Intelligent use of BigData
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
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.Analysis of data sets of measured particles.
Overview of all measured particles, summarized as measurement events in the Event Viewer.
Overview of all data sets generated by users. A data set counts several measurement events within a campaign duration.
Checking the time series of measurement data and identification results.
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.
Further information in the Swisens FAQsReproducible 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.orgLearn more in our tutorials
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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
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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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