As an IIoT platform, ifm moneo combines the operations technology (OT) level with the information technology (IT) level. As such, sensor data generated in production plants can be read and processed easily and used as a basis for sustainable corporate decisions.
moneo has a modular structure consisting of a basic software package with applications bolted on, such as for condition monitoring or setting IO-Link sensor parameters. This makes it possible to put together a tailor-made software package for every individual requirement.
With a focus on simple and fast implementation of modules and user-friendly interfaces, the platform opens the way for industry-independent, vendor-agnostic integration of a wide range of existing devices and efficient use of data. One of the benefits of this approach is that machines can be maintained predictively, unplanned downtimes can be avoided and, thus, plant efficiency can be improved.
If a machine is running differently than usual, it is usually an indication of wear or changes in the process that could lead to failure. By analysing sensor data and detecting deviations, moneo ensures that there is enough time after the occurrence of a deviant operating condition to schedule predictive maintenance.
moneo function modules are scalable for all machines, with the starter kit providing an ideal start to a digitalisation project. When you are ready for the next steps, an extension via further modules or device connections is easily possible. moneo makes use of an info-point licensing model, making it an IIoT platform that grows with your requirements.
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