Remote Diagnostic and Predictive Maintenance in Construction Machinery
On 16 February 2022, we were awarded a research project worth over €120,000 by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy. The Deputy Prime Minister of Bavaria and Bavarian Minister of Economic Affairs, Hubert Aiwanger, personally handed over the notification of funding to our Managing Director Johannes Stephan. For many years, we have been supporting companies in the digitalisation and networking of their machinery and vehicle fleets. Companies in the construction industry in particular benefit from retrofittable fleet systems that are installed in vehicles, machines and equipment. These manufacturer-independent systems network the fleet with our in-house tracking platform and thus form the "digital key" to the machines. digital key" to the machines. There, construction companies can access current position data and performance parameters such as operating hours, degree of utilisation, fuel consumption and upcoming maintenance dates. Thanks to the tracking and automatic alarm notification when a machine leaves a geozone (a specific geographical area selected by the customer - e.g. the area in which a construction site is located), one or two stolen vibratory plates have already been returned to the owner. An unsolved industry problem is currently still the manufacturer-independent remote diagnosis of mixed fleets. As a rule, the machinery fleets of construction companies are rather heterogeneous, i.e. there are different manufacturers and different models. The possibilities of carrying out a manufacturer-independent diagnosis remotely (remote diagnostics) and avoiding damage and failures directly in the future (predictive maintenance) are being intensively tested in the course of the research project. The first prototypes are to be tested in the field by the end of the year.
Image source: © StMWi/ E. Neureuther