65 results about "Model control" patented technology

The invention relates to the technical field of industrial process control, and discloses a digital twinning-based fermentation process temperature adaptive control system, which comprises a data acquisition and state representation module, a probability generation type digital twinning module, an adaptive risk management module, an opportunity constraint model prediction control module and a model iteration trigger module, according to the method, probability distribution of future states is predicted by constructing probability generation type digital twinning, and the uncertainty of the model is quantified in real time; the system can dynamically adjust the risk tolerance, drives the chance constraint model prediction controller, seeks an optimal control solution on the premise of ensuring the process safety probability, triggers the model adaptive update by means of an online evaluation mechanism, and realizes the optimal control solution on the basis of effectively managing the process uncertainty. The fermentation temperature is subjected to high-performance self-adaptive control considering safety and economy, and the problem that a traditional deterministic model is insufficient in control robustness is solved.

The invention relates to an energy storage electric power spot market simulation clearing method based on hierarchical model control prediction, and the method comprises the following steps: S1, building an electric power spot market global simplified clearing model containing energy storage, and taking the model as an upper prediction control model; s2, establishing an electric power spot market detailed clearing model containing energy storage as a lower execution model; s3, dividing long-time simulation into M solving periods; in each solving period, global simplification clearing optimization is firstly utilized to obtain an energy storage final state SOC constraint value of each remaining period; on the basis of the energy storage final state SOC constraint value of the current period, market simulation clearing of the current period is completed by using a detailed clearing model; and finally, updating the system state according to the current clearing result, and rolling to advance to the next cycle until clearing of all cycles is completed. According to the method, dynamic global optimization of the energy storage SOC constraint is realized through a hierarchical model prediction control mechanism, and the calculation efficiency and the market simulation clearing effect are effectively balanced.

This application discloses a method and apparatus for constructing a Traditional Chinese Medicine (TCM) diagnostic and treatment knowledge model. The method includes: transforming a general-purpose basic language model into a model specifically for the TCM field to obtain a basic TCM model; controlling the obtained basic TCM model to learn diagnostic and treatment thinking within the TCM field to obtain a basic TCM diagnostic and treatment model; aiming to enhance the flexibility of logical reasoning in the obtained basic TCM diagnostic and treatment model, controlling the obtained basic TCM diagnostic and treatment model to learn the diagnostic reasoning paths of clinical cases in the TCM field to obtain a TCM reasoning diagnostic and treatment model; controlling the obtained TCM reasoning diagnostic and treatment model to learn the unique TCM knowledge and unique diagnostic and treatment thinking of a target renowned physician to obtain a unique TCM diagnostic and treatment model; and controlling the obtained unique TCM diagnostic and treatment model to favor the unique diagnostic and treatment thinking of the target renowned physician to obtain a TCM diagnostic and treatment knowledge model. This improves the diagnostic accuracy and clinical decision-making reliability of the model.

A model representing a physical object in a shape optimization according to a design objective, and a control point for altering a shape of the physical object are received. The shape is defined by a set of nodes in the model. Sibling models are generated from the model according to a perturbation scheme. The control point is perturbed with respective perturbed values for the sibling models. Each sibling model contains nodal location changes for the nodes. The nodal location changes are determined based on a respective shape function formulated according to a respective perturbed value at the control point and one or more simulated physical behaviors of the model. The model is updated to have an optimal value for the control point. The optimal value is identified from a relationship according to the design objective. The relationship correlates a physical characteristic of the sibling models to the respective perturbed values.

The embodiment of the invention provides a thermal management control method and device, a model training method and device, equipment and a storage medium. The method comprises the following steps that: cloud equipment constructs a multi-physical domain coupling training environment, customizes a multi-target reward function and a training model, and adapts the computing power of a vehicle controller through lightweight; the vehicle end is provided with progressive access mechanisms such as driving working condition judgment and heat management request recognition, three-level grading fault processing is matched, five-layer engineering post-processing such as amplitude limiting and rotating speed fusion is carried out on a model control signal, cooperative control over a battery and a cabin shared compressor is achieved, and finally closed-loop rolling regulation and control are formed. According to the scheme, the problems that a traditional strategy has no dynamic decision-making ability, a reinforcement learning model falls to the ground and breaks down, thermal management starting is extensive, and fault management and control are failed are solved, the battery temperature is accurately stabilized in the target interval, system energy consumption is dynamically optimized, and the vehicle end adaptability, the operation robustness and the whole vehicle safety guarantee ability of a thermal management system are greatly improved.

The utility model discloses a semitrailer driving simulation system, and belongs to the technical field of driving simulation training. Which comprises a cockpit, a main control circuit is arranged in the cockpit, and is characterized in that a semitrailer model is arranged, a model control circuit is arranged in the model, and a main controller circuit is in wireless connection with the simulation control circuit; the model comprises a vehicle body plate (10), a model control circuit and the vehicle body plate (10) are relatively fixed, a power unit and a steering unit are arranged at the bottom of the vehicle body plate (10), the model control circuit is connected with the steering unit, and front wheels (8) are symmetrically installed on the two sides of the steering unit. According to the semitrailer driving simulation system, by arranging the model in wireless connection with the cockpit and controlling the action of the model through the cockpit, the trainee can observe the driving state of the semitrailer at the third visual angle, and especially the training level of operation such as backing up of the semitrailer can be improved.

The application relates to a catheter control device, method and storage medium. The device comprises an acquisition module for acquiring a catheter radius, a real-time position of the catheter, a real-time respiratory amplitude of a target object and a first three-dimensional model; a determination module for determining a target object radius according to the real-time position; a first control module for controlling the catheter to run in a first branch of the target object according to a first registration matrix and the first three-dimensional model when the difference between the target object radius and the catheter radius is greater than a preset difference value; and a second control module for determining a second three-dimensional model according to the real-time respiratory amplitude, a preset respiratory amplitude, the real-time position, the first registration matrix and the first three-dimensional model, and controlling the catheter to run in a second branch of the target object when the difference between the target object radius and the catheter radius is not greater than the preset difference value. The method can improve the catheter control accuracy.

The application discloses a kind of fruit fly larva tumbling movement modeling and optimization method based on material point method.For the collaborative design challenge of larva tumbling movement model and the problem that traditional method relies on manual measurement data and training time-consuming, a neuro-mechanical model is designed combined with the biological characteristics of fruit fly larvae, and an artificial neural network based on deep learning is constructed as a model controller for training, and a hyperparameter optimization method based on TPE algorithm is designed.The above method is embedded into the differentiable programming framework, realizing the high integration and efficiency optimization of the method.The method can effectively simulate the tumbling movement behavior of fruit fly larvae and optimize it under limited computing resources.The soft body model with the biological characteristics of fruit fly larvae has the advantages of flexible movement and adaptation to complex environment.The application explores the optimal control strategy of fruit fly larvae tumbling process, simulates its interaction with complex environment, and provides an important reference for the design of fruit fly larvae-like soft robot in reality.

The invention relates to the technical field of hot-rolled strip steel production, in particular to a hot-rolled strip steel plate shape control method based on roll shape and model fusion. By optimizing part of parameters for calculating the convexity of the finish rolling inlet plate blank in the secondary control model, the control precision of the model is improved; meanwhile, by correcting the convexity range of working rolls of the F1-F2 racks, the roll shifting strategy is optimized, and the problem of medium waves in the strip steel rolling process is solved; according to the method, the roll shape of the four-time CVC working roll of the F3-F4 rack is optimized, the plate shape can be finely adjusted while the basic convexity is kept, and the problem that strip steel edge thinning control is not ideal is solved; the automatic convexity control gain coefficient is adjusted in real time, so that the self-adaptive closed-loop control of the whole process can be realized; the plate shape precision and the section quality of the hot-rolled strip steel can be effectively improved, then the production efficiency of products is greatly improved, the rejection rate, the repair rate and the spot rate of the products are reduced, the application prospect is wide, and large-scale popularization is easy.

The invention discloses a refrigerating machine room intelligent management and control system and method based on dynamic correction, and relates to the technical field of intelligent management and control. The system comprises a data acquisition module, a model management and control module, a scheme optimization module and an instruction execution module. The method comprises the steps of collecting and verifying full-link equipment operation data of a refrigerating machine room, and generating an initial adjustment scheme; deducing a linkage failure path caused by an adjustment action in the management and control model and quantifying the probability, rejecting over-limit adjustment content in combination with a dynamic failure probability threshold, and obtaining a target adjustment scheme through collaborative verification iterative optimization; and based on the failure rule correction model parameters, converting the target scheme into a time sequence regulation and control instruction to be issued and executed, and forming closed-loop management and control through execution effect verification. According to the method, the failure risk can be pre-judged and adjusted in advance, equipment regulation and control conflicts and cascading failures are avoided, the adaptive capacity of the model is improved, the operation energy efficiency and stability of the refrigerating machine room are improved, and the operation requirements of the efficient refrigerating machine room are met.

The present invention provides a simulation method for a retaining ring structure in a chemical mechanical polishing process, comprising constructing a CFD model of the chemical mechanical polishing process, dividing a fluid region into discrete grids, wherein the grids are non-repetitive control volumes, and within each control volume, using a momentum equation, a continuity equation, and a VOF model to control the motion of the polishing liquid fluid, and a DPM model to control the motion of the abrasive, integrating the momentum equation, the continuity equation, and the VOF model for each control volume to obtain a discrete equation, solving the discrete equation to obtain simulation data, the simulation data including abrasive motion data, plotting the abrasive distribution and the abrasive aggregation state on the polishing pad and / or the wafer edge based on the abrasive motion data, and having the beneficial effects of visualizing the polishing liquid / abrasive flow through a finite element method, helping to understand the influence of the retaining ring on the polishing liquid flow, providing a retaining ring structure improvement to solve wafer edge over-polishing, conforming to actual production processes, and having high simulation accuracy.

The present invention discloses the field of imitation learning in embodied intelligence, and in particular, a method for collaborative dexterous operation of both hands. This method proposes an innovative control framework, including a motion model and a classifier model, to address the high-freedom control and data collection problems of collaborative dexterous operation of both hands. The motion model includes a dual-arm model, a left-hand model, and a right-hand model, which respectively predict the motion instructions of the corresponding modules, decompose the high-freedom control process, and reduce the difficulty of model prediction; the classifier model outputs the category score of each module, and calls the motion model according to the classification result. In addition, for the training data of the four models, this paper proposes a modular collection strategy based on the existing remote control data collection method, which can effectively meet the training data requirements. The present invention decouples the two-hand collaborative control process and uses a classifier model and three motion models to achieve modular control, thereby effectively reducing the difficulty of model control and improving the success rate of two-hand collaborative tasks.

The invention provides an intelligent nursing system and method integrating personalized traditional Chinese medicine fumigation physiotherapy and active pressure protection, and belongs to the technical field of medical nursing equipment. The system comprises a treatment applicator with a non-treatment area and a treatment area, a patient state sensing module, a body pressure distribution sensing device, a posture adjusting mechanism and a control module. The control module executes two control logics in parallel: the first control logic controls the treatment intensity based on patient state data and a machine learning model to realize personalized physiotherapy; the second control logic adjusts the patient posture to achieve active pressure protection when the stress exceeds a threshold based on the body pressure data and an internal stress calculated by the biomechanical model. According to the invention, cooperative work of treatment and prevention is realized, and the comprehensive nursing quality is improved.

The invention relates to the technical field of textile machinery control, in particular to a key quality characteristic cooperative control method for an air-jet vortex spinning machine, and aims to solve the core problems of low strength, poor evenness and high fiber falling rate of air-jet vortex spun yarns in China. The method comprises the following steps: firstly, constructing a'strength-evenness-fiber falling rate 'multi-quality characteristic coupling relation model by utilizing a cross coupling technology, measuring the coupling degree of the three parts through an entropy coupling algorithm, and clarifying an interaction rule among the characteristics; then designing a fuzzy controller based on the Lie group theory and T-S fuzzy logic, tracking tension-detail-weak ring online data and solving an optimal'balance point '; combining expert knowledge and a least square support vector machine to construct a quality characteristic analysis model and a data deviation model, and integrating through a generic relationship theory to obtain a model controller; and finally, fusing the two controllers by using an H-infinity robust control theory to form a combined controller to realize cooperative control.

The invention belongs to the technical field of ship lock model control, and particularly relates to a double-line ship lock model control system which comprises a control panel used for controlling cooperative operation between a lock chamber A and a lock chamber B, water level control and mutual filling valves. Wherein the lock chamber A and the lock chamber B are arranged in parallel; when the lock chamber A needs to drain water and the lock chamber B needs to be filled with water, the lock chamber B opens the upper lock head and the mutual filling valve at the same time, the lock chamber B can take water from the upstream and the lock chamber A at the same time, when the water levels of the lock chamber A and the lock chamber B are flush, the mutual filling valve is closed, the lock chamber B continues to take water from the upstream, the lock chamber A opens the lower lock head, and the lock chamber A continues to drain water to the downstream; on the basis of completely independent operation of a common double-line ship lock, cooperative operation, water level control and mutual filling valve control between the lock chamber A and the lock chamber B are added, so that the lock chamber A and the lock chamber B can completely independently operate, do not interfere with each other and also can cooperatively operate to save water resources.

The application discloses a kind of to the curved method of cross-flow fan blade, device, cross-flow fan and vehicle.The method comprises the following steps: the accumulation line of the blade of the fan blade on the cross-flow fan is set as a modeling control curve, and a plurality of radial curve control points on the modeling control curve are determined;For each blade, based on the accumulation line modeling requirement, the blade top phase angle of the curve control point located at the top of the blade is adjusted and the blade top is reversed, the blade root phase angle of the curve control point located at the root of the blade is adjusted based on the preset control condition, and the preset control condition is the linear relationship between the blade root phase angle and the blade top phase angle.The application realizes the accumulation line modeling of eliminating noise by setting the blade top reverse bending, and since the blade top phase angle and the blade root phase angle are only limited by the linear relationship, the number of control points required to be adjusted is greatly reduced, and the design difficulty of the accumulation line when eliminating noise is greatly reduced.

The invention relates to a method for improving the adding precision of a denitration agent and controlling the response speed of a system, and belongs to the technical field of sintering desulfurization and denitration system control methods. According to the technical scheme, system operation state parameters are obtained through a sensor system, and a data training set is prepared; a denitration agent consumption prediction model is constructed, a data training set is used for learning, and model control parameters are obtained through online operation; constructing a cascade PID (Proportion Integration Differentiation) regulator which takes the NOx concentration of a chimney outlet as a set value and takes the frequency of an ammonia water motor as an output value in the L1 system; model control parameters serve as controller feedforward and are used for L1 closed-loop control, and the running frequency of the ammonia water motor is adjusted. The method has the advantages that the control precision of denitration agent adding and the response speed of an actuator can be remarkably improved, the method is suitable for various industrial application scenes, and the control effect can be continuously optimized through a machine learning model.

This invention relates to a P13 configuration electric drive assembly efficiency testing system and method. The testing system includes a bench control system, a model control system, a data acquisition system, a battery simulator, a first load motor, a second load motor, an engine simulator, a power analyzer, a first torque-speed sensor, a second torque-speed sensor, and a third torque-speed sensor. Employing the model control system, the system calculates the operating status of each component based on the target throttle signal sent by the bench control system and automatically operates each component according to the calculation results. The bench control system then acquires information from the data acquisition system and performs calculations to obtain the dynamic efficiency of the P13 configuration electric drive assembly, which matches the dynamic operating conditions of ordinary users, allowing for a comprehensive evaluation of efficiency under ordinary user operating conditions. This invention can simulate real-person driving conditions, and the system can operate automatically, realizing efficiency testing of the P13 configuration electric drive assembly under any dynamic cyclic operating conditions.

The invention discloses an aluminum oxide evaporation multi-stage flash tank control method based on model control, and the control method is used for stably and accurately controlling the temperature difference, liquid level and pressure parameters of each stage of flash tank in an evaporation process. The MPC model predictive control system intelligently analyzes the change of multi-parameter data to realize the output of control data, and module combination application can be carried out on different evaporation technological processes through a universal evaporation multistage flash tank MPC control module. Through a universal evaporation multistage flash tank MPC control module, a control method that a flash tank only controls a single parameter liquid level in a traditional method is changed into liquid level, temperature and pressure multi-parameter cooperative control. According to the method, the influence of multiple parameters on the flash evaporation intensity is considered, the problems that the aluminum oxide evaporation multi-stage flash evaporation tank is large in control fluctuation and prone to scabbing are solved, the control precision can be improved, the recovery amount of secondary steam is more stable, local concentrated scaling is avoided, and the equipment operation rate is increased.

1. The name of the design product: model remote control (T22). 2. The use of the design product: for model control. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: perspective view.

The invention discloses a method for screening diabetes treatment targets by using drosophila melanogaster as a model organism, and belongs to the technical field of biological medicines. According to the invention, a GAL4 / UAS system is utilized to construct transgenic drosophila melanogaster of which the specificity of a target gene (X) is knocked down, and F1-generation male ppl-GAL4 / + is obtained through hybridization; uAS-X RNAi / + drosophila melanogaster; compared with a high-glucose model control group with the same background, if the X gene knocks down, lipid droplet accumulation is reduced, and circulating glucose and trehalose are reduced (both have statistical significance, Plt, 0.05), the X gene is identified as a potential diabetes (abnormal glucose and lipid metabolism) treatment target. The method provided by the invention overcomes the problems of high cost, low efficiency, insufficient individuation and the like in the existing diabetes drug screening method, and provides an accurate, rapid, efficient and low-cost screening means for research and development of diabetes treatment drugs.

The invention relates to the technical field of data processing of a control system, in particular to an internal model control system based on real-time self-adaptive online identification of an industrial system, which comprises a real-time data acquisition unit for acquiring an actuator opening instruction value, an actual controlled system output value and a model controlled system output value; the deviation calculation unit outputs a deviation value between the actual output value of the controlled system and the output value of the model controlled system; the dynamic parameter identification unit generates a weight factor in a linear proportional relationship with the square of the deviation value, outputs an adjusted gain parameter when the weight factor is greater than a preset threshold value, and outputs an adjusted time constant parameter when the weight factor is smaller than the preset threshold value; the internal model control model updating unit reconstructs a transfer function model; the controller parameter optimization unit outputs an optimized actuator opening instruction value; and the control execution unit drives the execution mechanism to enable the actual controlled system output value to respond to the instruction change. According to the method, the problems of dynamic response degradation and steady-state error increase caused by fixed parameter model mismatch are solved.

The application discloses an augmented reality-based model control method and system and a head-mounted display. The method comprises the following steps: generating a tooth model corresponding to patient gum data collected by a mouth scanning device based on an augmented reality environment of the head-mounted display; when the augmented reality environment enters a model editing interface, triggering a mouth scanning software in the head-mounted display to execute a corresponding control instruction based on somatosensory interaction information collected by the head-mounted display, so that the tooth model changes in a manner matched with the control instruction. The control instruction can realize editing control of the tooth model, so that a doctor can see an intuitive and accurate three-dimensional model in a head portrait, and edit the tooth model conveniently and quickly by using somatosensory interaction behavior, thereby abandoning a traditional mouse keyboard+screen mode and completing editing control of the tooth model by using augmented reality.

The present disclosure provides a substrate conveyance device and a substrate conveyance method that can perform accurate motion control even when a conveyance object other than a substrate is conveyed using a substrate conveyance module. A control section of the substrate conveyance device adjusts a magnetic force of a first magnet provided at a bottom surface section of a substrate conveyance chamber, a substrate is conveyed by a substrate conveyance module provided with a second magnet, a parameter storage section stores model parameters for expressing a relationship between a work force applied to a control model and a motion, the control model is a model that expresses a conveyance object and the substrate conveyance module as a whole, a control time table creation section outputs a control time table that specifies a work force for causing the substrate conveyance module to act, using model parameters corresponding to the conveyance object and an action time table that specifies a motion of the substrate conveyance module. A magnetic force adjustment section performs feedforward control in which the magnetic force of the first magnet is adjusted to apply the work force based on the control time table.

It visualizes the concerns patients have and provides information that appropriately conveys what to communicate to medical professionals based on those concerns. [Solution] The display control method involves a computer causing a display device to display a screen for a user who has logged in to a patient-oriented system using specified user identification information, acquiring information on the name of the user's illness and the status of the user's treatment for the illness, displaying a plurality of different worry keywords on the display device according to the name of the illness and the status of the treatment for the illness, acquiring information on the worry keywords selected by the user from among the plurality of worry keywords, inputting the information on the worry keywords selected by the user and information on output conditions including conditions for generating a plurality of sentences with different perspectives that are to be conveyed by the user to a machine-learned model, and controlling the display of the display device so that information on the plurality of sentences output by the machine-learned model is displayed on the display device.

The invention relates to a method for designing a ducted contra-rotating blade fan based on blade swept shapes, which comprises the following steps of: controlling the inclination degrees of root and tip swept shape curves and middle swept shape straight lines by using control points, adjusting parameters of the control points to realize modeling control on spanwise stacking lines of front and rear blades, and according to the front and rear blades optimized by the swept shapes, designing the ducted contra-rotating blade fan according to the swept shapes. And updating the fluid calculation model of the ducted contra-rotating propeller fan to be optimized, and performing flow field calculation to obtain the isentropic efficiency of the ducted contra-rotating propeller fan until the absolute difference value of the isentropic efficiency is less than 0.1%, thereby obtaining the ducted contra-rotating propeller fan based on blade swept shape optimization. The flow field near the blades is adjusted by changing the swept shapes of the front and rear blades of the contra-rotating blade fan, the obtained swept-shaped blades can effectively improve the airflow attack angle of the blades, the shock wave intensity in channels near the blades and the loss of duct blade channels are effectively reduced, and the aerodynamic performance of the duct type contra-rotating blade fan is improved.

The utility model provides a kind of capsule robot device based on coil built-in exciting force drive, it is related to medical technical field.The utility model controls the axial pre-tightening force of magnetic field coupling drive module by pre-tightening force control module, effectively promotes the magnetic mechanical coupling efficiency of material, enhances the linearity and stability of exciting force output, secondly, by dynamic feedback control module, the motion state of capsule robot device is accurately controlled, closed-loop control is realized, and motion control precision is improved, then, by motion control module, the switching of the basic motion state and fixed-point fixed motion state of capsule robot device is realized, the positioning and inspection efficiency of pathological change position are improved, finally, by multi-module collaborative integration, device energy density is greatly improved, and high-reliability miniature driving solution is provided for robot endoscope, targeted drug delivery and other minimally invasive medical scenarios.

The application discloses a kind of model automatic training methods for coal-fired power plant DCS, it is related to coal-fired power plant DCS model automatic training technical field, method is embedded in the internal operation of coal-fired power plant DCS without external third-party platform;First, the dual-mode acquisition mechanism of combination of timing trigger and operating condition trigger is used, the operating parameters of each control subsystem under full operating condition are collected, the abnormal data is automatically removed to complete standardization processing to generate training data set, and is stored to DCS built-in real-time data pool;Then, the control model is constructed using the dual-drive mode of mechanism modeling and data-driven modeling, training verification and iterative optimization are automatically completed, and after the accuracy is up to standard, the model is updated through the DCS encryption security channel without disturbance, the model control effect is monitored in real time, and if the index is not up to standard, a new round of training is automatically triggered.The application does not need professional technical personnel to manually complete model training, debugging, downloading and other operations, greatly reduces the model operation and maintenance cost, and the updating efficiency is significantly improved.

The invention relates to the technical field of electromechanical control, in particular to a dental electric motor rotating speed control method and system for a dental chair, and the method comprises the steps: obtaining a torque constant of a dental electric motor, a current time node and current data of a plurality of historical time nodes; the product of the current data obtained at each time node and the torque constant is used as the instantaneous load at each time node; taking the mean value of the instantaneous loads under each time node as a dynamic reference load, calculating a load ratio and a load gradient under each time node, constructing a calibration hardness index based on the load ratio and the load gradient, and improving a loss function in the machine learning model based on the calibration hardness index; and predicting the running state of the dental electric motor at the next moment by using the improved machine learning model, and controlling the starting and stopping of the rotating speed of the dental electric motor based on the running state. The problem that an existing model is poor in control effect is solved.