We are learning about programming continuous control programs. Before writing the program, the first step is to create a project, add devices, and save the project. Next, open the “Default Variable Table” under “PLC Variables” in the project tree on the right.In the default variable table, we add variables, which means we add comments to … Read more
JZGKCHINAIndustrial Control Technology Sharing Platform CODESYS is a globally renowned open PLC programming system, similar to Siemens TIA Portal, widely used in factory automation, automotive automation, embedded automation, process automation, building automation, and other fields. This software is developed by the German CODESYS Group. CODESYS is synonymous with the IEC61131-3 standard. However, CODESYS is not … Read more
Abstract: In automation control systems, PLCs are responsible for processing and executing various logical operations and control tasks. However, in practical applications, we often add an intermediate relay to the output terminals of the PLC for two main reasons.First Reason: It is impossible to use without an intermediate relay First, let’s explore the first reason: … Read more
Focusing on automation training for 14 yearsJicheng Training Network Before understanding how a PLC controls a servo motor, we need to clarify two questions: How does a PLC control a servo motor? And how to design a servo system? We will start from these two questions and detail how PLCs control servos and how they … Read more
Introduction: The “Virtual Laboratory” of Industrial Programming Imagine spending three days and nights writing a PLC program, only for it to “crash” during on-site debugging. Every engineer has experienced this frustrating moment. Today, we will unveil Siemens PLCSIM Advanced V5.0, this “virtual laboratory,” in simple terms, covering everything from installation to practical use, making it … Read more
Estimated reading time: 8 minutes | Target audience: PLC engineers, automation engineers > 🤔 Have you encountered these issues: – Low testing efficiency in electronic factories, high labor costs? – Testing data is difficult to trace, quality control faces numerous challenges? – Interconnectivity of equipment is problematic, low production line collaboration? – High investment in … Read more
Paper Title: Optimising TinyML with Quantization and Distillation of Transformer and Mamba Models for Indoor Localisation on Edge DevicesPublication Date: December 2024Authors: Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, Ryan McConvilleAffiliations: University of Bristol, University of AberdeenOriginal Link: https://arxiv.org/pdf/2412.09289Open Source Code and Dataset Link: https://github.com/AloeUoB/tinyML_indoor_localisation Introduction Typically, accurate indoor localization systems rely on large machine learning … Read more
The AIxiv column is a section published by Machine Heart that features academic and technical content. Over the past few years, the AIxiv column has reported on more than 2000 pieces of content, covering top laboratories from major universities and companies worldwide, effectively promoting academic exchange and dissemination. If you have excellent work to share, … Read more
This article is based on a lecture from NVIDIA GTC2024: I am discussing what will happen in the future. However, today’s talk will focus heavily on the practical challenges and the emerging trends that we believe can help address the challenges in artificial intelligence and robotics. But before looking to the future, it is important … Read more
The migration of AI, including generative AI, to edge devices has raised widespread questions: If cloud or data centers already possess excellent AI inference capabilities that far exceed those of edge devices, why do we still need to deploy edge or on-device AI? Until we realized that automotive ADAS/AD decision-making must prioritize real-time performance; otherwise, … Read more