A collaborative operation and inspection control system based on fusion of AR virtual superimposition perception feedback and artificial inspection

The collaborative operation and maintenance control system, which integrates dynamic mathematical models and logical fusion arbitration units, solves the problem of lag in physical sensor perception and achieves stable and efficient control in unstructured environments.

CN122506969APending Publication Date: 2026-08-04国网山西省电力有限公司超高压变电分公司 +1
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Patent Information

Application Number
CN202610830617.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-10
Publication Date
2026-08-04

AI Technical Summary

Technical Problem

Existing closed-loop feedback systems in unstructured environments suffer from feedback signal deviations due to the perception lag of physical sensors and sampling gaps, making it difficult to capture the transient evolution of the controlled object. This leads to controller response lag and unexpected overshoot, and the reliance on hardware stacking increases system cost and computational burden.

Method used

By constructing a dynamic mathematical model to generate an estimated state feedback flow that precedes the physical perception sequence, and combining it with a logical fusion arbitration unit for weighted fusion, the AR virtual superimposed perception feedback is used to eliminate physical perception lag and improve system stability.

Benefits of technology

It achieves system stability and control precision under dynamic disturbances, reduces energy loss and mechanical wear, and ensures consistency of virtual-real mapping throughout the entire life cycle.

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Abstract

The application relates to the technical field of operation and inspection control or regulation systems, and discloses a collaborative operation and inspection control system based on AR virtual superimposed perception feedback and artificial inspection fusion, which comprises a feedback data sampling unit, a state evolution mapping unit, a logical fusion arbitration unit and an instruction execution driving unit. The logical fusion arbitration unit determines a feedback divergence characteristic value according to statistical distribution characteristics of a physical perception sequence, determines a confidence state and a fusion weight coefficient of a perception channel based on the feedback divergence characteristic value, selects a weighted fusion mapping relationship for the physical perception sequence and a predicted state feedback stream, and generates a collaborative control instruction. The application uses advanced feedback information generated by a dynamic mathematical model to offset the sampling lag of the perception channel, suppresses the step overshoot of an execution mechanism of a controlled object through a logical damping feature, solves the phase delay of closed-loop feedback in an unstructured dynamic disturbance scene, and improves the operation and inspection operation control precision and operation continuity.
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