35results about How to "Realize automatic identification" patented technology

The application provides a model training method, a geological type identification method, a device and an electronic device. The model training method comprises: obtaining first training data, wherein the first training data comprises first working parameters of a tunneling device and a geological type corresponding to the first working parameters; inputting the first training data into a pre-trained feature extraction model to obtain second training data output by the feature extraction model, wherein the second training data comprises first target working parameters and a geological type corresponding to the first target working parameters, and the first target working parameters are parameters obtained by performing feature extraction on the first working parameters by the feature extraction model; and inputting the second training data into a pre-constructed network model to perform training, thereby obtaining a geological type identification model. The technical solution can at least alleviate the problem of low accuracy of a judgment result in the prior art when a geological type in front of a TBM tunnel face is judged.

The application discloses a code spraying recognition method applied to three-dimensional intelligent detection of steel plates and relates to the code spraying recognition technical field.The method comprises the following steps: acquiring image data of a product with engraved code spraying; pre-processing the image data to separate and obtain image data of a code spraying character region; performing character cutting on the image data of the code spraying character region to obtain image data of a single code spraying character; identifying the image data of the single code spraying character through a machine learning algorithm; and arranging and combining the identified characters to form a complete code spraying section.The method not only realizes automatic identification of code spraying, improves the accuracy and stability of code spraying recognition, simplifies the code spraying recognition process and greatly reduces the labor intensity of operators, but also is not affected by external use environments and is not limited by hardware platforms, so that the portability is high.

This application provides a method, apparatus, equipment, and storage medium for identifying agricultural irrigation districts based on the irrigation-enhanced evaporation stress index (IESI), relating to the fields of agricultural water resources monitoring and management and remote sensing applications. The method includes: constructing a multi-source remote sensing and auxiliary dataset for the target area; calculating potential evapotranspiration and actual evapotranspiration and coupling them with a vegetation growth stability factor to obtain quarterly IESI data for the target area; determining irrigation identification thresholds applicable to plains and mountainous areas respectively; and discriminating the IESI of the target area to generate a binary spatial distribution map of irrigated and non-irrigated areas. This application solves the problems of existing irrigation area identification methods in large-scale applications, such as reliance on statistical data or large training samples, strong empirical thresholds, insufficient adaptability to terrain and regional differences, and complex calculation processes. It achieves irrigation behavior identification centered on evaporation stress response, ensuring computational efficiency while also considering spatial accuracy and regional adaptability.

This invention discloses an adjustable-pitch multi-channel read / write fiber optic distribution port management system and method, belonging to the technical field of methods or devices for detecting and recording carriers. The system includes: a panel description tag attached to the fiber optic distribution panel, an adjustable-pitch multi-channel tag read / write probe board, an intelligent management terminal host, and a management platform. The panel description tag stores port row identifiers, as well as panel information such as the number of port rows and columns and port pitch. The adjustable-pitch multi-channel tag read / write probe board achieves rapid adjustment of the probe array center distance by replacing the rack blocks. The intelligent management terminal host automatically compares the pitch and guides the pitch adjustment; after pitch matching, it drives the probe array to achieve batch read / write and consistency verification of port tags. The management platform is used to receive the results and update the fiber optic resource ledger. This invention achieves self-identification, self-adaptation, and batch read / write of multi-specification panels, significantly improving operation and maintenance efficiency and reducing error write rate and inventory costs.

This disclosure provides an air separation system, a control method for the air separation system, and an apparatus. The control method includes: acquiring real-time operating data of the air separation system; performing cluster analysis on the real-time operating data to obtain at least one cluster of operating modes; wherein the cluster of operating modes includes vector centers and boundary constraints; calculating the matching degree between the real-time operating data and each vector center; performing weighted calculation based on the boundary constraints corresponding to the matching degree of each vector center to obtain target constraints; controlling the operation of the air separation system according to the target constraints; achieving smooth switching between different load segments, different operating conditions, and different operating modes, avoiding the shortcomings of traditional control methods that are not adapted to the process characteristics of air separation systems.

The application discloses an enamel edge automatic processing system, which comprises a feeding table, a rack, a multi-axis mechanical arm, a control device, a dry wiping execution mechanism, a wet wiping execution mechanism, a edge rolling and glazing execution mechanism and a discharging conveyor. The feeding table is provided with an identification and positioning device for identifying and positioning an enamel ware. The multi-axis mechanical arm, the dry wiping execution mechanism, the wet wiping execution mechanism and the edge rolling and glazing execution mechanism are arranged on the rack. A magnetic chuck for adsorbing the enamel ware is arranged on the end effector of the multi-axis mechanical arm. The control device is electrically connected with the multi-axis mechanical arm, the identification and positioning device, the dry wiping execution mechanism, the wet wiping execution mechanism and the edge rolling and glazing execution mechanism. The application can replace manual work, realize automatic processing of the enamel edge, improve production quality and efficiency and improve the working environment.

The application relates to a debugging method for self-modeling access of a network protection device to a master station, which comprises the following steps: S1, constructing a standardized protection signal rule library and a protection parameter rule library in advance on the master station side; S2, reading self-description model information reported by the network protection device and performing integrity check on the self-description model information; S3, intelligently analyzing and adaptively accessing by the master station based on the self-description model information and the protection signal rule library and the protection parameter rule library, including: performing model automatic point matching and consistency check, protection signal intelligent access, protection parameter intelligent access, signal and parameter logic consistency check and automatic setting value management; and S4, based on the protection signal rule library, the protection parameter rule library and the access result, performing panoramic monitoring and evaluation on the adaptive access situation of the global network protection device. The application can improve the access efficiency, guarantee the data consistency, enhance the system flexibility and expandability.

In some cases involving the field of data processing technology, methods, apparatuses, devices, storage media, and program products for detecting requirement documents have been disclosed. The method includes: acquiring the document content of the requirement document; parsing the document content to obtain a first requirement element, which is the requirement element currently present in the requirement document; acquiring data objects and their historical change information, with the data objects corresponding to the data assets associated with the requirement document; and performing correlation analysis between the first requirement element and the data objects and their historical change information to obtain the requirement document detection result. This achieves automatic detection of requirement documents, improves the efficiency of data requirement fulfillment detection, reduces the possibility of missed risks, and enhances the reliability and accuracy of requirement document detection.

The application discloses a method for controlling sound collection in a vehicle and related equipment, and relates to the technical field of vehicle control. The method comprises the following steps: acquiring a seat sensing signal and in-vehicle image information of a target vehicle; identifying a target person in a singing state in the target vehicle based on the seat sensing signal and the in-vehicle image information to obtain a singing distribution state; if the target seat area where the target person is located contains only front seats or only rear seats, determining a target sound collection mode as a one-side singing mode; if the target seat area contains both front seats and rear seats, determining the target sound collection mode as a full-vehicle chorus mode; and adjusting sound collection parameters of multiple sound collection units in a vehicle-mounted sound collection module of the target vehicle based on the target sound collection mode. The application can realize accurate matching and adaptive adjustment of a sound collection area in a singing scene without a microphone in a vehicle, and improve sound collection accuracy and sound collection effect.

The utility model relates to automatic vending equipment technical field discloses a kind of vending machines, including cabinet, goods channel and circuit control module.Cabinet, its inside is equipped with commodity storage cavity;Goods channel: setting in the commodity storage cavity, including power supply contact module and position identification contact module, the power supply contact module is used to obtain power supply electric energy, the position identification contact module is used to collect the real-time position coordinate data of the goods channel;Circuit control module: setting in the commodity storage cavity, including position identification contact signal module and power supply contact signal module, the position identification contact signal module and the position identification contact module carry out contact type electrical connection, the power supply contact signal module and the power supply contact module carry out contact type electrical connection.

This invention discloses a method for identifying photomask defects, belonging to the field of photomask inspection technology. The method includes: S1, acquiring a surface defect image; S2, preprocessing the surface defect image based on the imaging characteristics of the defect; S3, correcting the preprocessed surface defect image using a filtering algorithm; S4, performing colorimetric analysis on the corrected surface defect image to obtain particle regions; S5, segmenting the particle regions based on the morphological features of the defect to obtain defect islands; S6, performing morphological analysis on the defect islands to obtain the defect type and size. The photomask defect identification method provided by this invention automatically processes surface defect images and extracts defect islands by combining morphological and colorimetric analysis methods, improving the accuracy of defect identification, overcoming the limitations of differences in imaging systems across different devices, achieving automatic batch processing, and saving manpower and material resources in mass production.

The application relates to a high-function autism screening method based on a clinician-child dialogue, and relates to the technical field of natural language processing and medical auxiliary diagnosis. The application aims to solve the problem that existing screening relies on expensive equipment or manual features and is difficult to capture subtle abnormalities in children's language. The implementation steps are as follows: obtaining a doctor-child question and answer dialogue text; adopting a sliding window to combine multiple continuous question and answer pairs into an input sequence; using a pre-trained BERT model to extract word-level deep semantic representation; dynamically weighting the contribution of each word by an adaptive word aggregation module to obtain sequence-level aggregated features; performing paragraph-level classification; averaging the prediction results of all paragraphs of the same child to obtain individual screening results. The application realizes low-cost and high-efficiency early screening of HFA by analyzing the semantic, syntactic and pragmatic abnormalities in the dialogue language, and highlights fine-grained language clues with diagnostic value.

The application discloses a rural land consolidation potential intelligent identification method and device, obtains a rural land object to be consolidated through spatial range vector data and high-resolution remote sensing image data of the rural land to be consolidated, extracts image features of the rural land object to be consolidated, establishes a rural land consolidation potential identification model, realizes automatic identification of the rural land consolidation potential, and corrects the identified potential land block through a participatory survey. The application fully utilizes the advantages of rich and diverse ground object information of high-resolution remote sensing images, realizes intelligent identification of the rural land consolidation potential land block in a manner that random forest classification identification is combined with participatory survey, and makes the identified consolidation potential land block more accurate in scale, more accurate in spatial position and higher in available degree.

This invention discloses a method and system for detecting social media rumors based on the BLRQ-BV model, belonging to the technical field of social media content security and information authenticity identification. It includes: encoding each rumor event as a whole into a text modality and a grayscale image modality, constructing a bimodal data representation that maintains semantic integrity; using a BiLSTM network to extract sequence features from the text, employing a specially designed low-discrimination-information-loss quantum hybrid network LIL-QHN to extract quantum features from the text, and using a ResNet-18 network to extract visual structural features from the grayscale image; losslessly fusing the three modal features through an innovative spherical spatial vector synthesis method VC-BS, preserving the feature strength and directional relationships; and introducing a joint loss function to collaboratively optimize each branch, ultimately achieving end-to-end rumor detection. This invention can robustly achieve automatic identification of social media rumors and is applicable to scenarios such as network content security management, public opinion monitoring and early warning, and digital forensics.

The application relates to the technical field of material intelligent evaluation, and discloses a new material online evaluation method and system based on artificial intelligence, which comprises the following steps: step 1, obtaining material original information, online process real-time data and environment and equipment metadata, and encoding into an input tensor; step 2, obtaining a unified embedding vector through a branch encoder and a fusioner; step 3, obtaining a performance point prediction value through an integrated submodel and calculating a reliability vector; step 4, comparing a threshold value to determine a gating state and a gating failure type; step 5, statistically determining a gating failure rate and determining drift; step 6, calculating a sampling priority value when the drift occurs, supplementing a new labeled sample set according to a supplement budget; and step 7, incrementally training and updating integrated submodel parameters and applicable domain statistics and returning to step 3. The application realizes online evaluation of new material performance and adaptive updating of a model.

The application discloses a specimen identification device, a miniature CCD biochemical analyzer and a specimen identification method. The device comprises a shell, a cover plate provided with a reflective coating at the bottom end, a light source module for emitting light waves, a reaction device for containing a specimen to be detected and allowing the light waves to pass through the specimen, a state detection area for receiving the light waves passing through the specimen to obtain an identification image, and / or a classification detection area for receiving the light waves passing through the specimen to obtain an identification image, an image acquisition and conversion device for capturing the identification image of the state detection area and / or the classification detection area and performing signal conversion, and a computer for generating pixel gray values and judging the detection state of the specimen and / or the category of the specimen according to the pixel gray values. The application realizes the evaluation and judgment of the preset position of the specimen on the detection site and the opening and closing state of the cover plate, and realizes the automatic identification and rapid detection of the specimen.

This invention discloses a starter durability test bench and its operating condition selection and control method and device. The method includes: establishing a preset relationship between multiple operating condition segments and the number of runs of each operating condition segment based on preset operating condition test parameters of the durability test bench; accumulating the total number of cycles of the durability test bench when it is turned on; determining the target operating condition segment and the target number of runs of the target operating condition segment based on the accumulated total number of cycles and the preset relationship; calling the workflow of the target operating condition segment and displaying the workflow, the target operating condition segment, and the target number of runs respectively. Using the above method, automatic identification of operating condition segments, accurate parameter calling, and synchronous status feedback are achieved. Seamless switching between complex multi-segment operating conditions can be completed without manual intervention, improving the level of test automation and execution accuracy; at the same time, it supports full-process visual monitoring, significantly enhancing the reliability and traceability of the test.

The present application belongs to the technical field of oil and gas reservoir fluid identification, and discloses a gas-water identification method, medium and equipment under complex formation conditions and wellbore structure, which is based on geologic region layering according to salinity and formation temperature, and uses an optimized intelligent algorithm to correct resistivity; for non-severe and severe diameter expansion intervals, neural network method and multiple regression method are used to correct porosity. Combined with neural network, the fast discrimination of fluid properties is realized, a gas-water identification fine chart is established for the stratums after zoning and layering, and a set of comprehensive intelligent fluid identification technology is formed. The present application considers the complex formation conditions of salinity and formation temperature of formation water and the complex wellbore conditions of hole diameter expansion and mud invasion, and creates a set of gas-water identification technology for complex geological factors and wellbore environment, realizes the automatic gas-water identification process and improves the accuracy of the final interpretation conclusion.

This invention relates to the field of robot control technology, and discloses a control method, device, backpack robot, and storage medium for a backpack robot. The method includes: responding to the backpack robot arriving at a set area around the shelf to be transported, establishing a lifting center coordinate system with the center of the lifting surface of the lifting module as the origin and the direction of its forward movement and the direction perpendicular to the forward movement as coordinate axes; determining the coordinate position of the bottom center of the shelf in the lifting center coordinate system; controlling its rotation and / or movement based on the coordinate position until the relative error between the newly determined coordinate position and the center of the lifting surface is less than a first preset error threshold; obtaining the relative angle between the newly determined coordinate position and the center of the lifting surface, controlling its rotation based on the relative angle, and then lifting the shelf to perform the transportation task. This achieves automated error adjustment of the backpack robot and precise control of the shelf transportation position, improving shelf transportation efficiency and reducing manual intervention.

This invention discloses a method and related equipment for identifying the synchronization type of a safety light grating. The method includes: outputting preset identification data to a bus via a target bus chip, and receiving the reception result of the bus via the target bus chip, wherein the target bus chip is a first bus chip or a second bus chip; determining whether the current synchronization type is a line synchronization type based on the reception result; and determining the current synchronization type as an optical synchronization type if the current synchronization type is not a line synchronization type. By using the bus chip connected to the transmitting and receiving ends to output preset identification data and receive the corresponding reception result, the method first determines whether the current synchronization type is a line synchronization type, and then determines it as an optical synchronization type if it is not a line synchronization type. This eliminates the need for manual setting using traditional DIP switches, enabling automatic identification of the synchronization type of the safety light grating. This method effectively adapts to application scenarios where DIP switches are difficult to arrange in miniaturized devices and improves the consistency of synchronization type configuration.

This invention discloses a method for predicting urban flood disasters based on satellite infrared brightness temperature and precipitation data. The method includes: combining satellite infrared brightness temperature and precipitation data to identify relevant data of complete lifecycle MCSs (Multi-Category System Components); extracting and filtering CCS area evolution data; determining the optimal value of the sensitivity coefficient; fitting the relationship function between CCS area and time, determining the most vigorous development time as the center point, determining the slope critical threshold based on the sensitivity coefficient, and finding boundary points to divide the development, maturity, and dissipation stages; finally, integrating urban underlying surface characteristics and a waterlogging model to quantitatively predict the level of urban flood disasters and push emergency response measures, optimizing the prediction results and response plans through a dynamic feedback mechanism. This invention can accurately capture the essential characteristics of each stage of MCSs, and based on the capture results, achieve full-process automation from meteorological monitoring to flood prediction and emergency response.

This invention discloses an automatic vehicle modal extraction method and related equipment. The method includes: obtaining basic order information of the first-order torsional mode and the first-order bending mode corresponding to the basic model, and basic model displacement information of the target point, respectively, through modal simulation analysis; obtaining modal calculation information corresponding to multiple parametric models through simulation analysis; calculating the similarity information between the displacement information of the parametric models corresponding to different parametric models and the displacement information of the basic model; and obtaining the torsional frequency information and torsional order information of the parametric models corresponding to the first-order torsional mode, and the bending frequency information and bending order information of the parametric models corresponding to the first-order bending mode, based on the similarity information. The method provided in this application can significantly reduce the post-processing time of simulation results, achieve automatic identification of modal information of parametric models, and improve simulation efficiency in the design phase.

This application relates to the field of wireless communication services, and provides a method, apparatus, electronic device, and computer program product for identifying remote cells. The method includes: acquiring the location information of minimized drive test MDT sampling points of the cell to be identified; determining the local density corresponding to each MDT sampling point in the cell to be identified based on the MDT sampling point location information; determining the cluster center distance corresponding to each MDT sampling point based on the local density corresponding to each MDT sampling point; determining the cluster core location information of the cell to be identified based on the local density and the cluster center distance corresponding to each MDT sampling point; and identifying whether each cell to be identified is a remote cell based on the cluster core location information of all cells to be identified under the same site. The method provided in this application can achieve automatic identification of remote cells and can efficiently support network planning and network optimization.

The invention discloses a DNA synthesis equipment dynamic scanning compensation method based on ink-jet printing and DNA synthesis equipment, and belongs to the field of DNA synthesis. Threshold segmentation, connected domain analysis and circular Hough transform are carried out on a standard analysis image, a circular area of each reaction site is obtained, whether each reaction site meets the roundness requirement or not is judged according to the circle center position from all edge points of each reaction site to the circular boundary of each reaction site, and if yes, the roundness of the reaction site is judged. And acquiring information of the deletion reaction site. And meanwhile, aiming at possible inaccuracy after circular Hough transform, a target detection model YOLO based on a convolutional neural network is combined to calibrate a result, so that high-precision detection of a deletion reaction site suitable for industrial application can be obtained. Furthermore, by increasing the recognition weights of defect reaction sites such as'the distance between part of edge points and the circle center is too large 'in YOLOv6 model training, the suitability of the defect reaction sites and the recognition weights is further improved, the detection precision is improved, and the high-precision DNA synthesis requirement can be met.

This utility model relates to the field of mechanical equipment and provides an automatic handle recognition device, comprising: a handle with a recognition resistor; a machine body with a handle socket, wherein a voltage acquisition circuit is disposed within the handle socket, and the voltage acquisition circuit and the recognition resistor form a closed loop. This invention addresses the shortcomings of related technologies where, when a machine is equipped with multiple identical handle sockets, it is often difficult to quickly and accurately distinguish the inserted handle and output different energy according to the handle's requirements. In this application, by setting different recognition resistors on the handle, the voltage acquisition circuit in the machine body can automatically recognize the handle and output the corresponding energy at the interface corresponding to the handle.

This application provides a vehicle function recommendation method, electronic device, and vehicle based on multi-source data. The method includes: acquiring multi-source data, which includes at least one of the following: vehicle operation data, environmental data, and user operation data; determining vehicle functions to be recommended based on the multi-source data; wherein the vehicle functions to be recommended are those corresponding to the data characteristics of the multi-source data; generating a pop-up prompt based on the vehicle functions to be recommended, and displaying the pop-up prompt on the vehicle's smart terminal device; wherein the pop-up prompt includes prompt text for the vehicle functions to be recommended and a first trigger control, the first trigger control being used to respond to a user's trigger operation and control the vehicle to activate the vehicle functions to be recommended. This method enables the vehicle to automatically recommend vehicle functions, thereby improving the vehicle's control intelligence and enhancing the user experience.

Embodiments of the present application provide a resistance abnormality identification method based on fault recording data, an electronic device, a storage medium and a program product. The method comprises: obtaining fault recording data recorded by a relay protection device during a fault of a power system, wherein the fault recording data comprises: three-phase differential current, three-phase current of each branch, and phase loss starting signal of each branch; according to the phase loss starting signal of each branch, filtering out a branch with only a single-phase loss starting signal from all branches as an object to be analyzed; determining a single phase corresponding to the object to be analyzed; in the case that the three-phase differential current meets a preset condition, comparing waveform consistency of the single-phase branch current and the differential current within a preset time window after a current mutation moment to obtain a waveform consistency comparison result; and in the case that the waveform consistency comparison result is lower than a set similarity threshold, determining that there is resistance abnormality in a neutral line of a current transformer of the branch.

The utility model relates to a vending equipment technical field discloses a kind of goods channel connecting structure for vending machine, comprising: goods channel and circuit control module.Goods channel: including power supply contact module and position identification contact module, power supply contact module is used to obtain electric energy, and position identification contact module is used to collect the position data of goods channel;Circuit control module: it is set to one end of goods channel, including position identification contact signal module and power supply contact signal module, position identification contact signal module and position identification contact module carry out contact type electrical connection, and power supply contact signal module and power supply contact module carry out contact type electrical connection.Through the contact type connection of position identification contact signal module and position identification contact module, the goods channel position information automatic identification is realized, and after power-on, vending machine can be made goods channel map quickly.Through the contact type connection of power supply contact signal module and power supply contact module, power supply control circuit establishment is completed.

This application provides a log processing method, apparatus, and electronic device. The method includes responding to a focus window switching event during application startup, acquiring target information for log capture, and performing log capture when the target information meets preset conditions. The preset conditions include at least one of the following: the duration of the focusless state during focus window switching exceeds a first preset duration threshold; the user's gesture information during focus window switching conforms to a first preset gesture; and the frequency of gesture information conforming to a second preset gesture exceeds a preset frequency threshold. By real-time monitoring of window focus switching events and target information, the timing of application startup anomalies can be accurately captured, ensuring the capture of critical logs and improving defect location and repair efficiency.

The invention discloses a commodity loss prevention method and device for supermarkets and supermarkets. The method comprises the following steps: obtaining a first commodity identification result set of commodities in a shopping cart by a shopping cart system; obtaining a second commodity identification result set of commodities in the shopping cart after the shopping cart passes by the intelligent loss prevention equipment, wherein the first commodity identification result and the second commodity identification result both comprise commodity categories and identification confidence of each commodity category; calculating the matching cost of each first commodity recognition result and each second commodity recognition result based on the commodity category and the recognition confidence, and forming a matching cost matrix; and according to the matching cost matrix, the first commodity identification result and the second commodity identification result are matched to obtain a matching result, and the matching result comprises successfully matched commodities and unsuccessfully matched suspicious commodities. According to the invention, suspicious commodities in supermarkets and supermarkets can be effectively identified, and the vulnerability of damage prevention of intelligent shopping carts is avoided.