Programmable logic controller (PLC) is always set as a professional course of automation-related majors in Chinese universities and colleges. Abundant experiments are required to ensure that the students are sufficiently trained to get qualified practical skills and engineering abilities. The evaluation of abundant PLC experiments is a heavy and time-consuming task, and it is hard to grade an experiment result precisely and fairly. In this paper, a cloud-based automatic evaluation system for PLC experiments is accordingly proposed to deal with the above problems. Aliyun is employed to build the system platform. During experiments, client threads on the cloud will be scheduled to accesses the on-site S7-1500 PLCs through OLE for process control (OPC) UA protocol. Further, an innovative section-based experiment management method is proposed to make the system open, configurable, and thus extendable. The system relieves the hard work of the teachers on experiment evaluation and provides accurate evaluation conclusions. In contrast, the students can get more comprehensive feedback information and advice from the system to better understand the experiments and the behind principles. The cloud-based framework, the standard protocol as OPC UA, and the configurability of the system can be good references for other relevant systems.

中文翻译：

---

用于部署在云端的 PLC 实验的可配置评估系统

可编程逻辑控制器（PLC）一直是我国高校自动化相关专业的一门专业课。需要大量的实验来确保学生得到充分的训练，获得合格的实践技能和工程能力。对丰富的 PLC 实验进行评估是一项繁重且耗时的任务，很难准确、公平地对实验结果进行评分。针对上述问题，本文提出了一种基于云的PLC实验自动评估系统。系统平台采用阿里云搭建。在实验过程中，云上的客户端线程将被调度通过用于过程控制 (OPC) UA 协议的 OLE 访问现场 S7-1500 PLC。更远，提出了一种创新的基于分区的实验管理方法，使系统具有开放性、可配置性和可扩展性。该系统减轻了教师在实验评价上的辛勤工作，提供准确的评价结论。相比之下，学生可以从系统中获得更全面的反馈信息和建议，从而更好地理解实验和背后的原理。基于云的框架，OPC UA的标准协议，以及系统的可配置性，可以为其他相关系统提供很好的参考。学生可以从系统中获得更全面的反馈信息和建议，以更好地理解实验和背后的原理。基于云的框架，OPC UA的标准协议，以及系统的可配置性，可以为其他相关系统提供很好的参考。学生可以从系统中获得更全面的反馈信息和建议，以更好地理解实验和背后的原理。基于云的框架，OPC UA的标准协议，以及系统的可配置性，可以为其他相关系统提供很好的参考。