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
Addressing the cooling needs of the modern data centre Schneider Electric South Africa
IT in Manufacturing
The rise in hardware density in data centres is gaining speed and is largely driven by the demands of artificial intelligence and machine learning, requiring more powerful servers and specialised hardware.
Read more...South Africa’s next cyber security frontier
IT in Manufacturing
AI-powered agents are rapidly transforming how South African businesses operate, from chatbots managing customer inquiries to automated systems processing financial transactions. While these AI-driven assistants increase efficiency and reduce operational costs, they also present a new, and often underestimated, cybersecurity challenge: identity management.
Read more...The DeepSeek effect: navigating AI’s new frontier
IT in Manufacturing
DeepSeek has emerged as a game-changer in artificial intelligence, offering a robust platform redefining how businesses approach AI integration. This change is especially important since it opens up AI to a wider range of organisations, including small and medium-sized enterprises that could have previously been priced out of the market.
Read more...Automation, is it 2049 already? Schneider Electric South Africa
IT in Manufacturing
It would come as no surprise that AI and ML are at the forefront of the increased efficiency movement, and are vital cogs in this sophisticated automated machine. A development that is extremely exciting, is autonomous systems.
Read more...Agentic AI: are we building castles on quicksand?
IT in Manufacturing
Artificial Intelligence is in a strange spot. With the explosion of AI tools and applications, we find ourselves teetering between two inseparable yet intertwined paths – the promise of extraordinary capability and the peril of unmitigated risk.
Read more...There’s a reason the A stands for Advanced in APC Schneider Electric South Africa
IT in Manufacturing
Today’s mineral processing companies face almost universal challenges, efficiently managing resources and high energy consumption, environmental compliance, barriers to technological adoption and the perpetual shortage of skilled labour. While there’s no miracle intervention, there are undoubtedly solutions that improve the above, and one is Advanced Process Control.
Read more...Digital twins in manufacturing Schneider Electric South Africa
IT in Manufacturing
Digital twin technology can help create better products, fast. It can transform the work of product development too.
Read more...New generative AI-powered maintenance offering Siemens South Africa
IT in Manufacturing
The Siemens Industrial Copilot is revolutionising industry by enabling customers to leverage generative AI across the entire value chain – from design and planning to engineering, operations and services.
Read more...Building resilience in extreme environments ACTOM Electrical Machines
IT in Manufacturing
Extreme temperatures, corrosive substances and high pressures are just a few of the elements that make up the unforgiving operational environments characteristic of the petrochemical and oil and gas sectors. A proactive and nuanced approach to industrial maintenance is no longer optional for organisations, it is an absolute necessity to avoid disruptions and create the right conditions for success.
printer friendly version