AI Qwen-Vl-Plus powered car fleet maintenance alert system
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Maintenance Analyzer (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - Code
n8n-nodes-base.code - Slack
n8n-nodes-base.slack - Postgres
n8n-nodes-base.postgres - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Aggregate
n8n-nodes-base.aggregate - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter
What it does
How It Works Daily triggers automatically fetch fleet data and simulate key performance metrics for each vehicle. An AI agent analyzes maintenance requirements, detects potential issues, and routes alerts according to urgency levels. Fleet summaries are aggregated, logged into the database for historical tracking, and AI-enhanced insights are parsed to provide actionable information. Slack notifications are then sent to relevant teams, ensuring timely monitoring, informed decisions, and proactive fleet management. Setup Steps 1. Configure daily triggers to automatically fetch, process, and update fleet data. 2. Connect Slack, the database, and AI APIs to enable notifications and analytical processing. 3. Set AI parameters and provide API keys for accessing the models and ensuring proper scoring. 4. Configure PostgreSQL to log all fleet data, summaries, and alerts for historical tracking. 5. Define Slack channels to receive real-time alerts, summaries, and actionable insights for the team. Prerequisites Slack workspace, database access, AI account (OpenRouter or compatible), fleet data source, n8n instance Use Cases Fleet monitoring, predictive maintenance, multi-vehicle management, cost optimization, emergency alerts, compliance tracking Customization Adjust AI parameters, alert thresholds, Slack message formatting, integrate alternative data sources, add email notifications, expand logging Benefits Prevent breakdowns, reduce manual monitoring, enable data-driven decisions, centralize alerts, scale across vehicles, AI-powered insights