3. Processing Axis SignalsIn the CMVM PLC program, there are multiple corresponding FB blocks for the machine tool axes, but these FB blocks are actually a single FB block with different names.OB1 calls FB130, which in turn calls the FB block that processes each axis signal, along with FB139 (which handles the axis selection keys … Read more
Most PLC programming consists of input contacts and output coils, which influence real-world outcomes through logical series/parallel combinations. —————————————————— Although each model of PLC seems to have its unique programming standards, there is indeed an international standard that most PLC manufacturers at least attempt to follow. This is the IEC 61131-3 standard, which will be … Read more
This thing can be quite confusing for beginners; just looking at that pile of PLC models can be overwhelming. I have been in this industry for nearly 20 years and have seen too many novices struggling with books only to arrive on-site completely lost. Let’s get to the point: when selecting a PLC, don’t just … Read more
Hey, recently I’ve been tinkering with something fun — running machine learning on those tiny IoT devices! Seeing the number “1KB”, many people shake their heads: how is that possible? Indeed, a high-definition photo takes several MB, so where’s the magic that allows AI to fit into such a tiny space? Actually, TinyML is such … Read more
In recent years, artificial intelligence technology has developed rapidly, but its powerful computing capabilities often rely on cloud servers. This poses a significant challenge for resource-constrained embedded devices. However, the rise of TinyML (Tiny Machine Learning) technology brings new hope: enabling resource-limited microcontrollers to run deep learning models! This article will take you into the … Read more
In the field of large language models, the pre-training + fine-tuning paradigm has become an important foundation for deploying various downstream applications. Within this framework, the use of low-rank adaptation (LoRA) methods for efficient fine-tuning of large model parameters (PEFT) has resulted in a large number of reusable LoRA adapters tailored for specific tasks. However, … Read more
Autonomous driving is a significant application of edge computing, requiring 100-1000 TOPS of edge AI computing power, which has become an industry barrier due to its high performance and low power consumption characteristics. AI computing requires domains to optimize algorithms and data flow architectures. The limits of Moore’s Law are approaching, and without the correct … Read more
Attention all workers! Today, I want to take you to witness a dramatic scene in the tech world—a once-glorious cloud computing is being overshadowed by its own offspring, Edge AI. This is not a family drama, but a revolution in data processing efficiency! Imagine this: cloud computing is like an old department store in the … Read more
In the global wave of digital transformation, edge AI is becoming the core engine for enterprises to break through efficiency bottlenecks. Facing Gartner’s prediction that “by 2025, half of enterprise data will be processed at the edge,” Intel is leveraging an “open ecosystem + full-stack solutions” strategy to launch three innovative products: AI edge systems, … Read more
In the late night at the substation, cameras silently rotate. In the past, these devices could only record footage, waiting for manual inspections; now, with the help of edge AI video recognition technology, they can capture hazards such as equipment overheating, insulator breakage, and foreign object intrusion in real-time, issuing alerts within milliseconds. The power … Read more