Utility usage monitoring and reporting

Purpose

1.1. Automate the continuous monitoring and reporting of utility (electricity, water, gas) usage in hawker center facilities to ensure optimal operational efficiency and cost-management.
1.2. Automating data collection from smart meters/sensors, providing real-time dashboards, and generating anomaly alerts for early issue detection and compliance reports.
1.3. Automating the consolidation of utility consumption data for maintenance planning, sustainability metrics, and automated escalation of excessive usage patterns to responsible teams.

Trigger Conditions

2.1. Automated data received from smart utility meters via IoT.
2.2. Scheduled automator (e.g., hourly/daily/weekly) utility usage checks.
2.3. Manual override or ad-hoc data push by facilities managers.
2.4. Threshold-based triggers: automate alert/report when consumption exceeds predefined limits.

Platform Variants

3.1. AWS IoT Core
• Feature/Setting: Device data ingestion — automate the configuration of MQTT topics for smart meter streams.
3.2. Azure IoT Hub
• Feature/Setting: Automated cloud-to-device message handler — set up routing to automate alerts when readings pass threshold.
3.3. Google Cloud Pub/Sub
• Feature/Setting: Automate processing of utility telemetry streams to event-driven automators.
3.4. Siemens MindSphere
• Feature/Setting: Use MindConnect API for automated utility device onboarding and monitoring.
3.5. Schneider Electric EcoStruxure
• Feature/Setting: Automated energy dashboard integration with Facility Expert API.
3.6. Honeywell Forge
• Feature/Setting: Triggered automated analytics routines on real-time utility data via Cloud API.
3.7. Enel X
• Feature/Setting: Automated utility usage reports with Open Metering API.
3.8. IBM Watson IoT Platform
• Feature/Setting: Automated action rules for utility event detection and notification.
3.9. Node-RED
• Feature/Setting: Flow automation for extracting and transforming meter data with HTTP/REST nodes.
3.10. Zapier
• Feature/Setting: Auto-trigger report generation workflows on new meter logs.
3.11. Power BI
• Feature/Setting: Scheduled automated reporting with data refresh from IoT sources.
3.12. Tableau
• Feature/Setting: Automate utility data dashboard updates and scheduled alerts.
3.13. Grafana
• Feature/Setting: Real-time monitoring dashboard with threshold-based automated alerts via plug-ins.
3.14. InfluxDB
• Feature/Setting: Automate time-series utility data ingestion with retention policy automation.
3.15. Microsoft Power Automate
• Feature/Setting: Scheduled flow to automate summary report creation and distribution.
3.16. Pipedream
• Feature/Setting: Automate webhook-based utility event triggers to SMS/email/Slack.
3.17. Twilio
• Feature/Setting: Automated SMS alerts configuration using programmable Messaging API.
3.18. SendGrid
• Feature/Setting: Automate email utility report delivery via SendGrid’s transactional email API.
3.19. Slack
• Feature/Setting: Automated notification to channels using Incoming Webhooks for instant anomaly escalation.
3.20. ServiceNow
• Feature/Setting: Automate incident creation for abnormal usage detected via integration API.

Benefits

4.1. Automates early detection and response to leaks or abnormal spikes, preventing bill shock and utilities waste.
4.2. Automated reporting ensures compliance and transparent resource management.
4.3. Automating alerts improves response times of maintenance teams.
4.4. Automated dashboards enable data-driven decisions for sustainability initiatives.
4.5. Streamlines facility management workflows by automating manual data collection and reporting.