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Automated storage condition monitoring (temperature, pressure, etc.)

Purpose

1.1. Ensure constant monitoring and automatic logging of critical storage conditions (temperature, pressure, humidity) for alternative fuel assets and supplies.
1.2. Automate alerts, compliance reporting, live dashboards, and intervention actions to maintain safety, quality, and reduce loss or downtime.
1.3. Provide instant escalation for abnormal readings to designated staff, and maintain audit trails for industry and environmental compliance.

Trigger Conditions

2.1. Sensor thresholds exceeded for temperature, pressure, or humidity.
2.2. Scheduled sensor check-ins (e.g., every 5 mins/when threshold approached).
2.3. Reception of device error signal or disconnect event.

Platform Variants


3.1. AWS IoT Core
• Feature/Setting: Rule Engine – Subscribe device shadow updates; invoke Lambda upon threshold breach.
3.2. Microsoft Azure IoT Hub
• Feature/Setting: Device Twin & Streaming analytics job – Forward abnormal telemetry to Logic App.
3.3. Google Cloud IoT Core
• Feature/Setting: Pub/Sub topic subscription – Push alerts to Cloud Functions for workflow.
3.4. Siemens MindSphere
• Feature/Setting: MindConnect integration – Set up rule-based notifications for sensor apps.
3.5. Honeywell Forge
• Feature/Setting: Monitoring Service – Configure asset condition triggers and alarm workflows.
3.6. Schneider EcoStruxure
• Feature/Setting: Asset Advisor alerts – Enable automated SMS/email dispatch and SCADA integration.
3.7. IBM Maximo
• Feature/Setting: Automation scripts – Monitor asset conditions and fire service requests upon incidents.
3.8. PTC ThingWorx
• Feature/Setting: Data Change Events – Launch workflows upon value deviations.
3.9. Splunk Industrial Asset Intelligence
• Feature/Setting: Real-time rule alerting – Set up action to notify and ticket abnormalities.
3.10. OSIsoft PI System
• Feature/Setting: PI Event Frames – Send data to notification endpoints when conditions met.
3.11. GE Digital Predix
• Feature/Setting: Asset Condition Monitoring – Set triggers and integrate with ticketing.
3.12. Ignition by Inductive Automation
• Feature/Setting: Tag Change Scripts – Forward events to REST endpoint/webhook.
3.13. TeamViewer IoT
• Feature/Setting: Alert Rules – Configure condition-based notifications to user groups.
3.14. Particle IoT
• Feature/Setting: Webhooks – Send sensor data to cloud APIs for further analysis.
3.15. UptimeRobot
• Feature/Setting: HTTP(s) monitoring – Poll custom sensor endpoints and alert via integrations.
3.16. InfluxDB + Telegraf
• Feature/Setting: Alerting rule – Use Threshold/Deadman checks and trigger HTTP notifications.
3.17. Microsoft Power Automate
• Feature/Setting: Schedule/Instant Flows – Connect to IoT hub/data API to route alerts and logs.
3.18. Zapier
• Feature/Setting: Webhook or Email Parser – Handle sensor webhook/input and push to notification chains.
3.19. Datadog
• Feature/Setting: Monitors API – Create metric alert monitors for specific tags and values.
3.20. Grafana
• Feature/Setting: Alerting – Use Grafana Alertmanager against condition metrics for multi-channel notification.

Benefits

4.1. Real-time risk mitigation for fuel storage safety and compliance.
4.2. Reduces manual labor in monitoring, allowing immediate corrective action for abnormal storage conditions.
4.3. Ensures regulatory and quality assurance standards are auditable and continuously maintained.
4.4. Provides rapid escalation pathways minimizing potential financial and safety losses.
4.5. Increases reliability and transparency in supply chain operations, supporting informed business decisions.

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