Intelligent BigData Processing

SwisensSoftware

The connection of user, system, data and artificial intelligence. With our software components you can analyse data, evaluate measurement results, monitor your measurement network and apply machine learning. Swisens software components incorporate all our experience in dealing with BigData, artificial intelligence and the operation of real-time measurement systems.

At the same time, Swisens maintains the philosophy of an open approach to data, the use of open source technologies and maximum freedom for our customers.

 

Our software at a glance:

• SwisensDataExplorer
• SwisensDataAnalyzer

SwisensDataExplorer

SwisensDataExplorer is a browser-based software with helpful tools for checking measurement results and monitoring hardware components in the SwisensEcosystem. Whether for a single measurement system or a network – SwisensDataExplorer ensures simple and fast analyses of the measurement data and operating parameters and paves the way for the independent use of machine learning for all user classes.

 

Further benefits of SwisensDataExplorer:

  • Examination of time series of measurement data
  • Histogram evaluation based on particle sizes
  • Monitoring of operating parameters and system status
  • Analyse current and historical time series, particle concentrations and data sets

Instant Access

The measured particles and measurement data can be retrieved and visualised within a few seconds and accessed browser based.

 

Simple data analysis

The integrated analysis tools allow fast and efficient data analysis. Both locally and via remote access.

 

AI interface

Process data sets and train machine learning models – all on one platform.

 

Open Source

Licensed according to the GLP standard, we make independent optimisations and extended areas of application possible.

Learn more in our tutorials

SwisensDataAnalyzer

SwisensDataAnalyzer is a tool set that enables an efficient analysis of large amounts of data in the deep dive of our measurement systems. With the ability to measure aerosol particles in real time, we automatically move into a BigData environment. For advanced data analysis or expressive data visualisation, SwisensDataAnalyzer offers a clear and platform-independent working environment based on Docker Containers, Jupyter Notebook Containers and Python Modules.

 

The SwisensDataAnalyzer is the portal to valuable data and a pioneering solution for working with aerosol data for research and development projects. With the SwisensDataAnalyzer, data analysis is just a few clicks and code lines away.

Reproducible analysis

Thanks to Docker Containers, the data can be analysed in a platform-independent and reproducible way.

 

Flexible data access

The data can be retrieved either from the personal computer, from an external database or directly from a SwisensPoleno.

 

SwisenDataExplorer integrated

For fast import and export of data sets from your network or measuring system.

 

Open source

Licensed according to the GLP standard, we make independent optimisations and extended areas of application possible.

 

Learn more about Docker: https://www.docker.com

Learn more about Jupyter: https://jupyter.org

Learn more about Python: https://www.python.org
 

Learn more in our tutorials

Breaking new ground with Swisens

Further Components of SwisensEcosystems

Hardware Components

Hardware

SwisensPoleno Jupiter is the latest generation of optical particle measurement systems for real-time measurement and monitoring of bioaerosols.

Hardware

SwisensPoleno Mars is the new generation of real-time pollen monitoring using our sophisticated technology and offering network compatibility.

Add-on Components

Tools

SwisensAtomizer is the compact particle disperser for solid and dry particle samples such as pollen, mineral dust and other materials.

Software Components

Software

Swisens DataExplorer is a browser-based software with helpful tools for checking measurement results and monitoring hardware components in the SwisensEcosystem.

Software

Swisens DataAnalyzer is a tool set that enables efficient analysis of large amounts of data in the deep dive of BigData.

Service Components

Service​

With Swisens Accelerators, we offer practical training to operate our measurement systems.

Service

Swisens Care is our service for software updates and maintenance on all Swisens systems.

Service

SwisensData is a service with server-integrated data management in the SwisensEcosystem.

Service

The SwisensAI Factory is a competence centre that offers and imparts practical training and knowledge related to automatic particle identification.

This is what our
satisfied customers say

Benoît Crouzy
Surface Data, Project Manager Swiss Automated Pollen Network
Federal Office of Meteorology and Climatology MeteoSwiss

“Swisens has shown to be a service-oriented partner in any case, addressing requests diligently. Our suggestions have always been heard and have been systematically translated in technical improvements. In short, Swisens AG has shown to be strongly oriented towards client and market needs. Finally, the tests we performed with Swisens AG resulted in a fruitful scientific exchange. In all, it is for us a great pleasure to recommend Swisens AG for operational or research projects in the field of automatic pollen measurements.”

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Prof Martin Gallagher
Centre for Atmospheric Science,
University of Manchester


“I speak on behalf of my colleagues who are Urban Observatory Principal Investigators and Research Collaborators from the University of Manchester that we have rarely seen, or been provided with such exemplary support as that provided by Swisens. Swisens customer support has been remarkable given the current situation, from remote training and commissioning to rapid support for hardware and software tools specific to our needs to extremely well organised seminars that actually focus on customer feedback and needs. In particular we have been impressed with the Swisens open source data approach and their attention to different users specific needs. Swisens technical innovations has already generated enormous interest in a bioaerosol-aerobiology community that until recently has been limited with respect to real-world and near real-time detection and importantly quantification of airborne bioaerosol concentrations. Their approach has developed significant rapport with multi-disciplinary researchers and Swisens should be lauded for this.”

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Mikhail Sofiev
Research Professor
Atmospheric Composition Research Department
Finnish Meteorological Institute

“The Finnish Meteorological Institute is very satisfied with the cooperation of Swisens AG. The agreed research and development programme is progressing well and mutual openness and collaborative atmosphere strongly supports it. Swisens participated in a workshop and supported the scientists in recording the test data based on the cooperation agreement. A particular outcome of the workshop was a new procedure for the calibration of real-time monitoring systems based on the SwisensAtomizer. It has been proven to deliver cleaner results than the approaches tried so far in different countries. FMI is very satisfied with cooperation of Swisens AG. Our suggestions regarding software tools were quickly accepted and implemented by Swisens engineers. We are indeed happy to work with Swisens and start opening real-time data to professionals in Finland.”

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Debora Käser
Team Leader
Department for Work Safety / Health Protection
Suva

“Being able to aerosolize different powder samples in the lab to perform experiments related to occupational health has been one of our challenges. With the SwisensAtomizer at hand, we now have a small device which helps us to produce a stable dust atmosphere to load filters in a consistent manner, serving as calibration filters for later analysis. Swisens AG has always shown great support concerning our demands on the SwisensAtomizer. We are delighted to collaborate with Swisens AG.”

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