Research and innovation
Thanks to the results of innovative research projects involving top-class partners from science and industry, our product range is constantly being improved and expanded.
Our new and innovative research project
The last few years have shown the great potential of artificial intelligence technologies in a wide range of application areas.
In future, our customers at OneBase®WORLD should also benefit from this technological progress.
The use of machine learning and heuristic algorithms will further improve the performance of our solutions for complex optimization problems in the future.
OneBase® Prescriptive Analytics Tool
In order to achieve this, we have teamed up with an expert in this field – RISC Software GmbH – and are implementing a comprehensive extension of OneBase® with artificial intelligence (AI) and machine learning (ML) methods.
This research project is called NextBase.
In the first year of the project, the focus will mainly be on use in our intralogistics solutions; in the following year, use cases from process and system control will also be implemented.
OneBase® can be used for optimization tasks in all of our automation projects.
We will pay particular attention to the dynamic nature of many practical optimization problems.
Real-world conditions are constantly changing, which of course requires dynamic online adaptation of the optimization algorithms, which can be fully automated by using machine learning and heuristic algorithms.
We also see great potential in machine learning techniques when it comes to forecasting future events, such as new orders, disruptions or unplanned stock inflows or outflows.
OneBase® Prescriptive Analytics Tool
In order to achieve this, we have teamed up with an expert in this field – RISC Software GmbH – and are implementing a comprehensive extension of OneBase® with artificial intelligence (AI) and machine learning (ML) methods.
This research project is called NextBase.
In the first year of the project, the focus will mainly be on use in our intralogistics solutions; in the following year, use cases from process and system control will also be implemented.
OneBase® can be used for optimization tasks in all of our automation projects.
We will pay particular attention to the dynamic nature of many practical optimization problems.
Real-world conditions are constantly changing, which of course requires dynamic online adaptation of the optimization algorithms, which can be fully automated by using machine learning and heuristic algorithms.
We also see great potential in machine learning techniques when it comes to forecasting future events, such as new orders, disruptions or unplanned stock inflows or outflows.
OneBase® as a knowledge base
Machine learning can only be operated in a meaningful way if a corresponding amount of data is available from which the algorithms can learn and continuously improve.
This is where our OneBase®CoREprovides the ideal environment for creating a central knowledge base.
All information, from sensor readings and machine data to the specifications from the ERP systems, is integrated into our projects via OneBase® in a central database.
This data can be made available to the AI algorithms in real time.
Comprehensive analyses are also made possible.
The use of OneBase®CoREas a knowledge base will make it possible to easily expand existing projects with methods from ML and AI.
OneBase® as a knowledge base
Machine learning can only be operated in a meaningful way if a corresponding amount of data is available from which the algorithms can learn and continuously improve.
This is where our OneBase®CoREprovides the ideal environment for creating a central knowledge base.
All information, from sensor readings and machine data to the specifications from the ERP systems, is integrated into our projects via OneBase® in a central database.
This data can be made available to the AI algorithms in real time.
Comprehensive analyses are also made possible.
The use of OneBase®CoREas a knowledge base will make it possible to easily expand existing projects with methods from ML and AI.
Enhancements and improvements to OneBase®CoRE
In order to create a high-performance, secure and reliable knowledge base, we will also be making some technical improvements to the OneBase®CoREas part of the research project.
A major focus will be on improvements in the area of security.
In order to increase the performance of data analyses from the knowledge base, we will also implement support for time series databases, which are specially designed for handling sensor data and measured values.
Enhancements and improvements to OneBase®CoRE
In order to create a high-performance, secure and reliable knowledge base, we will also be making some technical improvements to the OneBase®CoREas part of the research project.
A major focus will be on improvements in the area of security.
In order to increase the performance of data analyses from the knowledge base, we will also implement support for time series databases, which are specially designed for handling sensor data and measured values.
Completed ABF research projects
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MMAssist II
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ForZDM
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iMATH
MMAssist II is the FFG’s flagship project on “Digital and Physical Assistance Systems”, which is being implemented together with 22 partners.
ABF is involved in the area of “Digital Guidance”.
The aim of the assistance system we developed is to support employees by providing instructions both visually (through images and text) and acoustically by “reading out” the work steps (TTS=Text2Speech).
The following functionalities and tools were examined and implemented:
- Data transfer from the ERP system (orders, processes, materials) and generation of assistance information
- Provision of information via screens at workstations, tablets and smartwatches (shift supervisor / team leader)
- Evaluation of the use of smartwatches
- Finer granulation of instruction texts based on natural language processing (NLP) as an extension of the Text2Speech functionality
- Automatically generated notifications in the event of material changes or changes to the work plan or parts list
MMAssist II is the FFG’s flagship project on “Digital and Physical Assistance Systems”, which is being implemented together with 22 partners.
ABF is involved in the area of “Digital Guidance”.
The aim of the assistance system we developed is to support employees by providing instructions both visually (through images and text) and acoustically by “reading out” the work steps (TTS=Text2Speech).
The following functionalities and tools were examined and implemented:
- Data transfer from the ERP system (orders, processes, materials) and generation of assistance information
- Provision of information via screens at workstations, tablets and smartwatches (shift supervisor / team leader)
- Evaluation of the use of smartwatches
- Finer granulation of instruction texts based on Natural Language Processing (NLP) as an extension of the Text2Speech functionality
- Automatically generated notifications in the event of material changes or changes to the work plan or parts list
ForZDM is a research project funded by the EU as part of the Horizon 2020 program.
The aim of the twelve partners from Spain, Italy, Germany, Austria, Sweden and Norway was to develop methods that use data from ERP, QM, MES and plant technology to draw conclusions about potential problems and their targeted avoidance.
ABF has developed a data platform that aggregates data from the source systems and prepares it for evaluations, correlation analyses and rule sets.
ForZDM is a research project funded by the EU as part of the Horizon 2020 program.
The aim of the twelve partners from Spain, Italy, Germany, Austria, Sweden and Norway was to develop methods that use data from ERP, QM, MES and plant technology to draw conclusions about potential problems and their targeted avoidance.
ABF has developed a data platform that aggregates data from the source systems and prepares it for evaluations, correlation analyses and rule sets.
Together with partners from Austria and the UK, image analysis methods will be used to find defects on wires and sheets as they leave the rolling mill.
The project is funded by the Eurostars-2 program, which supports the development of innovative business ideas by SMEs.
ABF is responsible for setting up a data platform in which the enormous amounts of data from the recorded images are stored and in whose database the image coordinates and the coordinates of the surface defects detected in the images through image analysis and deep learning are stored.
Cross-image evaluations are also possible via the data platform.
A corresponding user interface enables data control and specific higher-level evaluations.
Together with partners from Austria and the UK, image analysis methods will be used to find defects on wires and sheets as they leave the rolling mill.
The project is funded by the Eurostars-2 program, which supports the development of innovative business ideas by SMEs.
ABF is responsible for setting up a data platform in which the enormous amounts of data from the recorded images are stored and in whose database the image coordinates and the coordinates of the surface defects detected in the images through image analysis and deep learning are stored.
Cross-image evaluations are also possible via the data platform.
A corresponding user interface enables data control and specific higher-level evaluations.
