Parallel Conveyor Line Flow Resistance Modeling for Pump Diagnosis

The system uses the existing operational data and control system of the parallel pump assembly to automatically determine individual pump operating modes without requiring additional external measurement devices. The control device processes available operating parameters (flow rate, pressure, power consumption) to self-diagnose the operating state of each pump, making the system self-sufficient for diagnostic purposes

The invention introduces a computational model and evaluation algorithm as an intermediary between the existing sensors and the diagnostic goal. Instead of directly measuring pump operating modes with additional sensors, the system uses mathematical models that correlate easily measurable parameters (flow distribution, power consumption) with pump operating states, serving as a virtual mediator that translates available data into diagnostic information

The evaluation algorithm is designed to handle heterogeneous pump characteristics by applying local analysis to each pump individually. Instead of using a single standardized model for all pumps, the system evaluates each pump's contribution to the parallel assembly based on its specific operating parameters (individual power consumption, flow rate contribution, pressure differential), allowing accurate assessment of each pump's operating mode regardless of design differences

The system transforms the problem of heterogeneous pump assessment by changing the approach from model-based to parameter-based evaluation. Instead of relying on fixed pump performance models that assume identical designs, the method uses real-time operational parameters (power consumption, flow distribution, pressure differential) that naturally accommodate different pump designs and configurations, allowing the system to adapt to various pump types without requiring specific models for each