Local temperature change anomaly detection method based on deep learning of microwave heating temperature field distribution characteristics
A technology of abnormality detection and microwave heating, applied in neural learning methods, computer components, instruments, etc., can solve problems such as local overheating and thermal runaway
Active Publication Date: 2020-05-01
CHONGQING UNIV
View PDF5 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The purpose of the present invention is to solve the problem of local overheating (thermal runaway) in the microwave heating process
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0031] The present invention will be further described below in conjunction with embodiments, but it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical idea of the present invention, various substitutions and changes based on common technical knowledge and conventional means in the field shall be included in the protection scope of the present invention.
[0032] An anomaly detection method based on multi-dimensional big data information of the temperature field distribution in the microwave heating process based on deep learning,
[0033] Build a background analysis system and detection device;
[0034] The background analysis system performs data sample C during the original microwave heating process a When analyzing, obtain the temperature abnormality detection model of the microwave heating device through steps 1 to 4:
[0035] It includes the f...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a local temperature change anomaly detection method based on deep learning of microwave heating temperature field distribution characteristics, using a method of combining convolutional neural network and automatic coding to learn multi-dimensional big data of temperature field distribution in microwave heating process, and find out The in-depth logical relationship between the data, by learning the structure of the data itself, so as to obtain features that are more expressive than the input, and then use the Isolation Forest (isolation forest) algorithm for anomaly detection. The invention can reliably detect that during the microwave heating process, due to the coupling of the complex time-varying electromagnetic field and the temperature field, the dielectric coefficient and thermal conductivity of the heated medium will change with the increase of temperature, resulting in local overheating of the medium or even thermal runaway The phenomenon. And then deal with it in time to avoid the occurrence of safety accidents.
Description
Technical field [0001] The invention relates to microwave heating control technology. Background technique [0002] Microwave heating essentially utilizes the energy characteristics of microwaves. Microwave energy directly penetrates the medium. After the molecules in the medium absorb the microwave energy, the thermal motion of the molecules is aggravated, and the temperature rises to achieve the purpose of heating. Compared with other traditional heating methods, it has the advantages of high efficiency, no pollution, fast heating speed, and low heat loss. As a new clean heating method, microwave heating undoubtedly has great application value. [0003] However, in the microwave heating process, the coupling of complex time-varying electromagnetic field and temperature field is involved. The dielectric coefficient and thermal conductivity of the heated medium will change with the increase of temperature. The change of these uncertain factors may lead to The phenomenon of local...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/084G06F18/2411
Inventor 王楷熊庆宇马龙昆孙国坦赵友金余星姚政
Owner CHONGQING UNIV