Asset Monitoring with Beacons, Lora, NodeJS and IoT Cloud
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This document summarizes a presentation on asset monitoring using Internet of Things (IoT) technology. It discusses how BLE beacons and LoRa nodes can be used to track physical assets in real-time by collecting sensor data via gateways. A modern IoT architecture is presented involving connectivity, middleware, and data analysis layers. Key concepts of an IoT platform are explained, including how device models define data structures and integrate physical devices. The presentation demonstrates publishing sensor data from beacons and LoRa nodes to an IoT cloud platform, and developing an asset monitoring dashboard application to visualize real-time asset locations and sensor readings on a map.
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Asset Monitoring with Beacons, Lora, NodeJS and IoT Cloud
- 2. ASSET MONITORINGBLE Beacons, LoRa, Node.js and the IoT Cloud Robert van Mölken Gertjan van het Hof
- 3. INTRODUCTIONS • Robert van Mölken • IoT / Integration Consultant • Oracle ACE (≡ of Java Champion) • Frequent blogger & presenter and Board Member on Dutch Oracle User Group • Author of 1st Oracle PaaS book: Implementing Oracle Integration Cloud Service • Linkedin: linkedin.com/in/rvmolken • Blog: technology.vanmolken.nl • Twitter: @robertvanmolken • Email: robert.van.molken@amis.nl • Gertjan van het Hof • IoT Solution Architect • IoT Enthusiast • Initiator of TTN Rivierenland • Linkedin: linkedin.com/in/gertjanvanhethof • Twitter: @GertjanvhHof • Email: gertjan.van.het.hof@amis.nl • Phone: +31 (0)6 29540619
- 4. ON THE AGENDA • IoT Connecting the Physical & Digital world • Concepts behind Asset Tracking & Monitoring • Modern IoT architecture (IoT Reference model) • Concepts behind Internet of Things Platform • Internet of Things Platform Walkthrough
- 5. 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
- 6. CONCEPTS BEHIND ASSET TRACKING & MONITORING • 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 • Asset Monitoring • 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. • Improve efficiency • Reduce time spent among other searching for, and maintaining equipment through real-time status (sensor data) 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. WHY IMPORTANT IN THE HEALTHCARE
- 8. TECHNOLOGY BEHIND ASSET TRACKING • Communication Characteristics • Communcation protocols • Tracking technology • Gateway positioning • Position calculation
- 10. COMPARISON IOT COMMUNICATION PROTOCOLS Source: https://www.slideshare.net/PeterREgli/lpwan
- 11. Public Space Hospital Area INDOOR VS OUTDOOR ASSET TRACKING Hospital Public Space: • LoRa Hospital Area: • Small/Medium: Beacons • Large: LoRa Hospital: • Beacons
- 12. GATEWAY POSITIONING IN HOSPITAL FLOOR PLAN = Gateway
- 13. ASSET TRACKING BLE Not accurate, but OK for indoor and small/medium hospital area’s. d = 10 ^ ((txPower-RSSI) / 10n) (n ranges from 2 to 4)
- 14. TRIANGULATION LORA Not accurate enough! Due to reflections. So, GPS is needed!
- 15. WHY LOCATION CALCULATION IS DIFFICULT http://cdn.intechweb.org/pdfs/13525.pdf
- 16. New / modern IoT architecture
- 17. MODERN IOT ARCHITECTURE iotwf.com - IoT Reference Model http://cdn.iotwf.com/resources/71/IoT_Reference _Model_White_Paper_June_4_2014.pdf
- 18. 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_Reference _Model_White_Paper_June_4_2014.pdf
- 19. Concepts behind Internet of Things platform
- 20. 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
- 21. 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
- 22. CONCEPTS – DEVICE MODELS & REGISTRATION Device Model Gateway Registration
- 23. CONCEPTS – DEVICE MODELS & IOT APPS Attach device models to application
- 24. Internet of Things Platform Walkthrough
- 25. OVERVIEW OF PLATFORM IoT Cloud Beacon Gateway LoRa Gateway SDK Asset Management
- 26. 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
- 27. DISCOVER BEACONS (BLE) PACKETS Beacon Gateway picks up BLE packets and send to MQTT Broker
- 28. 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
- 29. PUBLISH DATA TO IOT CLOUD MQTT Gateway subscribes to topic to publishes data to IoT Cloud
- 30. 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
- 31. Asset monitoring IoT Application
- 32. ASSET MONITORING DASHBOARD • Map • Incidents • Places • Asset Types • Assets • Rules
- 34. CREATE PLACE (USING FLOORPLAN)
- 35. DRAW GEO BOUNDARY OF PLACE
- 36. CREATE ASSETS BY ASSIGNING DEVICES TO ASSET TYPES
- 37. ASSET VISIBLE ON MAP (GEO BOUNDARY)
- 38. ASSET VISIBLE ON MAP (GEO BOUNDARY)
- 39. AUTOMATE MONITORING OF ASSETS (RULES)
- 42. ANY QUESTIONS? For future Enterprise IoT solutions contact: Robert van Mölken / Gertjan van het Hof Conclusion – AMIS Edisonbaan 15 3439 MN Nieuwegein Tel: +31 (0)30 601 6000 Email: robert.van.molken@amis.nl Email: gertjan.van.het.hof@amis.nl
- 43. please rate my talk in the official IoT Tech Day app
Editor's Notes
- 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