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Heavy Equipment Management
Telemetry, compliance, and predictive analytics for heavy-duty fleets
AutoPi connects to machinery using SAE J1939, CAN, and CAN-FD interfaces to collect powertrain, hydraulic, and environmental sensor data in real time. Devices log locally when offline and synchronize securely to the cloud over signed, compressed channels. Every machine becomes a traceable data node, capable of streaming performance, faults, and location with full version control.
Typical setup includes PID sampling every 1–10 seconds, burst capture on threshold breach, geofence triggers for job sites, and integration with REST or MQTT APIs for external systems. Device templates are applied per OEM, engine type, or model year, ensuring consistent parameter decoding and reliable multi-vendor compatibility.
All telemetry data, including GPS, IMU, and CAN/J1939, is timestamped for sub-second correlation between machine behavior and site conditions. Operators can analyze fuel usage, duty cycles, or load balance across excavators, tractors, or cranes with audit-backed configuration control and OTA firmware updates.
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Equipment Performance Monitoring
Capture live telemetry from engines, hydraulics, and actuators using CAN and SAE J1939 signals. Monitor RPM, load pressure, fuel rate, and oil temperature in real time from excavators, tractors, or cranes. Logged data enables predictive maintenance, identifies wear trends, and extends machine lifespan by scheduling service before faults occur. All readings are timestamped and traceable through the AutoPi Cloud for audit and reporting.
Operational Efficiency
Use real-time analytics to detect idle time, fuel inefficiency, or unbalanced duty cycles across the fleet. Combine GPS and CAN data to map activity zones, optimize job site routes, and minimize off-load movement. Insights from machine utilization reports highlight underperforming assets, reducing downtime and fuel waste. Integrate results with REST or MQTT APIs for use in ERP or maintenance planning systems.
Safety and Compliance
Validate operator behavior, engine runtime, and fault logs to ensure compliance with on-site safety regulations. Automatically trigger alerts on DTC events, overheating, or hydraulic anomalies. Each alert is enriched with timestamp, GPS position, and sensor trace for traceability. Documentation and compliance reports can be exported as PDF or CSV to simplify inspections and audits.
J1939 Standard Compliance
Built around full SAE J1939 support for diagnostics, fault detection, and multi-vendor interoperability. All ECUs communicate through standardized PGNs and SPNs, ensuring compatibility across engines, transmissions, and auxiliary systems. The platform decodes, validates, and logs each frame for cross-OEM analysis and long-term machine performance benchmarking. AutoPi ensures compliance with evolving J1939 extensions while maintaining secure, versioned configurations across devices.
Real-time Monitoring
Achieve superior performance with data-driven, real-time monitoring
Real-time visibility across excavators, tractors, harvesters, and cranes gives operators full control of equipment health and utilization. The AutoPi platform collects data from CAN and J1939 networks, GPS, and environmental sensors to track load, idle time, and fuel rate with sub-second accuracy. Each signal is logged with precise timestamps, allowing correlation between engine load, operator behavior, and site conditions.
Equipment can operate in fully connected or remote conditions. Devices buffer offline and automatically synchronize to the cloud when coverage is restored, ensuring no data loss from operations in mines, farms, or construction zones. Collected data can be visualized in dashboards, exported to CSV/JSON, or consumed through REST or MQTT for integration into ERP and maintenance systems.
Threshold rules can trigger alerts for abnormal engine temperature, pressure fluctuations, or hydraulic imbalance. Automated workflows generate work orders, schedule inspections, and dispatch technicians based on live conditions rather than fixed intervals. This reduces downtime, prevents component failure, and maintains uptime targets across fleets operating under high mechanical load.
SAE J1939
Reliable communication and diagnostics with SAE J1939 compliance
The AutoPi platform implements full SAE J1939 support for communication, diagnostics, and control across heavy-duty machinery. All data frames, parameter group numbers (PGNs), and suspect parameter numbers (SPNs) are parsed, validated, and logged to ensure interoperability across OEMs and subsystems. This guarantees consistent communication between engines, transmissions, and auxiliary modules on mixed-brand fleets.
Each ECU interaction can be configured with filters, custom request rates, and event-based capture for DTCs, throttle, torque, or fuel rate. Data is normalized into structured time series, enabling long-term trend analysis and benchmarking across vehicles or applications. J1939 transport and diagnostic messages are version-controlled, ensuring that all devices use identical decoding definitions for reproducible results.
Integration options include REST, MQTT, and scheduled file exports for downstream analytics and reporting systems. Combined with real-time monitoring, the J1939 implementation enhances safety, enables predictive maintenance, and ensures compliance with industry standards for reliability and emissions.
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Frequently asked questions
Technical answers about heavy equipment telematics, J1939, CAN bus data, predictive maintenance, geofencing, and integrations.
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Solutions for Heavy Equipment Management
All of our business solutions are customizable to meet your requirements.
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