52results about How to "Improve recovery effect" patented technology

This invention provides a rapid rewarming and circulatory support system for frostbite and hypothermia in high-altitude environments, relating to the field of treatment device technology. It includes: a first temperature acquisition module for acquiring and preprocessing the current first ambient temperature, the first frostbitten skin surface temperature, and a first skin surface image; a control module connected to the first temperature acquisition module for analyzing the preprocessed first ambient temperature, the first frostbitten skin surface temperature, and the first skin surface image to determine the corresponding first target temperature and a first target warming rate; and a temperature regulation module connected to the control module for gradually warming the skin to the optimal preset temperature according to the warming rate. This invention achieves dynamic temperature control, continuous protection, and intelligent decision-making for frostbite and hypothermia in high-altitude environments.

The invention discloses a quick-start compressed air energy storage system based on residual wind power absorption and a control method thereof. The system comprises a power divider, a lithium battery, a main compressor unit, at least one peak shaving compressor, a plurality of compression working medium flow valves, a plurality of air compressor interstage coolers, an air storage tank, a pressure regulating valve, a vortex tube, a distribution valve, a heat storage tank, a plurality of heat tank heat source supply flow valves, a cycle working medium flow valve, a turbine air inlet precooler, a turbine generator unit and an adsorption tower. An ORC power generation system and a power supply control and black start module; wherein the power supply control and black start module is used for executing corresponding control strategies according to various power grid operation data and wind power. The system can adaptively start the peak regulation compressor to absorb excess electric energy, and combines a hybrid frequency modulation architecture and a black start protocol, so that the system response speed, the energy storage density, the energy comprehensive utilization efficiency and the power grid supporting capability are remarkably improved, and efficient consumption and rapid peak regulation of wind power fluctuation are realized.

This invention discloses a specular removal method based on grouped enhanced convolutional attention feature fusion, belonging to the field of image processing technology. The method constructs a specular removal model based on a CycleGAN network, which consists of a generator, a discriminator, and a loss function optimization module. The generator includes detail enhancement depth downsampling, upsampling, and grouped enhanced convolutional attention fusion modules, effectively capturing image details, reducing checkerboard artifacts, and enhancing feature fusion and capture capabilities. The discriminator uses a PatchGAN structure to improve local detail capture capabilities. The optimized loss function integrates multiple losses to improve model performance. Experimental results show that compared with various traditional and deep learning methods, the method of this invention outperforms in PSNR and SSIM metrics, exhibits strong adaptability, and can provide high-quality image data for subsequent detection of elevator door components.

This invention discloses a smart construction site management method and system based on the Internet of Things (IoT), relating to the field of smart construction site environmental control technology. The method includes performing vector projection on the point cloud of the material storage area's surface to obtain the tangential wind speed components of the surface points, calculating the voxel center elevation difference of the three-dimensional point cloud, screening wind erosion active areas, uniformly dividing the wind erosion active areas into sub-zones, calculating the horizontal drift distance, predicting the landing center coordinates, and generating a predicted landing circle; calculating the fog cannon coverage circle, determining the spatial intersection of the predicted landing circle and the fog cannon coverage circle, calculating the fog cannon activation time in the control area, and sending the activation time to the fog cannon for execution. This invention improves the dynamic simulation capability of dust particle falling behavior by combining particle size distribution quantification with a settling velocity estimation model, and improves the accuracy of dust fall range prediction by calculating the horizontal drift of dust particles combined with a landing circle prediction model.

The application discloses a method and system for strengthening main grid elements considering renewable energy under extreme weather, and mainly relates to the technical field of renewable energy research. The method comprises the following steps: collecting an expected value of system loss load caused by extreme weather, and establishing a first objective function with the minimum expected value; modeling an operation mode of a main grid; establishing a linear programming model for calculating a worst probability distribution of uncertain variables; establishing a three-layer mixed integer linear programming model according to the first objective function and the modeling of the operation mode of the main grid; and solving the three-layer mixed integer linear programming model and the linear programming model of the worst probability distribution and outputting a result. The application has the beneficial effects of solving the problem of difficult information acquisition, reducing the difficulty of information provided by a power grid operator, and improving the efficiency of power transmission grid restoration.

The invention belongs to the technical field of ecological environment restoration, and particularly relates to an arid region gobi gravel curtain layer reconstruction method. Gobi in the arid region is subjected to earth surface leveling, gravel layer paving and saline pressing in sequence, and a gravel curtain layer is obtained. The gravel curtain layer earth surface reconstructed through the method has no obvious landscape difference with the surrounding natural gravel curtain layer earth surface, salt crust and gravel are tightly bonded together to form a hard soil protection layer, the earth surface can be effectively solidified, and soil wind erosion can be resisted.

The application discloses a kind of shell dental instrument automated production method and system, it is related to dental medical instrument automation production and industrial control technical field.The method takes merging object as control unit, and the production flow and output process of shell dental instrument from forming model to finished product are automatically organized, the identification mapping relationship across process is established, and combined with the classification forming under shared production path, identification coding, asynchronous buffer sorting and merging output control, the automated production of different forming demand shell dental instrument is realized.The present application can improve the traceability continuity in production process, reduce end sorting pressure.

The utility model relates to a kind of vehicle waterproof door hole sealing strip and vehicle, including sealing strip body, butyl rubber layer and double bubble tube sealing support structure, the butyl rubber layer is set to the sealing strip body for with the card joint part of vehicle body sheet metal stop opening installation, the double bubble tube sealing support structure is set to the sealing strip body for with the sealing lip edge part of door cooperation.The utility model has the beneficial effect that it realizes double dynamic sealing, improves waterproof reliability and enhances impact resistance and deformation resistance.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

The application discloses a color video restoration method based on a low-rank quaternion tensor and a space-time SVTV constraint, and comprises the following steps: acquiring a color video sequence to be restored, judging a video format and completing format analysis, converting YUV format into RGB format, constructing a corresponding pure quaternion tensor representation, and generating damaged video data; building a neural network parameterized low-rank quaternion tensor continuous function model, constructing a neural representation driven space-time SVTV regular term, and restraining a saturation gradient and a brightness gradient in different dimensions; fusing data consistency constraints and regular constraints, constructing a finite-dimensional solvable joint optimization model, and completing solvability verification; taking the damaged video as input, iteratively solving an optimal prediction tensor through a gradient descent algorithm or an Adam optimization algorithm, fusing a predicted pixel and an original known pixel, and outputting a complete restored video after data restoration and format adaptation. The application can realize high-precision, high-robustness and high-stability restoration of a missing area of a video, and is suitable for various video damage scenes.

This invention proposes a neural network model enhancement and electronic device for small target defect detection in oilfield inspection images under complex field scenarios. It addresses the problems of severe feature degradation, scarcity of real samples, poor spatial localization ability, low anchor box matching degree, and limited computing power at the edge in small target defect detection in oilfield inspection images under complex field scenarios. This invention constructs synthetic and real datasets through dual-source data processing; performs four-fold super-resolution amplification of the input data through residual dense block concatenation and sub-pixel convolution, and introduces a generative adversarial network detail enhancement branch to generate super-resolution reconstructed images; extracts multi-scale basic features through a lightweight backbone; generates coordinate attention weights through global pooling of height and width dimensions to enhance the spatial features of small targets; inputs the enhanced feature map into a defect detection layer embedded with anchor boxes specific to small targets for classification and regression; and optimizes model training using a hard sample mining loss function.

The invention provides a cascade two-stage matching-based visual multi-target tracking method, which comprises the following steps of: acquiring a video sequence to be processed, and initializing an empty track set; the video sequence is a monocular monitoring video stream containing pedestrians, then processing a current frame of the video sequence, and outputting an interested target detection frame set; and dividing the target detection box set into a high-confidence detection box set and a low-confidence detection box set according to a confidence threshold, sequentially carrying out first-stage association and second-stage association, and finally, through track life cycle management, outputting all tracks whose life cycle states are survival as multi-target tracking results of a current frame. According to the invention, through the improved cascading matching strategy, the inactive trajectory participates in matching, the problems of trajectory fragmentation and information loss in a complex scene are effectively solved, and the tracking precision and robustness in a shielding environment are significantly improved.

The invention belongs to the technical field of oilfield chemistry, and relates to a gas reservoir crack mixed temporary plugging agent and a preparation method thereof. The temporary plugging agent is prepared from the following components in parts by mass: a water-soluble high-molecular polymer, heat-resistant starch, degradable fibers, a strength improver and water, the strength improver is montmorillonite powder wrapped by polyvinyl alcohol. The water-soluble high-molecular polymer is matched with the degradable fibers and the starch particles to be interwoven and connected to form a net-shaped structure, so that the pressure resistance is improved, and the temporary plugging effect is improved; according to the strength improving agent, montmorillonite powder wrapped by polyvinyl alcohol is added, in the process that the temporary plugging agent still flows downwards, the polyvinyl alcohol on the surface of the montmorillonite powder is melted along with decline and temperature rise, so that the montmorillonite powder leaks out and absorbs water again to swell, and the strength of the temporary plugging agent is improved. And montmorillonite powder wrapped by heat-resistant starch-degradable fiber-polyvinyl alcohol is cross-linked to form a rich three-dimensional system structure as a climbing skeleton, so that the temporary plugging agent can temporarily plug cracks at positions needing temporary plugging.

The utility model discloses a kind of upper limb joint protection brace for upper limb fracture combined with nerve injury, it is related to medical instrument technical field.Upper limb joint protection brace includes arm support assembly, sling, wrist support assembly;Sling is set on arm support assembly, and is hung on the torso of patient;Wrist support assembly is installed in the side of arm support assembly, and wrist support assembly includes fixed base, hand support, fixed base is connected with arm support assembly, and hand support is hinged connection with fixed base by hinging shaft, and hand support is used to lift the hand of patient;Limiting piece is equipped on fixed base, and limiting piece is used to limit the relative position of hand support and fixed base;Upper limb joint protection brace provided by the utility model provides lifting support to the arm and wrist joint of patient, and by the adjustment cooperation of hand support and fixed base, it is convenient to ensure that the wrist joint of patient is in suitable functional position angle, it is convenient to provide protection to the arm of patient while improving recovery effect.

The application proposes an underwater DOA and SAP estimation method based on fast multi-snapshot non-inverse sparse Bayesian. The method introduces the smooth function property and generalizes to a complex matrix form. Based on the generalized property, the method is introduced into multi-snapshot sparse Bayesian learning, and the matrix form of the relaxation evidence lower bound (relax-ELBO) is derived. Based on the relax-ELBO, the VEM method is used to solve the posterior distribution approximation of the hidden variable. According to the posterior distribution approximation, the DOA and SAP are estimated, the matrix inversion is avoided, the operation speed is greatly improved, and the limitation that the SBL is difficult to be applied in large-scale field and online is overcome.

The application discloses a power distribution network power and communication coordinated recovery method, the method comprises the following steps: generating a base station-power joint feature vector of each associated group, inputting into a pre-trained joint risk assessment prediction model, and outputting a joint risk pair of the associated group, including power load value and base station repair difficulty; using the joint risk pair of the associated group, obtaining a plurality of work order areas and work order priority values thereof through a joint partition model, each work order area comprising at least one associated group, and generating a work order sequence in descending order of the work order priority values; based on each work order area in the work order sequence, adopting a multi-objective optimization distribution mechanism to output a resource distribution scheme of the work order area; and in sequence according to the work order sequence, sequentially traversing the resource distribution scheme of the work order area, and determining an optimal path of resources to the corresponding work order area based on the real-time state of the resources. Thus, the recovery capability and reliability of the power distribution network power and communication system in a disaster area are improved.

This invention relates to the field of power grid dispatching technology, and more particularly to a method and system for coordinated optimization dispatching of transmission and distribution networks. The method involves: step S1, collecting a sensing dataset; step S2, performing coordinated analysis using a coordinated optimization analysis method; step S3, performing multi-party communication prediction; step S4, outputting a coordinated optimization dispatching decision for the transmission and distribution network; step S5, updating and optimizing the coordinated optimization dispatching decision; and step S6, executing the coordinated optimization dispatching decision. This invention improves the accuracy, flexibility, and efficiency of coordinated optimization dispatching of the transmission and distribution network by performing coordinated optimization analysis based on the sensing dataset and acquiring, updating, and optimizing the coordinated optimization dispatching decision.

The application discloses a kind of vertebral arch root fixator joint lamina clip isthmus crack repair device, belong to lumbar vertebra internal fixation instrument technical field, this vertebral arch root fixator joint lamina clip isthmus crack repair device, including the fixed mechanism of screw connection between vertebral body and vertebral arch root, one end of the fixed mechanism is equipped with connecting mechanism;One end of the fixed mechanism is equipped with locking mechanism, in combination state, the fixed mechanism and connecting mechanism are locked by locking mechanism, the other end of the connecting mechanism is fixedly connected with clamping mechanism.The fixed mechanism, clamping mechanism and connecting mechanism can be designed in the application, the vertebral arch screw can be quickly placed between vertebral body and vertebral arch root, the lamina clip is clamped with lamina, by connecting mechanism is mutually tensioned, and it is applicable to different positions of isthmus crack, can exert force according to the crack of vertebral body degree of closure, prevent secondary injury of lamina caused by excessive force.

The application relates to the cable technical field, in particular to a cable used in a low-temperature environment, which comprises a center cable, a plurality of integrated cables arranged around the center cable, and a plurality of restraining members, the number of the restraining members is the same as that of the integrated cables, the length direction of two adjacent integrated cables is limited by one restraining member, and the plurality of restraining members limit the plurality of integrated cables to be an integral annular layer in the annular direction. After accepting the external temperature, the aluminum foil film of the capsule-shaped space is rapidly heated, at which time the aluminum foil film melts the paraffin particles in the interior, so that the paraffin particles are melted, the paraffin has excellent heat preservation effect as a heat accumulator, can better preserve the temperature, so that the outer sheath can be kept at a suitable temperature, which is beneficial to protecting the outer sheath used in the low-temperature environment and can improve the service life of the outer sheath, and then the outer sheath can reversely preserve the temperature of the external adjusting sleeve, increase the temperature preservation time of the external adjusting sleeve, and reduce the frequency of external heat supply.

This invention relates to the field of robot intelligent control technology, and more particularly to a robot operation method and system. Relying on a high-level visual language semantic planner to output sub-task labels, low-level action strategies can continuously call semantic labels to output actions without waiting for the completion of a single high-level inference, thus improving the continuity of action execution. This invention injects sub-task semantics into the visual feature space, enabling the robot to focus on corresponding visual targets and spatial relationships at different operation stages, improving the accuracy of multi-stage task action matching. This invention sets up a semantic perception temporal integration mechanism, weightedly fusing old and new action blocks during semantic label switching and semantic rollback, mitigating abrupt changes in cross-sub-task actions and improving the stability of contact operation tasks. When detecting robot operation anomalies or sub-task state reversals, this invention can redetermine and restore the planned actions for the sub-task stage, enhancing the autonomous recovery capability of long-term tasks.

The application belongs to the technical field of wind power generator control, and particularly relates to a doubly-fed motor fault ride-through control method based on transient impedance and power angle compensation. The method comprises the following steps: obtaining a first electrical quantity representing the size of rotor current; judging whether the first electrical quantity exceeds a preset safety threshold; when the safety threshold is exceeded, generating a transient virtual impedance according to an out-of-limit deviation; generating a compensation torque according to a virtual active power dissipation power corresponding to the transient virtual impedance; introducing the compensation torque into a virtual synchronous generator swing equation to compensate for the power balance deviation generated in the current limiting process; and generating a driving signal of a rotor-side converter according to the virtual synchronous generator output, the transient virtual impedance and positive and negative sequence voltage and current components. The application can inhibit the overcurrent of the doubly-fed motor during fault ride-through, and reduce the power angle deviation and instability risk in virtual synchronous control.

The image motion deblurring method based on a hybrid expert network belongs to the technical field of image processing and computer vision, and particularly relates to an image motion deblurring method based on a hybrid expert network; solves the technical problems of coarse-grained routing mechanism, sparse activation detail loss, imbalance between lightweight and precision, single feature fusion strategy, and difficulty in balancing precision and efficiency in the prior art; the method comprises the following steps: inputting a single-frame blurred image to be repaired into a hybrid expert deblurring model that has been trained, and reconstructing and outputting a clear image after deblurring. The image motion deblurring method based on a hybrid expert network is suitable for the fields of lightweight image visual perception, image restoration and deblurring processing.

This invention belongs to the field of low-light image enhancement, specifically relating to a low-light image enhancement method based on spectral interaction. The method includes constructing a low-light image enhancement model, which comprises a spatial feature extraction module, a spectral real part interaction module, and a brightness-perceived fusion module. The model is trained, and the trained low-light image enhancement model is used to enhance low-light images. This invention employs a two-branch fusion strategy, which effectively utilizes the advantages of both branches while avoiding their respective shortcomings, further improving image quality and clarity.

This invention provides a medical surgical exoskeleton lumbar support mechanism, belonging to the field of surgical human assistive rehabilitation device technology. It includes: a base platform; an annular groove is formed on one side of the outer surface of the base platform; a platform is fixedly installed on one side of the outer surface of the base platform; multiple sliding columns are slidably embedded in the inner wall of the annular groove; tension ropes are provided on one side of the outer surface of each of the multiple sliding columns; a connecting column is provided at one end of the outer surface of each of the multiple tension ropes; a lumbar protective exoskeleton is provided at one end of the outer surface of each of the multiple connecting columns; and a shoulder strap is provided at the top of the outer surface of the lumbar protective exoskeleton. This invention, through the cooperation of the lumbar protective exoskeleton and the shoulder strap, uses the shoulder as the force-bearing support point, reducing the pressure of the lumbar protective exoskeleton on the lumbar region, thereby improving the recovery effect of the lumbar support. It solves the problem in existing technologies where the overall support of the lumbar support still relies on the hips, which can easily aggravate the user's lumbar spine disease and is not conducive to the user's lumbar rehabilitation.

This invention discloses a multi-scale feature fusion method and system for atmospheric turbulence video correction. It extracts shallow texture, mid-level structure, and high-level semantic information through a multi-scale feature pyramid, and combines frequency adaptive enhancement and deformable attention alignment mechanisms to perform channel-weighted processing on different frequency components. Adaptive optimization is achieved to address differences in turbulence sensitivity, and feature-level alignment is completed under optical flow guidance to eliminate tilt distortion. Simultaneously, a gated reference update module dynamically maintains reference features to suppress turbulence noise accumulation. Furthermore, a multi-head temporal channel self-attention mechanism is used to achieve cross-frame spatiotemporal fusion, improving temporal consistency, and a two-stage decoder is used to progressively restore image geometry and high-frequency details. This invention can significantly improve the clarity of turbulence-degraded images, providing technical support for high-precision imaging.

The application provides a low-quality magnetic resonance image reconstruction system and method based on hidden space focusing. A data preprocessing module is configured to preprocess an input magnetic resonance image to obtain three-dimensional image data of a standard magnetic resonance image. A joint distribution optimization module is configured to train a joint probability distribution model using the three-dimensional image data of the standard magnetic resonance image. The joint probability distribution model is configured to construct a joint probability distribution of a low-quality image and a high-quality image. The joint probability distribution model is trained through a low-rank adaptation technique. In the training process, a loss function is constructed using a mean square error loss and a hidden space blood vessel focusing loss, and a flow matching algorithm is used to optimize a generated trajectory. An inference module is configured to map a low-quality image to a high-dimensional hidden space based on model parameters of the trained joint probability distribution model, and to perform deterministic trajectory evolution along a quality manifold defined by flow matching to generate an enhanced high-quality image.

The present invention relates to an electrolyte solution and a secondary battery including the same. According to the present invention, the present invention has an effect of providing a secondary battery having improved charging efficiency and output due to low discharge resistance and having a long lifespan and excellent high-temperature capacity retention by suppressing gas generation and increase in thickness.

The invention discloses a vegetation restoration device based on an ecological environment, and particularly relates to the technical field of ecological restoration, the vegetation restoration device comprises a mounting bracket, an inserting rod device is fixedly mounted at one end of the mounting bracket, the inserting rod device comprises a mounting longitudinal cylinder, and a rotating support is rotatably mounted at the bottom of the mounting longitudinal cylinder; a plurality of inserting rod mechanisms distributed in an annular array are fixedly mounted at the outer end of the rotating support, and a positioning mechanism is fixedly mounted at the end, away from the rotating support, of each inserting rod mechanism; each inserting rod mechanism comprises an installation top frame, the installation top frames are fixedly installed at the outer ends of the rotating supports, an installation bottom frame is arranged below the installation top frames, and a guide longitudinal rod is vertically installed at one end of the installation bottom frame. Automatic and convenient rod insertion can be carried out at multiple vegetation recovery positions in the desert environment, vegetation recovery is carried out, and the vegetation recovery effect is improved.

The invention relates to a double-track business process management system considering infection disaster response business optimization and daily business continuity, a management method and a program, and the double-track business process management system considering infection disaster response business optimization and daily business continuity is characterized by comprising a provision module, a management module and a management module, current situation analysis, business influence analysis and danger analysis of the mechanism are implemented in stages, double-track business continuity process data of the mechanism are exported, and the double-track business continuity process data comprise disaster response business process data and daily business process data.

This utility model discloses a seamless magnetic fiber compression sports pants, comprising a compression pant body (0) made of magnetic fiber through seamless integrated knitting technology. The compression pant body (0) has a three-dimensional vertical ribbed structure (1) at the waistband, a pique knit structure (2) on both sides of the waistband, a three-dimensional 3D grooved structure (8) on the abdomen, a three-dimensional compression trapezoidal 3D structure (3) between the front waistband and abdomen, a three-dimensional compression bird structure (7) on the lower side of the back waistband, a three-dimensional compression accordion structure (4) on both sides of the abdomen, a cross ribbed structure (10) at the front wave, a three-dimensional oblique ribbed texture structure (5) on the thighs and buttocks, and a three-dimensional compression wavy structure (6) in front of the knees. It has different organizational structures around the movement characteristics of different parts of the human body, with good compression effect, and adopts seamless knitting technology to avoid friction and marks from the seams, thus having good comfort.