113results about How to "Improve universality" patented technology

The application relates to the technical field of nanomaterial preparation, and particularly discloses a carbon nanotube preparation method based on carbon source and plasma time sequence cooperation and a carbon nanotube. In the gas phase deposition process, carbon source gas is input in a pulse mode, and a pulse type plasma is synchronously applied, wherein the carbon source input pulse and the plasma output pulse are time-differently matched, the carbon source supply window and the plasma action window form a non-fully-synchronized time sequence coupling relationship, the carbon source activation, transportation, deposition and structure reconstruction process are controlled in the time dimension, and meanwhile, the carbon source gas is introduced from a position close to the plasma action area to maintain the pulse opening and closing characteristics. The method can improve the growth selectivity of the carbon nanotube, reduce the defect density, and is suitable for controllable preparation of single-wall carbon nanotubes. The single-wall carbon nanotube with a semiconductor content greater than or equal to 83% can be prepared with high selectivity, and the product has the advantages of few defects, high purity and high yield.

This invention belongs to the field of numerical electromagnetic field solution, specifically a mesh adaptive method based on reconstructive posterior error estimation. The invention first performs finite element modeling of the target microwave component, introducing boundary conditions and excitations to establish a corresponding electromagnetic simulation model. Then, a tetrahedral mesh is used to divide the solution domain, and finite element electromagnetic simulation analysis is performed on the model to calculate the electric field at the centroid of the four faces of the tetrahedral mesh. The least squares principle is then used to refit the electric field on the tetrahedral mesh to reconstruct a first-order linear fitting expression. Next, the reconstructed solution at the nodes is calculated using the reconstructed fitting expression, and posterior error estimation is performed based on the electric field at the nodes. Finally, the mesh is refined according to the error on the tetrahedral mesh, and finite element electromagnetic simulation analysis is performed again until the finite element solution meets the accuracy requirements. This invention has the advantages of simple engineering implementation, low computational cost, and high universality.

This invention discloses a method and system for labeling prompt words in a large-scale communication domain model based on knowledge graphs. Belonging to the fields of communication technology and artificial intelligence, it addresses the following technical problems: low efficiency in labeling specialized terms in communication domain prompt word annotation, low accuracy and efficiency of automatic recognition, limited prompt word dimensions, and lagging domain knowledge. The method includes: sequence labeling and entity extraction using a trained combined model to output entities; generating relation triples as candidate relations using a trained generator, and scoring and ranking the selected relation triples using a trained discriminator; semantic parsing of user input to extract key entities and intents; multi-hop reasoning from a dynamic knowledge graph to retrieve relevant entities and relations; eliminating illusory content using a trained GAN network; generating entity prompt words from three levels: basic, extended, and application dimensions; and introducing a triple quality verification mechanism.

The application relates to the computer technical field, in particular to a page processing method and device, electronic equipment and storage medium, adopting a standard language, converting at least one original jump component based on an original language contained in an original application page into corresponding target jump components respectively; determining page jump indication information between the original application page and each other application page based on the at least one original jump component; adopting the standard language, converting at least one original page element based on the original language into corresponding target page elements based on the element conversion mode corresponding to each original page element contained in the original application page; and sending the obtained at least one target jump component, page jump indication information and at least one target page element to the search server for associated storage. In this way, the richness of search results can be improved.

The application discloses a reinforcing steel segment integral hoisting device suitable for general straight thread connection, comprising: a forming jig frame, which comprises a plurality of frame bodies arranged around the outer periphery of the reinforcing steel segment; a lifting device is arranged on the top of the frame body; a whole forming jig frame is arranged on one side of the frame body towards the center of the forming jig frame, and the whole forming jig frame is connected with the frame body through a plurality of first telescopic devices; a part hoist is arranged in the center of the forming jig frame; the part hoist comprises a main beam frame, and a main reinforcement limiting device is arranged on the main beam frame corresponding to the position of each main reinforcement, so that each main reinforcement is detachably connected with the main beam frame and is limited. The application also discloses a reinforcing steel segment integral hoisting method suitable for general straight thread connection and using the above device. The application realizes butt joint of the main reinforcement of the reinforcing steel segment and the main reinforcement already installed on the tower top by using a straight thread sleeve, reduces the use of customized joints, and improves economic benefits.

The application discloses a kind of based on carbon-based modified electrode microbial quantity dynamic evaluation method.The method comprises the following steps: preparing carbon-based modified electrode doped with target microorganism;Carbon-based modified electrode is used as working electrode, and reference electrode and counter electrode constitute three-electrode system, and is placed in the medium containing target microorganism to be measured in the electrochemical scanning of target microorganism, and the electrochemical response signal is collected;The electrochemical response signal is processed, and the characteristic electrochemical parameter of target microorganism metabolite is obtained;According to the preset detection time threshold selection model: when detection time is less than or equal to preset duration, linear model is used;When detection time is greater than preset duration, dynamic metabolism model is used;Characteristic electrochemical parameter is substituted into the selected model, and the number of microorganisms in the medium to be measured is calculated.The application can realize accurate quantification, anti-interference detection and rapid dynamic evaluation of the number of microorganisms, and significantly improve detection efficiency and accuracy.

This invention discloses a non-destructive method for sex detection of chicken embryos in the early incubation period based on RF-DS image information fusion. Machine vision and a spectrometer are used to collect information on horizontally placed embryos at day 4 of incubation. Based on image and spectral preprocessing, image texture features and spectral features are extracted. Then, basic probability assignment functions (BPAs) are constructed using the RF classification results of two single-feature types as independent evidence. Decision-level fusion is performed using D-S evidence theory, and the final identification result is given based on the classification decision threshold. Experimental results show that the highest accuracy of the image and spectral single-feature RF models reaches 78.00% and 82.67%, respectively, while the multi-feature decision fusion identification method achieves an accuracy of 88.00%, with sex identification rates of 90.00% and 86.25%, respectively. The time for identifying a single egg is 2.843 seconds. These results demonstrate that this spectral-image information fusion method can improve the accuracy of sex identification in early incubation embryos.

This invention discloses an attribute fusion method and system based on unsupervised hybrid multimodal and ternary adaptive transfer autoencoder, belonging to the fields of artificial intelligence and seismic exploration. The method includes: constructing an unsupervised hybrid multimodal adaptive weighted feature fusion autoencoder (UHM-AWFFA) network, where the encoder uses a multi-branch independent encoder to extract deep independent features of multiple seismic attributes and dynamically fuses them through a weighted feature fusion layer; the decoder performs hierarchical reconstruction of the fused features, simultaneously outputting the reconstruction results of each attribute and the fused attribute profile; training is performed using an interactive reconstruction loss function, and fine-tuning is performed using a ternary multimodal adaptive dynamic transfer learning (TE-MADT) strategy, including a gradient-driven adaptive thawing mechanism, a multimodal collaborative transfer strategy, and a cross-modal knowledge distillation mechanism. This invention achieves nonlinear intelligent fusion of seismic attributes, effectively uncovers deep coupling relationships between attributes, and improves the geological interpretation accuracy of the fused profile.

The utility model discloses a kind of stainless steel manhole covers with supporting rib, more specifically in the technical field of manhole cover, including manhole cover outer frame, the lower part annular array of bearing mechanism is fixedly connected with several conducting mechanism, the lower part middle position of bearing mechanism is fixedly connected with guiding mechanism, reset component lower side is fixedly connected with supporting mechanism outside reset component slidingly connected, the lower side of supporting mechanism outside annular array is fixedly connected with several positioning mechanism.The utility model is a kind of stainless steel manhole covers with supporting rib, the effect of dispersion transmission of the pressure suffered by manhole cover outer frame and bearing mechanism can be carried out by conducting mechanism, the effect of reset to bearing mechanism upwards can be realized by reset component, the effect of supporting manhole cover outer frame can be realized under the action of supporting mechanism, and the effect of installation and fixation to supporting mechanism can be realized by positioning mechanism, improve the practicality and universality of device.

This invention discloses a control system for an intelligent inspection robot for stormwater and sewage pipelines, comprising a microcontroller unit, a multi-sensor module, an image acquisition module, a communication module, and a power module. Through multi-sensor collaborative perception and intelligent decision-making mechanisms, it integrates multi-dimensional data such as images, distance, and environmental data, and employs adaptive path planning and obstacle avoidance algorithms, making it suitable for autonomous inspection tasks in complex pipeline environments. The image acquisition module integrates a high-definition camera and a WiFi module; the distance detection unit combines ultrasonic and infrared ranging sensors to achieve complementary ranging and improve detection accuracy; the environmental monitoring unit uses gas sensors to detect the concentration of toxic and flammable gases such as ammonia and sulfides in the pipeline in real time, and automatically triggers an early warning when the concentration exceeds the standard. This effectively solves the problems of existing pipeline robots, such as single sensor detection methods, poor environmental adaptability, and insufficient intelligence, improving inspection efficiency and system reliability, and reducing manual maintenance costs.

The utility model discloses a large -scale casting turning device, including base, the upper surface both ends of base symmetry is provided with at least two fixed blocks, is provided with the guide rod between two corresponding fixed blocks at the both ends of base, is provided with two trapezoidal seat on the guide rod and slides, the upper surface of trapezoidal seat is installed T -shaped piece, and the upper surface of T -shaped piece is provided with U -shaped groove. Large -scale casting only needs to install the rotating shaft or rotating column etc. at its both ends, then through hoisting equipment places it in the U -shaped groove of T -shaped piece, can form a stable gyrostat. The turning process does not need complicated hoisting positioning and repeated adjustment, only needs to exert a suitable initial force (such as human power or simple mechanical power), can utilize gravity or inertia and realize the 180 degree turning of casting. Significantly shorten the turning time, simplify the operation process, improve production efficiency.

This invention relates to the field of mathematical modeling technology, and more particularly to a method, apparatus, device, and computer-readable storage medium for predicting the remaining lifespan of lithium-ion batteries. The method includes: establishing a segmented empirical degradation model based on inflection point data of the lithium-ion battery; obtaining an initial prediction result of the remaining lifespan of the lithium-ion battery according to a preset particle filter algorithm and the segmented empirical degradation model, and obtaining an original error sequence based on the initial prediction result; determining a reconstruction error sequence corresponding to the capacity of the lithium-ion battery according to the original error sequence and a preset discrete wavelet transform algorithm; constructing a prediction model using a support vector regression algorithm based on the reconstruction error sequence, and correcting the initial prediction result based on the prediction model to determine the final prediction result of the remaining lifespan. This invention improves the prediction efficiency and accuracy of the remaining lifespan of lithium-ion batteries.

This invention belongs to the field of process control and low-voltage electrical appliance testing technology, specifically relating to a circuit breaker short-circuit breaking capacity assessment system based on arc signal characteristics. The system includes: a signal acquisition device for real-time capture of transient voltage and current signals; a twin modeling architecture for constructing a lumped parameter model describing the evolution of the arc-extinguishing chamber; a state observer for optimal estimation of the nonlinear system state; a recursive identification module for analyzing the arc time constant, internal pressure, and arc root position; a feature mapping unit for identifying the degree of damage to the arc-extinguishing chamber caused by contact erosion or medium degradation; and an evaluation terminal for quantifying the score and outputting a report. This invention, through multi-field deep fusion and recursive estimation of latent variables, can accurately invert the internal erosion state and cooling capacity changes of the arc-extinguishing chamber, achieving quantitative assessment and trend warning of the circuit breaker's short-circuit breaking capacity.

This invention discloses a machine learning-based method, identification method, and apparatus for detecting and identifying UAV telemetry and control link signals, relating to the field of signal detection, and aimed at improving applicability to complex electromagnetic backgrounds such as non-Gaussian noise environments. The invention includes: acquiring radio frequency (RF) signals; preprocessing the RF signals using wavelet transform; extracting and fusing the dimensional transformation state statistical features and signal envelope features of the preprocessed RF signals to obtain fused features, and performing UAV presence identification based on the dimensional transformation state statistical features; calculating the classification results of the fused features using a basis vector learning model and a spatial metric search model, respectively; and performing weighted fusion of the calculated classification results, using the category corresponding to the maximum fused classification probability as the identification result. This invention improves the accuracy of UAV telemetry and control link signal detection in complex non-Gaussian channel environments, exhibits better universality in non-Gaussian noise environments, and demonstrates strong robustness.

This application relates to the interdisciplinary field of deep learning and protein analysis, specifically to a method, apparatus, device, and medium for analyzing multi-target proteins in obesity based on deep learning. The method includes: acquiring biological sample data and preprocessing the biological sample data to obtain preprocessed biological sample data; the preprocessed biological sample data includes protein expression data and obesity classification labels corresponding to the protein expression data; the protein expression data includes multiple protein expression features; constructing an initial deep learning model for analyzing multi-target proteins in obesity based on a multilayer feedforward neural network; training the initial deep learning model based on the preprocessed biological sample data to obtain a deep learning model for analyzing multi-target proteins in obesity; and determining multiple protein expression features related to obesity based on the deep learning model for analyzing multi-target proteins in obesity.

The application discloses a mechanical-chemical preparation method of potassium borohydride, and belongs to the technical field of potassium borohydride preparation. The method is characterized in that magnesium-based reducing agent, hydrogen supplementing agent and potassium borate hydrate are used to prepare potassium borohydride through a mechanical-chemical method under a protective atmosphere, and the prepared potassium borohydride is subjected to yield testing and purification under an air atmosphere. The method can realize solid-phase mechanical-chemical reaction under a vibration or low-energy planetary ball milling condition, breaks through the limitation that the reaction must be driven by high-energy ball milling equipment in the prior art, and can realize synthesis of potassium borohydride with a yield of more than 90% through low-energy planetary ball milling, so that the method has large-scale production application potential. In addition, the method has the advantages of simple process, convenient operation and low cost.

The utility model discloses a kind of anti-slip mould transfer equipment, specifically related to mould transfer equipment technical field, including flatbed transfer trolley, automobile mould is placed in flatbed transfer trolley top, the both sides of flatbed transfer trolley are equipped with limit post, the both ends of limit post are rotatably connected with support rod group;The support rod group includes support rod box, lifting assembly for driving column box along support rod box to do linear movement is equipped in the support rod box, for driving limit post and automobile mould contact to limit automobile mould movement.The utility model is limited to the automobile mould placed in flatbed transfer trolley top by utilizing column box from top, to prevent the phenomenon that it slips in the process of transfer, after use, limit post and support rod group can be rotatably stored in the four sides of flatbed transfer trolley, also cannot occupy the space of flatbed transfer trolley top, ensure that the top of flatbed transfer trolley is not blocked, avoid to increase the operation difficulty for the hoisting of automobile mould.

The application discloses a kind of algorithm template acquisition method, system and storage medium for sewing machine piecework, it is related to mechanical equipment technical field, comprising the following steps: according to the source setting flag of template data, template data is stored classifiedly after;Cloud platform calls stored template data;Template data is respectively processed based on data flag;According to the result of data processing, generate piecework algorithm template, and piecework algorithm template is stored classifiedly;The acquisition of algorithm template is carried out before piecework algorithm carries out piecework, provides basis for piecework algorithm, improves the efficiency and accuracy of piecework algorithm, obtains a variety of different algorithm templates, can be better applied to a variety of different working conditions, improves the universality of algorithm template use.

This invention discloses a fast quasi-peak detector simulation method for EMI receivers based on pulse detection coefficient fitting, comprising: acquiring the amplitude result of the target signal after processing by a peak detector; establishing a quasi-peak response model and determining the pulse detection coefficients; calculating the quasi-peak detection result corresponding to the target signal using the mathematical mapping relationship between quasi-peak voltage and peak voltage; and using the quasi-peak detection result as a fast predictive output to replace the time constant integration of traditional quasi-peak detection circuits for electromagnetic interference assessment. This invention is beneficial for the electromagnetic compatibility design of power electronic equipment and solves the problems of electromagnetic compatibility array testing time and cost.

This invention discloses a multi-level adaptive machining auxiliary clamping device, belonging to the field of robotic automated drilling and riveting. The base module of this invention is used to stably connect the pressure foot to the robot's end effector and provides mounting positions for the conformal module, locking module, and alignment module. The conformal module uses a cylindrical pin array to automatically adapt to the surface shape of workpieces with different curvatures and conforms accordingly. The locking module is used to lock the conformed cylindrical pin array, ensuring the stability of the conformation. The alignment module is used to align the perpendicularity of the tool axis to the workpiece surface before drilling. This invention has a simple structure, low cost, and convenient installation. By applying clamping force to the workpiece surface, it can reduce the influence of drilling axial force on the workpiece, reduce chatter during machining, and improve machining stability. Simultaneously, this device can achieve automatic conformal clamping of workpieces with different curvatures, ensuring stable clamping while reducing workpiece deformation and further improving drilling accuracy.

The application relates to the technical field of artificial intelligence and industrial simulation, in particular to an evolvable industrial simulation question and answer intelligent agent system and a simulation question and answer method thereof. The evolvable industrial simulation question and answer intelligent agent system comprises a knowledge base module, a tool calling module, an intelligent agent core module, a user interaction module and a log and audit module; the knowledge base module comprises a multi-element knowledge collection unit, a document loading and cutting unit, a vectorization embedding and storage unit, a semantic retrieval unit, a knowledge evolution unit, a rule base and a case base; the application has the beneficial effects that (1) knowledge is dynamically evolved and updated autonomously and timely; (2) the system has the capability of autonomously refining knowledge from simulation results; (3) tool calling is intelligentized, and the system realizes "question and answer as calculation"; (4) the system has strong capabilities of complex problem disassembly and iterative solution; and (5) the system has excellent adaptability and expandability.

This invention relates to the field of vapor phase corrosion inhibitors and discloses a green and environmentally friendly vapor phase corrosion inhibitor and its preparation method, which is composed of the following raw materials in the indicated mass percentages: phytic acid 30%-38%, citric acid 8%-12%, diethanolamine 32%-40%, morpholine 4%-8%, water 10%-15%, ethanol 4%-6%, benzotriazole 1.5%-2.5%, and alanine ternary complex 0.5%-3.0%. Phytic acid, extracted from rice bran processing byproducts, and citric acid, derived from citrus fruits, are used as the core organic acid components. The polyphosphate groups of these two components form a synergistic chelate system with the carboxyl groups. Combined with other green components, this eliminates dependence on non-renewable petrochemical products from the source of raw materials, truly realizing the green properties of the corrosion inhibitor, and exhibiting excellent biocompatibility. The alanine ternary complex, through the multi-coordination site structure formed by L-alanine, phosphoric acid, and dibutylamine, synergistically works with the heterocyclic structure of benzotriazole to fill the defects in the protective film formed by the adsorption of single benzotriazole, enhancing its adsorption and compatibility with different metal surfaces.

The application discloses a kind of marine low-speed engine scavenging process in-cylinder vortex angle momentum prediction method and its prediction system.Step 1: according to engine model, build direct-flow scavenging in-cylinder vortex velocity field;Step 2: according to direct-flow scavenging in-cylinder vortex velocity field, utilize improved Sigmoid function to simulate velocity field, to describe the circumferential velocity variation of vortex in cylinder;Step 3: according to the circumferential velocity variation of vortex in cylinder, calculate theoretical vortex angular momentum;Step 4: according to gas mass loss condition, calculate the vortex angular momentum loss caused thereby;Step 5: according to friction stress formula, calculate the vortex angular momentum loss caused by wall friction;Step 6: according to the transformation of vortex energy, calculate the angular momentum loss caused by vortex internal shear.Quick and robust prediction of the vortex level of marine low-speed engine two-stroke direct-flow scavenging structure is realized, initial boundary conditions are provided for low-speed engine spray combustion, and model basis is provided for engine digitization.

This invention discloses a metal-nucleic acid coordination nanosystem, its preparation method, and its application. The preparation process of the nanosystem is as follows: CuCl2 solution, MnCl2 solution, siRNA solution, and EGCG solution are mixed and reacted at 37°C with stirring to obtain preliminary nanoparticles, denoted as Cu-Mn-siRNA; the obtained Cu-Mn-siRNA nanoparticles are mixed with PEI solution and co-incubated for surface coating. After purification, the final target nanomaterial is obtained, denoted as Cu-Mn-siRNA@PEI. After entering tumor cells, the surface-modified PEI enhances the interaction between the nanoparticles and the negatively charged cell membrane through its positive charge, thereby promoting the internalization and uptake of the nanosystem by the cells. Under the high GSH environment within the cells, the coordination structure dissociates, releasing Cu... 2+ Mn 2+ And siGPX4. This nanosystem integrates the catalytic function of bimetallic ions, the gene silencing function of siRNA, the coordination-assisted function of EGCG, and the delivery and stabilization function of PEI, achieving synergistic therapy of "reactive oxygen species generation + target gene silencing".

The application belongs to the field of molecular biology identification, and particularly relates to a specific SNP site combination for identifying Duntou pig breeds and application. The specific SNP site combination for identifying Duntou pig breeds comprises 40 SNP sites, and the physical position is based on the reference genome of pigs Sscrofa11.1 The sequence comparison is determined. The specific SNP site combination is screened based on the method of whole genome association analysis combined with selection signal analysis, so as to ensure the accuracy of site selection. The specific SNP site combination provided by the application can rapidly realize the accurate identification of Duntou pig breeds at the gene level, and has significant application value in the accurate protection of Hainan local pig genetic resources and breed utilization.

This invention belongs to the field of aero-engine cooling design and flow heat transfer optimization technology. It provides a method, system, configuration, and blade for constructing turbine blade cooling fringe based on level set topology optimization. The method includes: constructing a fluid-structure interaction (FSI) computational model encompassing the fluid domain of the cooling channel and the solid domain of the blade wall; defining a level set function to implicitly represent the two-phase region; establishing a unified set of governing equations covering the entire computational domain based on this function; introducing a velocity suppression mechanism in the solid domain to perform single-domain coupling solution of fluid flow and solid heat conduction; constructing an optimization model based on the physical field solution, with cooling performance as the objective function and fringe volume fraction as the constraint; calculating the sensitivity of the objective function to the level set function; using this sensitivity to drive the level set function update to evolve the fringe boundary; iterating until convergence to output the final fringe geometry. This invention does not require pre-setting the fringe type and can automatically generate irregular fringe structures with high heat transfer efficiency and low flow resistance.

This invention provides a system and method for equipment fault diagnosis based on collaborative reasoning using a large model and knowledge graph. It relates to the field of equipment fault diagnosis technology and includes: a data layer for acquiring real-time operating data of the equipment under test and preprocessing the data; a knowledge layer connected to the data layer for analyzing the preprocessed real-time operating data to determine the presence of fault data; and a model layer connected to the knowledge layer for analyzing the fault data when the analysis results output by the knowledge layer determine the presence of fault data, thereby obtaining the cause of the fault and the corresponding maintenance plan. This invention deeply integrates data processing, fault identification, intelligent analysis, predictive warning, and lifespan assessment, achieving an upgrade in equipment fault diagnosis from passive response to proactive prevention, and from single-data judgment to multi-dimensional collaborative reasoning.

The utility model belongs to the technical field of unmanned aerial vehicle loading boxes, and discloses a loading box assembly and a loading unmanned aerial vehicle device. The loading box assembly comprises a box body and a drawing box. The box body comprises a first bottom plate and a plurality of side plates. The first bottom plate and the plurality of side plates form a first loading cavity. The drawing box comprises a second bottom plate, a pulling plate and two partition plates. The pulling plate is connected with the second bottom plate, the two partition plates are rotationally connected to the second bottom plate, the two partition plates can be folded on the second bottom plate and penetrate through the strip-shaped grooves, the two partition plates can be unfolded, and a second loading cavity is formed by the two partition plates, the pulling plate, the second bottom plate and the side plates, so that the loading capacity of the loading box assembly is high; the size of the loading space is adjustable and easy to adjust; the structure is compact. The loading unmanned aerial vehicle device comprises an unmanned aerial vehicle assembly, a clamp assembly and the loading box assembly, the clamp assembly is fixed to the loading platform of the unmanned aerial vehicle assembly, and the clamp assembly is used for fixing the loading box assembly, so that the loading capacity is high, the loading space size is easy to adjust, the structure is simple, and the transportation safety is high.