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:

Bringing physical AI to the factory floor by deploying humanoids in industrial operations
Siemens South Africa Motion Control & Drives
Siemens and Humanoid have marked a landmark milestone in the journey to bring physical AI from vision to industrial reality. Humanoid’s humanoid robothas been successfully tested in operations at Siemens’ electronics factory in Germany, performing autonomous logistics tasks.

Read more...
Siemens ecosystem strengthens data and AI integration
Siemens South Africa IT in Manufacturing
Siemens has announced significant expansions to its Industrial Edge ecosystem, accelerating data and AI integration and releasing enhanced cybersecurity functionalities. These enable a seamless integration of IT and OT environments, optimise processes and reduce operational disruptions.

Read more...
Siemens manages shipbuilding process for HD Hyundai
Siemens South Africa IT in Manufacturing
Siemens has been selected by HD Korea Shipbuilding & Offshore Engineering as a preferred partner to establish an integrated platform to manage the entire shipbuilding process as a single data flow to help ensure consistency across all its global shipyard facilities.

Read more...
Transforming the process industry through digitalisation
Endress+Hauser South Africa IT in Manufacturing
By connecting field devices, systems and people, digitalisation creates new opportunities to optimise operations, enhance maintenance strategies and support continuous improvement. As a leading instrumentation provider and major source of process data, Endress+Hauser plays a key role in enabling this transformation.

Read more...
The OT operator’s guide to security and uptime on the plant
RJ Connect IT in Manufacturing
The article addresses three common questions about industrial network deployment and maintenance, exploring ways to achieve better control and visibility with more efficiency.

Read more...
The assets you can’t see are the ones that can shut you down
IT in Manufacturing
ABEGuardOT is an asset management solution that delivers continuous, non-intrusive visibility across multi-vendor environments, including Siemens, Rockwell, ABB, Honeywell, Schneider Electric, Emerson, GE and Yokogawa, with support for OPC UA, EtherNet/IP, Modbus and Profibus.

Read more...
Edge I/O NTS and the need for industrial speed
Schneider Electric South Africa IT in Manufacturing
One of the most compelling solutions to emerge from industrial automation is Edge I/O NTS, which represents a natural evolution of computing from centralised servers to localised, device-level input/output processing, offering improved speed, efficiency and resilience.

Read more...
The next wave of AI-driven process automation
Schneider Electric South Africa IT in Manufacturing
As process industries hurtle toward an AI-driven future, four powerful trends are set to redefine automation strategies in 2026: hyper automation, AI-first automation, low code/no code platforms, and advanced process intelligence.

Read more...
Huge increase in denial-of-service cyber threats
IT in Manufacturing
NETSCOUT has released its Distributed Denial-of-Service Threat Intelligence report, revealing sophisticated attacker collaboration, resilient botnets and compromised IoT infrastructure that drove more than eight million DDoS attacks worldwide.

Read more...
Sustainable manufacturing
ABB South Africa IT in Manufacturing
ABB’s production facility in Shandong province, China is delivering measurable energy and emissions reductions through the implementation of advanced digital energy management and electrification solutions.

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