EBC-Measurements

All-in-One Toolbox for Measurement Data Acquisition and Data Logging

About the project

Data logging is the process of acquiring data over time from various sources, typically using sensors or instruments, and storing them in one or multiple outputs, such as files or databases. This Python package provides easily understandable interfaces for various data sources and outputs, facilitating a quick and easy configuration for data logging and data transfer.

Potential use cases include field measurements, test bench monitoring, and Hardware-in-the-Loop (HiL) development. With its versatile capabilities, this toolbox aims to enhance the efficiency of data acquisition processes across different applications.

If you have any questions regarding EBC-Measurements, feel free to contact us at ebc-tools@eonerc.rwth-aachen.de.

Available at PyPI as EBC-Measurements.

Tool structure and overview

Overview

Data logger

As the key component in the data logging process, the data logger in this toolbox ensures high flexibility in the logging procedure, featuring the following capabilities:

• Read and write data from and to multiple systems simultaneously
• Rename each variable in data sources for each output individually
• Check variable names and automatically prefix to avoid duplicates in data outputs
• Perform data type conversion for each variable in data sources for each data output individually

The following types of data loggers are available in the toolbox:

• Periodic trigger (time trigger)
• MQTT on-message trigger

Currently supported systems

The toolbox currently supports the following platforms and protocols, as shown in the table: