Design and Develop a real time post-proccing software for the combustion DAQ system

In data handling, precise post-processing is essential to ensure that all test data points meet the desired quality standards. Consequently, post-processing can often extend over several days, particularly when the raw data are collected from various sources, such as the ECU and DAQ hardware, each associated with different emission analyses.

Implementing an integrated approach may prove beneficial to enhance the efficiency of the post-processing timeline. This approach consolidates multiple raw data sources under a single framework for processing. This strategy facilitates seamless cross-calculations; however, practical challenges may hinder full integration. These challenges include coding language variations, output signal discrepancies, and hardware limitations that may impede the integration process, especially when the test cell receives updates.

Although prolonged post-processing may be viable, it carries the significant risk of requiring repeated tests, as identifying errors or sensor malfunctions in live data can be exceedingly challenging. Given these considerations, I have developed a novel post-processing software capable of efficiently managing multiple data sources while enabling patch processing. This innovation unlocks the capability to process entire test data packages with a single command.

The software is adept at locating and integrating multiple raw files, facilitating cross-calculations, providing sensor variation analyses, and conducting comprehensive error-checking functions. Remarkably, this entire process can be completed in under one minute, allowing operators to ascertain whether further retests are necessary swiftly. The transformation of 40 GB of raw data into final graphical representations in such a brief timeframe exemplifies the efficacy of this advanced solution.