Submersible Sensor Network for Real-Time Water Temperature Monitoring
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Solution Overview
Problem
Current systems for monitoring temperature and conditions in water bodies are inadequate for real-time, comprehensive data collection and sharing, particularly for fishing purposes, as they lack integrated and user-friendly solutions for tracking thermal structures and fish behavior.
Innovation Solution
A monitoring system comprising submersible sensors connected to mobile devices and the Internet cloud, with an app that integrates data from multiple sensors, allowing real-time data sharing and user input, enabling users to track temperature profiles, fish catch data, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple sensors are deployed geographically about the water body to collect comprehensive data, then data completeness and coverage are improved, but system complexity and data integration difficulty increase
Solution Approach 1:
The system divides the monitoring task into multiple independent sensor nodes deployed at different geographic locations. Each sensor independently collects local data (temperature, depth, GPS coordinates), and the results are aggregated through a mobile device interface. This segmentation allows comprehensive coverage without requiring a single complex centralized system.
Solution Approach 2:
The mobile device serves multiple functions: it acts as a data collection interface, a processing unit, a storage device, and a communication gateway. By making the mobile device multi-functional, the system reduces overall complexity while maintaining the ability to integrate data from multiple sensors.
2Productivity
If real-time data integration and sharing is implemented across multiple devices, then data accessibility and fishing efficiency are improved, but communication bandwidth and processing requirements increase
Solution Approach 1:
The system pre-processes and structures data locally on each mobile device before transmission to the cloud. GPS coordinates, temperature readings, and depth information are organized and validated at the source, reducing the amount of raw data that needs to be transmitted and processed in real-time, thereby lowering communication energy requirements.
Solution Approach 2:
The Internet cloud serves as an intermediary that facilitates data sharing between multiple mobile devices without requiring direct peer-to-peer communication. Each device communicates with the cloud, which then distributes relevant information to other users, reducing overall communication bandwidth requirements compared to a fully connected mesh network.
3Measurement precision
If comprehensive environmental parameters are monitored including temperature, depth, and GPS location, then fish habitat identification accuracy is improved, but measurement precision requirements and device complexity increase
Solution Approach 1:
The system combines multiple measurement functions (temperature sensing, depth measurement, GPS location tracking) into an integrated monitoring solution that leverages existing mobile device capabilities. By merging these functions and utilizing the mobile device's built-in sensors and processing power, the system achieves comprehensive environmental monitoring without proportionally increasing device complexity.
Data Source
AI summary
A monitoring system is disclosed herein. In various aspects, the monitoring system may include a sensor mounted upon a submersible probe to detect sensor data at a depth within a water body, and a mobile device in communication with the sensor to receive the sensor data. The mobile device may be in communication with the Internet cloud to communicate data with the Internet cloud, the data comprising the sensor data and additional sensor data from additional probes geographically disposed about the water body at known GPS locations. An app may be operably engaged with the mobile device and with the Internet cloud to control the communication of data between the mobile device and the Internet cloud, and the app may integrates the data for on the mobile device in real time. This Abstract is presented to meet requirements of 37 C.F.R. § 1.72(b) only. This Abstract is not intended to identify key elements of the apparatus and methods disclosed herein or to delineate the scope thereof.