Surface Acoustic Wave Sensor Normalization for Measurement Accuracy

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current surface acoustic wave sensor devices face challenges in improving measurement accuracy due to variations in sensor sensitivity, leading to inconsistent results when detecting substances.

Innovation Solution

A measurement device and method that normalize sensor outputs using calibration data to produce waveforms, allowing for accurate calculation of substance concentrations by comparing these normalized waveforms to standard measurements, thereby reducing sensitivity differences between sensors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional surface acoustic wave sensor devices are used without normalization, then the device complexity is low, but the measurement precision deteriorates due to sensor sensitivity variations

Engineering Contradiction:
Improvemeasurement accuracyVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-normalizing sensor output data using calibration data before actual measurement. The calculation unit stores calibration data obtained under known conditions and uses it to normalize measurement data in advance, creating a standardized reference framework that eliminates the need for complex real-time sensitivity adjustments during measurement operations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements parameter changes by transforming the sensor output data through normalization operations. The calculation unit changes the parameter scale of raw sensor outputs by dividing them by corresponding calibration values, converting data from sensor-specific units to standardized units that are independent of individual sensor sensitivity variations, thereby improving measurement precision across multiple sensors.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If multiple sensors are used for measurement, then the reliability of detection increases, but the measurement precision deteriorates due to sensitivity differences between sensors

Engineering Contradiction:
Improvedetection consistencyVSAvoidmeasurement accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent applies equipotentiality by equalizing the output characteristics of multiple sensors through normalization. The calculation unit divides the output of each sensor by its corresponding calibration value, bringing all sensors to a common reference level despite their inherent sensitivity differences. This creates an equipotential state where all sensors operate on the same standardized scale, enabling direct comparison and improving both reliability and precision.

Inventive Principle:
Principle #12Equipotentiality

3Measurement precision

If sensor outputs are normalized using calibration data, then the measurement precision improves, but the loss of time increases due to additional processing steps

Engineering Contradiction:
Improvemeasurement accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent minimizes time loss by performing the normalization operation in a single computational step using pre-stored calibration data. The calculation unit retrieves calibration values from storage and immediately applies them to normalize measurement data without requiring iterative adjustments or complex multi-step procedures, thus achieving high precision measurement with minimal additional processing time.

Inventive Principle:
Principle #10Preliminary action

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

This approach enhances measurement accuracy by normalizing sensor outputs and comparing them to standard waveforms, resulting in improved consistency and reliability of substance detection and concentration measurement.

Implementation Method 1

A surface acoustic wave sensor device has been known conventionally

Methodology Applied
Scientific EffectSurface acoustic wave detection: Surface Acoustic Wave

Data Source

PatentUS11815489B2Measurement device and measurement method
Publication Date: 2023.11.14 KYOCERA CORP
  • US11815489B2 patent drawing
  • US11815489B2 patent drawing
  • US11815489B2 patent drawing

AI summary

A measurement device includes a sensor that detects a particular substance, a storage unit that stores calibration data that indicate a relationship between a measurement value of the particular substance and an output of the sensor, and a calculation unit that calculates the measurement value of the particular substance from the calibration data based on the output of the sensor. The calculation unit produces a first waveform where a plurality of first outputs of the sensor are normalized, produces a plurality of second waveforms where a plurality of second outputs of the sensor that are included in the calibration data are normalized. The calculation unit calculates a measurement value of the particular substance based on the first waveform and the plurality of second waveforms.