Year: 2025

PLC Intelligent Algorithms: Integration of Machine Learning Applications, 50% Improvement in Anomaly Detection Accuracy!

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PLC Intelligent Algorithms: Integration of Machine Learning Applications, 50% Improvement in Anomaly Detection Accuracy!

PLC Intelligent Algorithms: Integration of Machine Learning Applications, 50% Improvement in Anomaly Detection Accuracy! 📚 Estimated reading time: 8 minutes > This article will detail the perfect combination of PLC and machine learning, aiding the upgrade of industrial automation. > – Are you troubled by the high false positive rate of traditional PLC detection methods? … Read more

Hardware News: Intel’s 3D PLC Flash Memory Research and Upcoming Developments

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Hardware News: Intel's 3D PLC Flash Memory Research and Upcoming Developments

News 1:Intel is researching 3D PLC flash memory, firmly sticking to the floating gate structure. Although QLC flash memory has not yet been widely adopted, with few SSDs on the market using QLC, flash manufacturers are already preparing for the next generation of PLC flash memory. Last month, Toshiba showcased its PLC plans at the … Read more

When ChatGPT Meets PLC

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When ChatGPT Meets PLC

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

Introduction to PLC Basics: Understanding the Principles of Sequential Control

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Introduction to PLC Basics: Understanding the Principles of Sequential Control

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

Application Case of PLC and Digital Twin Technology in Virtual Debugging for Production Line Upgrades

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Application Case of PLC and Digital Twin Technology in Virtual Debugging for Production Line Upgrades

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!

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PLC Smart Factory: Overall Planning for Digital Transformation, Achieving a 60% Increase in Production Efficiency!

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%!

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PLC Application Example: Waste Incineration Power Generation Control, Efficiency Increased by 20%!

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

Practical Edge AI with Python: From TinyML to NVIDIA Jetson for Edge Intelligence

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Practical Edge AI with Python: From TinyML to NVIDIA Jetson for Edge Intelligence

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

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Edge AI: Three Memory Compression Techniques for Deploying TinyML with MicroPython

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

Small Enterprises and Low-Cost Models: Can Europe’s Edge AI Overtake China and the U.S.?

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Small Enterprises and Low-Cost Models: Can Europe’s Edge AI Overtake China and the U.S.?

A competitive ecosystem has emerged globally around AI inference and training for edge devices. In 2021, Europe launched a research and development investment project named Prevail, aimed at enhancing Europe’s competitiveness in the global semiconductor industry by promoting innovation in edge AI. This project supports industrial enterprises of various sizes in developing and testing high-performance, … Read more