24results about How to "Feasible" patented technology

The invention belongs to the technical field of cosmetics, and particularly relates to a skin-color-uniformizing whitening composition derived from plant extracts and application of the skin-color-uniformizing whitening composition. The whitening composition provided by the invention is prepared from the following components in parts by weight: 10 to 15 parts of saussurea involucrata extract, 1 to 8 parts of dendrobium officinale extract, 1 to 5 parts of wood apple extract and 0.5 to 5 parts of banana fruit extract. The four plant extracts are synergistically compounded, transdermal absorption of active ingredients can be promoted, the tyrosinase inhibition rate is effectively increased, and the skin glossiness and whiteness are improved, so that the effects of whitening, brightening and uniformizing the skin color are achieved, the whitening composition is mild and non-irritant, the preparation method is simple and convenient to operate, and the whitening composition has large-scale production capacity and industrial feasibility. When the whitening composition is applied to skin care products such as face cream, the whitening and brightening effects of the face cream can be effectively improved, and the whitening composition has wide market application value.

The invention relates to a self-adaptive evaluation and precise learning path generation system based on a knowledge graph. The method comprises the following steps: constructing a standard knowledge graph and an error region knowledge graph; performing misunderstanding mode matching based on the learning interaction data of the students, updating the misunderstanding knowledge graph of the students, and generating a personal misunderstanding knowledge graph of the students; setting a graph conversion operation from the student personal misunderstanding knowledge graph to a standard knowledge graph, and determining a target graph conversion operation sequence through a search algorithm by taking the student personal misunderstanding knowledge graph as an initial state and taking a sub-graph corresponding to a learning target in the standard knowledge graph as a target state; the target image conversion operation sequence is a personalized learning path. The problems that cognitive errors are difficult to eradicate and learning paths are poor in adaptability can be effectively solved, and meanwhile by means of scientific cost evaluation and an intelligent search algorithm, it is ensured that the generated learning paths conform to student individual cognitive characteristics and have high efficiency and feasibility.

The invention discloses an active power distribution network flexibility improvement method and system based on intelligent soft switch optimization, and the method comprises the steps: firstly constructing a network flexibility evaluation framework, and then constructing a deterministic planning model of intelligent soft switch optimization configuration based on an obtained flexibility evaluation index. Based on the deterministic planning model, introducing a scene-based maximum and minimum regret value method, and constructing an intelligent soft switch optimal configuration robust planning model; and finally, solving and verifying the model. According to the method, the maximum permeation capacity range of renewable energy is defined as a flexibility index, and the uncertainty of a new energy high-permeation scene can be more efficiently adapted; the economy and the flexibility of the power distribution network are considered through dual-objective optimization; the robust method based on the scene is adopted for solving, all considered renewable energy output fluctuation scenes can be covered, it is ensured that the obtained scheme has feasibility under various fluctuation working conditions, and the operation stability and the anti-interference capacity of the power distribution network are remarkably improved.

The invention belongs to the technical field of coal mine safety, and particularly provides an underground coal mine press-in type rear mixed liquid injection device and method. The invention discloses an underground coal mine press-in type rear-mounted mixed liquid injection device. Comprising a clear water pump station, a sensor group, pipelines, a liquid storage tank, a mixer, a liquid injection pipe, a controller and a liquid injection mechanism, a main body of the mixer is a closed cylindrical container, the mixer is provided with a liquid inlet and a liquid outlet, the liquid inlet is communicated with the water pump station and the liquid injection mechanism through the pipelines, and the liquid outlet is communicated with the liquid injection pipe through the pipeline. The controller and the liquid injection mechanism are both assembled on the liquid storage tank, and the liquid injection pipe is inserted into the drill hole. Real-time high-precision liquid injection output regulation and control are realized, so that a post-mixed liquid injection scheme has feasibility; meanwhile, according to the post-mixed liquid injection scheme, corrosion of a corrosive solution to the supercharging equipment is effectively avoided, and the stability and safety of the coal mine supercharging equipment are improved; and the injection operation of the solution is automatically controlled, so that the liquid adding operation of personnel during construction is avoided.

The invention provides an intelligent management method and platform based on construction safety penetration type management. The method comprises the following steps: constructing a construction safety state structural body of a construction site; designing a task priority scoring function to calculate scheduling priority scores of the tasks, and generating a security task set based on the scheduling priority scores; obtaining a recommended candidate person set, sorting the final scheduling scores according to the scheduling priority scores, selecting the candidate person with the maximum final scheduling score score to assign the task, and performing final scheduling score calculation on all candidate persons to obtain a scheduling output structure; the recommended candidate person and member set comprises a plurality of candidate persons and members; and issuing a task instruction according to the scheduling output structure, and calculating the task completion degree based on the multi-source verification information to confirm whether the task is actually executed and closed in a compliance manner. A full-chain management system is formed, and penetrating type landing of construction safety management is truly achieved.

The present application relates to the technical field of electrical system design, and particularly relates to a spacecraft electrical system interconnection component path planning optimization method and system. The method comprises the following steps: obtaining interconnection component data; constructing adjacency relationship according to the interconnection component data to obtain component adjacency data; selecting a beam splitting point according to the component adjacency data to obtain beam splitting point data; estimating point port cost of the beam splitting point data to obtain point port cost data; generating a control linkage graph according to the component adjacency data to obtain control linkage graph data; generating an interpretation field according to the control linkage graph data to obtain interpretation field data; determining the splitting benefit of the point port cost data and the interpretation field data to obtain splitting benefit data; and evaluating the hard constraint of the splitting benefit data to obtain beam splitting point feasibility evaluation data. The present application realizes the constraint of the beam splitting point position and the control semantics, effectively avoids the cross-stage control reversal and redundancy failure problems.

The invention relates to the technical field of simulation, and discloses a dinosaur gait simulation method and device, a bionic dinosaur and a storage medium, and the method comprises the steps: obtaining standardized gait parameters based on collected motion gait data of at least one reference organism having a related relationship with a target dinosaur; constructing a three-dimensional skeleton model based on fossil morphological data of the target dinosaur, and determining a biomechanical constraint condition based on the three-dimensional skeleton model; mapping the standardized gait parameters to a three-dimensional skeleton model, and optimizing a mapping result in combination with a biomechanical constraint condition to obtain optimized gait parameters; and performing dynamic simulation verification on the optimized gait parameters in a physical simulation environment to obtain a dinosaur gait simulation model. According to the method, the reasonability of dinosaur gait simulation can be improved, and the simulation result is more accurate.

The utility model discloses a structure capable of realizing quick disassembly of a battery, which comprises a first shell, a second shell and a disassembly piece, and a battery module is arranged in a battery bin formed by enclosing the first shell and the second shell; a first buckle is arranged on one side of the first shell, and a second buckle is arranged on the other side of the first shell; a first clamping groove and an unlocking hole are formed in one side of the second shell, and a second clamping groove is formed in the other end of the second shell; the first buckle and the second buckle are respectively clamped with the first clamping groove and the second clamping groove from the inner side of the second shell; and the first buckle is extruded by inserting the dismounting piece into the unlocking hole, so that the first buckle deforms and is released. According to the utility model, the buckles at the two ends are assembled, so that repeated disassembly and assembly can be realized without damaging the original structure; and the assembly procedures are few, so that a user can easily learn to complete the disassembly and assembly. And the structure is simple, the number of structural parts is small, batch production feasibility is achieved, the replacement cost is low, and only better battery gum is needed.

The application provides a sparse-to-dense visual positioning method and system based on feature Gaussian splash, and the method comprises the following steps: initializing a color-decoupled feature Gaussian field based on a training image set, optimizing the color-decoupled feature Gaussian field based on a query feature map set in combination with feature rendering and feature alignment loss cyclic optimization, and outputting a compact feature Gaussian scene model; screening a Gaussian landmark set in the compact feature Gaussian scene model by using a matching-oriented sampling strategy; training a scene-specific detector; extracting sparse local features of a query landmark heat map corresponding to a query image and performing sparse feature matching with the Gaussian landmark set to obtain an initial pose of a query perspective camera; based on 3D Gaussian splash, rendering a dense feature map and a depth map of the query perspective in the compact feature Gaussian scene model by using the initial pose of the query perspective camera, performing cluster-based proxy matching-based sparse-to-dense accelerated pose optimization, and obtaining accurate positioning of the query perspective camera.

The application provides a container positioning screening method and system, a storage medium and an electronic device. The method constructs a 3D yard model of a container, iteratively trains the 3D yard model and a deep learning model, receives a loading and unloading instruction of a container to be positioned, determines an optimal positioning and an operation path of the container to be positioned according to the trained deep learning model, and drives a work mechanism to move the container to be positioned to the optimal positioning according to the operation path. The container positioning screening method fully considers the stacking condition of the container in the current yard, and trains the deep learning model by evaluating key indicators, so that the determined positioning and operation path are accurate and have a higher optimization effect on the actual container turnover rate, and the method has the feasibility of practical production application.

The invention provides an analogue simulation method and device for determining a risk field based on a particle diffusion model, and the method comprises the steps: carrying out the analysis of the current sensing data collected by each target sensing device on a target vehicle in a simulation scene, and determining the risk particles included in each current sensing data; performing particle diffusion model updating processing by using each risk particle and the current environmental influence data, and determining at least one candidate particle diffusion model; for each candidate particle diffusion model, re-updating the candidate particle diffusion model by using effective secondary particles generated by chain reaction after collision to obtain at least one optimal particle diffusion model; fusing all the optimal particle diffusion models to determine a target particle diffusion model; and outputting a target risk field according to particle information in the target particle diffusion model. Therefore, the particle diffusion model and dynamics are combined to realize dynamic interactive modeling, so that the dynamic accurate evaluation of the risk field can be effectively realized.

The present application relates to a method for cooperative control of a single propeller of an underwater snake robot based on reinforcement learning, comprising establishing a structural model of the underwater snake robot, constructing a motion control and decision model of the underwater snake robot, defining state space and action space, and integrating the multi-joint wave propulsion of the snake body and the thrust output of the tail propeller from the central pattern generator into the control decision framework, designing a composite reward function with path tracking error, heading deviation and propulsion efficiency as targets, training the motion control and decision model of the underwater snake robot based on a reinforcement learning algorithm, generating an optimal underwater snake robot cooperative control strategy to execute a multi-waypoint path tracking task of the underwater snake robot, so that the cooperative control strategy of the joint waveform parameters and the propeller thrust is autonomously learned without relying on an accurate hydrodynamic model, thereby realizing stable and high-precision path tracking of a hyper-redundant underwater snake robot under multi-path constraints including turning sections.

The invention discloses a voiceprint and vibration signal-based elevator health state prediction method and system, and the method comprises the steps: collecting a sound signal and a vibration signal through a sensor group; respectively extracting voiceprint features and vibration features of voiceprint and vibration by using a double-branch convolutional neural network, obtaining a first enhanced feature and a second enhanced feature through a cross attention mechanism, and splicing to obtain a multi-modal fusion vector; and finally, inputting the multi-modal fusion vector into a long short-term memory network to output a health score sequence and the remaining service life of a future time window. Through modal complementation realized by a cross attention mechanism and a physical-data dual verification mechanism, environmental interference and real faults are effectively distinguished; clear physical constraints (such as monotonicity constraints and fatigue crack propagation rules) are fused into the deep learning model, so that the model is prevented from being over-fitted, and a prediction result is more in line with a mechanical principle.

The invention relates to an electrolytic cell array optimization control method and system based on model prediction, and the method comprises the following steps: S1, dividing an electrolytic cell array operation mode according to the operation characteristics of an electrolytic cell, and building an electrolytic cell state transition equation according to the operation characteristics of the electrolytic cell and the electrolytic cell array operation mode; s2, an optimal control problem is constructed, the optimal control problem comprises defining an objective function and system constraint conditions, and a mixed integer optimization model of alkaline electrolytic cell array power distribution is formed; and S3, constructing a model prediction optimization control strategy algorithm based on improved Monte Carlo tree search, and solving an optimal control problem based on the algorithm to obtain an optimal control strategy result of the electrolytic cell array. The control method provided by the invention can effectively improve the scheduling fineness of the electrolytic cell array and reduce the starting and stopping times and power fluctuation of the electrolytic cell, so that the service life of electrolytic cell equipment is prolonged, and the safety, reliability and economical efficiency of a hydrogen production system are improved.

This invention discloses an improved adaptive error estimation and compensation method for high-orbit SAR, which can effectively estimate and compensate for amplitude and phase errors caused by non-ideal factors, and solve the spatial variation error caused by large imaging stripes in high-orbit SAR, achieving focused imaging. The method includes the following steps: A GEO SAR satellite images the imaging area, and the echo data of the imaging area is processed into two-dimensional blocks to obtain m two-dimensional sub-blocks. The total synthetic aperture is divided into n sub-apertures. The SPECAN algorithm is used to image each sub-aperture and two-dimensional sub-block, resulting in n×m images. Discrete windowing is applied to the n×m image data, followed by PGA correction to obtain the amplitude and phase errors corresponding to each image. Error fusion is performed on the amplitude and phase errors corresponding to each sub-aperture image. After full-aperture error compensation, full-aperture imaging is performed on each two-dimensional sub-block, and then the images are stitched together to obtain the final imaging result of the GEO SAR for the entire imaging area.

The application discloses a microwave optical aperture conversion staring receiving system and method for optical domain desquamation, and belongs to the technical field of radar systems. The system comprises a local reference light generation module introduced on an existing digital beam forming radar receiver, which is used for generating a local optical reference signal by suppressing a single sideband modulation of another light signal output by a light source module. An optoelectronic detection and collection module is also introduced, which is used for collecting complete target echo light signals output by the optical Fourier transform module through an optoelectronic detector array. Meanwhile, the local optical reference signal and the target echo light signals achieve collinear space matching on a photosensitive surface of the optoelectronic detector array, and the two signals generate beat frequency. The square law detection characteristic of the optoelectronic detector is used to realize mixed frequency optical domain desquamation receiving of the target echo light signals. The target echo light signals received by the mixed frequency optical domain desquamation are used for simultaneously detecting the azimuth and distance of multiple targets.

The application discloses a kind of rotating tide controller consistency site selection method and system, belong to power system planning and control technical field.The method includes: based on distribution network basic model, construct internal impedance coupling relationship Construct rotating tide controller actual capacity domain reconstruction model, generate linearization capacity domain constraint including physical zero point drift vector and effective radius by convex polyhedron approximation technique;Establish the physical driving adaptive voltage sensitivity model including validity correction coefficient, to characterize the nonlinear feedback mechanism under mixed load environment;Based on the linearization capacity domain constraint and adaptive sensitivity model, construct the double-layer robust model with minimum investment cost as main problem, maximum voltage out-of-limit risk as sub-problem, and obtain site selection and capacity determination scheme by using column and constraint generation algorithm iterative solution.The application realizes the consistency of planning decision and physical operation result, effectively avoids the secondary out-of-limit risk caused by load counterattack effect.

The application provides a non-coherent and coherent accumulation joint processing method based on an external radiation source radar, which firstly uses non-coherent accumulation on the scattered echo after pulse compression to obtain a relative time-of-arrival coarse estimation, and then performs coherent accumulation after range selection according to the actual engineering requirements. In order to reduce the operation amount, the segmented coherent accumulation is used to obtain the accurate echo relative time-of-arrival information of each pulse. According to the obtained time-of-arrival information, the echo is guided to perform multi-pulse FFT, the echo signal is detected and the echo time difference from the direct wave is extracted after the signal-to-noise ratio is improved. The joint processing method provided by the application improves the scattered echo time-of-arrival detection accuracy from the direct wave under the condition of low operation amount, accurately realizes the extraction of the time difference between the direct wave and the scattered echo, realizes the scattered echo time-of-arrival information monitoring accuracy, and has feasibility and great use value in engineering application.

The application discloses an ultrahigh dose rate radiotherapy plan optimization system based on compensator modulation, relates to the technical field of radiotherapy, and comprises a data acquisition module, a FLASH biological effect evaluation module and a plan optimization module.The data acquisition module is used for acquiring medical image data of a patient and receiving clinical targets, wherein the clinical targets include a target area prescription dose, a critical organ limit and a minimum dose rate threshold required for triggering and maintaining a FLASH effect.The FLASH biological effect evaluation module is used for calculating a FLASH biological effective dose distribution corresponding to a physical dose distribution through an embedded biological effect model based on the input physical dose distribution and dose rate distribution.The improved linear quadratic model of the application is embedded with a FLASH correction factor, the physical dose is converted into accurate FLASH biological effective dose, the tumor killing effect of the target area is guaranteed, normal tissue protection is enhanced with the aid of tissue differentiation correction factors, the industry pain point that the physical dose meets the standard but the biological effect does not meet the expectation is effectively solved, and the treatment plan is more suitable for the core needs of clinical efficacy and safety.

This invention discloses a fluorine-nitrogen co-doped carbon dot, its preparation method, and its applications. The fluorine-nitrogen co-doped carbon dot is a nanoparticle constructed using a one-step hydrothermal synthesis method with fluorine-containing and nitrogen-containing precursors. The nanoparticle is spherical with a particle size of 5 nm, and its surface is rich in carboxyl, amino, and hydroxyl functional groups. Its fluorescence quantum yield is not less than 20%, and its emission wavelength is in the 500-550 nm range. It has the characteristic of targeting the H3K36me2 histone modification in tumor cell nuclei, and can achieve specific labeling of tumor cells within 5 minutes. The enrichment intensity in tumor tissue is more than 2.72 times that in normal tissue. The fluorine-nitrogen co-doped carbon dot of this invention is expected to serve as a novel fluorescent labeling probe for tumor identification and imaging, contributing to the early and accurate diagnosis of malignant tumors. It has multiple advantages such as speed, accuracy, safety, and visualization, and has broad application prospects in tumor pathology identification and intraoperative navigation.

The present application belongs to the technical field of radar target detection, and particularly relates to a weak target detection method for a sea polarized radar, which comprises a radar echo signal training data set obtained; the training data set is preprocessed to obtain a training feature set, and the training feature set is substituted into a preset support vector machine to train a classifier capable of distinguishing weak target echoes and sea clutter; wherein after each round of training, according to the size relationship and difference value between the current training false alarm probability and the preset target false alarm probability, a false alarm cost factor in a corresponding penalty matrix of the support vector machine is adjusted, and the trained classifier is used for radar echo classification, so that the method can effectively realize complex structure target detection under the support of a preset false alarm probability.

The application discloses a closed-loop rTMS safety control method and system based on a multi-modal neural state, relates to the technical field of neural regulation and closed-loop rTMS control, and comprises the following steps: synchronously collecting electroencephalogram (EEG), electromyogram (EMG) and stimulation response signals, extracting EEG state stability indexes, EMG coordination indexes and stimulation response fluctuation indexes; inputting the multi-modal indexes into a closed-loop safety state discrimination model, generating five safety states of permission, delay, downgrading, suspension and recalibration according to multi-criteria; outputting corresponding control instructions according to the state, and automatically recovering and restarting at a low dose after suspension through sliding window monitoring. The system comprises signal collection, feature extraction, safety discrimination, dose control and stimulation execution interface modules. Through multi-modal joint verification and a five-grade classification response mechanism, the application realizes autonomous safety management and control of a closed-loop rTMS stimulation process, and improves abnormal state recognition and classification disposal capability.

This invention belongs to the field of electrocatalysis and discloses a rare earth oxide-based electrocatalytic material and its application. The rare earth oxide-based electrocatalytic material comprises FeNi3 / RE2O3, where RE represents a rare earth element. In the rare earth oxide-based electrocatalytic material provided by this invention, the unique 4f electrons of RE2O3 regulate the electronic structure of FeNi3, optimizing the adsorption energy barrier of protonated hydrogen on the catalyst surface, regulating the adsorption state of hydrogen evolution intermediates on the catalyst surface, accelerating the reaction kinetics of the catalyst, and enabling the catalyst to exhibit satisfactory electrocatalytic hydrogen evolution activity in alkaline media. It has the potential for application in the electrolytic water electrolysis hydrogen production industry, with significant practical and economic value.

This invention relates to the field of medical device technology and discloses a visual respiratory secretion negative pressure suction device, comprising: a collection bottle made of transparent material with a visible cavity, the top of which is provided with an air inlet and an air outlet for establishing a negative pressure passage and observing the secretion collection status in real time; and a switchable connector detachably connected to the air inlet, constituting an integrated dynamic tube diameter control unit, including a central seat and a rotary switching plate arranged coaxially. The central seat is provided with multiple sets of first through-holes along the axial direction, and the flow cross-section of each set of first through-holes decreases in a stepped manner. This device significantly improves the precise matching capability of secretion drainage. By using the selection of the suction tube diameter as a pre-forced step and forming a physical cascade match with the multiple sets of first through-holes in the switchable connector that decrease in a stepped manner, secretions of different viscosities can be drawn out under optimal flow resistance conditions.