21results about How to "Realize OK" patented technology

This invention relates to the field of single-phase circuit fault location technology, specifically to a method and system for tracing single-phase circuit fault points. When measuring distributed capacitance, this application generates a rectangular oscillating wave, output to the capacitor under test, and uses an integrating circuit to measure the voltage value. The capacitance value is then confirmed based on the voltage value. Since distributed capacitance exists between conductors and its value is related to the conductor length, by measuring the distributed capacitance, the length of the conductor can be determined, i.e., the distance to the fault, thereby determining the fault location. This application can accurately locate fault points in wall-buried or underground circuits, reducing operating costs, and has the functions of accurately locating line fault points and testing the length of broken wires.

The invention discloses a water area resource utilization grading and pricing method based on spatial heterogeneity correction. The method comprises the following steps: S1, evaluating the service value of a water area ecosystem; s2, determining a water area resource utilization standard price; s3, dividing water area space levels; and S4, correcting the water area resource utilization standard price. According to the method, the water area resource utilization standard price is determined by quantifying the influence of water area resource utilization on the ecological system service value, the hierarchical water area resource utilization coefficient reflecting spatial heterogeneity is introduced for spatial correction, and finally the water area resource utilization hierarchical guidance price is formed. According to the method, a complete technical process from ecological system service value profit and loss quantification to space differentiation pricing is constructed, the water area resource utilization grading guidance price is determined, the technical blank in the field is filled, a scientific basis is provided for a water area resource management decision, and the economic benefit of the water area resource management decision is improved. The method has good operability, acceptability and popularization and application prospects, and ecological protection and sustainable utilization of water resources can be promoted.

This invention discloses an air conditioner, an air conditioner control method, a controller, and a storage medium. The air conditioner control method includes acquiring piezoelectric parameters collected by a piezoelectric sensor; and determining the current position of the compressor rotor based on a preset heat-shrink angle, the magnitude of the piezoelectric parameters, and their variation patterns. The piezoelectric sensor is positioned between the housing and the spring, preventing it from detaching even when the compressor is running at high speed. Furthermore, by observing the linear motion of the slider reflected by the piezoelectric parameters, the eccentric rotation of the piston is obtained, leading to the eccentric angle of the rotor, ultimately determining the rotor's current position. This invention achieves precise compressor control by acquiring piezoelectric parameters from a piezoelectric sensor, preventing control misalignment in the air conditioner and improving the user experience.

The invention relates to the technical field of semiconductor detection, discloses a packaged chip detection method, and particularly relates to a chip edge defect detection method, electronic equipment and a readable storage medium. According to the invention, area segmentation is carried out on the surface of the chip to obtain a plurality of detection areas with high relevance with a detection result, and a contour detection method, a distance transformation method, a normal vector calculation method and other methods are respectively adopted to determine whether contact exists among the plurality of detection areas and corresponding contact depth information in combination with a plurality of parameters. Therefore, detection of chip edge defects, especially edge breakage defects, is realized. According to the embodiment of the invention, the method achieves the determination of the edge breakage through the judgment of the spatial position relation among a plurality of detection regions, and has the technical advantages of high precision and low cost.

The present application belongs to the technical field of aero-engine, and proposes an aero-engine oil system posture analysis method and device, which comprises: obtaining the set working state of the engine oil component to be measured, and establishing the engine oil component model correspondingly; constructing the aircraft positioning coordinate system based on the engine oil component model; obtaining the flight state parameters for corresponding aircraft force analysis; obtaining the oil level of the aircraft, constructing the mapping relationship between the flight state parameters and the oil level; obtaining the actual flight state parameters, obtaining the matching relationship between the actual oil level and the engine of the aircraft to be measured; and analyzing the oil system of the aircraft to be measured based on the matching relationship. The present application adopts the coordinate conversion and overload synthesis method, force analysis, establishes the mapping relationship between the flight state parameters and the oil level, realizes the determination of the oil level, and realizes the analysis of the oil system posture.

This invention discloses a method for calculating the position of the main flow line in a 90° bend river, belonging to the fields of hydraulics and river dynamics. By combining the geometric characteristics of the bend with hydrodynamic conditions, and introducing dimensionless parameters such as relative bend radius, Froude number, and relative water depth, a calculation formula for the lateral offset of the main flow line is established, thereby determining the spatial coordinates of the main flow line. This method has a clear calculation approach, well-defined physical meanings of the parameters, and readily available parameters. It is applicable to the hydrodynamic analysis of 90° bend rivers and can provide a reference for riverbed scouring and deposition analysis and engineering design in bend rivers, demonstrating good applicability and potential for wider application.

Embodiments of the present application disclose a method, device and equipment for determining a motion vector constraint range, and a storage medium. The method comprises the following steps: determining a reference frame image of a current frame image, and obtaining encoding information of the reference frame image; determining motion vector statistical data of each encoding block in the reference frame image according to the encoding information, wherein the motion vector statistical data comprises vector loss data in horizontal and vertical directions; and calculating a motion vector constraint range of the reference frame image according to the motion vector statistical data. The scheme significantly improves the compression efficiency of video encoding.

The invention discloses a wafer detection method and device, a medium and a product, and relates to the technical field of semiconductor integrated circuits. The method comprises the following steps: acquiring a global optical microscopic image and a global detection image of a target crystal grain in a wafer to be detected, wherein a detection attention area of the target crystal grain is marked in the global optical microscopic image; according to an image association relationship between the global optical microscopic image and the global detection image, mapping the detection interest area to the global detection image to obtain a target detection interest area; acquiring a detection image; and aligning the detection image with the global detection image, determining a mapping position of the detection image in the global detection image so as to position a target area mapped with the target detection concern area in the detection image, and performing defect detection on the target area. Therefore, according to the scheme, accurate positioning of the detection area is realized according to the actual corresponding relation between the images, and the problem of detection area deviation caused by deviation of the motion platform is avoided.

The application discloses a kind of fracture conductivity determination method and device, it is related to oil and gas field development technical field, main purpose is to improve the efficiency and accuracy of fracture conductivity determination method.The main technical scheme of the present application is: obtaining the fracture conductivity database of target work area;According to the fracture conductivity database of target work area, obtain the basic architecture of fracture conductivity neural network;Determine neural network weight and threshold training method based on preset training accuracy;Based on the basic architecture of fracture conductivity neural network, the preset training accuracy and the neural network weight and threshold training method, adjust neural network training method and carry out neural network training, obtain neural network model;According to the neural network model, determine the fracture conductivity of target work area.The present application is mainly used for efficiently and accurately determining fracture conductivity, and then provides reliable fracture conductivity parameters for hydraulic fracturing reconstruction, design.

The application relates to the technical field of intelligent decision-making, and discloses a text detection method, a text detection device, equipment and a medium: a to-be-detected text is acquired, multi-modal analysis is performed on the to-be-detected text, and a multi-modal text fingerprint is obtained; when a text verification result of the to-be-detected text represents that all text verifications pass, a text semantic version graph is acquired; text matching is performed on the multi-modal text fingerprint and historical text fingerprints in the text semantic version graph, and a target detection text is obtained; a difference between the to-be-detected text and the target detection text is determined as a semantic difference, and when the semantic difference is key field information and a state of the target detection text is completed, the to-be-detected text is determined as a risk text. The application is applied to a financial scene. Through the multi-modal text fingerprint and the text semantic version graph, subtle information in the to-be-detected text and overall text fingerprint detection are realized, and the accuracy and reliability of risk text detection are improved.

The application relates to the computer technical field, in particular to a sensitive word storage and retrieval method and system, electronic equipment and storage medium, the method comprises the following steps: storing the sensitive word to be stored to a target sharding service through a target mapping table, wherein the target mapping table comprises a mapping relationship between the target sharding service and the first character of the sensitive word to be stored, the target sharding service is one of a plurality of sharding services in memory, and the target sharding service is a sharding service polled currently; based on the target mapping table and the first character of the word to be retrieved, the sharding service to be retrieved corresponding to the first character of the word to be retrieved is determined; and based on the word to be retrieved and the data stored in the sharding service to be retrieved, the sensitive word retrieval is carried out; the method can preferably improve the storage efficiency and retrieval efficiency of the sensitive word, and the cost is low.

The application relates to the technical field of unmanned ships, and relates to an anti-interference autonomous berthing regulation method and system for an unmanned ship, which comprises the following steps: obtaining a berthing three-dimensional coordinate system based on the unmanned ship and a target berthing area; confirming a plurality of environment sensing nodes in the berthing three-dimensional coordinate system according to a sensing distance; obtaining target environment data based on a target sensor set and the environment sensing nodes; obtaining node coordinates of the environment sensing nodes based on a situation awareness instruction, performing an identification operation on the node coordinates by using the target environment data to obtain situation awareness coordinates, and collecting the situation awareness coordinates to obtain a situation awareness coordinate set; obtaining a target monitoring area based on the situation awareness coordinate set; regulating the unmanned ship based on an anti-interference regulation instruction and the target monitoring area to obtain a target berthing unmanned ship; and realizing anti-interference autonomous berthing regulation based on the target berthing unmanned ship. The application can realize anti-interference regulation of berthing of the unmanned ship.

The invention relates to a photographing method and device, electronic equipment and a storage medium. The photographing method comprises the steps that a first interface of a camera application program in a target photographing mode is displayed, the first interface comprises a view-finding display area, and the view-finding display area is used for displaying a preview image of a target object; in response to an acquired photographing instruction, photographing the target object to obtain a photographed image; wherein the photographed image comprises a first image frame, the photographed image can be represented and displayed based on the first image frame, and the first image frame is an image frame determined based on a face state of a target object in a photographed image generation process. According to the embodiment of the invention, the photographed image can better meet the requirements of a user.

The application discloses a music style migration method, which comprises the following steps: obtaining to-be-combined music and to-be-migrated music; inputting the to-be-combined music and the to-be-migrated music into a preset style decoupling model respectively to obtain a first pitch content code, a second pitch content code and a rhythm code; inputting the first pitch content code and the rhythm code into a first decoder to obtain migrated music; inputting the second pitch content code and the rhythm code into a second decoder to obtain reconstructed music; detecting the migrated music and the reconstructed music by using a discriminator to obtain a style migration detection result; and determining the migrated music as target music when the style migration detection result represents successful migration. The preset style decoupling model is used for completely decoupling music, thereby avoiding mutual mixing between pitch content and rhythm style. The discriminator is used for detecting the migrated music and the reconstructed music, thereby ensuring successful rhythm style migration and improving the effect of music style migration.

This invention relates to an adaptive multi-threaded inadvertent transmission method and electronic device, belonging to the field of computer and communication technology. The method includes: obtaining OT task requirements; if it is a second 2-choice-1-OT with a certain number of threads, repeatedly executing the second 2-choice-1-OT, repeating the cycle times; in each cycle, dividing the second 2-choice-1-OT into multiple 2-choice-1-OTs no greater than the first 2-choice-1-OT, executing the multi-choice-1-OT with a key combination as input, encrypting and transmitting messages, using multiple threads to handle communication steps, aiming to minimize the average time of a single 2-choice-1-OT, and updating based on the accumulated computation and communication time of the multi-choice-1-OT. This invention achieves dynamic adaptive optimization of the average time of a single 2-choice-1-OT in iterative loops, ultimately minimizing the average time of a single 2-choice-1-OT in a fixed multi-threaded manner, thus improving OT efficiency.

This invention discloses a point cloud classification method. The method includes: acquiring a preset dataset comprising at least one point cloud; determining at least one boundary point based on all points in the point cloud; constructing a graph neural network based on the boundary point and all its neighboring points, and encoding the graph neural network to obtain an encoding vector; extracting features from all non-boundary points in the point cloud using the preset point cloud network to obtain a feature vector; and acquiring a preset classification network to classify the encoding vector and feature vector to obtain a classification result. This invention solves the problem of high computational cost caused by constructing a graph neural network based on all point cloud data by selecting boundary points, thus reducing the computational load. Selecting boundary points improves the prediction accuracy of boundary classification, thereby improving the accuracy of the classification results.

This invention relates to the field of artificial intelligence technology, specifically to a method for target object recognition. The method involves acquiring a video file and corresponding audio files; performing face detection on target objects in the video file to obtain target lip image sequences corresponding to each target object; inputting each audio file into a preset synchronization model to obtain synchronized lip-shape video files corresponding to each audio file; extracting synchronized lip image sequences from the synchronized lip-shape video files; and comparing the target lip image sequences and synchronized lip image sequences using a preset comparison model to obtain the identity recognition result of the target object. This invention is applied to target object identity recognition needs in financial or insurance businesses. By comparing the target lip image sequences and synchronized lip image sequences using a preset comparison model, the method achieves target object identity recognition through lip information comparison, improving the accuracy of target object recognition in financial or insurance businesses.

The present disclosure provides an object material determination method and device, a storage medium and a program product, relating to the technical field of communication, and used for determining the material of an object in an environment. The method comprises: acquiring a signal measurement report in a target environment; and determining the material of an object in the target environment based on the signal measurement report.

The invention relates to the field of tin soldering jigs, and provides a cooling fan circuit board fixing jig and a tin soldering device.The cooling fan circuit board fixing jig comprises a top plate, a bottom plate, a front fixing piece, a rear fixing piece and a hinge frame; the top plate is fixedly mounted on the hinge frame, and a plurality of welding holes for providing soldering tin are formed in the top plate; the bottom plate is hinged to the hinge frame; the front fixing piece is installed on the top face of the top plate, the rear fixing piece is installed on the side, away from the top plate, of the hinge frame, and a conduction groove is formed in the bottom plate. The circuit board is placed on the top plate, the bottom plate rotates along the hinge frame, the bottom plate and the rear fixing piece are staggered through the conduction groove, the bottom plate covers the circuit board to provide compression, the top plate and the bottom plate are turned over, and the circuit board is fixed to the bottom plate through the hinge frame. And the front fixing piece and the rear fixing piece are supported towards a placing surface required by welding. The method has the effect of improving the stability of the circuit board during tin soldering.

The application discloses a phased focusing ultrasonic treatment method and system, through relative time delay of radio frequency signals in different channels, the sound velocity at different positions in the target region can be accurately estimated, and then the relative time delay of radio frequency signals emitted by different array elements is determined based on the focal point position, and finally the radio frequency signals emitted by each array element are superimposed in phase at the focal point based on the time delay matrix, a high-energy focusing area is formed, the focal point is treated, compared with the treatment mode using a fixed sound velocity, the influence of different sound velocities of different positions of tissues on treatment is considered, so that the position of the treatment focal point can be accurately determined without increasing additional equipment, damage to non-target tissues is avoided, and the treatment effect is effectively improved.

This invention discloses a method, apparatus, device, and medium for music emotion recognition and its model training. The method includes an audio dataset comprising original audio data, emotion values, and classification results; determining extracted audio data based on the classification results, and performing data augmentation on the extracted audio data to obtain target audio data; extracting features from the target audio data to obtain an audio spectrogram; recognizing the audio spectrogram using a preset recognition model to obtain classification output results and regression output results; performing loss prediction based on the classification results, emotion values, classification output results, and regression output results to obtain the predicted loss value of the preset recognition model; and recording the preset recognition model as a music emotion recognition model when the predicted loss value reaches the convergence condition. This invention integrates the preset recognition model using classification output results and regression output results, improving the accuracy and robustness of the music emotion recognition model and increasing recognition efficiency.