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Futr

Real-Time Updates and Coordination from Field to Office

The integration of FutrOS with its mobile application ensures that the on-ground maintenance teams are in sync with decision-makers. This seamless connection allows for real-time updates, efficient task execution, and instant insights, enabling swift decision-making at every level.

Feature Preview

Unified Maintenance Management

Bridging the Gap by Seamless Maintenance from Top to Bottom

Real-Time Sync

Immediate updates from the field to the dashboard, keeping everyone informed.

Automated Task Allocation

Assignments are automatically dispatched to the right technicians, ensuring timely action.

Comprehensive Reporting

Detailed analytics flow from the ground to decision-makers, empowering data-driven strategies.

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Features

Futr

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Digital Twin Mapping

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Digital twin mapping with serial no. of each equipment (including module)

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Digital (RTK) navigation of anomoilies till module level

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Asset Level Analytics

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Performance Ratio

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Temp. corrected PR

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Observed vs budgeted PR

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Inverter Efficiency

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Inverter PR

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Grid Availability

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Recovering missing data of inverter

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AC Power vs Irradiance

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CUF

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Prevented CO2

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Spare Inventory tracking

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Inventory Demand Forecasting

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Warranty/Insurance Claim

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Mail tracking between O&M & developer

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Claims status dashboard

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Tracking History of each asset

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Actionable insight to optimize operations

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Optimization of cleaning schedule

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Platforms for Cleaning Frequency Forecasting and Generation Improvement

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Smart Alerts

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Major Highlights

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Portfolio level analysis

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Document management

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Tickets & work orders

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Automatic Alerts

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Executive Dashboard

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Maintenance Automation

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Drone Thermography Inspection

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IV Testing

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EL Testing

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Transmission Line Inspection

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Energy generation forecast

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Recovering missing data

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Integrate with popular dataloggers, SCADA

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Proprietary Logger – FutrLogger

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Top Features

Key distinctions setting FutrOS Advertising

Stay on top of sensitive data with Playbooks and customizable controls.

MPPT Performance Insights

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Energy Generation Forecasting

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Data Recovery Efficiency

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