Turbidimeter Waveform Analysis for Automatic Substance Identification
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Solution Overview
Problem
Existing turbidimeters require visual observation to identify the cause of turbidity changes in liquids, which is inconvenient and may lead to missed opportunities for preventing recurrence of abnormalities.
Innovation Solution
A control apparatus that measures turbidity based on received light waveforms, acquires waveform data when turbidity exceeds a threshold, and uses this data to identify the type of substance mixed in the liquid through an identification process, potentially utilizing a trained model or database, to determine the substance type without visual observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If visual observation is used to identify the cause of turbidity changes, then the user can directly see the state of the liquid, but it requires manual intervention and may lead to missed opportunities for preventing recurrence
Solution Approach 1:
The patent replaces the mechanical/visual observation system with an optical analysis system. The turbidimeter captures received light waveforms and uses image processing algorithms to automatically analyze the liquid state, substituting manual visual inspection with automated optical measurement and digital image processing to identify the cause of turbidity changes
Solution Approach 2:
The system enables self-service by automatically identifying the cause of turbidity changes without requiring user intervention. The control apparatus autonomously processes light waveform data, generates images, analyzes patterns, and determines the substance type mixed in the liquid, allowing the system to serve itself in diagnosing water quality issues
2Extent of automation
If automated identification of substance type is implemented, then the cause of turbidity change can be identified automatically, but the device complexity increases
Solution Approach 1:
The control apparatus performs multiple functions using a unified system: it measures turbidity, captures light waveforms, generates images, analyzes image patterns, and identifies substance types. This multi-functional approach allows automated substance identification while consolidating operations into a single integrated device rather than requiring separate systems for each function
Solution Approach 2:
The system identifies substances by analyzing changes in optical parameters - specifically, by comparing the received light waveform patterns and image features against reference data. The control apparatus detects variations in light transmission and scattering characteristics to determine the type of substance mixed in the liquid, using parameter changes rather than complex structural analysis
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
Enables accurate identification of the cause of turbidity changes in liquids without visual inspection, reducing user burden and facilitating proactive measures to prevent recurrence of abnormalities.
Implementation Method 1
a light receiving element 31 that receives the light 53 and outputs received light
Data Source
AI summary
A control apparatus includes a controller configured to measure turbidity based on received light waveforms of light received through a liquid to be measured, acquire waveform data indicating a received light waveform of light received when the measured turbidity rises above a threshold, execute, using the acquired waveform data as input, an identification process for identifying a type of substance mixed in the liquid to be measured to thereby acquire an identification result of the type of substance, and determine the type of substance with reference to the acquired identification result.