3435results about How to "Prevent deviation" patented technology

The invention relates to the technical field of artificial intelligence, and discloses a model fine tuning method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a knowledge document of a target domain; extracting question and answer pairs in the knowledge document to obtain a question and answer pair set in the knowledge document; determining a quality score of each question and answer pair according to the text information of each question and answer pair in the question and answer pair set; according to the quality score of each question and answer pair, screening a target question and answer pair from the question and answer pair set, and taking the target question and answer pair as a fine tuning training sample of the to-be-fine-tuned model; and based on the fine tuning training sample, performing fine tuning optimization on the to-be-fine-tuned model to obtain a target model. According to the method provided by the scheme, the domain classification is performed on the knowledge document, and the target question and answer pair which can be used as the fine tuning training sample is screened according to the quality score of the question and answer pair, so that the quality of the fine tuning training sample is improved, deviation of the model in the fine tuning process is avoided, and the fine tuning precision of the model is improved.

The invention relates to the technical field of image processing, in particular to a constructional engineering concrete prefabricated part quality detection method, which comprises the following steps: acquiring a surface image and screening to-be-filtered pixel points; respectively acquiring a reference block and a neighborhood block of the pixel point to be filtered; respectively obtaining a texture extension weight and a texture interval weight of the neighborhood block based on the position distance distribution condition between the target points in the neighborhood block and the texture extension features of the target points in the neighborhood block in a single direction; respectively determining a texture interval weight factor and a texture extension weight factor based on the distribution features between the texture feature points in the neighborhood blocks and the gray scale consistency features between the texture feature points in the texture direction, performing weighting by combining the texture interval weight and the texture extension weight to obtain an enhanced image, training a detection model, and obtaining a detection result; and determining the quality detection result of the concrete prefabricated member. By adjusting the filtering weights of different neighborhood blocks in the image filtering process, the filtering effect is improved, and a more accurate quality detection result is obtained.

The invention relates to the technical field of biological information, in particular to a method and system for online integration of multi-source single cell data. The method comprises the following steps: acquiring multi-source single cell transcriptome data; performing data quality evaluation based on gene expression quantity, mitochondrial gene proportion and cell data depth on the single cell transcriptome data to obtain initial quality control data; setting standardized filtering parameters according to the initial quality control data, and performing quality control parameter filtering on the single cell transcriptome data to obtain filtered cell data; performing gene expression characteristic analysis on the filtered cell data to generate high-variation gene expression characteristic data; and performing gene expression spatio-temporal distribution statistics according to the high-variation gene expression feature data to generate gene expression statistical feature data. According to the method, through refined quality control and batch effect correction, data from different sources can be seamlessly integrated on the premise of ensuring data quality, so that noise caused by different batches and technical platforms is eliminated.

The invention relates to the technical field of fault detection for a wireless communication network, and discloses a fault detection method for the wireless communication network. By collecting data of base station signal strength, network delay, data packet loss rate and user equipment signal quality, the problem of insufficient fault detection caused by a single index is solved. Through multi-dimensional data acquisition, the system can comprehensively evaluate network performance, the fault detection accuracy is improved, and different fault types can be effectively identified especially in a complex fault mode. By storing the data according to the time sequence, the problem of time sequence chaos is avoided, and accurate detection of time-varying faults is ensured. The comprehensive data vector generated by each time of sampling comprises a plurality of network performance indexes, so that the fault detection and positioning capability is improved. Abnormal values are eliminated through data preprocessing, the data quality is ensured, an accurate basis is provided for subsequent analysis, and the reliability of a detection result is ensured.

The invention discloses an AI model service platform data set labeling method and system, and relates to the technical field of data set labeling, a to-be-labeled data set is split according to a data type, and whether an existing labeling model capable of respectively processing the currently split to-be-labeled data set exists in an AI model service platform is identified; evaluating the annotation performance of the annotation model based on the evaluation index of the annotation model, and then updating the annotation model based on data enhancement; labeling the split to-be-labeled data set by using the updated labeling model to generate a first labeling result; performing secondary annotation on the first annotation result based on multi-model joint annotation to generate a second annotation result; and screening and identifying an unqualified annotation data set in the second annotation result through the confidence interval so as to trigger manual annotation. An efficient, low-cost, high-quality, flexible and extensible data set labeling process is realized, so that the labeling capability and the service quality of an AI model service platform are remarkably improved.

The invention relates to the technical field of angle steel tower welding, in particular to an angle steel tower base automatic welding system and method.The angle steel tower base automatic welding system comprises a base and a storage table and further comprises a controller, a welding mechanism, a splicing mechanism and a limiting mechanism; the splicing mechanism comprises a driving assembly, four pushing assemblies and eight electric clamping jaws, the limiting mechanism comprises a tightening block, an abutting assembly and a lifting assembly, an L-shaped rod is fixedly arranged at the top of the workbench, and the tightening block is fixedly arranged at the bottom of the lifting assembly. Through multi-directional abutting limiting, the shapes and the relative positions of the bottom plate and the four rib plates can be effectively controlled, internal stress generated by heating in the welding process of the four rib plates and the bottom plate is balanced, welding deformation is prevented, and then the welding effect is improved.

The invention relates to the technical field of power cable processing, in particular to power cable outer sheath stripping and cutting equipment and a stripping and cutting method.The power cable outer sheath stripping and cutting equipment comprises a fixing ring arranged on a cable in a sleeving mode and a clamping mechanism connected with the fixing ring, and the clamping mechanism comprises a clamping plate located in the fixing ring and used for clamping and fixing the cable; a rotating ring is arranged outside the fixed ring, and a cutting device used for cutting the cable and an adjusting assembly which is installed in the rotating ring and used for adjusting the cutting device to be close to or away from the cable are arranged in the rotating ring. By means of the clamping mechanism, the adjusting mechanism and the rotating mechanism, cables of different body types can be clamped and fixed, the girdling position can be adjusted after clamping and fixing, then the cables are girdled, the clamping state of the cables can be kept all the time in the multiple girdling process, and the girdling efficiency is improved. Therefore, the cable can be prevented from deviating and shaking during stripping and cutting, and the stripping and cutting accuracy is prevented from being affected.

The invention relates to the technical field of resource optimization aggregation regulation and control, and particularly discloses an optimization aggregation regulation and control method and system capable of adjusting load resources, and the method comprises the steps: analyzing the environment state of a to-be-adjusted region, determining a resource aggregation regulation and control deviation factor, analyzing the power grid state and power grid weakness characteristics of the to-be-adjusted region, and determining a resource aggregation regulation and control deviation factor; and obtaining a resource aggregation regulation response factor, determining a resource aggregation regulation response priority category and a response duration category of the to-be-regulated region, obtaining regulation scale data of the to-be-regulated region, and judging whether load peak shifting and load power correction need to be performed on the to-be-regulated region or not. The problems that a traditional centralized regulation and control mode is difficult to adapt to the flexibility and complexity of distributed loads, and an existing regulation and control method is insufficient in consideration of load characteristics and influence characteristics and cannot achieve accurate regulation are solved. The utilization rate of power generation equipment is increased, and efficient utilization of energy is promoted. And new energy power generation fluctuation can be smoothed, and the access proportion of renewable energy sources can be improved.

The invention discloses an intelligent ventilation system and method for a cage for livestock breeding, and belongs to the technical field of livestock breeding, and the system comprises an acquisition processing module, an environment modeling module, a change prediction module, an optimization decision module, a strategy simulation module, a storage safety module, an equipment control module, a monitoring feedback module, a user interaction module and an emergency response module. According to the invention, environmental conditions can be managed more actively, environmental parameters are prevented from deviating from an ideal state due to a hysteresis effect, the stress influence on animals is reduced, specific requirements of different livestock animals are met, the air quality and animal health level in an animal house are improved, the decision precision of the system is improved, and the economic benefit is increased. It is ensured that the cage environment is always kept in the most ideal state, improvement of air quality in a short term and minimization of long-term energy consumption are balanced, and the overall efficiency of the system is effectively optimized.

The invention relates to the technical field of temperature control, and particularly discloses a micro-reactor real-time control system for fine chemical engineering, and the system comprises an acquisition module which calculates a standard temperature according to the temperature at a monitoring point, and periodically obtains the standard temperature in a preset acquisition period; the analysis module is used for calculating a temperature difference value, obtaining a maximum temperature difference value and obtaining a temperature change value; coordinate points are generated and fitted to obtain a fitted curve, and the total number of reference points on the fitted curve is counted; and the adjusting module is used for calculating the judgment value, determining whether to adjust the power of the temperature adjusting module or not according to the judgment value, and adjusting the power of the temperature adjusting module according to the fitting curve. According to the invention, the environment temperature in the microreactor can be kept stable, and the complexity of controlling the temperature in the pipeline is reduced.

The invention relates to the technical field of welding devices, and discloses a welding device and method for metal steel structure machining, the welding device comprises a supporting table, a supporting frame is fixedly connected to the top of the supporting table, and a welding machine is arranged at the bottom of the supporting frame; the welding device comprises a supporting table, a clamping device is arranged at the top of the supporting table, a protective device is arranged at the top of the clamping device, and a collecting device is arranged at the bottom of the supporting table. And meanwhile, a third spring moves to drive a clamping plate to move, so that secondary clamping can be conducted on the side face of the welding part, the clamping effect is further enhanced, the stability of the welding part in the welding process is improved, and deviation of the welding position is avoided.

The invention relates to the technical field of cable monitoring, and particularly discloses a power transmission equipment fault monitoring system based on an optical fiber sensor, and the system comprises a data collection module which comprises a cable data collection unit and an optical fiber data collection unit, and the cable data collection unit is used for collecting data information of a power transmission cable; the temperature correction and evaluation module is combined with data acquired by the data acquisition module to correct the temperature data of the cable monitored by the temperature measurement optical fiber, and the reliability and accuracy of the temperature monitoring data can be improved based on diversified data as a support, so that the accuracy of preliminary judgment of the running state of the cable is improved, and the working efficiency of the cable is improved. And then the real-time operation state risk coefficient of the power transmission cable is calculated through the data processing module in combination with the data of the temperature correction module and the data monitored by the operation state monitoring module, and the operation state of the transmission cable can be further analyzed, so that the accuracy and reliability of a cable fault monitoring result are improved.

The utility model discloses a rail type sawing workbench which comprises a rectangular platen, a rail plate is arranged on the upper portion of the rectangular platen, one end of the rail plate is rotationally connected with the rectangular platen through a rotating shaft connecting piece, the rail plate and the rectangular platen are spaced, and a slidable hand saw is arranged on the upper portion of the rail plate. The handsaw is in sliding fit with the track plate through a clamping groove in the bottom. A ruler is arranged at the upper part of the rectangular bedplate close to the length side, is close to the rotating shaft connecting piece and is positioned at the lower part of the track plate. The hand saw is externally connected with a dust collector. And foot stools are arranged at the lower part of the rectangular bedplate. And a plate fixing clamp is arranged at the upper part of the rectangular bedplate close to one side edge and is on the same side as the ruler. According to the rail type sawing workbench, when the hand saw is pushed for sawing, the hand saw is clamped in the clamping groove, so that the hand saw linearly walks along the rail plate, and the phenomenon of deviation of the hand saw in the sawing process is avoided. The device is simple in operation, labor-saving and worry-saving, improves the working efficiency and the saw cutting quality, and has very high practical value and popularization value.

The invention discloses a scale-effect-free mine dynamic disaster fine monitoring and dynamic early warning method, which comprises the following steps of: arranging a multi-point micro-seismic monitoring network on a coal mine working face, and continuously acquiring and preprocessing micro-seismic signals; an innovative analysis positioning algorithm is adopted to accurately analyze the accurate position and time information of the micro-seismic source; in combination with signal features and positioning data, a four-dimensional joint kernel density estimation and confidence interval theory is innovatively applied, a rock burst risk assessment model is constructed, and a danger level classification standard is determined; and the system calculates risk indexes in real time and dynamically issues early warning. According to the invention, the precision, timeliness and reliability of monitoring and early warning of the dynamic disasters in the mining area are obviously improved, and key technical support is provided for safe production of a coal mine.

The invention relates to voice processing, and provides a voice conversion method and device, equipment and a storage medium, and the method comprises the steps: carrying out the data enhancement of a to-be-converted voice, and obtaining a sample voice; inputting the sample voice into a rhythm encoder for processing to obtain phoneme-level rhythm features and spectrum features of the sample voice; inputting the sample voice into a content encoder for processing to obtain content features of the sample voice; inputting the rhythm features and the content features into an attention-based alignment model for alignment processing to obtain aligned rhythm features; inputting the aligned rhythm features, content features, frequency spectrum features and speaker vectors with set timbres into a decoder for synthesis to obtain synthesized voice; and intercepting part of content corresponding to the voice to be converted from the synthesized voice as target voice. The invention also relates to a block chain, and aims to improve the precision and naturalness of voice conversion.

The invention belongs to the technical field of parametric modeling, and discloses a dynamic parametric modeling method for a tunnel operation area. Comprising the steps of collecting actual measurement data of a tunnel operation area; based on the collected actual measurement data, an initial model of the tunnel operation area is established; dividing the initial model of the tunnel operation area into a plurality of model areas, and constructing an operation area undirected graph by taking the model areas as nodes; colors are distributed to nodes in the operation area undirected graph; for each model area, determining a corresponding parameter group according to the allocated color, and updating based on the initial model of the tunnel operation area and the parameter group corresponding to each model area to obtain an overall parameterized model; the dynamic parametric modeling result of the whole tunnel operation area provides a scientific decision basis for design optimization, construction scheme formulation, risk assessment, operation management and the like of tunnel engineering.

The invention relates to the technical field of electrical variable measurement, in particular to a ripple test method and system for a high-voltage power supply. The method comprises the following steps: based on detection data, acquiring a ripple wave over-expectation coefficient of a high-voltage power supply and a decomposed ripple wave waveform curve; acquiring a stability coefficient of an environment where the high-voltage power supply is located based on the monitoring data of the load equipment; obtaining a ripple measurement compensation coefficient of the high-voltage power supply based on the ripple over-expectation coefficient of the high-voltage power supply and the stability coefficient of the environment where the high-voltage power supply is located; on the basis of the compensation coefficient and the detection data, a ripple signal curve for compensation identification is obtained; obtaining a high-voltage power supply ripple waveform curve based on the decomposed ripple waveform curve and the compensated and identified ripple signal curve; and based on the ripple waveform curve of the high-voltage power supply, measuring the ripple of the high-voltage power supply to obtain a measurement result. According to the invention, the measurement precision of an existing test method in the process of measuring the ripples of the high-voltage power supply is improved.

The invention relates to the technical field of unmanned aerial vehicle path control, and particularly discloses an unmanned aerial vehicle power grid inspection operation path planning method based on Beidou navigation, and the method comprises the steps: obtaining the historical inspection contribution value of each region of a power grid, and combining the actual operation state contribution value of each region of the power grid; determining an unmanned aerial vehicle power grid inspection operation priority value of each region of the power grid, determining an unmanned aerial vehicle power grid inspection operation initial path, determining an unmanned aerial vehicle power grid inspection operation height of each region of the power grid, and obtaining obstacle position coordinates of a connection path of each region of the power grid based on Beidou navigation; according to the method, the problems that a traditional path planning method cannot meet efficient and intelligent routing inspection requirements and is insufficient in dynamic optimization capability in combination with real-time data are solved, the routing inspection effectiveness is improved, and the routing inspection efficiency is improved. The flight risk of the unmanned aerial vehicle is reduced and the inspection task is smoothly carried out.

The invention relates to the technical field of winding devices, and particularly discloses a film blowing machine material receiving device for express bag production and a process thereof, the film blowing machine material receiving device for express bag production comprises a supporting frame, two winding rollers arranged at the two ends of the supporting frame, a cutting knife and an open-loop track coaxially arranged with the winding rollers, and protrusions are arranged at the head end and the tail end of the open-loop track; a rolling shaft capable of rotating and walking along the open-loop track is arranged on the open-loop track, when the rolling shaft moves from one end of the open-loop track to the other end of the open-loop track, a cut film is attached to the rolling shaft to be wound, the rolling shaft presses the film on the winding roller when entering the open-loop track from the protrusion, and when the rolling shaft enters the protrusion from the open-loop track, the film is wound on the winding roller. The rolling shaft is separated from the film; when a thin film is cut off, the cut-off end of the thin film can be pressed and wound on the winding drum, and when the position of the winding drum completing winding and the position of the winding drum to be wound are exchanged, the diameter of the winding roller completing winding is reduced so that a thin film roll can be conveniently detached.

The invention relates to the technical field of asset assessment, in particular to an asset assessment method and system based on multi-dimensional feature fusion. The method comprises the following steps: obtaining basic operation data of a lease item, and carrying out operation feature extraction according to the basic operation data of the lease item to obtain first asset evaluation feature data; obtaining user business data and user financial data, and performing asset assessment feature extraction according to the user business data and the user financial data to obtain second asset assessment feature data; performing multi-dimensional fusion according to the first asset assessment feature data and the second asset assessment feature data to obtain asset assessment feature data; and performing asset assessment according to the asset assessment feature data to obtain asset assessment data. According to the method, data of different sources and dimensions are comprehensively collected and fused, so that more accurate, dynamic and meticulous asset assessment can be provided.

The invention belongs to the technical field of underground engineering construction, and particularly relates to a pipe jacking machine measuring and jacking deviation correcting device which comprises a mounting bracket, a mounting frame and jacking sliding columns which are arranged at the four corners in the mounting frame in a sliding mode, and one end of each jacking sliding column is fixedly connected with a jacking adjusting assembly and a bracket adjusting assembly arranged in an inner cavity of the mounting bracket. A deviation rectifying assembly is arranged on one side of an inner cavity of the mounting bracket, a storage groove is formed in one side of the mounting frame, the jacking adjusting assembly is slidably connected with the storage groove, and a pushing frame is mounted at one end of a jacking sliding column. The problems that due to the fact that geological conditions are complex and construction environments are variable, if a machine head is not finely adjusted in the jacking process of the pipe jacking machine, deviation of pipe fittings jacked into a soft soil stratum can be easily caused, and the overall quality of a project is affected are solved.

The invention relates to the technical field of data processing, in particular to a subway shield tunnel segment external pressure control system based on automatic monitoring, and the system comprises a setting module which is used for setting a pressure sensor, a position sensor and a strain sensor on a segment by precisely recognizing the structure of the segment; the data acquisition module acquires sensor data in real time based on a preset frequency; the pressure analysis module draws a pressure change diagram and judges that the pressure of the duct piece is abnormal, or adjusts the preset frequency; the deformation analysis module receives the deformation analysis instruction, determines the deformation degree of the duct piece based on a radial deformation degree determined based on a plurality of real-time positions and an annular strain degree determined based on a plurality of real-time resistance values, and adjusts a water pressure threshold value according to a comparison result of the deformation degree and a preset deformation degree to generate a drainage instruction; the drainage module receives a drainage instruction and determines the opening number and distribution of water diversion ports based on adjustment of a preset water pressure threshold value and the segment deformation degree. The safety of the metro shield tunnel segment structure is guaranteed.

The invention relates to the technical field of metal casting manufacturing, and discloses a plastic fixing device for high-quality metal casting manufacturing, which comprises an operation table, vertical frames are fixedly mounted on two sides of the top of the operation table, a mounting plate is fixedly connected to the tops of the vertical frames, and an upper mold is fixedly connected to the bottom of the mounting plate. A lower mold is arranged below the upper mold, limiting rods are arranged on the periphery of the upper mold and the periphery of the lower mold, the tops of the limiting rods are fixedly connected with the mounting plate, and the inner surfaces of the limiting rods are attached to the surfaces of the upper mold and the lower mold correspondingly. The edges of the two molds are kept flush, so that the interiors of the molds are kept flush, the precision in the metal casting manufacturing process is improved, the lower mold is integrally turned over by 180 degrees, the finished casting cast in the lower mold is thrown out of the lower mold and falls on an operation table, and direct demolding of the metal casting is facilitated.

The invention relates to the technical field of data processing, in particular to an intelligent feature exploration system and method for structured data, and the system comprises a preprocessing module which obtains a structured data set; the feature acquisition module analyzes the structured data set and acquires structural features and type features; the algorithm determination module calculates an actual evaluation value based on the data structure features and the data type features, compares the actual evaluation value with a preset evaluation value, and determines an execution algorithm unit; the generation module generates an initial execution workflow according to a preset operation rule; the distribution module divides an initial execution workflow, calculates task complexity, distributes a plurality of processing nodes, and monitors a real-time load condition to perform calculation power distribution; the monitoring module executes a computing power distribution result, collects operation data and calculates an actual health score; and the adjustment module compares the actual health score with a preset health score, and adjusts the initial execution workflow to obtain a target execution workflow. According to the invention, the efficiency of the data analysis processing process is improved.

The invention discloses a method for rapidly detecting the content of a residual flocculating agent in washing machine-made sand, which comprises the following steps of: screening out particles with the particle size of more than 4.75 mm from machine-made sand to be detected, respectively testing the critical water contents of degraded and untreated machine-made sand samples, and determining the mass concentration range of the flocculating agent on the basis of the difference value of the critical water contents of the two kinds of machine-made sand. Compared with tests through neat paste, mortar and concrete systems, deviation possibly caused by introduction of other materials is avoided, and the method is more convenient, faster and more accurate. A'critical water absorption 'test method is provided according to the stability of the stacking state of sand, a transparent circular truncated cone test mold with scales is designed, the filling height and the tamping method of each layer of sample are accurately stipulated, and the test normalization and the test result repeatability of different time, different places and different operators are improved.

The invention discloses a multi-view fusion emotion recognition method under a sleep deprivation condition, and the method comprises the steps: constructing and training a recognition model which comprises a Transform network based on multi-view fusion in an offline stage, carrying out the multi-view fusion of an input signal through employing the trained recognition model in an online stage, and achieving the real-time detection. According to the method, the accuracy of emotion recognition under a single mode (EEG signal) is improved by introducing the multi-view fusion Transform model, the dependence on multi-mode data is reduced, and the influence of the sleep state on the emotion is evaluated more accurately by improving the experimental design and eliminating the interference of material fixation on the result.

The utility model provides an anti-deviation device for drilling, which relates to the technical field of drilling, and comprises a bottom plate and an adjusting plate, an anti-deviation mechanism is arranged in the adjusting plate, and the anti-deviation mechanism comprises a rotary table rotatably sleeved on the inner wall of the adjusting plate and a worm gear tooth assembly fixedly connected on the outer surface of the rotary table. According to the anti-deviation drilling device, anti-deviation work can be directly conducted on drill rod bodies of different sizes through the anti-deviation mechanism, the anti-deviation effect of the device is optimized, more stable drilling work can be conducted, the drill rod bodies are inserted into the rotary table, then the servo motor is started to work, when the servo motor is started, the worm can be driven to rotate, and the drill rod bodies are driven to rotate. When the worm rotates, the rotary table can rotate through the worm gear tooth assembly, when the rotary table rotates, the clamping rods can rotate through the sleeve blocks, and then the drill rod can be clamped in the middle through the movement of the three clamping rods, so that the drill rod cannot deviate; and meanwhile, the balls can achieve the effect of assisting in preventing the drill rod body from deviating.

The invention belongs to the technical field of data processing, and discloses a multi-source data information deep mining and fusion processing method oriented to performance maintenance, which comprises the following steps of: acquiring multi-source heterogeneous data representing the running state and the performance state of terminal equipment by using different data acquisition equipment, and performing data fusion processing on the multi-source heterogeneous data, and carrying out deep mining of an internal relationship on the fused data, determining key elements influencing the performance state of the terminal equipment, carrying out comprehensive diagnosis on the running state of the terminal equipment, and judging the change trend of the running state of the terminal equipment. According to the technical scheme, reliable evaluation can be carried out on equipment performance maintenance, so that the efficiency and the accuracy of equipment management are improved.

The invention discloses an adjustable cable preparation wire drawing forming machine, and relates to the technical field of cable wire drawing forming machines, the adjustable cable preparation wire drawing forming machine comprises a shell, a fixing block is rotatably connected in the shell, a round rod is fixedly connected to the outer side of the fixing block, a spur gear is fixedly connected to the outer side of the round rod, and a through hole is formed in the fixing block; an arc block is fixedly connected to the inner wall of the through hole, a positioning assembly is arranged in the middle of the interior of the fixing block, a rotating wheel is slidably connected to the through hole, a fixing plate is rotatably connected to the outer side of the rotating wheel, an elastic plate is fixedly connected to the outer side of the fixing plate, and a guide assembly is fixedly connected to the end, away from the rotating wheel, of the fixing plate. According to the adjustable wiredrawing forming machine for cable preparation, the guide assembly makes contact with the outer side of a copper wire, the copper wire can advance in the preset direction in the wiredrawing process, deviation or bending cannot occur, a stable path is provided for wiredrawing of the copper wire, and the copper wire is prevented from deviating from the correct path in the wiredrawing process.

The invention belongs to the field of network security, and discloses a network space vulnerability clustering method based on feature value similarity calculation. The method comprises the following steps: (10) vulnerability data acquisition and standardized storage; (20) designing a tagged vulnerability description method; (30) specific network space vulnerability calculation; (40) network security vulnerability data classification, tagging and feature extraction; (50) clustering network security vulnerabilities based on features and a clustering algorithm; and (60) carrying out visual display on the clustered network space vulnerability categories. The method has the beneficial effects that compared with a traditional method, the method provided by the invention does not need to construct a complex network security knowledge graph for huge vulnerability data, and potential association and common points among vulnerabilities can be revealed by systematically analyzing and understanding characteristics and influences of various vulnerabilities aiming at standardized and tagged vulnerability data. By means of the vulnerability clustering method, analysis can be more rapidly and accurately carried out on categories from a large amount of vulnerability data, and therefore the security risk faced by the system is evaluated.