Hello everyone! I’m Lao Wang, an experienced engineer who has been in the automation industry for many years. Today, let’s talk about PLC, the ‘big boss’ in the field of automation. Many beginners find PLC mysterious, but once you grasp the method, it’s much simpler than you think! In this article, I will guide you … Read more
Hello everyone! I am Lao Wang, an experienced programmer in the automation industry. Today, let’s talk about PLCs. Although they look complicated, getting started is not difficult. I will guide you from zero knowledge to hands-on experience in the most straightforward way! I guarantee that after learning, you will be able to roll up your … Read more
The PLC control circuit for the cement mixer is shown in the figure. This article only presents the control circuit diagram and ladder diagram of the PLC. The main circuit controls the operation of the water pump, material pump, and mixing pump with overload protection through a variable frequency drive. The water pump is a … Read more
PLC Control System Schematic unset unsetOpening Introductionunsetunset Hello everyone, I am Dou Dou! Today we are going to open the magic box of the PLC world. Imagine the robotic arms in factories can precisely grab parts, and automatic doors can sense pedestrians to open and close. All these magical operations are silently commanded by PLCs. … Read more
Hello everyone! Today we will learn about a very practical and lightweight C library, <strong>TinyXML</strong>. If you have some understanding of XML format files, you should know that it is a very common format used for storing and transmitting data, such as configuration files and data exchange. <strong>TinyXML</strong> is a lightweight library specifically designed for … Read more
TinyMLPy is a Python library focused on the development of lightweight deep learning models, offering efficient model compression and deployment capabilities. In the field of deep learning, lightweight AI has become an important development direction, from model compression and quantization optimization to deployment on micro devices. In practical applications, TinyMLPy can help us: Compress deep … Read more
The combination of the Internet of Things (IoT) and Machine Learning (ML) is becoming increasingly popular in many applications, ranging from small IoT devices to large data centers. For various reasons, such as real-time/offline operations, battery savings, and even security and privacy considerations, it is ideal to run ML algorithms and data processing at the … Read more
When Smartwatches Can Translate Sign Language in Real Time Have you ever thought that a chip the size of a fingernail could run face recognition? MIT Han Lab’s open-source TinyML technology is making these sci-fi scenarios a reality. This groundbreaking technology has been successfully deployed in over 100,000 IoT devices, with WIRED and MIT News … Read more
Deep learning dominates various fields and fundamentally changes human society. Efficiency is a key factor in democratizing deep learning and expanding its application scope. This has become increasingly important as Moore’s Law slows down and the pace of model size expansion accelerates. We need efficient algorithms and systems to help bridge this gap. In this … Read more
Click the card below to follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology from Article One to Nineteen, which includes content on large model quantization and fine-tuning, efficient inference for LLMs, quantum computing, generative AI acceleration, etc. The content links are as follows: Efficient … Read more