New on the shelf: the Factry Historian Connector for Seeq
Frederik Van Leeckwyck on , updated
Showtime for Seeq users, as we unveil the new Factry Historian-Seeq connector, built to enhance the user experience in complex data analysis processes.
In Industry 4.0, you can’t go without efficient data analysis. That is why Factry Historian comes with Grafana, an undeniably great tool for industrial data analysis and visualisation. It excels in making process data easy to understand and consume, ensuring that raw data is turned into valuable information for the end user.
However, on some occasions, a more in-depth process analysis is required. In such instances, the industry commonly turns to Seeq, an advanced software solution for analysing manufacturing data.
That’s why Factry, as a Seeq Technology Partner, has now developed a native connector for Factry Historian. Here’s a closer look at the practical benefits offered by the Factry Historian Seeq connector and how it enhances certain aspects of data analysis. Spoiler: it involves efficiency gains, and time savings.
The Factry team understood our needs for a Seeq connector that can present data in a clean and user-friendly manner. Our sites in Brazil, Italy and the USA are already benefiting from the new connector, and they’re very happy with it.
Diego GravinaBusiness Applications Analyst at Allnex
1. Metadata / Units of Measure Integration
The integration of units of measure into the Seeq user interface is a first practical improvement. Why? Traditional time series databases often lack a clear notion of units of measure, creating inconveniences for users that have to be solved with workarounds. Well, not anymore!
Factry Historian allows users to properly store this metadata for each measurement – or ‘tag’. The Seeq connector ensures that units of measure are made available correctly. The results are displayed in the Seeq interface and readily accessible for calculations and conversions.
2. Structured Asset Hierarchy
The second notable feature is the capability to utilise Factry Historian's asset structure within Seeq, offering a significant advantage over the flat data structures typically found in time series databases.
Using the connector, users can access this hierarchy in Seeq, offering a more organised approach to navigating through numerous data points.
Furthermore, the connector addresses the issue with complex measurement naming, used to incorporate the asset structure in the measurement name. A practical challenge faced by users dealing with large amounts of measurements, which is now finally resolved.
With the Factry Historian asset structure readily available, users can now avoid agonisingly long and complex measurement names and focus on what matters most: their data analysis within Seeq.
This same asset structure can also be utilised in the Grafana dashboarding interface, which ships with Factry Historian, providing a practical integration point for those using both tools.
3. Event Module Integration
For users of Factry Historian Advanced, the integration of the Event Module brings practical functionality to the Seeq interface.
Events, represented in Seeq as capsules, are essentially time-boxed occurrences stored in Factry Historian’s underlying relational database.
The connector brings these events to Seeq, offering a practical way to detect and analyse production events, such as batches and associated properties, like recipes and average temperatures.
Moral of the connector
The Factry Historian Connector for Seeq offers functional improvements for deep analysis of process data, aimed at solving specific pain points, and particular challenges encountered by Seeq users in their daily tasks.
The solution is centred on practicality, offering significant improvements for users aiming to optimise their complex data analysis processes in Seeq.
Overall, factories adopting the connector can anticipate an enhanced, more efficient user experience in handling and analysing process data.
Seeq is an advanced analytics solution for process manufacturing data. With Seeq, you and your team can work together to analyze data and publish insights from process historians. By leveraging recent innovations in big data and machine learning technologies, Seeq makes any type of analytics faster. The result is shorter times between investigation, decision making, and impact, plus predictive analytics to address issues before they occur. And with Seeq’s publishing features, employees across the organization get access to the insights they need to deliver continuous improvements in quality, yield, and asset availability metrics.