9403results about How to "Improve practicality" patented technology

The invention discloses a pressure-controlled drainage gas production method and system for a coal-bed gas well. The pressure-controlled drainage gas production method comprises the steps that drainage is conducted through the first daily drainage amount, wherein the first daily drainage amount meets the eliminating demand for production interference objects in a coal bed; and a pressure-supplementing medium is injected while drainage is conducted, and the downhole flow pressure daily drop amount is maintained as a first differential pressure value so as to avoid retracting and closing of pores and cracks in the coal bed. According to the pressure-controlled drainage gas production method for the coal-bed gas well, the drainage speed at the drainage state can be conveniently determined, the eliminating demands for drilling and completion fluids, pulverized coal and slack coal in the coal bed can be met, and meanwhile, retracting and closing of the pores and the cracks in the coal bed can also be avoided; and compared with the prior art, the pressure-controlled drainage gas production method is simple in process, the production efficiency of the coal-bed gas well can be greatly improved, and quite high practical value and popularization value are achieved.

The invention discloses an on-site monitoring system for the performance of an elastic loose type anchorage system suitable for deep-sea buoys, and particularly relates to the field of deep-sea monitoring. The on-site monitoring system auxiliary comprises a central processing module, wherein the output end of the central processing module is separately connected with an information display module,an information storage module, an auxiliary recovery module and a driving module, and the input end of the central processing module is separately connected with a power supply module, a monitoring module, a correction module and a positioning module. According to the on-site monitoring system for the performance of the elastic loose type anchorage system suitable for the deep-sea buoys, the auxiliary recovery module is arranged, air bags are installed at a plurality of node positions on the anchorage system, a booster pump in a pressurization unit is used, outside air is conveyed into a floating ball unit through a pipeline unit, so that the retractable air bags are enabled to bulge upwards to float, the whole anchor system is directly floated in sections, people conveniently recycle theanchorage system greatly, the workload during the recycling process is reduced, and the practicability is high.

The utility model provides a mattress frame taking mechanism, and belongs to the technical field of machinery. The problem that an existing mechanism is large in design difficulty is solved. The mattress frame taking mechanism comprises a rack and a grabbing assembly used for grabbing a frame. The rack is provided with a longitudinal beam and a lifting assembly used for driving the longitudinal beam to ascend and descend. A supporting frame is arranged between the longitudinal beam and the material grabbing assembly, and the material grabbing assembly is arranged on the supporting frame. The supporting frame is hinged to the lower end of the longitudinal beam, a driving mechanism enabling the supporting frame to swing in a reciprocating mode is arranged on the longitudinal beam, and the swing angle of the supporting frame ranges from 0 degree to 90 degrees so that the frame can be switched from the vertical state to the horizontal state. The mattress frame taking mechanism is low in design difficulty.

The invention discloses an anaphora disambiguation method and system based on big language model enhanced text and structured query language generation. The method comprises the following steps: receiving a natural language question of a user, and analyzing and generating structured table field information through mode information; identifying and rewriting fuzzy time expression in the problem; extracting ambiguous entities, and replacing the ambiguous entities with database standard values through semantic matching and fuzzy matching; synthesizing the information to generate a structured query language statement and executing the structured query language statement; and if the execution result is null, automatically triggering an anaphora disambiguation process, performing error correction and re-matching on field values in the statement through a dual matching mechanism, and generating and executing a corrected query statement. According to the method, the problems of fuzzy anaphora, indefinite time expression, low matching accuracy, resource waste and the like in a traditional SQL system are effectively solved through a strategy of combining pre-processing and post-processing, and the accuracy, robustness and execution efficiency of complex query are remarkably improved.

The invention belongs to the technical field of off-grid inverter and battery management, and particularly relates to an off-grid inverter battery protection and charging control method and system based on impedance detection, and the method comprises the steps: collecting battery input parameters under two different load working conditions: no-load or light-load and on-load conditions; an Ohm law analytical algorithm is adopted, a corresponding relation model of the lithium battery remaining capacity SOC and the battery internal resistance is preset, the current actual internal resistance of the battery is obtained, the preset SOC-internal resistance corresponding relation model is input, and the current SOC value of the battery is obtained through reverse deduction; an inverter charging current adjusting threshold value is set in a grading mode, and a multi-dimensional risk early warning threshold value is set in a grading mode; and when the monitored numerical value exceeds a correspondingly set risk early warning threshold value, triggering a risk early warning signal of a corresponding grade and a matched disposal action, and carrying out full-process management and control of battery state real-time monitoring, charging current self-adaptive adjustment and risk early warning. Therefore, the problems of short service life, poor charging safety and the like of the battery in the prior art are solved.

The invention discloses a multi-modal contrast learning fault diagnosis method for a small sample scene, and the method comprises the following steps: carrying out the enhancement of a one-dimensional signal and two-dimensional image fused fault data set through physical simulation for the small sample scene with scarce industrial fault data, and constructing a positive and negative sample pair through a plurality of data enhancement strategies; based on heterogeneous multi-modal fault data, designing a double-flow encoder architecture of a time sequence branch and an image branch, extracting depth features and mapping the depth features to a unified feature space through a projection head; performing supervised contrast learning pre-training based on intra-modal and inter-modal dual contrast loss; supervision fine tuning is carried out based on multiple loss functions such as physical guidance, so that accurate diagnosis of equipment faults is realized in a small sample scene. According to the fault diagnosis method under the unbalanced sample and limited labeling conditions, the problem that a traditional data driving model depends on large-scale labeling samples is effectively relieved through supervised comparative learning and cross-modal information alignment.

The invention belongs to the technical field of copper rod machining, and particularly discloses a copper rod machining device and a machining process thereof.The copper rod machining device comprises a base, two sets of workpiece supporting frames, a lifting frame, two sets of cutting machines and a transverse embracing mechanism, and the two sets of workpiece supporting frames are symmetrically installed on the upper surfaces of the two sides of the base; the two sets of workpiece supporting frames are correspondingly connected with sliding blocks through bidirectional driving pieces correspondingly arranged in the two sets of workpiece supporting frames, assembling rods are fixedly installed on the outer sides of the two sets of sliding blocks correspondingly, and a first guide frame and a second guide frame are arranged between the two assembling rods with the opposite end faces correspondingly. According to the copper rod cutting and polishing integrated machining device, copper rod cutting and polishing integrated machining is achieved, the cutting position is accurately controlled, end face burrs are effectively removed, the equipment investment and the operation cost are reduced, the machining efficiency is improved, and the machining quality is improved. And the machining efficiency and the yield are improved, and the production requirements of small and medium-sized copper material machining enterprises are met.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention relates to the technical field of industrial data processing, in particular to an intelligent safety accident early warning method and system based on risk assessment, and the method comprises the steps: obtaining a mining operation event, extracting response situations before and after the operation event, checking the response situations with a reference response template, and judging a disturbance response according to the deviation degree; a ventilation network model is constructed, and when it is detected that a monitoring point is abnormal, management traceability is carried out along a traversal upstream path in combination with an air volume distribution proportion; predicting the propagation trajectory of the abnormal gas along the wind flow path and the time of reaching a downstream node based on the ventilation network model, and obtaining spatial correlation analysis; analyzing the disturbance response and the spatial correlation, calculating a coupling risk increment, and outputting a comprehensive risk value; judging the critical degree grade of the comprehensive risk value time series data; and determining a scheduling level according to the combination of the comprehensive risk value level and the critical degree level, when the critical index indicates to evolve to a dangerous state, improving the scheduling level in advance, and generating a differentiated resource scheduling suggestion in combination with the propagation trajectory.

The utility model discloses a permanent and temporary combined assembly type underground structure plate wall connecting node which comprises an assembly type underground diaphragm wall, a full-length steel plate is installed on the side wall of the assembly type underground diaphragm wall, and a prefabricated structure plate is hoisted on the full-length steel plate. The gap between the prefabricated structural slab and the fabricated underground diaphragm wall is filled with ultra-high-performance concrete, and a steel bar structure is arranged in the ultra-high-performance concrete. According to the utility model, the rigid connection between the two prefabricated parts is realized, the integrity of the structure is improved, and the safety and durability of the underground structure are fully ensured; an underground diaphragm wall which is usually used as a temporary structure is changed into a permanent structure, so that the construction period is shortened, and the investment is saved; the ultra-high performance concrete poured in the joint can greatly shorten the anchoring length of the steel bars, enlarge the arrangement distance of the steel bars, obviously reduce the using amount of the steel bars on site and the binding workload, is convenient to install and simple in process, obviously improves the construction efficiency, and has high popularization and application value.

The utility model relates to the technical field of quick-freezing devices, in particular to a tunnel-type quick-freezing device for quick-frozen food, which adopts a tunnel-type quick-freezing structure that a conveying belt is matched with a screen plate to realize reciprocating conveying of food, simplifies a conveying structure and reduces adhesion and damage of the food. Comprising a quick-freezing box, a driving roller, a driven roller, a conveying belt and a refrigerating system, the quick-freezing device further comprises a plurality of separating and pushing assemblies, a net plate and an ice receiving mechanism, the separating and pushing assemblies are evenly installed on the outer surface of the conveying belt, each separating and pushing assembly is composed of a plurality of evenly-arranged elastic rods, the separating and pushing assemblies are perpendicular to the conveying direction of the conveying belt, and the net plate is installed in a quick-freezing cavity of the quick-freezing box. The end of the screen extends out of the quick-freezing box through the inlet and outlet, the screen is located below the conveying belt, the ends of the multiple separating and pushing assemblies scrape the upper surface of the screen, and the ice receiving mechanism is installed in the quick-freezing cavity, located below the screen and used for collecting crushed ice.

The invention relates to the technical field of micro-grid load prediction, and discloses a multi-factor efficient fusion micro-grid load short-term prediction model optimization method. According to the method, micro-grid load historical data and multi-source factor data including information such as meteorology and electricity price are collected, and one-hot coding and normalization processing are carried out. Load data is decomposed into high-frequency and low-frequency components by using a variational mode decomposition technology, and prediction is carried out by respectively adopting a long-short-term memory network integrated with an attention mechanism and a linear regression model. And by calculating the difference between the source domain data and the target domain data in the model hidden layer feature space, the domain adaptive capacity of the model is enhanced, and accurate short-term prediction of the microgrid load is realized.

The invention relates to the technical field of underground water simulation, in particular to an underground water numerical simulation method coupled with vegetation ecology. The method realizes bidirectional coupling between groundwater and vegetation ecology through iteration, and specifically comprises the following steps: inverting vegetation coverage based on groundwater burial depth; inversion of actual evapotranspiration is carried out based on underground water burial depth and vegetation coverage; and finally, updating the net supply amount of the groundwater model based on evapotranspiration until convergence. According to the method, a statistical function relation is established to replace a complex physical model, and drainage and overflow cell water levels are corrected in iteration to ensure calculation stability.

The embodiment of the invention discloses a surface temperature inversion method and device based on remote sensing satellite data, and a medium, and relates to the technical field of remote sensing, and the method comprises the steps: receiving a heat island effect analysis demand triggered by a user, obtaining satellite remote sensing data of a target region and a corresponding metadata file based on the heat island effect analysis demand, and storing the satellite remote sensing data in the target region; processing the satellite remote sensing data to determine earth surface radiation parameters; the atmospheric features and the earth surface features of the target area are evaluated through the metadata file and a pre-obtained normalized vegetation index, a dynamic adjustment factor corresponding to the target area is determined, a preset single-window algorithm model is optimized through the dynamic adjustment factor, and an optimized single-window algorithm model is determined; and inputting the surface emissivity, the atmospheric transmittance, the brightness temperature value and a pre-acquired atmospheric average action temperature into an optimized single window algorithm model for calculation, and determining a surface temperature distribution diagram of the target area for heat island effect analysis.

The invention relates to a BERT and multi-module fusion-based track circuit fault label classification method and device and a medium, and the method comprises the steps: obtaining a to-be-classified track circuit fault text, and carrying out the cleaning and standardization processing of the to-be-classified track circuit fault text; performing word segmentation and vectorization processing on the track circuit fault text to generate a lexical symbol sequence conforming to BERT encoder input specifications; extracting a context semantic vector representation of the input lexical symbol sequence through a BERT encoder; performing feature extraction through a TextCNN module and a self-attention module which are parallel to obtain local features and weighted global features, and splicing the local features and the weighted global features to obtain a comprehensive feature vector; and synchronously generating a multi-label classification result of a fault phenomenon, a fault reason and a solution measure corresponding to the current fault text through a multi-label classification head based on the comprehensive feature vector. Compared with the prior art, the method has the advantages of high discrimination, high accuracy, high practicability and the like.

This application discloses a method and apparatus for constructing a multi-scale adaptive gating MambaPlus network, belonging to the field of artificial intelligence and machine learning technology. The method includes: initializing the network configuration and constructing the basic structure; preprocessing the input data to generate a standard dataset; mapping the input data to the hidden space via an input mapping layer, and extracting backbone features from the Mamba backbone; constructing at least two parallel scale branches in the hidden space to obtain a multi-scale feature set; inputting the backbone features and multi-scale features into an adaptive gating module, dynamically allocating weights and adaptively fusing them through a hierarchical gating mechanism to generate fused features; further enhancing the features through cross-scale attention and feedforward enhancement, and then superimposing the residuals to generate the final discriminative features; finally, completing category prediction and model training evaluation. This application, while retaining the advantages of Mamba's long-range dependency modeling, addresses the problems of insufficient utilization of multi-scale information, poor adaptive feature fusion, and low robustness in complex scenarios.

The invention is applicable to the technical field of road construction, and provides a digging and filling method for highway subgrade construction, which comprises the following steps: T1, carrying out construction operation according to a construction drawing, digging a pavement through a digging machine to form a groove, and piling dug soil on the ground on two sides of the groove; t2, the grooves are evenly filled with filling materials such as stone, coal cinder and gravel; t3, the road roller is controlled to slowly move along the foundation pit, a soil returning device at the front end of the road roller is used for backfilling soil on the two sides of the foundation pit, and a compaction steel wheel at the rear end of the road roller is used for compacting the backfilled groove; the soil returning device comprises a fixing assembly and a backfilling assembly arranged on the fixing assembly in a sliding mode. According to the method, the rotating shaft is controlled to rotate to drive the two sets of spiral conveying blades with opposite spiral directions to synchronously rotate, most of soil on the two sides of the groove is conveyed into the groove, the two sets of bulldozing plates are driven to push the residual coating into the groove through linkage of all the parts, and the backfilling efficiency is improved.

The invention discloses an ion trap mass spectrometry device and method capable of switching internal and external ion sources, and the device comprises an ion source cavity, the exterior of the ion source cavity is provided with a heating module, the side wall of the ion source cavity is provided with a sample introduction hole, and the sample introduction hole is internally provided with a chromatographic column I; the electron beam generation system is arranged at the front side position of the ion source cavity; the insulation connecting piece is communicated with the ion source cavity, and a lens I, a lens II and a lens III are sequentially arranged in the insulation connecting piece in the sample injection direction; a signal acquisition system; wherein a chromatographic column II is arranged on the ion trap. The two ionization modes inside and outside the trap are integrated, and different detection requirements can be flexibly met by switching the sample introduction path of the chromatographic column and regulating and controlling the voltage parameters of the lens I, the lens II and the lens III.

The utility model discloses a hydrated sludge dry-wet separation device based on municipal street sweeping soil, which comprises a conveying base structure, a water inlet pipe, a water outlet pipe, a water inlet pipe, a water outlet pipe and a water outlet pipe, the impurity filtering screen structure is correspondingly arranged at the top position of the horizontal filter cavity part; and the filter mud lifting structure is sequentially arranged and located at the horizontal filter cavity part and the lifting filter cavity part in a drivable mode, and the filter mud lifting structure is correspondingly located at the lower position of the impurity filtering screen structure. The technical problems that in the prior art, street sweeping soil with the too high water content is difficult to fully filter and dehydrate before the transferring process, the site environment pollution is likely to be caused, and the overall collecting and transporting efficiency of the street sweeping soil is not high are solved.

The utility model provides a multi-point oil supply lubricating device for a bearing of a phase modifier. The multi-point oil supply lubricating device comprises an oil storage and supply box body, an oil supply access pipe, three oil pumps, three groups of oil supply branch pipe assemblies and an adjusting and mounting protection frame, an oil supply access pipe is arranged at the top of the oil storage and supply tank body, three oil pumps are fixedly mounted on the oil storage and supply tank body, and the three oil pumps are connected with the three oil supply branch pipe assemblies correspondingly and used for extracting lubricating oil in the oil storage and supply tank body and independently conveying the lubricating oil to the corresponding oil supply branch pipe assemblies for fixed-point oil supply; one side of the top of the oil storage and supply tank body is provided with an adjusting and mounting protection frame capable of adjusting the positions of the three groups of oil supply branch pipe assemblies and protecting the three groups of oil supply branch pipe assemblies; and the adjusting and mounting protection frame comprises a mounting plate mounted on the oil storage and supply tank body and three protection pipe frames capable of adjusting the height and respectively penetrating through the three groups of oil supply branch pipe assemblies. Three paths of relatively independent oil supply structures can be formed, and a high-temperature protection effect can be achieved on the branch pipe part, close to the bearing part of the phase modifier, of the oil supply branch pipe assembly.

The invention discloses a satellite-ground enhanced signal conversion method and a satellite-ground enhanced signal conversion model based on PPP-RTK, which are used for solving the problems that conventional RTK in a ground-free network area fails, and satellite-based PPP-RTK depends on a special terminal and is slow in convergence. Generating an RTCM-OSR correction number by analyzing the SSR correction number, fusing the orbital clock correction, ionosphere and troposphere correction and performing weighted interpolation; the ambiguity is solved in combination with the observation value of the base station, dual-path verification and weighted fusion are carried out in combination with M-W and LAMBDA algorithms, and the wide lane ambiguity fixing reliability is improved; and when the ground-based signal is interrupted for more than 1 second, inheriting and maintaining Kalman filtering continuity by using the state vector and generating a switching identifier. The model integrates a signal processing module, a correction generation module, an ambiguity verification module and a switching control module, so that a conventional RTK terminal obtains centimeter-level positioning (level 2.3 cm and elevation 4.1 cm) without a public network, the interruption recovery is less than or equal to 1.5 seconds, and the scene upgrading cost of power inspection, power transmission monitoring, wind power plant monitoring and the like is reduced.

The invention discloses an English teaching writing error diagnosis method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the following steps: obtaining an English composition text, and obtaining initial writing data; performing grammatical structure analysis according to the initial writing data to obtain grammatical features; performing vocabulary error analysis according to the grammatical features to obtain vocabulary errors; performing syntactic and semantic consistency analysis according to the vocabulary errors to obtain syntactic and semantic errors; performing article logic analysis according to the syntactic and semantic errors to obtain article logic errors; and performing comprehensive diagnosis according to the article logic error to obtain a diagnosis result. According to the method, the conjunction matching degree and the semantic compatibility are combined, cross-sentence logic analysis is achieved, misjudgment of isolated sentences is avoided, a complete error set is formed, the comprehensiveness and accuracy of diagnosis are improved, and practicability and guidance are enhanced.

The invention discloses a large-model-driven urban railway newly-opened station flow prediction method, and relates to the technical field of urban railway traffic operation management. The technical problems of low prediction precision, poor interpretability of a traditional model and insufficient reasoning flexibility in a complex urban scene caused by lack of historical passenger flow data of a newly opened station of an urban rail are solved. The method comprises the following steps: firstly, collecting pre-processed passenger flow related multi-dimensional data, and then constructing a multi-dimensional reference system to retrieve a target station similar reference or extract a macroscopic index reference; judging a scene category through a rule engine, calling a corresponding template, and filling information to generate a structured cue word; inputting the cue word into the large language model, and outputting a content prediction value and a result of a natural language reasoning chain according to the reasoning thinking chain template; and finally, checking the result, and completing optimization of the method based on feedback. The method has a good application prospect in the technical field of urban rail transit operation management.

The invention discloses a multi-layer semantic perception, distillation and semi-supervised cooperative training target detection method, and the method specifically comprises the following steps: constructing a data set: extracting a first part of images from image data, marking the first part of images to construct a supervised target detection data set, and taking the remaining images as an unmarked image data set, the data volume of the unlabeled image data set is greater than that of the supervised target detection data set; teacher model optimization: performing supervision training on the teacher model on the supervised target detection data set; constructing a teacher model, and executing self-distillation training on the teacher model; pseudo labels are generated for the unlabeled images through a teacher model, and adaptive screening is carried out based on confidence distribution; mapping a pseudo label to a strong enhanced sample through enhanced geometric transformation, carrying out semi-supervised training by using the strong enhanced sample and the pseudo label, and introducing a feature layer distillation constraint at the same time; optimizing a student model; and outputting the target detection model obtained through training.

The invention relates to the technical field of facility agriculture intelligent monitoring, and discloses a crop disease and insect pest internet-of-things image recognition method and system, and the method comprises the steps: carrying out the data collection and preprocessing, and building a crop growth file; performing illumination characteristic analysis and adaptive enhancement on the original image; performing quality evaluation on the image subjected to quality optimization, calculating a comprehensive quality score and performing screening; a crop growth stage is identified, and multi-scale features are extracted; constructing an agricultural pest knowledge base and estimating a pest prior probability, projecting the multi-scale feature vector to a discrimination subspace and performing weighted fusion according to the prior probability; carrying out double weighting on the environment adaptive fusion feature vector, and carrying out pest and disease identification through a hierarchical classification strategy; performing multi-source evidence fusion to obtain a final recognition result, and generating prevention and treatment suggestions in combination with an agricultural pest knowledge base; the accuracy and environmental adaptability of pest and disease identification are improved.

The invention discloses a confocal laser microscope detection method for micro-plastic surface biofilm components and biomass, and belongs to the field of micro-plastic pollution monitoring. The method comprises the following steps: carrying out stratified sampling and polymer component identification on micro-plastic in an environmental water body; the method comprises the following steps: marking algae, blue-green algae, bacteria and extracellular polymeric substances in a biological membrane through specific fluorescent staining, carrying out high-resolution three-dimensional imaging by utilizing a confocal laser microscope, and realizing batch quantitative analysis of each component of the biological membrane by adopting ImageJ software. The technical problems that an existing detection method is insufficient in parameter dimension, evaluation result deviation is caused only based on partial component quantification, and the influence of the overall structure of the biological membrane on the micro-plastic migration behavior cannot be truly reflected are solved. According to the method, the biomass and spatial distribution of each component of the biological membrane can be comprehensively and accurately quantified, the accuracy of analyzing the vertical migration mechanism of the micro-plastic is improved, and multi-dimensional data support is provided for ecological risk assessment.

The utility model relates to the technical field of automobile decorating part production, and discloses an automobile decorating part spraying line electrostatic dust collection device which comprises a supporting frame, a spraying transmission line is installed above the supporting frame, a supporting cover is fixedly connected to the upper surface of the supporting frame, and a dust collection assembly is installed on one side of the interior of the supporting cover. A filtering assembly is mounted on the upper surface of the supporting cover; the dust removal assembly comprises a supporting plate and a first ion wind bar, the two ends of the first ion wind bar are fixedly connected to the inner wall of the supporting plate, a hydraulic rod is fixedly connected to the upper surface of the supporting cover, the output end of the hydraulic rod is fixedly connected to the upper surface of the supporting plate, and a first limiting rod is fixedly connected to one side of the outer wall of the supporting plate. According to the utility model, the decorating parts are conveyed to the lower part of the supporting cover through the spraying conveying line, and the fan I blows clean air flow for preliminary dust removal; the hydraulic rod drives the supporting plate and the first ion wind bar to ascend and descend, the angle of the second ion wind bar is adjusted, efficient dust removal is achieved, and the practicability of the device is improved.

The invention discloses a micropatch bug matching quantification method, system and device based on an auto-encoder and a medium, and relates to the technical field of intelligent code analysis, and the method comprises the following steps: obtaining multi-source semantic data, carrying out analysis and unified representation processing, generating unified semantic representation with consistent dimensions, and carrying out multi-source data analysis; the method comprises the following steps: generating a low-dimensional semantic embedding vector through an unsupervised feature learning and compression process of an auto-encoder model, calculating a matching distance between a patch and a vulnerability by adopting a distance metric function, quantifying a difference degree between the patch and the vulnerability in a semantic space, and constructing a multi-dimensional matching scoring index according to the matching distance, and generating a comprehensive matching score through a weighted fusion mechanism, and sorting and screening matching results of the patches and the vulnerabilities according to the comprehensive matching score. According to the method, a three-dimensional matching evaluation system from depth semantics to surface logic is constructed, and the accuracy and reliability of micropatch and vulnerability matching are remarkably improved.

The utility model discloses an anti-tilt scaffold which comprises a steel frame and two crossed supporting rods arranged on the two sides of the steel frame, the outer sides of the four corners are respectively provided with a pair of fixing pieces, an inner rod is arranged between the fixing pieces, a plurality of limiting holes are formed in the inner rod, a sleeve rod is arranged on the outer side of the inner rod, and the sleeve rod is connected with the steel frame. An adjusting knob is arranged on the sleeve rod, through holes are formed in the two sides of the lower portion of the sleeve rod respectively, an inserting rod is arranged at the bottom of the sleeve rod, a spring is arranged on the outer side of the inserting rod, a base is arranged at the bottom of the inserting rod, rotating pieces are arranged on the two sides of the base respectively, and a bottom plate is arranged below the rotating pieces. According to the scaffold, the two sides of the steel frame can be supported, the steel frame is prevented from inclining towards the two sides, the safety risk of workers is reduced, and through friction between the inserting rods and the sleeve rods and the buffering effect of the springs, shaking of the scaffold can be reduced, and the scaffold is stabilized.

The invention provides an intelligent transportation packaging box for composite materials, and relates to the technical field of packaging boxes, the intelligent transportation packaging box comprises an upper box, a lower box is arranged at the bottom end of the upper box, a limiting boss is fixedly mounted at the top end of the upper box, a limiting groove is formed in the bottom end of the lower box, and reinforcing ribs A and reinforcing ribs B are fixedly mounted on the surfaces of the upper box and the lower box; locking hasps are arranged at the positions, close to the centers, of the surfaces of the upper box and the lower box, and a handle is fixedly installed at the top end of the upper box. According to the packaging box, the upper box and the lower box can be attached more tightly through the sealing strip and the boss body, the sealing performance is improved, and the data acquisition system can monitor and record the transportation state of the packaging box in real time, record the transportation track and the transportation speed of the packaging box and record the opening time and the opening frequency of the packaging box; the internal temperature change of the packaging box and the vibration condition of the packaging box are recorded, practicability is high, and advancement is remarkable.