{"id":11409,"date":"2025-07-21T15:45:20","date_gmt":"2025-07-21T15:45:20","guid":{"rendered":"https:\/\/wrs-energie.de\/druckluftsensoren-auswerten-en\/"},"modified":"2025-07-23T07:03:25","modified_gmt":"2025-07-23T07:03:25","slug":"druckluftsensoren-auswerten-en","status":"publish","type":"page","link":"https:\/\/wrs-energie.de\/en\/druckluftsensoren-auswerten-en\/","title":{"rendered":"Druckluftsensoren auswerten EN"},"content":{"rendered":"

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DATA ANALYSIS<\/p>\n<\/div>

Evaluate compressed air sensors<\/h1><\/div>

Automated evaluation of compressed air sensors replaces manual Excel analysis. Acute leaks are detected at an early stage.<\/p>\n<\/div>

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Less Excel, more automation<\/h2><\/div>

The AI algorithms automatically recognize patterns from the data that indicate leaks or imminent production downtimes. Detected leakage losses are displayed in the form of a key figure.<\/p>\n<\/div><\/div><\/div>

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Intelligent leakage detection<\/h5><\/div>

The AI algorithms automatically recognize from the data whether it is production or leakage. The detected leakage clusters are colored and a key figure is calculated.<\/p>\n<\/div>

Clear accountability<\/h5><\/div>

All subsections or machines equipped with sensors allow leakage monitoring. This results in specific responsibilities for optimization.<\/p>\n<\/div>

Integration in inventory software<\/h5><\/div>

All AI algorithms can be combined with existing energy management systems. There is the option of a cloud and on-premise variant.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

Request your whitepaper<\/h2><\/div>

Simply enter your e-mail address and you will immediately receive the white paper for download.<\/p>\n<\/div>

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