Vehicle Data Indexing With Split Update Cycles for Digital Twins
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Solution Overview
Problem
The existing systems for managing vehicle data in digital twin simulations face increased calculation loads due to frequent updates of both rapidly changing and slowly changing data, which can lead to inefficient data processing and communication overhead.
Innovation Solution
A system comprising in-vehicle devices and a central management center that stores and transmits vehicle data in separate cycles, where rapidly changing data is transmitted frequently and slowly changing data is updated less frequently, allowing for asynchronous index updates to reduce calculation loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle data is transmitted and updated frequently to maintain data accuracy, then measurement precision is improved, but calculation load increases
Solution Approach 1:
The patent segments vehicle data into two categories: rapidly changing data (first vehicle data) and slowly changing data (second vehicle data). This segmentation allows different update frequencies for different data types, maintaining accuracy for critical data while reducing unnecessary updates for stable data, thereby lowering overall calculation load on the central management center.
Solution Approach 2:
The patent implements periodic action by transmitting rapidly changing data in a first cycle and slowly changing data in a second cycle. This periodic transmission strategy ensures that critical data is updated frequently while less critical data is updated less often, optimizing the balance between data accuracy and calculation load.
2Reliability
If all vehicle data is updated in the same cycle to maintain data consistency, then reliability is improved, but productivity deteriorates
Solution Approach 1:
The patent segments the update process into two independent cycles: a first cycle for rapidly changing data and a second cycle for slowly changing data. This segmentation allows each cycle to operate independently without requiring synchronization, improving data processing efficiency while maintaining consistency within each data category.
Solution Approach 2:
The patent applies dynamics by allowing the update cycles to be flexible and independent rather than rigid and synchronized. The first cycle and second cycle can operate at different frequencies and timings, adapting to the specific characteristics of different data types, thereby enhancing overall system productivity.
3Measurement precision
If data transmission frequency is increased to capture real-time vehicle states, then measurement precision is improved, but loss of energy increases
Solution Approach 1:
The patent segments data transmission into two categories with different frequencies: rapidly changing data transmitted in a first cycle and slowly changing data transmitted in a second cycle. This segmentation reduces unnecessary communication for stable data, lowering energy consumption while maintaining real-time capture capability for critical parameters.
Solution Approach 2:
The patent implements periodic action with two distinct transmission cycles optimized for different data types. This periodic strategy ensures that energy is consumed efficiently by transmitting data only when necessary, reducing communication overhead while maintaining measurement precision for rapidly changing parameters.
Data Source
AI summary
A system includes multiple in-vehicle devices individually mounted on multiple vehicles and a center capable of performing data communication with the multiple in-vehicle devices. Each in-vehicle device transmits vehicle data related to another vehicle device to the center in a first cycle. The center is configured to: store, in a second storage unit, the vehicle data sequentially transmitted from each in-vehicle device; store, in a third storage unit, an index that includes information associated with the vehicle data stored in the second storage unit; perform a first update by adding the received vehicle data to the vehicle data stored in the second storage unit; and perform a second update by adding the index stored in the third storage unit in association with latest one of the vehicle data stored in the second storage unit in a second cycle.