Automate Industrial IoT KPI Alerts with AI-Powered Email Notifications
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This n8n workflow automates the monitoring and alerting of Industrial IoT Key Performance Indicators (KPIs). It uses a Webhook to receive data, Langchain nodes to process and embed it into a Redis vector store, and an AI Agent to generate intelligent email alerts based on queried KPIs, finally logging them to a Google Sheet.
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About This Workflow
Overview
This workflow is designed to monitor and react to Key Performance Indicators (KPIs) from Industrial Internet of Things (IIoT) devices. It leverages n8n's powerful automation capabilities combined with Langchain and AI to create an intelligent alerting system. The system listens for incoming data via a Webhook, processes and stores this data in a searchable vector database (Redis), and then uses an AI Agent to generate contextualized alerts. These alerts can be crucial for proactive maintenance, operational efficiency, and rapid response to critical events in industrial environments.
Key Features
- Real-time Data Ingestion: Utilizes a Webhook to receive data from IIoT devices or other systems.
- Intelligent Data Processing: Employs Langchain's Text Splitter and Embeddings (Cohere) to prepare data for vector storage.
- Vector Database Integration: Stores and retrieves data efficiently using Redis as a vector store for semantic search.
- AI-Powered Alerting: An AI Agent, leveraging OpenAI, queries the vector store and generates dynamic, informative alert messages.
- Conversation Memory: Maintains context for the AI Agent using a Buffer Window Memory node.
- Automated Logging: Logs all AI-generated alerts to a Google Sheet for historical tracking and analysis.
How To Use
- Configure Webhook: Set up the
Webhooknode to receive incoming IIoT data. Define the HTTP method and path. - Set up Data Processing: Connect the
SplitterandEmbeddingsnodes to process incoming data. Ensure your Cohere API credentials are correctly configured. - Configure Redis Vector Store: Set up the
Insertnode to store embeddings in your Redis instance and theQuerynode to retrieve relevant information. Provide your Redis API credentials and specify the index name. - Integrate AI Agent: Connect the
Tool,Memory, andChatnodes to create an AI Agent. Configure your OpenAI API credentials and define the agent's behavior using theAgentnode. - Log Alerts: Connect the
Sheetnode to log the AI-generated alerts to a Google Sheet. Ensure your Google Sheets API credentials are set up and the correct Sheet ID and name are provided.
Apps Used
Workflow JSON
{
"id": "2e618608-6b5c-490d-9664-3e7a8b01226d",
"name": "Automate Industrial IoT KPI Alerts with AI-Powered Email Notifications",
"nodes": 0,
"category": "Industrial 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: 2e618608-6b5c...
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