Measurement of indoor air temperature distribution using acoustic travel-time tomography: Optimization of transducers location and sound-ray coverage of the room

Temperature Distribution Reconstruction Method for Acoustic Tomography Based on Compressed Sensing

“…Temperature measurement techniques can be classified as contact measurement (where the sensor such as a thermocouple is installed in the medium of interest) and non-contact measurement (where the monitoring system observes the medium of interest remotely). 1 Acoustic tomography (AT) [2][3][4] is one of a few non-contact measurement techniques that can present information about the temperature distribution. Due to its advantages, such as non-intrusive sensing, wide measuring range, low cost, convenient maintenance, and strong environment adaptability, AT is considered to be a promising temperature distribution measurement technology.…”

“…The typical application of this technique is as an acoustic pyrometer, which can be used to measure temperature distributions in boilers, furnaces, and flue combustion chambers. [6][7][8][9] The technique has also been studied for other temperature field monitoring applications, such as measuring the temperature field in the air, 2,3 the temperature field in injection molding, 10,11 the temperature field around seafloor hydrothermal vent, 12 and the temperature field in stored grain. 13 The monitoring of temperature distribution in a furnace is very important for improving combustion efficiency, saving energy, and reducing pollution.…”

“…Then, the inverse problem is solved by the SIRT to obtain the temperature distribution in a room. 3 Different from the above research, in which the forward problem model is established by assuming the uniformity of the temperature distribution in each grid cell, some scholars established the forward problem model of AT by adopting a linear combination of a radial basis function (RBF) to approximate the temperature distribution. Yan et al 1,13 used Markov RBF, and solved the inverse problem by singular value decomposition (SVD) with Tikhonov regularization.…”

Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning

“…Therefore, in order to achieve optimal combustion, as well as safe and efficient operation of the boiler, it is necessary to conduct real-time and accurate monitoring of the temperature distribution inside the boiler [ 1 , 2 , 3 , 4 , 5 ]. The change of atmosphere and ocean has an important impact on the climate and human survival activities, and these changes are also reflected in the change of temperature distribution to a certain extent [ 6 , 7 , 8 , 9 ]. Therefore, the monitoring of temperature distribution in the atmosphere and ocean is not only of great practical significance, but also has broad prospects for development.…”

“…Dokhanchi et al proposed a method to optimize the layout of acoustic transceivers. By optimizing the coverage of sound paths and maximizing differentiation of TOF value, AT temperature field reconstruction is more suitable for indoor use [ 6 ]. In order to reduce the online reconstruction time, Bao et al proposed two reconstruction algorithms.…”