Microwave heating temperature field distribution characteristic deep learning-based local temperature variation anomaly detection method

Abstract

The invention discloses a microwave heating temperature field distribution characteristic deep learning-based local temperature variation anomaly detection method. According to the method, a convolutional neural network and automatic coding-combined method is used to learn the multi-dimensional big data of the temperature field distribution of a microwave heating process, deep logical relationships between the data are found out, the structure of the data is learned, and therefore, characteristics having expression ability stronger than that of input can be obtained; and the Isolation Forest algorithm is adopted to perform anomaly detection. With the microwave heating temperature field distribution characteristic deep learning-based local temperature variation anomaly detection method of the invention, the local overheating or even thermal runaway of a heating medium in the microwave heating process due to the change of the dielectric coefficient and thermal conductivity of the heating medium with temperature rise due to the coupling of a complex time-varying electromagnetic field and a temperature field can be detected reliably, and therefore, timey processing can be performed, and security accidents can be avoided.

Description

technical field [0001] The invention relates to microwave heating control technology. Background technique [0002] Microwave heating, in essence, utilizes the energy characteristics of microwaves. Microwave energy directly penetrates the medium, and the molecules inside the medium absorb the microwave energy to intensify the thermal movement of the molecules, so that 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 small heat loss. As a new clean heating method, microwave heating undoubtedly has great application value. [0003] However, in the process of microwave heating, it will involve the coupling of complex time-varying electromagnetic field and temperature field. 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 ...

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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

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