167results about How to "Reduce processing" patented technology

The utility model relates to the technical field of dry grinding and dry separation of iron ore and similar processes, and particularly discloses a dry grinding and dry separation system which comprises an incoming material conveying system, a roller mill, a dynamic powder concentrator, a dry classification cabin and a fine powder collecting and conveying system. A discharging hole of the supplied material conveying system is communicated with a feeding hole of the roller mill; a discharging hole of the roller mill is communicated with a feeding hole of the dynamic powder concentrator; a coarse particle material outlet of the dynamic powder concentrator is communicated with a material inlet of the dry type grading cabin; an oversize coarse particle discharging opening of the dry type grading cabin is communicated with a feeding opening of the roller mill; and a fine powder discharge hole of the dynamic powder concentrator is communicated with the fine powder collecting and conveying system. Finished product materials with various particle sizes can be provided, and the requirements of customers for different finished product particle sizes are met; fine powder screened by the dynamic powder concentrator is collected by a dust collector and then is directly conveyed to a tailing discarding procedure, so that the handling capacity of the dry classification cabin is reduced; the use condition of the dry-type grading cabin is optimized, and the system flow is simplified.

This invention discloses a method for enhancing the recovery of fine-grained titanium ore, belonging to the field of fine-grained titanium ore beneficiation technology. The steps include: (1) pre-enrichment; (2) preparation of modified collectors; (3) desulfurization; (4) multi-dimensional interface-controlled flotation; and (5) deep quality improvement. This invention, by adding a highly efficient activator, interacts with the surface of ilmenite to oxidize more ferrous ions to ferric ions, thereby increasing the number of active adsorption sites of the collector. Simultaneously, it modifies existing unsaturated fatty acid collectors, thereby increasing their dispersion, dissolution, and adsorption capabilities. Under the combined effect of these two factors, the flotation grade and recovery rate of fine-grained ilmenite are significantly improved, achieving the goal of enhancing the recovery of fine-grained titanium ore. The fine-grained titanium ore recovery method provided by this invention not only obtains qualified titanium concentrate, but also features flexible process implementation, low cost, small wastewater treatment volume, and no secondary pollution.

The invention is suitable for the technical field of data processing, and provides a data processing method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining a plurality of pieces of first feature information of a patient; obtaining second feature information matched with each piece of first feature information in a feature database; generating first text information according to the multiple pieces of second feature information and the first feature information; and generating a first diagnosis result corresponding to the patient according to the first text information. The method can improve the diagnosis efficiency of the auxiliary diagnosis and treatment system.

The application discloses a meteorological data processing method, a meteorological data processing device and an electronic equipment, and relates to the technical field of meteorology. The method can reduce the error of meteorological data and improve the accuracy of meteorological data. The method comprises the following steps: acquiring base data observed by each weather radar; performing gridding on the base data to obtain first gridding data of an observation area of each weather radar; determining a blur range of radial velocity; performing velocity de-blurring processing on the radial velocity in the first gridding data according to the blur range; determining a shielding range of a reflectivity factor; performing shielding removal processing on the reflectivity factor in the first gridding data according to the shielding range; performing gridding on the first gridding data after the velocity de-blurring processing and the shielding removal processing to obtain second gridding data; merging the second gridding data of each weather radar to obtain meteorological gridding data of a whole area; and converting the meteorological gridding data into target data corresponding to a weather forecasting system, so that the weather forecasting system can use the target data.

The invention discloses an intelligent outdoor box-type transformer substation heat dissipation system, and belongs to the field of box-type transformer substation heat dissipation systems, the intelligent outdoor box-type transformer substation heat dissipation system comprises a box-type transformer substation body, the inner wall of the box-type transformer substation body is rotatably connected with two groups of movable doors, and the number of each group of movable doors is two; one side face of each movable door is fixedly connected with two fixing blocks, the inner walls of every two fixing blocks are rotationally connected with long shafts, the outer surface of each long shaft is fixedly connected with a rotating drum, the outer surface of each rotating drum is fixedly connected with a stress blade, the outer surface of each rotating drum is fixedly connected with a transmission gear, and in addition, the outer surface of each rotating drum is fixedly connected with a transmission shaft. When the parts, without teeth, of the surfaces of the transmission teeth rotate and the knocking plate is in position, the knocking plate can reset under the action of the reset spring and knock the filter frame, so that dust on the surface of a filter screen in the filter frame vibrates, the purpose of automatically knocking the dust is achieved, and the problem that the dust on the surface of the filter screen in the filter frame needs to be treated regularly when equipment is used is solved.

The application provides a power transformation equipment fault tripping monitoring system, method, medium and program product, and relates to the technical field of power grid fault processing. The monitoring system comprises: a data acquisition system, configured to acquire system operation data of a power grid system; if it is detected that the system operation data contains alarm information of a target substation and position change information of a switch in the target substation, the alarm information and the position change information are sent to a tripping judgment system; the tripping judgment system is configured to determine whether there is an operation and maintenance record corresponding to a time stamp; if not, it is determined that the switch has failed tripping, and the time stamp and a target switch identifier of the switch are sent to a tripping analysis system; the tripping analysis system is configured to determine system operation data of the target substation within a first preset time length corresponding to the time stamp according to the target switch identifier, and generate a fault tripping report of the switch. The application improves data collection efficiency, automatically realizes research and judgment of fault tripping, and further improves fault troubleshooting efficiency and fault processing efficiency.

This invention provides a method for estimating the limits of available heavy metal content in soil, belonging to the technical field of soil environmental benchmark research. This method estimates the limits of available heavy metal content in farmland soil by co-sampling root soil and edible parts of agricultural products. This standard can then be used to evaluate the remediation effects of stabilization technologies and to implement safety management of agricultural products.

The application discloses an automatic driving scene generation method, device and equipment based on a particle swarm algorithm, which comprises the following steps: generating an optimized smooth curve according to an original trajectory curve of an automatic driving vehicle based on a cubic Bezier curve; taking the minimum trajectory distance as the target, and optimizing and searching the vehicle trajectory by using a grid search algorithm to obtain a target trajectory curve; analyzing the vehicle action according to a plurality of continuous trajectory points of the target trajectory curve to obtain a vehicle action recognition result; performing parameter optimization iteration based on the particle swarm algorithm according to the target trajectory curve, the vehicle action recognition result and a scene weather intensity coefficient until a preset iteration condition is reached to obtain an optimized parameter population; and generating an automatic driving scene according to the parameters of the optimized parameter population to obtain a target generated scene. The application can solve the technical problem that the existing scene generation scheme based on a genetic algorithm has low calculation efficiency for high-dimensional parameters, requires a large number of parameter settings, is time-consuming and laborious, and cannot ensure the efficiency of scene generation.

Embodiments of the present disclosure disclose a point cloud data registration method and device, electronic equipment and computer program product, the method comprising: obtaining at least two pieces of point cloud data to be registered; the at least two pieces of point cloud data are collected for the same collection area, and at least three calibration balls are fixedly placed in the collection area during the collection process; converting the point cloud data into image data; identifying the image area corresponding to the calibration ball from the image data; matching the calibration ball identified in the image data corresponding to the at least two pieces of point cloud data based on the relative position relationship of the at least three calibration balls in the image data; and registering the at least two pieces of point cloud data based on the matching result. This technical solution directly identifies the image, and then registers the point cloud data based on the information identified from the image, which can reduce the labor cost, improve the processing efficiency of the point cloud data, and also improve the accuracy and efficiency of the point cloud data registration.

The invention provides a method for separating and repairing a heterogeneous positive electrode black powder material, which comprises the following steps of: performing carbonization heat treatment on the heterogeneous positive electrode black powder material to obtain a carbonized heterogeneous positive electrode black powder material; mixing the carbonized heterogeneous positive electrode black powder material with a density heavy liquid, and carrying out cyclone separation treatment to respectively obtain a heavy product and a light product; and mixing the heavy product with a lithium source, and carrying out lithiation calcination treatment to obtain the nickel cobalt lithium manganate positive electrode material. Carrying out oxidation sintering treatment on the light product to obtain a sintered material, mixing the sintered material with a carbon source and a lithium source, and carrying out thermal reduction treatment to obtain a lithium iron phosphate positive electrode material; the heterogeneous anode black powder material comprises a mixed material of ternary nickel cobalt lithium manganate anode material black powder and lithium iron phosphate anode material black powder. According to the separation and restoration method, no strong acid, strong base or waste liquid is generated, no heavy metal is lost, efficient recovery and utilization of key elements on the material level are achieved, and density heavy liquid and water for washing can be recycled.

Embodiments of the present application disclose a power transformation equipment fault detection method and device and electronic equipment, comprising: obtaining running audio data and running vibration data of a to-be-tested power transformation equipment in a target time period; dividing the running audio data into a plurality of audio sub-data according to a preset time interval, to determine a stationary attribute of the running audio data based on the similarity between the plurality of audio sub-data; in the case that the stationary attribute of the running audio data meets a preset condition, inputting the running audio data and the running vibration data into a pre-trained fault detection model to determine a fault category of the to-be-tested power transformation equipment, most signals of the power transformation equipment in a stable running state can be discarded, and more dimensional fault features can be captured through joint analysis of audio and vibration signals, comprehensiveness, detection efficiency and accuracy of power transformation equipment fault recognition are improved.

The present application relates to a kind of weak magnetic lepidolite pre-elution waste-flotation enrichment method, belong to mineral processing technical field.The present application carries out coarse grinding, slurry conditioning to low-grade weak magnetic lepidolite, is pre-elution waste by high gradient magnetic separation, obtains coarse-grained high-grade lithium-containing magnetic product, again by concentration, fine grinding treatment, adds composite regulator and composite collector to carry out the selective regulation of slurry environment and mineral surface characteristics, using two roughing, once scavenging, once concentration can obtain high-quality lithium concentrate.The present application removes most of the gangue in the ore by magnetic separation, and once enrichment of weak magnetic lepidolite greatly reduces the ore processing capacity of subsequent process;Adopting fine grinding realizes that lithium mica is fully dissociated, and the new composite reagent developed is used to carry out selective hydrophobic flotation to lithium-containing magnetic product, which can realize secondary enrichment of weak magnetic lepidolite, and provides a new method for clean separation and efficient recovery of low-grade complex and difficult-to-select lithium ore.

The application provides an ultrasound-guided puncture method and system, relates to a data processing technology, and achieves accurate positioning during venous puncture under ultrasound guidance by constructing a part model corresponding to a puncture part, determining a partition scanning line of the part model, controlling an ultrasound device to perform segmented scanning on the puncture part based on the partition scanning line, obtaining a segmented scanning image, determining a segmented scanning image meeting a puncture condition as a sub-adaptive image, performing splicing processing on adjacent sub-adaptive images to obtain a spliced puncture image, performing venous shape judgment on the spliced puncture image to obtain a candidate puncture image, performing optimal selection on the candidate puncture image to obtain a puncture guide image, and determining a puncture point of a punctured vein in the puncture guide image based on a centripetal direction.

The application discloses a kind of solid waste intelligent monitoring method and system based on multi-source data, which comprises: multi-source data monitoring is carried out to solid waste delivery area, the initial multi-modal data after pre-processing is mapped to event reference time axis, time mapping function is generated, the space index of initial multi-modal data is based on time mapping function and initial multi-modal data Time-space alignment is carried out to initial multi-modal data, obtain candidate multi-modal data, cross-modal feature extraction is carried out to candidate multi-modal data, obtain the feature embedding vector of each modality data, the attention feature fusion is carried out to the feature embedding vector of each modality data, obtain multi-modal fusion feature, based on multi-modal fusion feature, solid waste class recognition monitoring is carried out to solid waste delivery area, cross-modal event synchronization is realized, cross-modal feature fusion efficiency is improved, with event as center Focus on significant moment, reduce redundant data processing, improve the recognition accuracy of solid waste.

The present application relates to a stainless steel pickling waste mixed acid treatment system and a method for recovering nitric acid and hydrofluoric acid, the stainless steel pickling waste mixed acid treatment system comprising a waste acid storage tank, an electrolytic cell, an air extraction device, a spraying device, a filtering device, a cathode acid storage tank and an anode acid storage tank, wherein the electrolytic cell is provided with a cation membrane, separating the electrolytic cell into a cathode chamber and an anode chamber, the cathode chamber being connected to the cathode acid storage tank through the corresponding air extraction device and spraying device, for guiding the hydrogen fluoride gas volatilized from the cathode chamber into the cathode acid storage tank, the anode chamber being connected to the anode acid storage tank through the corresponding air extraction device and spraying device, for guiding the nitric acid gas volatilized from the anode chamber into the anode acid storage tank, the cathode chamber and the filtering device being connected into a circulating loop, for circulating and filtering the cathode liquid to remove the precipitate in the cathode liquid, the filtering device also being connected to the cathode acid storage tank, and the anode chamber being connected to the anode acid storage tank. The above-mentioned waste mixed acid treatment system can realize the recovery of nitric acid and hydrofluoric acid in the waste mixed acid.

The application provides a query method, a query device, a processor and a query system. The method comprises the following steps: sorting query data of a plurality of data sources to obtain a plurality of serial number groups corresponding to the data sources one by one, wherein the serial numbers of the serial number groups correspond to the query data one by one; determining a starting index number of a target query page, wherein one query page displays a first predetermined number of query data, the target query page is any query page, the starting index number corresponds to the last query data of each data source in the last query page, and the starting index number corresponds to the data sources one by one; obtaining candidate data of each data source, wherein the candidate data is a second predetermined number of query data after the starting index number; performing aggregate sorting on the candidate data of each data source to obtain a sorting result; and determining the current first predetermined number of query data as a query result and displaying the query result on the target query page, thereby solving the problem of excessive data processing amount in the prior art query method.

The encoding device (100) has a circuit and a memory connected to the circuit, and the circuit performs, in operation, a process of deciding a boundary strength (S311) for controlling whether or not to perform deblocking filter processing for a block boundary of a generated reconstructed image. The decided process includes a process of setting the boundary strength to a second value in a case where encoding modes of one of a current block and a neighboring block of the current block and an encoding mode of the other are different from each other, the encoding modes of the one and the other being one of an intra block copy mode, a palette mode, and an inter mode, the setting process being performed in a case where the current block is a luma block, and not being performed in a case where the current block is a chroma block.

The present application belongs to the field of microseismic monitoring, and relates to a microseismic P wave and S wave separation method based on CNN-LSTM and a multi-head attention mechanism. The technology comprises: constructing a data set, using microseismic data collected in a hot dry rock hydraulic fracturing field, and manually labeling the data; the data set includes microseismic data of different time periods and different background noise intensities; inputting the data set into a neural network composed of a convolution layer, an excitation layer, a pooling layer, a random hidden neuron (Dropout) layer, a long short-term memory (LSTM) layer, a multi-head attention mechanism layer and a full connection layer for training; after the training is completed, the model is saved; inputting the microseismic data to be separated into the trained model for separation, and finally obtaining the separation result of P wave and S wave.

The invention relates to a coding and decoding device, a coding and decoding method, a bit stream transmission device and a storage medium. This encoding device is provided with: a circuit that, during operation, designs each of a plurality of sub-pictures included in a picture, encodes configuration information indicating the configuration of each of the plurality of sub-pictures included in the picture, and stores the encoded configuration information; the circuit encodes each of the plurality of sub-pictures, the circuit, in action, designs each of the plurality of sub-pictures such that at least one pixel contained in each sub-picture is contained in the same consistent cropping window in the picture, conditions for designing the plurality of sub-pictures include that an upper end of each of the plurality of sub-pictures is located above a lower end of the consistent clipping window.

The invention provides a method for preparing nickel-cobalt-manganese ternary regenerated liquid through multi-metal co-extraction and application, and the method comprises the following steps: firstly, carrying out calcium extraction treatment on a leaching solution obtained by removing iron, aluminum and copper from battery positive electrode black powder by adopting a first extraction organic phase to obtain a calcium-loaded organic phase and a calcium-removed raffinate; carrying out nickel-cobalt-manganese co-extraction on the calcium-removed raffinate by adopting a second extraction organic phase to obtain a nickel-cobalt-manganese-loaded organic phase, and carrying out reverse extraction treatment on the nickel-cobalt-manganese-loaded organic phase to obtain a nickel-cobalt-manganese mixed solution; and finally, the nickel-cobalt-manganese mixed solution is subjected to purification and impurity extraction treatment through a third extraction organic phase, and the nickel-cobalt-manganese ternary regenerated liquid is obtained. According to the preparation method provided by the invention, synchronous extraction of nickel, cobalt and manganese is realized, and the nickel-cobalt-manganese ternary regenerated liquid obtained by co-extraction can be directly used for in-situ preparation of the ternary positive electrode material, so that the regeneration period of the ternary positive electrode material is greatly shortened, the operation complexity and the production energy consumption are reduced, and the overall recovery cost is greatly reduced.

The encoding device, the decoding device, and the non-transitory computer-readable medium. The decision-making process includes: a first process performed when the current block is a luma block, determining whether a condition is met, wherein the encoding mode of the current block is different from the encoding mode of the adjacent blocks, and the encoding mode of the current block and the encoding mode of the adjacent blocks are one of three encoding modes, namely intra-block copy mode, palette mode, and inter-frame mode, and determining the boundary strength as a first value or a second value based on the determination of whether the condition is met; and a second process performed when the current block is a chroma block, determining the boundary strength as a first value regardless of whether the condition is met, wherein in the determination of whether the condition is met, the encoding mode of the current block and the encoding mode of the adjacent blocks are one of intra-block copy mode and inter-frame mode.

The application belongs to the technical field of integrated circuit design, and particularly relates to a cache access system supporting out-of-order processor data prefetching. The system specifically comprises a LOAD memory access information tracking and sequencing module, a LOAD memory access address history buffer, a prefetcher and a target prefetch address buffer. The LOAD memory access information tracking and sequencing module changes out-of-order LOAD memory access information into in-order LOAD memory access information, which is then input into the prefetcher; the prefetcher uses the in-order memory access information to realize more accurate training and target prefetch address prediction; valid target prefetch addresses output by the prefetcher are stored in the target prefetch address buffer to wait for subsequent sending; and the target prefetch address buffer is updated in real time to invalidate untimely addresses, so as to avoid sending useless prefetch addresses. The application can improve the learning efficiency of memory access rules and the accuracy of address prediction, and reduce the resource occupation of prefetch requests on the cache system.

The invention discloses an image data rotation optimization method and device, and the method is applied to a data rotation optimization network, and the method comprises the steps: obtaining packaged image data through an application layer, processing the image data into initial color space data containing brightness data and chrominance data, converting the initial color space data into a pointer type through a bridging layer; the code layer performs block matrix transposition operation on the brightness data and performs block matrix transposition and chrominance calibration processing on the chrominance data at the same time, and rotated brightness data and rotated chrominance data are obtained respectively; and combining the rotated brightness data and the rotated chrominance data into processed color space data in a code layer, returning the processed color space data to an application layer through a bridging layer, and outputting rotated image data. According to the invention, the overall processing duration of image rotation is reduced by adopting the block matrix while the matching between the bright and dark contours of the image and the color is ensured.

The application discloses a catalyst for synthesizing glycine and application of the catalyst in preparation of glycine, and relates to the technical field of glycine production. In the reaction process, one or more polymerization inhibitors are selected and the addition amount is controlled, so that the amount of formaldehyde is controlled to be reduced, the catalyst consumption is reduced, the catalyst consumption is reduced, and the glycine yield is improved.

The invention discloses a parallel stepped convolutional code space coupling coding and decoding (PSCBCC) method and device, belongs to the technical field of channel coding, and is suitable for a large-bandwidth communication scene. According to the method, a frame of data is divided into multiple groups of sub-data, parallel convolutional coding of three paths of input of current sub-data, interleaved previous sub-data and an interleaved previous check sequence is realized by utilizing a parallel coding unit, a current check sequence is generated, and the sub-data and the check sequence are respectively reserved to different subsequent moments to form asymmetric coupling; and during decoding, a parallel decoding unit is matched with a coding structure, and a plurality of groups of log-likelihood ratios are input to realize iterative updating. The throughput rate is improved through parallel processing, the bit error rate performance is enhanced through asymmetric coupling, multi-code-rate adaptation is supported, and the performance is superior to that of existing BCC and 4G / 5G standard codes.

This utility model relates to the field of wastewater treatment technology, and in particular to a series-type wastewater treatment flotation machine. It solves the problems of existing technologies where the sludge collection box is fixedly installed, resulting in cumbersome disassembly, difficulty in independent removal for thorough cleaning, long maintenance cycles, and high labor intensity. The series-type wastewater treatment flotation machine includes a flotation machine body and a mounting frame connected to the top of the flotation machine body. A mounting bracket is provided at one end of the flotation machine body, and the mounting bracket is connected to the end of the mounting frame via a connecting structure. A detachable collection chamber and a liquid collection box are provided at the bottom of the mounting bracket. This utility model, through the detachable liquid collection box and collection chamber, significantly improves the convenience of subsequent cleaning and maintenance efficiency, effectively reduces manual labor intensity, and meets the actual needs of efficient and stable equipment operation and rapid maintenance.

The invention discloses a differential dynamic microscopic image processing method based on a root-mean-square error. The differential dynamic microscopic image processing method comprises the following steps: a sequence image acquisition step: acquiring a time sequence microscopic image; a sequence image processing step: obtaining a difference image data set; performing one-dimensional Fourier transform in two directions on the differential image data set in sequence to obtain two-dimensional transform result data, and calculating to obtain Fourier amplitude spectrum image data; an obtained data processing step: carrying out dimension reduction processing on the Fourier amplitude spectrum image data; introducing structure function fitting, calculating a root-mean-square error between a fitting curve of the data after dimension reduction processing and the Fourier amplitude spectrum image data, and selecting a data truncation point according to the root-mean-square error; and an intermediate scattering function is introduced, and dynamic information of Brown particles is obtained based on the relationship between the data after selection of the truncation point and the diffusion coefficient. According to the method, the data truncation point is determined through the root-mean-square error, so that the processing time is remarkably shortened while the measurement precision is ensured.

This invention provides an absorbent for capturing carbon dioxide and a method for capturing carbon dioxide. By volume percentage, the absorbent comprises 20-60% glycine salt aqueous solution, 10-50% triethylene glycol monomethyl ether, 5-10% ethylene glycol, and the balance being water. This absorbent combines the advantages of glycine salt systems, such as low volatility, non-toxicity, safety, and better antioxidant degradation resistance, while avoiding the risk of solid precipitates forming after absorption by the glycine salt system, which could cause pipeline blockage.

The invention relates to a sludge concentration tank, a sludge concentration system and an application method.The sludge concentration tank comprises a tank body (1), the interior of the tank body is composed of a gas collecting area (4), a settling area (5) and a sludge storage area (6) from top to bottom, the gas collecting area is provided with a gas outlet (7), the side wall of the settling area is provided with a sludge feeding pipe (8), and the upper portion of the settling area is provided with a liquid discharging pipe (12); a sludge discharge pipe (9) is arranged at the bottom of the sludge storage area; the rotational flow inner part (2) is arranged in the settling area, the rotational flow inner part is a cylinder with the pipe diameter reduced from top to bottom, an opening in the bottom of the rotational flow inner part is a mud outlet, the top of the rotational flow inner part is closed, a clear liquid outlet (16) is formed in the rotational flow inner part, and a feeding opening is formed in the side wall of the rotational flow inner part and communicated with the sludge feeding pipe. The sludge concentration tank and the sludge concentration system can realize efficient separation of sludge and water, and the subsequent sludge treatment energy consumption is reduced; meanwhile, gas is collected, and the deodorization effect is achieved. The working efficiency and the separation efficiency are relatively high.

The invention relates to the technical field of spaceflight measurement and control, and provides a multi-frequency-point DPSK demodulation optimization method and system based on an FPGA, and the method comprises the steps: reading and caching binding parameter information after the FPGA is powered on and initialized; a DPSK-FM modulation signal to be demodulated is received; fourier transform operation is carried out on a carrier signal containing a to-be-demodulated DPSK-FM modulation signal to obtain frequency point information of an input signal; selecting filter configuration parameters of corresponding channels based on frequency point information of the input signals, performing down-mixing processing, uniformly converting the input signals of different carrier frequency points to the same target frequency point, and performing demodulation processing to obtain demodulated instruction data; and carrying out decoding comparison on the demodulated instruction data and the binding parameter information, and outputting a demodulation validity judgment according to a comparison result. According to the method, frequency point preprocessing unification in an FPGA program is achieved, redundant processing on multiple frequency points in a traditional method is avoided, unknown frequency points are converted into the same frequency in a unified mode, the universality of an FM-DPSK demodulation algorithm is improved, and the working efficiency of receiver FPGA software is effectively improved.