Abstract: The present invention relates to the field of catalytic cracking, and discloses a catalyst with regular structure capable of simultaneously reducing the emission of SOx and NOx and a preparation method thereof, and a method for simultaneously reducing both SOx and NOx from flue gas, the catalyst comprises a support with regular structure and an active component coating distributed on the inner surface and/or the outer surface of the support with regular structure, the active metal component contains: 1) as oxide, 50-95 wt % of metal component(s) selected from Group rare earth and/or Group IIA; 2) as oxide, 5-50 wt % of non-precious metal component(s) selected from Groups VB, VIIB, VIII, IB, and IIB; 3) as element, 0.01-2 wt % of precious metal component. Using the catalyst provided by the invention can reduce the total amount of added active components and enhance the emission reduction effect of the additive.

Abstract: A catalyst for simultaneously reducing both SOx and NOx in flue gas and a preparation method and use thereof are provided. They catalyst contains a support or inorganic oxide matrix, a rare earth metal, a non-precious metal selected from Group VIII, or non-precious metal(s) selected from Groups VB, VIII, IB, and IIB, a precious metal, an optional Group VIIB non-precious metal, and an optional Group IIA metal. Contacting the flue gas with the catalyst simultaneously reduces both SOx and NOx in the flue gas.

Abstract: A method for determining camera attitude includes: in response to a first input image satisfying a first condition, adjusting a camera from a first attitude to a second attitude, the first input image being an image obtained by the camera in the first attitude; obtaining a second input image, the second input image being an image obtained by the camera in the second attitude; determining second attitude data corresponding to the second attitude based on the second input image; and determining first attitude data corresponding to the first attitude according to a transformation relationship between the first attitude and the second attitude, and the second attitude data.

Abstract: The invention discloses an intelligent mobile patrol method, which comprises the following steps: an intelligent mobile device bound with NFC is used to identify the patrol task process; a patrol display point calls and displays the progress of the patrol task and the items inspected; according to the patrol items of the patrol display point, a mobile terminal is used to collect on-site photos, recordings, videos and other information to accumulate on-site visual data; the visual data obtained are uploaded for intelligent processing and analysis, and the historical patrol records are queried in real time to analyze the maintenance rate, missing inspection rate and equipment availability rate; and the patrol records of WIFI or network real-time record points are used to automatically import equipment exceptions into the missing library.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4% to about 11% by weight on the basis of the oxide, a phosphorus content of about 0.05% to about 10% by weight on the basis of P2O5, a sodium content of no more than about 0.5% by weight on the basis of sodium oxide, a gallium content of about 0.1% to about 2.5% by weight on the basis of gallium oxide, and a zirconium content of about 0.1% to about 2.5% by weight on the basis of zirconia; and the modified Y-type molecular sieve has a total pore volume of about 0.36 mL/g to about 0.48 mL/g, a percentage of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 20% to about 40%.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4-11% by weight on the basis of rare earth oxide, a sodium content of no more than about 0.5 wt % by weight on the basis of sodium oxide, a zinc content of about 0.5-5% by weight on the basis of zinc oxide, a phosphorus content of about 0.05-10% by weight on the basis of phosphorus pentoxide, a framework silica-alumina ratio of about 7-14 calculated on the basis of SiO2/Al2O3 molar ratio, a percentage of non-framework aluminum content to the total aluminum content of no more than about 10%, and a percentage of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 20-40%. The modified Y-type molecular sieve has a high crystallinity and a high thermal and hydrothermal stability, and is rich in secondary pores.

Abstract: A modified Y-type molecular sieve has a modifying metal content of about 0.5-6.3 wt % calculated on the basis of an oxide of the modifying metal and a sodium content of no more than about 0.5 wt % calculated on the basis of sodium oxide. The modifying metal is magnesium and/or calcium. The modified Y-type molecular sieve has a proportion of non-framework aluminum content to the total aluminum content of no more than about 20%, a total pore volume of about 0.33-0.39 ml/g, a proportion of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 10-25%, a lattice constant of about 2.440-2.455 nm, a lattice collapse temperature of not lower than about 1040° C., and a ratio of B acid to L acid in the total acid content of no less than about 2.30.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4% to about 11% by weight on the basis of the oxide, a phosphorus content of about 0.05% to about 10% by weight on the basis of P2O5, a sodium content of no more than about 0.5% by weight on the basis of sodium oxide, and an active element content of about 0.1% to about 5% by weight on the basis of the oxide, with the active element being gallium and/or boron. The modified Y-type molecular sieve has a total pore volume of about 0.36 mL/g to about 0.48 mL/g, a percentage of the pore volume of secondary pores having a pore size of 2-100 nm of about 20% to about 40%; a lattice constant of about 2.440 nm to about 2.455 nm, and a lattice collapse temperature of not lower than about 1060° C.

Abstract: A modified Y-type molecular sieve having a calcium content of about 0.3-4 wt % calculated on the basis of calcium oxide, a rare earth content of about 2-7 wt % calculated on the basis of rare earth oxide, and a sodium content of no more than about 0.5 wt % calculated on the basis of sodium oxide. The modified Y-type molecular sieve has a total pore volume of about 0.33-0.39 ml/g, a proportion of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 10-25%, a lattice constant of about 2.440-2.455 nm, a proportion of non-framework aluminum content to the total aluminum content of no more than about 20%, a lattice collapse temperature of not lower than about 1050° C., and a ratio of B acid to L acid in the total acid content of no less than about 2.30.

Abstract: P feature encoding values are obtained for each of the Q frames in a video clip by image transformations of each frame along with performing computations of a specific succession of convolution and pooling layers of a CNN based deep learning model followed with operations of a nested invariance pooling layer. Each feature encoding value is then converted from real number to a corresponding integer value within a range designated for color display intensity according to a quantization scheme. A 2-D graphical symbol that contains N×N pixels is formed by placing respective color display intensities into the N×N pixels according to a data arrangement pattern for representing all frames of the video clip in form of P×Q feature encoding values, such that the 2-D graphical symbol possesses a semantic meaning of the video clip that can be recognized via image classification task using another trained CNN based deep learning model.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4-11% by weight on the basis of rare earth oxide, a sodium content of no more than about 0.7% by weight on the basis of sodium oxide, a zinc content of about 0.5-5% by weight on the basis of zinc oxide, a phosphorus content of about 0.05-10% by weight on the basis of phosphorus pentoxide, a framework silica-alumina ratio of about 7-14 calculated on the basis of SiO2/Al2O3 molar ratio, a percentage of non-framework aluminum content to the total aluminum content of no more than about 20%, and a percentage of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 15-30%. The modified Y-type molecular sieve has a high crystallinity, a structure comprising secondary pores, and a high thermal and hydrothermal stability.

Abstract: A modified Y-type molecular sieve having a calcium content of about 0.3-4 wt % calculated on the basis of calcium oxide, a rare earth content of about 2-7 wt % calculated on the basis of rare earth oxide, and a sodium content of no more than about 0.5 wt % calculated on the basis of sodium oxide. The modified Y-type molecular sieve has a total pore volume of about 0.33-0.39 ml/g, a proportion of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 10-25%, a lattice constant of about 2.440-2.455 nm, a proportion of non-framework aluminum content to the total aluminum content of no more than about 20%, a lattice collapse temperature of not lower than about 1050° C., and a ratio of B acid to L acid in the total acid content of no less than about 2.30.

Abstract: A modified Y-type molecular sieve has a modifying metal content of about 0.5-6.3 wt % calculated on the basis of an oxide of the modifying metal and a sodium content of no more than about 0.5 wt % calculated on the basis of sodium oxide. The modifying metal is magnesium and/or calcium. The modified Y-type molecular sieve has a proportion of non-framework aluminum content to the total aluminum content of no more than about 20%, a total pore volume of about 0.33-0.39 ml/g, a proportion of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 10-25%, a lattice constant of about 2.440-2.455 nm, a lattice collapse temperature of not lower than about 1040° C., and a ratio of B acid to L acid in the total acid content of no less than about 2.30.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4% to about 11% by weight on the basis of the oxide, a phosphorus content of about 0.05% to about 10% by weight on the basis of P2O5, a sodium content of no more than about 0.5% by weight on the basis of sodium oxide, and an active element content of about 0.1% to about 5% by weight on the basis of the oxide, with the active element being gallium and/or boron. The modified Y-type molecular sieve has a total pore volume of about 0.36 mL/g to about 0.48 mL/g, a percentage of the pore volume of secondary pores having a pore size of 2-100 nm of about 20% to about 40%; a lattice constant of about 2.440 nm to about 2.455 nm, and a lattice collapse temperature of not lower than about 1060° C.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4% to about 11% by weight on the basis of the oxide, a phosphorus content of about 0.05% to about 10% by weight on the basis of P2O5, a sodium content of no more than about 0.5% by weight on the basis of sodium oxide, a gallium content of about 0.1% to about 2.5% by weight on the basis of gallium oxide, and a zirconium content of about 0.1% to about 2.5% by weight on the basis of zirconia; and the modified Y-type molecular sieve has a total pore volume of about 0.36 mL/g to about 0.48 mL/g, a percentage of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 20% to about 40%.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4-11% by weight on the basis of rare earth oxide, a sodium content of no more than about 0.5 wt % by weight on the basis of sodium oxide, a zinc content of about 0.5-5% by weight on the basis of zinc oxide, a phosphorus content of about 0.05-10% by weight on the basis of phosphorus pentoxide, a framework silica-alumina ratio of about 7-14 calculated on the basis of SiO2/Al2O3 molar ratio, a percentage of non-framework aluminum content to the total aluminum content of no more than about 10%, and a percentage of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 20-40%. The modified Y-type molecular sieve has a high crystallinity and a high thermal and hydrothermal stability, and is rich in secondary pores.

Abstract: A modified Y-type molecular sieve has a rare earth content of about 4-11% by weight on the basis of rare earth oxide, a sodium content of no more than about 0.7% by weight on the basis of sodium oxide, a zinc content of about 0.5-5% by weight on the basis of zinc oxide, a phosphorus content of about 0.05-10% by weight on the basis of phosphorus pentoxide, a framework silica-alumina ratio of about 7-14 calculated on the basis of SiO2/Al2O3 molar ratio, a percentage of non-framework aluminum content to the total aluminum content of no more than about 20%, and a percentage of the pore volume of secondary pores having a pore size of 2-100 nm to the total pore volume of about 15-30%. The modified Y-type molecular sieve has a high crystallinity, a structure comprising secondary pores, and a high thermal and hydrothermal stability.

Abstract: P feature encoding values are obtained for each of the Q frames in a video clip by image transformations of each frame along with performing computations of a specific succession of convolution and pooling layers of a CNN based deep learning model followed with operations of a nested invariance pooling layer. Each feature encoding value is then converted from real number to a corresponding integer value within a range designated for color display intensity according to a quantization scheme. A 2-D graphical symbol that contains N×N pixels is formed by placing respective color display intensities into the N×N pixels according to a data arrangement pattern for representing all frames of the video clip in form of P×Q feature encoding values, such that the 2-D graphical symbol possesses a semantic meaning of the video clip that can be recognized via image classification task using another trained CNN based deep learning model.