Mobile Platform Operation Data Synchronization for Faster Troubleshooting
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Solution Overview
Problem
Conventional methods for analyzing the operation of mobile platforms, such as unmanned aerial vehicles (UAVs), are time-consuming, require specialized expertise, and provide limited valuable information for troubleshooting, making them inefficient for diagnosing issues and improving platform performance.
Innovation Solution
A system and method for presenting operational information by collecting and integrating diagnostic data and travel route data, including gimbal data, battery levels, remote control commands, and GPS data, for real-time presentation, enabling efficient user-friendly analysis and remote control of mobile platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to analyze mobile platform operations, then specialized expertise is required and limited information is provided, but the analysis becomes time-consuming and inefficient
Solution Approach 1:
The patent segments operational information into multiple data dimensions including travel route data, diagnostic data, gimbal data, battery data, and remote control data. Each data type is collected and processed separately then integrated through synchronization, allowing efficient analysis of specific problem areas without requiring comprehensive manual review of all operations.
Solution Approach 2:
The patent introduces a data integration and synchronization mechanism that acts as an intermediary between raw operational data and analysis results. This intermediary process automatically correlates timestamps, synchronizes multiple data streams, and presents integrated information, eliminating the need for specialists to manually correlate data from multiple sources.
2Reliability
If comprehensive diagnostic data is collected from multiple sources, then troubleshooting capability is improved, but data integration complexity increases
Solution Approach 1:
The patent creates a universal data integration framework that handles multiple data types (travel route, diagnostic, gimbal, battery, remote control) through a single synchronization mechanism based on timestamps. This multi-functional approach allows the same integration process to work with diverse data sources, reducing overall system complexity despite the variety of inputs.
Solution Approach 2:
The patent transforms heterogeneous data from multiple sources into a unified format by using timestamps as a common parameter for synchronization. All diagnostic data, travel route data, and control data are correlated through their temporal parameters, allowing complex multi-source data to be integrated through a simple time-based alignment process.
3Ease of operation
If real-time operational data is presented to users, then user-friendly analysis is achieved, but data processing requirements increase
Solution Approach 1:
The patent performs preliminary data processing by collecting and synchronizing all operational data during the flight operation itself, using timestamps to pre-correlate information from multiple sources. This preliminary action ensures that when users need analysis, the data is already integrated and ready for presentation, reducing the processing power needed at the moment of user interaction.
Data Source
AI summary
A method for presenting operational information of a mobile platform includes collecting diagnostic data and travel route data associated with an operation of the mobile platform, and integrating the travel route data with the diagnostic data for presentation. The diagnostic data includes at least one of platform diagnostic data or remote control data. The remote control data is generated by a remote controller associated with the mobile platform or generated by a computer device.