Vehicle Event Data Integration for Overlapping Sensor Streams
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Solution Overview
Problem
Existing vehicle data management systems incur high calculation costs due to overlapping data events, leading to inefficient data transmission and processing.
Innovation Solution
A vehicle data management system that integrates overlapping data events into virtual instances, reducing redundant data transmission by creating and managing these instances in a server outside the vehicle, with a processor detecting patterns and integrating data based on sensor types and event overlaps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If overlapping data events are transmitted separately to the server, then complete event data is provided to the user, but calculation cost and communication cost increase due to redundant data transmission
Solution Approach 1:
The patent merges overlapping data events into a single integrated event instance. When multiple events overlap in time and share common data sources, they are combined into one virtual instance that contains only the necessary unique data, eliminating redundant transmissions while ensuring complete event information is available to users.
Solution Approach 2:
The virtual instance serves multiple functions: it represents multiple overlapping events simultaneously, acts as a single transmission unit to reduce communication overhead, and provides universal access to all relevant event data through the extraction unit that can separate individual event data when needed.
2Reliability
If overlapping data events are transmitted separately to the server, then complete event data is provided to the user, but communication cost increases due to redundant data transmission
Solution Approach 1:
The patent merges overlapping data events into a single integrated event instance. When multiple events overlap in time and share common data sources, they are combined into one virtual instance that contains only the necessary unique data, eliminating redundant transmissions while ensuring complete event information is available to users.
3Reliability
If multiple separate data transmissions are performed for overlapping events, then all event data is delivered, but data processing time increases
Solution Approach 1:
The vehicle-side processor performs preliminary integration of overlapping events into virtual instances before transmission. This pre-processing consolidates multiple events into single transmission units, reducing the number of data processing operations required at the server and accelerating overall data delivery time.
Data Source
AI summary
A vehicle data management system manages, in an external server, data acquired in a vehicle. When first and second events are detected from a plurality of kinds of time-series data, the type of time-series data from which the first event was detected and the type of time-series data from which the second event was detected overlap each other, and a first predetermined period including the first event and a second predetermined period including the second event at least partially overlap each other, the vehicle integrates first data related to the first event and second data related to the second event to generate integrated data, and transmits the integrated data and index data on the integrated data to the server. The server extracts the first and second data from the integrated data based on the index data and provides the first and second data to the user.


