Scheduled silo temperature and humidity monitoring

Purpose

1.1. Automate the scheduled monitoring, recording, and alerting for temperature and humidity within grain silos.
1.2. Automated data collection from IoT sensors optimizes grain storage conditions, prevents spoilage, and ensures regulatory compliance.
1.3. Automate regular updates and exception alerts to operations and management teams for proactive maintenance and inventory control.

Trigger Conditions

2.1. Scheduled: Automated by predefined times (e.g., hourly, daily).
2.2. Event-based: Trigger automation if sensor readings cross temperature/humidity thresholds.
2.3. Manual override: Initiate automator on demand for audits or special checks.

Platform Variants

3.1. AWS IoT Core
• Feature/Setting: Automate data ingestion from silo sensors with Rule Actions.

3.2. Azure IoT Hub
• Feature/Setting: Automate Event Grid integration for real-time telemetry.

3.3. Google Cloud IoT Core
• Feature/Setting: Automates Pub/Sub topic push for sensor event streams.

3.4. Siemens Mindsphere
• Feature/Setting: Automator for Time Series Data ingestion and alerting app.

3.5. Ubidots
• Feature/Setting: Automates Device API for reading/writing silo metrics.

3.6. ThingSpeak
• Feature/Setting: Automate scheduled HTTP requests to read sensor channels.

3.7. Losant
• Feature/Setting: Automator for Workflow Triggers from silo devices.

3.8. Particle Cloud
• Feature/Setting: Webhook automator posting to monitoring dashboards.

3.9. Zapier
• Feature/Setting: Automate scheduled Webhook polling and alert Emails/SMS.

3.10. Make (formerly Integromat)
• Feature/Setting: Automates HTTP modules to fetch IoT data at intervals.

3.11. Microsoft Power Automate
• Feature/Setting: Automator runs on Recurrence trigger—collect and archive data.

3.12. PRTG Network Monitor
• Feature/Setting: Predefined Sensor Automation with Threshold Alerts.

3.13. Splunk
• Feature/Setting: Automate HTTP Event Collector integration and scheduled queries.

3.14. DataDog
• Feature/Setting: Automated API pushes to create dashboards and anomaly detection.

3.15. Grafana
• Feature/Setting: Automates Data Source updates and Alert Notification Channels.

3.16. Twilio
• Feature/Setting: Automate Messaging API for sending real-time SMS alerts.

3.17. SendGrid
• Feature/Setting: Automates Triggered Emails for event notifications.

3.18. Slack
• Feature/Setting: Automated Webhook to send channel alerts on status change.

3.19. PagerDuty
• Feature/Setting: Automate Event API for mobile push and call escalation.

3.20. ServiceNow
• Feature/Setting: Automate Incident Creation for abnormal environmental events.

3.21. Honeywell Forge
• Feature/Setting: Automates Data Connector for industrial device telemetry.

3.22. Blynk
• Feature/Setting: Automator for widget updates and push notifications.

3.23. Home Assistant
• Feature/Setting: Automates MQTT Sensor and Notification integrations.

3.24. KNIME
• Feature/Setting: Automated Data Workflow execution for time-based ingestion.

3.25. SAP IoT
• Feature/Setting: Schedule-based Data Collection and Rule Engine automation.

Benefits

4.1. Automates monitoring to minimize manual labor and errors.
4.2. Automatedly generates alerts for proactive risk mitigation.
4.3. Automator improves audit trails and compliance reporting.
4.4. Automatable trend analytics enhance predictive maintenance.
4.5. Automation ensures tighter inventory controls and cost savings.