New datasets obtained from experimental installations with centralized control

The dataset contains the data that local controller 1 (LC1) received from local controller 2 (LC2) during normal system operation. The system was created and it is located in the Laboratory for Manufacturing Automation at the Faculty of Mechanical Engineering, University of Belgrade. The system is based on a smart sensor (electromagnetic linear encoder with local controller) and a smart actuator (rodless pneumatic cylinder with electro-pneumatic pressure regulator and local controller), and the main goal is to achieve the desired position of the piston on the pneumatic cylinder. The dataset includes 7 signals that represent a combination of different piston trajectories. Each signal was recorded during the 200 minutes of piston movement along a defined trajectory, where the length of each signal is 400,000 samples. Table 2 shows the list of collected signals, whereas a detailed description of the system can be found in [1]. This dataset was developed with the support of the Science Fund of the Republic of Serbia, Grant No. 6523109, AI - MISSION4.0, 2020-2022.本数据集收录了系统正常运行阶段，本地控制器1（local controller 1, LC1）从本地控制器2（local controller 2, LC2）处接收的原始通信数据。该系统搭建于贝尔格莱德大学机械工程学院制造自动化实验室。本系统基于两套核心装置构建：其一为智能传感器（smart sensor），具体为搭载本地控制器的电磁式直线编码器；其二为智能执行器（smart actuator），具体为集成电气-气动压力调节器与本地控制器的无杆气动气缸。系统的核心研发目标为实现气动气缸活塞的精准定位控制。本数据集共包含7组信号，涵盖多种活塞运动轨迹的组合工况。每组信号均采集自活塞沿预设轨迹运动的200分钟时长内，单组信号包含400,000个采样点。表2列出了本数据集的采集信号清单，系统的详细技术说明可参考文献[1]。本数据集的研发得到塞尔维亚共和国科学基金项目AI-MISSION4.0（项目编号：6523109，2020-2022年）的资助。