Remote Profile Manager for Vehicle Data Synchronization
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Solution Overview
Problem
Existing technologies lack an efficient method for collecting, processing, and interpreting data from various sources to optimize vehicle operations and compliance with regulations.
Innovation Solution
A system utilizing a remote profile manager that combines on-vehicle and off-vehicle data sources, including databases and cloud services, to produce dynamic, temporal combinations of data elements and instructions for vehicles, synchronizing timing and forming a coherent information picture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from multiple on-vehicle and off-vehicle sources is collected and combined, then the completeness and coherence of the information picture is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments data collection and processing into distinct functional modules: an assigning authority engine that manages data requests, a remote profile manager that handles data retrieval from multiple sources, and a data fusion component that integrates information. This segmentation allows complex multi-source data collection to be managed through specialized, independent components, reducing overall system complexity while maintaining information completeness.
Solution Approach 2:
The patent introduces intermediary components including a remote profile manager that acts as a mediator between the assigning authority and multiple data sources (databases, cloud services, sensors). This intermediary layer abstracts the complexity of accessing diverse data sources, providing a unified interface that simplifies the system architecture while enabling comprehensive data collection from on-vehicle and off-vehicle sources.
2Productivity
If dynamic, temporal combinations of data elements are produced and executed, then the operational efficiency and compliance are improved, but the computational processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-fetching and caching data from multiple sources before it is needed for decision-making. The remote profile manager proactively retrieves data elements from databases and cloud services, and the assigning authority pre-processes compliance rules and operational parameters. This preliminary processing reduces real-time computational requirements while enabling efficient dynamic data combinations when needed for vehicle operations.
3Stability of the object's composition
If timing synchronization between multiple data sources is implemented, then the coherence of the information picture is improved, but the system complexity and coordination requirements increase
Solution Approach 1:
The patent implements feedback mechanisms where the assigning authority continuously monitors data timing and synchronization status from multiple sources. When timing drift or desynchronization is detected, the system adjusts data retrieval and processing timing dynamically. The remote profile manager uses feedback from data source performance metrics to optimize query timing and data fusion scheduling, maintaining information coherence without requiring complex manual coordination.
Data Source
AI summary
A system and method for utilizing data and computational information from on-vehicle and off-vehicle sources. The system comprises an assigning authority engine, a remote profile manager toolset, a plurality of databases, a plurality of cloud sources, a vehicle and a CVD within the vehicle. The dynamic, temporal combinations access data from the plurality of cloud sources comprising third party data and vehicle, timing, event, and/or positioning (“VTEP”) data to inform a plurality of instruction sets delivered by the assigning authority. One or more elements of the VTEP data is used as the basis to synchronize timing between the data, or computational outputs of two or more sources of electronic information. A single coherent information picture is generated from fusing data and computational information from the on-vehicle sources and the off-vehicle sources.