Sensor Data Time-Series Projection for ECU Delay Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern vehicles face delays in sensor data transmission due to bus system communication, leading to out-of-sync measurements that affect the efficiency of distributed systems.
Innovation Solution
Utilizing time-series projection, specifically auto-regressive statistical models like ARIMA, to predict sensor data and bridge time delays, ensuring synchronization and accuracy of sensor data across ECUs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sensor data is transmitted via bus system between ECUs, then communication and data exchange are enabled, but time delays occur causing measurements to be out-of-sync
Solution Approach 1:
The system performs preliminary actions by determining the time offset between sensor data and reference time, then pre-calculates compensated sensor data values that account for the delay. This allows the delayed data to be effectively synchronized without requiring real-time adjustment during operation.
Solution Approach 2:
The patent introduces an intermediary processing step that acts as a mediator between the delayed sensor data and the reference time. The time offset determination and compensation mechanism serves as an intermediary that transforms the delayed data into synchronized data, resolving the timing mismatch without modifying the underlying bus communication system.
2Reliability
If sensor data is transmitted over bus system, then distributed systems can communicate, but the measurements arrive delayed and out-of-sync
Solution Approach 1:
The patent replaces the mechanical/time-based synchronization approach with a computational solution. Instead of attempting to synchronize data transmission physically in real-time, the system uses time offset determination and mathematical compensation to achieve synchronization, substituting computational processing for temporal coordination.
3Loss of time
If time-series projection is performed to bridge time offset, then sensor data synchronization is improved, but computational complexity increases
Solution Approach 1:
The system performs self-service by automatically determining time offsets and calculating compensated sensor data values without requiring external intervention or complex coordination with other ECUs. The processing unit autonomously identifies the timing mismatch and applies the necessary compensation, making the system self-correcting and reducing overall system complexity.
Data Source
AI summary
A system, method and computer program determine estimated sensor data using time-series projection. The system comprises processing circuitry configured to obtain a plurality of samples of sensor data of the sensor. The processing circuitry is configured to obtain information on a time offset between the sensor data of the sensor and a reference time. The processing circuitry is configured to perform a time-series projection based on the plurality of samples of the sensor data. The time-series projection is performed using an auto-regressive statistical model. The processing circuitry is configured to determine an estimate of the sensor data for the reference time based on the time-series projection and based on the time offset between the sensor data and the reference time. Thus, the time-series projection may be used to bridge the time offset between the sensor data of the sensor and the reference time.