Cloud-Connected Drone Inspection With Real-Time Adaptive Control
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Solution Overview
Problem
Human inspections of assets and facilities are often hazardous, laborious, and limited by human expertise, while conventional unmanned systems lack real-time data analysis and adaptive capabilities.
Innovation Solution
A system with cloud-based connectivity enables unmanned vehicles to receive real-time data and command/control operations through cellular networks, utilizing extended computational power for real-time data processing and machine learning, allowing for secure and adaptive mission execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human surveyors perform inspections, then detailed analysis can be completed, but the inspection becomes hazardous and limited by human accessibility
Solution Approach 1:
The drone performs inspections autonomously without requiring human surveyors to physically access hazardous areas. The unmanned system independently navigates, captures data, and transmits information, eliminating human exposure to harmful environmental factors while maintaining inspection quality through advanced sensors and cloud-based analysis.
2Measurement precision
If human surveyors perform inspections, then detailed analysis can be completed, but the inspection becomes laborious and time-consuming
Solution Approach 1:
The patent replaces the mechanical human inspection process with an automated drone system equipped with sensors, cameras, and cloud connectivity. This substitution eliminates manual labor while enhancing productivity through continuous operation capability, automated data collection, and real-time cloud processing that can analyze inspection data faster than human surveyors.
3Object-affected harmful factors
If conventional unmanned systems are used, then hazardous conditions are avoided, but real-time data analysis and adaptive response capabilities are limited
Solution Approach 1:
The drone system incorporates real-time feedback loops where inspection data is continuously transmitted to cloud servers for immediate analysis. The system adapts its operations based on cloud-generated insights, adjusting flight paths, inspection parameters, and data collection strategies dynamically. This feedback mechanism provides the conventional unmanned system with adaptive response capabilities that were previously unavailable.
4Productivity
If cloud-based connectivity is implemented, then real-time data processing capability is enhanced, but system complexity increases
Solution Approach 1:
The patent introduces a cloud server as an intermediary between the drone and end users. This intermediary handles the complex tasks of real-time data processing, analysis, and generation of actionable insights, while the drone itself maintains a relatively simple architecture focused on data collection and transmission. The cloud intermediary absorbs the computational complexity, allowing the drone to remain operationally simple while achieving enhanced processing capabilities.
Data Source
AI summary
Aspects of the current subject matter relate to enhanced operation services provided by an unmanned vehicle with cloud-based connectivity for real-time exchange of data and command/control operations. Data collected during a mission for an operation service, such as a particular inspection activity, is transmitted in real-time to a server for analysis to provide real-time or near real-time feedback in the form of command and/or control signals to the unmanned vehicle to improve the operation service while it is being carried out. The collected data is also used for simulations and to create historical content for future operation services.