# Industrial IoT Monitoring

> Use this tool when you need to monitor and optimize industrial manufacturing equipment in real-time, detecting anomalies and providing AI-powered explanations to resolve issues quickly. It solves problems related to equipment downtime, production efficiency, and quality control by integrating anomaly detection, automated setpoint tuning, and natural language explanations. It takes in production machine data and outputs anomaly scores, explanations, and optimized setpoints through a database-backed interface.

Canonical page: https://skillsregistry.net/skills/be-student-project-industrial-iot-monitoring  
JSON: https://api.skillsregistry.net/v1/skills/be-student-project-industrial-iot-monitoring

## Description

A complete industrial IoT stack that combines real-time anomaly detection with AI-powered explanations for manufacturing equipment monitoring. Integrates an OPC UA simulator generating realistic production machine data, an LSTM autoencoder for anomaly scoring, and a local LLM (llama.cpp) providing natural language explanations of detected issues through database-backed MCP tools. Includes Bayesian optimization for automated setpoint tuning, WebIQ HMI integration, and supports both CPU and GPU inference with automatic hardware detection.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/be-student-project-industrial-iot-monitoring)
- **Repository:** <https://github.com/be-student-project/be-student-project>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "be-student-project-industrial-iot-monitoring"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/be-student-project-industrial-iot-monitoring` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/be-student-project-industrial-iot-monitoring/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt