Monitoring and logging environmental controls (temperature, humidity)

Purpose

1.1. Automate environmental monitoring for egg farms to ensure optimal temperature and humidity for egg quality and hen health.
1.2. Automates collection, logging, and real-time alerts for deviations, enabling data-driven farm management and regulatory compliance.
1.3. Purposefully centralizes environmental data, reducing manual labor, error, and downtime while supporting predictive maintenance and automated reporting.

Trigger Conditions

2.1. Sensor reading surpasses configured temperature/humidity thresholds.
2.2. Periodic intervals (e.g., every 10 minutes) for routine logging.
2.3. Sensor fault or communication dropout detection for automated alerts.
2.4. Manual override for urgent, automatable farm operation events.

Platform Variants

3.1. AWS IoT Core
• Feature/Setting: Automated device shadow update; configure IoT Rule Action to Lambda for logging.
3.2. Google Cloud IoT Core
• Feature/Setting: Pub/Sub topic triggers; automate device telemetry to BigQuery for logging.
3.3. Microsoft Azure IoT Hub
• Feature/Setting: Event Grid integration; automates alerts to Logic Apps workflow.
3.4. Siemens MindSphere
• Feature/Setting: MindConnect; automates sensor data ingestion and automated event rules.
3.5. Datacake
• Feature/Setting: Automatable dashboards; create triggers for temperature/humidity notifications.
3.6. Losant
• Feature/Setting: Edge workflows; automate conditions for device alerts and device state logging.
3.7. Node-RED
• Feature/Setting: Flow-based automation; use MQTT in nodes to process incoming sensor data.
3.8. Blynk
• Feature/Setting: Automates data logging via DataStream and automates notifications with Events widget.
3.9. UbiBot
• Feature/Setting: Automated alarms for setpoints; cloud sync for historical automated data.
3.10. Home Assistant
• Feature/Setting: MQTT Sensor; automates notification with Automation Scripts.
3.11. Temboo
• Feature/Setting: Choreo automation; configure for IoT monitoring and cloud database posting.
3.12. Airtable
• Feature/Setting: Automator scripts on new incoming records for temperature/humidity logs.
3.13. Zapier
• Feature/Setting: Webhooks trigger automated actions from IoT feeds; automated Slack/email notifications.
3.14. Integromat (Make)
• Feature/Setting: Automates parsing sensor data via Webhook and log to Google Sheets automation.
3.15. Particle.io
• Feature/Setting: Particle Cloud’s automated Webhook integration for sensor data logging.
3.16. IBM Watson IoT
• Feature/Setting: Automated device event processing; rule engine for alerts and analytics.
3.17. ThingSpeak
• Feature/Setting: Automates data collection and condition-based event notifications.
3.18. Cayenne
• Feature/Setting: Automated triggers for threshold alerts and historical chart logging.
3.19. PRTG Network Monitor
• Feature/Setting: Automate sensor checks, log intervals, and alarm via Notification Triggers.
3.20. Splunk
• Feature/Setting: HTTP Event Collector for real-time automated sensor data ingestion and alerting.
3.21. Grafana
• Feature/Setting: Integrate with InfluxDB; automate dashboard updates and automated alerting.
3.22. ThingsBoard
• Feature/Setting: Automated rule chains; configure alarms for temperature/humidity outliers.
3.23. Altair SmartWorks IoT
• Feature/Setting: Workflow automation for device data and automated KPI tracking.
3.24. Adafruit IO
• Feature/Setting: Feed triggers to automate emails or SMS on environmental anomaly.

Benefits

4.1. Automates monitoring, reducing manual intervention, and optimizing egg farm climate 24/7.
4.2. Automated logs support audits, traceability, compliance, and historical data analysis.
4.3. Automation minimizes downtime and automator-driven maintenance, reducing losses.
4.4. Automatedly enhances farm worker safety and animal welfare via proactive environmental controls.
4.5. Automating ensures scalable, reliable expansion as egg production increases.
4.6. Automated notification and escalation supports fast response to environmental issues.