Intelligent BigData Processing
SwisensSoftware
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
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
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 in our tutorials
Breaking new ground with Swisens
Further Components of SwisensEcosystems
Hardware Components
Hardware
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
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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
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Debora Käser –
Team Leader
Department for Work Safety / Health Protection
Suva
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