A remote control system for port container cranes

By dynamically adjusting bandwidth allocation and using smoothing compensation technology, the dynamic adaptability issues of remote control systems for container cranes in terms of network jitter and bandwidth allocation have been resolved, achieving efficient visual feedback and safe mechanical control, and improving the stability and safety of remote control.

CN122079018APending Publication Date: 2026-05-26上海梅恒起重机械(集团)有限公司
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Patent Information

Application Number
CN202610377629.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-26
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing remote control systems for container cranes struggle to adapt to the complex dynamics of cranes when dealing with network jitter and bandwidth allocation issues. This leads to mechanical motion misalignment and unstable video quality, lacking the necessary fault tolerance capabilities and impacting operational safety and visibility stability.

Method used

By introducing a network monitoring module, sensor group and controller, the bandwidth allocation ratio of the video region of interest is dynamically adjusted and the control commands are smoothly compensated. Combined with mechanical inertia characteristics and physical boundary constraints, precise control of the trolley and the lifting device and optimization of visual resources are achieved.

Benefits of technology

It improves the success rate of remote control, ensures high-definition visual feedback at critical moments and saves network resources at non-critical moments, provides multi-dimensional operational safety protection, and reduces mechanical shock and visual fatigue.

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Abstract

This invention discloses a remote control system for port container cranes. The system comprises a network monitoring module, a controller, a sensor array, a video encoder, and a remote operation terminal. The system utilizes the sensor array to acquire physical parameters such as spreader height, trolley and spreader speed, and distance from the top of the target container. It calculates the bandwidth allocation ratio coefficient for the region of interest in the video and sets mandatory numerical range constraints to achieve precise mapping between visual resources and operational urgency. To address the mechanical inertia of the trolley mechanism, the system employs a combination of trend prediction and physical boundary limiting to smoothly compensate for control commands. The rate of change of the predicted commands is limited by the maximum permissible acceleration, resolving motion misalignment issues caused by network jitter. This invention improves the system's fault tolerance under extreme operating conditions, ensuring high-definition feedback and inherent safety during remote container operations.
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