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, [email protected], www.siemens.co.za
Why choose between Capex and Opex if you can Totex? Schneider Electric South Africa
IT in Manufacturing
In a sector marked by cyclical demand, high capital intensity, and increasing regulatory and sustainability pressures, mining, minerals and metals (MMM) companies are re-evaluating how they approach procurement and investment.
Read more...AI and the smart factory Schneider Electric South Africa
IT in Manufacturing
Imagine walking into a factory where machines can think ahead, predict problems before they happen and automatically make adjustments to realise peak performance. This isn’t science fiction, it’s happening right now as AI continues to transform how we run industrial operations.
Read more...Why your supply chain should be a competitive advantage Schneider Electric South Africa
IT in Manufacturing
The last five years have placed unprecedented strain on global supply chains. Leading companies are turning the challenge into an opportunity to transform their supply chains into a competitive advantage.
Read more...Why AI will never truly understand machines Wearcheck
IT in Manufacturing
Cutting-edge technology and solutions powered by AI are embraced by specialist condition monitoring company, WearCheck, where the extreme accuracy of data used to assess and diagnose machine health is paramount.
Read more...Buildings and microgrids for a greener future Schneider Electric South Africa
IT in Manufacturing
Buildings are no longer passive consumers of power. Structures of almost every size are evolving into dynamic energy ecosystems capable of generating, storing and distributing their own electricity. Forming part of this exciting transformation are microgrids.
Read more...Traditional data centres are not fit for purpose
IT in Manufacturing
Traditional data centre designs are falling short, with nearly half of IT leaders admitting their current infrastructure does not support energy or carbon-reduction goals. New research commissioned by Lenovo reveals that data centre design must evolve to future-proof businesses.
Read more...AI agents for digital environment management in SA
IT in Manufacturing
The conversation about artificial intelligence in South Africa has shifted rapidly over the past year. Among the technologies changing the pace of business are AI agents - autonomous, task-driven systems designed to operate with limited human input.
Read more...AI-powered maintenance in future-ready data centres Schneider Electric South Africa
IT in Manufacturing
The data centre marketplace often still relies on outdated maintenance methods to manage mission-critical equipment. Condition-Based Maintenance (CBM) is powered by AI and is fast becoming a necessity in ensuring both competitiveness and resilience.
Read more...Powering up data centre mega development
IT in Manufacturing
Parker Hannifin has secured a major contract to supply key equipment for nearly 30 aeroderivative gas turbines powering a new hyperscale data centre in Texas.
Read more...Building resilient supply chains through smarter e-procurement RS South Africa
IT in Manufacturing
In a time of constant disruption, from supply chain uncertainty to rising operational costs, businesses that embrace digital procurement are better positioned to stay competitive and resilient.
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.