Telematics Data Simplification for Near Real-Time Buffer Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing telematics systems face challenges in efficiently managing and transmitting large volumes of near real-time data from telematics devices to telematics servers, leading to data overflow and inefficiencies in data processing and transmission.
Innovation Solution
A method and device that implement data simplification techniques on telematics devices, which capture data into primary and secondary buffers, perform data simplification when buffers are full or partially filled, and transmit data points to a telematics server only when conditions are met, such as buffer fullness or error thresholds, ensuring efficient data management and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all captured telematics data points are transmitted to the server, then data completeness is improved, but network bandwidth consumption increases and data transmission efficiency deteriorates
Solution Approach 1:
The patent extracts only the most relevant and significant data points from the captured telematics data using a data simplification algorithm. Instead of transmitting all captured data, the system identifies and transmits only those data points that meet specific criteria (e.g., threshold violations, significant changes), thereby reducing network bandwidth consumption while maintaining data completeness for critical information.
Solution Approach 2:
The patent applies partial action by transmitting only a subset of captured data points rather than all data. The data simplification algorithm determines which data points warrant transmission based on predefined criteria, sending only the necessary portion of data to achieve the monitoring objective without excessive transmission of redundant information.
2Loss of time
If data simplification is performed on partially filled buffers, then data transmission timeliness is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary data simplification processing on captured data before it is fully buffered, allowing the system to identify and transmit critical data points as soon as they are captured rather than waiting for buffer completion. This preliminary action reduces transmission delay while the processing is optimized to maintain manageable complexity through efficient algorithm design.
Solution Approach 2:
The patent implements dynamic processing where the data simplification algorithm adapts its behavior based on buffer fill status and data characteristics. When buffers are partially filled, the system dynamically adjusts processing intensity and transmission timing, allowing timely transmission of critical data while managing processing complexity through conditional logic rather than rigid fixed-threshold approaches.
3Productivity
If primary data points are prioritized for transmission, then data transmission efficiency is improved, but data processing complexity increases
Solution Approach 1:
The patent applies different processing and transmission priorities to different types of data points based on their local characteristics and importance. Primary data points (e.g., critical vehicle parameters, safety-related information) are identified and prioritized for transmission with higher urgency, while secondary data points receive standard processing. This local quality differentiation improves transmission efficiency for critical data while managing overall processing complexity through structured categorization.
Data Source
AI summary
Methods by a telematics device and a telematics device for simplifying captured telematics data and providing near real-time data points to a telematics server. Simplifying the data uses an algorithm that prioritizes primary data while providing timely secondary data under various conditions. In some implementations, a data simplification method is applied to partially filled data captured buffers containing secondary data. In some implementations, partially filled data capture buffers are processed if data points of that data type have not been selected for sending or if the data capture buffers are filled over a particular threshold. In some implementations, data points having an estimate error greater than an estimate error threshold are selected for sending to the telematics server.