Concrete Pump Stability Monitoring with Sensor-Failure Fallback

The system stores extreme values (minimum and maximum) for each operational parameter beforehand. When a sensor defect is detected, these pre-stored extreme values are used as substitute data to maintain stability monitoring, cushioning against the reliability loss from sensor failure without interrupting operations.

Instead of relying on potentially defective sensor readings, the system creates substitute data by copying and using extreme values from historical operational data. This copying mechanism provides backup information that maintains monitoring functionality when original sensor data becomes unreliable.

The system uses copied extreme values from historical data to substitute defective sensor readings, allowing stability assessment to continue without shutdowns. This maintains productivity while preserving safety through alternative data sources.

The system serves itself by using its own historical operational data (extreme values) to compensate for sensor failures. This self-service capability eliminates the need for external backup sensors or manual intervention, maintaining both safety and operational continuity.

Instead of adding physical redundant sensors, the system creates virtual redundancy by copying and storing extreme values from operational parameters. This software-based approach provides backup data capabilities without the hardware complexity of additional sensors.

The system uses inexpensive computational resources to store and process extreme values as substitute data, replacing the need for expensive redundant sensor hardware. This disposable computational approach is cheaper and simpler than permanent hardware redundancy.