Dynamic Impedance Imaging for Abnormal Particle Detection
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Solution Overview
Problem
Existing Electrical Impedance Tomography (EIT) systems lack the ability to effectively image abnormal particles in fluids and require increased sampling rates while maintaining a high signal-to-noise ratio (SNR) for biomedical and multiphase flow applications.
Innovation Solution
A dynamic impedance imaging system comprising a dynamic impedance imaging sensor, an impedance detection and flow rate measurement module, and an EIT instrument, which uses sinusoidal excitation current and multi-channel interleaved sampling to detect and image abnormal particles, enhancing bandwidth and SNR through hardware trigger signals and calibration of sampled data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the sampling rate is increased to improve imaging capability of abnormal particles, then the bandwidth is improved, but the signal-to-noise ratio deteriorates
Solution Approach 1:
The patent uses periodic sinusoidal excitation current to stimulate the abnormal particles in the fluid. By applying periodic excitation at optimized frequencies, the system achieves high sampling rates while maintaining signal-to-noise ratio through resonant enhancement of the measurement signal, thus resolving the contradiction between sampling rate and signal quality
Solution Approach 2:
The system dynamically adjusts excitation frequency and amplitude parameters based on the detected flow rate of abnormal particles. By optimizing these parameters according to particle velocity, the system maintains high bandwidth for fast-moving particles while preserving signal-to-noise ratio through adaptive parameter tuning
2Device complexity
If existing EIT equipment is used, then the system structure is simple, but the ability to image abnormal particles in fluid is insufficient
Solution Approach 1:
The system is divided into functionally independent modules: abnormal particle detection module, flow rate measurement module, and EIT imaging module. Each module performs a specific function, allowing the system to achieve sophisticated imaging capability while maintaining manageable structural complexity through modular design
Solution Approach 2:
An intermediary flow rate measurement module is introduced between the particle detection and EIT imaging processes. This intermediary measures particle velocity and uses it to optimize the EIT sampling parameters, enabling accurate imaging of moving particles without requiring overly complex direct tracking mechanisms
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 effective imaging of abnormal particles in fluids by determining flow rates and generating synchronous trigger signals for EIT instruments, improving the capture of abnormal particles in fluids and meeting the requirements for bandwidth and SNR in biomedical and multiphase flow applications.
Implementation Method 1
dynamic impedance imaging sensor is configured to determine whether there is an abnormal particle flowing through a tube
Implementation Method 2
inject a sinusoidal excitation current into the dynamic impedance imaging sensor
Data Source
AI summary
A dynamic impedance imaging system includes a dynamic impedance imaging sensor, an impedance detection and flow rate measurement module and an electrical impedance tomography (EIT) instrument. The impedance detection and flow rate measurement module is configured to detect an abnormal particle flowing through the dynamic impedance imaging sensor to obtain a flow rate of the abnormal particle, and generate a synchronous trigger signal. The EIT instrument is configured to inject a sinusoidal excitation current into the dynamic impedance imaging sensor under the trigger of the synchronous trigger signal, perform multi-channel interleaved sampling for the abnormal particle according to the flow rate to acquire multi-channel sampled data, and calibrate the multi-channel sampled data to implement impedance tomography imaging for the abnormal particle.