# Analyse a plant's operating log | IT-INTERDEV

> The AI looks for faults and patterns in your notes. This example is made up.

Language: en · Source: https://it-interdev.de/en/use-cases/analyze-an-operating-log.html · Alternate (de): https://it-interdev.de/anwendungen/betriebstagebuch-auswerten.html · Updated: 2026-10-05

**Zone**: Yellow · **Energy and farming**

## The situation

You keep a log for a CHP unit or a biogas plant. After months it fills many pages. When did it stop? Why?

## How it works

1. You paste the entries.
2. **The Schleuse replaces secrets.** Names, addresses, identifiers and credentials are replaced with stand-in words. This happens on your side, not in the cloud. Amounts and dates stay as they are.
3. **The AI answers, the Schleuse translates back.** The answer contains the stand-in words. On your side they turn back into the real names.

## Example

**Your question to the AI:** Summarise the faults of the last months. Are there patterns?

**What is in your text:**

> CHP unit 2 of **Biogas Lindenberg GmbH** stood still on 3 August from 02:10 to 05:40.
> Error code 4711. The technician was **Mr Kai Brandt**.

**What the cloud AI sees:**

> CHP unit 2 of **Operator Alpha** stood still on 3 August from 02:10 to 05:40.
> Error code 4711. The technician was **Technician Alpha**.

*This example is made up.*

## What you get

You get an overview: when, how long, which faults.

## Good to know

Technical terms such as CHP stay as they are. Clarify the causes with your service partner.

## Zone of this use case: Yellow

Only through the Schleuse. And only to targets you have approved.

## Status of the Schleuse

Version 0.1 Alpha. So far tested only with made-up examples. Not reviewed by third parties. No legal advice.