Fermentation Heap Internal Temperature Prediction via Infrared Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Infrared thermal imagers can only detect surface temperatures of fermentation heaps, leading to deviations when measuring internal temperatures, and existing correction algorithms are inadequate for accurate internal temperature prediction.
Innovation Solution
A method and device that match temperature distribution images with distance data to extract 3D contour temperature maps, correct surface temperatures, and predict internal temperatures using relational models that account for heat transfer and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If infrared thermal imager is used to measure temperature without contacting the heaps, then measurement non-contact capability is improved, but measurement precision deteriorates due to only detecting surface temperature
Solution Approach 1:
The patent replaces contact-based mechanical temperature measurement with infrared thermal imaging technology. The infrared thermal imager captures surface temperature distribution without physical contact, and through image processing and algorithmic correction, derives internal temperature information, thus eliminating the need for contact while achieving accurate internal temperature measurement.
Solution Approach 2:
The patent introduces an intermediary processing system that includes image processing modules, distance correction algorithms, and heat transfer models. These intermediaries bridge the gap between surface temperature measurement and internal temperature prediction, enabling accurate internal temperature estimation from surface data without direct contact.
2Device complexity
If infrared thermal imager measures surface temperature, then measurement simplicity is improved, but reliability deteriorates due to deviation from internal temperature
Solution Approach 1:
The patent implements feedback mechanisms through distance detection cameras that measure the distance between the infrared thermal imager and the heap surface. This distance information feeds back into the temperature correction algorithm, allowing real-time adjustment of measurement parameters and compensation for perspective effects, thereby improving reliability without significantly increasing system complexity.
Solution Approach 2:
The patent transitions from two-dimensional surface temperature measurement to three-dimensional internal temperature prediction by incorporating distance information and applying heat transfer models. This dimensional transformation enables the system to infer internal temperature distribution from surface data, maintaining simplicity while enhancing reliability.
3Measurement precision
If distance correction algorithms are applied to improve measurement accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-calibrating the relationship between distance and temperature measurement error. Distance correction parameters and heat transfer model coefficients are determined in advance through calibration experiments, allowing the system to apply simple correction formulas during actual measurement rather than performing complex real-time calculations, thus improving precision while controlling complexity.
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
Accurately predicts internal fermentation heap temperatures, improving control and operation efficiency by correcting for distance influences and heat balance principles.
Implementation Method 1
infrared thermal imaging camera...can only detect the surface temperature of a measured object
Implementation Method 2
there is a certain difference between the internal temperature and the surface temperature of the fermentation heap during fermentation
Implementation Method 3
The fermentation process of the heaps is a biological process reaction
Data Source
AI summary
A device for measuring the internal temperature of heap fermentation includes an infrared thermal imaging camera, a distance detection camera, and a controller. The infrared thermal imaging camera obtains a temperature distribution image of a surface of a fermentation heap. The distance detection camera obtains a distance between the surface of the fermentation heap and the distance detection camera. The controller matches the temperature distribution image of the surface of the fermentation heap with the distance between the surface of the fermentation heap and the distance detection camera, performs semantic segmentation on the image after matching is completed, extracts a three-dimensional (3D) contour temperature map of the surface of the fermentation heap, corrects a surface temperature of the fermentation heap, and predicts an estimated internal temperature of the fermentation heap, such that the internal temperature of the fermentation heap is effectively and accurately predicted.