Using Spatial Data Streams In Real-Time
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Talk held at the 4th GeoMonday in Berlin.
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Using Spatial Data Streams In Real-Time
- 1. Using Spatial Data Streams In Real-Time Lars Schmitz Esri Deutschland GmbH Berlin, 22. September 2014
- 2. Real-Time GIS Data 2 © 2014 Esri Deutschland GmbH
- 3. Spatio-temporal Data 3 © 2014 Esri Deutschland GmbH Variable Temporal changes • Population • Agriculture • Disease • Elections Dynamic Spatial movements • Planes • UAV • Vessels • Animals • Hurricanes Discrete Something happing somewhere • Crime • Thunder • Accidents Stationary Spatially fixed • Wetter Station • Traffic • Air Quality • Wind Turbine • Smart Meter • Water Gauges
- 4. Live Demo: Urban Railway in Munich 4 © 2014 Esri Deutschland GmbH
- 5. Live Demo: Lufthansa Tracker 5 © 2014 Esri Deutschland GmbH
- 6. General Workflow 6 © 2014 Esri Deutschland GmbH Connect to Any Data Stream Process and Filter Real-Time Data Respond to Events in Real Time
- 7. 7 ArcGIS Is a Platform Desktop Web Device Server Online Content and Services Portal © 2014 Esri Deutschland GmbH Simple Integrated Open Enabling Web GIS Everywhere
- 8. ArcGIS GeoEvent Extension for Server On-Premise Solution for Real-Time GIS 8 © 2014 Esri Deutschland GmbH Portal Server Fast Scalable Native 64-bit Cloud-compatible Integrated
- 9. ArcGIS GeoEvent Extension for Server Integrates and Exploits real-time data > Integrates real-time streaming data into ArcGIS > Performs continuous processing and real-time analytics > Sends updates and alerts to those who need it where they need it 9 © 2014 Esri Deutschland GmbH
- 10. Connect to Any Data Stream: Input Connectors + Connectors for common data streams … > ArcGIS Server, File, RSS, TCP Socket, UDP Socket, REST Endpoint, Web Socket etc. + … and various formats > Features, CSV, JSON, TEXT, RSS etc. + Additional connectors online 10 © 2014 Esri Deutschland GmbH
- 11. Standard Input Connectors ArcGIS Server Poll an ArcGIS Server for features File Watch a folder for new .csv files 11 © 2014 Esri Deutschland GmbH Watch a folder for new .json files RSS Receive RSS Socket Receive text from a TCP socket Receive text from a UDP socket Web Receive features on a REST endpoint Receive JSON on a REST endpoint Poll an external website for JSON WebSocket Receive JSON on a WebSocket
- 12. Process and Filter Real-Time Data: GeoEvent-Services GeoEvent Processor Input Output 1 12 © 2014 Esri Deutschland GmbH Output 2 Output 3 Processor Processor Filter Filter
- 13. 13 Example: Attributive And Spatial Filtering attributive attributive + spatial attributive © 2014 Esri Deutschland GmbH
- 14. GeoEvent Services: Available Filters and Processors IN 14 © 2014 Esri Deutschland GmbH >= <= attributive Filter spatial > < <> MATCHES IS NULL EXISTS == EXIT OUTSIDE INSIDE ENTER Field Mapper Processor Field Enricher Field Reducer Incident Detector Field Calculator GeoTagger Track Gap Detector
- 15. Continuous Spatial Filtering 15 © 2014 Esri Deutschland GmbH
- 16. Respond to Real-Time Events: Output Connectors + Automatically and simultaneously > Update the map > Send alerts to key personal > Append the database > Interact with other enterprise systems + Alerts can be sent across multiple channels, such as e-mails, texts, and instant messages. 16 © 2014 Esri Deutschland GmbH
- 17. ArcGIS Server Add a feature 17 © 2014 Esri Deutschland GmbH Update a feature Email Send an email File Write to a .csv file Write to a .json file Instant message Send an instant message Socket Publish text to a TCP socket Publish text to a UDP socket Text message Send a text message Web (including KML and RSS) Publish GeoEvents on a REST endpoint Push JSON to an external website WebSocket Publish JSON to a WebSocket Push JSON to an external WebSocket Standard Output Connectors
- 18. Geo Event Processor SDK • Create custom connectors, i.e. adaptors and transports • Create custom processors • Java-based SDK • Library files, samples, JavaDoc API reference and developer guide • Maven repository 18 © 2014 Esri Deutschland GmbH
- 19. Live Demo: Truck Stops 19 © 2014 Esri Deutschland GmbH
- 20. Use Case: Provisioning Data REST Input Feature Service 20 © 2014 Esri Deutschland GmbH Push to JSON Write to Websocket ws://
- 21. Use Case: Collect and Analyze Data Twitter Input Add Tweet Feature 21 © 2014 Esri Deutschland GmbH Write Tweets to Hadoop Geolocated Filter
- 22. Use Case: Monitor Moving Objects Input Equipment 22 © 2014 Esri Deutschland GmbH Outside Alert
- 23. Use Case: Survey Sensor Data Field REST Input Update FeatureService 23 © 2014 Esri Deutschland GmbH Publish on REST Calculator Field Reducer > Alert
- 24. Resources 24 © 2014 Esri Deutschland GmbH
- 25. Key Take Aways 1. Real-Time data is an emerging GIS discipline and enables completely new use cases. 2. You need to master a 3-step-workflow to realize your own real-time solution. 3. ArcGIS GeoEvent Processor can help you with that. 25 © 2014 Esri Deutschland GmbH
- 26. What‘s next? 26 © 2014 Esri Deutschland GmbH GeoDev Meet-up Berlin 08.10., 18.00 – 21.30 Mobile Suite Pappelallee 78/79, Berlin bit.ly/1uABqUd Entwickler-Webinare 21.10. Apps mit dem Web AppBuilder erstellen 04.11. ArcGIS spricht REST 25.11. Ortsbezogene Benachrichtigungen 09.12. Geo-Apps absichern
- 27. Thank you! Lars Schmitz, Esri Germany Product Manager Development, Head Developer & Startup Program l.schmitz@esri.de de.linkedin.com/in/larsschmitz @pilukinum 27 © 2014 Esri Deutschland GmbH
- 28. 28 Niederlassung Münster Martin-Luther-King-Weg 20 48155 Münster Telefon +49 89 207 005 1460 Niederlassung Köln Konrad-Adenauer-Ufer 41-45 50668 Köln Telefon +49 89 207 005 1760 Niederlassung Bonn Rheinallee 24 53173 Bonn Telefon +49 89 207 005 1720 Niederlassung Wiesbaden Dwight-D.-Eisenhower-Straße 9 65197 Wiesbaden Telefon +49 89 207 005 1620 Niederlassung Hannover Schiffgraben 11 30159 Hannover Telefon +49 89 207 005 1520 Niederlassung Leipzig Fechnerstraße 8 04155 Leipzig Telefon +49 89 207 005 1420 Kranzberg Ringstraße 7 85402 Kranzberg Telefon +49 89 207 005 1200 Esri Deutschland GmbH © 2014 Esri Deutschland GmbH
Hinweis der Redaktion
- GIS data typically represents state at a specific moment in time: “historic”, “current”, or “future”. However, there are some important trends that deviate from this static pattern. An increasing number of data from social networks The availability of existing and new sensors of any kind. Real-time GIS data is a continuous stream of events flowing from sensors, where each event represents the latest state of the sensor. There are many examples of such sensors including cars, tweets, traffic, smart home metering etc.
- How do we deal with real-time GIS data? What steps are included. Let‘s have a look at the 3 steps that make up the general workflow. First, we obviously need to connect to our sensors. By nature, each sensor speaks his own language. Or more technically, uses his own protocols to encode and transport the real-time data. Second, we need to diggest the received information. Likely, we do want to filter down the data to a subset that is of interest to us. This could be … And finally, we want to act upon certain events.
- Das neueste Release von ArcGIS for Server (10.2) ermöglicht die Einbindung von Big Data und Echtzeit-Daten. Es wird damit zwei wichtigen aktuellen Trends Rechnung getragen: 1) die ansteigende Verfügbarkeit von Daten aus sozialen Netzwerken, 2) die Verfügbarkeit bestehender und neuer Sensoren in einer wachsenden Vielzahl von „Trägern“.
- Esri has a solution for this, the GeoEvent Processor. http://www.esri.com/software/arcgis/arcgisserver/extensions/geoevent-extension http://pro.arcgis.com/share/geoevent-processor/
- Esri has a solution for this, the GeoEvent Processor: Integrates real-time streaming data into ArcGIS Performs continuous processing and real-time analytics Sends updates and alerts to those who need it where they need it http://www.esri.com/software/arcgis/arcgisserver/extensions/geoevent-extension http://pro.arcgis.com/share/geoevent-processor/
- Let‘s walk through the general workflow again and see how GeoEvent Processor adresses the 3 steps involved. Input connectors, as said already, take over to connect ArcGIS to our data sources. Esri is focusing on common data sources that … However, you might encounter more industry specific data sources. In that case a look at the gallery might be worth the effort.
- Once we have made the real-time data available to us, we probably want to do something with it. This actually falls apart into 2 parts. First, we want to filter down to those data that actually are of interest to us. Then, we acutally want to further process the data, e.g. enrich that data.
- Hier eine Übersicht der verfügbaren Filter und Prozessoren. Field Enricher: Erweitert Geoevents um Attribute aus einem FeatureService oder einer Textdatei auf Basis einer tabellarischen Verbindung (Join). Field Reducer: Reduziert GeoEvents um eine festgelegtes Set von Feldern. Field Calculator: Berechnet neue Datenfelder aus existierenden Feldern über mathematische Ausdrücke oder Textmanipulation. GeoTagger: Berechnet für jeden Geoevent räumliche Beziehungen aus einer Liste von digitalen Zäunen (Geofences) – IN, OUT, ENTER, EXIT Field Mapper: Setzt Input Geoevent Definitions in Bezug zu Output Geoevent Definitionen über ein festgelegtes Feld Track Gap Detector: Ermittelt das Nicht-Eintreten von zu erwartenden Ereignissen und informiert entsprechend. Incident Detector: Ermittelt, aktualisiert und verwaltet Ereignisse für jeden Geoevent auf Basis festgelegter Bedingungen
- Während die Verwendung von attributiven Filtern keiner weiteren Erläuterung bedarf, hier zur Verdeutlichung die Möglichkeiten der kontinuierlichen räumlichen Filterung: Inside/Ouside-Events: werden jeweils ausgelöst, solange ein Objekt sich innerhalb bzw. außerhalb einer Geofence befinden Enter/Exit-Events: werden jeweils in dem Moment des Ein- oder Austretens eines Objektes in einen bzw. aus einem Geofence heraus ausgelöst
- Architektur basiert auf OSGi mit Apache Felix als Framework
- http://www.esri.com/software/arcgis/arcgisserver/extensions/geoevent-extension http://pro.arcgis.com/en/share/geoevent-processor/ Esri Gallery: http://www.arcgis.com/home/group.html?owner=GeoEventTeam&title=ArcGIS%20GeoEvent%20Processor&sortField=title&sortOrder=asc&content=all http://esri.github.io/#GeoEvent https://developers.arcgis.com/en/