121results about How to "Efficient collaboration" patented technology

The invention discloses a cloud computing storage, calculation and training resource allocation method based on reinforcement learning and dynamic resource scheduling. The method comprises the following steps: S1, establishing a unified resource scheduling framework; s2, constructing a state space and an action space; s3, generating a state representation for predicting future resource demands; s4, initializing a reward function of key performance index weighted comprehensive evaluation; s5, generating an initial storage resource, computing resource and training resource allocation strategy; s6, continuously adjusting a reward function of the reinforcement learning model based on the self-supervised learning feedback signal; s7, dynamically adjusting a distribution scheme of the storage resources, the computing resources and the training resources through quick response of the resource scheduling framework; s8, optimizing resource allocation among a plurality of cloud computing nodes or platforms; s9, automatically identifying different stages of the current task through a self-supervised learning model; and S10, finally generating an optimal allocation scheme. According to the staged resource scheduling method, the condition of overload or insufficiency of resources is effectively avoided, and the task execution time is greatly shortened.

The invention discloses a device capability distributed cooperation method and system based on an open source gap system, and the method comprises the steps: building a discovery mechanism in a target main device with the open source gap system, and detecting peripheral devices through the built-in discovery mechanism in the target main device, based on the distributed capability of the open-source gap-Mongolia system, a galaxy network is established by a plurality of devices; identifying a preset operation mode of a user, pulling up an atomization service according to an identification result, supporting seamless circulation of the atomization service among different devices through the galaxy network, and performing real-time sharing of data; images or information from different devices are displayed on a distributed screen, and remote operation is carried out on the robot in the galaxy network through a distributed control technology; and monitoring the equipment state and the service operation condition in real time, automatically scheduling resources according to a preset rule so as to respond to an abnormal condition, and taking corresponding recovery measures. According to the invention, efficient collaboration and data sharing among equipment are realized.

The invention provides a sewage treatment system and method based on PLC control, and relates to the field of sewage treatment. The system comprises a PLC (Programmable Logic Controller), a data acquisition module and a data processing module, the data acquisition module is used for acquiring detection data of each sewage treatment tank in the sewage treatment device, and the detection data comprises regulation tank detection data, hydrolysis detection data, anaerobic detection data, oxidation detection data, sedimentation tank detection data, sludge concentration detection data and disinfection detection data; the data processing module is used for analyzing the detection data to obtain regulation and control data, and the regulation and control data comprises regulating tank regulation and control data, hydrolysis regulation and control data, anaerobic regulation and control data, oxidation regulation and control data, sedimentation tank regulation and control data, sludge concentration regulation and control data and disinfection regulation and control data; and the PLC is used for generating a control signal according to the regulation and control data. The water treatment effect is improved through the system.

The invention discloses a collaborative resource scheduling method and system based on a programmable network. The method comprises the following steps: performing performance modeling on heterogeneous computing resource data in all computing resource data to obtain a uniform resource performance index; defining target computing resource data required by multi-dimensional resource demand services, and determining matching relationship information between each multi-dimensional resource demand service and the current computer cluster; in the deployment process, according to all the matching relation information, the correspondingly selected multi-dimensional resource demand service is deployed to each computer cluster; determining a shortest deployment path between the routing nodes in each computer cluster based on a Floyd algorithm; and in the actual scheduling process, executing the computing power arrangement scheme generated in the deployment process. According to the collaborative resource scheduling method and system based on the programmable network provided by the embodiment of the invention, the utilization rate of computing power resources in a wide area network can be improved, and a computing power scheduling strategy is dynamically generated.

The invention discloses a dynamic decision-making method based on Riemannian geometry geodesic optimization. The dynamic decision-making method comprises the following steps: step 1, defining a Riemannian manifold and a measurement corresponding to the Riemannian manifold; step 2, calculating a geodesic line between two points on the manifold by using Riemannian metric; and step 3, implementing a Riemannian gradient descent algorithm, and dynamically adjusting the position of the decision node on the Riemannian manifold. Through a method based on Riemannian geometry and in combination with a global command and control system, variable battlefield environments can be effectively dealt with, the decision making speed and quality are improved, efficient collaboration of strategic and tactical levels is ensured, and the system not only optimizes the execution efficiency of a single task, but also improves the task execution efficiency. And dynamic optimization and adaptability of overall combat command are ensured through continuous algorithm iteration.

The invention discloses an intelligent manufacturing production line management system and method. The system comprises an Internet of Things cloud platform, a data acquisition module and a PLC module. The data acquisition module and the PLC module are wirelessly connected with the Internet of Things cloud platform; the data acquisition module is used for acquiring various types of data in a production line in real time and wirelessly transmitting the acquired data to the Internet of Things cloud platform; the Internet of Things cloud platform is used for analyzing the data acquired by the data acquisition module, evaluating the working state of the production line and transmitting a remote control instruction to the PLC module; and the PLC module is used for realizing automatic control of the production line and automatically adjusting the working state of the production line according to a control instruction received from the Internet of Things cloud platform.

The invention relates to a comprehensive energy system based on network transmission loss and comfort requirements and an optimization method. The method comprises the following steps: S1, constructing an optimization model of a bilateral benefit game; step SA, establishing an upper-layer system optimization model; s1.1, establishing a dynamic network model of the natural gas system based on cooperation and complementation of a combined heat and power generation turbine, power-to-gas equipment and a power grid; s1.2, firstly, energy equipment constraints are determined; s1.3, determining a thermal dynamic pipe network constraint; s1.4, determining a lower-layer system optimization model; s2, simplifying and solving the model; s2, performing convexity, constraint relaxation and complex constraint reduction processing on the integrated energy system double-layer optimization operation model in the step S1; s2.1, carrying out model convexity and relaxation; s3, high-dimensional complex constraint simplification is carried out; and S3.1, reducing the natural gas dynamic network model.

The invention discloses a multi-bus decoupling distributed embedded hardware rendering architecture, system and method, and relates to the technical field of ultra-high-definition video hardware processing, and the key points of the technical scheme are that the architecture comprises a multi-bus decoupling module which comprises a plurality of hardware buses which are physically isolated from one another, each hardware bus is an exclusive hardware transmission link bearing a single-type manufacturing task; the modular processing unit is an independent hardware board card and is integrated with an external signal input port, an upstream bus signal input port and a downstream bus signal output port; the plurality of modular processing units are cascaded in sequence through a hardware bus in the multi-bus decoupling module to form a distributed assembly line rendering link; when the modular processing units are newly added, the signal processing capability and the rendering synthesis capability are linearly improved along with the increase of the number of the modular processing units. According to the invention, the problem of performance bottleneck of the traditional architecture in processing 4K / 8K ultra-high-definition and multichannel rendering is fundamentally solved.

The invention relates to a digital twin-driven distributed warehousing system and method, and belongs to the technical field of intelligent logistics. The system comprises a sensing execution layer, a network transmission layer, an edge computing layer, a cloud platform layer and an application service layer. The method comprises the following steps: acquiring storage physical entity data through a perception execution layer; the data is transmitted to the edge computing layer and the cloud platform layer through the network transmission layer; in the cloud platform layer, a high-fidelity virtual warehouse is constructed and synchronized through a digital twin engine; using a multi-agent reinforcement learning algorithm to perform centralized training in a digital twin environment to generate a distributed cooperative scheduling strategy; and issuing the strategy to an edge computing layer and a sensing execution layer, and driving an autonomous mobile robot cluster to execute a cooperative task. According to the invention, step-type improvement of the warehousing system in flexibility, intelligence and cooperative capability is realized, and the problems of rigid bottleneck, non-optimal decision and low cooperative efficiency of a traditional system are solved.

The invention relates to the technical field of network resource management, in particular to a multi-mode network resource block construction method and system, and the system comprises a physical resource layer which comprises a physical network and a physical network manager; the virtual resource layer virtualizes physical resources of the physical resource layer, acquires virtual resources, generates resource blocks and deploys and manages the resource blocks through a virtual resource manager, and the virtual resource manager interacts with the physical network manager; the application layer is used for processing a network request, sending a resource demand to the virtual resource layer according to the network request, and scheduling a resource block meeting the resource demand to process a service of the network request; and the request control layer is used for receiving a network request of a user, transmitting the network request to the application layer and acquiring an application service support network request. According to the scheme, the problems of separated management of resources such as calculation, storage and network, low resource scheduling efficiency and the like in the prior art can be solved.

The invention discloses a transmission and distribution integrated network low-carbon optimization scheduling strategy considering carbon transaction and demand response. The transmission and distribution integrated network low-carbon optimization scheduling strategy considering the carbon transaction and the demand response comprises the following steps: constructing a transmission and distribution collaborative optimization scheduling framework based on a typical distributed structure of ITDNs; analyzing and calculating the transmission and distribution collaborative optimization scheduling model to obtain a transmission and distribution collaborative low-carbon optimization scheduling model under coordination of a demand side management strategy and a carbon transaction mechanism; and carrying out distributed solution on the transmission and distribution collaborative low-carbon optimization scheduling model under coordination of a demand side management strategy and a carbon transaction mechanism by adopting an alternating current optimal power flow to obtain a convex non-convex planning sub-problem of a power transmission network and a power distribution network. According to the invention, through a transmission and distribution cooperation double-layer low-carbon optimization scheduling model giving consideration to "source-load" interaction coordination, a problem of insufficient coordination between a transmission network and an active power distribution network easily caused by a traditional transmission and distribution split scheduling mode in the prior art is solved.

The invention discloses an environment-friendly ground coal screening device for a power plant, relates to the technical field of ground coal powder screening, and solves the technical problems that when an existing ground coal screening device is used, impurities and agglomerates easily block meshes of a screening net, the normal operation efficiency of the screening net is hindered, and the difficulty and complexity of follow-up cleaning work are increased. Comprising a rack, and a stock bin is arranged in the rack; the screening bin is arranged on the top face of the stock bin, a material opening connected with the top face of the stock bin in a matched mode is formed in the bottom face of the screening bin, and an opening is formed in one side face of the screening bin; the conveying mechanism is used for conveying the screened pulverized coal; the screening mechanism comprises a screening net barrel which is obliquely and rotationally arranged in the screening bin and a rotating rod which is rotationally arranged at the top end in the screening bin and located above the screening net barrel; the screening device can prevent impurities and agglomerates from blocking meshes of the screening net, so that the normal operation efficiency of the screening net cylinder is guaranteed, and the difficulty and complexity of subsequent cleaning work are reduced.

The invention discloses a digital shipyard supply chain platform construction method. The method comprises a first stage of internal informatization foundation construction and standardization management: (1) material information carding and code standardization; (2) precise material full-life-cycle management; (3) internal collaboration and information system integration; (4) constructing a supplier management module; (5) constructing an internal cooperation and early warning mechanism; in the second stage, external collaboration module development and close cooperation: (1) external collaboration module development; (2) functional module improvement and supplier promotion; (3) strengthening close cooperation of suppliers and pre-planning of goods locations; and a third stage: zero inventory management is realized: (1) precise purchasing based on historical data analysis. According to the invention, accurate full-life-cycle management of the materials can be realized, tidy distribution and timely distribution of the tray-set materials are realized, and meanwhile, management decision support based on supply chain whole-process management business data is provided for each management layer of the supply chain.

The utility model provides a kind of ship exhaust gas denitration desulfurization sound attenuation white integration device, the device includes the smoke inlet, SCR reactor, primary expansion cavity, secondary expansion cavity, steam heat exchanger and smoke outlet that are sequentially communicated, first spray layer is arranged in the primary expansion cavity, second spray layer is arranged in the secondary expansion cavity, to realize the efficient cooperation and space multiplexing of each function section. Through modularization nesting design and structure function multiplexing, the problems of large space occupation, low efficiency, high energy consumption and inconvenient maintenance existing in the prior art are solved, and through structure design, desulfurization and noise reduction functions are simultaneously realized.

The invention relates to the technical field of medical instruments, and particularly discloses a multifunctional medical physiotherapy robot which comprises a cabinet, an operation screen and a six-axis robot, and a quick-change base is mounted on an output shaft of the six-axis robot. The core is that the quick-change base can be quickly detached and provided with four functional modules, namely a low-frequency pulse spray massage head, a radio frequency thermal therapy massage head, a shock wave massage head and a negative pressure massage head. Each massage head is connected with the execution end through a structure comprising a flexible connecting piece so as to adapt to the curved surface of the human body and compensate motion errors. Through the quick change mechanism and the central control system, integration and programmed collaborative application of multiple advanced physiotherapy technologies on one device are achieved, the problems that an existing device is single in function and poor in collaboration are solved, and the device has the advantages of being accurate in treatment, convenient and fast to operate and wide in adaptation disease range.

This utility model relates to the field of food processing equipment manufacturing technology, and in particular to a composite motion drive mechanism for a gluten roll winding device, which consists of a torque output unit and a drag force output unit. The winding assembly performs circumferential rotation under the drive of the torque output unit; the unloading cylinder, driven by the drag force output unit, completes axial reciprocating movement, causing the formed gluten to detach. The drag force output unit uses a transmission shaft as its power source, and through the cooperation of a cam mechanism, a multi-component transmission mechanism, a rocking component, and an elastic reset component, converts the power into the reciprocating rocking motion of the rocking component, thereby driving the unloading cylinder to move synchronously. Thus, on the one hand, the composite motion drive mechanism has a relatively simple design structure, and thanks to the operating characteristics of the cam mechanism, the unloading cylinder can achieve non-rigid unloading force application; on the other hand, by adjusting the contour curve of the cam mechanism and the parameters of the multi-component transmission mechanism, and with the assistance of the elastic reset component, the gluten roll winding device can adapt to various unloading requirements.

The application provides an edge device-oriented lightweight multi-modal early gastric cancer collaborative auxiliary diagnosis system, which comprises a lightweight multi-modal classification module, a decision-level fusion unit, a first feature extraction network and a second feature extraction network; the decision-level fusion unit is used for evidence theory fusion of first classification probability and second classification probability, and outputs a multi-modal classification result; a lightweight segmentation module is constructed based on an encoding-decoding structure, an encoder of the lightweight segmentation module comprises a plurality of stacked lightweight bottleneck modules, a feature enhancement module is arranged in a skip connection of the encoder, and the feature enhancement module is used for pixel-level lesion segmentation of a white light endoscopy image; a gating cooperation unit is connected with the lightweight multi-modal classification module and the lightweight segmentation module respectively, and is used for generating a gating signal according to the multi-modal classification result; when the multi-modal classification result is positive, the lightweight segmentation module is activated to perform a segmentation task; and when the multi-modal classification result is negative, a subsequent segmentation process is terminated.

The invention relates to a module cooperative control method and device for an intelligent charging pile and electronic equipment, and the method comprises the steps: obtaining a cable state signal which at least comprises a cable position signal and a wire reel rotation signal; receiving a charging process signal transmitted by the charging module in real time, wherein the charging process signal at least comprises charging power data and a fault state signal; generating and outputting a motor control instruction and a charging control instruction according to the cable state signal and the charging process signal; when it is judged that the cable reaches the limit position according to the cable position signal or the cable winding and unwinding length calculated according to the electric wire reel rotating signal is abnormal, a motor control instruction used for stopping the cable winding and unwinding action and a charging control instruction used for interrupting the charging process are synchronously generated. According to the invention, cable physical state monitoring and charging process safety control can be fused, and the problem of systematic cooperation failure caused by information barriers and response splitting between modules is solved.

The embodiment of the invention provides a cross-forward isolation data comparison system, method and device, a medium and a product, and relates to the field of data synchronization and verification. The system comprises a first agent which is deployed in an intranet and accesses a source end database through a database connection protocol; the second agent is deployed in an external network and establishes one-way communication connection with the first agent; the first agent is also used for transmitting the source end data of the source end database to the second agent through the forward isolation device through the one-way communication connection; and the comparison service is deployed in an external network, pulls the source end data from the interface of the second agent, and performs comparison operation on the source end data and the target end data. According to the method provided by the invention, the technical problem of data comparison in a cross-forward isolation scene is solved through the design of a double-agent architecture and a user-defined protocol, the security and reliability of data comparison are realized, and efficient and secure data comparison in a strict network isolation environment is realized.

High-performance P(VDF-TrFE) based composite film and preparation method thereof, and nanogenerator containing the composite film, the present application relates to piezoelectric composite material technical field, specifically relates to a kind of P(VDF-TrFE) / ZnO / CMWCNTs composite film and preparation method thereof, and piezoelectricity / friction electricity nanogenerator containing the composite film;The composite film is P(VDF-TrFE) / ZnO / CMWCNTs composite film, with P(VDF-TrFE) copolymer mass as benchmark, the addition amount of each component is as follows: P(VDF-TrFE) copolymer: TrFE molar content is 30%;ZnO nanoparticles: mass fraction is 0.36~1.80%;CMWCNTs: mass fraction is 0.01~0.03%;Overcome the technical defects, such as filler ratio out of control in existing P(VDF-TrFE) composite system, process parameter is not clear, piezoelectric property is low, and the output performance of nanogenerator based on it is poor, and stability is insufficient.

This invention provides a system for real-time dynamic adjustment of grouping across devices, including an identity authentication module, a distributed synchronization module, a rule engine module, a trigger engine module, and an algorithm engine module. These modules are coupled and interact through standardized data interfaces. By establishing a three-element association relationship between users, devices, and groups, unified management and authentication of user identities are achieved in a multi-device environment. A dynamic adjustment strategy is employed to achieve static allocation and dynamic adjustment of user permissions. Multi-dimensional grouping rules are formulated to filter users meeting certain conditions into the same group. A multi-dimensional trigger strategy is used to dynamically adjust groups. Intelligent calculation and optimization of dynamic grouping are performed based on the K-means clustering algorithm combined with a greedy strategy. Data synchronization between devices is achieved based on a distributed architecture, enabling real-time dynamic adjustment and efficient collaboration of grouping across devices.

The invention discloses a TEMPO-CNT composite membrane based on layer-by-layer assembly, a preparation method and application, and belongs to the technical field of preparation of electrochemical wastewater treatment materials. According to the composite membrane, a layer-by-layer assembly process is adopted, a carbon-based conductive adsorption layer and a TEMPO catalytic function layer are sequentially constructed on a substrate layer, and an ordered layered structure is formed. According to the structure, the high specific surface area and conductivity of the carbon material are fully reserved, TEMPO active sites are uniformly exposed, and efficient cooperation of pollutant adsorption and electrocatalytic degradation is achieved. The composite membrane prepared by the invention can be adapted to various electrochemical systems such as direct current and alternating current (pulse), trace organic pollutants in wastewater can be efficiently removed with low energy consumption by applying corresponding voltage, and the composite membrane has the advantages of flexible operation, wide application scene, good environmental compatibility and the like.

The invention is suitable for the technical field of vehicle dynamics, and provides a physical constraint fused amphibious vehicle dynamics parameter dynamic identification method, which comprises the following steps: carrying out working condition identification according to a key state quantity to obtain a working condition classification result; based on a working condition classification result, a neural network model is adopted to learn dynamic parameter related characteristics from the state data after working condition classification; based on the amphibious vehicle dynamics model, constructing a loss function fused with a physical mechanism, and combining boundary condition loss, initial condition loss and data interior point loss to obtain a weighted loss function fused with physical constraints; and back propagation is carried out based on a weighted loss function, parameters of the neural network model and vehicle kinetic parameters are optimized, and dynamic identification of the kinetic parameters is realized. According to the invention, the working condition identification precision of the vehicle in various complex operation scenes on land and on water can be improved, and the dynamic identification of the kinetic parameters of the vehicle in various complex operation scenes on land and on water can be realized.

The invention discloses an image segmentation method, device and equipment, a medium and a product. The method comprises the steps of obtaining image segmentation prompt information in response to an image segmentation prompt information input operation for a first image; the image segmentation prompt information and the first image are input into a pre-trained image segmentation model to obtain a first image segmentation result, the first image segmentation result is displayed, the image segmentation prompt information comprises at least one of point prompt information, smearing prompt information and geometric prompt information, and the smearing prompt information comprises at least one of the point prompt information, the smearing prompt information and the geometric prompt information. The pre-trained image segmentation model is obtained by training a sample image, sample image segmentation prompt information and a sample image segmentation result. According to the technical scheme, the problem that the accuracy and efficiency of current image segmentation need to be improved is solved, image segmentation can be carried out by combining the model with the manual operation prompt information, the efficiency and accuracy of image segmentation are improved, and efficient cooperation of the model and manual operation is achieved.

The application discloses a kind of robot post-disaster rescue collaboration methods based on deep learning and large language model, by introducing " reflection mechanism " in natural language processing, realize task semantic analysis, dynamic optimization and adaptive scheduling.Large language model generates task semantic graph and combines reinforcement learning to adjust priority in real time, form closed-loop task reflection and optimization process, greatly improve the flexibility and adaptability of robot in complex environment.Design " distributed perception bridge " module, through attention mechanism dynamic screening and sharing key perception data, realize the efficient cooperation of heterogeneous robot, even in the condition of unstable communication still can guarantee rescue efficiency.Based on the reinforcement learning model driven by environmental characteristics, real-time perception of physical properties such as fragment density and slope, optimize behavior strategy, improve the generalization ability and robustness of model.Through " force-semantic coupling " motion planning, dynamically adjust the operation path and force of manipulator, improve the success rate of complex task.

This disclosure relates to parallel inference methods, apparatuses, devices, and media for multiple LoRA large models, and pertains to the field of deep learning technology. By adding a dedicated process for the LoRA model, it achieves decoupling and separate management from the original large model process at the process level. At the system architecture level, it realizes isolation and parallel computing of the basic large model and multiple LoRA models in terms of computing and storage resources. Compared with traditional methods that deploy the large model and LoRA models on the same device, this disclosure can deploy more LoRA models and improve inference concurrency. Before each iteration of inference, the metadata data is synchronized within the LoRA process group, and the input data is controlled to be broadcast only within the large model process group, avoiding communication and storage redundancy caused by broadcasting input data to the LoRA process and optimizing preprocessing efficiency. By separating the LoRA process and the large model process for parallel operation, efficient separation and collaboration of inference are achieved.

The utility model discloses a kind of Dulong Chishao cultivation devices, it is related to Chishao cultivation technical field, support frame, two symmetrical distribution's watering direction adjusting parts are installed on the support frame, two watering direction adjusting parts are all rotationally connected with reagent spraying part, one end of two reagent spraying parts close to support frame is hinged with support frame, and another end of two reagent spraying parts is all installed with multiple atomizing nozzles.The Dulong Chishao cultivation device is synchronous with soil loosening shovel to complete soil loosening operation, and the contact pressure of linkage plate and ground is automatically triggered baffle displacement by mechanical transmission, so that the seed tank bottom seed hole is accurately opened and closed, and vibration during soil turning shovel operation is used to realize automatic seed sowing;Reset spring is immediately reset to close seed hole when stopping moving, to form the closed loop operation system of soil turning-sowing-stopping, which not only avoids seed waste, but also ensures the unity of sowing depth and soil turning effect, significantly improves the standardization degree of Chishao planting.

The invention discloses a skin anti-itching device for clinical nursing, and relates to the technical field of medical apparatuses and instruments, and the skin anti-itching device comprises a device main body, the device body comprises a detachable structure used for disassembly and separation, a lifting structure connected with the detachable structure, an itch scratching mechanism connected with the lifting structure, a linkage assembly connected with the itch scratching mechanism, a stroking mechanism connected with the linkage assembly and a stretching assembly connected with the lifting structure. The device has the advantages that a bidirectional motor rotates to drive a rotary table in the itching scratching mechanism to rotate, a linkage rod I performs circular motion around the rotary table, and a scratching block slides on a sliding plate and is matched with a large gear at the bottom to drive four meshed side gears to perform transmission, so that an inner gear ring and an inner gear in a rotary drum are driven to perform transmission; the driving wheel on the linkage plate and the driven wheel meshed with the driving wheel are driven to transmit, and the multiple stroking balls are started to stroke the affected part while scratching, so that the treatment effect is accelerated and promoted.

The invention relates to the technical field of unconventional oil gas and geothermal resource development, and particularly discloses a self-propelled jet drilling and instant gas fracturing integrated system and method.The system comprises a ground supply and control unit, a continuous pipe and a jet fracturing drill bit assembly connected to the tail end of the continuous pipe; the jet fracturing drill bit assembly comprises a high-pressure gas channel, an annular cavity, an axial nozzle and a radial nozzle, and the annular cavity is divided into a proppant cavity and an instant pulse fracturing cavity through an annular sliding block. The method comprises the steps of periodically circulating axial drilling, radial fracturing and propping agent injection. According to the method, fusion of drilling and fracturing in time and space is achieved, drilling energy is converted into fracturing energy in situ, an enhanced shaft wrapped by a continuous'fracturing ring 'is formed, and the method has the outstanding advantages of being simplified in procedure, short in operation period, high in energy utilization rate and continuous and uniform in reservoir transformation.

The embodiment of the application discloses a heterogeneous texture vamp generation method based on an artificial intelligence content model, an end-to-end intelligent generation of design parameters to a vamp image is realized through an encoder and a diffusion model, a traditional design period of several weeks is shortened to minutes, and design efficiency is significantly improved; through a built-in process constraint module, weaving rules are pre-verified, non-weavable structures are avoided from the source, and the rework rate is greatly reduced; through a scoring module, aesthetic and process feasibility are quantitatively scored in two dimensions, intelligent optimization of a scheme is realized, and the problem of relying on artificial subjective screening is solved; meanwhile, with editable design parameters as input, a series of schemes with unified and differentiated styles can be quickly generated by adjusting keywords only, and the series design efficiency is greatly improved. In summary, the application realizes the technical effects of process constraint preposition, intelligent generation and multi-dimensional optimization, breaks through the information fault of design to production, and realizes end-to-end efficient cooperation.