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moneo Industrial AI Assistant - joint solution with ifm

AI based monitoring and optimization of production processes

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Product

moneo Industrial AI Assistant - joint solution with ifm

AI based monitoring and optimization of production processes

Description

By using Artificial Intelligence (AI) in industrial applications, relevant information can be extracted from data and processed so that automated decisions and predictions can be made. Optimizing processes also means reducing costs and increasing efficiency through reliable forecasts. The Industrial AI Assistant (formerly known as moneo Data Science Toolbox) makes it easy for everyone to apply data science. This AI assistant offers various tools that you can use to optimise and monitor manufacturing processes – all without the need for expert knowledge of data science and programming. The Industrial AI Assistant currently includes the software solutions moneo SmartLimitWatcher and moneo PatternMonitor which serve to detect anomalies.

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Keywords:

Artificial Intelligence, optimizing, monitoring, industrial process, Industrial AI Assistant, moneo, anomaly detection


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Use cases for moneo Industrial AI Assistant - joint solution with ifm

moneo Industrial AI Assistant - joint solution with ifm can be used in various applications. Get a quick insight.

UseCase: Intelligent pump monitoring using artificial intelligence

Use Case

Intelligent pump monitoring using artificial intelligence

automotive supplier, paper, aerospace, food, beverage

The supply pump is one of the central components of many plants. It ensures fluid circulation through the entire system. Damage to this pump will result in the failure of the entire plant – this must be avoided at all costs. In this specific case, the pump is operated at various speeds, which makes static monitoring more difficult. Artificial intelligence can be used in a targeted manner here: AI simplifies pump monitoring while increasing the efficiency of the entire process. Process deviations (anomalies) are detected early and downtime is minimised.

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Marius Löcker

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