58results about How to "Realize traceability" patented technology

The invention provides a new energy construction small target full-link safety management and control method based on cross-view feature collaboration and a dynamic anti-interference closed loop, and relates to the field of new energy construction safety management, and the method comprises the steps: S1, deploying a plurality of heterogeneous sensing devices, and collecting the multi-source data of a small target in a construction region; s2, unifying small target features of different visual angles to a global coordinate system of a construction area through coordinate mapping and feature decomposition fusion according to the multi-source data collected in the step S1, and outputting an aligned small target feature map; and S3, adaptively performing multi-scale feature enhancement and lightweight processing according to the aligned small target feature map output in the step S2 and the scale and texture characteristics of the small target, and outputting an initial recognition result of the small target. Small construction targets such as bolts and buckles can be accurately identified, the cross-view space-time dislocation problem of multi-source equipment is solved, dynamic illumination and equipment vibration interference is inhibited, and full-link management and control from data acquisition, feature enhancement and precision calibration to rectification closed loop is realized.

The invention provides an excitation amplitude automatic closed-loop control system and method for a DLCP test. The system comprises a multi-frequency alternating current excitation and direct current bias voltage applying module which is used for automatically applying alternating current excitation signals and direct current bias voltage signals according to a preset excitation amplitude sequence under a plurality of test frequencies; the PID closed-loop control module is used for performing closed-loop correction on the applied voltage according to the response of the test port of the tested semiconductor device, so that the condition of the applied voltage at the test port meets a preset requirement; the capacitance measurement module is used for acquiring an equivalent capacitance response signal of the tested semiconductor device; the capacitance test data caching module is used for performing associated marking and classified caching on the capacitance test data according to the test frequency, the excitation level and the bias voltage set point; and the main control module is used for coordinating automatic test processes under the conditions of a plurality of test frequencies and different excitation amplitudes and outputting corresponding capacitance test data so as to improve the consistency, stability and automation degree of the DLCP test.

The application provides an automatic system and an assembling method of double-line supply integrated assembly, which comprises a first supply line and a second supply line, the first supply line and the second supply line are collected to a positioning assembly output line through a robot taking materials, the first supply line comprises a multi-axis running feeding machine and a secondary positioning platform in sequence, the second supply line comprises a flying feeder, an adsorption material taking device, a clamping material taking device, a point laser height measuring instrument and an upper visual positioning scanning module are arranged on an execution end of the robot, the positioning assembly output line comprises a lower visual positioning module and a product circulation mechanism in sequence, a positioning installation station is arranged on the product circulation mechanism, a material positioning module and a material blocking module are arranged at the positioning installation station, and the execution end of the robot is matched with the flying feeder, the secondary positioning platform, the lower visual positioning module and the positioning installation station in sequence. Through the double-line supply cooperation, multi-stage visual positioning and full-process automation design, the efficiency bottleneck and the precision problem in the assembly of special-shaped parts are effectively solved.

The invention discloses a multi-mode flexible intra-abdominal pressure measuring device and method based on AI, and belongs to the technical field of medical monitoring. The device comprises a flexible wearable carrier, a multi-mode sensor module, a signal conditioning and intelligent wireless transmission module and a data processing module, the flexible wearable carrier is provided with an adjustable fixing assembly and a positioning identifier; the multi-modal sensor module integrates various sensors of pressure, stress strain, sound, acceleration and oxyhemoglobin saturation infrared light, and synchronously collects multi-dimensional physiological signals; the data processing module is provided with an AI algorithm, dynamic scene recognition, self-adaptive weight fusion and individual difference compensation can be achieved, and an intra-abdominal pressure measurement value is obtained through calculation. Non-invasive, real-time and high-precision continuous monitoring of the intra-abdominal pressure is achieved, the clinical measurement error is small, the system is suitable for ICU, postoperative rehabilitation, home management and other scenes, infants and old people are covered, and the comfort, accuracy and clinical efficiency of intra-abdominal pressure monitoring are greatly improved.

The application discloses an automatic riveting device and method for a launch engine nozzle cover, and belongs to the technical field of engine nozzles. The device comprises a riveting base, an X / Y module, a first rotating platform, a riveting positioning tool, a rotating cylinder, a stand, a Z-axis module, a second rotating platform, a precise force control push rod and a riveting head. The nozzle seat is arranged on the riveting positioning tool, and one nozzle cover to be riveted is arranged on each supporting column of the riveting positioning tool. The automatic riveting method is adopted, a plurality of launch engine nozzle covers can be riveted at one time, the working efficiency is greatly improved, and the speed, the pressure, the stroke and other parameters can be adjusted, and the riveting quality consistency of the nozzle cover is improved.

The application discloses a document management method, device, equipment and medium, and is used for realizing tracing. The method comprises the following steps: determining the identification of a document to be managed; determining a macro program of the document, wherein the macro program comprises the identification of the document; obtaining a document object based on the macro program and the document, wherein the document object comprises the document and the macro program; wherein the macro program in the document object is used for collecting information of any device when the document object is opened on any device; sending the document object to a first device; and receiving the identification of the document and the information of the first device sent by the document object on the first device. In the embodiment of the application, the macro program is injected into the document, the macro program can collect the information of any device when the document is opened on any device, and the information is sent to the document management service; the document management service can know which devices open the document, and the tracing can be realized.

This invention provides a method and apparatus for splitting single-cell mixed sample sequencing data, relating to the field of biotechnology. The splitting method includes: capturing and sequencing single-cell suspensions using a single-cell platform; then performing reference genome alignment, cell identification, and gene expression level quantification on the sequencing data using Cellranger; splitting the cell data identified in step a into two groups of cell data for different sexes based on SNP locus information from the 1000 Genomes Project; and distinguishing the two groups of cell data from male or female samples based on the proportion of sex-specific genes expressed in the two groups of cell data. This splitting method eliminates the need for additional experimental operations such as protein labeling and genome sequencing, and can provide accurate and reliable data splitting even when individual SNP information is unavailable.

This invention belongs to the field of distillation apparatus technology and discloses an automatic distillation range measuring instrument and its calibration method, including a housing, a distillation flask, and a tube cover. The left end of the housing has a working area A, and the right end has a working area B. A control box is fixedly installed on the top of the housing. A heating plate is fixedly connected inside the working area A. The invention simultaneously starts a first motor to drive a second pulley to rotate. This, in turn, drives the first pulley to rotate via a drive belt, causing the tube cover to rotate with the mounting end. The serpentine condenser then rotates, and small volumes of liquid adhering to the inner wall of the serpentine condenser, under centrifugal force, slowly slide along the inner wall and merge with other small volumes of liquid to form a larger volume of liquid. Simultaneously, propelled by gas, this liquid drips down the discharge pipe into the collection bottle, effectively cleaning the liquid inside the serpentine condenser and avoiding waste.

This invention discloses a GIS-based risk management system and method for pollutant migration in mining area watersheds, relating to the technical field of simulating pollutant migration patterns. It includes a 3D GIS functional module, a hydrodynamic-water quality model coupling module, and a mining watershed pollution risk management module. Based on watershed hydrology theory and pollutant migration and diffusion mechanisms, it fully considers the migration of pollutants in the storage area after rainfall via surface microrunoff. By studying the formation patterns of microrunoff, it simulates the watershed migration process of pollutants in the mining area under different rainfall intensities, thereby more accurately calculating pollutant migration and diffusion fluxes and managing the risk of pollutant migration in the watershed. Based on historical and real-time data and models, it uses a 3D model to display the spatial distribution patterns and development trends of pollutants, achieving accurate pollutant identification and source tracing. It can simulate pollution control measures in mining area watersheds, predict development trends, and provide early warnings for pollution events.

The invention discloses a microplastic distribution prediction and tracing method, and relates to the field of model detection. Collecting multi-source monitoring data of a target water area, and performing space-time alignment processing on the multi-source monitoring data to generate a structured space-time data set; constructing a three-dimensional ocean current dynamic model of the target water area, simulating ocean current field distribution under different time-space conditions by using ocean environment auxiliary data, and extracting ocean current dynamic characteristic data; processing the spatio-temporal data set and the ocean current dynamic characteristic data through a micro-plastic prediction sub-model, and predicting and outputting a micro-plastic diffusion path and a micro-plastic concentration prediction value of each monitoring station; and processing the current micro-plastic distribution data and the ocean current dynamic characteristic data through the micro-plastic tracing sub-model, and predicting and outputting the current micro-plastic distribution backtracked estuary pollution source. According to the scheme, prediction of the micro-plastic diffusion path and tracing of the pollution source are achieved, the micro-plastic diffusion path can be accurately predicted, the pollution source can be accurately traced, and the efficiency and accuracy of marine micro-plastic pollution treatment are improved.

This utility model relates to the field of blood type card centrifuges, specifically a blood type card centrifuge with a photographic function. It includes a centrifuge body with a centrifuge chamber inside. A cover is rotatably connected to one side of the top of the centrifuge body. A polygonal turntable is installed inside the centrifuge chamber, and several blood type card adapters are connected to the turntable. An inner photographic mechanism is installed on the bottom surface of the cover, and several outer photographic cameras are installed on the sidewall of the centrifuge chamber. An illumination component is also installed inside the centrifuge chamber. By using polygonal mounting columns that match the shape of the turntable, the inner photographic cameras, blood type card detection sensors, and illumination component are integrated. Combined with the outer photographic cameras on the sidewall of the centrifuge chamber, automatic simultaneous photographing of both sides of the blood type card after centrifugation is achieved. The polygonal turntable structure and the layout of the multiple blood type card adapters provide the necessary space for the photographic function, enabling electronic storage and traceability of blood type card interpretation results, improving detection efficiency and data reliability.

The invention discloses a multi-modal medical data encryption method and device based on a large model, equipment and a storage medium, relates to the field of artificial intelligence, is applied to a cloud service layer carrying a target labeling large model, and comprises the steps of obtaining original multi-modal medical data and corresponding target identity data sent by edge end equipment corresponding to the cloud service layer; performing feature extraction on the target identity data to obtain a corresponding biological feature vector, generating a target dynamic key based on the biological feature vector by using a target dynamic key generation algorithm, and encrypting the original multi-modal medical data by using the target dynamic key to obtain corresponding encrypted medical data; and obtaining a target labeling result corresponding to the encrypted medical data by using the target labeling large model, and binding the biological feature vector with the target labeling result by using the target dynamic key so as to encrypt and store the target labeling result in a target database. According to the method and the device, the data annotation efficiency is improved while the privacy disclosure risk is reduced.

The utility model relates to the technical field of aluminum material machining equipment, in particular to an aluminum bar sawing machine which comprises a first conveying assembly, a second conveying assembly, a third conveying assembly and a fourth conveying assembly. The feeding assembly is provided with a lifting type translation module, and aluminum bars are accurately transferred through a sliding groove and a lifting frame. The saw cutting assembly integrates a high-precision circular saw and a dynamic deviation correction conveying table and is combined with an aluminum scrap recycling machine to achieve clean cutting. The discharging assembly removes waste materials through a turnover sorting module, and intelligent traceability of finished products is achieved through a sliding rail moving type laser marking module. The problems that traditional equipment is low in automation degree, poor in cutting precision and low in waste sorting efficiency are solved.

The present application relates to the field of new generation information technology, and discloses an intelligent monitoring optimization method and system for a PE bagging machine, which comprises the following steps: collecting continuous frame images of a production process on the bagging machine by using a high-speed camera, obtaining a dynamic image sequence, determining initial data of bag opening and subsequent data of material filling, processing each frame by using an edge detection algorithm according to the dynamic image sequence, obtaining bag opening contour coordinates, judging the opening area and symmetry index of the bag opening, correlating the posture evaluation score with the bag opening data, calculating a stress distribution model of a heat sealing area, judging the potential risk level of heat sealing quality, extracting a timestamp and a link identifier from the whole production process data if the risk level of heat sealing quality is higher than a threshold value, and obtaining a specific node record of problem occurrence, generating a traceability data chain according to the node record of problem occurrence, correlating all dynamic state indexes, and determining a quality traceability path for production optimization.

This invention belongs to the field of power system automation and discloses a method, system, equipment, and storage medium for wide-area oscillation tracing in power grids. The method includes: acquiring oscillation characteristic information of each substation node; identifying the oscillating substation node and its oscillating current flow direction based on the oscillation characteristic information; acquiring the oscillation amplitude of each oscillating substation node; and determining the oscillation propagation direction of each oscillating substation node based on the oscillation amplitude and oscillating current flow direction; and tracing the oscillation source based on its propagation direction to obtain the oscillation source. This enables accurate analysis of the oscillation propagation path and its impact range, achieving oscillation source tracing and accurate location, thereby providing strong support for power grid operation monitoring and targeted oscillation suppression, effectively supporting dispatching and operation monitoring operations, and ensuring power grid operation safety.

This invention discloses an automated management system and method for assembly workpiece production lines, relating to the field of cloud-edge collaborative technology. The invention integrates assembly operation observation data and cloud-edge scheduling status data, using edge compensation trigger points that have completed time-base correction as event anchor points. It constructs compensation occlusion event fragments according to assembly action affiliation and edge state version. Based on these fragments, it generates compensation occlusion results and degradation overflow fragments, and uses the degradation overflow fragments as propagation starting points to construct a compensation constraint beat propagation relationship graph, generating degradation anomaly source labels. Furthermore, it combines edge state version with cloud-edge state effective interval verification, outputting workstation scheduling restriction results, pending review scheduling instructions, scheduling cancellation results, and anomaly rollback benefit results. This system can identify hidden degradation states masked by edge compensation and reduce cloud-based scheduling control mismatch.

The invention discloses an ammonia gas leakage prevention protective shed for ammonia dual-fuel host detection and a control method, and belongs to the technical field of ammonia dual-fuel host production detection. The protective shed comprises a protective shed body, a transparent protective door system, an exhaust filtering system, a spraying system and an ammonia gas detection system, the protective shed body is composed of metal supports, metal transverse rods, a top plate and wallboards. The transparent protective door system is quickly closed through a worm and gear transmission mechanism; the exhaust filtering system purifies ammonia gas by adopting a four-stage filtering combination; the spraying system forms a water mist curtain through a square pipe and a nozzle; the controller carries out three-level threshold judgment according to signals of the ammonia gas detector, and multi-level linkage protection of detection, closing, exhausting, filtering and spraying is achieved. According to the invention, the problems of rapid sealing, efficient purification and accurate control of ammonia gas leakage during detection of the ammonia dual-fuel host are solved, and the safety and continuity of detection operation are improved.

This invention provides a method, apparatus, electronic device, and storage medium for embedding image watermarks. The method includes: acquiring encrypted data and license information of a target image; wherein the license information includes a decryption key; decrypting the encrypted data using the decryption key with digital rights management (DRM) software to obtain the original image data and original metadata of the target image; wherein the original metadata includes color information of the target image; embedding watermark information into the original metadata using the DRM software to obtain embedded metadata; and outputting the watermark-embedded data of the target image using the DRM software; the watermark-embedded data includes the embedded metadata. This method can achieve reasonable watermark embedding to reduce the possibility of image leakage.

This invention discloses a communication structure for a test module based on a continuity tester, comprising: a continuity test host, having a host MCU and host data signal output and input terminals connected thereto; a continuity test point board, having multiple communication interfaces, each of which is connected to a test bus via a corresponding first switch and grounded via a corresponding second switch; and multiple communication node modules, each having a module indicator light, a node MCU, and node data signal input and output terminals connected thereto. The module indicator lights, node data signal inputs, and node data signal outputs are all connected to their respective communication interfaces via module indicator light control lines, and the module indicator lights are also connected to the host MCU via indicator light enable signal lines. This structure forms a communication network connecting all test modules, enabling the test host to read and save the test results and parameter settings of the test modules, thus achieving traceability of the tested products.

This utility model discloses an FPC stacking device, including a machine base and a destacking component, a stacking component, a box conveying component, a printing component, and a label conveying component mounted on the machine base. The destacking component is used to destacking empty boxes, the stacking component is used to stack finished product boxes, and the box conveying component is used to transport empty boxes away from under the destacking component and transport finished product boxes to under the stacking component. This stacking device can destacking empty boxes and stacking finished product boxes, preventing workers from misplacing materials, reducing the probability of errors during work, and improving work efficiency. Simultaneously, after a set number of finished product boxes are reached, the printing component can print a certificate of conformity, and the label conveying component can transfer the certificate to the finished product box for subsequent code reading and archiving, enabling product data traceability, timely detection and handling of abnormalities, and better control of product quality.

The application discloses a kind of water and electricity plant intelligent operation and maintenance management system and method based on machine learning, belong to water and electricity plant operation and maintenance technical field.The application collects water and electricity plant multidimensional data, carries out data preprocessing, storage enters data warehouse;Unified metadata label is defined, and data blood relationship tracking mechanism is established;Determine the starting point of tracing, based on storage location backtracking, trace data access history, according to data flow chart backtracking, integrated data traceability chain is obtained;Entity recognition and relationship extraction are carried out, and Neo4j is used to build associated graph;The relationship between power grid dispatching data and equipment operation is analyzed, and the associated graph is adjusted;Identify dominant abnormality and implicit abnormality, based on associated graph fusion, obtain water and electricity plant abnormal data;The trend of equipment operation data and sensor monitoring data is predicted, combined with residual analysis positioning deviation value, obtain data fluctuation mode, analyze correlation, obtain the source of water and electricity plant abnormal data.

The utility model discloses a kind of light-weighted layer boards with wooden assembling structure belong to shelf layer board technical field, including lower panel and upper panel, lower panel and upper panel between being provided with edge strip, two groups of vertical strips and two groups of horizontal strips are set in the inner side of edge strip, two groups of vertical strips and two groups of horizontal strips are connected head to tail between, three groups of several profiled plates are set on lower panel and located in the inner side of edge strip, plug-in hole is set in the both sides of upper panel, fixed piece is set on upper panel and located at two groups of plug-in hole, positioning hole is also set in the both sides of upper panel, positioning piece is set on upper panel and located at two groups of positioning hole, injection hole is set in the middle position of one group of horizontal strips, the utility model, it reduces weight 60% (6kg / m 2 ) than solid wood layer board, density control is at 0.35g / cm 3 ;Bearing capacity reaches 120kg / m, bending coefficient is promoted to 18MPa;Wood utilization rate is increased by 40%, 100% degradable is realized without metal connecting piece.

The application belongs to the technical field of automatic processing and discloses a processing equipment facilitating die casting information tracing, which comprises a rack, a feeding servo sliding table is installed at the input end of the rack, a feeding tray is installed on the feeding servo sliding table, a discharging servo sliding table is installed at the output end of the rack, and a discharging tray is installed on the discharging servo sliding table; a displacement mechanism is installed on the rack, and an upright turning mechanism and an inverted turning mechanism are installed on the displacement mechanism; an upper clamp and an upright turning tool tower are installed at the output end of the upright turning mechanism, the upright turning tool tower is installed on the side of the upper clamp, and an inverted turning clamp is installed at the output end of the inverted turning mechanism; the upright turning clamp and the inverted turning tool tower are installed at the position between the feeding servo sliding table and the discharging servo sliding table of the rack; a processing technology facilitating die casting information tracing is disclosed, which comprises the following steps: S1, feeding; S2, external circle processing; S3, internal circle processing; S4, discharging; and S5, code printing.

The application discloses a kind of based on scheduling model's multi-source analysis method and system of interbasin water transfer project, establishes the multi-modal coordination of error compensation based on to come water and water demand prediction model, obtains come water and water demand forecast data using the prediction model;Determine the priority weight between water supply benefit and risk, and establish the large-scale complex interbasin water transfer model of water supply benefit maximization and risk coordination;According to the priority weight and forecast data using the water transfer model obtains optimal water transfer scheme;Collect historical water supply data, obtain current water supply rule prediction data based on bidirectional recurrent neural network, and construct water source model;Using the water source model obtains the water source composition of each water receiving area.The present application significantly improves the intelligent level and decision efficiency of interbasin water transfer project scheduling management.

This invention discloses a laser welding method for ultra-narrow steel-shell batteries, comprising S1. incoming material preparation, S2. positioning and transfer, S3. laser welding parameter setting, S4. laser welding, S5. post-weld inspection, S6. sorting and traceability, and S7. fixture return. This method solves the technical problems of low welding precision, unstable weld quality, poor compatibility, and difficult traceability in ultra-narrow steel-shell battery casings. The method deeply integrates a high-precision magnetic levitation fixture return system, CCD vision-based precise positioning, differentiated laser welding modes, and a full-process MES traceability system. Specifically adapted to the structural characteristics of ultra-narrow steel shells, it achieves efficient and high-precision welding of the steel shell and casing through precise control of welding parameters and process coordination. This invention ensures that weld dimensional accuracy, penetration depth, and sealing meet requirements, enables full-process information traceability in welding, improves production efficiency and product qualification rate, and is suitable for automated mass production of ultra-narrow steel-shell batteries.

This invention discloses a method and system for intelligent monitoring of the entire clinical trial cycle based on multidimensional data fusion. To address the problems of high false alarm rates, lack of interpretability, and difficulty in forming a monitoring closed loop under multidimensional evidence fusion conditions, this invention acquires and standardizes multidimensional clinical trial data and its source data, constructs an evidence layer graph and a source layer graph, and establishes cross-layer associations to form a two-layer evidence graph. Based on source features, the source credibility is calculated and assigned to evidence layer nodes and edges. Source credibility gating is introduced into the heterogeneous graph Transformer attention mechanism for risk inference and risk score output. The risk score is calibrated for confidence and grouped by trial stage and research center. Group-based shape-preserving prediction is used, and the group warning threshold is determined based on the target false alarm rate to output warning labels and risk levels. The minimum sufficient evidence chain is extracted from the triggering warning object for interpretation. Under the condition of frozen model weights, feedback is used to update the credibility parameters, calibration parameters, and thresholds to form a closed loop, achieving the technical effects of low false alarms, interpretable risk warning grading, and a closed-loop intelligent monitoring throughout the entire cycle.

The invention provides a road traffic infrastructure-oriented multi-source data fusion digital twinning construction method, which relates to the technical field of digital twinning, and comprises the following steps of: collecting infrastructure-related multi-source data, and classifying and arranging the infrastructure-related multi-source data to form an original data set; a standardized data set is generated through invalid data screening and removing, missing complementing, duplicate removing, format conversion and incidence relation establishing, digital twin bodies are constructed by combining physical features and spatial layout after data fusion, and the data and the features are associated. According to collection channel classification, standardized processing, differential fusion and adaptive synchronization modes, standard integration and traceability of multi-source data are realized, data integrity, consistency and availability are guaranteed, precise dynamic synchronization of twinborn bodies and physical entities is ensured, and digital support is provided for full-life-cycle management of infrastructures and the like.

The invention discloses a method for splicing large-scale industrial module equipment, belongs to the technical field of large-scale industrial module construction, and aims to solve the problems of low splicing precision, poor quality control, weak tool universality and the like in the prior art. The method comprises the steps of module early-stage preparation, construction site arrangement, module hoisting and positioning, module splicing operation, quality inspection and acceptance, digital filing and the like. A module full life cycle database is established, a high-precision measurement control network is constructed, and an adjustable universal supporting tool and intelligent equipment are adopted, so that high-precision splicing of module butt joint unfitness smaller than or equal to 0.5 mm is achieved; bIM simulation, real-time monitoring and automatic welding technologies are combined, so that the defect rate of the welding seam is reduced to 1% or below. The device can adapt to heavy modules of 50-500 tons and 10-50 meters, the tool cost is reduced by 60% or above, the construction period is shortened by 40% or above, and the device is suitable for the high-precision requirement fields of the nuclear industry, the petrochemical industry and the like.

A blockchain-based group collaborative privacy game mechanism is proposed, applied to blockchain-assisted collaborative LBS query scenarios. In this scenario, all parties adhere to the same smart contract. Users, as entities on the blockchain, perform data storage and verification. Neighboring users spontaneously form collaborative groups to mutually assist in LBS queries; users are members of these groups. For any collaborative group, user profile information is stored on the blockchain. A mobile edge computing (MEC) server customizes a multi-user collaborative privacy game mechanism (CPGM) for each collaborative group based on member profile information. Group members, guided by the CPGM, perform collaborative forwarding and message obfuscation to defend against speculative attacks based on prior knowledge. The CPGM is updated in real-time when a user leaves or joins a collaborative group. This method satisfies users' privacy needs at an acceptable cost.

Embodiments of the present application provide a network attack tracing analysis method and related device, which relate to the network security technical field, and are used to perform homology tracing analysis on a network attack object, determine a network attack organization, ensure network security, and reduce losses. In the method, a target feature value of a feature field is extracted from network traffic data of a to-be-identified object, the to-be-identified object is a first source device whose access behavior satisfies a network attack behavior condition, and the feature field at least includes a transport layer field and an application layer field; based on a field type of the feature field, a similarity recognition mode matched with the feature field is determined; based on the similarity recognition mode, a similarity between the target feature value and a historical feature value is determined, the historical feature value is obtained from a knowledge base constructed according to a historical network attack object based on the feature field; the historical network attack object is a second source device that has a network attack behavior; and based on the similarity, a network attack organization to which the to-be-identified object belongs is determined.