Unexpected Equipment Failure
Machines fail without warning, disrupting operations and schedules.
CONNECTED MAINTENANCE INTELLIGENCE
Predictive Maintenance for Connected Equipment
Monitor equipment condition, identify abnormal trends and support maintenance teams with connected sensors, telematics data, alerts and analytics.
EarlyWarning
ConditionMonitoring
AnomalyDetection
MaintenanceInsights
Solution Overview
From Equipment Data to Maintenance Action
PolarGrid Predictive Maintenance connects sensors and equipment data, an IoT gateway or telematics device, a cloud platform, rules and analytics, and alerts and dashboards into one continuous flow that keeps maintenance teams informed.
The solution supports condition-based maintenance for every connected asset, with predictive insights available where sufficient data quality and historical patterns exist. Not every fault can be predicted, and results depend on the equipment, sensors and data available.
SensorsEquipment-Level Data
GatewayTelematics Transmission
CloudRules & Analytics
AlertsMaintenance Action
Business Challenges We Solve
Maintenance Risks PolarGrid Helps You Manage
Common operational gaps that raise cost, increase risk and slow down maintenance decisions.
High Maintenance Cost
Reactive repairs and emergency callouts drive up service costs.
Reactive Service Processes
Maintenance happens only after a problem has already occurred.
Limited Condition Visibility
Teams cannot see how equipment is actually performing in the field.
Poor Spare-Parts Planning
Without early warning, spare parts are often ordered too late.
Excessive Downtime
Unplanned stoppages reduce output and delay committed work.
Key Capabilities
Everything Needed to Monitor Connected Equipment
Core capabilities built into the PolarGrid predictive maintenance platform.
Equipment Health Monitoring
Track overall equipment condition from connected sensors and data.
Threshold Alerts
Get notified when readings move outside configured safe ranges.
Trend Analysis
Review how key parameters change over time to spot developing issues.
Anomaly Detection
Identify unusual patterns that may indicate an emerging problem.
Runtime Monitoring
Track operating hours and usage across every connected machine.
Service Scheduling
Plan maintenance based on usage, condition or fixed intervals.
Fault-Code Monitoring
View fault and diagnostic codes reported by the equipment.
Cloud Dashboard
Manage every asset and site from one connected dashboard.
System Architecture
How Equipment Data Flows to Your Team
A simple, connected flow from the machine to operational action.
Equipment
The machine or asset is the source of operating and condition data.
Sensors / CAN / PLC Data
Sensors, CAN interfaces or PLC data capture live operating parameters.
IoT Gateway
A gateway collects and transmits data securely to the cloud.
Cloud Platform
Equipment data is processed, stored and structured centrally.
Rules & Analytics
The platform applies thresholds, trends and anomaly detection to the data.
Dashboard
Equipment status and history are visualized in a connected dashboard.
Alerts
Notifications are triggered when conditions require attention.
Maintenance Team
Teams act on alerts and insights to service equipment proactively.
Monitoring Parameters
Data Points Tracked Across Every Machine
Parameter availability depends on the equipment, sensors and controller interfaces configured for your deployment.
Hardware & Sensor Compatibility
Built Around Devices You Can Deploy
Final compatibility depends on the machine interface, sensor availability, controller access, data quality and project requirements.
Vibration Sensors
Detect abnormal vibration patterns that may indicate mechanical wear.
Temperature Sensors
Monitor operating or ambient temperature for critical components.
Pressure Sensors
Track hydraulic, pneumatic or process pressure levels.
Current Sensors
Monitor motor or circuit current draw for electrical assets.
Voltage Sensors
Track voltage levels across electrical and battery-powered systems.
CAN Devices
Devices that read live operating data from the CAN bus.
PLC Interfaces
Connect to programmable logic controllers on industrial equipment.
RS232
Wired interface support for compatible legacy and industrial devices.
RS485
Wired interface support for multi-device industrial installations.
Modbus Gateways
Gateways that read Modbus data from connected equipment.
BLE Sensors
Wireless sensors for temperature, vibration and other parameters.
GPS Telematics Devices
Combine equipment condition data with location and movement.
Industrial IoT Gateways
Gateways for stationary machinery and process equipment.
Machine Controllers
Direct integration with supported machine control systems.
Connectivity & Integration
Connected From the Machine to Your Systems
Core connectivity and integration capability behind the platform.
Industries & Applications
Built for Every Kind of Connected Equipment
Deployed wherever machine condition and uptime matter most.
Manufacturing
Monitor production machinery and reduce unplanned line stoppages.
Construction Equipment
Track machine condition across active and multi-site projects.
Agriculture Equipment
Monitor tractors, implements and field machinery condition.
Electric Vehicles
Monitor EV systems alongside battery and drivetrain health.
Cold Chain Equipment
Monitor refrigeration units and cold-storage equipment condition.
Chemical Processing
Track condition of reactors, vessels and process equipment.
Food Processing
Monitor processing equipment to maintain uptime and quality.
Mining
Track heavy equipment condition in demanding operating environments.
Material Handling
Monitor forklifts, conveyors and handling equipment condition.
Energy & Utilities
Monitor generators, DG sets and critical power equipment.
Rental Equipment
Give rental businesses visibility into equipment condition and usage.
Logistics Fleets
Combine vehicle condition data with fleet operations visibility.
Business Benefits
Why Enterprises Choose PolarGrid Predictive Maintenance
Reduced Downtime
Catch developing issues before they cause unplanned stoppages.
Earlier Fault Detection
Identify abnormal conditions sooner, when data quality supports it.
Better Maintenance Planning
Move from fixed schedules to condition-based service planning.
Longer Equipment Life
Reduce wear and extend usable life through earlier intervention.
Lower Service Cost
Reduce emergency repairs and unplanned service call-outs.
Improved Spare-Parts Planning
Order parts ahead of need based on condition trends.
Better Asset Utilization
Understand how equipment is actually used across sites.
Data-Driven Decisions
Base maintenance and investment decisions on real operating data.
Technical Capabilities
Capability Summary
| Capability | Description | Business Value |
|---|---|---|
| Runtime Monitoring | Operating hours and usage tracking per asset | Supports utilization and service planning |
| Threshold Alerts | Notifications when readings cross configured limits | Faster response to abnormal conditions |
| Trend Analysis | Historical parameter trends over time | Reveals gradually developing issues |
| Anomaly Detection | Identification of unusual operating patterns | Earlier warning where sufficient data is available |
| Fault Codes | Equipment and controller fault code visibility | Speeds up root-cause troubleshooting |
| Service Scheduling | Maintenance planning based on usage or condition | Reduces missed or late service intervals |
| Utilization Monitoring | Usage and activity history per asset | Supports better fleet and asset decisions |
| Historical Reports | Stored condition, alert and usage data | Supports audits, planning and analysis |
| Dashboard Access | Centralized view across all connected equipment | Single source of truth for equipment health |
| API Integration | REST API and webhook connectivity | Connects equipment data to existing business systems |
| Multi-Asset Monitoring | Visibility across multiple machines, sites or fleets | Supports enterprise-scale operations |
| White-Label Deployment | Platform branding available for OEM and service partners | Supports partner and reseller business models |
FAQ
Predictive Maintenance Questions, Answered
Predictive maintenance uses connected sensor and equipment data to identify early warning signs of wear or abnormal behaviour, supporting condition-based maintenance rather than relying only on fixed schedules or reactive repairs.
PolarGrid can monitor industrial machinery, motors, pumps, compressors, construction and agricultural equipment, EV and battery systems, DG sets and other connected assets, depending on available interfaces and sensors.
In many cases, yes. Integration depends on the machine interface, controller access and data available from your existing equipment, and is confirmed as part of your deployment plan.
The platform supports vibration, temperature, pressure, current, voltage and other sensor types, along with CAN, PLC and Modbus data sources, based on your equipment and project requirements.
Yes, where sufficient data quality and historical patterns are available. Anomaly detection provides early warning and predictive insights rather than a guarantee that every fault will be predicted.
Alerts are generated from configurable thresholds, trend analysis and anomaly detection, so your team is notified when equipment behaviour moves outside expected ranges.
The platform is designed with REST API and webhook support, so equipment data can be integrated into an existing ERP, CMMS or asset-management system as part of a deployment plan.
Yes. The platform can be delivered under your own brand for OEM, rental or service-partner deployments.
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Learn More →Move from Reactive to Connected Maintenance
Talk to PolarGrid Technologies about a condition-monitoring and predictive-maintenance solution designed around your machines, sensors and operational requirements.
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