50results about How to "Efficient combination" patented technology

The invention provides an advertisement recommendation method and system based on deep reinforcement learning. The method comprises the following steps: receiving a real-time interaction signal of a user, analyzing time sequence characteristics in the real-time interaction signal to extract behavior characteristics of the user, and identifying a contextual model of the user; modeling the interest preference of the user to generate a personalized interest dynamic graph; performing intelligent exploration and decision processing on the optimal advertisement content and the corresponding pushing opportunity to obtain an advertisement recommendation strategy; calculating the optimal pushing opportunity corresponding to the optimal advertisement content from the optimal advertisement content and the corresponding pushing opportunity, and pushing the optimal advertisement content to the user based on the optimal pushing opportunity; establishing a real-time feedback mechanism to obtain an adjusted advertisement recommendation strategy; and performing comprehensive evaluation processing on the advertisement effect of the adjusted advertisement recommendation strategy to generate an advertisement effect evaluation result. According to the technical scheme provided by the invention, the flexibility and efficiency of advertisement recommendation can be improved.

The invention belongs to the technical field of computer application, and relates to an operation inspection equipment fault detection method and system based on an improved deep learning model, and the method comprises the steps: obtaining original data, employing EEMD to decompose the original data for feature enhancement, obtaining a decomposition signal, carrying out the noise reduction of the decomposition signal, and obtaining a feature signal after noise reduction; according to the feature signals after noise reduction, a deep learning model is constructed based on Resnet and a dynamic Transform encoder, and the prediction probability of each fault category is output; a ZOA optimization algorithm is used to optimize hyper-parameters of a deep learning model, an optimization model is obtained, the performance of the optimization model is evaluated, an optimal model is obtained, and the prediction probability of each fault category is output, so that false report and missing report of faults can be effectively reduced in a fault detection task, potential safety hazards caused by the fact that the faults are not found in time are reduced, and the fault detection efficiency is improved. Therefore, the stability and reliability of the power system are improved.

The invention discloses a high-voltage switch mechanical characteristic parameter optimization platform, and relates to the technical field of high-voltage switch mechanical characteristic parameter optimization, and the platform comprises a parameter collection module which is used for collecting mechanical characteristic parameters of a high-voltage switch in real time, and a data analysis module which is used for analyzing the mechanical characteristic parameters of the high-voltage switch based on the collected mechanical characteristic parameters. And analyzing the relevance between the high-voltage switch performance and the mechanical characteristic parameters through an adaptive optimization algorithm, and generating optimization reference data. According to the mechanical characteristic parameter optimization platform for the high-voltage switch, the influence degree and the mutual relation of each parameter on the performance can be accurately determined; based on the generated optimization reference data and adjustment reference data, parameters such as the on-off time, the switching-on time and the switching-off time of the high-voltage switch can reach better values, so that the comprehensive performance index is improved, parameter combinations can be comprehensively evaluated under various working conditions, potential performance problems can be found and adjusted in time, and the service life of the high-voltage switch is prolonged. And the high-voltage switch always keeps good performance in a complex actual operation environment.

The invention provides an intention recognition method and system based on a generative model and a storage medium, and the method comprises the steps: carrying out the semantic matching of a to-be-recognized text and a corpus sample library, and obtaining a semantic similarity; determining similar samples in a corpus sample library according to the semantic similarity, and splicing the similar samples and the to-be-recognized text to obtain a spliced text; the spliced text is input into a pre-trained generation model for intention classification, an intention classification result is obtained, and a target sample in the spliced text is determined according to the intention classification result; and determining the intention category of the to-be-recognized text according to the intention code of the target sample. According to the embodiment of the invention, a plurality of texts with intention codes, which are similar to the semantics of the to-be-recognized texts, are input into the pre-trained generation model together, so that the generation model can better recognize the semantic information of the to-be-recognized texts, and the intention recognition accuracy is improved.

The utility model discloses a line focusing photo-thermal storage integrated power generation system, which belongs to the technical field of solar photo-thermal and comprises a double-channel electric auxiliary fused salt energy storage unit and a power generation unit. The double-channel electric auxiliary fused salt energy storage unit comprises a heat release fused salt circulation channel and a heat absorption fused salt circulation channel. The heat release fused salt circulation channel comprises a first hot salt tank, a hot salt pump, a reheater, a superheater, an evaporator, a preheater and a second cold salt tank. The heat absorption fused salt circulation path comprises a first cold salt tank, a first cold salt pump, a line focusing photo-thermal mirror field and a second hot salt tank; the second hot salt tank is connected with the first hot salt tank, the second cold salt tank is connected with the first cold salt tank, and the first cold salt tank is connected with an electric heater; the line focusing photo-thermal mirror field is connected with a salt dredging tank, and the salt dredging tank is connected with the first cold salt tank. According to the line focusing photo-thermal storage integrated power generation system with the structure, decoupling independent operation of the line focusing photo-thermal mirror field and the energy storage unit is achieved, and economic benefits are improved.

The invention relates to the technical field of gluing printing, in particular to a high-temperature-resistant insulating protective film gluing printing technology which comprises a PET film and a PI film, the PET film and the PI film are connected through UV gluing, and the high-temperature-resistant insulating protective film gluing printing technology is implemented through gluing printing equipment. The PET film and the PI film are connected through the UV gluing technology, the PET film is known as good mechanical strength and weather resistance, the PI film has high temperature resistance and insulation performance, the high-temperature-resistant insulation protective film is obtained through combination of the PET film and the PI film, and the stability in the electrical insulation and high-temperature environment is excellent. In addition, PI has the characteristic of high temperature resistance, PET has the characteristic of insulation, and the PI film and the PET film are tightly laminated through UV glue coating, so that the product has the double-layer characteristics of fire prevention and insulation.

The invention discloses a method and a device for determining a safety state index of a battery pack and electronic equipment. The method comprises the following steps: acquiring battery data of a battery pack; determining a plurality of feature items used for evaluating the safety state of the battery under the environment parameters; determining a feature sequence according to the subjective evaluation data corresponding to the plurality of feature items; determining information utility values respectively corresponding to the plurality of feature items according to the plurality of feature values respectively corresponding to the plurality of feature items; determining subjective weights respectively corresponding to the plurality of feature items according to the feature sequence, and determining objective weights respectively corresponding to the plurality of feature items according to the adjustment coefficient item and the information utility value; and determining the safety state index of the battery pack according to the subjective weight, the objective weight and the plurality of feature values. The technical problem that the safety state of the battery pack cannot be accurately detected when the safety state of the battery pack is detected in the prior art is solved.

The invention discloses a 3D printing real model rendering method based on variable granularity, and belongs to the technical field of 3D rendering. The method comprises the steps that 3D printing parameters and the number of layers of a printed object are obtained, and the 3D printing parameters comprise 3D printing head parameters and 3D printer parameters; carrying out single-layer modeling on a printed object on the basis of 3D printing parameters and an interval adjusting strategy; based on a multi-layer fusion strategy, surface elements of each layer of the printed object are obtained; obtaining a body element set of the printed object based on the surface element of each layer of the printed object and the same region principle; based on the body element set of the printed object, constructing a 3D model library; based on the 3D model library and the secondary rendering strategy, the real model of the printed object is rendered, and the method improves the speed and authenticity of 3D rendering.

The invention provides a PEDV (porcine epidemic diarrhea virus) N protein monoclonal antibody as well as a preparation method and application thereof, and the method comprises the following steps: performing prokaryotic expression on PEDV N protein, and purifying to obtain the PEDV N protein; emulsifying the purified PEDV N protein and an isopyknic Freund's adjuvant, injecting the emulsified PEDV N protein into 8-week-old female BALB / c mice at multiple points, and immunizing once every two weeks; the method comprises the following steps: uniformly mixing splenocytes of a mouse subjected to boosted immunization for 3 days with SP2 / 0 cells in a logarithmic phase according to a ratio of 5: 1, carrying out cell fusion under the action of PEG 1500, and culturing a fused cell mixed solution by using an HAT culture medium; screening out positive pores with strong antibody secretion capacity by adopting an indirect ELISA (Enzyme-Linked Immunosorbent Assay) method, and carrying out subcloning by adopting a limited dilution method to obtain six cell strains for secreting antibodies; the PEDV N protein mAb is prepared by adopting an in-vivo ascites inducing method. The prepared PEDV N protein monoclonal antibody can be specifically and efficiently combined, and can be used as an antibody tool for researching PEDV virus infection and anti-infection mechanisms.

The application provides an optical element surface simulation method based on a physical information neural network, relates to the technical field of element design and simulation, and comprises the following steps: constructing a feedforward neural network; generating a deformation control equation model library; constructing a three-dimensional simulation database; forming a machine learning parameter library; training a PINN deformation simulation model in combination with the deformation control equation model library, the three-dimensional simulation database and the machine learning parameter library; screening out a target PINN deformation simulation model meeting preset conditions; inputting design parameters, support structure parameters and given external load parameters of different combinations into the target PINN model to obtain key performance prediction results of the optical element; the application can not only quickly evaluate the key performance of the element under various parameter combinations, shorten the design iteration cycle and reduce the trial and error cost, but also provides direct data support for support structure optimization design, and effectively solves the bottleneck problem of the traditional method in restricting the research and development efficiency of a high-precision optical system.

The invention belongs to the technical field of functional microorganism application, and particularly relates to a novel lipid-lowering peptide derived from a probiotic thallus and application thereof, the novel lipid-lowering peptide is a crushed substance derived from a probiotic lactobacillus plantarum thallus, and the molecular weight of the novel lipid-lowering peptide is less than 3kDa. And two key polypeptides APGFGDR (AP7) and TESGAFGR (TE8) are identified from the components, and can specifically inhibit the activities of pancreatic lipase and pancreatic cholesterol esterase. The extracted thallus peptide can be efficiently combined with cholate to inhibit the formation of cholesterol micelles, and has a remarkable inhibiting effect on pancreatic lipase and pancreatic cholesterol esterase. Animal experiments show that the mycopeptide can effectively improve lipid metabolism disorder induced by high fat diet, inhibit weight gain, reduce serum and liver lipid levels and relieve fatty degeneration and inflammation of the liver. The lipid-lowering peptide disclosed by the invention is high in safety and multi-target in action, and can be used for preparing functional products for preventing or treating metabolic diseases such as obesity, hyperlipidemia and the like.

The application provides a polymer derivative for aldehyde group removal, a preparation method and application thereof, and the preparation method comprises the following steps: mixing and reacting a polymer with a Boc-protected oxylamine compound, and then removing Boc to obtain the polymer derivative. The polymer derivative provided by the application can effectively remove acetaldehyde, fundamentally realizes the effect of alcohol elimination, and has a huge potential application scene in various situations such as alcohol elimination.

This invention relates to the field of port data processing, and more particularly to a green port energy digital management platform based on digital twins. When constructing the digital twin, this invention utilizes an incremental synchronization mechanism and spatiotemporal event identifiers to ensure that the green port energy digital management platform only transmits incremental data that has changed. This not only saves on expensive cloud resources and dedicated line bandwidth costs, but also allows the green port energy digital management platform to maintain smooth operation even when dealing with massive amounts of data. Furthermore, through the incremental synchronization mechanism, this invention ensures that the green port energy digital management platform only updates the digital twin when changes occur, and combined with an efficient event bus, latency is drastically reduced from minutes to seconds.

The present invention relates to the technical field of enzymatic extraction of functional peptides, and more particularly to a method and application thereof for extracting hypoglycemic active peptides from sheep bones, S1: bone residue is prepared; S2: bone powder is prepared; S3: first defatting treatment is carried out with a composite degreasing agent, and the composite degreasing agent is mixed by food-grade lipase and sodium glycocholate according to a mass ratio of 1: (0.1-0.15); S4: second defatting treatment is carried out with anhydrous ethanol; S5: enzymolysis treatment is carried out to the obtained defatted bone powder B in sequence by the first protease and the second protease, and the first protease is collagenase, and the second composite protease is mixed by aminopeptidase and serine protease according to a mass ratio of 1: (1-3); S6: after the obtained active peptide suspension is de-enzymed, centrifuged and freeze-dried, hypoglycemic active peptides are obtained. The present invention uses sheep bones as raw materials for the first time, and is efficiently extracted with small molecule hypoglycemic active peptides through secondary defatting and two protease segmented enzymolysis treatments.

The invention belongs to the technical field of hyper-parameter optimization, and provides a universal machine learning hyper-parameter black box optimization system and method, and the system comprises a hyper-parameter optimization client which is used for submitting an optimization request; the hyper-parameter optimization service system is used for processing a received client request; the optimization algorithm configuration component is used for configuring a hyper-parameter optimization algorithm; the automatic stopping component is used for stopping the meaningless training set; the hyper-parameter optimization control panel is used for management configuration, scheduling monitoring, user management, authority management and system setting; according to the method, the optimal hyper-parameter combination can be quickly found, and the hyper-parameter tuning efficiency and accuracy are remarkably improved; compared with a traditional manual tuning method, the method has the advantages that time and labor cost are greatly saved, interference of human factors is avoided, and the tuning result is more objective and reliable.

The application relates to a synergistic liquid antioxidant containing chicken-derived active peptides and phospholipids, and relates to the technical field of food additives or health products. The antioxidant comprises the following components in parts by weight: chicken-derived active peptides 2-10%; phospholipids 0.5-5%; stabilizers 0.1-2%; water 60-90%; and the weight ratio of the chicken-derived active peptides to the phospholipids is (2-6):1. By compounding the chicken-derived active peptides and the phospholipids in a specific ratio, the two can form a stable emulsification system and produce a significant antioxidant synergistic effect, effectively eliminating free radicals and inhibiting lipid peroxidation. Meanwhile, the liquid antioxidant has good stability and high bioavailability, can be widely applied in oils, pet foods, oil-containing foods, feed products and cosmetics, and can replace traditional synthetic antioxidants.

The invention relates to a video generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a plurality of video materials and theme style instructions, identifying content attributes of the video materials, and generating a video script conforming to the theme style instructions based on the content attributes of the video materials; in the content attributes contained in the video script, determining missing content attributes not contained in the plurality of video materials; selecting complementary video materials corresponding to the missing content attributes from a standby material library, and filling the complementary video materials among the video materials according to a content attribute sequence contained in the video script to obtain a target material sequence; and generating a target video according to the target material sequence. By adopting the method, a plurality of sections of unrelated video materials can be efficiently combined into the target video in the theme style.

The present invention discloses a SPICE circuit netlist generation method for auxiliary circuit parameter optimization. By setting a set of SPICE .option statements, a set of configurations is performed on the simulation process. By default, a set of option statements is used here, which can only perform circuit feasibility inspection before parameter optimization, not check the circuit structure during the parameter optimization process, not generate simulation graphic files, and minimize simulation time. After the optimization is completed, a waveform file is generated and displayed. Under the set rules, users can also configure and set component libraries according to their own needs, and can select component libraries used by users. The SPICE circuit netlist generation method for auxiliary circuit parameter optimization can construct a reasonable SPICE simulation process through this method after determining the structure of the circuit, and then optimize the circuit simulation model through multiple optimizers to find the optimal circuit parameter combination.

The invention relates to biomass-based degradable leather and a preparation process thereof, and belongs to the technical field of environment-friendly polymer composite materials. The leather is prepared from the following components: 30 to 60 parts of biodegradable polyester, 15 to 30 parts of surface modified natural fiber, 5 to 15 parts of castor oil-based silanization fatting agent, 3 to 10 parts of bio-based plasticizer, 5 to 20 parts of biomass filler, 1 to 5 parts of bio-based cross-linking agent, 0.5 to 3 parts of foaming agent, 0.5 to 2 parts of lubricating agent and 0 to 3 parts of functional additive. The preparation method is characterized in that a castor oil-based silanization fatting agent with a hydrolyzable siloxane group at the tail end is adopted to form covalent bond combination with fibers; constructing a three-dimensional network structure by using a citric acid-polyol bio-based cross-linking agent; and uniform micropores are formed through a pressure relief foaming process. The obtained product has excellent mechanical properties, soft and breathable hand feeling and complete biodegradability, and solves the problems of weak interface bonding and insufficient performance of the existing bio-based leather material.

This utility model relates to the field of new materials technology for clothing, specifically a three-layer double-sided adhesive, comprising a high-temperature TPU, a low-temperature TPU, and a glassine paper. A layer of low-temperature TPU is disposed on both the top and bottom of the high-temperature TPU, with the bottom layer of low-temperature TPU attached to the glassine paper. The thickness of the high-temperature TPU is 0.03mm–0.05mm, the thickness of the low-temperature TPU is 0.02mm–0.04mm, and the thickness of the glassine paper is 0.07mm–0.09mm. This utility model, through the combination of high and low-temperature TPU, allows for quick bonding to sportswear. It provides a certain level of support strength while facilitating bonding. Furthermore, the material is soft, resistant to washing at certain temperatures, and has a high softening temperature, making it particularly suitable for use in high-intensity sportswear.

The present invention provides a spatial voltage vector model predictive control method and system for an APF, the method comprising: establishing a neutral point voltage balance index, a zero-sequence current compensation index and a load harmonic compensation index of an NPC three-level APF, and constructing a hierarchical analysis evaluation framework for an APF spatial voltage vector. The index performance of 27 spatial voltage vectors of the NPC three-level is classified and evaluated through the hierarchical analysis evaluation framework, and the spatial voltage vectors include: a long vector, a middle vector, a short vector and a zero vector. The spatial voltage vector combination is reconstructed according to the comprehensive evaluation of the classified index performance of the spatial vector, and a spatial voltage vector model suitable for APF harmonic control is obtained, and the optimal switch combination state is predicted, and then the output current prediction value corresponding to each switch state is calculated. The value function of the neutral point voltage balance is calculated according to the predicted value, and the optimal voltage vector is obtained after multiple cycles. The present invention can improve the control efficiency of the APF.

The present invention relates to a vent type thin-walled square box hoisting device and construction method, the device comprises a load-bearing frame, a plurality of hanger beams and a plurality of groups of hangers, the plurality of hanger beams are installed on the load-bearing frame, the hangers are detachably installed under the hanger beams; each hanger comprises a hook, a hanger tube and a tray from top to bottom; both ends of the hanger tube are provided with buckles protruding in the diameter direction, the center of the tray is opened and provided with a buckle groove matching the shape and size of the buckle; the length of the buckle is less than the central hole diameter of the thin-walled square box, the outer diameter of the tray is greater than the central hole diameter of the thin-walled square box, and the hanger beams and the buckles can be connected to the hooks. The present invention can effectively combine the two processes of hoisting and preliminary installation and positioning of thin-walled square boxes; and by hanging a plurality of hanger beams on the load-bearing frame, each hanger beam hangs a multi-layer hanger to realize the synchronous hoisting of large quantities of thin-walled square boxes.

This utility model provides a marine seat and a ship, relating to the field of storage technology. The marine seat includes a seat body, a storage compartment, a first locking member, and a second locking member. The seat body has a receiving cavity and an opening communicating with the receiving cavity. The storage compartment is used to store life-saving equipment and slides into or out of the seat body, engaging with the cavity wall. It is understood that this design integrates the life-saving equipment storage function into the seat body, achieving an efficient combination of function and space. Based on this, the first locking member and the second locking member are respectively located in the seat body and the storage compartment. Furthermore, when the storage compartment is fully slid into the receiving cavity, the first locking member can lock with the second locking member. Based on the above, this marine seat can solve the space-consuming problem of traditional storage cabinets, improve the space utilization of ships, and alleviate the inconvenience of accessing life-saving equipment in emergencies, enhancing the safety and efficiency of emergency response.

The invention discloses a preparation method of a high-salt-resistant wastewater COD (Chemical Oxygen Demand) degradation complex microbial inoculant. According to the invention, a microbial agent is customized according to the characteristics of the wastewater to realize the targeted treatment of target pollutants, and the provided high-salt-resistant wastewater COD (Chemical Oxygen Demand) degradation composite microbial agent is composed of Acinetobacter sp., Comamonas sp. And Bacillus cereus. The research shows that the complex microbial inoculant obtained by mixing the strains Acinetobacter sp., Comamonas sp. And Bacillus cereus with the concentration of 1-10 * 10 < 9 > CFU / mL according to the volume ratio of (0.5-2): (0.5-2): (0.5-2) can achieve the effects that the sewage treatment load is increased by 30% or above, the consumption of an external carbon source is reduced by 20%, the tolerable salinity reaches 5% or above, and the structure does not need to be changed in a biological treatment unit of high-salinity and high-COD wastewater.

The invention belongs to the technical field of agricultural organic waste resource utilization, and discloses a method for preparing an efficient organic fertilizer based on mixed fermentation of sheep manure and fire-holding plant ash. The method comprises the following steps: taking fresh or preliminarily dried and crushed sheep manure and active plant ash which is just extinguished after sufficient combustion of biomass and still keeps waste heat of 40-80 DEG C as raw materials, quickly and uniformly mixing the two raw materials, adjusting the water content of the material to 50-60%, adding a fermentation inoculant, and building a pile; and controlling the pile body to ferment at a high temperature of 55-70 DEG C for 5-7 days, cooling and thoroughly decomposing, and ventilating and aging for 1-2 weeks to obtain the high-efficiency organic fertilizer. The synergistic effect of waste heat of fire-holding plant ash and strong alkalinity is utilized, rapid insect killing and sterilization are achieved, organic acid is neutralized, nutrients are activated, the air permeability of a pile body is improved, and the fermentation period is remarkably shortened; the worm egg killing rate of the prepared organic fertilizer is greater than 99%, the content of available phosphorus and available potassium is greatly increased, efficient resource utilization of agricultural wastes is realized, and the requirements of green circular agriculture development are met.

The utility model relates to the technical field of indoor lighting, in particular to a table lamp structure which comprises a lamp holder, a fixing frame, a fixing ring, an adjusting rod and a light-emitting assembly, the adjusting rod is arranged on the lamp holder through the fixing ring and the fixing frame, the light-emitting assembly is arranged at one end, away from the lamp holder, of the adjusting rod, and the light-emitting assembly comprises a lampshade, a lamp cup, a lamp panel and an optical light-emitting plate. The lamp cup, the lamp panel and the optical light-emitting plate are all arranged in the lampshade, the lamp panel is arranged between the lamp cup and the optical light-emitting plate, the lamp cup is located above the optical light-emitting plate, a driving IC is integrated in the lamp holder, the lamp holder is round, and an operation button and a first fillet structure are arranged on the lamp holder. In this way, the technical problems that in the prior art, an existing LED table lamp is complex in production process, high in manufacturing cost and incapable of being customized according to the requirements of customers are solved.

Disclosed are a management method, device and system applied to a goods-to-person system. The disclosure relates to the field of logistics automation, wherein the management method applied to the goods-to-person system comprises: in response to a task of putting products on shelves, calculating popularity of a product to be put on shelf according to historical sales order data of the product to be put on shelf, and matching the popularity of the product to be put on shelf with popularity of a shelf to determine a shelf area; selecting a goods location with space randomly in the determined shelf area, wherein the goods location is used for storing the product to be put on shelf; and controlling a mobile robot to transport a shelf where the goods location is located to a work station.

The present invention provides a method and system for detecting a salient target by fusing edge features, wherein the method comprises: using a backbone network to process an image to obtain edge features and multiple groups of salient features; using a self-attention group pixel fusion module to process edge features and salient features to obtain salient edge features and salient target features; using a pooling model to process salient features to obtain global salient features; using a bidirectional feature fusion module to fuse salient edge features, salient target features and global salient features to obtain detection results. The method and system for detecting a salient target by fusing edge features of the present invention are specifically used for salient target detection, have the ability to self-optimize information within a layer, and improve the prediction accuracy of salient target detection tasks by effectively utilizing the complementarity between salient edge information and salient target information.

This invention discloses a UV-curable coating composition, its preparation method, and its application. The UV-curable coating composition includes a UV-curable primer and a UV-curable topcoat. The UV-curable primer is composed of polyurethane acrylate resin, a first acrylate monomer, a photoinitiator, an adhesion promoter, and a wetting and leveling agent in a specific ratio, and after curing, it forms a coating with strong adhesion on a nickel-plated substrate. Furthermore, by optimizing the formulation of the UV-curable topcoat, it promotes efficient bonding between the topcoat and primer when used in conjunction with the primer, imparting excellent insulation properties to the coating. The UV-curable coating composition provided by this invention can form a composite coating with strong adhesion, excellent insulation properties, and high stability on the surface of a nickel-plated substrate. Its adhesion performance is grade 1 or higher, and it passes voltage resistance and electrolyte resistance tests. Even after aging under double 85 conditions for 1000 hours, it still maintains excellent adhesion and insulation stability.

The invention discloses a multi-beam pulse yellow external laser system, which comprises a first light path, a second light path and a third light path. The first light path is composed of a pumping source, a laser crystal and a rear cavity mirror, and the laser crystal and the rear cavity mirror are connected through a pumping coupling system. The second light path is used for converting the fundamental frequency light into frequency doubling light, the light beam is divided into a plurality of small light beams through a micro-lens array A, the small light beams are focused to different positions of the sum frequency crystal through a wavelength conversion module, and multiple beams of pulse yellow laser are generated in the sum frequency crystal; the spectroscope reflects the fundamental frequency light and transmits the frequency doubling light and the finally generated yellow laser; an incident parallel light beam is divided into a plurality of small light beams through a micro lens array A, the small light beams are focused to different positions of a sum frequency crystal, and a plurality of pulse yellow laser beams are directly generated in the sum frequency crystal; the multi-beam laser can be used for multi-point simultaneous processing, the multi-beam laser can realize faster and finer material processing, and the processing efficiency is greatly improved.