Motor Vehicle Ring Memory Campaign Design Within Fixed Capacity
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Solution Overview
Problem
Existing data collection systems in motor vehicles face challenges in optimizing the use of ring memory for heterogeneous data collection campaigns, as the memory is not arbitrarily expandable and requires predefined data to be collected without knowing the specific requirements of the campaign at the time of vehicle development.
Innovation Solution
A computer-implemented method determines the maximum storage capacity of the ring memory and selects relevant data based on predefined campaign goals, using user input and expert knowledge to define which data to collect, ensuring the memory is utilized optimally without exceeding its capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the ring memory is designed with a fixed maximum size during vehicle development, then the hardware design is simplified and reliable, but the memory cannot be expanded to accommodate different data collection campaign requirements
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple data collection campaigns during the vehicle development phase, each with predetermined data selection rules and storage parameters. This allows the system to adapt to different campaign requirements without requiring physical memory expansion, as the memory is already sized to handle the largest anticipated campaign. The campaigns are configured in advance with specific data types, sampling rates, and retention periods that match the fixed memory capacity.
Solution Approach 2:
The patent implements dynamics by making the data collection configuration flexible and changeable through software rather than hardware modifications. The system can dynamically switch between different predefined campaigns, adjusting which data are collected, how they are stored, and for how long, all within the constraints of the fixed memory size. This software-based adaptability resolves the contradiction by providing versatility without increasing hardware complexity.
2Quantity of substance
If all available data are collected and stored in the ring memory, then complete data for campaign analysis is achieved, but the memory capacity is exceeded
Solution Approach 1:
The patent applies the extraction principle by selectively removing and storing only the most relevant data for each specific campaign objective. Rather than collecting all available data, the system extracts and stores only those data elements that are necessary to achieve the predefined campaign aims. This is done through predetermined selection rules that filter the available data based on campaign-specific criteria, ensuring that the stored data quantity matches the memory capacity while maintaining analytical completeness.
Solution Approach 2:
The patent implements local quality by assigning different data collection and storage parameters to different campaigns based on their specific requirements. Each campaign has its own tailored data selection criteria, storage priority, and retention policy, allowing the system to optimize data quality for each campaign's purpose while staying within the fixed memory constraints. This means different portions of the memory are effectively allocated to different data types and campaigns based on their importance and analysis needs.
3Ease of manufacture
If the data collection campaign is predefined during vehicle development, then the data selection process is simplified, but the system cannot adapt to new campaign requirements
Solution Approach 1:
The patent applies universality by creating a platform architecture that supports multiple different data collection campaigns through a common set of tools and methods. The system is designed to handle various campaign types (safety critical, comfort, development) with unified data management procedures. This allows the same hardware and software infrastructure to serve multiple campaign purposes, making the system easy to manufacture while maintaining high adaptability to new campaign requirements through software configuration rather than hardware changes.
Data Source
AI summary
A computer-implemented method for designing a data collection campaign for a motor vehicle. The method includes determining a maximum storage capacity of a ring memory of a motor vehicle; determining information needed to achieve a predefined objective of the data collection campaign; determining data present in the motor vehicle; selecting the data to be stored in the ring memory via the data collection campaign from the data present in the motor vehicle based on the maximum storage capacity of the ring memory and the information needed to achieve the predefined objective of the data collection campaign; and defining the data collection campaign based on the selected data to be stored in the ring memory by means of the data collection campaign.