Vehicle Data Logger Local Storage and Sync
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Solution Overview
Problem
Existing electronic data logging systems for commercial motor vehicles lack mechanisms to prevent data loss, particularly in scenarios where the vehicle electronic device is not in communication with an external device.
Innovation Solution
A vehicle electronic device equipped with a processor and memory that includes modules for data acquisition, time-stamping, and personal data correlation, which allows it to store data when not communicatively coupled with a personal electronic device and transmit it when connected, ensuring data integrity and compliance with regulatory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle electronic device stores data locally when not in communication with external devices, then data loss is prevented, but device complexity increases
Solution Approach 1:
The system performs preliminary data storage in local memory before communication is needed. The vehicle electronic device continuously acquires and stores vehicle data, time data, and personal data in its memory buffer, ensuring data is preserved even when external communication is unavailable. This preliminary action prevents data loss during communication interruptions.
Solution Approach 2:
The personal electronic device serves as an intermediary between the vehicle electronic device and remote servers. It receives correlated vehicle data from the vehicle device, stores it locally when needed, and transmits it when communication is available, thereby preventing data loss while managing system complexity through layered architecture.
2Reliability
If the vehicle electronic device transmits data continuously when connected to external devices, then data is synchronized in real-time, but loss of time occurs during transmission delays
Solution Approach 1:
The system implements periodic data transmission instead of continuous transmission. The vehicle electronic device determines whether to transmit correlated vehicle data based on communication availability and transmission needs, using time-stamped data to manage periodic updates efficiently while minimizing transmission delays.
Solution Approach 2:
Data is time-stamped and prepared for transmission in advance before actual communication occurs. This preliminary processing of data with temporal metadata allows for efficient batch transmission when connectivity is available, reducing overall transmission time delays.
3Reliability
If the system correlates multiple data types (vehicle data, time data, personal data), then data integrity is improved, but device complexity increases
Solution Approach 1:
The data correlation system is segmented into separate functional modules: a vehicle data acquisition module that collects vehicle data, a time data acquisition module that captures time data, and a personal data acquisition module that receives personal data. Each module operates independently and contributes to the overall correlated dataset, improving reliability while managing complexity through modular design.
Solution Approach 2:
The vehicle electronic device is designed with multi-functionality to handle multiple data types through unified processing. It can acquire and correlate vehicle data, time data, and personal data using the same hardware platform and processing architecture, thereby improving data integrity without proportionally increasing device complexity.
Data Source
AI summary
Apparatuses, systems, and methods are provided for electronic data logging. More particularly, apparatuses, systems, and methods are provide for electronic data logging which may incorporate a vehicle electronic device that may store data when the vehicle electronic device is not in communication with an external device and that may transmit data when the vehicle electronic device is in communication with an external device.


