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Predictive maintenance solutions for technical diagnostics and forecasting of machine and device failures

Technical solution:


MOLOS.HUB IoT device along with the intelligent and non-invasive measurement sensors or existing SCADA system as a data source


MOLOS.Analytics algorithms for data analysis and forecasting of failures and anomalies


Possibility of integration with the Power BI tools in order to create advanced reports and analysis


MOLOS.IoT and MOLOS.SCADA software for data acquisition, processing and live monitoring with push notifications


Providing reliability and scalability with Microsoft Azure cloud platform

Main benefits:


Reduction of the service team reaction time due to failures forecasting and event alarming


Adjusting schedules of machine reviews based on real technical condition


Reduction of the overall costs of machine and device operation


Reduction of the cost due to unscheduled stops and failures of the plant infrastructure


Energy efficiency increase and optimization by keeping machines and devices in optimal working conditions

Implementations:


Technical diagnostics, monitoring and failure detection in electrical engines used in variety of industrial processes such as belt conveyors, pump stations, HVAC


Deformation and displacement monitoring of the engineering and construction objects such as bridges, viaducts, buildings

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