Drone Mission Data Packaging for Uniform Inspection Analysis
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Solution Overview
Problem
Existing systems for autonomous and manual vehicle operations face challenges in data uniformity, integration of multiple tools and machine learning/computer vision models, and efficient data processing and analysis, leading to costly and time-consuming revaluation processes whenever system changes occur.
Innovation Solution
A drone data management system with flexible components that enables easy configuration, authorization, and management of autonomous/manual missions, incorporating a method for obtaining a workflow, generating a self-contained package with mission data, and analyzing this data to determine mission results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate tools are used to solve point problems in complex architectures, then specific functional requirements can be met, but integration efforts become extensive and system changes require costly revaluation of all components
Solution Approach 1:
The patent combines multiple separate data processing tools into a single unified data processing system that can handle diverse data types (images, video, sensor data) through modular processing modules. This integration eliminates the need for extensive coordination between separate tools while maintaining the ability to perform specialized functions through configurable modules.
Solution Approach 2:
The unified data processing system is designed with universal interfaces and standardized data formats that allow it to perform multiple functions through configuration rather than requiring separate specialized tools. The system can adapt to different data processing needs through its modular architecture, reducing integration complexity while maintaining versatility.
2Productivity
If automated analysis is implemented to process large amounts of captured images, then processing time is reduced, but lack of uniformity in data capture and processing methods creates inconsistencies
Solution Approach 1:
The system establishes uniform parameters and standardized data formats for capturing and processing data across all processing modules. By defining consistent parameters for data acquisition, storage, and analysis, the system maintains processing uniformity while enabling high-speed automated analysis through configurable processing pipelines.
3Reliability
If comprehensive data is collected during inspection missions, then analysis completeness is improved, but data management and processing time increase
Solution Approach 1:
The data processing system is segmented into specialized modular processing modules, each designed to handle specific types of data (image processing, video analysis, sensor data). This segmentation allows parallel processing of different data streams, maintaining comprehensive analysis while reducing overall processing time through concurrent operations.
Solution Approach 2:
The system performs preliminary data processing and filtering during data capture, preparing data in standardized formats before full analysis. This preliminary action reduces the computational burden during comprehensive analysis, enabling complete data processing without excessive time delays.
Data Source
AI summary
Methods, systems, and computer programs are presented for executing a mission by an autonomous device to inspect an asset. One method includes an operation for obtaining a workflow. The workflow includes operations to be executed during a mission to be performed by a robot and a destination for sending data resulting from the mission. The method further includes an operation for generating a package after completion of the mission associated with the workflow. The package is self-contained and comprises information obtained during the mission that enables generation of results. The package comprises sensor information collected by one or more sensors, telemetry information obtained by the robot, information about assets associated with the mission, software version identifier for the package generation, and routing information for transmitting the package to the destination. The method further includes an operation for analyzing the information of the package to determine results for the mission.