Automated IoT Sensor Fault Detection with Webhook and Langchain
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This workflow automatically detects faults in IoT sensor data. It leverages a Webhook to receive sensor readings, processes them through Langchain nodes for analysis, and logs any identified issues to a Google Sheet.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of detecting faults or anomalies in data streaming from IoT sensors. It starts by listening for incoming sensor data via a Webhook node. The received data is then processed using Langchain nodes, specifically Splitter, Embeddings, and VectorStoreSupabase, to analyze the sensor readings against a knowledge base or historical patterns. The Agent and Tool nodes orchestrate the analysis, potentially querying a VectorStore for relevant information or contextualize the incoming data. Finally, any detected faults or critical events are logged to a Google Sheet using the Sheet node for monitoring and record-keeping. This workflow is ideal for real-time monitoring of IoT devices where timely fault detection is crucial for preventing downtime or critical failures.
Key Features
- Real-time data ingestion via Webhook.
- Advanced data processing and analysis using Langchain.
- Fault detection and anomaly identification capabilities.
- Integration with Supabase Vector Store for intelligent querying.
- Automated logging of detected faults to Google Sheets.
- Customizable agent and memory for sophisticated decision-making.
How To Use
- Set up a
Webhooknode to receive incoming sensor data. - Configure the
Splitter,Embeddings, andVectorStoreSupabase(Insert and Query) nodes to process and store sensor data embeddings. - Define your
AgentandToolconfiguration to establish the fault detection logic. - Set up the
ChatandMemorynodes for conversational AI capabilities if needed. - Configure the
Sheetnode to log detected faults to a specific Google Sheet. - Connect the
Webhookto the data processing nodes and theAgentto the logging node.
Apps Used
Workflow JSON
{
"id": "5df5dcd1-f28f-497a-b608-1e4228831869",
"name": "Automated IoT Sensor Fault Detection with Webhook and Langchain",
"nodes": 0,
"category": "IoT Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 5df5dcd1-f28f...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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