Sintering Equipment Health Evaluation Using Rule-Based Parameter Deviations

The patent transforms the evaluation from subjective statistical analysis to objective rule-based determination by changing the parameter evaluation method. It establishes specific parameter thresholds and deviation criteria (e.g., temperature deviation >20℃, vibration deviation >30%) to convert qualitative health assessment into quantitative measurement, thereby improving accuracy while maintaining ease of implementation.

The patent segments the health evaluation into distinct parameter assessments (temperature, vibration, pressure, etc.) with independent thresholds and deviation calculations. Each parameter is evaluated separately against its own criteria, then aggregated to determine overall health state. This segmentation enables precise measurement of each component while keeping the overall evaluation process systematic and easy to implement.

The patent implements a self-service evaluation system where the device automatically collects data from sensors, compares readings against predefined thresholds, and generates health assessments without human intervention. The system performs self-diagnosis by calculating deviations and determining health states autonomously, dramatically improving evaluation speed while maintaining simple system architecture through rule-based automation.

The patent replaces manual mechanical evaluation processes with automated electronic data collection and processing. Sensors automatically monitor parameters, microprocessors calculate deviations, and algorithms determine health states, substituting human expertise with electronic systems. This substitution maintains low complexity through straightforward rule-based logic while achieving rapid automated evaluation.