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1829results about How to "Improve reducibility" patented technology

Biomass high-temperature flue gas gasification combination coal burning boiler and low-pollution combustion method thereof

The invention belongs to the technical field of a coal burning boiler and particularly relates to a biomass high-temperature flue gas gasification combination coal burning boiler and a low-pollution combustion method thereof. Flue gas serving as a gasification agent enters a gasification furnace; a biomass to be gasified in a biomass bin also enters the gasification furnace; gasified biomass fuel gas enters a fuel gas purification chamber to be subjected to primary purification to remove H2S, HCl and oil tar impurities; after a pressure head of the purified biomass fuel gas is improved by a booster fan, the purified biomass fuel gas enters a fuel gas storage tank and then enters a hearth of the coal burning boiler by a fuel gas nozzle to be burnt; the content of the biomass in the total glue gas is in the range of 0 to 30 percent and the whole system can still operate stably. The use of the biomass effectively reduces discharge of CO2 and SO2. The high-temperature flue gas is used as a heat source to gasify the biomass so as to reduce the content of the oil tar in the biomass fuel gas. The generated biomass fuel gas has high CO2 concentration. The reducing effect of the fuel gas on NOX is far superior to that of the biomass solid on NOX. The NOX concentration is effectively reduced.
Owner:ZHEJIANG GUANGHAN ENVIRONMENTAL PROTECTION TECH

Tunnel construction information monitoring system based on three-dimensional scanning point cloud

The invention relates to a tunnel construction information monitoring system based on three-dimensional scanning point cloud. The system comprises the following realization steps: acquiring coordinate information, intensity information, grey information, pixel information and the like of a tunnel full-section spatial structure by adopting a three-dimensional scanning point cloud measuring technology, performing automatic filtering processing and point cloud data automatic splicing and generating a tunnel two-dimensional plane model and a three-dimensional space model; realizing the continuous real-time transmission of monitoring data and data flow by adopting a '5S' parallel communication method; introducing a time, motion and rotation multi-dimensional coordinate axis, describing the change posture in a plane, the change posture of a vertical plane and the change posture along with time, performing data filtering and data analysis and realizing seamless butt joint between a monitoring and analysis structure and project construction information; based on an internet of things technology, by adopting a B/S framework and a three-layer system mode as well as seven-level security management, realizing the data monitoring as well as advanced forecasting and construction information real-time processing, update, inquiry, browsing, three-stage early warning and forecasting and three-level risk management.
Owner:武汉岩石科技有限公司

Method for preparing fucoidan

InactiveCN101993501AComprehensive utilization value has no impactComprehensive utilization value impactFood additiveLiquid ratio
The invention provides a method for preparing fucoidan, relating to the field of production and application of food additives. The method comprises the following steps of: adding distilled water according to a material to liquid ratio of 1:40-4:80 g / mL with brown algae, such as kelps, undaria pinnatifida, and the like as raw materials; treating by a colloid mill and then carrying out microwave-assisted extraction or ultrasonic wave-assisted extraction, wherein, in the microwave-assisted extraction process, the microwave time lasts 20-40min, the microwave extraction temperature is 60-80 DEG C, and the microwave power is 400-500W; and in the ultrasonic wave-assisted extraction process, the ultrasonic power is 800-100W, the microwave time lasts 20-40min, and the extraction temperature is 60-90 DEG C; and centrifuging an extracting solution, adding a proper amount of 2% CaCl2 solution into a supernatant, stirring, keeping constant temperature for 20-30h at 35-40 DEG C, centrifuging, adding 50-100% ethanol into the supernatant until the ethanol concentration of the solution is 15-20%, stirring, filtering, concentrating, adding 90-100% ethanol into a concentrated solution until the ethanol concentration of the solution is 55-60%, centrifuging again and drying a precipitate in vacuum to obtain white or yellow-white fucoidan powder.
Owner:ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Single-image blind motion blur removing method based on multi-scale residual generative adversarial network

The invention discloses a single-image blind motion blur removing method based on a multi-scale residual generative adversarial network. The method comprises the following steps: acquiring a GoPRo paired data set, and connecting the GoPRo paired data set to form an image pair in a fuzzy-clear form; randomly cutting the training image into an image patch with the size of 256 * 256; taking the standardized image as model training input data; designing a convolutional neural network, and outputting a deblurred image; calculating the peak signal-to-noise ratio and structural similarity of the output information of the model and the clear image of the corresponding label, and performing loss optimization; and deblurring a picture with a motion blur scene in reality by using the optimized modelparameters to obtain a corresponding clear picture. Based on the convolutional neural network, the conditional generative adversarial network is adopted as a backbone network, and the fine-grained residual module is adopted as a main body module, so that the breakthrough of converting an image deblurring problem into an image translation problem and solving the image deblurring problem is realized, and important technical support is provided for subsequent operation of image deblurring.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
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