Data Load Supervisor for Automotive Network Overload Management
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Solution Overview
Problem
Existing network architectures for automotive systems face challenges in handling dynamic and large data loads, leading to safety and security concerns, as they often exceed the specifications of vehicle components, and lack effective mechanisms for warning drivers and recording data load information for optimization.
Innovation Solution
A data load supervisor is integrated to monitor and manage data loads for vehicle components, providing load data analysis to determine if the system can handle the load, identifying security issues, and generating warnings or accommodations to prevent exceeding component thresholds, with the ability to store data for optimizing system settings and future designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing network architectures are used to support vehicle control systems, then basic communication functionality is maintained, but the system cannot handle large and dynamic data loads that exceed component specifications
Solution Approach 1:
The data load supervisor continuously monitors data loads before they exceed component specifications and takes preventive actions by generating warning messages to drivers and recording load information for optimization, preventing overload conditions before they occur
Solution Approach 2:
The system implements continuous feedback by monitoring data loads in real-time, comparing them against component specifications, and providing feedback through warning messages to drivers and recorded information for system optimization, creating a closed-loop control mechanism
2Productivity
If high-bandwidth network architectures like Ethernet-based networks are deployed, then data transmission capacity is increased, but data loads continue to increase dynamically and exceed component specifications
Solution Approach 1:
The data load supervisor acts as an intermediary between the high-bandwidth network architecture and the vehicle components, monitoring data loads and managing the interface between network capacity and component handling capabilities to prevent overload
Solution Approach 2:
The system dynamically adapts to changing data loads by continuously monitoring load conditions and adjusting system responses in real-time, allowing the vehicle network to handle dynamic data demands while protecting components from overload
3Device complexity
If no data load monitoring mechanism is implemented, then system complexity is reduced, but warning messages cannot be provided to drivers and data load information cannot be recorded for optimization
Solution Approach 1:
The data load supervisor enables the system to self-monitor and self-report data load conditions, automatically generating warning messages and recording load information without external intervention, making the system self-aware of its operational state
Data Source
AI summary
The disclosure includes implementations for supervising a data load for a vehicle. The method may include receiving report data that may describe a data load for the supervised component. The method may include retrieving specification data for the supervised component that describes a threshold for the data load. The method may include performing an analysis of the data load to determine whether the data load exceeds the threshold. The method may include providing graphical data to an electronic display panel to cause the electronic display panel to display a message responsive to the analysis indicating that the data load exceeds the threshold. The method may include providing an accommodation to the supervised component so that the data load does not exceed the threshold, where the accommodation includes stopping an operation of a device of the vehicle.