Unmanned Lawn Mower Maintenance Alerts Based on Operating State

The patent changes the parameter basis for maintenance notification from cumulative work time to real-time operation state parameters (vibration, temperature, acoustic emission signals). This allows maintenance timing to be determined by actual machine condition rather than fixed time accumulation, preventing both excessive and insufficient maintenance while improving notification accuracy.

The system implements continuous monitoring of operation states and provides feedback to determine maintenance timing. By collecting real-time data from sensors and comparing it against threshold values or historical patterns, the system dynamically adjusts maintenance notifications based on actual machine condition, resolving the contradiction between simple notification methods and accurate timing.

The unmanned work machine autonomously monitors its own operation states and determines when maintenance is needed without external intervention. The machine self-diagnoses by analyzing sensor data and automatically generates maintenance notifications, eliminating the need for complex external management systems while preventing unnecessary maintenance that would reduce productivity.

The system performs preliminary detection of abnormal operation states before actual failure occurs. By continuously monitoring vibration, temperature, and acoustic emission signals and comparing them against predetermined thresholds or learned normal patterns, the system notifies maintenance in advance, preventing both unnecessary maintenance and actual failures that would halt productivity.