IT in Manufacturing


The future of maintenance

September 2023 IT in Manufacturing

In the digital age, industries worldwide are transitioning towards innovative solutions to streamline their operations. Senseye Predictive Maintenance – a Siemens product – integrates seamlessly, and provides maximum value by leveraging your existing investments. Let’s explore the pivotal features in greater depth.

Machine agnostic

Senseye Predictive Maintenance combines leading AI with human insights, and automatically generates machine behaviour models to help direct your attention and expertise to where it’s needed most. It integrates with any asset, system or data source, using data you already collect, or with newly installed sensors as part of a complete package.

Quick to deploy

Initial deployments can be up and running in weeks, with a positive business outcome demonstrable in just three to six months of use, and scaling to full site development and multi-site deployment over the next six to eight months.

Designed to scale

The app is underpinned by a cloud-based platform capable of processing huge volumes of data – typically tens of thousands of related measures per hour. This enables you to reap the benefits of predictive maintenance at scale, applying it to every asset in every one of your facilities.

Constant monitoring

Automatically monitoring your machines, the app enables your teams to focus only on what matters at the best time, puts an end to costly over-maintenance, and eliminates the need for inefficient spot checks and random sampling. With a clearer view of current and potential future risks, you can cut machine maintenance costs by up to 40%.

Accessible anywhere

As a cloud-based platform, Senseye Predictive Maintenance makes it possible to monitor the health of thousands of assets automatically from anywhere in the world. Inspections can take place anytime via web browser, anywhere, freeing up valuable time and encouraging a more proactive approach to maintenance.

Automated detections

Through harnessing the power of advanced algorithms, the platform not only tracks equipment behaviours, but also compares them against historical data. Spotting a trend or anomaly is straightforward, enabling teams to address minor issues before they escalate into major malfunctions.

Simple workflows

Senseye Predictive Maintenance is designed to be used on the shopfloor by the maintenance and operations teams who need to keep things running smoothly and ensure that unplanned downtime stays down. Intuitive workflows focus on automatically delivering advanced predictive maintenance insights in an easily understandable manner.

Enterprise integration

Operational harmony is achieved when systems communicate. The app can seamlessly interface with ERP systems, CMMS and more, ensuring data flows smoothly across platforms, and optimising operations holistically.

Security features

In our cyber-centric world, data security is paramount. Senseye Predictive Maintenance comes fortified with top-tier encryption and security protocols, guaranteeing that your sensitive equipment data remains shielded from potential breaches.

Senseye Predictive Maintenance is more than just technology. It can drive significant business outcomes and accelerate digital transformation throughout your organisation. With its proven deployment methodology, the product ensures the benefits of plant-wide asset intelligence can be achieved quickly and at scale.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Quantum computing and its impact on data security: a double-edged sword for the digital age
IT in Manufacturing
Quantum computing is poised to redefine the boundaries of data security, offering groundbreaking solutions while threatening modern encryption’s foundations. For third-party IT providers, this duality presents both a challenge and an opportunity to lead organisations through one of the most significant technological transitions in decades.

Read more...
Next-generation road-legal race car.
Siemens South Africa IT in Manufacturing
Siemens Digital Industries Software has announced that Briggs Automotive Company (BAC) will move to the Siemens Xcelerator portfolio of industry software and use it to develop the next generation of its single-seater road-legal race car, Mono.

Read more...
Cybersecurity at a crossroads
IT in Manufacturing
here’s a growing unease in boardrooms, data centres and cabinet offices across South Africa. It’s not just about economic headwinds or political uncertainty, it’s about something quieter, more technical and yet just as dangerous - the rising tide of cyber threats.

Read more...
Enabling a sustainable industrial organisation
IT in Manufacturing
This article explains the top sustainability trends and key actions that you can leverage to become a more sustainable organisation.

Read more...
Navigating discrete manufacturing in South Africa through digitalisation
IT in Manufacturing
South Africa’s discrete manufacturing sector faces mounting pressure from global competition, fragmented supply chains and outdated infrastructure. In this complex environment, digitalisation is a critical lever for survival, resilience and growth.

Read more...
Africa’s pragmatic approach to AI and how data centres are enabling it
Schneider Electric South Africa IT in Manufacturing
In Africa, the current AI momentum is driven by a fundamental need, building a resilient digital infrastructure that addresses the real-world challenges of the continent’s communities.

Read more...
World first simulation of error-correctable quantum computers
IT in Manufacturing
Quantum computers still face a major hurdle on their pathway to practical use cases, their limited ability to correct the arising computational errors. In a world first, researchers from Chalmers University of Technology in Sweden have unveiled a method for simulating specific types of error-corrected quantum computations.

Read more...
Platform to accelerate supply chain decarbonisation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric has launched Zeigo Hub by Schneider Electric, a powerful new digital platform designed to help organisations decarbonise their supply chains at scale.

Read more...
Future-ready data centres
IT in Manufacturing
The white paper ‘Future-Ready Data Centres’ by Black & Veatch outlines how integrating sustainable design principles not only helps meet ESG goals but also ensures reliability, operational efficiency and business continuity in the face of climate change and growing digital demand.

Read more...
Sustainable energy management
Siemens South Africa IT in Manufacturing
Utilising its innovative ONE approach technology, Siemens provides complete transparency on resource consumption and offers data-driven optimisation recommendations for sustainable energy management.

Read more...









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.




© Technews Publishing (Pty) Ltd | All Rights Reserved