A method and system for estimating the depth of a fishing lure

By acquiring and processing shipborne electronic data and fishing vessel operating parameters, combined with fishing mode recognition, the depth of the bait is accurately estimated and sent to the fishing vessel display unit. This solves the problems of cumbersome operation and reliance on experience in existing technologies, and improves fishing efficiency and fishing effect.

CN122153201APending Publication Date: 2026-06-05深圳市蓝色涌现科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳市蓝色涌现科技有限公司
Filing Date
2026-02-05
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing fishing gear cannot effectively transmit underwater environmental data to the fishing reel, forcing anglers to frequently switch between observations. This is cumbersome and relies on experience to judge the depth of the bait, resulting in large errors and affecting fishing efficiency and results.

Method used

By acquiring shipboard electronic data and fishing vessel operating parameters, performing semantic analysis and standardization processing, and combining this with fishing pattern recognition, the depth of the bait is accurately estimated, and the results are sent to the fishing vessel display unit.

Benefits of technology

It enables the precise application of underwater environmental data to the fishing reel, reduces the subjectivity and error in judging the depth of the bait, and improves the fishing efficiency and fishing effect.

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Abstract

The application provides a fishing bait depth estimation method and system, which comprises the following steps: obtaining shipborne electronic data based on a shipborne device and obtaining operation parameter data of a fishing reel; performing semantic analysis and standardization processing based on the shipborne electronic data to obtain shipborne structured data with unified standard fields; the shipborne structured data at least includes standardized water bottom depth, ship speed, fish school depth interval and water bottom change trend; performing fishing mode recognition based on the shipborne structured data and the operation parameter data to obtain a current fishing mode, and performing bait depth estimation based on the current fishing mode, the shipborne structured data and the operation parameter data to obtain a preliminary estimation result; and performing matching analysis based on the preliminary estimation result and a fish school depth interval of fish school distribution related data to obtain a bait target depth. The application improves the intelligence and accuracy of fishing.
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