36results about How to "Adaptive processing" patented technology

The invention discloses a method for advanced treatment of sewage and an artificial wetland structure to solve the technical problems of low denitrification and dephosphorization effect and high capital construction and operating cost of the traditional sewage treatment system. The treatment method comprises the following steps that: sewage is intercepted by a grate, is subjected to hydrolysis acidification, aeration oxygenation and sedimentation, enters the top of artificial wetland, flows through a sand and gravel filler treatment layer, a lime stone treatment layer, a volcanized rock treatment layer, an oyster shell treatment layer, an active carbon treatment layer and a gravel treatment layer, which are arranged in the artificial wetland, from top to bottom in turn, is collected by a bottom pipeline of the artificial wetland and enters a recycling water tank. The internal structure of the artificial wetland is that: a group of sewage inlet pipes are horizontally arranged at the upper end of a treatment tank and are arranged in a filler reinforced treatment layer in the treatment tank, the sand and gravel filler treatment layer is arranged below the filler reinforced treatment layer, and a sewage outlet pipe is arranged at the bottom of the treatment tank. The invention has the advantages that: the treatment effect is good, the sewage recycling standard is met and the operating cost is low.

The invention discloses a method for granulating sludge based on pure-oxygen aeration-treated urban sewage, and belongs to the technical field of sewage treatment. According to the method, an SBR reactor with a height-diameter ratio of 10-12.5 and a water discharge ratio of 50-70% is employed. Pure oxygen is subjected to aeration via the diffuser at the bottom of the reactor, wherein the aeration quantity is 0.85-1.54 m<3> / m<3>.h, the temperature in the reactor is 17-23 DEG C, pH value is 5.5-8.0 and the operation cycle of the reactor is 12 h. Four stages are designed for stepped culture, the culture time is short and sludge granulation is finished in 33-40 d. The granular sludge obtained by the method of the invention has a compact structure, the particle size of 3.0-5.0 mm and the particle setting speed of 20-35 m / h. The method of the invention is simple in culture technology and short in granulation period, helps to solve the disadvantages of long granulation period and small particles in air aeration, is applicable to high-density sewage treatment and has a wide application prospect.

The invention discloses a catalyst for low-temperature catalytic combustion of chlorine-containing organic matters. A transition metal oxide modified with sulfuric acid is used as a catalyst; the transition metal oxide is zirconium oxide, titanium oxide or ferric oxide; the sulfuric acid exists in the surface of the transition metal oxide in the form of bidentate sulfate; the mass fraction of sulfur element is 0.5-3wt%. The invention also discloses a preparation method for the catalyst and an application thereof in the low-temperature catalytic combustion of the chlorine-containing organic matters. The catalyst made from the transition metal oxide modified with sulfuric acid according to the invention has higher catalytic activity and can catalyze the combustion oxidation of the chlorine-containing organic matters, including chlorine-containing aliphatic hydrocarbon and chlorine-containing arene, under lower temperature; the main combustion products include carbon dioxide, hydrogen chloride and chlorine; no chlorinated product with secondary pollution is formed; the preparation is simple; the cost is low and the service life is long; the catalyst is suitable for treatment of complex industrial waste gas; the catalyst has an application prospect for industrial waste gas treatment.

The invention discloses a mass data real-time query method based on a dynamic index structure (DC-Tree). According to the method, dimensionality reduction is carried out on a mass multi-dimension data set, high space efficiency and low query time are supported, distributed redundant storage is supported, therefore, data distribution efficiency in a traditional distributed mechanism is improved and the method is suitable for mass data processing. The method includes the first step that a multi-dimension data record (DR) maps a function fz through a Z Curve in a Master Node to generate a dimensionality reduction result set S; the second step that the Master Node selects k hash functions to carry out mapping on the result set S through a Bloom Filter to generate a node set NN; the third step that the data record DR is updated, and dynamic establishment is carried out on each element in the node set NN; the fourth step that a user inquires an MDS result to obtain the node set NN through the first step and the second step, and a parallel query method is started; the fifth step that the user carries out aggregation on all access nodes in the node set NN to obtain the final query result Rset.

The invention relates to the technical field of seismic data processing, and discloses a denoising method based on multi-branch selective kernel nested connection residual network, which includes the following processing steps: nesting and connecting multi-layer residual modules to obtain residual nesting Network; add a multi-branch selective kernel, and use the residual nested network as the input of the multi-branch selective kernel. Each branch uses convolutions of different scales for feature extraction, calculation and output of the final image. The present invention adopts nested residual connection, which can reduce residual connection and improve calculation efficiency. The nested residual connection of the present invention is combined with the multi-branch selective kernel, and the feature map output by the nested connection residual network can be used as the input of the multi-branch selective kernel module, and convolution kernels of different sizes are used for multi-branch fusion. In order to obtain feature maps with rich content, it is suitable for complex data processing. The invention has high computing efficiency and denoising performance, and can be widely used in random noise processing of actual seismic data.

The invention discloses hydrophobic association type amphoteric polyacrylamide and its preparation method and an application. The hydrophobic association type amphoteric polyacrylamide is prepared through reaction of fluorine-containing monomer, cationic monomer, acrylamide, itaconic acid, deionized water and initiator, wherein the mass ratio of fluorine-containing monomer, cationic monomer, acrylamide, itaconic acid, deionized water and initiator is 1: (1-5): (1-5): (5-10): (20-30); the initiator is 0.5-3% of the total mass of monomer. The hydrophobic association type amphoteric polyacrylamide has stronger absorption ability and can better adapt to the sewage disposal or impurity removal of the industrial production field.

The invention relates to an exhaust gas catalytic incineration treatment system suitable for treating volatile organic tail gas and its adjustment and control method. The system includes a preheating device for heating exhaust gas, a first-stage catalytic oxidation reactor for catalytic oxidation reaction, and a One-stage heat recovery device for heat recovery and utilization of exhaust gas after one-stage catalytic oxygen reaction, two-stage catalytic oxidation reactor for catalytic oxidation reaction, two-stage heat recovery for heat recovery and utilization of exhaust gas after two-stage catalytic oxygen reaction A device, a selective catalytic reduction reactor for performing a selective catalytic reduction reaction on the exhaust gas after the second-stage catalytic oxidation reaction to eliminate nitrogen oxides, the method is adjusted by adjusting the relevant bypass flow and supplementary air volume. The invention is suitable for the treatment of waste gas containing volatile organic compounds and nitrogen oxides, such as the tail gas of an acrylonitrile absorption tower, and helps to reduce energy consumption, facilitate operation and reduce nitrogen oxide emissions.

The invention discloses a dual-check signal uplink and downlink wave field separating method based on non-Gaussian maximization and relates to the field of seismic signal processing in the seismic exploration technology. According to the method, uplink and downlink wave field separation of a dual-check signal can be achieved in a time-space domain by means of the super-Gaussian distribution characteristics of seismic signals; uplink and downlink wave field separation is achieved according to the non-Gaussian maximization norm by representing the non-Gaussian property of seismic signals with L1 norm; the defect that a traditional frequency-wave number domain method is based on the hypothesis that wave detectors are evenly distributed and the premise that a recording surface is a plane is overcome, and therefore the method is better adapted to actual data processing, and various requirements in actual application are met.