Microparticle Measurement Device Abnormal Condition Detection
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Solution Overview
Problem
Conventional microparticle measuring devices face inefficiencies due to inability to recognize sample absence or bubble formation, leading to unnecessary measurements and prolonged analysis times, which can result in sample deterioration and compromised data quality.
Innovation Solution
A microparticle measuring device equipped with a detecting unit and an information processing unit that determines abnormal conditions, such as absence of microparticles or bubble presence, and controls the measurement process to finish detection in affected containers, thereby improving measurement efficiency and data quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If measurement is carried out continuously from multiple containers without additional detection mechanisms, then device complexity is reduced, but measurement precision deteriorates due to inability to recognize sample absence or bubble formation
Solution Approach 1:
The detecting unit is designed to perform multiple functions: it detects both normal microparticles and abnormal conditions (sample absence, bubbles) using the same optical detection system. This eliminates the need for separate bubble sensors or sample presence detectors, reducing device complexity while maintaining measurement precision through multi-functional detection capabilities
Solution Approach 2:
The system uses its own detection system to monitor for abnormal conditions during measurement. The detecting unit automatically identifies when sample is absent or when bubbles are present by analyzing the optical signals, allowing the system to self-diagnose and self-correct without external monitoring equipment, thereby maintaining precision without adding complexity
2Productivity
If measurement continues until a detection number threshold is reached, then productivity is improved through automated measurement, but loss of time increases due to unnecessary measurements when sample is absent
Solution Approach 1:
The system continuously monitors detection signals for abnormal patterns indicating sample absence or bubble formation. When such abnormalities are detected, the system provides feedback to stop measurement for the current container and proceed to the next one, preventing wasted measurement time while maintaining automated productivity through intelligent process control
Solution Approach 2:
The detecting unit is configured to identify abnormal conditions at the beginning or during early stages of measurement. By detecting sample absence or bubbles before reaching the detection number threshold, the system can prematurely terminate unnecessary measurements, saving time while preserving the automated workflow for valid samples
3Measurement precision
If measurement is extended to ensure sufficient detection numbers, then measurement precision is improved, but reliability deteriorates due to sample deterioration from prolonged measurement
Solution Approach 1:
The system monitors for abnormal conditions during measurement and provides feedback to terminate measurement when sample absence or bubbles are detected. This prevents prolonged measurement of deteriorating samples, maintaining reliability by ensuring that only valid, non-deteriorated samples are measured while still achieving sufficient detection numbers through selective continuation
Solution Approach 2:
The system measures samples partially by detecting abnormal conditions and stopping measurement when necessary. Rather than completing full measurement cycles for all containers regardless of sample validity, the system performs measurement only when conditions are appropriate, ensuring reliability by avoiding measurement of deteriorating samples while maintaining precision through adequate detection of valid samples
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
The solution enhances measurement efficiency by promptly identifying and addressing abnormal conditions, reducing unnecessary measurements, and ensuring reliable data collection without the need for additional hardware, such as bubble sensors, thus improving the reliability and speed of fully automated microparticle analysis.
Implementation Method 1
a detecting unit which detects light from a microparticle
Implementation Method 2
an information processing unit which specifies a feature amount related to a detection number, determines that the feature amount is abnormal on the basis of a predetermined threshold, and controls to finish detection for the one container
Data Source
Figure 1
Figure 2
Figure 3~6
AI summary
The present technology provides a technology of improving measurement efficiency in microparticle measurement for optically measuring a characteristic of a microparticle. For this, in the present technology, there is provided a microparticle measuring device and the like provided with a detecting unit which detects light from a microparticle sent from one of a plurality of containers containing microparticles, and an information processing unit which controls to specify a feature amount related to a detection number in a certain time section on the basis of information detected by the detecting unit, determine that the feature amount is abnormal on the basis of a predetermined threshold, and finish detection for the one container.