Technology and Design of Intelligent Casting and The Drying Line for Sanitary Ceramics

Firstly, the social production demand of sanitary ceramic intelligent manufacturing mold drying line is described. Secondly, the technological process of intelligent manufacturing mould drying for sanitary ceramics was analyzed, and the overall design scheme and implementation method of intelligent manufacturing mould drying line were put forward. Again the key equipment of intelligent manufacturing die drying line is analyzed and explained again, its structural characteristics, functions and characteristics are introduced, and its working principle is explained in detail. Finally, the feasibility and superiority of intelligent mould drying for sanitary ceramics were proved

Enhancement algorithm of low illumination image for UAV images inspired by biological vision

To address the issue of low brightness, high noise and obscure details of UAV aerial low-light images, this paper proposes an UAV aerial low-light image enhancement algorithm based on dual-path inspired by the dual-path model in human vision system. Firstly, a U-Net network based on residual element is constructed to decompose UAV aerial low-light image into structural path and detail path. Then, an improved generative adversarial network (GAN) is proposed to enhance the structural path, and edge enhancement module is added to enhance the edge information of the image. Secondly, the noise suppression strategy is adopted in detail path to reduce the influence of noise on image. Finally, the output of the two paths is fused to obtain the enhanced image. The experimental results show that the proposed algorithm visually improves the brightness and detail information of the image, and the objective evaluation index is better than the other comparison algorithms. In addition, this paper also verifies the influence of the proposed algorithm on the target detection algorithm under low illumination conditions, and the experimental results show that the proposed algorithm can effectively improve the performance of the target detection algorithm

An Adaptive Time-frequency Filtering Algorithm for Multi-component LFM Signals based on Generalized S-transform

Recent studies show that Cohen class bilinear time-frequency distribution methods do not have satisfactory denoising performance when analyzing multicomponent LFM signals. This paper has constructed a new adaptive time-frequency iltering factor and has proposed an adaptive time-frequency filtering algorithm based on generalized S-transform. Firstly, the time-frequency distribution is obtained by transforming the time domain signals to time-frequency domain by usinggeneralized Stransform, which is followed by calculating instantaneous frequency based on the phase information from the timefrequency distribution. Secondly, the time-frequency distribution regions occupied by clustered energy of effective signal are identified through time-frequency region extraction method and all time-frequency distribution spectrum out of the regions are removed. Thirdly, a novel TF filtering factor is constructed by the time-frequency concentration characteristic to restrain the random noise components in the regions of effective signal. Finally, the filtered signals are retrieved by using inverse generalized Stransform. Simulation results demonstrate that the proposed filtering algorithm has satisfactory performances for signal denoising which most features of original signal can be remained

Experimental Study on Low Carbonization of Green Building Based on New Membrane Structure Solar Sustainable Heat Collection

In recent years, energy consumption has continuously been increasing, and the energy consumption proportion in buildings has risen yearly. In order to promote the carbon-neutral goal of carbon peaking, the building sector realizes green and low-carbon transformation. This paper proposes a new type of solar flat plate collector with an additional transparent cover made by the ETFE film, which is tested for thermal performance under different environmental and operational parameters. The Ansys Fluent software was used to build a three-dimensional steady-state model of the collector, which can simulate the collector components’ temperature and the mass outlet temperature under the test conditions. The collector’s instantaneous heat collection efficiency curve fitted by comparing and analyzing the theoretical, experimental, and simulated data. The instantaneous efficiency intercept was 0.72, and the heat loss coefficient was 3.94 W/(m2·K). The results show that the collector efficiency of the ETFE film structure collector is 18.6% higher, and the heat loss coefficient is 27.3% lower than that of an ordinary collector under standard mass flow conditions