Aggregated Sonar Data Fishing Activity Report System
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Solution Overview
Problem
Fishermen rely on experience, chart marking, and anecdotal evidence for planning fishing expeditions, lacking a systematic approach to utilize sonar data and fishing logs effectively for determining fish activity and optimal fishing conditions.
Innovation Solution
A system that aggregates and analyzes sonar data from multiple marine electronic devices to generate a fishing activity report, incorporating location and condition parameters, which can be filtered to provide optimal fishing locations and conditions, and alerts users to hot spots and optimal fishing times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If fishermen use experience, chart marking, and anecdotal evidence for planning fishing expeditions, then they can plan trips without systematic data analysis, but they lack accurate information on fish activity and optimal fishing conditions
Solution Approach 1:
The patent combines sonar data from multiple marine electronic devices with fishing log data into a unified fishing activity report. This merging of data sources provides comprehensive fish activity information that neither source could provide alone, resolving the information deficiency without requiring individual fishermen to manage complex separate systems.
Solution Approach 2:
The system serves multiple functions: it aggregates sonar data, processes fishing logs, generates activity reports, identifies optimal fishing locations, and provides real-time alerts. This multi-functional approach consolidates what would otherwise require multiple separate tools into a single system, reducing overall complexity while improving information quality.
2Loss of information
If fishermen manually analyze sonar data and fishing logs, then they can understand fish activity patterns, but it requires significant time and effort
Solution Approach 1:
The system automatically aggregates sonar data and fishing logs, processes the information, and generates fishing activity reports without requiring manual analysis. The automated processing identifies fish activity patterns and optimal fishing conditions independently, freeing fishermen from time-consuming manual data analysis while maintaining comprehensive pattern recognition.
Solution Approach 2:
The system pre-processes and stores sonar data and fishing logs in an organized manner, creating ready-to-analyze datasets. This preliminary organization of data allows for rapid generation of fishing activity reports when needed, eliminating the need for time-consuming manual analysis at the point of use.
3Loss of information
If fishermen use personal logs and anecdotal evidence, then they can track their own fishing experiences, but they cannot access aggregated data from other devices or locations
Solution Approach 1:
The system merges sonar data from multiple marine electronic devices with fishing log data into a unified fishing activity report. This merging of data sources provides comprehensive fish activity information that neither source could provide alone, resolving the information deficiency without requiring individual fishermen to manage complex separate systems.
Solution Approach 2:
The system acts as an intermediary that collects, standardizes, and integrates data from various sources including sonar devices and fishing logs. This intermediary processing layer harmonizes different data formats and sources, making aggregated data accessible without requiring fishermen to directly manage the complexity of multiple data sources.
4Loss of information
If fishermen scan areas using sonar transducer to determine current fish activity, then they can find structure that may attract fish, but they cannot access historical sonar data from other devices
Solution Approach 1:
The system merges sonar data from multiple marine electronic devices with fishing log data into a unified fishing activity report. This merging of data sources provides comprehensive fish activity information that neither source could provide alone, resolving the information deficiency without requiring individual fishermen to manage complex separate systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a data-driven approach for fishermen to plan successful fishing trips by identifying areas with high fish activity and optimal conditions, enhancing catch rates and trip planning efficiency.
Implementation Method 1
sonar data from a plurality of marine electronic devices may be aggregated and analyzed for determining fish activity
Data Source
AI summary
A computing device is configured to receive a plurality of sets of sonar data, current locations associated with the sonar data, and condition parameters associated with the plurality of sets of sonar data from one or more marine electronic devices. The computing device receives a request from a user to display a condition and location based fishing activity s report. The request indicating a location and a condition parameter associated with desired fishing activity. The computing device filters the plurality of sets of the sonar data based on the request to generate a fishing activity report including one or more portions of the plurality of sets of the sonar data that are associated with the indicated location and the condition parameter and causes display of the fishing activity report on a screen such that the one or more portions of the plurality of sets of the sonar data are displayed.