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Internet of Things propositie - Enterprise IOT - AMIS - Conclusion

Internet of Things propositie - Enterprise IOT - AMIS - Conclusion

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Bridging the gap between Administrative and Operational IT
Vision, Architecure and Project experience. This slide deck shows our vision on this market for industrial enterprise IOT

Bridging the gap between Administrative and Operational IT
Vision, Architecure and Project experience. This slide deck shows our vision on this market for industrial enterprise IOT

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Internet of Things propositie - Enterprise IOT - AMIS - Conclusion

  1. 1. Enterprise IOT Architecture and execution for your IOT Strategy Bridging the gap between Administrative and Operational IT • Vision • Architecure • Project experience
  2. 2. Data from devices are integrated in real time to information system Closing the gap between information system and the field Amount of connected devices expected to rise to 50 billion in 2020 Benefits all sectors, including agriculture, retail, industry and healthcare Add intelligence by adding analytical dimension and machine learning Launch actions in enterprise application based on real-time data IOT CONNECTING THE PHYSICAL & DIGITAL WORLD
  3. 3. IOT reference architecture DEVICE MANAGEMENT GATEWAY META DATA RAW DATA EVENT HUBSTREAMINGIOT DEVICE DATA FACTORY DIGITAL TWIN DASHBOARD
  4. 4. IOT Solution Conclusion – Contact robbrecht@conclusion.nl Contact us Robbrecht van Amerongen Business Development +31 6 410 10 286 robbrecht@conclusion.nl
  5. 5. Business drivers for IOT solutions • Improve efficiency • Real time remote monitoring, searching for parts with due maintenance, locate objects / individuals, jut in time / predictive maintenance, locate bottle necks • Reduce costs • Reduce time for physical inspections, improve utilization of idle equipment, balance of physical workload, reduce number of corrections (first time right), decrease stock of spare parts • Better decision making • Full view of physical world in digital world, improve forecast models with real data, improve algorithms and machine learning, cause and effect analysis • Improve sustainability • Measure status of sustainability goals in energy efficiency and CO2 reduction, create energy efficient production processes, smart gird usage
  6. 6. Concepts behind sensoring and tracking • Asset Tracking • Method of tracking physical assets • Scanning barcode/QR labels attached to the assets • Using tags using GPS or RFID which broadcast their location • Low-power devices like BLE Beacons and LoRa Nodes/Gateways • Sensoring • Method of monitoring health of physical assets • Monitoring temperature, motion, moisture, pressure, other conditions… • Using sensors emitting data collected by gateways • Data is near real-time available on central dashboard
  7. 7. Technology behind Asset tracking • Communication Characteristics • Communcation protocols • Tracking technology • Gateway positioning • Position calculation
  8. 8. Communication Characteristics Source: https://www.slideshare.net/PeterREgli/lpwan
  9. 9. Comparison IoT communication protocols Source: https://www.slideshare.net/PeterREgli/lpwan
  10. 10. Public Space Local Area Indoor vs Outdoor Sensoring Office Public Space: • NB-IOT, LoRa, Sigfox Local Area: • Wifi / Cable • Small/Medium: Beacons • Large: LoRa Office: • Beacons / wifi
  11. 11. Gateway positioning and map on Floor plan = Gateway
  12. 12. Asset Tracking BLE Not accurate, but OK for indoor and small/medium area’s. d = 10 ^ ((txPower-RSSI) / 10n) (n ranges from 2 to 4)
  13. 13. Triangulation LoRa Not accurate enough! Due to reflections. So, GPS is needed!
  14. 14. Logic Coponent Design Enterprise IoT Architecture IOT Solution Conclusion – Contact robbrecht@conclusion.nl
  15. 15. Modern IOT architecture iotwf.com - IoT Reference Model http://cdn.iotwf.com/resources/71/IoT_Referenc e_Model_White_Paper_June_4_2014.pdf
  16. 16. Modern IOT architecture Connectivity and Data Element Analysis Device Control • Configure / Status (from the device provider) Device Interactions • Discovery / Addressing / Protocol conversion Middleware • Listeners (Lora, BLE, ZigBee), brokers (MQTT) • Event grouping / batch interactions Data • Normalize / Filter / Expand / Aggregate • Notify/alert Security • Roles / Privileges iotwf.com - IoT Reference Model http://cdn.iotwf.com/resources/71/IoT_Referenc e_Model_White_Paper_June_4_2014.pdf
  17. 17. Concepts behind Internet of Things platform IOT Solution Conclusion – Contact robbrecht@conclusion.nl
  18. 18. Concepts behind Internet of Things platform • Cloud platform to connect the physical world to existing IT • Connect all existing Devices & Sensors • Each device/sensor identified by a device model in IoT Cloud • Programmable devices can be directly connected using client libraries • Sensors can be connected through programmable gateway • Analyze streaming data in Real-Time • Use raw-data streams as input for creating custom analytics • Apply data analysis patterns e.g. Top/Bottom N, Up/Down Trend • Route/Publish analyzed stream • Integrate with enterprise applications or cloud services
  19. 19. Concepts – Device Models & Registration • Device model first approach • Device models define data and behaviors implemented by devices • They are used to derive the analytics and integration strategy • Data structure can contain more fields then sensor data • Registration / Provisioning through Gateway device(s) • Gateway device acts as central IoT hub • Gateways are provisioned, indirectly connected devices are not • Indirectly connected devices are registered by gateway on the fly • IoT application attaches device models and monitor devices
  20. 20. Internet of Things Platform Walkthrough IOT Solution Conclusion – Contact robbrecht@conclusion.nl
  21. 21. Advanced IOT reverence architecture API platform / ERP backend IoT Edge Customer Specific Meta Data & Reference Data Raw Data Event Hub Streaming IoT Hub Device Data Structured Data Reports 3rd party Manual Telemetry Data Upload and download Unstructured Data Digital TwinSensor and Treshold (green, yellow, red) Data Factory
  22. 22. Overview of Platform IoT Cloud Beacon Gateway LoRa Gateway SD K Asset Management
  23. 23. Discover Beacons (ble) packets • Making use of Estimote (sticker) beacons • Small BLE devices that send nearable packets • Includes temperature and motion sensor data for asset monitoring • BLE packets picked up Edge Router / Gateway • Raspberry PI (zero W or 3) or ESP32 can discover BLE packets • Gateway runs NodeJS application using Bleacon module • Bleacon is a module (uses Bleno), to decode BLE packets (i.e. iBeacon and Nearable). • Edge Router smoothens and send data to MQTT broker
  24. 24. Publish data to IoT Cloud • Intermediate Gateway subscribes to MQTT broker • Can run in the Cloud or on a small computer (RPI, Pine64) • Runs NodeJS/RED application, subscribes to MQTT topic • Gateway Node app interacts with IoT Cloud • Activates / Connects gateway to IoT Cloud • Based on device type, device model is downloaded and assigned • Device is registered to IoT Cloud if unknown (new device after restart) • Device data is transformed to model format • Device data is send to IoT Cloud Application Container Cloud Internet of Things Cloud
  25. 25. Publish data to IoT Cloud MQTT Gateway subscribes to topic to publishes data to IoT Cloud
  26. 26. loRa to IoT ClouD integration • Basically the same concept as for Beacons • LoRa enabled Gateway is needed • Make use of free (TTN) or commercial (KPN) LoRa netwerk • Gateway Node app interacts with IoT Cloud • Identically as for Beacons • Bi-Directional communication • Data smoothening Internet of Things Cloud Gateway
  27. 27. Project experience : Asset Monitoring Dashboard • Map • Incidents • Places • Asset Types • Assets • Rules
  28. 28. Project experience : ASSET visible on map (GEO Boundary)
  29. 29. Project experience : Automate digital twin monitoring
  30. 30. Project experience : Process incidents
  31. 31. Project experience : Predictive Maintenance
  32. 32. Asset monitoring IoT Application Contact us Robbrecht van Amerongen IOT Development +31 6 410 10 286 robbrecht@conclusion.nl IOT Solution Conclusion – Contact robbrecht@conclusion.nl

Hinweis der Redaktion

  • IoT closes the gap between information systems and the field. In the past field data was not integrated into the information system. Most often, field data were incorporated later, in “batch” mode or by manual entry, which made it impossible to use them in real time.

    With the Internet of Things, data are integrated in real time - connected objects are immediately linked, in a ready-to-use state, to the company’s information system - which offers a host of new opportunities for companies, especially in terms of creating new services.
    Incorporate new data sources with the existing enterprise data. Currently main weakness is a lack of integration between the various applications of the Internet of Things.
    By connecting data from the Internet of Things to enterprise applications actions can be launched in real time
    Add intelligence by integrating the analytical dimension and machine learning into devices. Technologies making it possible to analyze and manage data in streaming mode, that is, in real time, in order to draw useful knowledge for companies.


    Under five billion connected objects were registered in 2010, while more than 50 billion are expected in 2020

    Benefits all sectors, including health, agriculture, retail and industry



  • Improve efficiency
    - Reduce time spent searching for, delivering, maintaining, and cleaning equipment through real-time status and location of equipment.

    Reduce costs
    - Increase equipment utilization and trace assets to prevent theft and abusive usage

    Better decision making
    - Forecasts future asset maintenance, prevent unnecessary purchases of new assets

    Help prevent the spread of infection
    - Provide location history that pinpoints equipment associated with an infectious patient.
  • Level 1: IoT “devices” – Analog to digital conversion, generating data, messages are queued (over-the-net).

    Level 2: Communicating with and between Level 1 devices, Reliable delivery, switching/routing, various protocols & protocol translation, network security

    Level 3: Data filtering, cleanup & aggregation, Packet inspection, data analytics, thresholding, event generation

    Level 4: Convert data-in-motion to data-at-rest, convert device data structure to storage data structure, reduce data through filtering

    Level 5: Create application schemas and views of data, combine multiple sources, filtering/selecting/projecting/reformatting data, reconciles differences (shape, format….)

    Level 6: Control Applications, Vertical and Mobile Applications, BI and Analytics

    Level 7: Involving end-user (people) and business processes
  • Device Control
    - Configure (from the device provider)
    - Status (from the device provider)

    Device Interactions - Discovery - Addressing - Protocol conversion
    Middleware - Listeners (Zigbee), brokers (MQTT) - Event grouping / batch interactions
    Data - Normalize (standardize codes for the app) - Filter (against pre-set criteria from the app) - Expand (decode/expand cryptic codes) - Aggregate (generate statistics) - Notify/alert (to the app)
    Combine the functions above - Schedule (when to comm with the device) - BPM (when multiple steps are needed)
    Security - Roles - Privileges
  • Cloud platform to connect the physical world to existing IT

    Connect all existing Devices & Sensors
    - Each device/sensor identified by a device model in IoT Cloud
    - Programmable devices can be directly connected using client libraries
    ---- Bidirectional messaging between smart devices and IoT Cloud
    ---- Handle full lifecycle of security (registration, activation and identity)

    - Sensors can be connected through programmable gateway
    ---- Using extensible protocol adapters gateways can communicate with sensors
    ---- Register sensors and handle secure, bidirectional communication
  • Map: shows all assets on map including floorplans
    Incidents: shows incidents based on triggered rules
    Places: create geofence locations, based on GPS coordinates
    Asset Types: create asset types which you want to monitor
    Assets: assign devices to asset types. Can assign available to asset monitoring IoT application
    Rules: define rules to register incidents based on asset data. E.g. define a rule when asset leaves defined geofence
    Settings: application settings to change name and/or logo

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