21results about How to "Reduce randomness" patented technology

The present application relates to the technical field of bridge quality detection, especially to a continuous beam bridge different span loading load test method, comprising the following steps: determining a control section on the continuous beam bridge; measuring the axle load and the wheelbase of the test vehicle; calculating and analyzing the interval area of the calculated bending moment change effect function with the moving vehicle; analyzing and calculating the interval area of the measured bending moment change effect function with the moving vehicle; comparing the ratio of the interval area of the calculated bending moment change effect function with the moving vehicle and the interval area of the measured bending moment change effect function with the moving vehicle through the calibration coefficient to determine whether the bearing capacity requirement is met. The continuous beam bridge different span loading load test method can effectively reduce the arrangement of measuring points and the need for test vehicles, and quickly and accurately judge the bearing capacity state of the bridge by calculating the bending moment change effect function with the moving vehicle and the measured bending moment change effect function with the moving vehicle.

The invention relates to the field of microbiological examination laboratory equipment, and discloses a drying and disinfecting device and method for a specimen glass slide for microbiological examination. The device comprises a machine shell, a motor and a controller, the detachable rotating shaft is in transmission connection with the driving motor; the support frame is detachably arranged on the detachable rotating shaft and forms a plurality of mounting surfaces; the glass slide mounting plate is detachably mounted on the mounting surface, and a plurality of glass slide mounting stations are arranged on the glass slide mounting plate; the drying module comprises a drying lamp; the disinfection module comprises an ultraviolet disinfection lamp; and the control module is electrically connected with the driving motor, the drying module and the disinfection module and is used for executing a drying program and a disinfection program. The problems that in an existing glass slide processing method, the drying capacity and uniformity are difficult to consider at the same time, the drying process is uncontrollable, and low efficiency and safety risks are caused by separation of the drying process and the disinfection process are effectively solved.

The application relates to a wiring mechanism which comprises a mouthpiece, a first structural member and a pressure adjusting assembly, the mouthpiece is used for being connected with a rotating mechanism for winding a wire on a workpiece to be wound, a first clamping part is arranged on the mouthpiece; the first structural member is arranged on the mouthpiece, a second clamping part is arranged on the first structural member, and the first clamping part and the second clamping part are matched for clamping the wire; the pressure adjusting assembly is arranged between the mouthpiece and the first structural member, and the pressure adjusting assembly is used for driving the mouthpiece to move so as to adjust the force applied by the first clamping part to the wire. In the wiring mechanism, the mutual cooperation among the mouthpiece, the first structural member and the pressure adjusting assembly enables the first structural member to apply a set force to the wire, so that the wire has a certain tension, and then the wire can be always hooked by the mouthpiece when wiring, and the wire can be closely arranged on a terminal when winding, thereby reducing the randomness and the defective rate during wiring.

The invention relates to a ginseng age lossless classification model construction method and a ginseng age lossless classification system, in particular to a ginseng growth age classification method based on a hyperspectral imaging technology and an improved swarm intelligence optimization algorithm. The method solves the problems of high-dimensional data redundancy, insufficient map feature utilization, insufficient model generalization ability, low precision of fine classification for adjacent years of cultivated ginseng and the like in the prior art. The method comprises the following steps: 1, acquiring hyperspectral image data of ginsengs of different ages and preprocessing the hyperspectral image data; 2, screening spectral features and texture features based on the hyperspectral image data; 3, performing feature-level fusion on the spectral features and the texture features to obtain fusion features; and 4, inputting the fusion features into the constructed IHSO-RF model for training and testing. The classification model is embedded in the system, and classification of the age of the ginseng is achieved. The method is suitable for the fields of intelligent perception and analysis based on hyperspectrum and machine vision, nondestructive testing and grading of quality of agricultural products / traditional Chinese medicinal materials and the like.

This invention relates to the field of testing technology for large ship propulsion systems, specifically to a test method and system for assessing the wear reliability of large water-lubricated bearings. This invention ensures the similarity in lubrication and cooling performance among three pairs of friction pairs tested—material test blocks, scaled-down samples, and full-scale prototypes—in terms of test objects. When comparing and analyzing wear, the influence of relative sliding speed on wear is simplified by using a linear velocity cyclic test design with the same time span, thus simplifying the wear rate model of the water-lubricated bearing. Compared to solely relying on the durability cyclic test data of the full-scale prototype, the addition of scaled-down sample tests reduces the randomness of test data, and the use of the maximum average wear value as input to determine the wear model of the water-lubricated bearing improves the engineering reliability of the assessment method. This invention can shorten the testing and assessment cycle for the wear reliability of large water-lubricated bearings, save testing costs, and provide highly accurate assessment results.

This invention relates to a triangular prism-type tuned mass damper suitable for large-span cantilever structures, comprising a triangular prism box (1), a particle damping unit (4) disposed within the triangular prism box (1), and a steel mass block (3). A high-damping spring (2) is located below the triangular prism box (1). The particle damping unit (4) includes a particle damping chamber (5), three different sized particle balls, and a foamed rubber pad (9). When the structural vibration amplitude is small, the particle balls dissipate energy by compressing the foamed rubber pad and rolling; when the structural vibration amplitude is large, the particle balls dissipate energy by colliding and compressing the foamed rubber. Compared with the prior art, this invention achieves a phased energy dissipation mechanism while solving the problems of narrow vibration reduction bandwidth, large motion stroke, and noise generated by particle collisions in traditional mass tuned dampers.

This application relates to the field of vibration equipment technology and discloses a concrete vibrator for core molds in hollow core slab construction. The vibrator includes a vibrating rod and a sliding plate that can move along the upper surface of a reinforcing cage. A sleeve through which the vibrating rod passes is located at the center of the sliding plate. A cross-hinged rocker arm assembly is provided on the sleeve, and each of the four ends of the rocker arm assembly has clamping legs that can contact the reinforcing cage. This concrete vibrator for core molds in hollow core slab construction, through the coordinated design of a movable sliding plate, a mechanical centering clamping mechanism, and a vibrating rod guiding and stabilizing sleeve, transforms vibration operations from a high-risk manual operation relying on individual worker experience into a streamlined, mechanically assisted, accurate positioning and stable operation. This significantly reduces the probability of core mold breakage, improves the consistency of vibration quality, reduces worker labor intensity, and enhances construction safety.

The invention provides an AIE fluorescent probe-oriented multi-index weighted scoring screening method and system. The method comprises the following steps: acquiring data such as a probe molecular structure and an experimental environment, and preprocessing the data to obtain a feature data set; for thermal stability, light stability, Stokes shift and AIE enhancement factors, optimal molecular descriptors and dichotomy prediction models are selected respectively; inputting a to-be-evaluated probe into the target model to obtain a prediction result, and calculating a synthetic accessibility score; combining the prediction result with the standardized synthetic accessibility score to form index data; the weight of each index is determined through mixed data factor analysis, and a comprehensive score is calculated to realize probe sorting and screening. According to the method, efficient screening of the AIE probe can be realized, the trial and error cost is reduced, and the scoring stability and applicability are enhanced.

The invention discloses a mechanical arm motion planning method and system, and the method comprises the steps: obtaining target and obstacle point clouds through a 3D camera, and carrying out the registration to obtain pose information, carrying out the URDF modeling and MoveIt configuration of a mechanical arm, and carrying out the improvement of an RRT-connect algorithm, and the method comprises the steps: introducing a dynamic target bias, directional heuristic sampling and elastic band smoothing algorithm mechanism, the planning efficiency and the path smoothness are improved; performing inverse kinematics solution on the path points to obtain a joint track; optimizing the trajectory by adopting self-adaptive polynomial interpolation, and performing cubic or quintic polynomial interpolation according to the complexity of an interpolation section; and finally, the track is converted into a control instruction through a Modbus TCP protocol, and the mechanical arm is driven to safely move to the target position. According to the method, the planning speed, the track quality and the motion stability of the mechanical arm in the complex environment are remarkably improved.

The application discloses a kind of based on code semantic information and optimization strategy's smart contract vulnerability repair method, including the following steps: S1: build vulnerability code section and obtain dependent relationship set;S2: through prompt engineering, locate vulnerability, extract core vulnerability element and obtain vulnerability logic path;S3: based on vulnerability description information and vulnerability logic path analysis vulnerability generation process;Then based on contract, function, variable and corresponding vulnerability code section, utilize LLM to generate candidate repair patch;S4: combine BERTScore of evaluation semantic similarity and code entropy of evaluation complexity to build comprehensive reward score, based on comprehensive reward score and through incentive mechanism guide LLM optimization candidate repair patch to obtain optimized candidate repair patch.The present application prompts big model to carry out vulnerability repair through vulnerability related context and path information, and combines optimization strategy to improve patch quality, can generate more conforming to business demand repair patch, significantly improves the reliability of repair patch.

The invention relates to a task planning method and device, a task processing method and device, computer equipment, a computer readable storage medium and a computer program product. The task planning method comprises the steps that when a target task split from a user task is executed, feasible follow-up paths of the target task are planned through multiple professional agents, and candidate solutions generated by the multiple professional agents are obtained; performing quantitative evaluation on the plurality of candidate solutions to obtain respective scheme evaluation results of the plurality of candidate solutions; determining a first solution of the target task based on the respective scheme evaluation results of the plurality of candidate solutions; and generating a task solution of the user task according to the first solution of the target task. By adopting the method, the task planning decision accuracy can be improved.

The application provides a kind of based on deep reinforcement learning's finishing strip head offset control method, it is related to the technical field of metallurgical automation, including the following steps: screening and defining the key process parameters that affect the lateral deflection of the strip head in the hot rolling finishing rolling process;Head deflection amount prediction model based on particle swarm optimization-support vector regression is constructed;The strip head deflection control problem is modeled as a Markov decision process, while a high-dimensional state space is constructed, the preset difference adjustment amount of the front stand roll gap of the finishing mill is defined as the action space, and a reward function is constructed that takes into account the deflection control accuracy and system operation stability;Introduce the control strategy based on deep Q network to iteratively train the Markov decision process, and realize dynamic closed-loop control of the current strip head lateral deflection by real-time acquisition of the current strip running data.The method of the application realizes the change from post-adjustment to pre-prediction by introducing the PSO-SVR prediction model.

The utility model discloses a spraying head of an electric heating coffee barrel. The spraying head comprises a spraying pipe column and a spraying head body. The spraying pipe column is connected to the top end of a spraying column of the coffee barrel; the spraying head comprises a diffusion opening and an arc-shaped top; the lower portion of the diffusion opening is communicated with the spraying pipe column and is of a horn-shaped structure with the upward section gradually enlarged. The arc-shaped top is of an arc-shaped top structure and is fixed to the top end of the diffusion opening. And a plurality of spraying openings are formed in the periphery above the diffusion opening. According to the utility model, the scattering ports and the spraying ports are used for synergistically guiding flow, and the trumpet-shaped diffusion port design is combined with the plurality of spraying ports distributed in the circumferential direction, so that water vapor can be converted from concentrated spraying to multidirectional diffusion, the coverage range is expanded, the surface of the extraction basket is ensured to be uniformly infiltrated, and local over-extraction or insufficient extraction is avoided.

The invention relates to a photovoltaic unmanned aerial vehicle cleaning path candidate generation method based on representative sampling, and the method comprises the steps: designing a small number of balanced and low-correlation factor combinations around key factors such as starting point selection, an intra-cluster construction strategy, a weight-distance tradeoff coefficient and a cross-grade connection rule through a small-sample representative combination sampling method, and carrying out the selection of the cleaning path candidate of a photovoltaic unmanned aerial vehicle. Quickly generating a small batch of array cluster access sequence candidates with strong representativeness; under each cluster sequence, a component-level path is generated according to a set intra-cluster component sequence and direction optimization strategy; and finally, combining the clusters with the paths in the clusters to generate all candidate paths. According to the method, dirt weight rapid coverage and flight path / time cost control are taken into consideration, and high-quality candidate paths are provided for subsequent global path scoring and screening.

This application relates to the technical field of bent needle production equipment, and in particular to a medical bent needle loading device, including a bent needle table, a needle storage box on the bent needle table, needle storage slots at both vertical ends of the needle storage box, standard needles stacked vertically in the needle storage slots, a needle release assembly on the needle storage box for releasing the standard needles in the needle storage slots, a needle binding component on the bent needle table for fixing the tail of the standard needles released from the needle storage box, a bending plate slidably arranged on the bent needle table along the needle tube axis of the standard needles, a sliding component on the bent needle table for driving the bending plate to slide, and a corner bender on the bending plate for controlling the bending angle of the standard needle tube. This application has the effect of reducing the difficulty of bending standard needles and improving bending efficiency.

The application discloses an image data processing method, a storage medium, a processor and a system. The method comprises the following steps: acquiring an image to be recognized, wherein the image to be recognized contains at least one region, and at least one object exists in each region; processing image data of the image to be recognized to obtain distribution data corresponding to the at least one region; and determining whether a region type of the at least one region is a first region type according to the distribution data corresponding to the at least one region, wherein the object in the region corresponding to the first region type is not stored in a preset storage region. The application solves the technical problem of high region labeling cost caused by the fact that an effective region cannot be effectively screened out from multiple regions in an image in the prior art.

The invention discloses an electronic wire rod detection system, and relates to the technical field of machine vision detection and intelligent manufacturing. A wire core candidate frame is converted into a chain topology structure with a spatial sequence, and a geometric consistency constraint and position correction mechanism is introduced into structured reasoning; wire core positioning is returned from an isolated frame to an overall layout constrained by a neighborhood structure, and frame drifting, kick and mutual shielding caused by adhesion are reduced, so that the stable separation and continuous identification capability of wire core instances is improved; by constructing a defect-wire core attribution edge and calculating an attribution weight, defect attribution judgment is expanded from single-point visual classification to a joint decision integrating relative distance, appearance similarity, wire core serial number consistency and structural consistency, so that explainable attribution selection can be completed for defects in a junction area under structural constraints; therefore, the consistency and traceability of defect attribution are improved.

The application discloses a digital person video updating method and device, equipment, medium and product, and relates to the technical field of video generation. The method comprises the following steps: acquiring current input content comprising current script text; determining the relevance of the original script text and the current script text and a video adjustment scheme based on the text correspondence relationship between the original script text and the current script text; determining the lower body movement animation sequence of the current script text based on the video adjustment scheme; and generating a target digital person full-body movement video based on the lower body movement animation sequence and the current input content. The application determines the video adjustment scheme according to the modification of the script text, then determines the lower body movement animation sequence, and finally determines the target digital person full-body movement video by using the lower body movement animation sequence and the current input content. The qualified lower body movement animation sequence in the initial digital person full-body movement video is reused as much as possible, the video updating efficiency is improved, and the resource consumption of the video updating work is reduced.

The invention discloses a two-dimensional antiferromagnetic material and a preparation method and application thereof, and the method comprises the following steps: adopting Mn and Te elementary substance powder, taking I2 as a transportation agent, and synthesizing a blocky MnTe precursor through a vacuum chemical vapor transport method under a vacuum sealing condition; the preparation method comprises the following steps: mixing a ground MnTe precursor with In elementary substance powder and fluxing agent KCl powder, carrying out fluxing reaction in a vertical confinement space constrained by a constant normal pressure and in an inert atmosphere, and inducing the crystal to epitaxially grow along the horizontal direction, thereby forming a two-dimensional Mn (InTe2) 2 crystal on a fluorine crystal mica substrate, and carrying out wet transfer to obtain the two-dimensional Mn (InTe2) 2 crystal on a SiO2 / Si substrate, according to the method, the two-dimensional Mn (InTe2) 2 crystal with the antiferromagnetic characteristic is prepared through a step-by-step precursor induction type confinement pressure melting epitaxial method, and the method is simple in process and high in repeatability; the two-dimensional Mn (InTe2) 2 crystal has the characteristics of good crystal quality, large transverse size, controllable layer number and the like, and can be applied to a high-density magnetic storage device.

The application provides a protein-metal ion binding site recognition method, device and equipment, and belongs to the field of protein detection. The method comprises the following steps: extracting features of known metal ion binding proteins to obtain a plurality of sample evolutionary information features; for an unknown protein sequence, candidate distant homologous metal ion binding proteins are determined through multiple sequence comparison and cosine similarity screening, and a training set is constructed; a composite framework of a bidirectional long short-term memory network and a full connection neural network is adopted, input features include evolutionary information features and physicochemical property features, and output is probability values of different metal ion binding sites; the composite framework is trained through the training set to obtain a site prediction model; and the prediction model is used to predict the binding sites of the unknown protein sequence. Stable and efficient prediction of metal ion binding sites is realized.

The embodiment of the invention provides a text translation method and device, computer equipment, a computer readable storage medium and a computer program product, and belongs to the technical field of machine translation. The method comprises the steps that retrieval is conducted in multiple knowledge bases with a to-be-translated text as a query condition, retrieval results returned by all the knowledge bases are obtained, and the retrieval results returned by all the knowledge bases comprise at least one candidate result; performing relevancy evaluation on all candidate results returned by each knowledge base to obtain a relevancy score of each candidate result; determining a constraint label of each candidate result based on the relevancy score of each candidate result; generating a prompt template based on each candidate result and the corresponding constraint label; and inputting the prompt template and the to-be-translated text into the large language model, and outputting a translated text of the to-be-translated text through the large language model. The text quality of the translated text can be improved.