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Marathon suite for equipment and system operations 

Providing powerful insights to keep your assets running
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Improve uptime

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Increase
productivity

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Reduce costs

Managing complex systems

Operations managers and maintenance engineers face an overwhelming – and growing – volume of data from field SCADA and equipment sensors.

Integrating data-driven analytics with existing control systems and engineering models can provide the complementary tools to help improve critical equipment uptime.

Managing remote sites

Remote operations, such as pipelines or pump stations, face increasing complexity from fluctuating operating demand, manual monitoring, and aging assets.

A technology-based approach represents an opportunity to guarantee the readiness of aging assets, maximize utilization and ensure the safety of resources. Arundo Marathon provides operators and engineers with:

  • Secure and reliable streaming of sensor data
  • Ability to run advanced analytics on the edge (where the critical equipment is located) irrespective of connectivity
  • Machine learning models that improve critical equipment uptime

Don't let equipment interrupt production

Integration with other systems

Marathon is system-agnostic, and can connect to critical components across production processes, regardless of equipment or control system vendor. Marathon provides connectivity with an open API. This enhances the software's functionality and supports integration with other systems.

Equipment specific machine learning models

By combining state-of-the-art machine learning techniques with deep equipment knowledge, Marathon provides comprehensive monitoring coverage while limiting false alarms. Get started immediately through “starter kits" with streaming KPIs and efficiency metrics for many common equipment categories, such as pumps, compressors, or turbines. 

Prioritized Alerts

Alerts are captured and prioritized, so that engineers can schedule maintenance in a timely way. Findings are shared across operations teams to enable effective collaboration. Smart algorithms reduce the number of alarms. This in turn avoids alarm fatigue while identifying real problems.

 
Uptime Dashboard

A simple and intuitive dashboard allows users to view the alerts, drill down into sensor data and diagnose faults.

 
Advanced, and Improving, Analytics

Marathon deploys performant analytics and machine learning models tailored to available historical data – ranging from anomaly detection to rare event prediction. Results are tracked and used to regularly improve the models and maintenance process. As the team and models learn, the time to detect, diagnose and resolve faults drops. Through continuous evolution, the system stays relevant even as the underlying equipment and production processes change.

 
Virtual sensors

By combining engineering rules to analytics, Arundo Marathon provides complementary sensors on critical equipment which can help availability and reliability by providing real-time critical information.

Arundo Edge Agent

Edge Agent enables connectivity and analytics in remote or disconnected environments, streamlining integration of far-flung operations and saving costs by reducing labor-intensive tasks of collecting and analyzing business-critical data.

Equipment specific machine learning models

By combining state-of-the-art machine learning techniques with deep equipment knowledge, Marathon provides comprehensive monitoring coverage while limiting false alarms. Get started immediately through “starter kits" with streaming KPIs and efficiency metrics for many common equipment categories, such as pumps, compressors, or turbines. 

Prioritized Alerts

Alerts are captured and prioritized, so that the engineers can schedule maintenance in a timely way. Findings are shared across the operations team to enable effective collaboration. Smart algorithms reduce the number of alarms. This in turn avoids alarm fatigue whilst still having the required accuracy for real problems.

 
Uptime Dashboard

A simple and intuitive dashboard allows the reliability engineers to view the alerts, drill down into sensor data and diagnose faults.

 
ADVANCED, AND IMPROVING, ANALYTICS

Marathon deploys performant analytics and machine learning models tailored to available historical data – ranging from anomaly detection to rare event prediction. Results are tracked and used to regularly improve the models and maintenance process. As the team and models learn, the time to detect, diagnose and resolve faults drops. Through continuous evolution, the system stays relevant even as the underlying equipment and production processes change.

 
Virtual sensors

By combining engineering rules to analytics, Arundo Marathon provides complementary sensors on critical equipment which can help availability and reliability by providing real-time critical information.

 

take the next step

Whether there is historical data or no data at all, Arundo Marathon can provide value within a short period of time.


Connect to the data: Marathon will connect to your data store or equipment, and make the data available to Arundo’s models and application. The data streams live on a continuous basis as a cloud service.


Configure models: Marathon tailors the models to your equipment, and uses historical data to tune algorithms and alert thresholds.


Train users: Arundo will train users to act as champions for the tool, drive adoption, and ensure the solution delivers value from day 1.


Improve over time: Arundo will regularly check back on the monitoring results and help improve the models based on feedback from your operators.