As a result of sudden failure in the Programmable Logic Control (PLC) controlled process, the need of diagnosis arises. Diagnosis problem plays an important role to monitor failures in PLC, used to control the whole p...As a result of sudden failure in the Programmable Logic Control (PLC) controlled process, the need of diagnosis arises. Diagnosis problem plays an important role to monitor failures in PLC, used to control the whole process. Nowadays and due to the lack of the needed tools availability to perform this action automatically, it is accomplished manually. Usually, the time consuming method is used by back-tracking the failure on an actuator due to the corresponding sensors. This paper analyzes the software quality metrics and their application on the PLC programs. Aiming to implement metrics that gives predictive information about diagnosability of an Instruction List (IL) PLC programs, this could minimize the needed effort to check the program in case of mistakes. Furthermore, to get a better prediction about diagnosability, new metrics are introduced which are able to give more information about the semantics of a program. But they are not yet fully developed and have to be analyzed.展开更多
传统的PLC编程方法存在着复杂性高、效率性低等方面的问题,严重制约了工程师的程序开发速度。为解决这些问题,提出了一种基于人工智能的PLC代码生成方法。首先,利用文心一言生成所需功能的SCL语言代码。接着,在Visual Studio Code中对...传统的PLC编程方法存在着复杂性高、效率性低等方面的问题,严重制约了工程师的程序开发速度。为解决这些问题,提出了一种基于人工智能的PLC代码生成方法。首先,利用文心一言生成所需功能的SCL语言代码。接着,在Visual Studio Code中对生成的代码检查和修订。最后,在西门子博途中导入修订后的源代码文件,并对其功能进行测试。实验结果表明,自动生成的SCL代码能基本满足所需功能要求,该方法提高了PLC编程效率。展开更多
文摘As a result of sudden failure in the Programmable Logic Control (PLC) controlled process, the need of diagnosis arises. Diagnosis problem plays an important role to monitor failures in PLC, used to control the whole process. Nowadays and due to the lack of the needed tools availability to perform this action automatically, it is accomplished manually. Usually, the time consuming method is used by back-tracking the failure on an actuator due to the corresponding sensors. This paper analyzes the software quality metrics and their application on the PLC programs. Aiming to implement metrics that gives predictive information about diagnosability of an Instruction List (IL) PLC programs, this could minimize the needed effort to check the program in case of mistakes. Furthermore, to get a better prediction about diagnosability, new metrics are introduced which are able to give more information about the semantics of a program. But they are not yet fully developed and have to be analyzed.
文摘主要探讨在自动化生产线中,可编程逻辑控制器(Programmable Logic Controller,PLC)编程的关键技巧及其应用。通过分析不同类型的生产线需求,着重介绍了PLC编程在提高生产效率、确保系统稳定性和提升自动化程度方面的作用。首先,讨论了PLC编程在设计和实施过程中的基本原则,包括模块化设计、代码优化和错误处理。其次,深入分析了如何利用PLC进行故障诊断和系统维护,以减少停机时间并提升生产连续性。再次,还探讨了先进的PLC编程技术,如数据采集和分析,以及如何集成到物联网(Internet of Things,IoT)中以提升智能制造水平。最后,通过案例研究展示了PLC编程在实际生产线中的应用效果,证明了其在优化生产流程和提高效率方面的重要性。
文摘传统的PLC编程方法存在着复杂性高、效率性低等方面的问题,严重制约了工程师的程序开发速度。为解决这些问题,提出了一种基于人工智能的PLC代码生成方法。首先,利用文心一言生成所需功能的SCL语言代码。接着,在Visual Studio Code中对生成的代码检查和修订。最后,在西门子博途中导入修订后的源代码文件,并对其功能进行测试。实验结果表明,自动生成的SCL代码能基本满足所需功能要求,该方法提高了PLC编程效率。
