Energy consumption monitoring and alerts

Purpose

1.1. Automate energy consumption monitoring to enable real-time tracking, optimize resource use, and meet sustainability targets for opera house facility & operations.
1.2. Automates detection of abnormal usage patterns, notifies staff, and initiates corrective actions before overages or failures.
1.3. Automatedly consolidates data from HVAC, lighting, and equipment to provide insight for cost-saving measures.
1.4. Automator leverages alerts and analytics for compliance, budgeting, and performance benchmarking.

Trigger Conditions

2.1. Automated notification when energy use exceeds pre-set threshold.
2.2. Automating alerts if hourly/daily/weekly consumption deviates from historical averages.
2.3. Automated trigger upon detection of system faults or device offline status.
2.4. Automation starts on detection of energy spikes outside scheduled hours.
2.5. Automator reacts to incoming utility API data or IoT meter readings.

Platform Variants

3.1. AWS IoT Core
• Feature/Setting: Automate collection of device telemetry via MQTT/REST; configure AWS Lambda to send alerts.
3.2. Microsoft Power BI
• Feature/Setting: Connect live energy data, automate dashboard visualizations, use data alerts to trigger Power Automate flows.
3.3. Azure Logic Apps
• Feature/Setting: Automate ingestion from smart meters, create alert workflows via connectors.
3.4. Google Cloud Pub/Sub
• Feature/Setting: Autonomously route sensor data, trigger alerting functions via Google Cloud Functions.
3.5. Siemens Desigo CC
• Feature/Setting: Automate building management alerts on threshold breaches, integrate BACnet/IOT devices.
3.6. Schneider Electric EcoStruxure
• Feature/Setting: Use APIs to automate real-time consumption reports and alarms.
3.7. IBM Watson IoT Platform
• Feature/Setting: Automates anomaly detection and escalations via rules engine.
3.8. Twilio SMS
• Feature/Setting: Automating outbound alert SMS with API POST; e.g., trigger = consumption_above_limit.
3.9. SendGrid
• Feature/Setting: Automate alert emails via API when system logs surpass certain activity.
3.10. Zapier
• Feature/Setting: Automate integration between meters and spreadsheets/Slack/alerts.
3.11. Slack
• Feature/Setting: Automated Slack notifications via webhooks for energy events.
3.12. Mattermost
• Feature/Setting: Automate group chat alerts for specific facility teams when anomalies detected.
3.13. PagerDuty
• Feature/Setting: Automating incident creation via API for urgent energy failures.
3.14. Splunk
• Feature/Setting: Automate index and alert logic on energy log data; configure searches for threshold events.
3.15. Grafana
• Feature/Setting: Automate visualization of consumption and set alert rules for spikes.
3.16. Ubiquiti UniFi
• Feature/Setting: Use site sensors and API to automate alerts to facility managers.
3.17. OpenEnergyMonitor
• Feature/Setting: API integration to automate data logging, dashboard actions, and alert hooks.
3.18. Honeywell Forge
• Feature/Setting: Automate anomaly alerting and push notifications from building management system.
3.19. IFTTT
• Feature/Setting: Automate conditional energy triggers for emails, texts, or device actions.
3.20. BuildingOS (by Lucid)
• Feature/Setting: Automate reporting and alert system using API/Webhooks for custom rules.
3.21. BACnet Gateway
• Feature/Setting: Automate polling and action on BACnet-compatible building devices.

Benefits

4.1. Automation reduces manual errors and accelerates response to irregularities.
4.2. Automating insights into energy patterns drives cost control and sustainability.
4.3. Automated alerts help prevent energy waste and avoid regulatory violations.
4.4. Automatable reporting frees staff for higher-value tasks and strategic planning.
4.5. Automator ensures real-time facility awareness and fosters data-driven operational improvement.