Measurement Terminal Dynamic Audio Analysis for Abnormality Detection
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Solution Overview
Problem
Existing abnormality determination systems for inspection objects with vibration units are inefficient in quickly determining abnormalities due to fixed data block sizes, neglecting the time period of measurement data, which hinders rapid and efficient assessment.
Innovation Solution
A measurement terminal and system that acquires audio data from inspection objects, derives the required measurement time based on object-specific features and abnormalities, and analyzes the data to determine the presence or absence of abnormalities, incorporating a derivation unit and analysis unit within the terminal and a cloud server for enhanced processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed data block size of 1024 points is used for measurement data, then the measurement process is simple and standardized, but the determination speed of abnormalities is slow and inefficient
Solution Approach 1:
The patent applies dynamics by making the data block size variable rather than fixed. The derivation unit dynamically calculates the appropriate data block size based on the required measurement time, which is determined by the inspection object's characteristics and the abnormality type. This allows the system to adapt the data processing parameters to achieve fast abnormality determination while maintaining simplicity in the overall measurement process.
Solution Approach 2:
The patent changes the parameter of data block size from a fixed value to a variable parameter that is derived based on measurement time requirements. The derivation unit calculates the data block size by multiplying the required measurement time by the sampling frequency, allowing the system to optimize the balance between measurement accuracy and determination speed for different inspection scenarios.
2Measurement precision
If measurement data is collected for a long time period, then the accuracy of abnormality detection is improved, but the time required for determination increases
Solution Approach 1:
The patent applies preliminary action by pre-storing in the memory the characteristics of inspection objects and abnormality patterns before actual measurement. The derivation unit uses this pre-stored information to calculate the optimal measurement time and data block size, avoiding the need for lengthy trial measurements and enabling accurate abnormality detection within a predetermined time frame.
Solution Approach 2:
The system implements feedback by continuously monitoring the measurement process and comparing the collected data against the derived criteria. The analysis unit evaluates whether the measured values exceed the threshold determined by the derivation unit, allowing the system to stop measurement early if abnormalities are detected, thus reducing determination time while maintaining accuracy.
3Adaptability or versatility
If a universal fixed measurement time is used for all inspection objects, then the measurement system is simple to operate, but it cannot efficiently determine abnormalities in specific inspection objects with different characteristics
Solution Approach 1:
The patent applies preliminary action by pre-storing in the memory the characteristics of various inspection objects and their abnormality patterns before actual measurement. When measurement is needed, the derivation unit retrieves the appropriate parameters for the specific inspection object, enabling adaptive measurement without requiring complex real-time configuration or user intervention.
Solution Approach 2:
The system implements self-service by automatically deriving the appropriate measurement parameters based on the inspection object type and abnormality characteristics. The derivation unit autonomously calculates the required measurement time and data block size without user intervention, maintaining ease of operation while achieving high adaptability to different inspection scenarios.
Data Source
AI summary
A measurement terminal includes: a storage that stores, for each of one or more inspection objects, setting information including a parameter related to a feature of an inspection and an abnormality; a processor; and a memory having instructions that, when executed by the processor, cause the processor to perform operations. The operations include: acquiring audio data of sound from an inspection object; deriving, based on the setting information of a corresponding one of the one or more inspection objects, a required time for acquiring the audio data of sound from the inspection object to be used for determining a presence or absence of the abnormality in the inspection object; and determining the presence or absence of the abnormality in the inspection object based on the audio data of sound from the inspection object for the derived required time.