Avionic System for Fleet Emergency Interception
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Solution Overview
Problem
Current systems lack an automated and effective means to manage and mitigate the financial risks associated with flight cancellations due to natural disasters, terroristic activities, and other unforeseen events, which can lead to significant operational disruptions and financial losses for aircraft fleets and airlines, with no existing non-damage coverage systems available to provide relief without physical damage.
Innovation Solution
An avionic system that includes a central processing unit linked to ground stations via a communication network, utilizing a hash table to store operational parameters of airports and dynamically activating a failure deployment device when a threshold of airport closures is reached, triggering an automated damage covering system to provide interruption cover for affected aircraft fleets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated damage covering systems are implemented to provide interruption cover during airport closures, then financial relief and operational continuity are improved, but system complexity and implementation costs increase
Solution Approach 1:
The system pre-estimates damage amounts and pre-activates damage covering before actual financial loss occurs. When airport closure is detected, the central processing unit calculates expected damages based on historical data and flight schedules, then automatically activates insurance coverage or financial compensation mechanisms in advance, ensuring immediate operational continuity without waiting for formal damage assessment
Solution Approach 2:
The automated damage covering system operates autonomously without human intervention. The central processing unit continuously monitors airport status via communication networks, automatically detects closures, calculates damages using pre-programmed algorithms, and triggers compensation payments or insurance claims automatically, eliminating the need for manual claims processing and reducing system complexity despite automated functions
2Measurement precision
If dynamic stack incrementing with time interval parameters is used to trigger failure deployment, then response accuracy and timeliness are improved, but computational requirements and processing complexity increase
Solution Approach 1:
Time interval parameters are pre-calculated and stored in the system before airport closures occur. The central processing unit maintains a stack of time intervals for different airport closure scenarios based on historical data and flight schedules, allowing immediate comparison with actual closure durations without real-time computation, thus achieving precise response timing with minimal processing complexity
Solution Approach 2:
The damage covering trigger mechanism is segmented into discrete time interval thresholds. Instead of continuous complex calculations, the system divides closure durations into predefined time segments (e.g., 0-24 hours, 24-72 hours, 72+ hours), each with predetermined compensation levels and response actions, simplifying the triggering logic while maintaining measurement precision
3Speed
If hash tables with operational parameters are used to store airport data, then data retrieval efficiency is improved, but memory requirements and data structure complexity increase
Solution Approach 1:
Airport operational parameters are segmented into discrete hashable keys (airport codes, closure reasons, time intervals) with corresponding value pairs. This allows O(1) average time complexity for data retrieval while keeping the data structure simple and manageable, as each airport's parameters are stored as independent hash table entries rather than complex nested structures
4Loss of time
If automated failure deployment devices are activated based on threshold increments, then operational response time is improved, but system sensitivity and false trigger risk increase
Solution Approach 1:
The system uses partial activation of damage covering based on incremental threshold crossing. Instead of triggering full compensation immediately, the system activates coverage proportionally as the stack increment reaches predefined thresholds (e.g., 25%, 50%, 75%, 100% of expected damage), reducing false trigger impact while maintaining rapid response time for genuine closures
Data Source
AI summary
An avionic system including: a memory that stores a selectable hash table assigned to a flight plan of an aircraft fleet, the hash table including table elements with operational parameters of an airport, wherein airports covered by the table elements are airports flown to according the fight plan of the aircraft fleet; and a plurality of ground stations situated at the flown to airports of the fight plan, wherein the ground stations are linked via a communication network to a central processing unit; a receiver of the central processing unit that receives, via a communication network interface, a transmission from a detection device, the transmission including at least parameters regarding a time interval parameter of an airport closing and an airport identification.