Equipment intelligent connector management system

Through a closed-loop management system based on multi-dimensional data acquisition and improved algorithms, the problems of inaccurate data processing and delayed fault response in the underwater connector management system have been solved, achieving efficient and reliable management of underwater connectors.

CN121808459APending Publication Date: 2026-04-07XIAMEN DINGXIN TECH CO LTD +1
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Patent Information

Application Number
CN202610217890.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-23
Publication Date
2026-04-07

AI Technical Summary

Technical Problem

Existing underwater connector management systems fail to effectively manage faults specific to the underwater environment, such as corrosion current and sealing pressure, and lack effective data processing and feedback verification mechanisms, resulting in delayed fault response and low processing efficiency.

Method used

A modular system employing multi-dimensional data acquisition, anti-interference processing, intelligent diagnosis, closed-loop decision execution, and distributed storage, combined with an underwater-specific fault feature library and improved algorithms, forms a closed-loop data flow, enabling accurate data acquisition, distortion-free processing, and rapid fault identification and handling.

Benefits of technology

It enables accurate data acquisition and distortion-free processing of complex underwater working conditions, improves the accuracy of fault identification and response time, and enhances the operational reliability and management intelligence of underwater connectors.

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Abstract

The invention provides an equipment intelligent connector management system which comprises an underwater data acquisition module, an anti-interference data preprocessing module, an underwater intelligent diagnosis module, a closed-loop decision execution module, an underwater distributed storage module and an underwater cloud interaction module which are sequentially connected to form a closed-loop data stream. The system adapts to underwater complex working conditions, collected data are accurate and distortionless, the problems that a traditional system is insufficient in collection dimension and prone to data transmission misalignment are solved by integrating multiple types of special sensors, synchronously collecting underwater exclusive signals such as corrosion current and sealing pressure and matching cyclic redundancy check, and the improved LSTM model is combined with an underwater exclusive fault feature library, so that the data transmission accuracy is improved. Through cosine similarity comparison and accurate identification of three types of underwater specific faults such as sealing failure, the problems that a traditional system depends on a land fault library and is insufficient in identification capability are solved, a three-level emergency instruction is linked with a feedback verification mechanism, re-diagnosis is triggered if the standard is not reached, and the problems that the traditional system is lagged in response and disjointed in processing are solved.
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