Fishing Information Processing System for Optimal Trip Conditions
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Solution Overview
Problem
Current fishing information processing systems fail to effectively utilize and provide optimal fishing conditions to users, leading to suboptimal fishing experiences and potential issues during fishing trips.
Innovation Solution
A fishing information processing system that acquires and analyzes fishing data to determine events, stores relevant information, and provides estimated optimal conditions for fishing trips, reel, and rod settings, allowing users to improve their fishing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If fishing information is recorded and stored, then fishing data can be analyzed to provide optimal conditions, but the system complexity increases
Solution Approach 1:
The system divides fishing information into different types (reel information, rod information, fishing trip information) and stores them in separate storage units. The determination unit segments the analysis process by identifying specific events (fish caught, hook snagged, etc.) and the estimation unit segments the optimization by providing specific conditions for each event type. This segmentation reduces overall system complexity while maintaining comprehensive information utilization.
Solution Approach 2:
The patent introduces an estimation unit as an intermediary component that processes accumulated fishing information and generates optimal conditions. This intermediary layer simplifies the relationship between data collection and practical application by automatically translating raw fishing data into actionable recommendations, reducing the complexity burden on the user while maintaining high information utilization.
2Measurement precision
If event information is stored from time before event occurrence, then accurate analysis can be provided, but storage requirements increase
Solution Approach 1:
The system stores fishing information in advance (from a predetermined time before event occurrence) so that when events are detected, the relevant contextual data is already available for accurate analysis. This preliminary data collection enables precise event detection and condition estimation without requiring excessive real-time storage during critical moments.
Solution Approach 2:
The system applies different storage strategies for different types of information based on their relevance to specific events. Critical event-related information is stored with high precision and retention, while less critical general fishing information is stored with lower precision or for shorter durations. This local quality differentiation reduces overall storage requirements while maintaining measurement precision for event detection.
3Productivity
If optimum conditions are provided to users, then fishing results improve, but information processing time increases
Solution Approach 1:
The system continuously accumulates fishing information and automatically generates optimal conditions based on detected events, providing feedback to users in a timely manner. This feedback mechanism enables users to adjust their fishing techniques based on real-time or near-real-time analysis, improving fishing efficiency without requiring excessive processing time delays.
Solution Approach 2:
The system provides optimal conditions selectively based on the type and urgency of detected events, rather than processing all accumulated information uniformly. For critical events like fish being caught or hook snagged, the system prioritizes processing and provides immediate conditions, while less critical information is processed batch-wise. This partial action approach reduces overall processing time while maintaining high productivity for important fishing scenarios.
Data Source
AI summary
A fishing information processing system includes an acquisition unit that acquires prescribed fishing information, an information accumulation controller that accumulates the prescribed information acquired by the acquisition unit as accumulated information, an estimation unit that estimates optimum conditions related to a fishing trip based on the accumulated information accumulated by the information accumulation controller, and a provision unit that provides the optimum conditions estimated by the estimation unit to a user.