Real-time Fish Movement Guide System

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Solution Overview

Problem

Anglers face challenges in interpreting and predicting the effects of seasonal and environmental conditions on fish movements and locations, as these conditions change frequently and interact in complex ways, making it difficult to determine optimal fishing locations in real-time.

Innovation Solution

A real-time fish movement and location guide system that uses a user interface, communication system, and hardware processor to gather and analyze environmental condition data, classify each condition, produce intensity scores, and adjust a baseline active fish depth range to provide users with an updated fishing location recommendation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If anglers manually interpret and predict fish movements based on multiple environmental conditions, then they can make fishing decisions, but the complexity of interpreting multiple changing conditions makes it extremely difficult to understand their effects on fish

Engineering Contradiction:

Improveease of interpreting environmental conditionsVSAvoidcomplexity of environmental condition interactions

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system segments the complex task of fish location prediction into distinct environmental condition factors (water temperature, light levels, wind conditions, barometric pressure, etc.), each evaluated separately through classification and intensity scoring, then combines these segmented evaluations into an overall fish activity prediction

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary computational layer that processes environmental condition data through classification and intensity value assignments, translating raw environmental data into meaningful fish behavior predictions without requiring anglers to directly interpret the complex interactions

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If the system considers more environmental conditions and seasonal factors, then the accuracy of fish location prediction improves, but the complexity of data processing and analysis increases

Engineering Contradiction:

Improveprecision of fish location predictionVSAvoidcomplexity of data processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system dynamically adjusts the evaluation of environmental conditions based on seasonal variations and current conditions, using flexible classification schemes that adapt to different times of year and environmental contexts, allowing accurate predictions without requiring a static complex model for every possible scenario

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes parameters through classification and intensity value assignments, transforming raw environmental data into standardized metrics that can be systematically combined and analyzed, simplifying the processing of multiple environmental factors while maintaining prediction accuracy

Inventive Principle:

Principle #35Parameter changes

3Reliability

If environmental conditions are monitored in real-time, then the relevance of fishing recommendations is improved, but the amount of data to be processed and analyzed increases

Engineering Contradiction:

Improverelevance of fishing recommendationsVSAvoidquantity of environmental data

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system focuses on evaluating the intensity and classification of key environmental conditions rather than processing every possible data point, using selective intensity scoring for the most influential factors to provide timely recommendations without being overwhelmed by complete data processing

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system uses feedback mechanisms where environmental condition data is continuously monitored, classified, and evaluated against established criteria, with results fed back into the prediction model to maintain real-time relevance of fishing recommendations based on current conditions

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11793185B2Real-time fish movement and location guide

Publication Date: 2023.10.24 GIERKE CHARLES CHRISTOPHER

AI summary

A real time fish movement and location guide system and method provides an output to an angler of a real time adjusted active fish depth range based upon a set of environmental conditions. Input data relating to the environmental conditions is received from the angler through a user interface and from Internet sources. In some embodiments, the input data is also used to provide outputs indicating weather fronts that will affect movement and location, and to provide lure recommendations and notifications that a change in lure is appropriate in view of changing conditions.