As an IIoT platform, ifm moneo combines the operational technology (OT) level with the information technology (IT) level. The 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 and consists of a basic software package as well as applications, e.g. for condition monitoring or for IO-Link sensor parameter settings. This makes it possible to put together a tailormade software package for every individual requirement.
Open technology platform simplifies integration
moneo focuses on simple and fast implementation of the modules and user-friendly interfaces. It is an industry-independent, manufacturer-independent IIoT platform and thus enables the integration of a wide range of existing devices, and more efficient data usage.
moneo analyses the sensor data and detects deviations. If a machine is running differently than usual, this indicates wear or changes in the process that could lead to failure. There is often enough time between the occurrence of the first deviations and a standstill to schedule predictive maintenance.
The modular approach of moneo is particularly flexible in adapting to the requirements of an IIoT project. moneo offers the right modules for different applications and industries – a digital toolbox, so to speak. It is possible to book the moneo modules as required, representing convenient use with low investment costs and very high flexibility.
The moneo starter kit is an ideal start to a digitalisation strategy. When ready for the next steps, extension is easily possible with further modules or device connections. Thanks to info-point licences, the cost depends on the number of data points that are in use.
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