Data logging for equipment performance

Purpose

1.1. Enable continuous and accurate recording of aquaculture equipment performance metrics (e.g., aerators, pumps, feeders, water quality sensors) to maximize yield, reduce manual errors, optimize maintenance cycles, and ensure regulatory compliance.
1.2. Support real-time monitoring and historical analysis, enabling timely detection of anomalies and process enhancements in fish farming operations.

Trigger Conditions

2.1. Detection of new device telemetry data or logs from IoT sensors.
2.2. Scheduled intervals (e.g., every 5 minutes, hourly) for regular data polling.
2.3. Manual input of performance data via mobile or web forms.
2.4. Equipment status events such as on/off cycles, alarms, or thresholds exceeded.
2.5. Receipt of data files via FTP, email, or device APIs.

Platform Variants

3.1. Microsoft Power Automate
- Function: “When a sensor event is logged” trigger. Configure to listen to device telemetry via Azure IoT Hub connector.
3.2. Zapier
- Feature: “Webhooks by Zapier” trigger for incoming IoT equipment HTTP payloads. Set URL endpoint integration.
3.3. Google Cloud Functions
- Feature: Trigger on Pub/Sub events from sensor devices. Use Node.js handler to parse and store data in BigQuery.
3.4. AWS Lambda
- Function: On S3 object creation (data log upload), parse and insert into DynamoDB.
3.5. Integromat (Make)
- Module: HTTP module trigger for IoT data push; flow writes parsed logs into Google Sheets.
3.6. Node-RED
- Node: MQTT-in node subscribes to equipment metrics topics and stores payloads in local or cloud DB.
3.7. IFTTT
- Applet: “If Webhook receives data, then add row to Google Sheets.” Configure webhook and sheet IDs.
3.8. Google Apps Script
- Function: Time-driven trigger to poll API devices and append results to Sheets.
3.9. Airtable Automations
- Trigger: “Webhook received.” Action: “Create record.” Set up webhook listener and base schema.
3.10. Salesforce Flow
- Element: “Platform Event Triggered Flow” using IoT device platform event as the entry event.
3.11. Smartsheet Automation
- Rule: “Web form submission” or “API integration” adds row with new telemetry.
3.12. IBM App Connect
- Event: “IoT Device Connected.” Flow parses metrics and posts to Watson IoT Platform or Cloudant.
3.13. Pipedream
- Trigger: HTTP request intake; Node.js steps fetch, parse, and forward to chosen data service.
3.14. n8n
- Node: “HTTP Webhook” starts flow; subsequent “Spreadsheet File” node logs performance metrics.
3.15. Tray.io
- Trigger: Receive event from IoT REST endpoint; Map to database input.
3.16. Oracle Integration Cloud
- Event: “REST Adapter Trigger” for device integration, with logic for transforming log format.
3.17. Azure Logic Apps
- Trigger: IoT Hub event. Output: Insert to SQL Database with defined schema.
3.18. Notion API
- Endpoint: “Create database entry” with payload mapping for each equipment log parameter.
3.19. ServiceNow Flow Designer
- Trigger: “Inbound REST API call” for equipment logs. Action: Log incident or update custom data table.
3.20. Quickbase Pipelines
- Trigger: “Webhook from device.” Action: “Add record” to Quickbase table with equipment fields.

Benefits

4.1. Eliminates manual data entry, ensuring accuracy and reducing human error.
4.2. Enables rapid response to equipment faults or performance degradation.
4.3. Ensures complete historical records for compliance and trend analysis.
4.4. Scales to support hundreds or thousands of devices without human intervention.
4.5. Facilitates integration with downstream analytics, alerting, and reporting systems.