14results 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.

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.

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 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.

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 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 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.

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.

This invention specifically relates to a risk assessment method for hydrological-power coupled systems under rainstorm disasters, belonging to the technical field of distribution network system risk assessment. By establishing a four-dimensional assessment system encompassing hazard, exposure, vulnerability, and adaptability, this invention not only quantifies the direct damage of hydrological disasters to the power system but also innovatively defines secondary power hazards, characterizing the disaster amplification feedback loop of "power failure → drainage failure → exacerbated flooding → further damage to power facilities" at the mechanistic level. This invention introduces adaptability as a risk adjustment factor, comprehensively calculating the adaptability coefficient through indicators such as infrastructure density, road density, and the proportion of educated population. It scientifically demonstrates that improving regional adaptability and resilience can directly reduce overall risk, indicating a strategic transformation path from simply mitigating disasters to enhancing system resilience.

This invention discloses a method and system for energy efficiency optimization management of photovoltaic (PV) power plants, belonging to the field of PV power plant optimization management technology. It includes the following steps: S1, real-time acquisition of PV power plant operation data and data preprocessing; S2, identification of multi-feature mutations in equipment during PV power plant operation, identification of equipment operation anomalies, and generation of anomaly event records; S3, receiving anomaly event records, evaluating the coordinated fluctuation of various characteristic anomalies, identifying the anomaly type, and performing self-healing maintenance adjustments; S4, judging the effectiveness of self-healing maintenance adjustments, and optimizing the algorithm and self-healing strategy based on PV power plant operation data, anomaly event records, and the effectiveness of self-healing maintenance adjustments. This solves the problem that due to the increased data acquisition frequency at the station and string levels, the extremely short duration of anomaly events leads to diluted and missed anomaly signals, making timely manual response difficult.

This invention discloses a fine-grained, lock-step-tolerant, superscalar out-of-order processor design method and system. The method includes: reading the current instruction address and performing branch prediction to obtain the fetch address of the next instruction; decoding the instruction fetch to extract the opcode, source operand register number, and destination operand register number; renaming the instruction decoding result; processing the renamed instruction decoding result through a reservation station module; performing arithmetic and logical operations on the arbitrated instruction decoding result; comparing and checking the results of executed instructions and writing them into the system; reordering and buffering the written results of executed instructions before committing them to construct the superscalar out-of-order processor. This invention improves the fault detection and recovery capabilities of superscalar out-of-order processors. As a fine-grained, lock-step-tolerant, superscalar out-of-order processor design method and system, this invention can be applied to the field of fault-tolerant processor design technology.

This invention discloses a method for evaluating the performance recovery of an electrolysis system after a pulsing operation. The method includes the following steps: Step 1: Collecting electrolysis system performance data for a baseline period before pulsing, the pulsing period, and the recovery evaluation period after pulsing; Step 2: Preprocessing the collected data; Step 3: Based on the preprocessed data from Step 2, fitting a natural decay trend within the baseline period before pulsing and extrapolating to obtain a non-interventional prediction curve; Step 4: Calculating four evaluation indicators within the recovery evaluation period after pulsing: recovery amount, recovery stability, improvement in decay slope, and recovery sustainability. The evaluation results can be used for selecting / recommending pulsing parameter combinations to achieve performance recovery and lifespan extension under energy consumption constraints.