When ChatGPT Meets PLC The future has arrived. The story goes like this: I registered an OpenAI account, originally thinking of testing the chat, testing poetry writing, then I accidentally tested writing PLC programs, and it completely overturned my understanding… (There’s a surprise in the second to last paragraph) 01 Let’s Start with a Simple … Read more
After years in automation, I find it unbearable to deal with newcomers who can’t even grasp the basics of sequential control. Just the other day, I encountered a novice in electrical engineering whose Siemens sequential control program was a complete mess, and after running it for a long time, nothing was accomplished, which made me … Read more
As the project leader for the production line transformation, I led a team last year to complete the intelligent upgrade of an automotive parts factory. This experience made me deeply appreciate the power of PLC + Digital Twin in virtual debugging—what originally required a two-week shutdown was completed in just three days. Below, I will … Read more
PLC Smart Factory: Overall Planning for Digital Transformation, Achieving a 60% Increase in Production Efficiency! Estimated reading time: 8 minutes | Practical value: Digital transformation solutions > Are you facing the following challenges? – Low automation level in factories, high labor costs? – Inability to monitor production data in real-time, leading to low decision-making efficiency? … Read more
PLC Application Example: Waste Incineration Power Generation Control, Efficiency Increased by 20%! 📚 Reading Time: 8 minutes | Practical Value: Enhancing Waste Incineration Power Generation Efficiency > Have you encountered these issues? – Is the waste incineration power generation efficiency always unable to break through the bottleneck? – Are there frequent coordination errors between DCS … Read more
1. Evolution of Edge AI Technology From TinyML microcontroller-level inference to NVIDIA Jetson GPU-accelerated computing, the edge AI technology stack achieves a balance between computing power and power consumption. This tutorial covers the entire link of model lightweighting → real-time inference → offline deployment, focusing on solving core challenges such as model compression, hardware heterogeneity, … Read more
Edge AI: Three Memory Compression Techniques for Deploying TinyML with MicroPython To be honest, when I first tried to run a neural network on the ESP32, I was almost driven to madness. 256KB of RAM? Are you serious? That 5MB model I trained on Colab was completely out of the question. However, after experimenting over … Read more
Recently, STMicroelectronics’ artificial intelligence tool – NanoEdge AI Studio has become available for free use. Taking this opportunity, I have worked on some projects and accumulated some experience, which I have organized into this article for everyone to reference. 1. Introduction NanoEdge AI Studio is an artificial intelligence development tool launched by STMicroelectronics, specifically designed … Read more
✅ Author Bio: A research enthusiast and Matlab simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎 Previous reviews, follow the personal homepage:Matlab Research Studio 🍊 Personal motto: Investigate things to gain knowledge, complete Matlab code and simulation consultation available via private message. Intelligent Optimization … Read more
✅ Author Profile: A research enthusiast and Matlab simulation developer, skilled in data processing, modeling and simulation, program design, obtaining complete code, reproducing papers, and scientific simulation. 🍎 Previous reviews, follow the personal homepage:Matlab Research Studio 🍊 Personal motto: Seek knowledge through investigation, complete Matlab code and simulation consultation available via private message. Intelligent Optimization … Read more