A PLC controller fault detection system

Abstract

The application discloses a PLC controller fault detection system and relates to the technical field of industrial control equipment fault detection.The system acquires PLC operation environment data through a multi-physical quantity holographic acquisition module, constructs a fault model through a multi-physical quantity fusion model module after cleaning and feature fusion by a data preprocessing module, dynamically calculates a judgment threshold and evaluates a state through a self-adaptive threshold judgment module, and constructs a propagation path graph based on a model and historical cases through a fault tracing analysis module, so that the accurate tracing of a fault source and a propagation process is realized.The application integrates multi-physical quantity holographic acquisition and feature fusion algorithms, synchronously monitors multi-dimensional parameters and constructs a comprehensive feature model, improves fault identification accuracy, and avoids misjudgment.The self-adaptive threshold judgment realizes dynamic optimization, improves early warning accuracy, meanwhile, the element fault propagation algorithm accurately traces, optimizes a path in combination with historical cases, and shortens downtime and reduces maintenance costs through full-process intelligent support.

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