Moxa has announced that the latest addition to the V2400 series of EN 50155-certified railway computers is ready to roll. The V2416, an x86 Intel Atom embedded computer, has a hot swappable storage bay feature that is particularly useful in NVR (network video recording) applications. The computers feature four RS232/422/485 serial ports, dual LAN ports, and three USB 2.0 hosts. In addition, V2416 computers provide dual VGA and DVI-I outputs and are EN 50155 certified, ensuring their reliability in railway and industrial applications.
The units are equipped with two slots for inserting additional storage media, such as hard disks or SSD drives and are tailored for NVR applications, supporting hot swaps for convenient, fast, and easy storage expansion. Innovative programmable LEDs indicate the storage capacity and computer status, while an API library is provided to enable easy configuration of the storage capacity and an e-mail notification function to simplify development.
EN 50155 certified
EN 50155 certification specifies standards for the operation, design, construction, and testing of electronic equipment used on rail vehicles and in railway applications. Moxa’s railway series computers are EN 50155 certified and undergo environmental testing to ensure reliable performance under a variety of power supply conditions, such as voltage variations, power interruptions, and supply changeover. The computers can also withstand environmental disturbances including vibration, shock and temperature variations.
Rcore ready-to-run embedded software platform
All of Moxa’s embedded computers are supplied with the operating system pre-installed. In addition, BIOS, middleware, sample code and tools are provided to give programmers a user-friendly environment for application development, minimising the effort required for system integration.
Schneider Electric’s Five-Pillar Strategy takes the guesswork out of equip Schneider Electric South Africa
IT in Manufacturing
Schneider Electric’s Field Service Cycle, otherwise known as the Five-Pillar Strategy, is a structured approach to managing the lifecycle of equipment to prolong asset lifespan while reducing the total cost of ownership for customers.
Read more...Laying the groundwork in IT/OT
IT in Manufacturing
In the realm of manufacturing, the core mandate is to deliver value to stakeholders. For many in the industry, this is best achieved through a risk-averse approach. Only upon establishing a robust foundation should a business consider venturing into advanced optimisation or cutting-edge technological innovations such as industrial AI.
Read more...Looking into the future of machine vision Omron Electronics
IT in Manufacturing
Artificial intelligence (AI) is driving a significant transformation in all areas of industrial automation, and machine vision is no exception. Omron’s AI-powered machine vision systems seamlessly integrate state-of-the-art algorithms, enabling machines to analyse and interpret visual data meticulously.
Read more...Driving digital transformation in the truck industry Siemens South Africa
IT in Manufacturing
Tatra Trucks, a leading truck manufacturer in Czechia, has adopted the Siemens Xcelerator portfolio of industry software including Teamcenter software for product lifecycle management and the Mendix low code platform to help increase production volume and strengthen its ability to manufacture vehicles that meet specific customer requirements.
Read more...Opinion piece: Digital twins in manufacturing – design, optimise and expand Schneider Electric South Africa
IT in Manufacturing
Digital twin technology can help create better products, fast. It can also transform the work of product development. This strong statement from McKinsey reinforces how far digital twins have come in manufacturing.
Read more...Asset tracking is key to driving operational excellence and sustainable growth Schneider Electric South Africa
IT in Manufacturing
Asset tracking plays a critical role in the success of industrial businesses. By effectively managing and monitoring assets, companies can optimise their operations, ensuring that resources are used efficiently. This leads to improved productivity and reduced costs.
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.
printer friendly version