221results about How to "Realize the structure" patented technology

The invention relates to the field of natural language processing, and discloses an SQL statement generation method, system and device based on a large model. Respectively carrying out vectorization processing and document processing on the metadata and the metadata description text information from the database, and storing the metadata and the metadata description text information into a vector database and a full-text retrieval library; in response to the query instruction, respectively performing query matching on the vector database and the full-text retrieval library, screening matching results which are ranked in the front and are preset ranks according to the similarity from high to low, and determining an optimal SQL statement list and optimal metadata; on the basis of the current language of the query instruction, generating a cue word of the current language in combination with the optimal SQL statement list and the optimal metadata; the large model of the preset type is determined according to the language type of the cue word, the preset large model is called to conduct reasoning on the cue word, and the SQL statement is generated. Based on the large model and the generative AI technology, the accuracy of the generated SQL statement is improved, the use threshold of non-technical personnel is lowered, and the query efficiency of the SQL statement is also improved.

The invention relates to a PDF extraction method and system based on deep learning and layout analysis, and the method comprises the steps: obtaining a PDF file, carrying out the element recognition of a scanning version file and a text version file through an OCR technology and a deep learning model, and enabling the elements to comprise a text, a picture, a table and a formula; dividing a page of the PDF file into a plurality of logic blocks according to the identified elements, and determining a hierarchical relationship and a sequence; deleting elements without substantial help from the identified elements, and extracting the content of the document; performing page layout analysis according to the document content, and reordering and organizing each logic block to obtain a layout; document contents are classified and analyzed, and then classified storage is carried out; and according to user requirements, splicing the classified and stored document contents in a corresponding layout to generate a document in a target format. Compared with the prior art, efficient and accurate PDF extraction is achieved, and meanwhile the important structure and content of an original document are reserved.

The invention relates to the technical field of intelligent assistant systems, and discloses an intelligent assistant system and method based on an AI technology, and the system comprises a user interaction module, a knowledge graph module, a natural language processing module, and a reasoning and decision module. The user interaction module realizes input and output interaction with a user; the knowledge graph module constructs a multi-domain knowledge system; the natural language processing module uses a BERT model to understand user intentions; and the reasoning and decision-making module fuses rule reasoning and machine learning prediction to realize accurate response. Particularly, an index construction unit is arranged in the reasoning and decision-making module to improve the retrieval efficiency, a reasoning engine adopts a Markov logic network to carry out logical reasoning, and a decision-making optimization unit continuously optimizes a decision-making strategy through reinforcement learning. The AI technology is comprehensively applied, so that the knowledge coverage, the response accuracy, the logical reasoning ability and the decision intelligent level of the intelligent assistant system are remarkably improved, and more efficient and convenient intelligent assistant services are provided for users.

The invention belongs to the field of remote virtual rehabilitation training, and particularly relates to a remote rehabilitation management method and system based on virtual reality. The method comprises the steps that firstly, the current health condition, the expected rehabilitation target and the needed period of a rehabilitation patient are predicted through a comprehensive evaluation algorithm and machine learning, secondly, a personalized training plan is intelligently recommended from a virtual rehabilitation training strategy library according to an evaluation result, and in the training implementation process, a sensor continuously monitors physiological indexes and micro-expression response of the rehabilitation patient; the rehabilitation progress is analyzed and evaluated through real-time data and fed back to a training strategy library in time, the training intensity and period are dynamically adjusted, and it is ensured that training is closely matched with the actual health state of a rehabilitative person; by fusing electronic medical record processing, virtual reality technology, machine learning prediction and visual emotion recognition, precise and intelligent management of rehabilitation training is realized, and rehabilitation efficiency and experience are remarkably improved.

The invention relates to the technical field of bone implantation, and discloses a biomechanical evaluation method and system for a bone defect repair implant, and the method comprises the steps: constructing a human muscle-bone system biomechanical model and a three-dimensional digital model of the bone defect repair implant; through a finite element analysis method, the stress conditions of the bone defect repair implant in different gaits and movement modes are calculated, and the stress conditions of the implant in the actual service process are simulated; and calculating the performance of the implant under the simulated stress, and adjusting the design parameters of the implant. By combining dynamics calculation, bone regeneration process simulation, nano computed tomography image three-dimensional reconstruction and structure optimization, a bone repair implant biomechanical adaptability evaluation mechanism is established, and a comprehensive evaluation system integrating system dynamics calculation and bone healing process analysis is designed. The bone repair and regeneration process and the acting force change process are simulated, the effect of mechanical stimulation on bone regeneration is revealed, and comprehensive evaluation of the structure, the mechanical property, the environmental adaptability and the service life of the implant is achieved.

The invention provides a middle and primary school multi-person interactive teaching method and system based on a VR technology, and relates to the technical field of virtual reality, and the method comprises the steps: generating a model through deep learning based on pre-obtained teaching aid model data, determining subcomponents, combining a teaching aid generation engine, and constructing a virtual teaching aid; a color image and a depth image are obtained through a structured light depth camera, two-dimensional pixel coordinates are obtained, depth information is combined, a three-dimensional skeleton curve of limb movement of a student is generated, an optical motion capture result is obtained, an inertial motion capture result is obtained through inertial drift calibration based on the three-dimensional skeleton curve, and a limb movement three-dimensional track of the student is reconstructed; generating a force feedback signal by solving a kinetic equation through a collision detection algorithm based on the three-dimensional trajectory of the limb movement of the trainee; and rendering the virtualization model into a virtual teaching scene, synchronizing the limb movement three-dimensional track and the force feedback signal in real time, and generating a multi-person collaborative interaction process of the virtual teaching aid.

The invention discloses a multifunctional wind wave and flow coupling experiment platform, and belongs to the technical field of bridge engineering. The experimental platform comprises a wind power system and a water power system, the wind power system is of a two-layer structure, the upper layer is an unsteady wind tunnel, and the lower layer is a steady wind tunnel; the hydrodynamic system is located below the steady wind tunnel; the steady wind tunnel is of a sealed annular structure, and a fan, a first experimental section and a second experimental section are arranged in the steady wind tunnel; the unsteady wind tunnel is arranged above the second experiment section, and interaction windows A which are communicated with each other are formed between the unsteady wind tunnel and the steady wind tunnel; the hydrodynamic system is located below the second experiment section, and an interaction window B which is communicated with the steady wind tunnel is formed between the hydrodynamic system and the steady wind tunnel; the unsteady wind tunnel, the steady wind tunnel and the hydrodynamic system are communicated with one another through the two interactive windows. The experimental platform can simulate different coupling action environments of wind, waves and flows, and is used for testing the stability, reliability and durability of various ocean engineering structures and equipment.

The invention discloses a multivariable decision processing method and device, a storage medium and electronic device.The method comprises the steps that an initial multivariable decision rule system configured by a user side based on standard DSL grammar rule information is obtained, and the standard DSL grammar rule information is the DSL grammar rule information preset for a multivariable transaction decision development scene; determining all multivariable decision rule combinations corresponding to the initial multivariable decision rule system, determining a reference transaction job flow corresponding to the multivariable decision rule combinations, and constructing a multivariable combination instance library for the initial multivariable decision rule system, and performing engineering language conflict detection processing on the initial multivariable decision rule system based on the multivariable combination instance library to obtain a target multivariable decision rule system after conflict detection, and performing transaction operation process decision processing on the transaction data by adopting the target multivariable decision rule system.

The invention relates to the technical field of medical records, and particularly discloses an electronic medical record management system and method, and the system comprises a medical record input and management module, a privacy and safety module, a data analysis and mining module, an electronic prescription and management module, a real-time monitoring and notification module, and a remote access and communication module. The medical record input and management module is responsible for recording and managing medical record information of a patient, the privacy and security module is responsible for protecting privacy and data security of the patient and conforms to the HIPAA regulations, and the data analysis and mining module performs statistical analysis, trend analysis and predictive analysis by using medical record data; according to the method, the concept of data elements is applied, high-frequency word recommendation and a natural association mode are matched, full-structured input and storage of the medical records are achieved, the data mining process and construction of the medical knowledge graph are more convenient and faster based on full-structured medical record template configuration, then electronic medical records are better analyzed and managed, and the efficiency is improved. And clinical and hospital management departments are assisted to make medical decisions.

The invention discloses a coal mine production management knowledge question-answering method based on natural language processing, and the method comprises the following steps: S1, collecting environment data and user behavior data, and constructing a data set; s2, performing real-time processing on the data set; s3, constructing a user portrait by using a density-based spatial clustering algorithm; s4, constructing a knowledge graph, constructing a cognitive model by adopting a graph convolutional network and an improved Transform, and performing reasoning in combination with logistic regression and an XGBoost algorithm; s5, constructing an environment simulation model through historical data analysis; s6, generating a personalized natural language answer according to the user portrait, the knowledge graph and the environment state prediction; s7, collecting user feedback data, and adjusting model parameters and an optimization strategy by using an adaptive learning algorithm; and S8, storing the plan template by using a relational database, and continuously optimizing the plan template through historical data analysis. Natural language processing and deep learning are utilized, coal mine production management intelligent question answering is achieved, and the method has the advantages of being efficient and high in individuation.

The invention provides a positive electrode material as well as a preparation method and application thereof, and relates to the technical field of lithium ion batteries. The particle size distribution curve of the positive electrode material is bimodal distribution, the positive electrode material is composed of large-particle-size secondary spherical particles and small-particle-size secondary spherical particles, the large-particle-size secondary spherical particles are composed of small-particle-size primary spherical particles, the small-particle-size secondary spherical particles are composed of large-particle-size primary spherical particles, and the large-particle-size primary spherical particles are composed of small-particle-size primary spherical particles. The D50 of the large-particle-size secondary sphere particles is 8.0-12.0 [mu] m, the D50 of the small-particle-size secondary sphere particles is 2.0-4.0 [mu] m, the maximum diameter of the small-particle-size secondary sphere particles is not more than 5 [mu] m, and the minimum diameter of the large-particle-size secondary sphere particles is not less than 5 [mu] m. Compared with the prior art, the invention provides the positive electrode material matched with two secondary spherical particles with different primary spherical particle sizes, so that the compaction density and the cycling stability of the positive electrode material are improved.

The invention discloses an adjustable rapid constant-force packaging and bonding mechanism, and relates to the technical field of semiconductor packaging. A bonding head body is movably mounted in the mechanism main body along a first linear direction; the two sides, in the second linear direction perpendicular to the first linear direction, of the bonding head body are connected with the mechanism body through a negative stiffness structure and a linear positive stiffness structure respectively. The linear positive stiffness structure is connected with a guide head of the flexible guide mechanism; a sliding table mechanism is mounted on the mechanism main body; a sliding table body of the sliding table mechanism is connected with guide heads on the two sides through a connecting rod mechanism. The connecting rod mechanism is used for converting the displacement of the sliding table body in the first linear direction into the displacement of the guide head in the second linear direction; a thread adjusting part is movably mounted on the mechanism main body; and the thread adjusting piece is used for adjusting the displacement of the bonding head body in the first linear direction by rotating the thread adjusting piece. The mechanism designed by the invention has the function of quickly entering a constant force range, and meanwhile, different constant forces can be adjusted to be output.

The invention relates to the field of semiconductor packaging, and provides a semiconductor packaging structure and a forming method thereof, and the method comprises the steps: providing a glass substrate which is provided with a plurality of discrete glass through hole interconnection structures; an inorganic dielectric layer and a first interconnection structure located in the inorganic dielectric layer are formed on the upper surface of a glass substrate through the BEOL technology in the front-end manufacturing process of a semiconductor, and the density of the formed first interconnection structure is larger than that of a second interconnection structure formed on the lower surface of the glass substrate subsequently. The feature size of the first interconnection structure is smaller than that of a subsequently formed second interconnection structure; forming an organic passivation layer and a second interconnection structure located in the organic passivation layer on the lower surface of the glass substrate by adopting an RDL process in a semiconductor back-end process; and mounting at least one first semiconductor chip on the upper surface of the inorganic dielectric layer. The method improves the wiring density of the first interconnection structure on the upper surface of the glass substrate.

The invention discloses a RAG data acquisition and question and answer generation method and system based on an encyclopedia website, and relates to the technical field of data processing.The method comprises the steps that entry content in the encyclopedia website is captured, encrypted and stored in a database, and an index is established; extracting semantics of the vocabulary entry content to generate a knowledge graph; obtaining interaction data of the user, and carrying out interaction willingness analysis to identify interaction willingness data of the user for each entry; dynamically updating the database; and generating content reply according to the knowledge graph. The method comprises the following steps: capturing entry contents of an encyclopedia website in real time, combining data cleaning, encryption and index construction technologies to ensure the security and efficient and timely retrieval of data, constructing a knowledge graph based on semantic information of entries, realizing information structuring and semantic association, and generating personalized reply of a user based on a knowledge graph retrieval and generation technology. According to the overall scheme, the data real-time performance, the content generation accuracy and the user experience are remarkably improved, and meanwhile data privacy and system safety are guaranteed.

The invention discloses an academic information conflict resolution method based on evidence intensity index grading. According to the method, all conflict viewpoints and traceability chains thereof are reserved by adopting a'full-amount retention, non-merging and non-deleting 'strategy; calculating a multi-dimensional weighted evidence intensity index of a comprehensive journal influence factor, an introduced frequency and an author academic influence for each literature; judging the conflict severity according to the difference value of the evidence intensity indexes of the two conflict parties, wherein the smaller the difference value is, the higher the severity is; modeling a conflict cluster into an auxiliary node layer in a graph database, and superposing the auxiliary node layer on a core graph without interfering with an ontology framework; conflict severity ranking results drive calibration reduction of downstream weight calculations. The method can be used for information conflict management in academic knowledge graph construction, and interpretable conflict severity grading reference is provided.

The invention discloses an unpowered sewage aerobic device and a sewage treatment system, and relates to the technical field of sewage treatment.The unpowered sewage aerobic device comprises a supporting installation assembly and a sewage treatment assembly, the sewage treatment assembly comprises a treater and a scattering structure, the scattering structure comprises a plurality of scattering plates, and the scattering plates are arranged below the treater; when sewage flowing out of the processor or sprayed out of the processor falls onto the dispersion plate, the sewage is dispersed into a plurality of water drops; the dispersion plate comprises a baffle provided with a plurality of filtering holes; sewage treatment spaces are arranged above and / or below the baffles, and sewage or water drops are treated in the sewage treatment spaces; the baffle plate comprises a treatment area and a mounting area, the treatment area is arranged in the mounting area, filtering holes are formed in the treatment area, and a mounting structure is arranged in the mounting area, so that the problem that the construction cost and the subsequent maintenance cost are relatively high as an aeration tank and aeration equipment need to be constructed in the conventional sewage treatment system is solved.

The invention relates to the technical field of pipeline detection, in particular to an omnidirectional wheel pipeline inspection robot which comprises two robot bodies and a joint variable structure located between the two robot bodies, and the two robot bodies are connected through the joint variable structure; the robot body comprises a bottom plate, a wheel set driving mechanism and a wheel track adjusting mechanism, wherein the wheel set driving mechanism and the wheel track adjusting mechanism are arranged on the bottom plate. The wheel set driving mechanism comprises a wheel set driving assembly, a transmission shaft assembly and omni-directional wheel assemblies, the wheel set driving assembly is in transmission connection with the transmission shaft assembly, and the two omni-directional wheel assemblies are symmetrically arranged on the transmission shaft assembly; the wheel track adjusting mechanism is used for adjusting the distance between the two omnidirectional wheel assemblies. The joint variable structure comprises a posture bending assembly and a joint transmission assembly, and the posture bending assembly and the joint transmission assembly are both connected with the two robot bodies. According to the invention, normal operation in a bent pipeline with many obstacles is facilitated, and normal operation in pipelines with different pipe diameters and pipe diameter changes is also facilitated.

The invention provides an MMC-CLCC novel DC power transmission system structure and a control method, and relates to the technical field of high-voltage DC power transmission. The method comprises the following steps: establishing an MMC-CLCC hybrid DC power transmission system topology architecture; the method comprises the following steps: determining a full-bridge and half-bridge sub-module proportion of an MMC in an MMC-CLCC hybrid direct-current power transmission system topology architecture by considering a direct-current fault ride-through demand and a possible power flow reversal demand; determining a control strategy of the MMC-CLCC hybrid direct-current power transmission system based on the topological characteristics of the topological architecture of the MMC-CLCC hybrid direct-current power transmission system; and determining an on-line power flow reversal control strategy of the MMC-CLCC hybrid direct-current power transmission system according to the actual engineering capacity power flow reversal demand. The method provided by the invention solves the problem that the applicability of large-scale new energy delivery and a scene with multiple direct current drop points in a load center area is insufficient.

The utility model discloses an integrated starting and generating integrated motor, which comprises a motor, a planetary reducer, a clutch I and a clutch II, and is characterized in that the planetary reducer is integrated on a motor shaft of the motor through the clutch I and the clutch II; a motor shaft is in transmission connection with an engine crankshaft through a planetary reducer; the planetary reducer is connected with a motor shaft and an engine crankshaft through a first clutch in the first power flowing direction so as to achieve differential rotation. The first power flow direction is from the motor shaft to the engine crankshaft; the planetary reducer is connected with an engine crankshaft and a motor shaft through a second clutch in the second power flowing direction so as to achieve same-speed rotation. The second power flow direction is from the engine crankshaft to the motor shaft. By balancing the relation between the motor torque and the motor input current when the integrated motor is in a starting state, the planetary speed reduction structure is combined with the integrated motor, the structure which is easy to start the engine and does not affect the power generation of the motor is realized, and the whole structure is integrated and light in weight.

The invention discloses an electric power standard structuring method based on an image recognition technology, and the method comprises the steps: obtaining all characters of an electric power standard file through the OCR character extraction of an electric power standard PDF file; then, through an OCR (Optical Character Recognition) self-healing mechanism, the accuracy of identifying all characters of the power standard file by the model is improved, all accurate characters of the power standard file are obtained, then power standard meta-information is extracted, and then power standard text content entries are carried out; by deeply researching the storage form and characteristics of the electric power standard file and combining the technologies of image recognition, natural language processing and the like, accurate recognition, content extraction and structured storage of the electric power standard file are realized, and powerful support is provided for informatization construction and efficient operation of the electric power industry.

The invention relates to a flexible polyimide / silver superfine nanofiber transparent electrode and a preparation method thereof. The method comprises the following steps: firstly, adding a silver precursor into a polyamide acid solution to obtain a spinning solution; depositing on the surface of the transparent substrate through electrostatic spinning to form a preset nanofiber network; then, the conversion from a non-conductive grid to a conductive grid is realized through in-situ metallization on the surface of the nanofiber; and finally, performing high-temperature treatment to obtain the flexible polyimide / silver superfine nanofiber transparent electrode. The transparent electrode formed by the method has the unique advantage of integrated forming, also has the characteristics of good flexibility, uniform resistance and low cost, and can be realized on transparent substrates in various shapes. In addition, the whole implementation process is high in operability and high in adjustability and controllability, and an innovative scheme with great potential is provided for development of metal nano materials.

The wine cabinet or the refrigeration cabinet with the hidden door hinges comprises a cabinet body, a door body, the door hinges and cushion blocks, hinge cavities with side openings and rear openings are formed in the upper corner and the lower corner of one side of the door body, and each hinge cavity comprises a rotating hole with a lower opening and a fixing cavity; the door hinge comprises a fixed seat plate, a shaft seat plate and a hinge rotating shaft arranged on the shaft seat plate; the cushion block is in a right-angle shape and comprises a cushion part and a fixing part. The fixed seat plate is fixed with the front panel of the cabinet body, the shaft seat plate is rotationally matched with the hinge cavity, and the hinge shaft is rotationally matched with the rotating hole; the fixing part and the fixing cavity are embedded and fixed, and the cushion part is attached to the hinged cavity bottom plate and is in clearance fit with the shaft seat plate. The shaft seat plate is hidden in the hinge cavity, and the fixed seat plate is arranged in a gap between the door body and the cabinet body. Due to the adoption of the structure, the door hinge and the rotating hole are hidden and not exposed, and the top surface of the door body is flush with the top surface of the cabinet body, so that the overall appearance of the wine cabinet or the refrigeration cabinet is flat and attractive; and meanwhile, the door body is supported by the hinge rotating shafts on the two door hinges together, so that the door body is stressed in a balanced manner.

The application provides a multi-agent cooperative task state management and abnormal backtracking method and system, relates to the technical field of artificial intelligence, and comprises the following steps: obtaining interaction data, state data and execution logs, constructing an initial task knowledge graph based on an ontology model, establishing a bidirectional causal chain by using a Bayesian network to form a dynamic knowledge graph, analyzing state migration rules when an abnormality is detected, identifying a propagation node, constructing an abnormal propagation subgraph, generating an influence chain, determining a recovery priority and triggering state rollback. The method can quickly trace the abnormal source, effectively control abnormal diffusion, and improve system robustness and task recovery efficiency.

The invention discloses an interactive load prediction method based on fusion of prior knowledge and data driving, and the method comprises the steps: reconstructing a load sequence into a trend load sequence and a disturbance load sequence through modal decomposition, and constructing a prior knowledge base of tag-feature weight according to SHAP interpretability analysis; and through a prior knowledge base and feature contribution analysis, channel-level weight learning is carried out by using an automatic correlation determination module, and key input features are obtained. And inputting the reconstructed load sequence and the key input features into an improved Transform model, mapping a priori knowledge base into a priori knowledge matrix, embedding the priori knowledge matrix into the model, and generating a load prediction result. And carrying out interpretability analysis on a prediction result, and feeding back and updating an analysis result to a priori knowledge base to realize dynamic collaborative updating of prediction and the knowledge base. According to the invention, organic combination of expert knowledge and a data-driven model is realized, and the precision and stability of load prediction are improved.

The embodiment of the invention discloses a home service support method and device based on a large language model, and a medium, is applied to the technical field of smart questions and answers, and is used for solving the problems that the existing answer data query efficiency is low and the matching degree is low. The method comprises the following steps: processing an original service document based on a preset vectorization processing engine to obtain a vectorization index table; processing the problem of the current user through a preset vectorization processing engine, and obtaining document content corresponding to the processed problem of the current user based on the vectorization index table; determining a current home service scene through the corresponding document content so as to call a prompt word template of the current home service scene; and analyzing the corresponding document content and the current user question based on the cue word template, generating a cue word question, inputting the cue word question into a preset large language model, obtaining answer data, and outputting the answer data through a corresponding output template.

The invention discloses a ship maintainability design recommendation method and system, and relates to the technical field of ship maintainability design, and the method comprises the steps: obtaining and processing ship maintainability design knowledge and ship DFMEA knowledge, and constructing a ship maintainability design knowledge base; constructing a ship maintainability design ontology according to the ship maintainability design knowledge base; the ship maintainability design ontology is structured representation of a knowledge base; obtaining text data input by a designer, and performing entity recognition on the text data by using a natural language processing technology to obtain an entity and a corresponding class; and obtaining a maintainability design strategy of the ship based on the ship maintainability design ontology and entity and the corresponding classes thereof. According to the method, the ship maintainability design ontology is constructed, effective management of ship maintainability design knowledge and ship DFMEA knowledge is realized, and an objective ship maintainability design strategy can be provided according to data input by designers, so that the maintenance efficiency is improved.

The packaging box comprises an outer box, a bottom box, a first containing box, a second containing box and a top cover, the oven comprises an oven body, an oven cover, a grease disc, a baking net, a small baking net and a control panel which are arranged in a split mode, the oven cover is rotationally connected to the oven body, the grease disc is placed in the first containing box, the baking net is arranged in the oven body, and the small baking net is arranged in the bottom box. The first placing box is arranged at the top of the roasting net, the small roasting net and the control panel are placed in the second placing box, the second placing box is arranged at a handle at the front end of the oven cover, the oven body is placed in the bottom box, the top cover is arranged at the top of the oven cover, and the bottom box is placed at the inner bottom end of the outer box. The packaging materials are all recyclable and degradable materials. In addition, the paper angle beads on the periphery and the top meet the requirements of packaging for pressure resistance, clamping, product protection and the like. The whole packing material is flat, full in structure, high in strength and good in assembly ornamental value.

The application discloses a hospital department layout generative intelligent planning method and system, relates to the technical field of hospital department layout data processing, and comprises the following steps: acquiring hospital layout digital data, and generating hospital layout condition coding. A hospital department hard constraint graph is constructed based on the hospital layout condition coding, and a hospital department constraint residual error vector is calculated. The hospital department constraint residual error vector is input into a generative layout model, and a hospital department digital layout scheme is output. Through the closed-loop processing of the hospital layout condition coding, the hospital department hard constraint graph, the hospital department constraint residual error vector and the generative layout model, the hospital department layout generation is converted into a data processing flow that is codeable, traversable, feedbackable and iterative, and the beneficial effects of improving the layout generation constraint consistency, the data traceability and the digital scheme output property are achieved.

The invention relates to the technical field of high polymer materials, in particular to a high-flexibility polyester fluoropropylene dispersion and a preparation method thereof.The preparation method comprises the steps that linear saturated polyester diol is taken, an activating agent is added to conduct end group activating treatment on a polyester main chain, then a catalyst is added to conduct grafting treatment, and bridged polyester is obtained; introducing fluoropropylene gas into the reaction kettle of the bridged polyester, and carrying out copolymerization treatment to obtain a copolymer; cooling the copolymer to a preset value, adding a surfactant to perform coating treatment on the copolymer, and slowly adding deionized water to perform shearing treatment to obtain an aqueous dispersion; and adding tetraethoxysilane into the aqueous dispersion, and carrying out hydrolysis treatment under the condition that the pH value is 4.3-4.6, so as to obtain the high-flexibility polyester fluoropropylene dispersion. According to the invention, the elongation at break, bending tolerance and cracking resistance of the dispersion after film formation are improved, and the hidden danger of material failure under high-flexibility scenes such as flexible electronic base materials and bendable coatings is solved.

The present invention relates to the technical field of computer software for building knowledge models, and in particular to a computer application system and a generation method for quickly building and generating knowledge models, the method comprising: for objects corresponding to objects in the real world, using a metamodel as a member to build a first model, then using the first model as a member to build a second model, and then using the second model as a member to build a third model, and so on, until an object model is obtained; for object models corresponding to different selected objects, setting the model relationships of the members therein through a graphic editor, and marking the model relationships with knowledge tags to form a knowledge graph, the knowledge tags contain logic scripts that can be called to complete calculations and controls; defining process components in the form of blocks, using the process components as components of the object model, and generating a knowledge model that reflects the real world. The system comprises a model composition definition module, a model relationship definition module, and a model behavior definition module.