Viscous Material Composition Detection Using Waveform Valley Analysis
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Solution Overview
Problem
Manual measurement of substance composition in viscous materials is costly, inefficient, and prone to errors, and cannot be adapted to various industrial application scenarios due to environmental restrictions.
Innovation Solution
An automatic detection method using a sensor detection circuit to generate a signal detection waveform, determine the detection state based on the number of valleys, and utilize a machine learning model to calculate the substance composition in viscous materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual measurement is used to detect substance composition in viscous material, then the detection process can be performed with simple equipment, but the measurement cost is high, measurement efficiency is poor, and measurement speed is low
Solution Approach 1:
The patent replaces manual mechanical measurement operations with an automatic detection system comprising a sensor detection circuit, signal processing unit, and automated analysis mechanism. The sensor detection circuit automatically detects substance composition in viscous material, eliminating manual intervention and significantly improving measurement efficiency and speed while maintaining equipment accessibility
Solution Approach 2:
The detection system performs self-measurement and self-analysis through automated signal acquisition, processing, and result calculation. The system automatically determines substance composition without requiring manual operation, achieving high measurement efficiency and speed while keeping the overall system relatively simple
2Device complexity
If manual measurement is used to detect substance composition in viscous material, then the equipment requirements are low, but the accuracy of measurement results is greatly affected by manually operating steps
Solution Approach 1:
The patent replaces manual measurement operations with an automated sensor detection circuit and signal processing system. This eliminates human error from the measurement process, ensuring consistent and reliable results while keeping equipment requirements moderate through the use of standard sensor components and automated analysis algorithms
3Device complexity
If manual measurement is used to detect substance composition in viscous material, then the initial investment cost is low, but the scalability and adaptability of measurement are poor
Solution Approach 1:
The detection system is designed with universal adaptability to detect various substance compositions in different viscous materials through configurable sensor parameters and flexible signal processing algorithms. The system can be adapted to different industrial application scenarios and material types without requiring complete redesign, achieving high scalability while maintaining cost-effectiveness
Solution Approach 2:
The system incorporates dynamic adaptability through adjustable detection parameters, configurable signal processing settings, and flexible measurement modes. This allows the system to adapt to different viscous materials and detection requirements, providing high scalability without proportionally increasing initial investment cost
4Ease of operation
If manual measurement is used to detect substance composition in viscous material, then the operational complexity is low, but the detection process cannot be carried out in restricted application environments
Solution Approach 1:
The patent replaces manual measurement operations with an automated detection system that can operate in restricted environments where manual access is difficult or impossible. The automated system performs detection tasks in challenging industrial application scenarios while maintaining ease of operation through centralized control and automated processes
Data Source
AI summary
An automatic detection method and an automatic detection device for detecting a substance composition in a viscous material are disclosed. The automatic detection method includes: detecting the viscous material in a preset detection period, obtaining a signal detection value corresponding to the viscous material, and generating a signal detection waveform; determining a detection state corresponding to the signal detection waveform according to the signal detection waveform, including a normal detection state and an abnormal detection state; and determining a content of the substance composition in the viscous material based on the signal detection waveform if the detection state is a normal detection state.


