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SensorSDI op
PDOK
met het Smart Emission
Data Platform
Just van den Broecke
Just Objects B.V.
Geo Gebruikersfestival 2018 en SDI.Next
Amersfoort 31 oktober, 2018
Met dank aan
Context
Sensor Data?
• Milieu indicatoren: 

Lucht, Geluid, Meteo
• Geo? Ja! Ruimte en Tijd ==>
“Spatiotemporal”
• Alle geodata is “Spatiotemporal”!
• Relevant? Ja! Van CO2 tot Schiphol
• RIVM: “Samenmeten" Project
• En ook: INSPIRE
Historie
• 2014/2015 - SOSPilot - Geonovum en RIVM

RIVM LML Data via OGC Sensor Observation Service (SOS)

http://sensors.geonovum.nl 

• 2015-2017 - Smart Emission Nijmegen - Consortium

Burgers meten zelf luchtkwaliteit en geluid

http://smartemission.ruhosting.nl 

•2017-2018 - Consolidatie en Opschaling

Smart City Living Lab (meerdere steden),

Green Challenge Nijmegen, AirSensEUR (EU JRC)

SE Platform Migratie naar PDOK - Kadaster

https://data.smartemission.nl
Inclusive Citizen Sensing
▪ Citizen-sensor-networks for fine-grained measurements,
with new low-cost sensing devices
▪ Transparency and democracy of pollution monitoring,
‘making the externalities (e.g. noise, air pollution) visible’
▪ Cost-effective environmental monitoring with Open Source,
Open Data, Open Standards (APIs)
Smart Emission Nijmegen
1. Deployment of a local air quality network using low-cost sensors

- What is the quality of low-cost sensors in general?
- Which type of low cost sensors to deploy?
- How to calibrate the low-cost sensors?
- How many and at what locations (spatial pattern) to deploy the sensors?
- What data platform for data collection and distribution?
- Which standards for data acquisition and distribution?
- Which (interpolation) models for further processing air quality data?
- How to visualize the results? 

2. Involvement of citizens in the deployment and maintenance of the sensor network

– Which method to use for citizen engagement?
– Do we need to train citizens to deploy and maintain the sensor?
3. Involvement of citizens in the analysis of the results of local air quality monitoring

– How to engage citizens?
– How to preprocess and visualize the data for citizens?
– How to interact with citizens?
– How and when to meetup with citizens?
– What applications will the citizens need?
Issues and questions
Smart Emission Nijmegen
Which type of low cost sensors to deploy?
Quality and price
Number of sensors applied in a city
Smart Emission
“Jose”
Aireas
“Airbox”
“Smart Citizen Kit”
National Air Quality
stations
Smart Emission Nijmegen
Smart Emission Nijmegen
Smart Emission Nijmegen
Smart Emission
Platform
Data
Management
WMS WFS SOS STA
Client
Apps/Viewers
SE Platform
The Big Picture
web-APIs
sensors
Collector APIs
Data
Collectors
Data
Processing
Platform
Data
Collectors
WMS WFS SOS STA
Client
Apps
SE Platform
The Big Picture
Decoupling, data push
&pull via Data Collectors
Smart 

Emission
Platform
WMS WFS SOS STA
CityGIS Data
Collector
Intemo Data
Collector
InfluxDB Data
Collector
RIVM LML
SOS
SOS
Influx
HTTP
Whale
API
Whale
API
SOSEmu
Harvesters
ETL
(Current Values)
LML
Influx
HTTP
Sensors
API
API
Outbound
Inbound
Dataflow
Smart Emission Platform
Dataflow and APIs
Data
Processing
Platform
Data Architecture with 3-Step ETL
Postgres/GIS
DB + InfluxDB
SOS
Harvester
RIVM SOS InfluxDB
InfluxDB

Harvester
Intemo
Server
Smart Emission Platform 

Componenten in Functionele Lagen
Web
Heron
Viewer
Smart
App
52North
SOSViewer
Grafana
Website
data.smartemission.nl Beheer
AppServers GeoServer
52North
SOS
GOST
STA
Databases PostGIS InfluxDB
Processing
(ETL)
Calibrator Refiner
SOS
Publisher
STA
Publisher
Harvesters
CityGIS
Harvester
SOS
Harvester
InfluxDB
Harvester
Viewers
https://data.smartemission.nl (data platform)
Heron
Viewer
Smart
App
52North
JSClient
Grafana
In SE
Platform
Extern
National Sensor SDI
Thoughts
Data
Services
Sensors
API
APIs
Dataflow
National SensorSDI
Functional Blocks
Data
Processing
Data
Collection
Metadata/
Registry
- users
- sensors
- apps
- services
- …
Apps
API
API
API
API
API
API
API
API
National SensorSDI Principles
Distributed (Federated)
Architecture follows Organization (and v.v.)
Organizational Specialisms
Common Standards & APIs
Common Open Source
Cloud-Based (e.g. Kubernetes)
Data
ServicesAPIs
Dataflow
Data
Processor
API
API
API
Registry
App1 App2 AppN
API
Data
Collector 1
API
Data
Collector N
API
OGC SensorThings API
OGC SensorThings API
Showcase Modern Standard
(REST) API-based: HTTP Verbs
Data Model is First Class Citizen
Multiple Implementations
(Geo)JSON Encoding
Pub/Sub via MQTT
GOST
SOS-Killer?
SensorThings API
Model
SensorThings API
Entity Mapping
13:43:26
Links
https://data.smartemission.nl (data platform)
https://github.com/smartemission (source code)
https://smartplatform.readthedocs.io (documentation)
https://smartplatform.readthedocs.io/en/latest/evolution.html (SensorSDI)
https://geoforum.nl/c/datasets/sensordata (support and comms)
https://en.wikipedia.org/wiki/SensorThings_API (SensorThings API, STA)
https://www.gostserver.xyz/ (Geodan STA Open Source Implementation)
We would like to acknowledge for their valuable input:
All partners of the Smart Emission Consortium
Dank U!

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Sensor SDI in PDOK with Smart Emission Platform

  • 1. SensorSDI op PDOK met het Smart Emission Data Platform Just van den Broecke Just Objects B.V. Geo Gebruikersfestival 2018 en SDI.Next Amersfoort 31 oktober, 2018 Met dank aan
  • 3. Sensor Data? • Milieu indicatoren: 
 Lucht, Geluid, Meteo • Geo? Ja! Ruimte en Tijd ==> “Spatiotemporal” • Alle geodata is “Spatiotemporal”! • Relevant? Ja! Van CO2 tot Schiphol • RIVM: “Samenmeten" Project • En ook: INSPIRE
  • 4.
  • 5.
  • 6. Historie • 2014/2015 - SOSPilot - Geonovum en RIVM
 RIVM LML Data via OGC Sensor Observation Service (SOS)
 http://sensors.geonovum.nl 
 • 2015-2017 - Smart Emission Nijmegen - Consortium
 Burgers meten zelf luchtkwaliteit en geluid
 http://smartemission.ruhosting.nl 
 •2017-2018 - Consolidatie en Opschaling
 Smart City Living Lab (meerdere steden),
 Green Challenge Nijmegen, AirSensEUR (EU JRC)
 SE Platform Migratie naar PDOK - Kadaster
 https://data.smartemission.nl
  • 7. Inclusive Citizen Sensing ▪ Citizen-sensor-networks for fine-grained measurements, with new low-cost sensing devices ▪ Transparency and democracy of pollution monitoring, ‘making the externalities (e.g. noise, air pollution) visible’ ▪ Cost-effective environmental monitoring with Open Source, Open Data, Open Standards (APIs) Smart Emission Nijmegen
  • 8.
  • 9. 1. Deployment of a local air quality network using low-cost sensors
 - What is the quality of low-cost sensors in general? - Which type of low cost sensors to deploy? - How to calibrate the low-cost sensors? - How many and at what locations (spatial pattern) to deploy the sensors? - What data platform for data collection and distribution? - Which standards for data acquisition and distribution? - Which (interpolation) models for further processing air quality data? - How to visualize the results? 
 2. Involvement of citizens in the deployment and maintenance of the sensor network
 – Which method to use for citizen engagement? – Do we need to train citizens to deploy and maintain the sensor? 3. Involvement of citizens in the analysis of the results of local air quality monitoring
 – How to engage citizens? – How to preprocess and visualize the data for citizens? – How to interact with citizens? – How and when to meetup with citizens? – What applications will the citizens need? Issues and questions Smart Emission Nijmegen
  • 10. Which type of low cost sensors to deploy? Quality and price Number of sensors applied in a city Smart Emission “Jose” Aireas “Airbox” “Smart Citizen Kit” National Air Quality stations Smart Emission Nijmegen
  • 14. Data Management WMS WFS SOS STA Client Apps/Viewers SE Platform The Big Picture web-APIs sensors Collector APIs
  • 15. Data Collectors Data Processing Platform Data Collectors WMS WFS SOS STA Client Apps SE Platform The Big Picture Decoupling, data push &pull via Data Collectors
  • 16. Smart 
 Emission Platform WMS WFS SOS STA CityGIS Data Collector Intemo Data Collector InfluxDB Data Collector RIVM LML SOS SOS Influx HTTP Whale API Whale API SOSEmu Harvesters ETL (Current Values) LML Influx HTTP Sensors API API Outbound Inbound Dataflow Smart Emission Platform Dataflow and APIs
  • 17. Data Processing Platform Data Architecture with 3-Step ETL Postgres/GIS DB + InfluxDB SOS Harvester RIVM SOS InfluxDB InfluxDB
 Harvester Intemo Server
  • 18. Smart Emission Platform 
 Componenten in Functionele Lagen Web Heron Viewer Smart App 52North SOSViewer Grafana Website data.smartemission.nl Beheer AppServers GeoServer 52North SOS GOST STA Databases PostGIS InfluxDB Processing (ETL) Calibrator Refiner SOS Publisher STA Publisher Harvesters CityGIS Harvester SOS Harvester InfluxDB Harvester
  • 19.
  • 23. National SensorSDI Principles Distributed (Federated) Architecture follows Organization (and v.v.) Organizational Specialisms Common Standards & APIs Common Open Source Cloud-Based (e.g. Kubernetes)
  • 26. OGC SensorThings API Showcase Modern Standard (REST) API-based: HTTP Verbs Data Model is First Class Citizen Multiple Implementations (Geo)JSON Encoding Pub/Sub via MQTT GOST SOS-Killer?
  • 28.
  • 30. Links https://data.smartemission.nl (data platform) https://github.com/smartemission (source code) https://smartplatform.readthedocs.io (documentation) https://smartplatform.readthedocs.io/en/latest/evolution.html (SensorSDI) https://geoforum.nl/c/datasets/sensordata (support and comms) https://en.wikipedia.org/wiki/SensorThings_API (SensorThings API, STA) https://www.gostserver.xyz/ (Geodan STA Open Source Implementation) We would like to acknowledge for their valuable input: All partners of the Smart Emission Consortium Dank U!