285results about How to "Solve instability" patented technology

The invention relates to the technical field of automatic loading and logistics control, in particular to an automatic powder loading device based on visual identification, which comprises a visual identification module, a flexible grabbing module, a transfer module and a stacking module, the form, internal distribution and material characteristic data of the powder bag are obtained through a multi-mode sensor, a grabbing path is generated, and grabbing operation is completed through a flexible manipulator; the transfer module dynamically adjusts the transportation state of the powder bag in combination with path optimization and posture monitoring; the stacking module monitors stress of a stacking layer in real time on the basis of the stacking thermal distribution diagram, adjustment suggestion data are generated, stacking position and angle optimization is completed through a self-correction unit, and the stability of a stacking structure is ensured; the powder loading efficiency, the stacking precision and the long-term stability are remarkably improved, and the method is suitable for efficient logistics management of complex loading scenes.

The invention provides a potential diffusion model-based building planning image generation method and system. The method comprises the steps of data preprocessing, potential diffusion model structure improvement, input condition optimization, model training, image generation and the like. The relevance between text description and architectural styles is enhanced by preprocessing data sets of architectural design images and urban planning images and introducing channel crossing and space crossing attention mechanisms. Meanwhile, an architectural style embedding vector, an architectural description text embedding vector and a geometric information embedding vector are combined as additional input conditions to ensure that the generated image contains complete information. In a model training process, a multi-scale strategy and depth separable convolution are adopted, so that the recognition capability and training efficiency of the model to a large scene are improved. The system comprises a data preprocessing module, a model optimization module, a model training module, an image generation module and the like, and can generate a high-resolution building image conforming to design specifications. The method and system can be widely applied to the fields of building design and urban planning, and design efficiency and accuracy are improved.

The invention relates to an optical storage and charging alternating current and direct current hybrid micro-grid construction control method and device and a medium. According to the method, level-to-level management is carried out on an energy storage converter according to an SOC value of an energy storage device. And the converter with the high priority is switched to a VSG mode, and whether the voltage and frequency fluctuation of the micro-grid exceeds an adjustment dead zone or not is detected. When the frequency fluctuation is exceeded, active power output is adjusted through a VSG mode; when the voltage fluctuation is exceeded, the reactive power output is adjusted. And the energy storage equipment is switched to the VSG mode step by step, and when the requirements cannot be met, the photovoltaic equipment and the electric automobile support power grid are put into use in sequence. Before the photovoltaic equipment is connected, the voltage of the photovoltaic equipment is synchronized to be consistent with that of the connected energy storage equipment, and the VSG mode is converted. And if further support is still needed, the electric vehicle is used for feeding by adjusting a charging pile control algorithm. And the voltage and the phase need to be synchronized before the electric vehicle is connected so as to cooperatively support the micro-grid. According to the method, the voltage and frequency stability of the micro-grid system is remarkably improved.

The invention relates to the technical field of intelligent power grids, in particular to a grid-connected control method for an improved RBF (Radial Basis Function) network construction type converter with active support capability. The method comprises the following steps: firstly, taking a group of initial values in a VSG system virtual inertia and equivalent damping coefficient parameter value range; determining an initial angular frequency according to the initial value and a swing equation; a VSG secondary control system is improved, an improved phase self-tracking pre-synchronization method without a phase-locked loop is added, a voltage deviation signal is responded, a frequency phase is compensated, and the rotational inertia and the damping coefficient of the system are adjusted in real time to respond to the change of the system state. According to the neural network, the virtual inertia, the damping coefficient and the angular velocity compensation amount are adaptively adjusted, and whether parameters accord with criteria is compared, so that the input parameters are corrected, the influence of disturbance on the system frequency and the output active power is reduced, the dynamic response process of the system is improved, and the stability of the system is improved. And system output power distribution errors and overshoot caused by a rotor motion equation are reduced.

The invention relates to the technical field of petroleum drilling engineering, and discloses a method and system for maintaining shale oil borehole wall stability under hydration, and the method comprises the following steps: measuring mineral components, pore distribution and permeability anisotropy of shale in a shale oil experimental area to obtain shale related parameters; based on shale related parameters, performing a mechanical experiment on the shale sample, testing mechanical properties of a dry shale core under different confining pressures, and determining an upper and lower limit included angle of shale bedding surface damage; under the soaking of different drilling fluid systems, the strength data of the shale sample is corrected, and the shale strength criterion is perfected; determining a drilling fluid safety density window of the target layer based on actual measurement data of shale in the shale oil experimental area; based on the drilling fluid safety density window, well wall stability control under the engineering condition is carried out. According to the method, the well wall stability control technology is determined by determining the drilling fluid safety density window of the target layer, and technical support is provided for effectively maintaining the well wall stability in gulongshale oil drilling.

The invention relates to the technical field of 3D printing control, in particular to a 3D printing control method and system. The method comprises the following steps that a piezoelectric ceramic actuator is used for conducting pulse plastic melting state collection on a 3D printing nozzle, and plastic melt pulse monitoring data are generated; carrying out damping coefficient fitting on the plastic melt pulse monitoring data, and carrying out PID control instruction parameter dynamic adjustment to obtain a plastic melt flow extrusion control strategy; obtaining a target 3D printing model; and intelligent 3D printing control optimization is conducted on the target 3D printing model through a plastic melting flow extrusion control strategy, and an intelligent 3D printing control strategy is obtained. The micro sensor is integrated in the printing nozzle to collect melt flow data in real time, and printing parameters are dynamically adjusted, so that the flow behavior of the high-viscosity plastic melt is accurately controlled, and the surface quality and the size precision of a 3D printing piece are effectively improved.

The invention discloses a rod core, a punching type implant as well as a preparation method and application of the punching type implant. The rod core comprises a drug-containing layer, and the drug-containing layer comprises active drugs and auxiliary materials. The auxiliary materials comprise sustained and controlled release auxiliary materials; the molecular weight of the sustained and controlled release auxiliary material is 10000-10000 thousands; the medicine-adjuvant ratio is 1: (0.01-100); the medicine-adjuvant ratio represents the mass ratio of the active medicine to the adjuvant in the medicine-containing layer; optionally, the rod core of the punching type implant also comprises a boosting layer compounded on the medicine-containing layer. The implant provided by the invention can be suitable for most drugs, and can realize long-acting release of the drugs.

The invention provides a power system minimum inertia demand assessment method. Firstly, a regional system load level and detailed parameters of each installed unit are obtained; and then, taking a target function that a difference value between the search and the initial expected kinetic energy meets a first preset condition, and constructing a feasible inertia operation point optimization search model of the power system. Then, a feasible inertia operation point meeting an objective function and a constraint condition is searched based on the model, and a multi-machine frequency response model is constructed; and performing simulation calculation on a frequency dynamic change process under expected disturbance through the model to obtain a disturbed frequency dynamic process calculation result. If the result meets the frequency requirement, determining an evaluation result of the lowest inertia demand of the power system based on the frequency requirement; and if not, carrying out adaptive correction on the initial expected kinetic energy to obtain first expected kinetic energy, and substituting the first expected kinetic energy into the step to carry out iterative calculation repeatedly. According to the method, through continuous optimization and adjustment, the minimum inertia demand of the power system is accurately evaluated, and stable operation of the system is ensured.

The invention belongs to the technical field of visual training, and particularly relates to a multi-dimensional visual training feedback method for improving binocular fusion visual and stereoscopic visual functions, and the method comprises the following steps: carrying out medical baseline detection, generating an initial ability portrait through visual function evaluation and cognitive ability testing, matching training difficulty parameters, and generating a personalized scheme; multi-modal game training is carried out, training types comprise gamification training, animation scene training and offline family task training, and the training difficulty is dynamically adjusted; a tutor performs remote one-to-one guidance, and dynamically adjusts a training scheme according to a change report by tracking the training progress in real time; and the system performs multi-dimensional effect evaluation and self-optimizes a difficulty prediction algorithm. According to the method, the problems of dull training and passive participation, scheme stiffness and execution deviation, single stimulation and cognitive load, scene limitation and continuous interruption are solved.

The invention relates to a method for stabilizing a well wall through cooperation of a wall fixing agent for marine hydrate drilling fluid and a temperature and pressure field and application of the wall fixing agent and the temperature and pressure field, and belongs to the technical field of natural gas hydrate development. A mud cake is embedded into an unsteady state mass and heat transfer model, a sea area natural gas hydrate drilling fluid-solid-heat-chemical multi-field coupling model is constructed, parameters such as the dosage of a drilling fluid wall fixing agent and the temperature and pressure of drilling fluid are dynamically adjusted, and the stable state of a well wall is judged in real time according to the improved hydrate reservoir Mohr-Coulomb criterion. And the borehole wall instability risk is rapidly reduced by dynamically adjusting drilling fluid parameters (the concentration of a wall fixing agent and the temperature or pressure of the drilling fluid), and the borehole wall stability of marine hydrate reservoir drilling is achieved.

The invention discloses an electrified transformation fused salt energy storage and steam supply system in the petrochemical industry, and relates to an energy storage and steam supply system. The invention aims to solve the problem of excessive carbon emission in the production process of the existing petrochemical industry. The system comprises a groove type heat collecting system, a hot salt pump, a hot salt tank, a cold salt pump, a cold salt tank, a superheater, an evaporator, a preheater, a front preheater, a deaerator and a water feeding pump, the cold salt pump pumps fused salt in the cold salt tank into the groove type heat collecting system, and the hot salt pump sequentially pumps fused salt in the hot salt tank into the fused salt side of the superheater, the evaporator and the preheater from top to bottom; a water feeding pump sequentially pumps feed water in a deaerator into the water / steam side of the front preheater, the preheater, the evaporator and the superheater from front to back, fused salt and the feed water exchange heat in the pumping process, and superheated steam generated by heating the feed water enters a main steam system, the front preheater and the deaerator through a steam outlet of the superheater. The method is used for electrified transformation of fused salt energy storage and steam supply in the petrochemical industry.

The invention relates to the technical field of steady-state balance of an electric power system, and discloses a current transient fusion and steady-state balance method based on intelligent control, which comprises the following steps of: based on a transient current fluctuation signal in the electric power system, obtaining a current fluctuation amplitude, a voltage fluctuation amplitude and a frequency, and measuring the current fluctuation amplitude and the voltage fluctuation amplitude by measuring the variation amplitude of the current and the voltage; and calculating the change rate of the fluctuation amplitude and the frequency, and comparing the change rate with a preset threshold value to generate a transient fluctuation state signal. According to the method, transient fluctuation state signals are obtained through a particle swarm optimization algorithm, the distribution condition of current loads of all nodes is accurately calculated, fine adjustment is carried out, load balance is ensured, the stability and response speed of the system under transient disturbance are improved, a language type fuzzy system is adopted, and when transient current and steady current are fused, the stability of the system is improved. According to the actual energy distribution state, the optimal fusion mode is intelligently selected, efficient utilization and distribution of energy are achieved, and the long-term operation stability and safety of a power system are enhanced.

The invention discloses an induction type program control electric guiding method and device, and relates to the technical field of medical instruments. According to the inductive program-controlled electric guiding method and device, neural electrophysiological signals of an epilepsy origin area are acquired and detected in an inductive mode, and the neural electrophysiological signals of the epilepsy origin area can be monitored in real time; establishing an epilepsy prediction model based on potential difference characteristics, and calculating an epilepsy identification prediction result according to an epilepsy identification rule; meanwhile, by arranging the subscalp low potential generation module, the stability of the potential difference of the neural electrophysiological signals in the epileptic origin area is achieved, the problems that in-vitro low potential is unstable and the potential difference is not large enough during epileptic seizure are effectively solved, and the treatment effect of epileptic seizure intervention is greatly improved.

The invention relates to the field of graphic generation technology, and in particular to an AIGC-based video animation intelligent generation system, comprising: a collector for inputting a basic picture and a target picture vocabulary; a target editor for generating a target picture corresponding to the basic picture according to the target vocabulary; a mapping compiler for determining static key points and key mappings between the basic picture and the target picture according to a basic mapping mode, and determining a target moving line of the animation according to the key points and key mappings according to an action mapping mode; an action inserter for generating a plurality of intermediate pictures according to a preset number of frames according to the target moving line, and connecting the basic picture, the plurality of intermediate pictures and the target picture according to the target moving line to form an animation; the invention segments a video, and simulates corresponding actions by using a model, so that the animation produced by using the AIGC can run continuously, and effectively improves the video quality and the continuity of the animation operation.

The invention relates to the technical field of sewage treatment, in particular to an aerobic granular sludge rapid culture method which comprises the following steps: S1, dewatering excess sludge of a municipal sewage treatment plant; s2, adding activated carbon and stirring to form a mixture A; s3, adding a pre-prepared nutrient solution into the mixture A; s4, inducing the sludge to be granulated, so that the sludge gradually forms a granular structure; s5, regularly adding a solution containing Ca < 2 + > and Mg < 2 + > into the preliminary particle structure; s6, adjusting the hydraulic retention time in the reactor to form a mixture of granular sludge and suspended sludge; s7, collecting granular sludge meeting the particle size requirement; s8, carrying out dehydration and drying treatment on the collected granular sludge; according to the invention, the overall efficiency of sewage treatment is improved by optimizing the sludge granulation process, accurately controlling various parameters, simplifying the operation steps, shortening the granulation time and enhancing the stability of sludge particles.

The invention provides a method for producing methyl pentamethylene diamine and methylpiperidine through hydrogenation of methyl glutaronitrile, and belongs to the technical field of chemical engineering. Comprising the following steps: a mixed solution of 2-methylglutaronitrile and a hydrogen-dissolving solvent passes through a feeding pump and a preheater, and enters the lower part of a pipeline reactor together with a liquid-solid phase mixed material from a high-pressure circulating pump, hydrogen enters a gas distributor at the bottom of the pipeline reactor, and a formed gas-liquid-solid three-phase material is subjected to a catalytic hydrogenation reaction in a rising process from the bottom of the pipeline reactor; carrying out gas phase separation; unreacted hydrogen is circulated; and liquid-solid materials at the bottom of the high-pressure gas-liquid-solid phase separator are returned to the pipeline reactor through the high-pressure circulating pump. A middle produced liquid phase is sent to a low-pressure liquid-solid phase separator through pressure reduction, a catalyst separated at the bottom is recovered to a catalyst preparation system, the middle produced liquid phase enters a hydrogen-dissolving solvent recovery tower, a hydrogen-dissolving solvent recovered at the tower top is sent back to a raw material tank, and a product is obtained at the tower bottom. The method is more stable, reaction and separation equipment are small in size, and the production capacity is high.

The invention discloses a fixed-time robust encircling control method for a multi-robot system under a switching topology, and the method comprises the steps: building a dynamic model of the multi-robot system under a multi-leader mode, defining the related concept and control target of encircling control, building a multi-robot system encircling control model under the switching topology, and carrying out the fixed-time robust encircling control of the multi-robot system under the switching topology; according to the method, switching topology attributes are defined, conditions which need to be met by switching topology are provided, setting time of fixed time convergence constraint under the switching topology conditions is defined, then an estimator based on an RBF neural network is designed, compensation is carried out through an unknown interference estimation item obtained by substituting the estimator, and a robust encircling controller under the switching topology is designed. And the controller is substituted into the multi-robot system dynamic model to obtain a closed-loop error system, and fixed-time encircling control under the switching topology is realized. According to the method, adverse effects caused by topology switching and external disturbance in the multi-robot system can be effectively suppressed, so that the robustness and effectiveness of a multi-robot encircling control scheme are improved.

The invention discloses a bacteria-algae symbiotic sewage treatment device which comprises a sewage treatment device body, and the sewage treatment device body comprises a reaction cavity on the outer layer and a filtering and stirring cavity on the inner layer; light collecting mechanisms are arranged on the top and the outer layer of the reaction cavity; the reaction cavity contains immobilized algae balls and good granular sludge; a light supplementing mechanism, an aeration mechanism, a filler body and a temperature adjusting mechanism are arranged in the reaction cavity; the light collecting mechanism is used for collecting natural light and converging the natural light into the reaction cavity; the light supplementing mechanism is used for supplementing light to the reaction cavity; the aeration mechanism is used for improving the gas conductivity; the filler body provides a symbiotic environment for microorganisms and algae; the temperature regulator is used for regulating the temperature in the sewage treatment device body. The sewage treatment device has good nitrogen and phosphorus removal treatment capacity on sewage, and pollutants and heavy metal ions in the sewage are effectively removed.

The invention discloses high-steady-state vitamin B1 micro-capsule powder applied to soft capsules and a preparation method. The micro-capsule powder is prepared from the following raw materials in parts by weight: 10-65 parts of a vitamin B1 core material, 10-30 parts of a wall material, 0.5-2 parts of a small molecular emulsifier and 5-35 parts of a filler, the wall material is prepared from starch sodium octenylsuccinate and pectin in a mass ratio of (1.5-5): 1; and the mass ratio of the wall material to the core material is not greater than 1: 2.3. Compared with the prior art, the vitamin B1 microcapsule powder prepared by the invention can effectively delay degradation of vitamin B1 in soft capsules and solve the problem that the vitamin B1 soft capsules are unstable within the shelf life, has higher stability in the soft capsules, meanwhile, the loading capacity of effective components is higher, and the production efficiency is greatly improved.

The invention belongs to the technical field of water-saving intelligent control, and discloses a water-saving intelligent control setting method and system for water supply equipment. Parameters such as outlet pressure of the water supply equipment and outlet pressure at the tail end in a coverage area of the water supply equipment are calculated by adopting algorithms such as polynomial linear regression, least square estimation and support vector machine prediction; finding out a change relation between parameters such as terminal monitoring pressure parameters and outlet pressure, establishing a corresponding correlation model, finally establishing a control model taking the most unfavorable point monitoring parameters as variables, collecting real-time data, inputting the model, calculating the running power of the water pump at the current moment, and adopting a machine learning algorithm to calculate the running power of the water pump. The water supply pressure of the water pump at the next time interval T is predicted, finally, a corresponding trend chart is generated, an instruction is given to the water supply pump, the water supply pump operates according to the trend chart, constant tail end pressure is guaranteed, and finally the aim of saving energy and water is achieved on the premise that water consumption of users in the area is guaranteed.

The invention relates to a method for stabilizing a track of a queuing vehicle at an intersection based on a 4D millimeter wave radar, and the method comprises the steps: obtaining 4D millimeter wave radar point cloud data and road calibration information; preprocessing the millimeter wave radar point cloud data according to the intersection calibration information; dBSCAN clustering is carried out on the preprocessed 4D millimeter wave point cloud; associating the generated track with the clustered bounding box, and generating a new track from the unassociated clustering box; after the track enters the queuing area, queuing area track management is realized according to track indexes of front and back frames of lanes, K-Means clustering is performed on the point cloud of the queuing area according to the track index of the current frame of lanes, and the track of the queuing area is associated with the clustering after clustering; and outputting stable track information.

The invention provides a vehicle door control method, device and system, a vehicle and a storage medium. Specifically, after a vehicle door active control instruction for controlling a target vehicle door to be opened or closed is received, position parameters of the target vehicle door can be obtained firstly. And then controlling a target motor to move the target vehicle door according to the position parameter of the target vehicle door. Along with the movement of the target vehicle door, the position parameter of the target vehicle door can meet the first switching condition. After it is determined that the first switching condition is met, the moving speed parameter of the target vehicle door can be calculated according to the position parameter of the target vehicle door, and the target motor is controlled to move the target vehicle door according to the moving speed parameter of the target vehicle door. Therefore, closed-loop control is carried out based on the position when the speed of the motor is low, and closed-loop control is carried out based on the speed when the speed of the motor is high, so that the problem that closed-loop control based on the speed is unstable at a low-speed section is solved. In this way, the target vehicle door can be stably controlled to be opened or closed.

The invention discloses a mining core drilling sampling device, and relates to the technical field of mining core drilling, the mining core drilling sampling device comprises a core drilling mechanism, the front side of the bottom of the core drilling mechanism is fixedly connected with a front supporting leg, the rear side of the bottom of the core drilling mechanism is fixedly connected with a rear supporting leg, and the front sides of the left side and the right side of the core drilling mechanism are rotatably connected with side face positioning mechanisms respectively; the core drilling device comprises a core drilling mechanism, the bottom of the core drilling mechanism is movably connected with a protection mechanism, the core drilling mechanism comprises a rectangular connecting rod, the inner wall of the rectangular connecting rod is designed to be hollowed out, and a connecting rod rear groove is formed in the rear side of the rectangular connecting rod. Dust splashing in the core drilling and sampling process can be effectively prevented, an effective isolation barrier is formed between an operator and a dust splashing area to protect the safety of the operator, accurate positioning can be conducted through a side face positioning mechanism under the special conditions of irregular end faces and the like, and the safety of the operator is improved. The success rate of the sampling process is improved.

The application discloses a data-driven optimal control method for a grid-connected inverter. The method comprises the following steps: constructing a DeePC optimization controller of the grid-connected inverter on the grid side; acquiring a data matrix of the grid-connected inverter in a preset historical period and an initial trajectory after a preset adjacent period, inputting the controller, setting parameters for different control targets and types of the grid-connected inverter, outputting an optimal input data sequence after processing, generating a sinusoidal pulse width modulation wave signal and acting on the grid-connected inverter, and realizing data-driven optimal control. The method can automatically perceive and adapt to the dynamic characteristics of the actual power grid through real-time data-driven predictive control, can present or enhance the control behavior of the grid-constructing or grid-following inverter by modifying the cost parameters, can realize multi-mode flexible, optimal and coordinated control, has excellent dynamic response and steady-state performance, is beneficial to safe and stable operation, and improves the ability to adapt to complex and variable operating conditions and power grid strength.

The invention discloses a microgel bead coated polypeptide anti-aging composition and a preparation method thereof. The microgel bead coated polypeptide anti-aging composition comprises a phase A, a phase B and a phase C, the phase A also comprises purified water, a film-forming agent, a thickening agent, glycerol, butanediol, a humectant and sodium hyaluronate; the phase B also comprises beta-glucan, glycosylglycerol, a bletilla striata extract, ergothioneine, a rosa multiflora flower extract, a mussel extract, an antiseptic synergist, hydroxypropyl tetrahydropyrantriol and an emulsifier; the phase C further comprises jojoba oil, sodium alginate, gellan gum, chondrus crispus powder, acetyl hexapeptide-8 and acetyl octapeptide-3; according to the microgel bead coated polypeptide anti-aging composition and the preparation method thereof, acetyl hexapeptide-8 and acetyl octapeptide-3 are coated with microgel beads, so that the effects of acetyl hexapeptide-8 and acetyl octapeptide-3 can be better exerted, a series of unstable problems of active peptides are solved, and the anti-aging effect of the composition is improved. And the two active peptides are complementary to anti-aging and anti-wrinkle products in mechanism, so that the effect that 1 + 1 is greater than 2 is achieved.

The invention discloses odor and formaldehyde removal dispersion liquid and a preparation method thereof, and belongs to the technical field of environment-friendly products. The odor and formaldehyde removal dispersion liquid comprises the following components: 5-10 wt% of porous active particles; 0.01 wt% to 0.02 wt% of nano cluster copper; 1 to 3 wt% of an antibacterial metal complex; 3-5 wt% of an organic solvent; 0.1 to 0.3 wt% of a dispersant; a surfactant: 0.05 to 0.1 wt%; and the balance of water. Through multiple compounding of a micro-nano porous material, titanium dioxide, nanocluster copper particles, a metal complex and the like, odor and formaldehyde removal functions of physical adsorption and chemical decomposition are realized. The prepared odor and formaldehyde removal dispersion liquid can be applied to odor and formaldehyde removal coatings, sprays, finishing agents and other products, and prominent functions are achieved.

The invention discloses a mixer intelligent control method based on emulsified asphalt mixture material properties, which is characterized in that a hydraulic motor for driving a mixer is provided with a sensor assembly, and the sensor assembly comprises a torque sensor, a rotating speed sensor, a temperature sensor, a particle size sensor and a selective resistance sensor; a sensor collects signals, a convolutional neural network carries out data processing, feature extraction, deep learning generation of an adversarial network, online abnormity monitoring and fault diagnosis and prediction to form global features, the global features are sent to a controller and a human-computer interface for intervention, and the operation parameters of the mixer are adjusted in real time. According to the invention, the problems of inconsistency and easy instability of power response characteristics at different working points are solved, and the power control precision is improved; according to the invention, automatic power adjustment of the mixer is ensured, and the road mixing and paving construction quality is greatly improved; the problem that the emulsified asphalt mixture is easy to block in the mixing process is solved.

A method and system for identifying wireless communication devices based on radio frequency fingerprinting is disclosed. The receiver extracts radio frequency fingerprint features from the wireless signals transmitted by the wireless communication device to identify its identity. The method includes: Step 1. Pre-training a feature extraction network and a classification head using known device label data; Step 2. Jointly estimating the number of known and unknown device categories in the mixed signal through feature space stripping and effective rank estimation; Step 3. An adaptation phase, freezing the anchor points of the known class classification head and constraining the anchor points of the unknown class to actively guide isolation; Step 4. Obtaining pseudo-labels by performing semantic geometric registration on unlabeled samples based on balanced entropy regularized optimal transmission; Step 5. Adaptively training the feature extraction network based on progressive manifold anchoring and reliable pseudo-replay; Step 6. Outputting the identity of the device to be identified using the trained feature extraction network and a unified classifier. This invention solves the stability-plasticity dilemma of known class forgetting and unknown class confusion, achieving accurate device identification and number estimation in dynamic environments.

The invention provides a dynamic control method and system for a steam power system, and relates to the technical field of steam power systems. The method comprises the steps that the steam power system is divided into a plurality of control subsystems, and input information and output information of the control subsystems are determined; respectively establishing a plurality of subsystem linear model families based on the development degrees of different control subsystems; obtaining a corresponding controller sequence according to the subsystem linear model family; respectively inputting current input information into the control subsystem and the subsystem linear model family to correspondingly obtain a physical output quantity and a model output quantity; obtaining an arbitration vector according to the physical output quantity and the model output quantity; and selecting an optimal controller from the controller sequence based on the arbitration vector, and realizing dynamic control of the steam power system by using the optimal controller. According to the method, the problems that the steady-state control precision of the steam power system is weakened and the dynamic response performance is reduced due to development of equipment characteristics of the steam power system in a long life cycle are solved.

The invention relates to a composition with effects of caring and relieving sensitive skin and application of the composition in cosmetics. The invention provides the composition containing the citrus fruit extract, the ceramide and the wild soybean seed extract, the composition can balance skin microbial flora and relieve skin, meanwhile, the sunscreen effect is remarkably improved, irritation of chemical preservatives, essence sensitization sources and irritant whitening components (such as nicotinamide) to the skin can be reduced, and the skin whitening effect is improved. Meanwhile, synergistic interaction with nicotinamide can be achieved, and the whitening effect is enhanced. The composition also has an antibacterial effect, the dosage of a preservative can be reduced, and the product safety is improved. In addition, the composition is used as a raw material to prepare a liposome microemulsion with a small particle size, and the problem that ceramide is unstable in a system is solved. The composition and the lipidosome microemulsion prepared from the composition have very good application prospects in the aspects of skin micro-ecology balancing, skin soothing, sunscreen and whitening cosmetics.