An engineering equipment work efficiency improvement system

By employing an asynchronous rolling optimization mechanism, disturbance quantification judgment, and parameter closed-loop correction control, the problem of lag in dynamic 3D model updates and optimization calculations was solved, enabling stable and efficient operation of engineering equipment and improving the system's ability to adapt to complex working conditions.

CN122308143APending Publication Date: 2026-06-30CCCC SECOND HARBOR ENGINEERING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CCCC SECOND HARBOR ENGINEERING CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies suffer from problems such as lag, frequent recalculation, and difficulty in implementing optimization results in dynamic 3D model updates and optimization calculations, leading to a decline in the operational efficiency of engineering equipment and system stability.

Method used

An asynchronous rolling optimization mechanism, a disturbance quantization judgment module, and a parameter closed-loop correction control module are adopted to realize the continuous operation of dynamic model updates and optimization calculations, reasonable control of optimization triggers, and effective transformation of results, thus constructing a closed-loop collaborative mechanism.

Benefits of technology

It improves the real-time performance and effectiveness of optimization results, avoids optimization interruptions, enhances system stability and resource utilization efficiency, and improves the operational efficiency of engineering equipment.

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Abstract

This invention relates to the field of intelligent operation control technology for engineering equipment, and proposes a system for improving the operation efficiency of engineering equipment. The system includes an asynchronous rolling optimization mechanism module, a disturbance quantification judgment module, and a parameter closed-loop correction control module. The asynchronous rolling optimization mechanism module maintains continuous optimization calculations while the dynamic 3D model is continuously updated; the disturbance quantification judgment module comprehensively evaluates terrain changes, equipment status changes, and operation progress deviations, and controls the triggering method of optimization calculations; the parameter closed-loop correction control module converts the optimization results into executable control commands and dynamically adjusts and limits deviations during execution. Through the synergistic effect of these modules, closed-loop control is achieved between model updates, optimization decisions, and equipment execution, improving the system's operation efficiency and stability in complex dynamic environments.
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