Overview condition monitoring
Unexpected machine failures require fast and expensive maintenance. Process down time is expensive. Manual condition monitoring is expensive, occasional or neglected.
Real-time monitoring: The ability to monitor equipment health and performance in real-time.
Automated data collection: The ability to automatically collect data from multiple sensors and equipment and ensures that data is accurate and consistent.
Automated fault detection: A motor vibration analytics platform can use machine learning algorithms and rule-based systems to automatically detect faults and anomalies in equipment vibration signals, reducing the need for manual intervention.
Dashboards: dashboards and reports that provide real-time insights into equipment health and performance. Cloud-based architecture - A cloud-based architecture provides the flexibility to scale up or down as required.
Remote monitoring: The ability to remotely monitor equipment health and performance. This can reduce the need for on-site maintenance personnel and improve the efficiency of maintenance operations.
Advanced analytics: The ability to apply advanced analytics techniques, such as machine learning, to the vibration data can provide deeper insights into equipment performance and health.
Results of condition monitoring platform
The IIoT platform allows connect Enterprise Gateways to the Cloud, each Gateway can handle up to 1000 end-sensors. The platform operates with data collection frequency of 10sec to an hour, and supports a robust data management system, enabling real-time visibility of measurement & control data.
Build connected applications for your business
Strategy roadmap and consulting for transforming business models, solution architectures (micro-services based) for device management and operations.
Analytics & Insights
We develop analytics for our offered solutions, and generate actionable insights to optimize productivity. .
IoT Application Development
We provide end-to-end solutions by leveraging partner products/platforms and utilizing our domain expertise.
Edge to Cloud Engineering
Sensors, connectivity, connectivity protocols, edge analytics, interoperability. Communication protocols, message brokers, IoT security.
Enable digital twin capabilities
that allow to experiment with different process configurations & scenarios, using assets data simulated in a virtual environment.
IoT Integration & Implementation
We support you with IoT solution implementation to design solution architecture and model data processing environment for IoT data.