756results about How to "Settle the loss" patented technology

Disclosed is a handover method in radio communication. A base station apparatus monitors the receiving state of a terminal, detects, based upon the receiving state, whether the terminal is one in which there is a possibility that loss of a call or a decline in quality will occur or one in which loss of a call or a decline in quality has occurred, and hands over the terminal to another base station apparatus having a carrier frequency different from that of the present base station apparatus.

The present invention discloses a beauty processing method and device. The method comprises: performing face detection of a picture to be processed, and determining the face area in the picture to be processed; performing face key point detection of the face area, determining the face key points, and generating a face key point layer according to the face key points; detecting the skin color area of the picture to be processed, and generating a skin color processing layer; splicing at least one setting area in the face key point layer to a position synthesis beauty processing layer corresponding to the skin color processing layer; and performing beauty processing of the picture to be processed according to the beauty processing layer, and generating a beauty picture. The beauty processing method and device are able to realize the beauty process of a portrait in a picture and reserve the details of a face setting area.

The invention discloses a vehicle loss determination method based on mobile communication terminal or network terminal, comprising the steps that: after a traffic accident, a party transmits an image of the damaged part and related information of a vehicle to a loss determination service center by wireless communication network; the loss determination center analyzes the image of the damaged part and related information of the vehicle, determinates the loss by a loss determination system; and the loss determination service center submits the loss determination result to the party by wireless commutation network. The party transmits the image of the damaged part and related information of the vehicle to the loss determination service center by wireless communication network, the loss determination service center determinates the loss by the loss determination system, and submits the result to the party by wireless communication network, therefore the invention is capable of assuring instantaneity, reasonability and precision of loss determination.

The invention discloses a tangential-longitudinal axial type grain combine harvesting and bundling duplex operation machine which comprises a grain cutting and conveying system, a seed threshing and separating system, a seed cleaning device, a seed collecting and storing system, a straw compressing and bundling device, a chassis walking system and a driving operation system. When the duplex operation machine harvests grain in the field, firstly, the grain cutting and conveying system cuts stalks of grain and conveys the grain to the seed threshing and separating system, straws where seed threshing and separating are conducted are compressed and bundled through the straw compressing and bundling device, seeds obtained through threshing are cleaned through the seed cleaning device, and seeds obtained through cleaning are conveyed to a grain tank through the seed collecting and storing system. The duplex operation machine can meet the requirements for harvesting seeds of rice and wheat and compressing and bundling threshed straws, and has the advantages of being high in work efficiency, stable in work performance, simple in work procedure and capable of saving time and labor.

The present invention provides a semiconductor light emitting element realizing lower resistance, higher output, higher power efficiency, higher mass productivity and lower cost of the element using a light transmissive electrode for an electrode arranged exterior to the light emitting structure. A semiconductor light emitting element including a light emitting section, a first electrode, and a second electrode on a semiconductor structure including first and second conductive type semiconductor layers, the first and the second electrodes being arranged on the first conductive type semiconductor layer and a second conductive type semiconductor layer of the light emitting section, respectively; and a light transmissive insulating film formed on at least one part of the second conductive type semiconductor layer; wherein the second electrode includes a first layer of a light transmissive conductive film for covering at least one part of the second conductive type semiconductor layer and a second layer which is arranged on at least one part of the light transmissive insulating film and which conducts to the first layer; a light reflecting part is formed on a surface side of the first layer, and aboundary region of the light transmissive insulating film and the semiconductor structure; and the second layer side surface of the light transmissive insulating film is distant from the semiconductor structure than the surface of the first layer.

The invention relates to a pressure pipeline ultrasonic internal detection automation device; a purpose comprises that the provided device can meet detection requirements of a larger-diameter pipeline and has the characteristics of high detection accuracy and high detection efficiency. The technical scheme comprises that the pressure pipeline ultrasonic automatic detection device comprises a pipeline crawling robot, a probe assembly device, encoders, centralizers, supporting frames, a phased array module device and an ultrasonic detecting instrument; the probe assembly device comprises a first annular phased array probe assembly, a second annular phased array probe assembly, a conical phased array probe assembly for detecting defects of inner and outer surfaces and an interior circumference, and corresponding probe holding devices; the first annular phased array probe assembly, the second annular phased array probe assembly and the conical phased array probe assembly are each composed of more than 3 of 128 array element phased array probes; ultrasonic waves emitted by piezoelectric crystal plates of the probe assemblies firstly pass through an annular concave lens and then scan circumferential pipeline walls.

The invention discloses a hydraulic energy-saving system which includes a hydraulic oil tank, a variable pump, a speed control valve, a first electromagnetic directional valve, a hydraulic cylinder, a first travel switch, a second travel switch, a second electromagnetic directional valve, a third electromagnetic directional valve, a fourth electromagnetic directional valve and an energy accumulator. When the hydraulic oil tank adds oil to a rodless cavity of a hydraulic cylinder, the oil in a rod cavity of the hydraulic cylinder flows into the energy accumulator through a pipeline. In a restoration process of the hydraulic cylinder, the energy accumulator adds the oil into the rod cavity of the hydraulic cylinder through the pipeline. The hydraulic energy-saving system solves the loss problem of hydraulic oil in an oil return pipeline and an overflow pipeline in a traditional hydraulic system; the hydraulic oil in the oil return pipeline and the overflow pipeline is recycled through the hydraulic energy-saving system. The recycled hydraulic oil is reutilized in a main oil channel so that the purpose of energy-conservation is achieved.

The invention discloses a power grid equipment image weak supervision instance segmentation method based on RGB-T fusion, which comprises the following steps: 1, acquiring RGB images and infrared thermal images of pairs of a plurality of power grid equipment, and processing the acquired RGB images to obtain simple RGB images; 2, automatically marking a mask on the simple RGB image; 3, establishingan instance segmentation model; Constructing a simple training set to train the instance segmentation model; 4, performing segmentation prediction on the original RGB image by using the trained instance segmentation model to obtain a segmentation mask mark of the original RGB image; Constructing a complex training set to train the instance segmentation model to obtain a final power grid equipmentinstance segmentation model; And 5, acquiring an RGB image of the power grid equipment, and inputting the RGB image into the final power grid equipment instance segmentation model to obtain a power grid equipment segmentation mask. According to the method, automatic marking of samples can be realized, so that quick and accurate power grid equipment instance segmentation is realized.

The invention discloses a thermal error measuring and integrating system for a numerical control machine tool. The thermal error measuring and integrating system is characterized by comprising a temperature measuring unit, a thermal displacement measuring unit, an industrial control machine and a display unit, wherein the industrial control machine is used for carrying out real-time staged modeling by using a thermal error function according to temperature detection data and thermal displacement deformation detection data which are saved in real time, carrying out precision evaluation on the temperature detection data and the thermal displacement deformation detection data and judging the stability and the precision of a model. The thermal error measuring and integrating system has low cost and high precision, is simple and practical and provides a support of an experimental device for thermal error compensation research and application of the numerical control machine tool.

The invention provides a wind turbine generator control method, a controller and a control system of wind turbine generator. The method comprises the steps of acquiring the air velocity in front a hub by a distance two to three times the diameter of an impeller, the pitch angle of the impeller at the current moment as well as the rotation angular speed of the generator, calculating the pneumatic torque of the impeller, and calculating corresponding electromagnetic torque; acquiring the current torque given value and a pitch angle given value; and correcting the given value outputted by a torque controller or a variable-pitch controller. The controller comprises a pneumatic torque calculation module, a torque controller, a variable-pitch controller and a controller given value correcting module. The control system comprises a laser radar wind speed measurement instrument, a wind turbine generator, and the above controller. The wind turbine generator control system provided by the invention can respond to the wind speed change in advance to correct the variable-pitch and torque control effect so as to improve the wind energy utilization rate of the wind turbine generator, thereby obviating integral fatigue loads and power generation loss caused by impeller inertia and delay of the pitch-variable system.

The invention relates to a circulating well system for removing volatile organic compounds in underground water, and aims at providing a circulating well system suitable for different soil types to solve the problems of hydraulic transmission energy loss and poor soil permeability and avoid airflow short circuit caused by overlarge injection pressure as well as improve the influence radius and achieve remarkable repair effect. The system comprises an outer well, an inner well, a gas injection system, a gas extraction system and a reagent spraying system, wherein the inner well is arranged in the outer well, the gas injection system is used for introducing gas into the water of the inner well for aeration, a part of the gas mingled with organic pollutants is extracted by the gas extraction system and then adsorbed by an active carbon adsorption device to be discharged, the other part of the gas enters the outer well, and the reagent spraying system is used for sprays reagent liquid into the outer well.

The invention discloses a medical material intelligent storage system which is connected to a hospital ERP system and a supplier ERP system. The medical material intelligent storage system comprises amain control module and an intelligent cabinet. The main control module is connected to at least one intelligent cabinet through a first wireless communication module. The intelligent cabinet includes an RFID reading and writing module, an image sound collecting module, a temperature and humidity collecting module, a magnetic lock and an interactive touch screen. The main control module includesan RFID tag management module, a voiceprint recognition module, an image processing recognition module and an execution control module. The main control module sends an unlocking instruction, a closing instruction, a cooling instruction, a ventilation instruction, a lighting instruction and / or an alarming instruction to the intelligent cabinet through the execution control module. Based on medicalinstitution material information management / hospital ERP, the functions of automatic replenishment, first-in-first-out and inventory monitoring of medical devices are achieved, the timeliness of thedevices are ensured, the error rate of physical access is reduced, and the hidden risks of medical quality and medical safety are reduced.

The invention belongs to the technical field of radar target identification and provides a one-dimension range profile optimal orthogonal nolinear subspace identification method for radar targets. Nonlinear transformation is conducted on a one-dimension range profile of each category of targets, the one-dimension range profile is mapped to high-dimensional linear characteristic space, an optimal orthogonal nolinear transformational matrix is established in the high-dimensional linear characteristic space, characteristic extraction is conducted, a nearest neighbor rule is adopted for classification, and the category of an input target is finally determined. The method comprises the steps of utilizing a kernel function and the one-dimension range profile of the radar target to train a vector to determine matrixes of Ui, Vrj, (K)ij, W alpha and B alpha; determining a vector alpha i (i=1, 2, ..., n) in optimal orthogonal nolinear subspace, determining the transformational matrix A of the optimal orthogonal nolinear subspace, wherein the A ranges from alpha 1 to alpha n; determining a base template vector of the target; determining an optimal orthogonal nolinear projection vector of the one-dimension range profile xt of the input target; determining the Euclidean distance between the optimal orthogonal nolinear projection vector and the base template vector of the target and determining the category of the one-dimension range profile of the input target. The one-dimension range profile optimal orthogonal nolinear subspace identification method for radar targets can effectively improve target identification performance.

The invention discloses a zero-valent iron carrying nanometer composite resin for catalytic degradation of pollutants and a preparation method thereof. The zero-valent iron nanometer composite resin has the following structures: (1) the carrier of the nanometer composite resin is an ion-exchange and adsorption resin having alkali functional group; (2) the internal and external surfaces of the carrier support nanometer sized zero-valent iron series inorganic materials. The zero-valent iron nanometer composite resin is prepared by leading FeCl4 ion onto the internal and external surfaces of the resin by ion-exchange, deoxidizing the FeCl4 ion into nanometer zero-valent iron and obtaining the zero-valent iron carrying nanometer composite resin by washing and drying under the protection of N2. The composite resin integrates the Donnan preenrichment effect of the resin on the inorganic anionic pollutants in the water body and the high-efficient catalytic degradation effect of the nanometer zero-valent iron on the environmental pollutants, overcomes the shortcomings of easy conglobation, unstable chemical property, small particles and big loss of the pressure head of the nanometer zero-valent iron particles and has fast, high-efficient and low-cost catalytic degradation toward the micro-pollutants in the environment.

The actinidia arguta is a specific precious wild resource. The meat of the actinidia arguta is jade green; the actinidia arguta tastes fine, juicy, fragrant and delicious; the sweetness and the sourness are proper; the nutrition is very rich; the actinidia arguta is a fruit well received by customers and is known as the king of fruits. Wild actinidia arguta resources are readily available in Changbai Mountains, but products of the actinidia arguta are few and cannot meet the consumption demands in different seasons, so that the demands of the customers for wild actinidia arguta products are suppressed. The invention discloses a preparation technology for Changbai-mountain pure natural wild actinidia arguta fruit powder. According to the technology, the freeze-dried fruit powder is prepared by selecting fresh and intact actinidia arguta, washing, smashing, pulping and concentrating the actinidia arguta, adding maltodextrin and performing vacuum freeze-drying on mixed fruit paste. The actinidia arguta freeze-dried fruit powder is high in nutrient value and is convenient food suitable for various groups of people.

A secure network server wherein both the forwarding process and the receiving process are created upon connection initialization, and the receiving process is held off from communicating with the source host until the forwarding process has created a connection with the destination host. This solves the problem of message loss when the destination host is unreachable.

The invention discloses a self-service retail system, a control method thereof, a vending device and a cloud server. The self-service retail system comprises the vending device and the cloud server. The vending device comprises a plurality of shelves, a plurality of weight sensors for respectively performing weight detection on the plurality of shelves to generate a weight detection signal, a plurality of cameras for respectively acquiring images of commodities on the plurality of shelves, a communicator for communicating with the cloud server, a first controller used for sending the weight detection signal and the commodity images to the cloud server, and the cloud server for obtaining a target shelf whose weight changes according to the weight detection signal and performing settlement according to the weight detection signal of the target shelf and the corresponding product images. According to the self-service retail system of the embodiment of the invention, the accuracy of identifying commodities to be paid is improved, the problem of the loss of a merchant or a user due to the wrong payment can be effectively solved, and a better user experience can be brought to the user.

The invention relates to a system for detecting the tensioning force of a vertical presstressed reinforcing steel of a concrete box girder bridge web plate, which comprises a reinforced bar, a corrugated sleeve and nuts, wherein the lower part of the reinforced bar is vertically embedded into the concrete box girder bridge web plate and stretched into the vertical presstressed reinforcing steel; the upper part of the vertical presstressed reinforcing steel is provided with an exposed section; the exposed section is provided with an acceleration transducer and an exciter and electrically connected with a data acquisition unit, a notebook computer and a power supply; a signal analysis device which is used for being connected with the data acquisition unit is arranged and operated inside the notebook computer; the exciter obtains a command of the notebook computer to make the exposed section of the vertical tendon vibrate, converts the vibration into the natural frequency of the exposed section of the vertical presstressed reinforcing steel through the signal analysis device, and acquires the tensioning force between two nuts of the vertical presstressed reinforcing steel by application of a calculation relational expression. The detection system overcomes the defect that the prior system for detecting the tensioning force of the vertical presstressed reinforcing steel of a concrete box girder bridge can not meet the demand of on-scene large-area detection of the quality of the tensioning force of the vertical presstressed reinforcing steel, and is suitable for detecting the vertical presstressed reinforcing steel of the large-span prestressed concrete box girder bridge web plate.

The invention belongs to the field of propagation and control of epidemic diseases, and relates to an infectious disease epidemic situation optimal control method. The prior art has the defects that the control parameters for the epidemic situation control scheme are not subjected to optimal control; and in the control process of infectious disease epidemic situation, the stricter the control measures are, the higher the control cost is, and the less the number of infected persons is, so the optimal control problems of determining the values of control parameters and minimizing the control cost and the treatment cost of the infected persons need to be urgently solved. The infectious disease epidemic situation optimal control method comprises the following steps of firstly, determining the target function of the control cost of the infectious disease epidemic situation, and then utilizing a genetic algorithm to optimize and solve the control parameter value which is used for minimizing the minimum target function value of the control cost of the infectious disease epidemic situation. The method has the advantage that the optimal control problem of minimizing the control cost and the treatment cost of the infected persons is solved, so the control cost after optimizing is far less than the control cost before optimizing.

The invention discloses a remote supervision relation extraction method and device. The remote supervision relation extraction method comprises the following steps: generating an entity recognition training data set through a bootstrapping algorithm, and carrying out recognition on an entity of a sentence through a crf + + tool; generating an entity relation extraction training data set through aremote supervision method, and generating an entity relation extraction data set through a relation knowledge base and a natural language corpus; and carrying out entity relationship extraction on theentities of the sentences based on a cyclic segmented convolutional neural network and a sentence embedding module. According to the remote supervision relation extraction method, training data can be automatically marked through natural corpus, and entity recognition and entity relationship extraction are completed.

The invention relates to a preparation method of flurbiprofen axetil. The method comprises the following steps of: preparing 4-bromine-2-fluoroanili from fluoroaniline under the action of 1,3- dibromo-5,5-dimethyl hydantoin; condensing 4-bromine-2-fluoroanili with benzene under the action of a catalyst and sodium nitrite to synthesize 4-bromine-2-fluorobiphenyl; carrying out grignard reaction and acidity reaction on the 4-bromine-2-fluorobiphenyl and 2-bromine sodium propionate under the action of a catalyst to generate 2-(2- fluorine-4-biphenylyl) propionic acid; condensing the 2-(2- fluorine-4-biphenylyl) propionic acid with 1-chloroacetic ethyl acetate to generate a target compound flurbiprofen axetil; and carrying out molecular distillation on the flurbiprofen axetil crude product to obtain a flurbiprofen axetil final product.

The invention provides a solution selection type trunk green wave configuration method and system. The method comprises the steps of generating a trunk information base; analyzing trunk traffic flow patterns according to current trunk traffic investigation situation, researching an intersection grouping solution during trunk green wave control in each pattern, and generating a trunk green wave configuration solution base; acquiring real-time trunk intersection traffic flow detection parameters, analyzing a real-time trunk traffic flow running pattern by similarity assessment, selecting an appropriate intersection grouping solution from the trunk green wave configuration solution base, thus realizing the configuration of trunk green wave parameters; and transmitting the generated real-time trunk green wave configuration solution to an intersection traffic signal controller to execute the solution. The solution selection type trunk green wave configuration method and system can meet the requirements of green wave configuration for instantaneity and validity, and can guarantee trunk green wave bandwidth and optimize the overall trunk traffic efficiency.

The invention relates to a cotton cultivation method. The method comprises the following steps: sowing of cotton seeds and laying of drip irrigation pipes: sowing three rows of cotton seeds under a mulching film, laying a drip irrigation pipe on each row; drip irrigation of seedling emergence period water; drip irrigation of bud period water, wherein the maximum water holding amount of the soil in the bud period is 70%-80%, the drip irrigation liquid of the bud period water is clear water or a water and fertilizer mixed solution; drip irrigation of flowering and boll-setting period water, wherein the maximum water holding amount of the soil in the flowering and boll-setting period is 80%-90%, and the drip irrigation liquid of the flowering and boll-setting period water is a water and fertilizer mixed solution; drip irrigation of boll opening period water, wherein the maximum water holding amount of the soil in the boll opening period is 60%-70%, and the drip irrigation liquid of the boll opening period water is clear water or a water and fertilizer mixed solution. The method also comprises the steps: flowering and boll-setting period chemical topping, flowering and boll-setting period cotton spindling controlling, and ripening and defoliating. Water and fertilizer are saved, water, fertilizer and sunlight can be fully utilized by the cotton, the mechanical production is achieved, manpower and material resources are saved, and finally the cotton yield is improved.

The invention discloses a movie recommendation method based on feedback of users' various behaviors. The method includes the steps of s1, clustering movies, to be specific, subjecting movie information to feature selection to obtain keyword description of each movie; s2, calculating user similarity, to be specific, clustering users into a plurality of user sets by means of content clustering-behaviors based on the fuzzy theory, with each user having different membership degrees in the different user sets, performing modeling with movie description information and feedback data of users' various behaviors, calculating membership degrees of each user in the user sets, and calculating user similarity according to the membership degrees of the users in the different user sets; s3, generating recommendations, to be specific, generating different movie recommendation lists for the users according to the acquired user similarity. The method helps solve the problem of data sparsity, solve the problem of information loss occurring in traditional 'implicit-explicit' conversion and improve recommendation precision.

The invention discloses an anti-mud type phosphate modified polycarboxylate superplasticizer and a preparation method thereof. The method specifically comprises the following steps: performing oxidation-reduction free radical polymerization reaction on unsaturated carboxylic acid micro-monomer and unsaturated polyether macro-monomer in the presence of an initiator, a reducing agent and a chain transfer agent, thereby acquiring a carboxyl-containing polycarboxylate superplasticizer prepolymer; with diphenyl phosphoryl chloride, modifying the carboxyl-containing polycarboxylate superplasticizer prepolymer partially, thereby acquiring a phosphate based copolymerization product; after completing the reaction, regulating the pH value to 6-7 and adding water, thereby acquiring the polycarboxylate superplasticizer. According to the invention, the side chain of the polycarboxylate superplasticizer is modified into a phosphate group containing two benzene rings and the phosphoric acid functional group enters into the carminate element of the polycarboxylate superplasticizer, so that the sulfate radical resisting capacity and anti-mud capacity of the polycarboxylate superplasticizer are promoted. The introduction of the benzene rings can greatly increase the physical size of the side chain of the polycarboxylate superplasticizer and the polycarboxylate superplasticizer is unlikely to be inserted into the layered structure of clay, so that the anti-mud effect can be achieved and the intrinsic function of the polycarboxylate superplasticizer is not influenced.

The invention discloses a plant antibacterial component based slow-releasing antibacterial fresh-keeping carton and a production method thereof and relates to the field of fresh keeping of agricultural products. The slow-releasing antibacterial fresh-keeping carton comprises a corrugated board and an antibacterial coating which coats the corrugated board, and the antibacterial coating is prepared from, by weight, 0.2-3% of clove extract, 0.4-4% of thymus serpyllum extract, 0.3-3% of lemon grass extract, 0.3-2% of prickly ash extract, 6-16% of moisture sensitive resin, 2-6% of beta-cyclodextrin, 0.02-2% of emulgator and 80-90% of distilled water. The production method includes: firstly, proportionally mixing all the components of the antibacterial coating with heating and stirring to produce a slow-releasing antibacterial coating solution; secondly, coating the corrugated board with the slow-releasing antibacterial coating solution to obtain the slow-releasing antibacterial corrugated board; finally, subjecting the antibacterial corrugated board to die cutting and creasing to produce the slow-releasing antibacterial fresh-keeping carton. The slow-releasing antibacterial fresh-keeping carton is applicable to fresh keeping of the agricultural products such as fruits and vegetables, and storage period of the fruits and vegetables can be prolonged by three to eight times.

The invention discloses a lithium battery silicon-carbon nanotube composite cathode material as well as a preparation method and application of the lithium battery silicon-carbon nanotube composite cathode material. The preparation method of the lithium battery silicon-carbon nanotube composite cathode material comprises the following steps of: mixing and uniformly stirring an organic carbon source and nanometer silicon based on the mass ratio of (0.4-9): 1, adding a catalyst to obtain mixed slurry, drying by a closed circulation spray dryer to obtain a precursor, insulating the precursor for 1-5 hours at the temperature of 300-700 DEG C to obtain a sample, feeding the sample in a tube furnace, increasing the temperature to 500-900 DEG C under the mixed gas of gaseous organic carbon source and N2 and Ar2, and naturally cooling to obtain the lithium battery silicon-carbon nanotube composite cathode material. The lithium battery silicon-carbon nanotube composite cathode material has excellent electrochemical properties, high first charge-discharge efficiency up to more than 2000mAh / g, reversible specific capacity of about 1100mAh / g after cycle of 50 weeks, and good specific capacity and cycle performance, and the problems of low first efficiency, large irreversible capacity loss and poor conductivity of silicon when being used to prepare a lithium ion battery cathode are successfully solved.

The invention relates to unsaturated phosphate ester for producing a high-slump-retaining type polycarboxylic acid water reducing agent. The unsaturated phosphate ester is prepared through the following steps of firstly, performing an esterification reaction on one or a mixture of one or more of the unsaturated acid and the unsaturated acid anhydride, and alcohol; then performing a phosphorylation reaction on the prepared unsaturated acid ester and a bonderite so as to obtain unsaturated phosphate ester; and finally performing a radical polymerization reaction on the prepared phosphate ester, and methyl-2-propen-1-ol or one or a mixture of one or more of TPEG, a chain-transfer agent, unsaturated acid and an unsaturated acid derivative at the room temperature so as to obtain the phosphoric acid base high-slump-retaining type polycarboxylic acid high-performance water reducing agent. The unsaturated phosphate ester disclosed by the invention can be used for synthesizing the water reducing agent, so that the water reducing agent is excellent in properties, and has the advantages of being low in mixing quantity, high in water reducing rate, excellent in slump-retaining capacity, good in adaptability to cement, insensitive to mud content of concrete materials and the like.

The invention belongs to the technical field of computer vision, and particularly discloses a construction method of a multi-plane coding point cloud feature deep learning model based on pointpillars.The construction method comprises the following steps of: acquiring training samples, and training a multi-plane coding point cloud feature deep learning model by adopting the training samples, so that a recognition result obtained by inputting the point cloud data in the training samples into the trained multi-plane coding point cloud feature deep learning model is the position bounding box coordinates of the detection target in the point cloud data and the existence probability of the target in the bounding box coordinates. Three-dimensional space sampling of point cloud data can be realized; the method is advantaged in that the support point cloud features in the three planes are acquired through sampling, learning fusion is carried out on the support point cloud features in the threeplanes, a problem of space information loss of point cloud sampling in the prior art is solved, detection precision loss caused by different angles of the point cloud in each direction in the space isbetter reduced, model robustness is good, and detection accuracy is high.

The invention relates to a method for recovering valuable metals from copper anode mud flotation tailings and belongs to the technical field of thermometallurgy. The method comprises: firstly, performing retailoring on the copper anode mud flotation tailings to obtain a reduction product, and then performing oxidative blowing on the reduction product to obtain rich lead and arsenic and antimony containing soot; first-stage low-temperature vacuum distillation: performing primary low-temperature vacuum distillation on the obtained rich lead under the conditions of a temperature of 400-700 DEG C and a pressure of 1-100Pa for 1-3h, thereby obtaining secondary rich lead and a selenium-tellurium alloy; and second-stage high-temperature vacuum distillation: performing primary high-temperature vacuum distillation on the obtained secondary rich lead under the conditions of a temperature of 800-1200 DEG C and a pressure of 1-100Pa for 1-3h, thereby obtaining a lead-bismuth and a copper-gold-silver alloy. The method for recovering valuable metals from copper anode mud flotation tailings is safe and controllable in whole process flow, simple and convenient to operate, simple in equipment needed, free from three-waste emissions, and environment-friendly.