1268results about How to "Promote generation" patented technology

The invention relates to the technical field of business adaptation, in particular to a business adaptation degree intelligent analysis method and system combined with a customer portrait. The method comprises the following steps: firstly, collecting customer data from a plurality of data sources, then processing the collected data, extracting interest labels of customers, constructing a customer-interest label matrix, comprehensively evaluating the purchase ability and loyalty of the customers, updating the portraits of the customers according to the interest preferences of similar customers, and then collecting the business demand data of the customers. The method comprises the following steps: constructing a business demand model, quantifying the demand intensity of a customer, generating a demand score vector, matching a customer portrait with the demand score vector, calculating an adaptation degree score, generating personalized recommendation for the customer, preferentially recommending a product or service with the highest matching degree with the customer demand, and pushing related recommendation through multiple channels. And the satisfaction degree and the conversion rate of customers are improved. According to the invention, the resource utilization efficiency and the customer satisfaction are improved, so that more efficient enterprise operation and customer service are realized.

The invention discloses a radiology report generation method based on semantic alignment, and belongs to the technical field of radiology report generation. The radiology report generation network constructed by the invention comprises a multi-scale feature extraction module, a cross-modal semantic alignment module and a Transform report generation module which are connected in sequence; the multi-scale feature extraction module comprises a convolutional neural network and a multi-scale local sparse attention module which are connected in sequence; the cross-modal semantic alignment module comprises an embedded layer, a multi-head attention module and a gating fusion module, wherein the multi-head attention module and the gating fusion module are connected with the embedded layer. The input end of the multi-head attention module and the input end of the gating fusion module are connected with the output end of the multi-scale local sparse attention module. The predicted radiology report generated by the radiology report generation method is good in quality.

The invention provides a rail transit platform door multilayer architecture intelligent operation and maintenance and predictive maintenance method and system, and relates to the technical field of intelligent operation and maintenance, and the method comprises the steps: obtaining platform door operation parameters through a multilayer data collection system, and generating health state feature vectors; inputting the feature vectors into a deep neural network, and constructing a fault prediction model; based on the prediction result, a decision tree algorithm is adopted to evaluate the maintenance priority, and an intelligent maintenance scheme is generated; and pushing an instruction to maintenance personnel through the mobile terminal, and feeding back an optimization model by using new data to realize self-adaptive adjustment of a maintenance strategy.

The invention discloses an automatic driving test scene generation framework and generation method, and the method comprises the steps: a road network generator is used for obtaining a node file and an edge file generated by a multi-modal large language model based on prompt word engineering and scene description, inputting the node file and the edge file into a traffic simulation tool, and obtaining a road network file synthesized by the traffic simulation tool; the vehicle generator is used for acquiring a plurality of initial vehicle models generated by the multi-modal large language model based on prompt word engineering and scene description, inputting the initial vehicle models into a traffic simulation tool, and acquiring a vehicle model generated after the traffic simulation tool adds a path file for each initial vehicle model; and the scene generation module is used for integrating the road network file and the plurality of vehicle models, obtaining an automatic driving test scene, building a bridge for interactive use of the multi-modal large language model and a traffic simulation tool, and constructing a traffic simulation mechanism of the multi-modal large language model based on a prompt project. A customized, real, reliable and targeted automatic driving test scene can be generated.

The invention discloses a complex terrain wind field numerical simulation method considering turbulence anisotropy, and the method comprises the steps: considering the turbulence anisotropy of an inflow boundary, and determining the condition type and parameters of the inflow boundary; acquiring ground roughness information of the complex terrain, and correcting a wall surface function; obtaining high-precision topographic data, determining a computational domain range, and generating a computational domain grid; on the basis of an inflow boundary turbulence retentivity principle and a leeward slope flow separation characteristic, a turbulence model closing coefficient is corrected; and the corrected linear pressure strain RSM model is adopted to simulate a complex terrain wind field value, and complex terrain wind field flow field information is obtained. According to the method, the inlet boundary and leeward slope turbulence anisotropy are considered, the wall function is corrected, meanwhile, the complex terrain modeling and grid generation mode is simplified, and the simulation precision is effectively improved.

The invention discloses an intelligent question answering system and method for cross-domain knowledge reasoning, and relates to the technical field of intelligent question answering. In order to solve the problem that an existing intelligent question answering system is limited by technical shortages and cannot give satisfactory reply to a user in cross-domain question processing, the adopted scheme comprises the steps that a domain knowledge base construction module collects multi-domain knowledge data, and the multi-domain knowledge data is stored in a corresponding domain vector knowledge base after being preprocessed and vectorized; the user interaction module provides an interface, receives input, interacts and returns a result; the field identification module identifies the field and extracts key information by using a large language model; the knowledge retrieval module retrieves related information accordingly; the cross-domain knowledge reasoning module is used for reasoning a knowledge logic relationship of each domain and guiding a large language model to integrate fused knowledge; and the intelligent question-answering module generates prompt words, inputs the prompt words into the large language model to obtain a final response, and returns each result to the user interaction module for display. According to the method, knowledge from multiple fields can be processed, and the method is suitable for various different types of problems and scenes.

The invention discloses a vascularized immune co-culture organoid chip for simulating a tumor microenvironment. The vascularized immune co-culture organoid chip comprises a chip main body and a bottom plate, a flow channel and a liquid storage tank are arranged in the chip main body; the runners comprise a first runner, a second runner, a third runner and a fourth runner; a compartment is arranged in the middle of the third flow channel; the first flow channel is connected with a first liquid storage tank which is used for injecting a first hydrogel suspension obtained by mixing fibroblasts and hydrogel into the first flow channel; the second flow channel is connected with a second liquid storage tank for injecting a culture solution into the second flow channel; a compartment is arranged in the middle of the third flow channel; the third flow channel is connected with a third liquid storage tank communicated with the compartment, and the compartment is connected with a compartment liquid storage tank; the compartment liquid storage tank is used for injecting a second hydrogel suspension obtained by mixing tumor organs and hydrogel into the compartment, and the third liquid storage tank is used for injecting hydrogel into the third flow channel; and the fourth flow channel is connected with a fourth liquid storage tank for injecting vascular endothelial cell and immune cell suspension into the fourth flow channel. The invention further discloses a vascularized immune co-culture organoid culture method for simulating the tumor microenvironment.

The invention discloses a method for constructing an image super-resolution generation model. The method comprises the following steps: constructing a mixed data set containing various types of images; preprocessing the images in the mixed data set to obtain initial low-quality images and corresponding image text descriptions; determining a first initial learning framework, and generating a corresponding high-quality reference image according to the preprocessed initial low-quality image; training the first initial learning framework to obtain a first-stage repair model; determining a second initial learning framework, and generating a high-resolution image according to the random noise-added original image, a high-quality reference image generated by the first-stage repair model and image text description prediction; and training the second initial learning framework to obtain a target second-stage image super-resolution generation model. According to the method, a two-stage network framework model is designed and developed based on a potential diffusion model, rich prior of the diffusion model is utilized, and the generalization ability of the model is greatly improved.

The invention discloses a small sample learning method and system based on data enhancement. Collecting electric power operation and maintenance text data from a plurality of data sources, preprocessing and labeling the data, and constructing an electric power field corpus; performing fine tuning on a predefined pre-training language model by using the power field corpus, training power field word vectors and entity vectors from the power field corpus, and fusing the power field word vectors and entity vectors into the pre-training language model; performing named entity recognition and multi-task learning of power operation and maintenance knowledge based on a pre-training language model, constructing a multi-task adversarial learning model in combination with an adversarial learning algorithm, training the multi-task adversarial learning model by adopting multiple data enhancement strategies, and performing data prediction through integrated learning and self-training by utilizing the multi-task adversarial learning model; and evaluating a model prediction result, and dynamically adjusting the weight of each data enhancement strategy based on an evaluation result. The small sample learning performance is improved.

The invention relates to the field of biomedical materials, in particular to a novel composite collagen material for wound repair, and particularly relates to a preparation method of the novel composite collagen material containing 21-type recombinant humanized collagen (ColpepA1 21) and application of the novel composite collagen material in wound repair. The ColpepA1 21 is used for remarkably promoting key biological reactions in the wound healing process, including accelerating cell migration, enhancing the skin hydration state and barrier function and improving the stability and elasticity of the skin structure, a novel composite collagen material is developed, wound healing and cell regeneration can be effectively promoted, and oxidative damage can be relieved.

The invention discloses a mobile game scene interaction intelligent optimization method based on a generative adversarial network, and aims to improve the game experience of players. Comprising the following steps: S1, collecting behavior data and interaction information of a player in a mobile game, and generating a preliminary behavior feature model; s2, constructing a generative adversarial network model; s3, generating diversified game scene interaction examples according to the trained generator; s4, evaluating and optimizing the generated scene interaction example by using a discriminator; s5, real-time feedback of the player is received, and the behavior feature model of the player is updated; s6, dynamically adjusting a generation strategy based on the updated behavior feature model, and optimizing a scene interaction effect; s7, environment data are integrated, scene interaction is optimized in real time, and the immersion of players is enhanced; and S8, providing user-defined scene interaction options for the players, and allowing the players to adjust according to personal preferences. The interactive experience and game fun of players can be effectively improved.

The invention discloses a firming and anti-wrinkle composition, face cream and a preparation method of the face cream, and particularly belongs to the field of preparations for dressing and makeup. The firming and anti-wrinkle face cream comprises a firming and anti-wrinkle composition, composite polypeptide, recombinant collagen, a skin conditioner and the like, and the firming and anti-wrinkle composition comprises a leontopodium alpinum flower / leaf extract, a peach resin extract, a radix gentianae extract and a trollius chinensis bunge extract. The composite polypeptide is at least two of palmitoyl tripeptide-1, palmitoyl tetrapeptide-7, acetyl hexapeptide-8 and palmitoyl hexapeptide-12, and the recombinant collagen is at least one of recombinant XVII type collagen, recombinant I type collagen, recombinant IV type collagen, recombinant V type collagen and recombinant VII type collagen. The firming and anti-wrinkle face cream provided by the invention can effectively improve the elasticity value of skin, can remarkably improve the firming degree of the skin, and has excellent anti-wrinkle and anti-aging effects.

The invention discloses a hot-rolled high-weather-resistance steel plate with extremely low yield ratio and 850 MPa-grade tensile strength as well as a manufacturing method and application of the hot-rolled high-weather-resistance steel plate. The steel plate comprises chemical components in percentage by weight as follows: 0.06%-0.08% of C, 0.40%-0.60% of Si, 0.40%-0.60% of Mn, smaller than or equal to 0.015% of P, smaller than or equal to 0.005% of S, 2.50%-3.00% of Cr, 0.25%-0.30% of Cu, 0.13%-0.15% of Ti, 0.020%-0.040% of Alt, smaller than or equal to 0.0040% of N, smaller than or equal to 0.0030% of O and the balance of Fe and inevitable impurities. The high Cr + high Ti design is adopted, the tensile strength reaches 850 MPa, the weather resistance index I value is larger than or equal to 8.0, addition of precious metal Ni is omitted, the addition amount of the strong hardenability element Cr in the steel exceeds 2.50%, a fine grain ferrite and bainite double-phase structure is obtained in combination with the controlled rolling and controlled cooling process, meanwhile, the precipitation strengthening and fine grain strengthening effects of Ti are fully exerted, control over high strength and the extremely-low yield ratio smaller than 0.65 is achieved, and the high-strength and low-yield-ratio steel is obtained. The forming performance is excellent, the corrosion rate is smaller than 40% relative to Q345B, and good atmospheric corrosion resistance is achieved.

The embodiment of the invention discloses a discrete voice coding method, electronic equipment and a storage medium, and the method comprises the steps: constructing a voice input and frequency spectrum output VAE, enabling the input voice to have speaker tone disturbance, and enabling the VAE structure to be used for multi-task learning; vector quantization is carried out on the VAE, and a VQ-VAE is initialized, so that a quantization layer is added to continue to reduce an information bottleneck; and additionally training a vocoder, and carrying out waveform reconstruction by starting from the code obtained in the VQ-VAE.

The invention provides a video generation method and device, electronic equipment and a computer readable storage medium, and can be applied to the technical field of artificial intelligence and computer vision. The method comprises the steps that a scene prompt text is generated according to a video content description text input by a user, and the scene prompt text is used for limiting a generation scene of a video; inputting the scene prompt text into the large language model, and outputting at least one video split text; determining a video clip matched with each video split text from a database according to the keyword of each video split text; and generating a target video matched with the video content description text according to the video split text and the at least one video clip.

The invention belongs to the technical field of plant tissue culture, and particularly relates to a tissue culture and rapid propagation culture medium and a tissue culture and rapid propagation method for culturing Shaniodendron subaequalis. The invention provides a tissue culture and rapid propagation culture medium and a tissue culture and rapid propagation method for culturing Shaniodendron subaequalis. Kinetin KT (Kinetin) in the tissue culture and rapid propagation culture medium provided by the invention can promote the generation of buds and the growth of adventitious buds. 6-BA is 6-benayl aminopurine and is used for promoting the growth of buds; tDZ is thiabendazole, and growth and development of buds are promoted. Under the combined action of KT, 6-BA and TDZ, the bud induction rate and the bud multiplication coefficient of the stem with the bud are improved. The invention further provides a tissue culture and rapid propagation method of the Shaniodendron subaequalis, stem segments subjected to induction culture are low in pollution rate, high in survival rate and low in browning rate; the lateral bud induction rate of the stem section is as high as 91%, and the multiplication coefficient, the rooting rate and the transplanting survival rate are high.

The invention provides a composite exciting agent and application thereof, and relates to the technical field of exciting agents, and the composite exciting agent comprises an alkaline exciting agent, a calcium source exciting agent and an auxiliary exciting component. Industrial solid waste materials such as the slag, the fly ash and the steel slag can work cooperatively in the same system, the gelling performance, the mechanical strength and the durability of the material are remarkably improved, and the purposes of solid waste resource utilization and low-carbon environmental protection are achieved.

The invention relates to the technical field of orthodontics, and discloses a processing system and a processing method for a bracket-free invisible orthodontic tooth socket, and the processing system comprises a data collection and integration module which is used for collecting and integrating multi-source data, comprising collection approaches and specific operation processes of oral three-dimensional scanning data, basic information of a patient, clinical examination records, correction scheme records and correction result evaluation; the data standardization and cleaning module is used for carrying out format unification and cleaning on the collected data; and the feature extraction and labeling module is used for extracting tooth form and tooth space relation features from the oral cavity three-dimensional scanning data and labeling the malocclusion and occlusion relation in the oral cavity. The invisible orthodontic tooth socket is manufactured by collecting a large amount of multi-dimensional data including oral three-dimensional scanning data, patient clinical information, orthodontic process records, result evaluation and the like, and the moving path of each tooth in each orthodontic stage and the magnitude and direction of required orthodontic force are accurately predicted.

The invention relates to a penicillin fermentation process soft measurement method based on a supervisory gating circulation unit deep network, and the method comprises the following steps: obtaining a penicillin fermentation process data set through a database, and dividing the data set into a training set and a test set required by a soft measurement deep learning network according to a proportion; constructing a penicillin fermentation process soft measurement model based on a supervisory gating circulation unit deep network, and performing model training on the integrated data by using the model; the trained model is used for predicting the outlet concentration of the product in the penicillin fermentation process, and a corresponding prediction result is given accordingly. By adopting the method disclosed by the invention, the learning of the hidden state and the cell state of the gating circulation unit is guided by additionally using the quality information as the input of the two gates and the intermediate unit, so that the soft measurement modeling of the penicillin fermentation process is realized, and the prediction precision of the product concentration in the penicillin fermentation process is improved; powerful guidance is provided for better generation of the fermentation production process.

The invention discloses a method for hydrodechlorination and desiliconization of waste plastic oil, which comprises the following steps: removing Cl and Si elements from the waste plastic oil by using a slurry reactor under the action of a hydrogenation catalyst and hydrogen to finally obtain Cllt; 0.2 [mu] g / g, Silt; 1 [mu] g / g of a waste plastic oil product; the hydrogenation catalyst is a compound catalyst formed by an oil-soluble catalyst and a powder catalyst subjected to alkali treatment, and after recycling, the inactivated catalyst is subjected to roasting, primary alkali treatment, secondary alkali treatment and grinding and then regenerated to obtain the powder catalyst; therefore, the problems that in the removal process of Si and Cl elements in the waste plastic oil, catalytic materials, devices and equipment and product properties are affected, and hydrodechlorination and desiliconization catalysts are difficult to regenerate are solved.

The invention provides a large model connection context dialogue method based on an LSTM (Long Short-Term Memory) model, which belongs to the field of intelligent deep learning and comprises the steps of data preprocessing, input sequence coding, hidden state and memory cell initialization, decoding response generation, output sequence decoding, training and optimization, evaluation and adjustment. The method has high accuracy and response speed when processing a complex dialogue scene, and can be widely applied to the fields of intelligent customer service, intelligent assistants and the like.

The invention belongs to the technical field of cosmetics, and discloses a composition with tightening and anti-wrinkle effects as well as a preparation method and application thereof. The composition disclosed by the invention comprises the following components: a radix pseudostellariae extract and hydrolyzed ginsenoside. The radix pseudostellariae extract in the composition achieves the effects of tightening and resisting wrinkles by promoting generation of collagen and elastin, the hydrolyzed ginsenoside mainly has the effects of resisting oxidation, inhibiting expression of matrix metalloproteinase and preventing collagen degradation, and after the radix pseudostellariae extract and the hydrolyzed ginsenoside are combined, the composition has a better effect of inhibiting the activity of the matrix metalloproteinase, so that the effect of resisting wrinkles is achieved. The traditional Chinese medicine composition has the effects of promoting the generation of collagen and elastin, and has a synergistic effect, so that the traditional Chinese medicine composition has an excellent anti-aging effect.

The invention discloses a test question data generation method, electronic equipment, a storage medium and electronic equipment, and relates to the field of large model technology and text data processing. The method comprises the steps that in response to a first input instruction acting on an operation interface, a target document corresponding to the input instruction is displayed on the operation interface, and the target document comprises multi-modal data; in response to a conversion instruction acting on the operation interface, displaying target text data corresponding to the conversion instruction on the operation interface; in response to a second input instruction acting on the operation interface, a generation condition corresponding to the second input instruction is displayed on the operation interface, and the generation condition comprises at least one of a target type, a target difficulty level and a target dimension; and in response to a generation instruction acting on the operation interface, displaying the target test question data on the operation interface. The technical problem of low efficiency and diversity of test question data generation in related technologies is solved.

The invention provides a novel human-derived II-type collagen COLII-14K-H and a coding gene thereof, the coding gene is shown as SEQ ID NO.1, and the amino acid sequence is shown as SEQ ID NO.2. The invention further provides a preparation method of the novel human-derived II-type collagen COLII-14K-H. The invention also provides a preparation method of the human-derived II-type collagen COLII-14K-H and application of the human-derived II-type collagen COLII-14K-H in preparation of cartilage repair drugs, skin repair drugs and skin care products. The inventor-derived II-type collagen can obviously improve the gene expression level of the collagen, so that the content of the collagen in human dermal fibroblasts is improved, and the skin aging is delayed; meanwhile, the protein fragment can show a remarkable skin repairing effect at low concentration, provides a new treatment choice for skin repairing, and can be widely applied to the fields of skin repairing and nursing.

The invention provides a preparation method of a Fenton-like catalytic material for selectively removing phenolic pollutants, the Fenton-like catalytic material and application of the Fenton-like catalytic material, and belongs to the technical field of water treatment.The preparation method comprises the steps that light MgO is added into a copper nitrate solution to be stirred for a reaction, obtained precipitates are filtered, washed and dried, and copper hydroxide nanoparticles are obtained; dispersing the copper hydroxide nanoparticles in a cerium nitrate solution for hydrothermal reaction, and filtering, washing and drying the obtained precipitate to obtain a Ce (at) Cu (OH) 2-IE intermediate; and calcining the Ce (at) Cu (OH) 2-IE intermediate to obtain the Fenton-like catalytic material CC-IE. The prepared catalytic material can efficiently activate PMS to generate singlet oxygen, utilizes an oxidative polymerization mechanism to stably remove organic phenol pollutants in water, and has the advantages of high electron utilization rate, selective oxidation, non-free radical path degradation and high TOC removal rate.

The invention relates to the technical field of fertilizers, and discloses a fulvic acid fertilizer based on straw microbial fermentation and a preparation method and application thereof.The preparation method comprises the steps that straw is crushed and subjected to low-temperature plasma pretreatment, and pretreated straw is obtained; then, culturing the mixed microbial preparation to prepare a culture solution; then, the pretreated straw, a nutrient solution, a fermentation auxiliary agent and trichoderma are mixed for fermentation, and therefore a fermentation product is generated. The fermentation auxiliary agent is prepared from seaweed meal, bean flour, humus soil and molasses. And finally, carrying out solid-liquid separation on the fermentation product, and drying the separated solid part to finally obtain the fulvic acid fertilizer. Through combination of low-temperature plasma pretreatment and an innovative fermentation auxiliary agent, the preparation process of the fulvic acid fertilizer is optimized, the fertilizer efficiency of the fertilizer and the crop growth effect are improved, and meanwhile, the environment problem of agricultural waste is solved.

The invention relates to the field of cosmetics, and discloses an anti-wrinkle composition containing recombinant collagen as well as a preparation method and application of the anti-wrinkle composition. The anti-wrinkle composition is prepared by compounding I-type collagen peptide nano-micelles, recombinant humanized III-type collagen, recombinant humanized XVII-type collagen, glycosylglycerol and ceramide. The skin care composition has the advantages that multiple synergistic effects are achieved, collagen generation is promoted, the skin moisturizing capacity is enhanced, and the skin barrier is repaired, so that the elasticity, compactness and smoothness of the skin are remarkably improved. The product disclosed by the invention has the effects of skin barrier repair, anti-aging care, collagen protection, collagen generation promotion, water locking and moisturizing and the like, and is suitable for research, development and application of skin care products for resisting wrinkles, tightening and delaying senescence.

The invention discloses high-temperature and high-pressure filtrate reducer sulfonated asphalt for drilling fluid and a preparation method of the high-temperature and high-pressure filtrate reducer sulfonated asphalt, and belongs to the technical field of filtrate reducers. A comb-shaped side chain is introduced into a benzene ring of SEBS, the benzene ring is endowed with a comb-shaped structure, the structure strongly interacts with sulfonated asphalt, asphalt dispersion is optimized, agglomeration is avoided, 5-(2-hydroxyethyl) uracil is introduced, the oleophylic and hydrophilic characteristics are balanced, the acting force between asphalt particles is reduced, the reaction efficiency and uniformity of asphalt and fuming sulfuric acid are improved, and the sulfonated asphalt is prepared. The dispersant promotes uniform dispersion of asphalt, accelerates sulfonation reaction and improves sulfonated asphalt quality. The surface activity of the modified SEBS and the sulfonated asphalt form a net structure, so that the water solubility of the asphalt is enhanced, the drilling fluid is convenient to blend, the liquid surface tension is reduced, and the bubble formation condition is destroyed. A quaternary ammonium salt group is introduced, a well wall is stabilized by utilizing an opposite attraction principle, clay hydrophobicity is promoted, hydration and expansion are inhibited, and collapse is prevented. The modified sulfonated asphalt is resistant to temperature and pressure, good in filtration resistance and stable in filtration control at high temperature and high pressure.

The invention provides a tightening, anti-wrinkle and soothing multi-effect integrated functional lipstick. The tightening, anti-wrinkle and soothing multi-effect integrated functional lipstick is prepared from the following components in percentage by mass: 10 to 30 percent of modified polydimethylsiloxane, 0.1 to 2 percent of modified silicon dioxide, 1 to 10 percent of pentaerythritol tetraisostearate, 10 to 35 percent of an emollient, 0.01 to 20 percent of a skin conditioner and 0.1 to 50 percent of an auxiliary agent, wherein the modified polydimethylsiloxane is obtained by copolymerizing hexadecyl methacrylate, vinyl-terminated polydimethylsiloxane and methylacryloylated sodium alginate, and the modified polydimethylsiloxane and the methylacryloylated sodium alginate are co-polymerized; the modified silicon dioxide is obtained by reacting hydroxylated silicon dioxide with alkyl acid. According to the invention, ester groups, alkyl chain segments and the like are introduced into the modified polydimethylsiloxane, so that the modified polydimethylsiloxane has good compatibility with other components, the dispersity and stability of active components can be effectively enhanced, and the effects of tightening, resisting wrinkles, relieving and the like of the modified polydimethylsiloxane are improved.

The invention discloses a cerium oxide-based nano material for bone defect repair and a preparation method of the cerium oxide-based nano material. The cerium oxide-based nano material for bone defect repair is prepared by performing surface modification on cerium oxide-based nano enzyme, and the surface modification comprises introducing a targeting ligand and / or carbon quantum dots into the cerium oxide-based nano enzyme. The invention also discloses a cerium oxide-based composite bone scaffold. The cerium oxide-based composite bone scaffold is prepared by compounding the cerium oxide-based nano-enzyme and / or the cerium oxide-based nano-material and the bone tissue engineering material.