IT in Manufacturing


Advanced data management from Siemens

November 2018 IT in Manufacturing

Siemens is innovating its data management software for process analytical technology (PAT) with Simatic Sipat version 5.1, which allows users to monitor and control the quality of their products in real-time during manufacturing. The latest version features a web-based user-friendly datamining application to transform massive amounts of data into tabular and graphical data information. Moreover, the new charting capabilities deliver an instant view on data correlation, shortening end user investigation time. Simatic Sipat 5.1 helps companies in the pharmaceutical, food and beverage and fine chemicals industries to shorten time to market and improve product quality.

With the web-enabled Simatic Sipat Dataminer application, data from multiple Sipat data sources and versions can easily be collected, while the intuitive search capabilities and the instant preview of the query results in a comprehensive data retrieval process. Moreover, by applying the data alignment capabilities on this data the end user will have large data volumes correctly aligned within a matter of a seconds, as well as an in-depth data analysis created in tabular or graphical format. The Dataminer delivers a global view on local data.

Additionally, the graphical object of the Dataminer delivers capabilities to zoom into parts of the graph, to compare data points over multiple and different graph types in order to give more insight to the end user. With each dataset plotted on the chart, the metadata (e.g. collector settings, diagnostic info, active alarms) can be consulted. These new charting capabilities (e.g. Spectral Heat Map) deliver an instant view on data correlation, shortening investigation time.

About Sipat

Simatic Sipat is a scalable and modular software solution that enables companies to extend their quality assurance activities on a step-by-step basis within the scope of the PAT initiative. With PAT, product development and production processes can be monitored, controlled and optimised by measuring the critical-to-quality attributes of raw materials, process materials and procedures. This continuous monitoring of product quality can prevent deviations from specifications and therefore reduce production costs. In addition, it allows for real-time release testing, so quality inspections on final products can be reduced or completely eliminated.

For more information contact Jennifer Naidoo, Siemens Digital Factory and Process Industries and Drives, +27 11 652 2795, jennifer.naidoo@siemens.com, www.siemens.co.za



Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

SA company launches AI-based risk screening mobile app
October 2020 , IT in Manufacturing
The Instant Vitals app converts a mobile phone into a key vital signs medical device that could save lives when screening for Covid-19 symptoms.

Read more...
Danfoss debuts Alsense
November 2020, Danfoss , IT in Manufacturing
Danfoss has updated and enhanced its service offering to create a more sustainable, scalable and secure cloud-based portal for managing food retail operations.

Read more...
Digitalising mineral processing operations
November 2020 , IT in Manufacturing
Mining’s accelerated move toward digital solutions is being supported by FLSmidth’s decades of research and development. The company has over 80 projects underway to improve its mining-related offerings.

Read more...
Sinumerik One Dynamics for motion control
November 2020, Siemens Digital Industries , Motion Control & Drives
Siemens has launched three powerful technology packages exclusively for the CNC Sinumerik One.

Read more...
Schneider Electric provides digital technologies to the mining industry
November 2020, Schneider Electric South Africa , IT in Manufacturing
“The organisation has invested significantly to develop a specialised competence in mining applications,” explains Marc Ramsay, vice president industry business unit at Schneider Electric South Africa. ...

Read more...
Smart manufacturing and the new normal
November 2020, Absolute Perspectives , IT in Manufacturing
In manufacturing, it is likely that billions of dollars have been lost in 2020, while a high percentage of manufacturing jobs have been negatively impacted.

Read more...
Will OT take over MES?
October 2020 , IT in Manufacturing
Industry 4.0 forces the convergence where IT needs to knock on the door of a manufacturing plant and sell OT, not IT or MES.

Read more...
Get full value from data science
October 2020, Omron Electronics , IT in Manufacturing
As huge amounts of data become available from the factory floor, information must be extracted and presented to the right audience, at the right time, and in the right way.

Read more...
Predictive analytics for artificial lifts
October 2020, Emerson Automation Solutions , IT in Manufacturing
Machine learning and artificial intelligence applications in artificial lift systems have seen a growth in importance recently and are no longer a nice to have, but essential tools for well optimisation.

Read more...
How can manufacturers survive under the new normal to 2021 and beyond?
October 2020, RJ Connect , IT in Manufacturing
Thanks to COVID-19, the manufacturing industry is entering the era of unmanned operations. How best can companies adapt to the new normal and maintain efficient operations?

Read more...