Photorealistic Numerical Model for Electromechanical Quantity Estimation
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Solution Overview
Problem
Current methods for estimating electromechanical quantities using digital images and model-based filtering techniques are limited by the need for expensive and intrusive sensors, which often fail to exploit the full range of information captured from field sensors, leading to inaccurate and incomplete data, particularly in dynamic and operational environments.
Innovation Solution
A method utilizing low-cost 2D images from video or photo cameras, combined with photorealistic numerical models and advanced filtering techniques like Kalman filters, to estimate both surface and internal electromechanical quantities, avoiding the need for expensive 3D imaging and minimizing computational burden through model order reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive and intrusive sensors are used to measure electromechanical quantities, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual copy of the physical electromechanical system through numerical modeling. Instead of using physical sensors on the actual system, the invention uses digital images to create a virtual representation that can be analyzed computationally to extract electromechanical quantities, thereby avoiding the need for intrusive physical sensors while maintaining measurement capability
Solution Approach 2:
The patent replaces the mechanical sensor-based measurement system with an optical-field-based system. Digital images capture the state of the system, and numerical models process these images to derive electromechanical quantities, substituting direct mechanical contact measurement with non-contact optical measurement and computational analysis
2Measurement precision
If discrete sensors are used to estimate electromechanical quantities, then measurement precision is improved, but the number of sensors required increases and they become more intrusive
Solution Approach 1:
The patent makes a single digital imaging system perform multiple measurement functions simultaneously. Instead of requiring separate discrete sensors for different electromechanical quantities, the numerical model processes the digital images to extract multiple types of information (displacements, strains, stresses, velocities, accelerations) from the same optical field data, making the measurement system universal and multi-functional
3Loss of information
If field sensors like digital video frames are used to collect high density spatial data, then information completeness is improved, but computational burden increases
Solution Approach 1:
The patent extracts only the essential information needed for electromechanical quantity estimation from the abundant data contained in digital images. Instead of processing all pixel data equally, the numerical model identifies and extracts the specific features and patterns relevant to the physical quantities of interest, filtering out redundant information and focusing computational resources on meaningful data
Solution Approach 2:
The patent performs preliminary processing of digital images through numerical modeling before full analysis. The model prepares the data by establishing the relationship between image features and physical quantities in advance, organizing the high-density spatial data into a structured format that facilitates efficient subsequent computation and reduces the overall computational burden
4Productivity
If current methods are used to extract information from digital images, then processing speed is improved, but measurement precision deteriorates because full field sensor information is not fully exploited
Solution Approach 1:
The patent merges digital image processing with numerical modeling in an integrated framework. Instead of treating image processing and measurement extraction as separate sequential steps, the invention combines them into a unified system where the numerical model directly processes image data to estimate electromechanical quantities, allowing simultaneous optimization of both processing speed and measurement precision
Data Source
AI summary
A method for estimating one or more of the following quantities from an electromechanical machine and/or component, the method comprising the creation of a photorealistic numerical model of the electromechanical machine or parts of it, a measurements step for combining outputs of physical sensors of which at least one is an imaging device for visualizing the external surface of the physical electromechanical machine in at least one 2-dimensional image, an estimation step combining the photorealistic numerical model and measurement step to provide an estimate of desired electromechanical quantities, wherein the estimation step is based at least on the usage of a similarity metric between the (at least one) two dimensional image of the electromechanical machine or parts of it and the images generated by the photorealistic numerical model.