided through the process without requiring manual intervention for each decision point.
Solution Approach 2:
The system replaces manual marshaling operations with an automated computer-based control system that processes queue management, navigation instructions, and de-icing coordination electronically. This substitution dramatically increases processing speed while maintaining operational flexibility through programmable logic.
3Ease of operation
If de-icing services are provided without coordinated management, then ease of operation is simple, but productivity is reduced due to inefficient bay utilization and aircraft waiting time
Solution Approach 1:
The system implements continuous feedback loops where aircraft position, queue status, bay availability, and weather conditions are constantly monitored and fed back to the queue management algorithm. This real-time feedback enables dynamic adjustments to minimize aircraft waiting time and optimize bay utilization.
Solution Approach 2:
The queue management system serves multiple functions simultaneously: it manages aircraft queuing, coordinates navigation guidance, monitors weather conditions, tracks bay availability, and optimizes de-icing scheduling. This multi-functionality achieves coordinated management without adding operational complexity.
Data Source
AI summary
A method and system for automating de-icing procedures for aircraft including the transmission of messages and illumination of guidance lights for pilots to direct their aircraft for de-icing. The system further includes apparatus for generating a safety zone to provide further protection of damage or injury to personnel or aircraft or de-icing machinery.