Surface heat flow identification three-dimensional effect correction method based on neural network

• Main Authors: ZHAO WENWEN, SHEN XUAN, CHEN WEIFANG, PAN XUEHAO
• Format: Patent
• Language: Chinese; English
• Published: 02.08.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a surface heat flow identification three-dimensional effect correction method based on a neural network. The correction method comprises the following steps: mounting a plurality of temperature sensors on the inner wall surface of an area around a stationary point heat flow; utilizing temperature data of each internal temperature measuring point; obtaining a heat flow on acorresponding heating surface point through a one-dimensional heat flow identification method; and then introducing an artificial neural network algorithm, carrying out normalization processing on theidentified heat flow corresponding to each measuring point in the previous step to serve as an input sequence of the neural network, and carrying out training in the neural network to obtain an output anti-normalization result to serve as a heat flow identification value of a region of interest. According to the correction method provided by the invention, the time complexity of three-dimensionalidentification is avoided,