Temperature Monitoring System for RotorWind GmbH

Real-time temperature monitoring system for wind turbine rotor manufacturing machines, sending data directly to Splunk via HTTP Event Collector (HEC).

Prerequisites

• Python 3.8+
• Splunk Enterprise/Cloud instance
• Splunk HTTP Event Collector (HEC) token

Splunk HEC Token Setup

1. Log in to your Splunk instance as an admin
2. Navigate to Settings > Data Inputs > HTTP Event Collector
3. Click "New Token"
4. Configure the token:
   • Name: temperature_monitor
   • Source type: _json
   • App Context: Search & Reporting
   • Default Index: main
5. Click "Review" then "Submit"
6. Save the generated token value for use in .env
7. Enable HEC:
   • Go to Global Settings
   • Set "All Tokens" to Enabled
   • Set HTTP Port Number to 8088
   • Click "Save"

Setup

1. Clone the repository:

git clone https://github.com/FlorianBoehler/dlbingdabd01.git
cd dlbingdabd01

2. Create and activate virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Create .env file with your Splunk token:

SPLUNK_TOKEN=your_hec_token_here

Configuration

Edit the following parameters in temperature_logger.py:

• splunk_host: Splunk instance hostname/IP
• splunk_port: HEC port (default: 8088)
• num_machines: Number of machines to monitor
• locations: List of facility locations
• min_temperature: Define the minimal temperature (Default:60)
• max_temperatur: Define the maximum temperature (Default:80)
• Temperature thresholds and ranges

Usage

Start the real-time data generator:

python src/temperature_logger.py

Monitor the console for event transmission status. Use Ctrl+C to stop.

Data Format

Real-time events include:

{
  "timestamp": "2024-03-15T14:30:45.123",
  "machine": "ROTOR_M01",
  "temperature": 72.45,
  "status": "NORMAL",
  "location": "Hall_A",
  "batch_id": "BATCH_1000"
}

Status Thresholds

• NORMAL: ≤75°C
• WARNING: 75-85°C
• CRITICAL: >85°C

Splunk Dashboard

The project includes a pre-configured dashboard (src/dashboard/temperature_dashboard.json) with:

Visualizations

• Real-time temperature display for each measurement point (ROTOR_M01 to ROTOR_M05)
• Temperature trend line chart for all machines
• Warning table for temperatures above 75°C

Color Coding

• Green: Temperature ≤ 75°C
• Yellow: Temperature 75-85°C
• Red: Temperature > 85°C

Key Metrics

# All measurement points
sourcetype=_json 
| timechart span=1min avg(temperature) by machine

# Critical values
sourcetype=_json 
| where temperature > 75
| bin _time span=30s
| table _time, machine, temperature

Dashboard Installation

1. Navigate to Splunk > Dashboards
2. Click "Create New Dashboard"
3. Select "Source Editor"
4. Copy and paste the contents of temperature_dashboard.json
5. Save and view your dashboard

Troubleshooting

If events aren't appearing in Splunk:

1. Verify HEC is enabled in Global Settings
2. Check the token is correctly copied to .env
3. Ensure port 8088 is accessible
4. Look for error messages in Splunk's internal logs