Go4Green

Go4Green, part of Idex, is the Belgian leader in the installation of cogeneration units in boiler rooms and monitoring of their data. The company needed to optimize its meter readings in boiler rooms as well as the generation of maintenance reports for its facilities. To do this, BRAFT developed an Android and IOS mobile application for them, allowing the centralization of data for employees and the facilitation of encoding. In addition, BRAFT developed character detection software (OCR) to automatically extract the index values from the photos. Furthermore, all maintenance reports are now generated automatically and in a standardized manner.

BRAFT app for go4green

Overview of the android and ios mobile application developed for go4green allowing the centralization of data for those responsible for meter readings. The meters are identified using a unique qr code. Then, they are photographed and the photos (necessary as evidence) are uploaded to the company's database.

BRAFT OCR for go4green

The OCR developed for go4green allows the automatic detection of index values from photos. Then, these values are sorted and automatically entered in the right places in the company's database, saving valuable time.

BRAFT OCR allows detection of values even in poor quality images.

BRAFT OCR also allows the detection of specific objects within the boiler room.

Predictive maintenance

Defects in the equipment are automatically identified using mathematical models that predict plausible values and compare them with the actual measured data from the boiler meters.

Standardized and self-generated maintenance reports

Based on checklists provided in the mobile app to maintenance inspectors, reports are generated automatically in a standardized format. Decision trees are then used to identify defects and produce predefined comments. Defect reports are stored in a database and shared with the responsible staff, preventing information loss and enabling faster, more efficient maintenance.

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