Marine Water Sampling Control for Accurate Depth-Tagged Collection
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Solution Overview
Problem
Current methods for monitoring water quality in bodies of water are labor-intensive and time-consuming, requiring manual collection and testing of samples, which can be inefficient and prone to errors, especially in ensuring geographic tagging and depth accuracy.
Innovation Solution
A method utilizing a marine vessel equipped with an electronic device that follows predefined model data to automatically collect and compare sensor data with predefined models, adjusting its movements to optimize sampling and testing procedures, potentially using autonomous underwater or aerial vehicles for data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sampling and testing methods are used, then geographic tagging and depth accuracy can be ensured through operator attention, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical sampling operations with an automated system comprising a marine vessel, water sample device, and electronic controller. The controller automatically generates control signals to move the water testing part to predefined positions and depths, eliminating manual labor while maintaining measurement precision through automated geographic tagging and depth monitoring.
Solution Approach 2:
The system performs self-service by automatically comparing sensor data with predefined model data and generating control signals for subsequent movements without human intervention. The electronic device autonomously determines whether additional sampling is needed and adjusts the sampling strategy based on real-time data analysis, reducing both time and labor requirements.
2Productivity
If automated sampling systems are implemented, then efficiency and productivity increase, but device complexity and cost increase
Solution Approach 1:
The marine vessel is designed as a multi-functional platform that can perform both navigation and water sampling operations. The water sample device integrates multiple functions including sensing, data processing, and autonomous control within a single system, reducing the need for separate equipment and operators while maintaining high productivity.
Solution Approach 2:
The electronic device acts as an intermediary between the sensor data and the control signals, processing and analyzing data to determine subsequent actions. This intermediary layer simplifies the overall system architecture by centralizing intelligence in a single controller rather than distributing complex logic across multiple components.
3Reliability
If comprehensive water quality monitoring is performed across multiple depths and locations, then measurement completeness improves, but the time and resources required increase
Solution Approach 1:
The system uses predefined model data that specifies optimal sampling positions, depths, and criteria before deployment. This preliminary planning allows the automated system to efficiently navigate to predetermined locations and perform targeted sampling, ensuring comprehensive coverage of multiple depths and locations without unnecessary delays or redundant measurements.
Solution Approach 2:
The system continuously compares sensor data with predefined model data and uses this feedback to determine whether additional sampling is needed. This closed-loop control ensures that monitoring is comprehensive and representative while avoiding redundant measurements, optimizing the balance between data quality and time efficiency.
Data Source
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AI summary
In accordance with the invention, there is provided a method of obtaining samples from a body of water by a marine vessel in a body of water the marine vessel comprising an electronic device, the method comprising: obtaining a predefined model data of a first water sample device, generating a first primary control signal for the first water sample device and performing a first movement of a first testing part in a first position in the body of water, receiving a first sensor data from the first water sample device, generating first comparison data where the first sensor data is compared with the predefined model data of the first water sample device, generating a second primary control signal to the first water sample device based on the first comparison, performing a second movement of the first water testing part relative to the body of water.