Method for identifying inland river container ship and related device

By constructing a port space set and a semi-supervised self-training model, and utilizing the berthing behavior characteristics of inland waterway container ships, the accuracy and robustness issues in inland waterway container ship identification were solved, achieving efficient automatic identification results.

CN121598169BActive Publication Date: 2026-07-21YIHAILAN (BEIJING) DATA TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YIHAILAN (BEIJING) DATA TECH CO LTD
Filing Date
2025-12-10
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve robust and accurate automatic identification of inland waterway container ships, especially under limited known sample conditions. Traditional methods suffer from high annotation costs, insufficient feature utilization, and weak generalization and interpretability.

Method used

By acquiring data from the Automatic Identification System (AIS) of vessels and the geographical information of the wharf in the target waters, a port spatial set is constructed to identify vessel berthing events, calculate berthing frequency and comprehensive score, and use a semi-supervised self-training model for self-expansion learning to generate pseudo-labels, thereby enabling the determination of the type of vessel to be identified.

Benefits of technology

In complex inland waterway scenarios, relying solely on publicly available data and limited samples, inland container ships can be identified efficiently and accurately, providing a crucial data foundation for shipping research and management, and improving the accuracy and robustness of identification.

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Abstract

Embodiments of the present application provide an inland container ship identification method and related device, which relates to the technical field of ship automatic identification, wherein the inland container ship identification method comprises: acquiring ship automatic identification system data, wharf geographic space data and ship sample data of a target water area within a set time window; constructing a port space set based on the wharf geographic space data; identifying a berthing event of a ship in the port space set based on the ship automatic identification system data; determining a corresponding berthing behavior feature of each ship according to the berthing event; constructing and training a semi-supervised self-training model; acquiring at least one to-be-identified ship sample in the target water area; judging the type of the to-be-identified ship sample according to the semi-supervised self-training model, and outputting an identification result list of the inland container ship. Through the scheme of the present application, the accuracy of inland container ship identification is improved.
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Citation Information

Patent Citations

  • Ship type inference system and method

    CN113849902A

  • Method and system for identifying end port of vessel

    WO2023056656A1