63results about How to "Improve limitations" patented technology

The invention discloses an industrial product quality detection method and system based on machine vision, and relates to the technical field of quality detection.During operation of the system, through an industrial camera and an optimized light source layout, high-resolution image acquisition is performed on electronic components in real time by adopting multi-angle shooting, a series of optimization processing is performed on the acquired images, and the quality of the electronic components is detected. The method comprises the following steps: extracting shape, texture and color features according to geometric characteristics of an electronic component to form key parameters for judging defects, identifying potential defects of the electronic component by using a deep learning model algorithm, calculating to obtain a quality evaluation index Q, and calculating the quality evaluation index Q according to calculation results of feature extraction and defect detection. And comprehensively evaluating the quality of each component, comparing the quality evaluation index Q with a first preset threshold value M and a second preset threshold value N to obtain a quality evaluation grade, feeding unqualified detection information back to a production line, and removing unqualified components.

The invention discloses a multi-modal feature joint constraint whole-brain dynamics modeling and parameter optimization method which is applied to the field of computational neuroscience and brain science. Aiming at the defects of a current whole brain dynamic model in the aspect of synchronously fitting multi-modal scalp EEG signals and cortical and subcortical BOLD signals across spatial and temporal scales, the capability of the model for comprehensively and accurately representing real dynamic characteristics of brain activities on different scales is limited; in order to overcome the short plate, the core element of multi-modal feature combined constraint is added on the basis of a whole-brain dynamic model and a parameter space rapid optimization method, and a modeling method and a parameter rapid optimization strategy for the multi-modal feature combined constraint whole-brain dynamic model are designed; by applying a high-dimensional parameter rapid optimization algorithm, the capability of the whole-brain dynamic model in synchronous fitting of brain multi-modal spatial-temporal characteristic signals is further improved; the method has important significance and reference value for developing a whole-brain dynamic model modeling method and a parameter optimization system which are more biological rationality and interpretability.

The invention belongs to the technical field of cloud computing, and discloses a lightweight multi-domain hyper-fusion platform construction method compatible with heterogeneous hardware resources, which adopts a lightweight hyper-fusion platform architecture compatible with the heterogeneous hardware resources, converts physical resources into virtual resources on a virtual machine based on a KVM (Kernel-based Virtual Machine), shields the difference of underlying hardware, and improves the performance of the platform. According to the method, heterogeneous storage resources are integrated based on Ceph, and storage devices of different manufacturers are integrated into a unified storage pool through a distributed storage technology without being limited by types of bottom hardware devices. Through the SDN technology, the OpenStack network service can decouple a network control plane and hardware, and unified management of different network devices is realized. Through a virtualization technology and an automatic management tool, a simplified elastic expansion solution is provided, and changes of resource demands are easily coped with.

The invention belongs to the technical field of secondary batteries, and mainly relates to a battery aging mechanism identification method, which comprises the following steps of: firstly, judging whether other battery aging mechanisms exist in addition to the growth of a solid electrolyte interfacial film; meanwhile, peak valleys of an I C curve and a DV curve in the battery aging process are analyzed, and whether the aging mechanism of the battery is battery negative electrode active material loss or battery positive electrode active material loss is judged; and further, decomposing the electrochemical impedance spectrums before and after the aging of the battery through a relaxation time distribution technology, and comparing the electrochemical impedance value spectrum before the aging of the battery with the electrochemical impedance spectrum after the aging of the battery to obtain a change result of the electrochemical impedance value spectrum of the battery. Finally, the limitation of a relaxation time distribution technology of a differential voltage analysis method on battery capacity attenuation nondestructive analysis and internal resistance growth quantitative decomposition and quantification is overcome, so that the battery aging mechanism analysis is clearer.

The invention provides a photovoltaic power station short-term output prediction method and system based on a LightGBM-Attention GRU combination model, a storage medium and electronic equipment, and relates to the field of photovoltaic power station short-term output prediction. According to the method, a plurality of features are constructed based on preprocessed multi-source numerical weather forecast data and historical actual output data, and each feature is corrected based on a correlation coefficient between the features and target output; taking the corrected feature data as the input of a LightGBM model to obtain a first prediction result, and taking the corrected feature data and the first prediction result as the input of an Attention GRU model to obtain a second prediction result; and finally, performing weighted summation by adopting an error reciprocal method to obtain a final short-term output prediction result of the photovoltaic power station to be predicted. Based on a combined model of a Light GBM model and an Attention GRU model with different underlying principles, the limitation that scene migration is difficult to carry out by a single model is improved, and the accuracy of photovoltaic power station short-term output prediction is greatly improved.

The invention provides a bean product fermentation influence factor analysis method and system, and relates to the technical field of food safety detection.The method comprises the steps that multiple sets of key parameters are set within a preset range, physical and chemical index changes under the parameters are monitored in real time, and the physical and chemical index changes comprise the tannin variation, the acid production capacity, the fermentation rate and the active enzyme variation; the method comprises the following steps: establishing a key parameter, constructing a physical and chemical index prediction model, training by taking the key parameter as input, evaluating a fermented bean product, training a sensory evaluation index prediction model by taking the physical and chemical index as input, and finally, determining an optimal combination of the key parameter through a genetic algorithm by taking maximization of the sensory evaluation index as a target, thereby optimizing a fermentation process. By setting and adjusting key fermentation parameters in real time and combining physical and chemical index monitoring and sensory evaluation, the purposes of optimizing the fermentation process and improving the final quality of bean products are achieved.

The invention relates to a multi-modal Chinese interference identification method based on residual fusion language features, which comprises the following steps of: (1) extracting words with anti-interference and non-anti-interference meanings from a self-constructed image-text multi-modal Chinese interference identification data set by utilizing a chi-square statistical method, and constructing a language feature system; (2) extracting language features of words in the language feature system by using a TextCNN model; (3) extracting image features by using a ResNet34 model; (4) introducing a cross attention mechanism, and establishing association between image-text features; and (5) carrying out feature fusion to obtain a classification result. The limitation of the existing method can be improved, and the accuracy of the phage recognition is improved.

The invention discloses a zirconium-nickel dissimilar metal welding method based on active regulation and control of a temperature field. The zirconium-nickel dissimilar metal welding method comprises the following steps that S1, base metal is cleaned; the butt-joint end faces and the welding surfaces of the zirconium and nickel alloy pipes are polished and cleaned, and clean zirconium and nickel base materials are obtained; s2, a to-be-welded part is assembled; the to-be-welded end face of the clean base metal is assembled in a protective gas cavity of the rotary clamping device; s3, welding is conducted; a laser scanner is adopted for welding at a preset welding position, heat source gradient distribution of base metal at the two ends of a welding seam is controlled by regulating and controlling laser power, welding seam temperature field feedback is established through an infrared temperature sensor, and real-time monitoring and laser power regulating and controlling are conducted; s4, postweld heat treatment; and the laser power is adjusted in real time according to welding seam temperature field feedback so as to adjust and control the welding seam cooling process. According to the method, effective connection of zirconium-nickel indissolvable metal is achieved by controlling the regional welding temperature field, the temperature range for forming brittle compounds is avoided, the uniformity of a molten pool between Zr and Ni materials is ensured, and welding defects such as hot cracks and air holes are reduced.

The present invention relates to a curcumin 2-chloroadenine derivative compound or a stereoisomer, a deuterated substance, a solvate, a prodrug, a metabolite, a pharmaceutically acceptable salt or a cocrystal thereof.

The invention discloses a decimal multi-modulus frequency divider circuit based on space-time averaging and phase interpolation technologies. The decimal multi-modulus frequency divider circuit comprises a third-order noise shaping modulation module, a dynamic element matching and phase selection module, a phase switching frequency divider module and a pipelined phase interpolation module. The third-order noise shaping modulation module is used for performing time averaging on the input frequency dividing ratio to generate an instantaneous frequency dividing ratio; the dynamic element matching and phase selection module is used for spatially averaging the instantaneous frequency dividing ratio and generating a frequency divider control word and a phase interpolator control word; the phase switching frequency divider module is used for generating a clock signal corresponding to a frequency dividing ratio according to the frequency divider control word; and the pipelined phase interpolation module is used for performing phase interpolation according to the clock signal to generate a final clock signal with an accurate phase. According to the embodiment of the invention, the mutual cooperation of the modules is utilized, the fusion of the space-time averaging technology and the phase interpolation technology is realized, and the limitation of the space-time averaging technology is improved.

The invention discloses a shock wave CT inversion method and a rock burst early warning method based on active and passive double-source combination. The method comprises the following steps: 1, constructing a probability non-uniform initial velocity distribution model and a working face initial grid model of shock wave longitudinal waves and / or transverse waves; 2, travel time tomography forward modeling is carried out, and theoretical travel time and residual errors of theoretical longitudinal waves and / or transverse waves are calculated; 3, solving the gradient of the target function of the travel time residual; 4, carrying out seismic wave travel time tomography inversion, enabling the residual error and the RMS residual error to reach a stable state through the iterative adjustment of the seismic source and the velocity parameters of the longitudinal wave and / or transverse wave of the seismic wave, and outputting the final seismic source parameter and wave velocity; and 5, verifying the feasibility and accuracy of the inversion model through active CT numerical simulation, passive CT numerical simulation and active and passive double-source combined CT numerical simulation experiments. Working face wave velocity distribution obtained through inversion is more accurate, and the efficiency and accuracy of the shock wave CT technology are improved.

The invention relates to an asphalt mixture gradation identification method and system based on Vision Transform, and the method comprises the steps: shooting a slice map of an asphalt mixture test piece, and recording the gradation of the test piece; an OpenCV library is used, automatic cutting is carried out according to the aspect ratio of the slice map, and a data set is constructed in combination with grading of test pieces; preprocessing the data set sample, wherein the preprocessing comprises size adjustment, brightness matching, image enhancement and data amplification; and a Vision Transform classification network is used, training and testing are completed on the established data set, and asphalt mixture gradation identification is realized. Compared with the prior art, the method has the advantages that the accuracy rate is guaranteed, the cost of grading identification of the asphalt mixture can be remarkably reduced, and the tediousness caused by tests in the identification process is reduced.

The present application relates to the field of pharmaceutical preparations, in particular to a long-acting eye composite preparation for improving the symptoms of blepharitis. The preparation comprises a combination of two active ingredients in a therapeutically effective amount, and one or more ion-sensitive polymers or their complex systems, which are used to treat the symptoms of blepharitis caused by Demodex through a special double-cavity drug delivery bottle. By using a specific ion gel matrix concentration and regulating the viscosity of the drug solution before it reaches the eye, the limitations of traditional eye preparations are overcome, the retention time of the drug in the eye is prolonged, the bioavailability is improved, the probability of adverse events is reduced, and the medication compliance is increased.

The invention relates to the technical field of hydraulic engineering, in particular to a backflow surface velocity field algorithm. Through a particle image velocity measurement technology and in combination with an advanced image processing algorithm, automatic identification and tracking of a complex flow state of a Three Gorges change backwater area are realized. Through key technologies of image preprocessing, feature point matching, flow field interpolation and the like, visual display of a flow velocity vector diagram, the flow velocity and the flow velocity direction can be provided, so that powerful technical support is provided for reservoir operation management, ship navigation safety guidance, environment monitoring and scientific research; besides, the provided backflow surface velocity field algorithm not only can improve the flow state identification capability of the Three Gorges Reservoir, but also is expected to be popularized to other large-scale water conservancy projects and applied to ship navigation safety guidance, and has wide application prospects and commercial values.

The utility model discloses a feeding support assembly of a hydraulic plate shearing machine, relates to the technical field of hydraulic plate shearing machines, does not need to manually support a metal plate to move, is low in manual labor intensity and effectively solves potential safety hazards, and comprises two sets of main frames and secondary frames, and one sides of the main frames and one sides of the secondary frames are movably connected with adjusting assemblies; a reinforcing assembly is welded between the main frame and the secondary frames, an attaching seat is welded between the two secondary frames, a supporting frame is welded to the lower portion of the main frame, and an inclined frame is welded to one side of the supporting frame; the first strip-shaped frame and the second strip-shaped frame are movably connected to the interiors of the main frame and the secondary frame correspondingly, according to the size of a metal plate, after a handle is held to pull outwards or push inwards, the distance is adjusted, two sets of inserting rods are inserted into inserting grooves in the first strip-shaped frame for limiting, corresponding adjustment can be conducted according to the size of the metal plate, and the overall limitation is high; the use is convenient.

The utility model relates to the technical field of chemical fiber yarn disc defect detection equipment, in particular to a chemical fiber yarn disc inner supporting type clamp which comprises a grabbing part, a telescopic part and a rotating part, and the grabbing part, the telescopic part and the rotating part are used in cooperation to achieve the grabbing telescopic and rotating functions. According to the utility model, an internal supporting type clamping mode is adopted, so that extra damage to the chemical fiber scroll is effectively avoided; the supporting claw structure with the protruding points can be in multi-point contact with the inner wall of the paper tube after being opened, clamping friction force is improved, clamping stability is guaranteed, the paper tube deformation risk is reduced, meanwhile, the control capacity of the clamp for a scroll in the rotating process is improved, and the clamping device is particularly suitable for occasions needing high-precision image collecting and positioning. Through cooperation of the grabbing part, the telescopic part and the rotating part, the rotating part drives the whole to rotate, the telescopic part controls stretching, and the grabbing part is responsible for grabbing a scroll and is used for stably clamping the scroll during detection.

The invention discloses a kiwi fruit container seedling raising early-maturing-promoting cultivation method, and relates to the technical field of kiwi fruit cultivation, and the technical scheme is characterized in that Jiangxi red soil, an organic fertilizer, peat, chaff, perlite and vermiculite are mixed according to a specific proportion to form a substrate suitable for kiwi fruit growth; the scions of the grafted kiwi fruit seedlings are soaked in a 1.2% cyanamide solution, and the scions are taken out after being treated for a certain time; putting the treated grafted seedlings into a nutrition bowl, placing the nutrition bowl in a heat preservation shed, controlling the temperature in the shed, and promoting the scions to germinate in advance; after the scions germinate, conventional seedling culture management is carried out until the kiwi fruit seedlings reach the standard of high-quality seedlings. According to the method, the formula matrix based on specific red soil in Jiangxi is used, greenhouse covering heat preservation and 1.2% cyanamide agent treatment are combined, early germination of kiwi fruit scions can be effectively promoted, and the high-quality seedling rate of half-year seedlings and one-year seedlings of kiwi fruits is remarkably increased.

The application discloses a kind of for the method, device, equipment and medium of tab abnormality detection in battery cell production process, comprising: the tab area image collected in battery cell production process is segmented to generate tab mask;Based on the tab mask extraction multi-scale pixel-level feature vector, and the multi-scale pixel-level feature vector is input into unsupervised probability GMM model to identify pixel-level abnormal point;The pixel-level abnormal point is analyzed to obtain candidate abnormal area, and the parameter index of the candidate abnormal area is obtained;Determine whether the parameter index meets the set tab abnormality judgment rule, if meet, it is judged as tab abnormality, and tab abnormality result is output.Therefore, the application can be widely applied to the detection of tab folding, crease, fracture, misplacement and other abnormalities on battery cell production line.

The invention relates to a targeted ileum delivery endotoxin chelating agent drug and a preparation method and application thereof, and belongs to the technical field of pharmaceutical preparations, the drug comprises a specific high-molecular copolymer, and the high-molecular copolymer comprises a three-dimensional framework formed by organic carbon-carbon chemical bonds and comprises amino groups. The invention aims to deliver a macromolecular chelating agent to the far end of the small intestine to be released so as to chelate pathogen-related molecular patterns generated by intestinal microorganisms, including endotoxin and CpG-DNA. And a compound formed by the macromolecular chelating agent released in the ileum segment and a pathogen molecule mode can be discharged from the digestive tract, so that the inflammation of the organism is reduced, and various metabolic diseases are relieved.

The application discloses a kind of based on three-dimensional phase diagram straight writing line topography regulation and control method, device, equipment and medium, it is related to printing technical field, comprising: by obtaining the rheological test result of different viscosity ink, printing process parameters and line form characterization data, apparent viscosity and boundary parameter are obtained by integration and power law fitting, construct with normalized height, normalized velocity, apparent viscosity as three-dimensional dimension process phase diagram, then by matching adaptive parameter or ink rheological property obtains target form.This introduces apparent viscosity as the third dimension, optimizes the limitation that two-dimensional phase diagram only adapts specific viscosity ink, quantifies the correlation of process parameters, rheological property and line form, only three core parameters can realize cross-ink system form accurate prediction and regulation, compatible with multiple viscosity inks, significantly reduce parameter optimization time consumption, avoid experience trial and error, accurately identify material process window, provide quantitative target for ink formula optimization, improve printing process adaptability.

The invention relates to a copper sulfide-platinum reticular ultrathin nanosheet as well as a preparation method and application thereof. The microstructure of the nanosheet is a two-dimensional reticular structure consisting of copper sulfide and platinum. The copper sulphide-platinum ultrathin nanosheet is prepared through a replacement reaction means, and the net structure of the copper sulphide-platinum nanosheet is effectively regulated and controlled, so that the catalytic photodegradation performance of the copper sulphide-platinum ultrathin nanosheet is improved. The porous structure and the ultrathin structure of the copper sulfide-platinum netted ultrathin nanosheet are beneficial to providing abundant active sites, high specific surface area, efficient charge transfer and the like, and can provide better photodegradation efficiency. The preparation steps are simple, reactants are low in toxicity, hazardous chemicals are not contained, and the process is green and environment-friendly.

The invention discloses an attribute value interaction LPA * dynamic planning method for a disinfection robot, and particularly relates to an A * path planning method which modifies attribute values of grid points through an interactive method and combines dynamic search. The method comprises the following steps: firstly, processing environment data to construct a multi-attribute map; modifying attribute values of the grid points through an interactive method; and finally, considering the influence of multiple attribute values on the cost values of the nodes when searching the adjacent nodes, guiding the algorithm to search the nodes with low attribute values, and dynamically generating a path according to the change of the attribute values of the obstacles and the grid points. According to the method, an LPA * path planning method is improved, a multi-attribute map is combined on the basis of LPA *, compared with a multi-attribute A * path planning method, the attribute values of grid points can be dynamically adjusted, the limitation that the multi-attribute A * path planning method only depends on environment data to generate the attribute values is overcome, and the application range of the A * method is further expanded.

The application relates to the technical field of new materials, and discloses a quasi-zero stiffness unit suitable for different tensile loads, a metamaterial vibration isolation structure and a design method, which comprise a first rigid side wall and a second rigid side wall, a positive stiffness unit is arranged in the center of the first rigid side wall, a negative stiffness unit is arranged at the opening of the top of the first rigid side wall, and one end of the second rigid side wall is connected with the vertex of the positive stiffness unit and extends upwards through the negative stiffness unit. The application realizes the regulation and control of the stiffness response of the structure under the action of different loads by parameterizing the design and multi-level combination of the tensile unit configuration and combining the interaction of the positive stiffness and the negative stiffness, the quasi-zero stiffness platform of the structure can be adjusted with the change of the tensile load, so that the stable low dynamic stiffness characteristics of the structure can be maintained within a wide load range, and then the adaptive regulation and control and flexible control of the low-frequency vibration isolation performance are realized.

The invention relates to the technical field of catalysts, in particular to a magnetic heterogeneous visible light Fenton catalytic material and a preparation method and application thereof.The preparation method at least comprises the following steps that S1, melamine, guanine and ferric nitrate nonahydrate are dissolved in a solvent to obtain a melamine solution, a guanine solution and a ferric nitrate nonahydrate solution; s2, stirring and mixing the guanine solution and the melamine solution, adding the mixture into the ferric nitrate nonahydrate solution for coprecipitation, filtering the precipitate, and performing vacuum drying to obtain a precursor substance; and S3, firing the precursor substance to obtain the catalyst. The catalytic material provided by the invention has magnetism and excellent recovery capacity, the degradation efficiency can reach 90% or above within 30 min in the treatment of high-concentration phenol wastewater, and compared with the traditional Fenton reaction, the pH application range is widened, the cyclic degradation stability is high, and the efficiency can still be maintained at 80% after the catalytic material is used and regenerated for 9 times.

The utility model belongs to the field of photovoltaic devices, and particularly relates to a photovoltaic device for a sewage treatment plant, which comprises a base and an adaptive telescopic device. The adaptive telescopic device is provided with a connecting rod, a plurality of telescopic rods are fixedly installed on the periphery of the connecting rod, a first-order photovoltaic panel is hinged to the top of each telescopic rod, a second-order photovoltaic panel is hinged to the other side of each first-order photovoltaic panel, a third-order photovoltaic panel is hinged to the other side of each second-order photovoltaic panel, and a fourth-order photovoltaic panel is hinged to the other side of each third-order photovoltaic panel. The third hydraulic cylinder is driven to enable the third plunger to stretch towards one side, when the scissor type telescopic joint is pushed by the third plunger, the scissor type telescopic joint horizontally stretches towards one side, one end of the scissor type telescopic joint is hinged to a first-order photovoltaic panel, and the other end of the scissor type telescopic joint is hinged to a fourth-order photovoltaic panel. The photovoltaic panel is converted from a vertical state to a horizontal state along with traction in a linkage mode, the folding and stretching functions are achieved, the problem that the overall occupied space is large is solved, and the limitation in use is improved.

The invention discloses a method for simultaneously detecting 27 bisphenol compounds in a dairy product, an ultra performance convergence chromatograph is adopted for detection, ACQUITY UPC2HSS Torus 2-Pic chromatographic column is adopted for separation, an EMR-Lipid technology is adopted for purification, the 27 bisphenol compounds in the dairy product can be qualitatively and quantitatively detected at the same time, and the method has the advantages of being high in flux, high in speed and good in recovery and has a very good application prospect.

The application belongs to the technical field of solid-state dielectric material testing, and particularly relates to a ferroelectric capacitor ultrafast hysteresis loop measuring method. The application proposes an equivalent circuit, which can obtain the stray inductance in the circuit and the voltage division of the stray inductance changing with time; and proposes a ferroelectric capacitor hysteresis loop correction method; first, different polarity electric pulses are applied on a standard capacitor or a ferroelectric capacitor, the voltage division in the circuit in the nanosecond time is measured by a high-bandwidth oscilloscope, including the voltage division of the total resistance of the circuit and the voltage division of the ferroelectric capacitor; then, the influence of the stray inductance is corrected to obtain the circuit current at each moment, and then the charging and discharging current and the domain reversal current of the ferroelectric capacitor are obtained, and they are converted into the ferroelectric hysteresis loop in the nanosecond time range, and the ferroelectric polarization intensity and the coercive field size under different periods are obtained from the ferroelectric hysteresis loop. The application accurately measures the ferroelectric hysteresis loop with a period of nanoseconds by establishing an equivalent circuit model.

The invention discloses a multi-intelligent frequency decision communication method based on deep reinforcement learning. The method comprises seven steps: S1, system initialization; s2, constructing a multi-intelligent frequency decision communication model based on deep reinforcement learning; s3, frequency selection; s4, performing frequency synchronization, data transmission and confirmation; s5, a performance evaluation and reward mechanism; s6, iteration and adaptive adjustment are carried out; and S7, performing interference management and response. The invention provides a multi-intelligent frequency decision communication method based on deep reinforcement learning. A communication architecture is selected through an improved intelligent frequency. On the basis, a deep reinforcement learning algorithm based on three agents is further designed for learning an optimal response strategy of each node, so that frequency synchronization among the nodes is realized while interference signals are effectively avoided.

This invention discloses a method for identifying land cover in highly heterogeneous areas. The method includes: collecting heterogeneous historical land cover products of the target area and obtaining stable regions of different cover types through overlay analysis; dividing the target area into blocks based on its latitude and longitude information with a spatial constraint of 1°×1°, then setting three thresholds of 50, 70, and 100, and using a stratified sampling strategy to obtain uniformly distributed sample data of the target area; acquiring temporal optical, radar, and digital elevation data of the target area, and addressing the influence of clouds and rain through data synthesis; and finally constructing a tile-based classification model for classification. The tile-based classification model constructed in this invention addresses the heterogeneity of plateau regions, fully considering the similarity of adjacent land features and the large climate span of the plateau. Simultaneously, a strategy for stable, rapid, and uniform sample data generation is developed, saving material and financial resources. The mapping results provide data support for ecological civilization construction and biodiversity conservation.