Piatkowski Jacek, Karbowiak Lukasz, Depta Filip
Faculty of Computer Science and Artificial Intelligence, Czestochowa University of Technology, Czestochowa, 42-201, Poland.
Sci Rep. 2025 Jul 2;15(1):22711. doi: 10.1038/s41598-025-07797-7.
The use of many different types of data sensors makes it possible to better represent and understand a given phenomenon. However, the problem becomes the synchronization and fusion of this data. Our goal was to develop a lightweight and flexible system for synchronized data acquisition from various sensors. We created the Synchronized Data Acquisition System (SDAS), which uses our Edge Control Protocol (ECP) and Temporal Sample Alignment (TSA) algorithm to ensure that the data collected from all the sensors connected to the SDAS is in sync. This process can therefore be referred to as a software-based synchronization method. We also conducted tests to validate our solution.
使用多种不同类型的数据传感器能够更好地呈现和理解特定现象。然而，问题在于这些数据的同步与融合。我们的目标是开发一种轻量级且灵活的系统，用于从各种传感器同步采集数据。我们创建了同步数据采集系统（SDAS），它使用我们的边缘控制协议（ECP）和时间样本对齐（TSA）算法，以确保从连接到SDAS的所有传感器收集到的数据是同步的。因此，这个过程可被称为一种基于软件的同步方法。我们还进行了测试以验证我们的解决方案。
