IT in Manufacturing


New Mindsphere app from Siemens

January 2020 IT in Manufacturing

With Predictive Services for Drive Systems, Siemens presents a standardised extension to local service agreements. Based on the new Mindsphere Predictive Service Assistance app, it makes maintenance more efficient for Sinamics drive systems and Simotics motors in the low voltage range.

Through the new service portfolio, including Mindsphere app, Siemens is focusing on the operative demands of machine users who are looking for full transparency for spare parts and servicing. Thanks to digital support via the Mindsphere app, the company can offer customers optimised service cycles, increased service efficiency, easy and streamlined documentation, plus full transparency for historical service activities.

Comprehensive service package

Predictive Services for Drive Systems comprises a comprehensive service package where first a digitalisation check is carried out and then the connection to Mindsphere is established. The Mindsphere Predictive Service Assistance app supports customers continuously by providing an overview of assets and service triggers, for example defined KPIs and operating hours based on predictive analytics. The app also offers transparency and detailed information for spare parts depending on the configuration of the drive system and for recommended and pending service work. In addition, it includes an assistant for planning, implementing and documenting maintenance activities and offers an easy ordering function via the Siemens ServiceMall and the Global Service Platform (GSP).

With Predictive Services for Drive Systems, customers benefit from increased productivity and reduced downtimes for their machines and plants. With support from the associated Mindsphere app, they can also enjoy full transparency for spare parts and maintenance activities to reduce risk through simple weak-point analysis. In addition, the app makes maintenance more efficient and streamlines the ordering process.

Using digital services, Siemens is supporting digital transformation all the way from consulting through to implementation. The company is therefore assisting customers on the path to digitalisation – from strategic consulting for industrial digitalisation through to solution consulting to improve productivity.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Decoupling software from hardware for future-proofed process automation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains why decoupling software from control hardware helps industrial operations modernise without disrupting production or replacing existing infrastructure.

Read more...
Advancing high-performance motorsport design
Siemens South Africa IT in Manufacturing
Siemens explains how its simulation software is helping motorsport engineering group ORECA speed up vehicle design and optimise composite structures for its Le Mans hypercar programme.

Read more...
AI could help relieve pressure on electrical design engineers
IT in Manufacturing
A global survey of 1267 electrical CAD users across 40 countries reveals widespread concerns about workforce shortages, knowledge retention and productivity, as organisations increasingly explore AI-assisted tools to improve engineering efficiency.

Read more...
Next-gen infrared imaging software?
IT in Manufacturing
Optris has launched Optris Connect, a software platform for PI and Xi thermal cameras that combines an intuitive interface with multi-camera connectivity, simplified configuration and integrated error reporting, available free of charge without a licence or subscription.

Read more...
Dynamic control of industrial solar plants and energy storage systems
Beckhoff Automation Editor's Choice IT in Manufacturing
Spanish group, Power Electronics uses Beckhoff embedded PCs and TwinCAT software to achieve switching times of 110 ms across solar and battery storage systems, enabling the delivery of grid support services that command higher energy prices.

Read more...
Turning digital transformation into sustainable performance
IT in Manufacturing
[Sponsored] The path to sustainability runs through better operational intelligence. A South African wastewater project demonstrates how digital technologies are making sustainable operations more practical, scalable and resilient.

Read more...
A software-based controller for the industrial future
Phoenix Contact IT in Manufacturing
With Virtual PLCnext Control, Phoenix Contact is launching a software-based controller solution that enables flexible automation functions in virtualised IT environments.

Read more...
Overcoming the bottling industry’s fragmented visibility
Schneider Electric South Africa IT in Manufacturing Electrical Power & Protection
Beverage bottling facilities are among manufacturing’s most energy-intensive environments, yet many still operate without granular insight into where that energy goes. Rezolia Muller-Potluri of Schneider Electric explains how tiered metering architecture and advanced

Read more...
Advancing intelligent apparel manufacturing with industrial AI and humanoid robotics
IT in Manufacturing
Jack Technology, a global maker of industrial sewing equipment, has chosen Siemens software and engineering tools to bring artificial intelligence and humanoid robots into apparel production, aiming to shorten development cycles and lift manufacturing efficiency.

Read more...
New chiller line for high-density AI data centres
Schneider Electric South Africa IT in Manufacturing
Schneider Electric has launched the Uniflair XCA, a new series of air-cooled and free-cooling chillers designed for artificial intelligence-driven, high-density liquid-cooled data centres.

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