Vehicle Control System Data Processing Priority and Frequency
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Solution Overview
Problem
Current vehicle control systems face inefficiencies in processing and managing local and remote data sources, leading to limitations in data processing speed and capabilities, particularly in managing multiple data sources effectively.
Innovation Solution
A system that integrates local and remote data processing by associating data with processing priority levels, varying processing frequency based on these levels, and using a cloud server to allocate vehicles into groups for efficient data transmission and filtration, reducing data volume and processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate control systems are used for local and remote data processing, then data processing capabilities are maintained, but system complexity increases and processing efficiency decreases
Solution Approach 1:
The patent merges local and remote data processing into a single integrated control system. The processing unit receives both local data from vehicle sensors and remote data from the cloud server, then processes them together through a unified arbitration mechanism. This eliminates the need for separate control systems and extra arbitration layers, thereby reducing system complexity while maintaining comprehensive data processing capabilities.
2Productivity
If all data is processed at the same frequency, then comprehensive processing is achieved, but processing time and computational resources are wasted
Solution Approach 1:
The patent implements dynamic processing frequency adjustment based on data priority levels. Critical safety-related data is processed at high frequency, while non-critical data is processed at lower frequencies. The processing unit varies the processing frequency according to the priority level associated with each data source, optimizing computational resource utilization and reducing overall processing time without compromising safety-critical responses.
3Adaptability or versatility
If multiple data sources are integrated, then control capabilities are enhanced, but data management complexity increases
Solution Approach 1:
The patent segments data management by assigning priority levels to different data sources and implementing category-based processing. Data from multiple sources is organized into distinct priority categories, with each category managed by specific processing rules. This segmentation approach allows the system to handle diverse data sources effectively while maintaining manageable complexity through structured organization and differentiated processing strategies.
Data Source
AI summary
Methods and systems are provided for receiving local data via a vehicle sensing module of a vehicle control system, receiving remote data via a cloud interface unit of the vehicle control system from a cloud server, and processing the local data and the remote data via a processing unit of the vehicle control system. Based on the processing of the local data and the remote data, at least one vehicle feature is controlled. The local data and the remote data are associated with processing priority levels. The processing unit varies a frequency of processing based on the processing priority levels. Further provided is a cloud server for transmitting remote data to a crowd of vehicles. The cloud server comprises a first module configured to allocate vehicles to a plurality of groups based at least on location data received from the vehicles. A second module of the cloud server is configured to determine different remote data for each group. A third module is configured to transmit the determined remote data to vehicles within each group.