109results about How to "Realize automatic identification" patented technology

The invention relates to the technical field of risk early warning, and provides an operation risk early warning method, device and system for substation operation and maintenance personnel and a medium. According to the implementation scheme, the method comprises the steps of training a behavior recognition model based on multi-modal historical data to obtain a target recognition model; based on the current operation data of the operation and maintenance personnel, performing risk identification on the current operation behavior represented by the current operation data through a target identification model to obtain an identification result; if the identification result is that the current operation behavior belongs to the dangerous behavior, triggering a multi-dimensional risk assessment mechanism to perform risk assessment on the current operation behavior to obtain a risk assessment result; and generating risk early warning information based on the risk assessment result. According to the embodiment of the invention, the intelligent early warning of the operation risk of the operation and maintenance personnel of the transformer substation can be realized, and the safety guarantee level of the operation and maintenance personnel during operation is improved.

The utility model discloses a portable intelligent substation microstation equipment inspection device, including front end equipment, back end equipment and cloud equipment. Front end equipment is handheld inspection terminal, and integrated main control board, camera, display screen, fingerprint identification, communication interface etc. parts are used for information collection and interaction, and cloud equipment includes equipment information database, fault log record library, solution library, and is connected with front and back end equipment through information interaction module, realizes data storage and scheme calling, and back end equipment includes video processing, state monitoring, fault prediction, personnel scheduling and information transmission etc. module, forms the automation inspection and fault processing process. The device has the advantages of flexible deployment, accurate identification, efficient response, and can improve the intelligent degree of inspection and the substation operation and maintenance efficiency.

The application discloses a kind of pulse Doppler radar weather cloud clutter automatic filtering methods, belong to radar data processing technical field.The method utilizes the statistical characteristics of weather cloud clutter on radar echo spectrum diagram, and the spatial position and motion characteristics of radar track in monitoring area, realizes the automatic identification and effective elimination of weather cloud clutter, reduces false track, and improves the detection performance of radar to "low, slow and small" target.

The invention relates to the technical field of power system fault detection, in particular to a factory power distribution system fault interval section determining method and system and terminal device.The factory power distribution system fault interval section determining method comprises the steps that when a power failure fault of a power distribution system is monitored, voltage and current data within a preset duration before the fault is obtained; comparing the phase current amplitude with a rated current threshold value, judging that the phase current amplitude is an external fault if the phase current amplitude does not exceed the limit, calculating a zero-sequence current if the phase current amplitude exceeds the limit, and comparing the zero-sequence current with a zero-sequence threshold value to distinguish a ground fault or an inter-phase fault; adaptively calling a phase difference analysis process according to an identification result, calculating a phase difference between a zero-sequence current and a zero-sequence voltage during a grounding fault, calculating a phase difference between a fault phase voltage and a fault phase current during an inter-phase fault, and judging whether a fault interval is internal or external according to a phase difference interval; and a structured message is automatically generated by integrating fault types, interval judgment and triggering criterion paths, so that quick and accurate fault positioning and handling are realized.

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.

This invention discloses a master-slave task synchronization method, device, controller, and rail train, relating to the field of rail transit technology. The method includes: the current controller identifying the master-slave presence status on the rail train's chassis; determining the system master control status corresponding to the current controller based on the master-slave presence status; if the system master control status is in master control mode, generating an interrupt request at a first preset time interval, performing synchronization task processing according to the interrupt request, and sending the interrupt request to other present controllers. This invention achieves automatic master-slave controller identification by determining the system master control status corresponding to the current controller based on the identified master-slave presence status; by having one controller acting as the system master controller generate and send an interrupt request to other controllers acting as system slave controllers, all controllers can perform strict master-slave task synchronization according to the interrupt request of the system master controller, thus improving the accuracy of master-slave task synchronization.

The invention discloses an underwater CSK-OFDM modulation and detection method based on LED linear constraint, and the method comprises the steps: enabling a transmitter to map a data bit stream of a constellation diagram into a complex symbol stream, converting the complex symbol stream into a real number time domain sequence through an ACO-OFDM module, carrying out the LED amplitude limiting of the time domain sequence, and obtaining a time domain clipping sequence; transmitting the time domain clipping sequence in a UOWC channel through a corresponding LED, introducing symbol timing deviation and amplitude limiting noise into a frequency domain by a receiver, and processing the time domain clipping sequence by using an ACO-OFDM module again to obtain a received signal; under the maximum expectation framework, the probability from each alternative constellation diagram is calculated, symbol timing deviation and additive white Gaussian noise variance are estimated, a globally optimal solution is obtained, and a constellation diagram recognition result is output through maximum likelihood demodulation. According to the method, the linear range constraint of the LED and the complex environment under the UOWC scene are comprehensively considered.

The application discloses an ultrasonic image processing method, device, equipment and storage medium, and the method comprises the steps of detecting a selection instruction for indicating selection of a target object in an ultrasonic image, taking a coordinate indicated by the selection instruction as a starting point coordinate; and performing boundary diffusion identification around the starting point coordinate to identify a boundary contour of the target object from the ultrasonic image. The application takes any point in the target object as the starting point coordinate, and performs boundary diffusion around the starting point coordinate to identify the boundary contour of the target object. The application automatically identifies the boundary of the target object, reduces human intervention, improves the efficiency and accuracy of boundary identification. The boundary contour is identified based on the change of energy coefficients between pixel points, and the change of the energy coefficients conforms to the change of texture features at the internal and boundary parts of the target object, so that the boundary contour can be accurately identified. The whole boundary diffusion process can be superimposed and displayed in the ultrasonic image, and the visualization of the whole boundary diffusion process is realized.

The application relates to the field of data processing and discloses a structured data automatic extraction and output method and device for business bills. The method comprises the following steps: providing a plurality of pre-created and published template snapshots and data structure constraint rules; acquiring a bill image; automatically determining a target template type matched by the bill image, loading corresponding template snapshots and data structure constraint rules according to the target template type; performing optical character (OCR) recognition on the bill image to obtain OCR text; and extracting and outputting corresponding structured business data from the OCR text through an information extraction engine according to extraction prompt words and data structure constraint rules. The embodiment of the application can self-define a template, automatically identify a bill type, perform data extraction through context semantic understanding to break through the difference barrier of field naming, and directly output structured business data, so as to meet the automation, standardization and traceability requirements of enterprise-level bill processing.

The application discloses a quick finite element modeling method of a five-axis machining center driven by G code instructions, and belongs to the technical field of machine tool simulation and structural dynamics. Step 1: independent meshing of parts and pre-computation of element matrices; step 2: establishment of a machine tool kinematics model and construction of a joint surface node index table; step 3: G code instruction analysis and node coordinate updating based on inverse kinematics solution; step 4: automatic pairing of joint surface nodes based on the K nearest neighbor algorithm; step 5: master-slave node freedom degree deduplication and preprocessing based on a spherical hinge connection pair; step 6: overall matrix assembly based on matrix reuse and rotation transformation; and step 7: multiple constraint application and system matrix condensation processing. The application can realize dynamic updating of a machine tool finite element model, reflect time-varying structural characteristics driven by G code instructions in a machining process, provide a more accurate mechanical model for dynamic simulation, and support forward design iteration and machining process optimization of a machine tool structure.

The present application relates to a kind of based on multi-target patch type ultrasonic hemodynamic state quantification and classification method, comprising: obtaining the ultrasonic echo signal of multiple channels and carrying out filtering and gain compensation preprocessing;Extract the hemodynamic physical parameter of each channel;The hemodynamic physical parameter of each channel is carried out multi-scale coarse-grained processing to construct multi-scale fuzzy entropy spectrum, and hemodynamic physical parameter is mapped as the local entropy grade score of the channel based on multi-scale fuzzy entropy spectrum;According to the signal quality evaluation result of each channel, determine dynamic weight, based on dynamic weight, the local entropy grade score of each channel is weighted and summed to obtain comprehensive quantification index;The time sequence of the comprehensive quantification index of multiple continuous moments is analyzed and output stability label by recursion characteristic;The local entropy grade score of each channel, comprehensive quantification index and stability label constitute multidimensional feature vector, input preset classifier, and output hemodynamic state classification result.

This invention discloses a coal spill identification method based on information entropy, relating to the field of detection technology. The method includes the following steps: Step 1: For each frame image of the monitored area, convert it into a grayscale image and represent it using matrix A; Step 2: Perform edge detection on matrix A, and record the result as matrix C; Step 3: Calculate the information entropy of matrix C to obtain the frame entropy H of the grayscale image; Step 4: Process each frame of the real-time frame images generated sequentially in the monitored area through steps 1 to 3 to obtain a frame entropy sequence; Step 5: Calculate the frame entropy mean μ and variance σ of the frame entropy sequence. 2 Determine the threshold H for frame entropy alarm. gate Step 6: When the frame entropy of several consecutive frames exceeds the threshold H gate If a coal spill occurs, a shutdown command is sent. This invention utilizes a pure algorithm, avoiding the time-consuming and labor-intensive cleanup caused by coal blockage, and providing a reliable technical guarantee.

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 relates to the field of violation recognition technology, and in particular to a method for identifying violation video information based on a convolutional neural network model. The method acquires preprocessed monitoring video of a power operation site; divides the preprocessed video into M segments, extracts representative frames from each segment to obtain a representative frame sequence; inputs the representative frame sequence into a residual convolutional network, and after the first convolutional layer of each residual block, a channel attention module calculates the channel weight vector, then performs selective temporal shift guided by the channel weight vector, and obtains frame feature vectors after complete forward propagation; temporal aggregation and multi-class fusion are performed on all frame feature vectors to output the violation behavior recognition result. This application integrates spatial features and temporal information, realizing end-to-end automatic identification of power operation violations, improving the timeliness and accuracy of violation detection.

This invention provides an automatic identification method for sandstone and conglomerate based on imaging logging and combined logging data, comprising: Step 1, preprocessing imaging logging data; Step 2, constructing sandstone and conglomerate lithology sample data; Step 3, constructing an automatic identification network structure for sandstone and conglomerate based on deep learning-based imaging logging and combined logging data; Step 4, training and validating the automatic identification network for sandstone and conglomerate based on deep learning-based imaging logging and combined logging data; Step 5, conducting application tests of the automatic identification method for sandstone and conglomerate based on deep learning-based imaging logging and combined logging data. This automatic identification method for sandstone and conglomerate based on imaging logging and combined logging data takes one-dimensional logging data and two-dimensional imaging logging data as input, and utilizes the constructed combined identification network model to effectively fuse multi-dimensional logging data, achieving high-precision automatic identification of sandstone and conglomerate lithofacies and lithology.

The application relates to a cloth changing method of a cleaning robot, which comprises the following steps: receiving an input cloth changing instruction and entering a cloth changing procedure; reading mileage information of a mop, a plurality of the mops being movably arranged on the cleaning robot; judging state information of the mop based on the mileage information of the mop; driving the mop to move to a cloth changing position based on the state information of the mop; and changing the mop and resetting the mileage information of the mop. Through the above technical scheme, the longer the mileage of the mop on the working ground, the dirtier the mop. By comparing the mileage information of the mop, the cleaning robot can judge the state of the mop, so as to determine the timing of changing the mop, realize automatic identification of the state of the mop, and judge whether the mop needs to be changed.

The application discloses a three-dimensional digital management building pipeline node auxiliary positioning method, and relates to the technical field of building construction. The method comprises the following steps: step one, collecting multi-source data of a plurality of equipment terminals, fusing the multi-source data through adaptive federated filtering, and outputting three-dimensional coordinates and component parameters of nodes; step two, pre-acquiring a BIM attribute graph of a building pipeline, constructing a measured attribute graph based on the three-dimensional coordinates and the component parameters of the nodes, screening out deviation nodes by matching the spatial position and semantic attributes of the BIM attribute graph and the measured attribute graph through a graph convolution network, correcting the deviation nodes by using reinforcement learning, and outputting a corrected calibration model; and step three, automatically highlighting corresponding pipeline components in the BIM based on the three-dimensional coordinates of the nodes and the calibration model, and superimposedly displaying design parameters and historical maintenance records; and automatically deciding a correction strategy according to the deviation type and grade by using a deep Q network, so that intelligent and iterative correction of the deviation nodes is realized, and manual intervention is greatly reduced.

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.

The invention discloses a moxibustion device special for a Taiyi Shen needle and a moxibustion applying method of the moxibustion device, and belongs to the technical field of medical care equipment. Comprising a supporting body, a moxibustion applicator, an expansion mechanism, a positioning body and the like. Through brand new design and combined use of multiple structures and multiple systems of the expansion mechanism, the positioning body, the protector, the positioning system and the monitoring system, multiple functions of moxibustion application, expansion, positioning, protection, monitoring, smoke purification and the like are integrated, comprehensive, automatic and accurate moxibustion application is achieved, the moxibustion efficiency and quality are remarkably improved, and the application range is wide. Clinical difficulties of related medical staff are comprehensively and systematically solved, and comfortable, safe and efficient treatment experience is provided for patients.

The invention provides a control method of an electric tool and the electric tool thereof, and is applied to the field of electric tools. The control method comprises the following steps: determining whether a fastener begins to be seated or not by acquiring a current change rate during operation of the electric tool; and when the fastener is seated, current parameters within a preset time period are obtained, a control instruction is generated according to the current parameters, and the tool is made to automatically enter a first operation mode or a second operation mode. According to the method, the workpiece type is automatically recognized, the corresponding operation mode is executed, the trouble of frequently switching tool modes is avoided, and the tool use efficiency is improved. Compared with the prior art, the problem that a tool is excessively driven into a workpiece or the workpiece is damaged can be effectively avoided, the working efficiency is improved, and the working precision is guaranteed.

The utility model discloses an earth-rock engineering transport vehicle access registration system, which relates to the technical field of engineering control, and comprises a main control device which is respectively in signal connection with an exit registration device, an entrance registration device, a network module and a barrier gate device, and the exit registration device comprises an exit identification device and an exit snapshot device. The entrance registration device comprises an entrance identification device and an entrance snapshot device. According to the utility model, the exit snapshot device and the entrance snapshot device are arranged to photograph and record the appearance, cargo loading and the like when the vehicle enters and exits the parking lot, so that the vehicle information registration is more comprehensive; through signal connection between the master control device and the exit registration device, the entrance registration device and the barrier gate device, automatic identification of vehicle information and automatic control of the barrier gate are realized. When the vehicle arrives at the entrance and exit, the exit identification device and the entrance identification device can rapidly identify vehicle information and transmit the vehicle information to the master control device to control a barrier gate switch, so that the vehicle entrance and exit management efficiency and the authenticity and objectivity of the entrance and exit information are improved.

The application relates to a bridge modal parameter automatic identification method and system considering multi-channel information, which comprises the following steps: S1, generating a stability diagram by directly analyzing multi-channel monitoring signals by using COV-SSI, automatically extracting stable axes by combining a DBSCAN clustering algorithm, and realizing automatic identification of modal frequencies; S2, decomposing multi-channel monitoring data by using MvFIF to generate an intrinsic modal function (IMF) group with modal alignment characteristics; S3, calculating the instantaneous frequency and bandwidth of the IMF in step S2 by using HHT, screening out an IMF component containing a target modal frequency, and performing linear reconstruction; and S4, taking the multi-channel monitoring data after the reconstruction in step S3 as system input of the COV-SSI algorithm, calculating a system matrix and an output matrix, and calculating modal damping ratios by using eigenvalue decomposition; the method can consider the space-time correlation between multi-channel data, realize synchronous decomposition of multi-channel monitoring data, and realize automatic and accurate identification of structural modal parameters under different noise levels.

This invention relates to a method and system for identifying field roads. The method includes: acquiring field image information using a drone; determining a segmentation threshold based on the field image information using the golden section method; segmenting the field image information using the segmentation threshold to obtain segmented roads; and determining the field roads using a mathematical cumulative model based on the segmented roads. This invention can quickly achieve automatic identification of farmland road information.

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.

The invention discloses a joint surgical operation data fusion processing method and system based on a multi-modal image, and relates to the technical field of image processing. The method comprises the following steps: performing motion state evaluation based on joint trajectory data of each posture point image in a multi-modal image, and dynamically acquiring a reference joint image of the multi-modal image based on a motion state evaluation result; performing image accuracy evaluation based on joint position data in each reference joint image, and dynamically correcting the joint data based on an image accuracy evaluation result; and forming a joint three-dimensional model based on the corrected joint data, performing dynamic region division based on joint evaluation parameters in the joint three-dimensional model, and dynamically adjusting the model geometric accuracy of the joint three-dimensional model based on a region division result and a joint category. Accurate quantitative analysis of the joint movement function, individualized high-precision three-dimensional model reconstruction and systematic improvement of clinical diagnosis efficiency are achieved.

The invention discloses refractory material homogenization production equipment and a refractory material homogenization production method, and belongs to the technical field of refractory material processing. The equipment comprises a mixing cavity, concentration detection sensor groups arranged in different areas, a variable-frequency driving stirring device, a plurality of paths of independent feeding subsystems and a control unit. According to the method, a segregation potential matrix is calculated and an optimal feeding sequence is determined according to the median particle size and true density of each component, and each component is sequentially input at a self-adaptive rate according to a gradual increasing function; in the mixing process, a homogeneity gradient field is constructed, a segregation area is recognized, and segregation severity is quantified; the stirring speed is adjusted in a self-adaptive mode by combining a proportion-integral control law and feed-forward compensation, and a mixing end point is automatically judged after the homogeneity reaches the standard and is stable. According to the invention, the component uniformity and batch consistency of the refractory material are improved, and the energy consumption is reduced.

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.

The invention provides an automatic angle ratio identification method and system of an optical fiber probe and an in-situ measurement device, and relates to the technical field of semiconductor detection.The method comprises the steps that an iris diaphragm of a light beam adjusting assembly is used for sampling light returned by the optical fiber probe according to a preset aperture sequence, an original data set is formed, and feature vectors are extracted; and matching with a pre-calibrated standard feature set in a database to output a target angle ratio. By adopting the scheme, automatic identification of the angle ratio can be realized under the condition that the hardware structure of the optical fiber probe is not changed; meanwhile, because the standard feature set is established under the unified preset calibration condition, the matching process has better robustness for the individual difference of the probe, thereby effectively reducing the risk of manual configuration and mismatching, improving the parameter consistency and measurement precision under the working condition of high-temperature strong background radiation, and improving the accuracy of measurement. And the universal adaptation capability of the in-situ measurement device to different probes is enhanced.