A Non-Intrusive AI-Based Automated Monitoring System for New Energy Production

Abstract

This invention discloses a non-intrusive AI-based automated monitoring system for new energy production, relating to the fields of industrial automation and intelligent monitoring technology. It includes a screen capture module, an action execution module, a multimodal information extraction module, a state fusion and confidence assessment module, an SC3 closed-loop monitoring control module, a process orchestration module, and a log auditing module. In each monitoring cycle, the system locks an interface snapshot and generates a set of interface anchor points and a set of readings. Through view positioning and region constraints, it performs structured extraction of readings to form a state candidate set. Combining recognition confidence, cross-frame stability, and cross-view consistency, it calculates state confidence and generates a state vector, constructs a conflict set, and performs gating decisions. Based on the afterimage verification results, it performs rollback or locking processing. The log auditing module records the entire process as a chain of evidence, achieving reliable closed-loop control of the monitoring process.

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