This is the main (technical) documentation for the Smart Emission Data Platform. It can always be found at smartplatform.readthedocs.org. A somewhat lighter introduction can be found in this series of blogs.
The home page for the Smart Emission project and data platform is http://data.smartemission.nl
The home page for the Smart Emission Nijmegen project is http://smartemission.ruhosting.nl
The project GitHub repository is at https://github.com/smartemission/smartemission.
This is document version 1.0.0 generated on 19 October 2018 at 20:53:28.
The Smart Emission Platform was initiated and largely developed within the Smart Emission Nijmegen project (2015-2017, see also below).
The Geonovum/RIVM SOSPilot Project (2014-2015) , where RIVM LML (Dutch national Air Quality Data) data was harvested and serviced via the OGC Sensor Observation Service (SOS), was a precursor for the architecture and approach to ETL with sensor data.
In and after 2017 several other projects, web-clients and sensor-types started utilizing the platform hosted at data.smartemission.nl. These include:
- the Smart City Living Lab: around 7 major cities within NL deployed Intemo sensor stations
- AirSensEUR - a EU JRC initiative for an Open Sensor HW/SW platform
This put more strain on the platform and required a more structural development and maintenance approach (than project-based funding).
In 2018, the SE Platform was migrated to the Dutch National GDI infrastructure PDOK maintained by the Dutch Kadaster. This gives a tremendous opportunity for long-term evolution and stability of the platform beyond the initial and project-based fundings. This migration targeted hosting within a Docker Kubernetes environment. All code was migrated to a dedicated Smart Emission GitHub Organization and hosting of all Docker Images on an SE DockerHub Organization.
1.2. Smart Emission Nijmegen¶
The Smart Emission Platform was largely developed during the Smart Emission Nijmegen project started in 2015 and still continuing.
Read all about the Smart Emission Nijmegen project via: smartemission.ruhosting.nl/.
An introductory presentation: http://www.ru.nl/publish/pages/774337/smartemission_ru_24juni_lc_v5_smallsize.pdf
In the paper Filling the feedback gap of place-related externalities in smart cities the project is described extensively.
“…we present the set-up of the pilot experiment in project “Smart Emission”, constructing an experimental citizen-sensor-network in the city of Nijmegen. This project, as part of research program ‘Maps 4 Society,’ is one of the currently running Smart City projects in the Netherlands. A number of social, technical and governmental innovations are put together in this project: (1) innovative sensing method: new, low-cost sensors are being designed and built in the project and tested in practice, using small sensing-modules that measure air quality indicators, amongst others NO2, CO2, ozone, temperature and noise load. (2) big data: the measured data forms a refined data-flow from sensing points at places where people live and work: thus forming a ‘big picture’ to build a real-time, in-depth understanding of the local distribution of urban air quality (3) empowering citizens by making visible the ‘externality’ of urban air quality and feeding this into a bottom-up planning process: the community in the target area get the co-decision-making control over where the sensors are placed, co-interpret the mapped feedback data, discuss and collectively explore possible options for improvement (supported by a Maptable instrument) to get a fair and ‘better’ distribution of air pollution in the city, balanced against other spatial qualities. ….”
The data from the Smart Emission sensors is converted and published as standard web services: OGC WMS(-Time), WFS, SOS and SensorThings APIs. Some web clients (SmartApp, Heron) are developed to visualize the data. All this is part of the Smart Emission Data Platform whose technicalities are the subject of this document.
1.3. Documentation Technology¶
Writing technical documentation using standalone documents like Word can be tedious especially for joint authoring, publication on the web and integration with code.
Luckily there are various open (web) technologies available for both document (joint) authoring and publication.
We use a combination of three technologies to automate documentation production, hence to produce this document:
- Restructured Text (RST) as the document format
- GitHub to allow joint authoring, versioning and safe storage of the raw (RST) document
- ReadTheDocs.org (RTD) for document generation (on GH commits) and hosting on the web
This triple makes maintaining actualized documentation comfortable.
The sources of this document are (.rst) text files maintained in the Project’s GitHub: https://github.com/smartemission/smartemission/docs/platform
This document is automatically generated whenever a commit is performed on the above GitHub repository (via a “Post-Commit-Hook”)
Using Sphinx with RTD one effectively has a living document like a Wiki but with the structure and versioning characteristics of a real document or book.
Basically we let “The Cloud” (GitHub and RTD) work for us!