UAV Mission Cue Control for Adaptive Flight and Data Capture

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Solution Overview

Problem

Unmanned aerial vehicles (UAVs) face challenges in dynamically adjusting data gathering operations based on environmental cues during missions, leading to inefficient data collection and storage, as existing systems lack the ability to adaptively respond to changing mission requirements and environmental conditions.

Innovation Solution

The implementation of an unmanned aerial vehicle system equipped with processors that execute pre-defined travel and data acquisition instructions, allowing for the detection of mission cues such as pre-defined image and sensor data characteristics, enabling the UAV to interrupt and adjust its flight path and data collection operations to perform sub-missions based on detected cues.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If the UAV continuously collects and stores large amounts of data during the mission, then the data coverage is comprehensive, but the storage capacity is exceeded and transmission efficiency is reduced

Engineering Contradiction:
Improvedata volumeVSAvoidtransmission efficiency
Core Design Contradiction:
Quantity of substanceVSLoss of energy

Solution Approach 1:

The system extracts only the relevant data that meets predefined criteria from the large volume of collected data. The processor identifies and selects specific data points matching mission cues, extracting only necessary information for storage and transmission, thereby reducing overall data volume while maintaining data quality

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies different data collection strategies to different spatial and temporal regions. High-data collection modes are activated only in areas or time periods where mission cues are detected, while low-data modes are used elsewhere, creating locally optimized data quality rather than uniform collection

Inventive Principle:
Principle #3Local quality

2Stability of the object's composition

If the UAV follows a pre-defined flight path, then the mission structure is organized, but the ability to respond to environmental changes is reduced

Engineering Contradiction:
Improvemission structureVSAvoidresponse to environmental changes
Core Design Contradiction:
Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The flight path transitions from a static pre-defined trajectory to a dynamic route that adapts in real-time. The processor continuously monitors sensor data for mission cues and dynamically modifies flight parameters including path, altitude, and speed, allowing the mission structure to evolve based on environmental conditions while maintaining overall mission objectives

Inventive Principle:
Principle #15Dynamics

3Quantity of substance

If the UAV collects data at a high rate throughout the mission, then the data completeness is improved, but the energy consumption and storage requirements increase

Engineering Contradiction:
Improvedata completenessVSAvoidenergy consumption
Core Design Contradiction:
Quantity of substanceVSUse of energy by moving object

Solution Approach 1:

The data collection operates in periodic cycles rather than continuously. The system alternates between active data collection phases when mission cues are present and inactive phases when cues are absent, creating a rhythmic pattern of high and low data collection rates that reduces overall energy consumption while capturing essential information

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS11798426B2Autonomous mission action alteration
Publication Date: 2023.10.24 FIRMATEK SOFTWARE LLC
  • US11798426B2 patent drawing
  • US11798426B2 patent drawing
  • US11798426B2 patent drawing

AI summary

An unmanned aerial vehicle includes a camera, one or more sensors, memory storing first instructions that define an overall mission, and memory storing one or more mission cues. The vehicle further includes one or more processors configured to execute a first part of the first instructions to perform a first part of the overall mission. The processors are configured to process at least one of the image data and the sensor data to detect a presence of at least one of the mission cues. The processors are configured to, in response to detecting a mission cue, interrupting execution of the first instructions and executing second instructions to control the unmanned aerial vehicle to perform a first sub-mission of the overall mission. The processors are configured to after executing the second instructions, performing a second part of the overall mission by executing a second part of the first instructions.