We’ll simulate a temperature spike and compute a "high temperature" alert using a . Architecture Pattern: IoT Device → IoT Hub → Azure Function → ADT (patch property) The Function Logic (Python example): import json import logging import azure.functions as func from azure.digitaltwins.core import DigitalTwinsClient from azure.identity import DefaultAzureCredential def main(event: func.EventHubEvent): # Parse telemetry from IoT device telemetry = json.loads(event.get_body().decode('utf-8')) sensor_id = telemetry['sensorId'] new_temp = telemetry['temperature']
# Upload models az dt model create --adt-name adt-warehouse-<unique> \ --models models/*.json az dt model list --adt-name adt-warehouse-<unique> -o table hands-on azure digital twins read online
# Create twins az dt twin create --adt-name adt-warehouse-<unique> \ --dtid "WarehouseMain" \ --dtmi "dtmi:handsOn:Warehouse;1" az dt twin create --adt-name adt-warehouse-<unique> --dtid "ZoneReceiving" --dtmi "dtmi:handsOn:Zone;1" We’ll simulate a temperature spike and compute a
# --- Compute Logic --- # If temp > 30C, find the parent Zone and mark it as "overheated" if new_temp > 30.0: # Query to find parent Zone query = f"SELECT zone FROM digitaltwins zone JOIN sensor RELATED zone.hasSensor WHERE sensor.$dtId = 'sensor_id'" zones = service_client.query_twins(query) for zone in zones: # Add a computed property zone_patch = ["op": "add", "path": "/alert", "value": "Overheating"] service_client.update_digital_twin(zone['$dtId'], zone_patch) logging.info(f"Alert set on zone zone['$dtId']") \ --dtid "WarehouseMain" \ --dtmi "dtmi:handsOn:Warehouse