Vehicle Sensor Data Reduction via Deviation Transmission

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Solution Overview

Problem

Current data compression methods for vehicle defect monitoring systems result in data loss and processing delays due to high resource requirements and lossy compression, making it challenging to transmit accurate data in near real-time, especially for embedded systems with limited processing capabilities.

Innovation Solution

The method employs an upper and lower value difference method or deviation method to reduce data size by calculating and transmitting deviations from average values, allowing for near real-time monitoring without data loss, using simple calculations to minimize bandwidth and resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data compression methods (lossy or non-lossy) are used to reduce data size, then data transmission bandwidth and storage resources are reduced, but information loss occurs or complex calculation processes are required

Engineering Contradiction:

Improvedata sizeVSAvoiddata accuracy

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The patent extracts only the essential information needed for defect monitoring by calculating and transmitting deviation values from average values rather than transmitting complete raw data. This extraction approach reduces data size while preserving the critical information needed to detect device defects, avoiding both lossy compression and non-lossy compression complexity.

Inventive Principle:

Principle #2Taking out (Extraction)

2Quantity of substance

If conventional compression methods are used, then data size is reduced, but processing delay increases due to complex calculation requirements

Engineering Contradiction:

Improvedata sizeVSAvoidprocessing delay

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The patent changes the parameter representation from raw sensor values to deviation values relative to average values. This parameter transformation simplifies the data structure, allowing for faster processing and transmission while reducing data size, thereby decreasing processing delay without requiring complex compression algorithms.

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If all raw data is transmitted to ensure accuracy, then data accuracy is maintained, but network bandwidth and server resources are excessively consumed

Engineering Contradiction:

Improvedata accuracyVSAvoidnetwork bandwidth

Core Design Contradiction:

Loss of informationVSUse of energy by moving object

Solution Approach 1:

The patent applies partial action by transmitting only the necessary portion of data (deviation values) rather than all raw data. This selective transmission maintains the accuracy needed for defect monitoring while significantly reducing network bandwidth consumption and server resource usage.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS8935039B2Method for reducing detection data of a monitoring device in a vehicle, and method for monitoring a vehicle defect in near real time using same

Publication Date: 2015.01.13 KOREA RAILROAD RESEARCH INSTITUTE

AI summary

A method for reducing data of sensor devices in a vehicle includes collecting detection data periodically from the sensor devices and calculating an average value of the data collected during a cycle. The collected data may be compared with the calculated values and a deviation with previous data may be calculated by an upper and lower value difference method. A difference between the collected data and average values may also be calculated by a deviation method. The calculated value is stored. Data from a plurality of running vehicles may be periodically transmitted to a driving control center in order to monitor devices related to operations of all of the running vehicles in near real time.