Driving Data Recorder Memory Segmentation for Extended Event Context

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Solution Overview

Problem

Existing systems fail to adequately capture and analyze vehicle data before and after an event during travel, limiting the ability to fully understand the event's details.

Innovation Solution

A driving data recorder that utilizes two nonvolatile memories and a processor to store and copy driving data periodically and upon event detection, allowing for extended data capture and transmission based on event type and data volume.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If driving data is stored only for a short period in volatile memory, then the system can operate with limited memory resources, but insufficient data before and after events can be recorded for analysis

Engineering Contradiction:
Improveamount of driving data recordedVSAvoidmemory system complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The memory system is segmented into three distinct parts: volatile memory for active data buffering, first nonvolatile memory for periodic snapshots, and second nonvolatile memory for event-focused extended recording. This segmentation allows each memory type to serve its optimal function while collectively solving the data retention problem.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by continuously buffering data in volatile memory and periodically copying it to nonvolatile memory before events occur. This ensures that when an event is detected, the necessary historical data is already prepared and available for extended analysis.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If driving data is copied frequently to nonvolatile memory, then data retention is improved, but memory bandwidth and processing time are consumed

Engineering Contradiction:
Improvedata retention reliabilityVSAvoiddata processing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system implements periodic action by copying driving data from volatile memory to the first nonvolatile memory at predetermined intervals. This periodic copying ensures data retention without requiring continuous processing, thereby balancing reliability with time efficiency.

Inventive Principle:
Principle #19Periodic action

3Loss of information

If driving data for extended periods is recorded including event timing, then event analysis capability is enhanced, but data transmission volume increases

Engineering Contradiction:
Improveevent context informationVSAvoiddata transmission volume
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The system extracts and prioritizes event-related data from the extended recording period. By identifying events and selectively preserving data surrounding them in the second nonvolatile memory, the system maintains comprehensive event context while enabling selective transmission of only the most relevant data portions.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250252791A1Driving data recorder, method, and computer program for recording driving data
Publication Date: 2025.08.07 TOYOTA JIDOSHA KK
  • US20250252791A1 patent drawing
  • US20250252791A1 patent drawing
  • US20250252791A1 patent drawing

AI summary

A driving data recorder includes a processor configured to store driving data of a vehicle in a volatile memory, copy, every time a first period elapses, the driving data for the first period stored in the volatile memory into one of a first nonvolatile memory and a second nonvolatile memory, and copy driving data for a second period, out of the driving data stored in the one of the nonvolatile memories, from the one of the nonvolatile memories into the other nonvolatile memory at saving timing that is a predetermined time after timing of detection of occurrence of a predetermined event. The second period includes the timing of detection of occurrence of the event and is longer than the first period.