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 relates to a method for rapidly culturing aerobic particle sludge through load modulation technology and belongs to the technical field of wastewater biotreatment. To solve the problems that the prior aerobic particle sludge culture technology is not perfect or accurate and has long time and the like, the invention provides a simple and stable method for culturing the aerobic particle sludge; the method comprises the following steps: common active sludge is taken out and is filled into a sequencing batch type bioreactor for idle aeration; after the settling property of the sludge is improved, the operating load of the sludge in the reactor is modulated; a floccule / particle mixture with better settling property appears at certain COD concentration; at the moment, load is rapidly declined so as to remove the floccule sludge in the reactor; and subsequently, the COD concentration of inlet water is modulated to change feed organic load or sludge load and promote the growth and stability of the aerobic particle sludge. According to the method, the aerobic particle sludge with good settling property, stable property and high activity can be obtained.

The invention discloses a quick sparse Radon transformation method based on iterative shrinkage. The quick sparse Radon transformation method comprises the following steps: firstly, setting an initial variable value; secondly, constructing a transformation operator L and calculating generalized inverse (LTL)-1LT of the transformation operator L; thirdly, treating a seismic channel set d to be treated by utilizing the generalized inverse (LTL)-1LT of the transformation operator L; and lastly, judging if all channel sets in a seismic data cube are treated, if not, continuing to treat the seismic channel set d to be treated by utilizing the generalized inverse (LTL)-1LT of the transformation operator L, and if so, ending. According to the quick sparse Radon transformation method, for one seismic data cube collected by adopting the same collection parameters, the generalized inverse of the transformation operator L only needs to be calculated once, then the transformation operator L and the generalized inverse (LTL)-1LT of the transformation operator L are applied to all seismic channel sets, thereby greatly reducing calculated amount; and the iterative shrinkage algorithm only includes product operation of simple matrixes and vectors and threshold operation, greatly reduces the calculated amount relative to the conventional sparse Radon transformation, and better adapts to treatment of practical seismic data.

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 key technology in the data processing of the oil and earthquake exploration which provides the earthquake data of the subtly geological structure description. The technology includes: (1) the cannon path collecting wave field extrapolated figure in the mix field; (2) the master-slave dynamic load balance parallel algorithm of the cannon path collecting wave field extrapolation; (3) the breakpoint recovery method of the parallel algorithm. The invention has improved the figure precision of the wave equation pre-fold depth excursion to proper for the land data processing; the parallel algorithm can use the free source and increase the work computing efficient. The breakpoint recovery method can not waste the pre-processing work, so it can shorten the processing period.

The invention belongs to the technical field of Raman scattering, and discloses an asymmetric weighted least squares based Raman spectrum detection baseline correction method. The method includes, fora Raman spectrum to be fitted to a baseline, setting smoothing parameters and an iteration termination condition, initializing weight into unit matrixes during first iteration, and obtaining an initial fitting baseline through minimizing penalized least squares; and performing updating on the weight through a softsign function according to the difference signal between an original spectrum and the fitting baseline, the process being repeated continuously until a termination condition is met. The original Raman spectrum subtracts the final fitting baseline, so that baseline correction of the Raman spectrum can be realized. Correction can be performed on the original Raman spectrum by utilizing the method, so that spectrums after baseline correction can be closer to real Raman signals, theaccuracy of Raman spectrum detection can be enhanced, and the method has important practical significance for the quantitative analysis and applications of the Raman spectrum.

The invention discloses hydrophobic association type cationic polyacrylamide, which is prepared through a reaction system comprising a cationic monomer, a fluorine containing monomer, acrylamide, deionized water and an initiator, wherein the mass ratio of the fluorine containing monomer, the cationic monomer, the acrylamide to the deionized water is 1:(1-5):(5-10):(20-30), the initiator accounting for 0.5-3% of total mass of the monomers. The hydrophobic association type cationic polyacrylamide has stronger adsorption capability and can be used for wastewater treatment or removal of impurities in the field of industrial production better.

The invention discloses a laboratory comprehensive waste water centralization treatment apparatus capable of comprehensively treating comprehensive waste water containing organic components, inorganic components and biochemistry components. The apparatus comprises a central processor and a waste water centralization treatment unit. The waste water centralization treatment unit comprises a comprehensive waste water collection and pre-precipitation device, a novel catalytic activity micro electrolysis treatment device, a comprehensive waste water centralization reaction precipitation treatment device, a filtration precipitate separation device, a high-low electric potential difference micro electrolysis system, an electrochemical catalytic oxidation reduction treatment system, a two-level organic biological membrane purification system, an ozone sterilizer, a MBR membrane bioreactor, and a terminal acid alkali neutralization unit, wherein all the devices are sequentially communicated. Waste water is sequentially treated by the devices so as to achieve a comprehensive waste water treatment effect. According to the present invention, according to components of different experimental waste water, different treatment technologies and control systems are adopted to carry out a waste water treatment, characteristics of small occupation area, high automation degree, good treatment effect and the like are provided, and the apparatus is widely used for treatments of comprehensive waste water containing organic components, inorganic components and biochemistry components in colleges and universities, research institutes, hospitals, biological pharmacy, disease control, enterprises, and other fields.

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 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.

The invention relates to a network image communication, specially an image-compressing and encryption blending method which can reduce operating amount of image encrypting and deciphering. It adopts triple-DES algorithm to encrypt and decipher the digits corresponding to the smooth part instead of the whole image through quantization coding and entropy coding. Its main steps: wavelet transformation, entropy coding, encrypting digit block through quantization coding and entropy coding, deciphering, reverse entropy coding, reverse quantizing, and wavelet reverse transforming. On the condition of not affecting image compressing effect, it achieves the higher-strength encrypting effect and remarkably reduces the operating amount of encrypting and deciphering.

The invention discloses a vertical sewage treatment tank, which comprises a tank body and a UV lamp chamber. The top of the tank body is provided with a water inlet pipe and an air outlet, and the bottom of the outside of the tank body is provided with a diversion pipe. The other end of the diversion pipe is connected to the UV lamp. The room is connected, and the UV lamp room is equipped with a water outlet pipe. The tank is equipped with a cylindrical grille layer and a packing layer covering the inner wall. The upper end of the packing layer is provided with a ring-shaped track. The orbital rotating device on the top of the tank body cooperates, and the outer surface of the grille layer is equipped with stirring blades, and the orbital rotating device drives the grille layer to rotate around the circumference to achieve the effect of stirring sewage. The air ring, the aeration ring communicates with the blower installed on the outer wall of the tank through the air inlet pipe installed on the bottom surface of the tank, and the external air is sent into the aeration ring through the blower for aeration operation; the device has a compact structure, The floor area is small, and the sewage can be treated efficiently by using a large area of ​​biofilm and grille.

The invention discloses a sewage treatment system, which integrates hydraulic vortex flow velocity adjustment and control, bubble jet / intensified aeration and a solid / liquid vortex separation technique together to remove a variety of pollutants in sewage. Sewage gets into a vortex capable of adjusting and controlling vortex flow velocity in the system disclosed by the invention and downwardly moves in the form of a vortex and along the axial direction of a vortex pipe; the air gets into the vortex pipe via a microporous tube of an air injector, so that micro-bubbles are formed to be mixed with the sewage, and thereby an aerating effect is achieved; under the action of centrifugal force and buoyancy force, the bubbles is discharged from the central tube of a flow velocity adjustment valve, and thereby volatile pollutants and peculiar smell-producing pollutants in the sewage are removed. Meanwhile, low-density suspending pollutants are gathered in the cavity of the sewage vortex, and are removed by a siphon system; high-density suspending pollutants pass through a solid / liquid vortex separator and are discharged via a solid discharge valve, and the treated water is discharged via a drain pipe. The sewage treatment system disclosed by the invention is suitable for the pretreatment of a variety of sewages or the first stage, and has the characteristics of small size, small occupied floor, high pollutant removal efficiency, high adaptability and the like.

The invention relates to an exhaust gas catalytic incineration treatment system and an adjusting and controlling method thereof suitable for the treatment of volatile organic exhaust gas. The system comprises a pre-heating device for heating the exhaust gas, a first-stage catalytic oxidation reactor for catalyzing oxidation reaction, a first-stage heat recovery device for the heat recovery of theexhaust gas after the first-stage catalytic oxygen reaction, a second-stage catalytic oxidation reactor for the catalytic oxidation reaction, a second-stage heat recovery device for the exhaust gas heat recovery after the second-stage catalytic oxygen reaction, and a selective catalytic reduction reaction for conducting selective catalytic reduction reaction on the exhaust gases after the second-stage catalytic oxidation reaction so as to eliminate nitrogen oxides. The method achieves adjusting by adjusting the relevant bypass flow and supplementary air volume. The invention is adapted to thetreatment of the exhaust gas containing volatile organic compounds and nitrogen oxides such as the exhaust gas of an acrylonitrile absorption tower, the energy consumption is reduced advantageously, the operation is facilitated, and the emission of nitrogen oxides is reduced.

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 relates to the field of waste disposal, in particular to a reverse fire type pyrolysis disposal technology and device for household waste. A technological method comprises the followingsteps of 1 waste collecting and storing, 2 waste crushing and sorting, 3 high-temperature waste drying, 4 waste pyrolyzing, 5 gas condensing, 6 gas purifying and 7 gas reutilizing. The device comprises a feeding system, a material storing box, a crushing machine, a dewatering device, a drying device, an incinerator, a dust removing device, an exhaust gas furnace, an exhaust gas purifying device and auxiliary devices connected with the above devices. The technology is set for the characteristics of rural waste, pre-disposal is conducted by adopting the three-stage crushing machine, pyrolyzing is conducted by adopting a reverse fire type gasification furnace, influences on the ecological environment can meet the requirement of the II type standard, no influence on the surrounding is generated, and the purposes of recycling, high efficiency, environmental friendliness and clean energy sources are achieved in the disposal process.

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 a quick sparse Radon transformation method based on iterative shrinkage. The quick sparse Radon transformation method comprises the following steps: firstly, setting an initial variable value; secondly, constructing a transformation operator L and calculating generalized inverse (LTL)-1LT of the transformation operator L; thirdly, treating a seismic channel set d to be treated by utilizing the generalized inverse (LTL)-1LT of the transformation operator L; and lastly, judging if all channel sets in a seismic data cube are treated, if not, continuing to treat the seismic channel set d to be treated by utilizing the generalized inverse (LTL)-1LT of the transformation operator L, and if so, ending. According to the quick sparse Radon transformation method, for one seismic data cube collected by adopting the same collection parameters, the generalized inverse of the transformation operator L only needs to be calculated once, then the transformation operator L and the generalized inverse (LTL)-1LT of the transformation operator L are applied to all seismic channel sets, thereby greatly reducing calculated amount; and the iterative shrinkage algorithm only includes product operation of simple matrixes and vectors and threshold operation, greatly reduces the calculated amount relative to the conventional sparse Radon transformation, and better adapts to treatment of practical seismic data.

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 relates to the technical field of seismic data processing, and discloses a method for nesting and connecting a residual network based on a multi-branch selective kernel, which comprises the following processing steps of: nesting and connecting multiple layers of residual modules to obtain a residual nesting network; and adding a multi-branch selective kernel, taking the residual nested network as the input of the multi-branch selective kernel, performing feature extraction on each branch by using convolution of different scales, and calculating and outputting a final image. According to the method, nested residual connection is adopted, residual connection can be reduced, and the calculation efficiency is improved. The nested residual connection is combined with the multi-branch selective kernel, the feature map output by the nested connection residual network can be used as the input of the multi-branch selective kernel module, and the convolution kernels of different sizes are used for multi-branch fusion to obtain the feature map rich in content, so that the method adapts to complex data processing. The method has high operation efficiency and denoising performance, and can be widely applied to random noise processing of actual seismic data.

The invention discloses a method and system for recovering CO in DMC synthesis tail gas through membrane separation, and the method comprises the following steps: pretreating the DMC synthesis tail gas to obtain membrane separation inlet gas; the membrane separation inlet gas is subjected to selective component separation through a plurality of membrane assemblies to obtain permeated gas and retentate gas; wherein the content of CO2 in the DMC synthesis tail gas is 3wt%-15wt%, the sum of the concentrations of methanol and DMC in the membrane separation inlet gas is less than or equal to 50ppm, the pressure of the membrane separation inlet gas is 1.3-2.8 MPaG, the working pressure water dew point of the membrane separation inlet gas is less than or equal to 20 DEG C, the temperature of the membrane separation inlet gas is 25-40 DEG C, CO is impermeable gas, and CO2 and H2O steam are both permeable gas; only a small amount of methanol and DMC need to be removed at a feed gas inlet, the CO recovery rate is high, the pressure drop of effective CO gas before and after membrane separation is smaller than or equal to 100 kPa, and the effective CO gas can be recycled as feed gas after being pressurized by a supercharger.

The invention relates to a method for acquiring an optimal combination solution from a data set, which is characterized by comprising the following steps of: 1, acquiring a pre-generated data set with M rows and Q columns, and equally dividing M rows of data in the data set into N groups of data combination solutions, the acquisition method of the data combination solution is to traverse all possible data combination solutions by adopting a genetic algorithm; step 2, performing temporary data table extraction on each data combination solution, and calculating a combination deviation value of the data combination solution based on data items in the temporary data table obtained by extraction; and step 3, traversing combination deviation values of all possible data combination solutions, and selecting an optimal combination mode based on the combination deviation values. The method is simple, accurate in result and suitable for operation processing of mass data acquired by a data acquisition platform.

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 relates to a method for automatically registering a raster image and a vector electronic map, which comprises the following steps of: detecting the characteristic type of the raster image; performing edge extraction to obtain an edge image according to the characteristic type of the raster image; and matching the edge image and the vector electronic map serving as a reference map. In most of conventional registration methods, data sources are required to be consistent; and compared with the prior art, the method has the advantages of capability of realizing the registration of raster data and vector data, and adaptability to the processing of edge lines and centre lines by utilizing two different characteristic extraction methods.

The invention discloses a pectinase preparation and an application thereof and belongs to the field of enzyme preparations. The thermal stability of pectinase at 60 DEG C is remarkably improved by using glycine, Zn<2+> and alanine, and the residual activity of the pectinase is higher than 50% after the pectinase is kept at the constant temperature of 60 DEG C for 10 h, so that the pectinase is better applicable to surface finishing of cotton fabric.

The invention discloses lightweight rotary kiln system equipment for treating waste mud of an oil and gas field. The lightweight rotary kiln system equipment comprises a lightweight rotary kiln, wherein the lightweight rotary kiln comprises a rotary kiln feeding device, a rotary kiln cylinder, a power device, a supporting device, a catch wheel device, a rotary kiln head box, a hot blast stove and a combustor; the rotary kiln head box is arranged at the other end of the rotary kiln cylinder, and one side of the rotary kiln head box is rotationally connected with the rotary kiln cylinder in a sealing mode; the combustor is arranged outside the other side of the hot blast stove, and a fire spraying opening of the combustor communicates with the interior of the hot blast stove; and the rotary kiln cylinder is formed by welding high-temperature-resistant stainless steel plates, and the inner wall of the rotary kiln cylinder is polished to be smooth. The invention further discloses a process for treating the waste mud of the oil and gas field by using the rotary kiln system for treating the waste mud of the oil and gas field. The rotary kiln cylinder is made of a high-temperature-resistant stainless steel material, so that a heat insulation layer is omitted, the device can well adapt to the treatment of the waste mud, and the weight of a kiln body is reduced.