36results about How to "Improve long-term performance" patented technology

The invention belongs to the technical field of Linux kernel schedulers, and particularly relates to a Linux kernel scheduler parameter optimization system and method.The Linux kernel scheduler parameter optimization system comprises a data collection module, a large model training and optimization module, a kernel scheduler module, a code generation and verification module, a small model training module and a small model reasoning module; the large model is responsible for periodically providing a visual angle of global optimization, generating an initial weight and a scheduler prototype of the small model, extracting a rule from long-term accumulated data, and ensuring that an optimization strategy has a global visual field. Meanwhile, the small model serves as a local adapter to process the dynamic scheduling requirement of a kernel mode in real time. The layered optimization mechanism can balance short-term adaptability and long-term performance improvement.

The invention discloses an infectious disease multi-point triggering intelligent early warning method based on multi-source data fusion, and relates to the technical field of public health, and the method comprises the following steps: 1, collecting and integrating multi-source data, building data interfaces with all levels of medical institutions and grassroots public health units, collecting diagnosis and treatment data and abnormal health condition information, and storing the diagnosis and treatment data and abnormal health condition information; accessing online platform data, screening and removing invalid data, and constructing a regional diagnosis and treatment database to provide a comprehensive data basis for subsequent analysis; according to the invention, by integrating multi-source data, the accuracy and real-time performance of the infectious disease early warning system are significantly improved; according to the method, symptom description is preprocessed and vectorized by using a natural language processing technology, a similar mode between symptoms and examination data is deeply mined in combination with standardized examination data, so that the characteristics of infectious diseases are accurately extracted, a potential characteristic set of the infectious diseases is identified through clustering analysis and an association rule mining algorithm, and a characteristic knowledge base is constructed.

The invention relates to the technical field of smart home, and discloses an AI-based fan intelligent temperature regulation control system, which comprises a multi-dimensional data acquisition module for acquiring environment temperature, humidity, air quality, illumination intensity and human body state data; the data fusion and preprocessing module is used for carrying out denoising, standardization and time synchronization on the multi-dimensional data and fusing the multi-source data; the AI decision and control module is used for generating a speed regulation and mode control instruction of the fan based on the human body comfort evaluation model and an AI algorithm; and the feedback optimization and execution module is used for executing the control instruction. Through a multi-dimensional data perception and fusion technology, comprehensive monitoring of environment temperature and humidity, air quality and a human body state is realized. The AI intelligent regulation and control algorithm is combined, the fan speed and mode are dynamically adjusted, and the user comfort and energy consumption are balanced; through edge calculation and cloud optimization, real-time response and continuous adaptive optimization of the system are ensured, and the accuracy and stability of the system are improved.

The invention discloses a method for simulating and predicting a corrosion fatigue evolution process of a steel structure, which comprises the following steps of: establishing an integral finite element stress simulation model of the steel structure, and reserving a local finite element corrosion fatigue simulation model insertion gap of the steel structure on the integral finite element stress simulation model of the steel structure; establishing a local finite element corrosion fatigue simulation model of the steel structure, wherein the local finite element corrosion fatigue simulation model of the steel structure comprises a steel structure finite element corrosion simulation unit and a steel structure finite element fatigue simulation unit which are coupled and associated; inserting and binding the steel structure local finite element corrosion fatigue simulation model into the steel structure local finite element corrosion fatigue simulation model insertion gap to form a steel structure overall finite element corrosion fatigue simulation model; and obtaining simulation and prediction results of the corrosion fatigue evolution process of the steel structure through operation of the integral finite element corrosion fatigue simulation model of the steel structure. And multi-scale and coupling simulation of the whole process of corrosion pit formation and crack propagation is realized.

The invention relates to environment-friendly hydrophobic ink and a preparation method thereof, and belongs to the technical field of water-based ink. A copolymerization modifier capable of being combined in a water-based polyacrylate emulsion in an initiation polymerization mode in the stage of preparing the modified water-based polyacrylate emulsion is prepared, and an o-hydroxy aromatic ketone structure in the copolymerization modifier can endow water-based ink with lasting ultraviolet absorption performance; the trifluoromethyl structure can reduce the surface energy of the water-based ink, and the benzimidazole ring structure can form stable coordinate bonds with metal ions, so that the bonding performance of the water-based ink and a metal substrate is enhanced; when the copolymerization modifier is used for modifying the water-based polyacrylate emulsion, the long-term performance, the hydrophobic and oil-resistant performance and the adhesion performance on the surface of a metal base material of the finished water-based ink can be effectively improved.

The invention discloses an intelligent positioning system capable of conveniently adjusting the standing posture of a patient and a method thereof, and relates to the technical field of intelligent medical treatment. Comprising the following steps of initial posture evaluation and skeleton modeling, gravity center and supporting point distribution calculation, spine curvature and inclination detection, intelligent laser-assisted posture adjustment, dynamic muscle activation feedback monitoring, pelvis and lower limb alignment correction, posture balance prediction and guidance, upper limb posture and shoulder blade stability correction and real-time adjustment of biological feedback driving. And carrying out long-term attitude optimization and habit remodeling, and carrying out system construction based on the method. According to the intelligent positioning system convenient for adjusting the standing posture of the patient and the method thereof, accurate detection, real-time adjustment and long-term optimization of the standing posture problem of the patient are realized by setting and combining multi-modal data acquisition, a dynamic feedback mechanism and biomechanical analysis. The problems of low static evaluation precision, lack of dynamic feedback and poor long-term effect in the prior art are effectively solved.

The invention discloses green low-carbon high-rutting-resistance asphalt concrete and a preparation method thereof, and relates to the technical field of asphalt concrete. The technical scheme is as follows: RAP accounts for 30-40% of the mass of a new aggregate, 53-65 parts of the new aggregate, 3.2-4.1 parts of new asphalt, 4-6 parts of mineral powder, 0.3-0.4 part of high-density oxidized polyolefin, 0.05-0.1 part of a drying agent, 0.05-0.1 part of a lead salt stabilizer, 0.05-0.1 part of an auxiliary agent, 1.5-3 parts of reactive polyurethane, 3-6 parts of a polyester modifier, 0.5-2 parts of a silane coupling agent, 0.1-0.5 part of an antioxidant and 0.5-2 parts of a dispersing agent. Through the synergistic effect of high-density oxidized polyolefin and reactive polyurethane, the performance of aged asphalt in RAP is improved, the rutting resistance of asphalt concrete is improved, VOC emission is reduced, the sustainability of the material is enhanced, the long-term durability is improved, and the service life of a road is prolonged.

The invention provides a composite mineral admixture based on iron ore tailing mud and a preparation method thereof, and the composite mineral admixture comprises the following raw materials by weight: 30-40 parts of activated iron ore tailing mud, 5-10 parts of layered ultrafine powder, 5-10 parts of a methacrylic acid-cellulose copolymer, 5-7 parts of limestone powder, 1-3 parts of a composite grinding aid, and 1-3 parts of a composite activator. According to the composite mineral admixture disclosed by the invention, the mixing amount of the composite mineral admixture in cement can be increased to the maximum extent, the use amount of cement clinker is reduced, the production cost of the cement is reduced, the composite cement has more excellent mechanical properties, volume stability and durability, and the composite mineral admixture plays a role similar to a crystal nucleus effect in a cement hydration process; and meanwhile, the hydration products tend to be uniformly distributed in the whole interface transition area, the hydration products with better stability are generated, and the anti-permeability performance is improved.

The invention discloses a preparation method of a circulation type gas diffusion electrode for electrochemical CO2 reduction, and belongs to the technical field of electrochemical CO2 reduction. The circulation type gas diffusion electrode directly conveys carbon dioxide to the surface of a cathode in the electrochemical CO2 reduction process; the specific preparation method comprises the following steps: adding N-methyl-2-pyrrolidone into polyethyleneimine, and carrying out ultrasonic treatment; the preparation method comprises the following steps: adding copper powder into a transparent and uniform mixed solution of N-methyl-2-pyrrolidone and polyethyleneimine, and carrying out magnetic stirring; and calcining the uniform mixture of N-methyl-2-pyrrolidone, polyethyleneimine and copper powder and the hollow fiber of polyethyleneimine and copper powder in a smelting furnace to obtain the FTGDE electrode. By adopting the preparation method of the circulation type gas diffusion electrode for electrochemical CO2 reduction, disclosed by the invention, efficient transmission and utilization of carbon dioxide are ensured, and the electrochemical reduction reaction efficiency is improved.

The invention discloses a method for post-root canal therapy resin closure retreatment in a medullary cavity, and relates to the technical field of root canal therapy, and the method comprises the following steps: S1, pre-operation sampling; s2, removing the restoration and other materials: removing the restoration on the surface of the dental crown and the resin sealing material in the medullary cavity by using a material removal technology and a tool, wherein the material removal technology and the tool comprise a grinding device with a sensor or a laser technology; s3, re-cleaning and disinfecting the root canal: after cleaning the root canal, using a root canal disinfection drug added with nano-silver particles, and mixing the nano-silver particles with traditional disinfection drugs such as calcium hydroxide paste; s4, filling and re-treating: blending the color of the resin by using a computer color matching technology before filling the medullary cavity; the system further comprises an intelligent design monitoring platform. According to the invention, a grinding device with a sensor or a laser technology is adopted, so that the damage to tooth tissues, especially key parts, is remarkably reduced, and the treatment safety and accuracy are improved.

The invention relates to the technical field of medical instruments, in particular to an intravascular stent. According to the specific technical scheme, the intravascular stent comprises a stent skeleton, after the stent skeleton is subjected to surface treatment, at least one layer of film covering section is arranged outside the stent skeleton, and medicine release sections are arranged at the two ends of the stent skeleton. The problems that in the drug release process of an existing stent, the drug release rate is uneven, biocompatibility is poor, and thrombus and restenosis are caused by a metal stent are solved.

The invention discloses a power equipment nameplate automatic identification method and system based on a visual large model VLM, and the method comprises the steps: S1, carrying out the preprocessing operation of collected images, generating a corresponding label for each image, and obtaining an image data set with the labels; s2, dividing the image data set attached with the label into a training set and a test set, and performing model training and evaluation on the visual large model according to the image data set to obtain a trained visual large model VLM; s3, performing feature extraction on the preprocessed image by adopting a pre-trained visual large model VLM to obtain an identified character information key value pair; and S4, reasoning the recognized character information key value pairs, obtaining the type of the power equipment according to a preset power equipment classification model, and outputting corresponding structured information. According to the invention, the problem that the existing power equipment nameplate identification technical scheme has obvious deficiencies in the aspects of efficiency, accuracy and cost efficiency is solved.

The invention discloses a real-time advertisement evaluation decision-making system based on a large language model agent. The system comprises a problem modeling module, a decision-making agent construction module and an advertisement evaluation result output module. The problem modeling module is used for modeling an original advertisement evaluation decision problem into a Markov process; the decision-making agent construction module constructs a decision-making agent based on a large language model and comprises a configuration file guiding unit, a click rate estimation model training unit, a basic decision-making factor generation unit, a memory module construction unit, an reflection module construction unit, an insight reasoning unit and an action making unit; and the advertisement evaluation result output module obtains a final advertisement evaluation result of each advertisement. According to the invention, the decision agent which integrates the click rate estimation model, the expert rule strategy, the multi-memory retrieval mechanism and the reflection mechanism is constructed based on the decision agent construction module to simulate the advertisement environment of the real world, so that the learning difficulty and the prediction difficulty of the model are reduced, and the efficiency and the effect of advertisement evaluation are improved.

The invention relates to the technical field of display, in particular to a liquid crystal display screen and a control method thereof. The method comprises the following steps: obtaining display screen design data, and carrying out quantum dot material feature extraction and quantum dot distribution feature extraction according to the display screen design data so as to obtain quantum dot material data and quantum dot distribution data; performing quantum dot display according to the quantum dot material data and the quantum dot distribution data so as to obtain quantum dot display data; performing optical structure feature extraction according to the display screen design data so as to obtain optical structure feature data; performing display optical simulation according to the optical structure feature data so as to obtain display optical simulation data; and obtaining display screen temperature sensing data, and performing display stability analysis on the quantum dot display data according to the display screen temperature sensing data so as to obtain display stability data. The power consumption control of the liquid crystal display screen is realized based on the display technology.

The present application relates to the technical field of industrial unmanned aerial vehicle application and intelligent scheduling, and particularly discloses an unmanned aerial vehicle highway inspection task intelligent planning management system, which comprises a task input module, an intelligent planning engine, a task execution management module, a data hub and a feedback optimization module; the task input module receives and checks and analyzes inspection task requirements and highway basic information; the intelligent planning engine decomposes task priorities based on highway multi-dimensional attributes, dynamically allocates unmanned aerial vehicle resources and generates an optimal path meeting multiple constraints; the task execution management module issues adaptive instructions, monitors unmanned aerial vehicle states and processes inspection data; the data hub uniformly stores whole-process data; and the feedback optimization module optimizes a decision model based on historical data. The present application improves inspection planning accuracy and resource utilization, guarantees data quality, realizes self-evolution and ensures efficient and reliable highway inspection.

The invention relates to the technical field of artificial intelligence, and discloses a health management method and device based on artificial intelligence, equipment and a storage medium, and the method comprises the steps: obtaining a multi-modal comprehensive state vector, a multi-dimensional psychological portrait and a context state vector of a user in an interaction process, the multi-modal comprehensive state vector, the multi-dimensional psychological portrait and the context of the current health task form an interaction state; according to the context state vector, matching an excitation action suitable for the user under the current health task; calculating a reward generated by adopting an incentive action for the user in the interaction state; through a reinforcement learning algorithm, generating a target incentive action for the user according to the interaction state, the incentive action and reward learning; and exciting the user to perform a health behavior based on the target excitation action. The method can be applied to individual health management scenes in the field of medical science and technology, and the long-term effect of individual health management can be remarkably improved.

The invention discloses a specialized nurse-oriented blood purification personalized course recommendation method and system, and relates to the technical field of medical teaching. The method comprises the following steps: S1, collecting blood purification operation data, and preprocessing the blood purification operation data; s2, dividing the preprocessed blood purification operation data into four stages, and calculating corresponding operation characteristic values; S3, obtaining operation capability characterization parameters of each stage, constructing a nurse operation evaluation model, and outputting a blood purification operation evaluation value of a nurse; and S4, generating a personalized learning task package based on the hematopurification operation evaluation value and the weight coefficient of each stage, pushing the personalized learning task package to a nurse side, constructing an evaluation difference matrix before and after learning, and performing closed-loop updating of course recommendation. The problem that an existing nurse training system cannot achieve objective evaluation and precise course matching based on multi-dimensional data of the hematology operation process, and consequently learning content is general and insufficient in individuation is solved.

The invention discloses green low-carbon recycled concrete for a cold region. The recycled concrete is prepared from the following components in parts by weight: 300 to 350 parts of cement, 100 to 120 parts of fly ash, 356 to 1040 parts of recycled coarse aggregate, 0 to 5 parts of polyvinyl alcohol fiber, 0 to 15 parts of organic silicon, 4.8 to 8 parts of polycarboxylate superplasticizer, 0.12 to 0.24 part of air entraining agent, 0 to 680 parts of natural coarse aggregate, 620 to 815 parts of natural fine aggregate and 135 to 150 parts of water, the invention further discloses a preparation method of the recycled concrete. The organic silicon is added into the recycled concrete to promote hydration of unhydrated cement particles in the concrete, so that internal pores of a cement base are reduced, the compactness of the recycled concrete is enhanced, the durability and the mechanical property are improved, and the recycled concrete is suitable for the technical field of building materials.

The present application relates to the technical field of image recognition, and specifically discloses a vehicle part recognition method and system, an electronic device and a storage medium. The technical scheme of the present application generates an enhanced image dataset by acquiring multi-angle vehicle images and performing image enhancement processing, and divides the fine-tuning process of a pre-trained visual model into three stages to progressively unfreeze and update the top, middle and bottom layer parameters in sequence. Performance evaluation and threshold determination are introduced during stage conversion, solving the problems of excessive consumption of computing resources and excessively long training time caused by full parameter fine-tuning relying on large-scale datasets in the prior art, and the problems of insufficient recognition accuracy and generalization ability caused by the difficulty of pre-trained models to adapt to multi-angle complex backgrounds. The present application reduces the model training cost, shortens the model training cycle, and improves the vehicle part recognition accuracy and generalization ability.

The application discloses an assembled beam-column joint damping structure and a construction method, the joint comprises a vertical damping structure, a horizontal damping structure and an oblique damping structure; the vertical damping structure comprises a joint upper cylinder, a middle part of the joint upper cylinder is hingedly connected with a connecting rod assembly, a lower end of the connecting rod assembly is elastically connected with a joint lower cylinder in a horizontal direction, a plurality of vertical sliding rods are arranged on the front side and the rear side of the connecting rod assembly, and the lower ends of the vertical sliding rods are elastically connected with the joint lower cylinder in a vertical direction; the horizontal damping structure is symmetrically distributed on the left side and the right side of the joint lower cylinder after penetrating the joint lower cylinder; the structure is connected and combined with the beam and the column through the setting of the energy dissipation component, so that the damping and energy dissipation effect is achieved; under the action of the earthquake, the damping structure can offset a certain amount of seismic energy through the mutual restriction of the deformation, the vertical displacement and the horizontal displacement of the component itself, and the influence of the earthquake on the structure is reduced.

The invention discloses carbon-sequestration low-calcium cement concrete and a preparation method thereof, and belongs to the field of building materials. The carbon-sequestration low-calcium cement concrete is prepared from the following components in parts by weight: 18 to 50 parts of low-calcium cement, 24.8 to 72 parts of carbon-sequestration aggregate, 9.9 to 25 parts of water and 0.1 to 0.5 part of additive, the sum of the parts of the components is 100. Through reasonable design of raw material composition and process optimization, on the basis of pouring molding, the rapid demolding requirement of the carbon-sequestration low-calcium cement concrete is met, all-component efficient carbon sequestration of the carbon-sequestration low-calcium cement concrete is achieved, and internal homogeneous carbonation of the carbon-sequestration low-calcium cement concrete is achieved. The carbon-sequestration low-calcium cement concrete disclosed by the invention has the characteristics of excellent carbonation performance, simple preparation process and long-term stable development of product strength.

The invention discloses a heat dissipation system and method for a high-heat-flux component. The heat dissipation system comprises a semiconductor chilling plate, a graphene heat sink, a radiator and a temperature control chip, and the semiconductor chilling plate comprises a cold end and a hot end; the graphene heat sink is in a quadrangular frustum pyramid shape with four trapezoidal side faces, square throttling channels used for enhancing passive heat exchange are arranged on the side faces of the graphene heat sink, the top face of the graphene heat sink is connected with the high-heat-flux electronic component, and the bottom face of the graphene heat sink is connected with the cold end of the semiconductor chilling plate. The temperature control chip surrounds the side face of the semiconductor chilling plate by a circle. And the area of the top surface of the graphene heat sink is the same as that of a heat source of the high-heat-flux electronic component. The quadrangular frustum pyramid type graphene heat sink is applied to an electronic component heat dissipation system with high integration level and high calorific value for the first time, and due to the fact that the heat sink is light and thin, the use amount of materials is reduced on the premise that the structural strength is guaranteed through the quadrangular frustum pyramid type design. In addition, the quadrangular frustum pyramid structure also improves the overall strength and stability of the material, and reduces deformation caused by thermal expansion.

The invention discloses a skin health monitoring and analysis method based on cloud computing, and relates to the technical field of monitoring and analysis. After user authorization, skin grease data and environment data of the user are collected in real time through intelligent hardware equipment, and preliminary health assessment is conducted on the user; taking the preliminary health assessment result as the skin state of the user, and predicting the risk probability of skin health problems; according to the predicted risk probability, real-time health early warning is generated, and an intelligent reminding and protection scheme is sent to the user; based on the intelligent reminding and protection scheme, a personalized skin care scheme is automatically generated; after the user feeds back the skin symptoms, the skin care suggestions are adjusted according to feedback information, and the personalized care scheme is optimized. Through accurate data acquisition, intelligent health assessment and personalized nursing scheme design, the efficiency and precision of skin health management are comprehensively improved, and the system has remarkable innovativeness and practicability.

The invention provides a preparation method of essential oil capable of improving depression. The preparation method of the essential oil capable of improving the depressive emotion comprises the following steps: a, selecting a plant raw material with the effect of improving the depressive emotion, the plant raw material is at least one of lavender, neroli, rosemary, cananga odorata and the like, and the concentration of effective components of the selected plant is not lower than 5%, and b, extracting the essential oil of the plant through a steam distillation and solvent extraction method, volatile organic components of the extracted essential oil are reserved, and the content of the volatile organic components in the extracting solution is not lower than 90%. According to the preparation method of the essential oil capable of improving the depression mood, the mood improving effect of the essential oil can be effectively prolonged, the problem of dependence is avoided, plant components and volatile organic compounds in the essential oil are finely blended, and technologies such as temperature control and fragrance blending are combined, so that essential oil components can be stably released for a long time; and the user is helped to maintain emotion balance and gradually improve depressive emotion.

The invention discloses a test scene intelligent simulation method, system and device for a real-time control system and a medium, and the method comprises the steps: receiving a test demand, carrying out the analysis of the test demand based on a large language model and a test domain knowledge graph, and generating a structured test demand; calling a corresponding generative artificial intelligence model, and generating a cross-modal test data set associated in time sequence and semantics; based on a structured test requirement, a cross-modal test data set and a test domain knowledge graph rule, automatically generating a test script and arranging a time sequence test scene process so as to drive the real-time control system and collect response of the real-time control system; and analyzing a test execution result, optimizing decision logic of data generation or protocol simulation through reinforcement learning based on the analysis result, and updating the decision logic to the test domain knowledge graph. Compared with the prior art, full-link automation of real-time control system testing from scene construction and execution to autonomous evolution is achieved.

This invention discloses a virtual human-computer interaction system and method for brand promotion, relating to the field of human-computer interaction technology. The system includes: S1: collecting multimodal data from users during the interaction process via a user terminal and performing real-time analysis to generate real-time user status information; S2: generating comprehensive interaction context instructions; S3: based on the comprehensive interaction context instructions, executing a virtual human adaptive generation step and a brand content dynamic generation step in parallel; S4: forming and outputting an interaction response for the current user; S5: collecting user behavior data related to the interaction effect and updating and optimizing rules based on the user behavior data. The advantages of this invention are: through multimodal perception and context analysis, it achieves real-time personalized dynamic generation of virtual human image, interaction style, and promotional content, enabling brand promotion to accurately adapt to the real-time status and historical preferences of different users, greatly improving the naturalness, attractiveness, and user resonance of the interaction.

The invention relates to a slope surface mortar cushion structure and a construction method thereof, and the construction method comprises the following steps: slope surface treatment: removing surface soil and sundries on the slope surface, and sprinkling water for wetting; formwork installation, wherein square steel is adopted to be assembled into a modular formwork system; measuring and lofting: carrying out encrypted measurement on elevation and slope surface control points through a total station; m10 mortar preparation and pouring: M10 strength grade mortar is adopted, the consistency is 30-50 mm, the water retention rate is larger than or equal to 80%, and the M10 strength grade mortar is warehoused through a chute or a truck-mounted crane; surface treatment is conducted, specifically, secondary leveling is conducted through an aluminum alloy guiding rule and a wood trowel; curing: covering a curing blanket and spraying water for curing, wherein the curing time is not less than 7 days; construction joints are treated, wherein laitance of the joints is removed, and pouring is continued after mortar with the same proportion is brushed. By means of the slope mortar cushion construction method, the construction quality can be effectively improved, the long-term performance can be improved, the maintenance period can be prolonged, and the slope mortar cushion construction method is more suitable for large water conservancy projects.

The invention discloses a self-adaptive navigation method and system for an unmanned distribution vehicle in a complex road condition. The method comprises the steps of constructing and updating a dynamic passing cost map, executing global path planning, executing local track optimization and control, and monitoring and re-planning. A dynamic passing cost map is constructed by fusing dynamic cost generated by sensing obstacles in real time and historical experience cost based on historical data learning, global cost optimal path planning and local rolling track optimization are performed based on the map, a control instruction is generated, global path cost is monitored at the same time, and the optimal path planning and local rolling track optimization are realized. And when a self-adaptive threshold condition based on historical experience is met, global re-planning is triggered, and self-optimization is carried out through an emergency cooperation mechanism and system parameters when local planning fails, so that the passing efficiency, the safety and the overall intelligent level of the unmanned distribution vehicle in a dynamic uncertain environment are improved; the problems of poor environmental adaptability and low decision-making efficiency in the prior art are solved.

This invention provides a method and system for autonomous iteration and real-time control of forging process based on machine vision for extracting time-frequency map features. The method transforms the thermal and deformation history data during forging into a time-frequency map through time-frequency transformation, and establishes a mapping relationship between the time-frequency map and the microstructure using a convolutional neural network (CNN). Then, a generative model is used to construct a bidirectional mapping model between process parameters and the time-frequency map. Based on this, combined with a model predictive control (MPC) framework, the process parameters are optimized in real time with microstructure targets as constraints. After the process is completed, the model parameters are iteratively updated autonomously, thereby achieving iterative optimization of the microstructure quality of the forging. This invention can effectively extract deep features of the thermal deformation history, establish a reliable mapping relationship between "process parameters - thermal deformation history - microstructure," and achieve online optimization of process parameters during forging, providing an intelligent production process optimization solution for the high-end equipment manufacturing field.

The invention relates to a heat insulation performance evaluation method, system and equipment of a heat insulation sponge and a medium, and belongs to the technical field of heat insulation material performance evaluation, and the performance evaluation method comprises the following steps: obtaining initial parameters of a to-be-detected heat insulation sponge sample; receiving and storing a temperature-heat transfer curve of the heat insulation sponge sample, generating a temperature-heat conductivity curve of the heat insulation sponge sample, and calculating to obtain thermal diffusion coefficient data; receiving heat map data, calibrating a temperature response based on a thermal diffusion coefficient, and generating a temperature distribution matrix; calculating temperature data of different depth layers in the heat insulation sponge sample; receiving a high-low temperature heat insulation attenuation curve obtained by the heat insulation sponge sample under the high-low temperature cycle test; receiving a humidity-temperature heat insulation attenuation data set obtained by the heat insulation sponge sample under a humidity-temperature cycle test; and obtaining heat insulation performance data according to the high and low temperature heat insulation attenuation curve and the humidity-temperature heat insulation attenuation data set. The method can accurately evaluate the heat insulation performance of the heat insulation sponge material.