Optical Pollution Measurement Device with Dual-Path Signal Segmentation
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Solution Overview
Problem
Existing hydraulic oil pollution level diagnosis devices mistakenly detect air bubbles as pollution, leading to incorrect measurement results.
Innovation Solution
A measurement device with a light emitting section, a light receiving section, a particle detection section, an air bubble detection section, and a pollution level measurement section, where the air bubble detection section amplifies signals differently to distinguish between particle and air bubble detection, preventing erroneous measurements by generating a signal to indicate when air bubbles are present and allowing for rectification of the pollution level signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If air bubbles are detected using the same method as particles, then the detection system is simple, but erroneous measurement occurs because air bubbles are mistaken for pollution
Solution Approach 1:
The detection system is segmented into two separate detection paths: a particle detection section with first amplification ratio for pollution particles, and an air bubble detection section with second amplification ratio for air bubbles. This segmentation allows different amplification ratios to be applied to different target objects, resolving the contradiction by maintaining simple overall structure while achieving precise differentiation between particles and air bubbles.
Solution Approach 2:
Different amplification ratios are applied locally to different detection sections: the particle detection section uses a first amplification ratio optimized for pollution particles, while the air bubble detection section uses a second amplification ratio optimized for air bubbles. This local quality differentiation enables each section to operate at optimal sensitivity for its specific target, preventing erroneous measurement while maintaining system simplicity.
2Device complexity
If a single amplification ratio is used for all detections, then the device structure is simple, but both particles and air bubbles cannot be distinguished
Solution Approach 1:
The signal processing is segmented into parallel processing paths with different amplification ratios. The particle detection section amplifies signals by a first ratio while the air bubble detection section amplifies by a second ratio, allowing reliable distinction between particle and air bubble signals despite increased processing complexity.
Solution Approach 2:
The amplification ratio parameter is changed based on the detection target: a first amplification ratio is applied for particle detection and a second amplification ratio for air bubble detection. This parameter differentiation enables reliable detection and distinction of different objects, resolving the reliability issue while accepting increased device complexity.
3Productivity
If air bubbles are present in the liquid, then the measurement can be completed quickly, but the measurement result becomes erroneous
Solution Approach 1:
The system continuously monitors both particle detection signals and air bubble detection signals, and provides feedback to determine whether air bubbles are present. When air bubbles are detected, the system can indicate that measurement cannot be performed or suppress air bubble signals from the pollution level calculation, preventing erroneous results while maintaining continuous measurement capability.
Solution Approach 2:
An air bubble detection section acts as an intermediary between the light receiving section and the pollution level measurement section. This intermediary detects air bubbles and provides information to the pollution level measurement section, allowing the system to distinguish between air bubbles and pollution particles, thereby preventing erroneous measurement while maintaining measurement productivity.
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 measurement of pollution levels by distinguishing and removing the effect of air bubbles from the signal, preventing erroneous measurements and allowing for reliable hydraulic oil quality assessment.
Implementation Method 1
a light emitting section that continuously emits light into a liquid; a light receiving section that continuously receives the light continuously emitted from the light emitting section and that has passed through the liquid
Data Source
AI summary
A measurement device includes: a light emitting section that continuously emits light into a liquid; a light receiving section that continuously receives the light continuously emitted from the light emitting section and that passed through the liquid, and converts the continuously received light into a continuous electrical signal; a particle detection section that amplifies by a first amplification ratio the continuous electrical signal converted by the light receiving section, and generates a particle detection signal as a continuous signal; an air bubble detection section that amplifies by a second amplification ratio that is smaller than the first amplification ratio the continuous electrical signal converted by the light receiving section, and generates an air bubble detection signal as a continuous signal; and a pollution level measurement section that generates a signal for measuring the pollution level of the liquid based on the particle detection signal and the air bubble detection signal.