Digitalization of Industrial Operations: Low Power Consumption, High Performance, and Super Connectivity Are the "Superpowers"!
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The digital revolution in traditional industrial operations is becoming a market focus. At Computex 2024, one of the highlights of NVIDIA CEO Jensen Huang's keynote speech was how NVIDIA helps customers leverage AI to digitize their factories. With over 10 million factories worldwide, valued at $46 trillion, industrial digitalization is crucial for manufacturing innovation.
With the development of big data and machine learning technologies, more and more factories are leveraging these advanced technologies to transform their processes, which is the essence of Industry 4.0. In fact, many factories have already achieved increased production efficiency, improved production quality, and reduced production costs through upgrades. For example, Foxconn's Shenzhen Longhua factory, selected as a "Manufacturing Lighthouse Factory" at the Davos World Expo, has achieved a 30% increase in production efficiency and a 15% reduction in inventory cycles through its lights-out project, while prioritizing the use of Fourth Industrial Revolution technologies.
Underlying chips and devices are the foundational technologies that power the digital revolution and influence the progress of industrial digitization. As a technology distributor and solutions provider, Avnet is innovating in three key areas to accelerate the implementation of Industry 4.0. In the digital transformation of industrial operations, low power consumption, high performance, and connectivity are crucial to digitalization and machine learning.
Low power consumption: efficient edge
Whether it's factory digital transformation or machine learning, both require massive amounts of data, much of which originates from edge devices. Most edge devices require compact form factors, and some are even battery-powered. Therefore, low power consumption is crucial to ensuring sustainable data generation.
Low power consumption extends device life:
Low-power devices generate less heat, reducing the need for cooling systems and thus extending the life of the equipment. Low-power technology is particularly important for sensors, controllers, and embedded systems used in large quantities in industrial environments.
Reduce energy costs:
Low-power devices can significantly reduce energy consumption, thereby reducing operating costs. For industrial systems that need to operate 24/7, the cost advantages brought by energy savings are particularly obvious.
Enhanced system stability:
Low-power devices generate less heat, reducing system failures caused by overheating and improving system stability and reliability.
Avnet partner NXP's MCX A series MCUs feature scalable device options, low power consumption, and intelligent peripherals, making them suitable for a wide range of application scenarios. As a general-purpose MCU based on the Arm Cortex-M33, the MCX A series boasts a main frequency of up to 96MHz, high integration, and excellent analog performance. The low-power cache has built-in RAM self-test hardware, which improves system performance and supports various safety applications. The MCX A offers a range of low-power intelligent peripherals, including timers and a 4Msps 12-bit ADC. The timers can generate three sets of complementary PWM signals with dead-zone insertion, while the 4Msps 12-bit ADC can implement hardware windowing and averaging functions. The innovative power architecture enables efficient I/O utilization and saves power, with a simple power supply circuit and a small footprint. The MCX A supports more GPIO pins for easy connection to external devices, allowing designers to choose smaller packages, simplify board design, and reduce system BOM costs.
High-performance processing: a powerful brain
The role of high-performance processing in industrial operations cannot be ignored. High-performance computing capabilities are the foundation for massive and complex data processing and real-time decision-making, thereby improving system efficiency and responsiveness.
Real-time data processing:
High-performance processors and accelerators can process large amounts of real-time data and support complex machine learning and data analysis algorithms. This is crucial for real-time monitoring, predictive maintenance, and intelligent control systems.
Improve production efficiency:
High-performance technologies can speed up data processing and decision-making on production lines, improving production efficiency. For example, in automated production lines, high-performance computing can enable rapid fault detection and troubleshooting, reducing downtime.
Support for complex applications:
High-performance technologies enable complex industrial applications such as computer vision, deep learning, and advanced data analytics, which play a vital role in improving production quality, optimizing process flows, and enhancing safety.
Taking embedded vision as an example, it can play a key role in multiple markets such as industrial manufacturing, intelligent security, and unmanned driving, and is also an important application field of machine learning.
With Avnet's UltraZed-EV Starter Kit, developers can immediately begin developing embedded vision applications. This kit combines the new UltraZed-EV System-on-Module (SOM) with a board to create a complete system for prototyping and evaluating embedded vision processing systems. The Zynq UltraScale+ MPSoC integrates a feature-rich 64-bit quad-core or dual-core ARM Cortex-A53 and dual-core ARM Cortex-R5 processing system, along with programmable logic, to meet the diverse performance, real-time, and flexibility requirements of embedded vision.
Connections: A Rich Nervous System
Connectivity technology plays a key role in bridging the digital transformation of industrial operations. By connecting devices and systems to the cloud, data can be centrally managed and processed, enhancing the intelligence and collaboration capabilities of the system.
Especially as the amount of data increases, connection technology becomes increasingly important.
For industrial applications, connection technology needs to have characteristics such as low latency, high reliability, scalability, and edge support.
10Base-T1 is a recently popular new connection protocol that conveniently transmits data and energy over a single Ethernet pair and supports Transmission Networking (TSN). Ethernet also enables greater unification and integration of OT and IT networks in network transmission.
Avnet's partners, including ON Semiconductor and Microchip, have launched transceivers for 10Base-T1, which can use standard Ethernet technology without the need for a gateway, thereby reducing application costs and making better use of the existing Ethernet ecosystem.
Conclusion
Three major technological trends—low power consumption, high performance, and connectivity—play a key role in the digital transformation of industrial operations. Low power consumption reduces operating costs by lowering energy consumption and extending equipment lifespan. High performance enhances production efficiency and system reliability by improving data processing capabilities and response speed. Connectivity enhances system intelligence and collaboration by enabling data connectivity. By applying these technologies, industrial enterprises can better address the challenges of digital transformation and improve their competitiveness and innovation capabilities.
However, there's still a significant implementation gap between chips and complete production lines. Careful partner selection is crucial to accelerate overall implementation. Consider suppliers across the entire lifecycle, including R&D, mass production, maintenance, supply chain, and logistics. Avnet has long been helping innovators transform good ideas into great products. Avnet's dedicated team of engineers can help partners integrate everything into a single, managed environment at any stage. Ultimately, our products and services bridge the gap between hardware, software, and the cloud.
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