20results about How to "Reduce data processing" patented technology

The application provides a code modification method and device based on semantic update fragment generation. The code modification method comprises the following steps: generating a semantic update fragment and a first reconstruction code according to original code and modification description information; performing code modification verification on the semantic update fragment according to the code difference between the original code and the first reconstruction code; when the code modification verification is passed, generating a second reconstruction code by modifying the original code according to the semantic update fragment, and determining whether the code modification of the second code modification model is correct according to the code comparison result between the second reconstruction code and the first reconstruction code; taking the original code, the semantic update fragment and the first reconstruction code corresponding to the second code modification model with code modification errors as model training data to perform model training to obtain a target code modification model; and modifying the to-be-modified code by using the target code modification model to obtain a complete code. The application can reduce inference delay and improve code modification efficiency.

The application provides a workpiece tightening defect classification method, system, controller and storage medium, wherein the classification method comprises: acquiring a first tightening defect curve and preprocessing the first tightening defect curve; cutting the preprocessed first tightening defect curve based on a preset rule to obtain a target tightening defect curve; extracting time domain features in the target tightening defect curve; and inputting the time domain features into a plurality of pre-trained defect recognition models respectively to obtain recognition results, wherein the recognition results comprise a target defect type corresponding to the first tightening defect curve or a defect type that the first tightening defect curve belongs to is not determined. The application solves the problem in the prior art that workpiece tightening defect classification cannot identify new defect types, resulting in defect classification errors.

The application relates to a plane circle center point-based SolidWorks standard part automatic installation method for a parameter-free model, and belongs to the field of computer-aided design and three-dimensional mechanical design automation. The method first selects any part plane and any assembly hole on the part plane through a point selection mode; a sketch is created based on the geometric boundary of the part plane, and the coordinates of the sketch are determined according to the geometric boundary position information of the part plane; all assembly holes with the same hole feature on the part plane are automatically identified according to the extracted selected assembly hole feature, and corresponding sketch coordinates are established; sketch points are established for all sketch coordinates under the part plane; and the sketch-driven part array function is called, after manually assembling a standard part at any sketch point, the standard part assembly is automatically executed at all sketch points. The application can automatically batch install standard parts by using the sketch-driven part array function of an assembly body.

The present application relates to a rack beam detection method for a forklift, comprising: acquiring depth data collected by a depth camera, and converting the depth data into point clouds in a preset coordinate system; acquiring a mast lifting height of the forklift, and extracting target point clouds from the point clouds based on the mast lifting height; orthogonally projecting the target point clouds to a vertical plane along a forking direction to generate a two-dimensional occupancy grid image; counting the number of occupancy grids of each row in the height direction of the occupancy grid image to generate a one-dimensional height-density histogram; performing difference calculation on the height-density histogram, and traversing from bottom to top along the height direction, and determining the first position meeting a preset negative peak value condition as an upper edge height value of a to-be-detected rack beam; and outputting a detection value based on the upper edge height value of the to-be-detected rack beam. The present application also relates to a forklift, a computer storage medium and a computer program product.

The application relates to a high-speed small target extraction method using an infrared event stream, which obtains infrared event stream information by processing adjacent frames of images acquired by a high-frame-frequency infrared camera, and detects high-speed moving target information in the infrared event stream information by using the characteristic that the infrared event stream information is sensitive to moving targets. The original infrared images are subjected to frame extraction processing, the target position in the original image frame is located by using the detected moving target information, local target characteristics are extracted for processing, and the target is confirmed and recognized. The method avoids the problem that the calculation complexity is high when target detection is performed on the original high-frame-frequency infrared images, uses the obtained event frame image which only contains the moving target information of the coefficient, removes a large amount of redundant useless background and static information, reduces the calculation amount, improves the detection sensitivity of high-speed infrared moving small targets, simultaneously reduces the energy consumption of the system, and can be widely applied to infrared detection systems with limited processing resources.

The invention discloses a method for filtering webpage access based on a kernel driver, which belongs to the technical field of internet communication and comprises the following steps: step 1, a user inputs an access website for a user browser to generate a DNS (Domain Name Server) query request message; 2, judging whether a DNS query request message exists in a local DNS cache or not, if yes, obtaining an IP address for access, and if not, executing a step 3; and step 3, sending a query request to a DNS server, constructing a complete DNS query request network packet according to a network protocol standard, capturing all DNS query request network packets sent to the 53 port by a kernel driving program, and then analyzing target domain names of the DNS query request network packets through a DNS protocol. Centralized and automatic management and control are achieved, the system is particularly suitable for scenes such as machine rooms and classrooms needing unified network behavior management, and the operation and maintenance cost is greatly reduced.

This invention discloses a method for detecting paper tube fireworks, including shaping the paper tube fireworks, first photographic detection, and deformation of the outer perimeter. The deformation component squeezes or stretches the outer perimeter, causing the fuses inside the fireworks tube to move. A second photographic detection is then performed, followed by comprehensive data analysis. First, the paper tube fireworks, just assembled mechanically, are shaped to ensure a regular shape and accurate arrangement of all paper tubes during photographing. This allows for accurate capture of the fuses inside each individual tube, avoiding interference between tubes and significantly reducing the amount of data processing required. Second, after the first photograph, the outer perimeter is deformed, and a second photograph is taken. This deformation causes a slight shift in the two fuses inside each tube, and a second photograph is taken, causing misalignment of overlapping fuses and reducing the false positive rate.

This application provides a method, device, electronic device, and readable storage medium for distributing rewards in games. It adjusts the long and short game scores of a target player based on their game interaction behavior. When the short score settlement period meets the score settlement conditions, short-term rewards are distributed to the target player based on the target score interval to which their short game score belongs in the historical score interval snapshot. When the long score settlement period meets the score settlement conditions, long-term rewards corresponding to the target ranking are distributed to the target player based on their target ranking. By using the same game score adjustment strategy for both the long and short score settlement periods to calculate game scores, and distributing rewards based on historical score interval snapshots during the short score settlement period, the amount of data processed by the server at any given time can be effectively reduced, thus improving reward distribution efficiency.

The invention provides a laser-assisted heating metal beryllium plastic cutting control method based on a chip form. The laser-assisted heating metal beryllium plastic cutting control method comprises the following steps that the real-time dust concentration in the laser-assisted heating metal beryllium plastic cutting process is obtained in real time; identifying a real-time cutting form by using the real-time dust concentration based on a corresponding relation between the dust concentration and the cutting form of a calibration database; and according to the real-time cutting form, laser energy input control is adjusted through a fuzzy PID control algorithm. The plasticity of cuttings is remarkably improved by maintaining the plastic cutting state, it is guaranteed that generation of powder cuttings is reduced, and the safety of the machining environment and machining personnel is guaranteed; the dust concentration sensor has the remarkable advantages of low cost, simple arrangement and small data processing amount, and is beneficial to popularization and application of the technology; and finally, laser energy input parameters are dynamically optimized through a fuzzy PID control algorithm, so that the system can automatically adapt to material characteristic fluctuation, and the machining stability is improved.

The film and television script extraction method and device, the storage medium and the computer device provided by the application, after the audio and video file of the film and television is split into a video file and an audio file, the video file is subjected to feature recognition to obtain a subtitle text, a speaker face information and a video understanding text; and the audio file is subjected to speech understanding to obtain a speech transcription text and a speech understanding text; wherein the speech transcription text can be corrected into a standard transcription text with higher accuracy through the subtitle text. Therefore, based on the speaker face information, the standard transcription text and the dialogue segment of each speaker in the audio and video file are aligned, the speaker information with accurate segmentation and coherent semantics can be obtained, then the script information is constructed by combining the character profile text generated by the profile analysis of the speaker based on the video, the speech understanding text and the speaker information, the script information can cover the related feature description of the character on the basis of the dialogue content, thereby enriching the content and depth of the script.

The application provides a parking space determination method and device, a vehicle and a storage medium. The method obtains point cloud data and image data collected by a target vehicle; at least one parking space candidate frame is determined from the image data, and ground point cloud is selected from the point cloud data; image data corresponding to each parking space candidate frame and corresponding ground point cloud are fused in features to obtain fusion parking space features corresponding to each parking space candidate frame, and the target parking space candidate frame is determined based on the fusion parking space features. By using the parking space determination method provided by the application, the point cloud data and the image data are fused in features, the ground point cloud and the image data are mutually supplemented, the robustness of the fusion parking space features is improved, the influence of the environment, data noise, deformation and the like on the fusion parking space features is reduced, and the accuracy of parking space detection is improved. Meanwhile, by selecting the ground point cloud, the data processing amount is greatly reduced, and the efficiency of parking space detection is improved.

The application discloses a resonator gyroscope temperature compensation method based on stepwise regression and a Gaussian process, and comprises the following steps: screening significant independent variables from preset independent variables through a stepwise regression model; constructing a sample set based on the significant independent variables, training a temperature compensation model; collecting significant variables at a current moment, estimating a zero bias value of the gyroscope through the temperature compensation model; and correcting an output angular velocity of the gyroscope according to the zero bias value. The technical problem of how to effectively suppress the temperature influence on the output zero bias of the hemispherical resonator gyroscope is solved, the zero bias stability of the output result is improved, and the robustness of the temperature compensation model is enhanced.

This specification provides a method, apparatus, and electronic device for predicting the state of charge (SOC) of flow batteries. Based on this method, the operating parameters of the target flow battery for the current time period can be obtained first. Then, according to preset feature processing rules, the key feature sequence of the target flow battery for the current time period is determined using these operating parameters. Finally, a preset SOC prediction model, including at least an improved TCN network and an improved Informer network, is used to process the key feature sequence of the target flow battery for the current time period to determine its SOC. This method is well-suited for flow battery detection scenarios, simultaneously considering both long-term time-series trends and short-term dynamic characteristics during flow battery operation, effectively reducing the model's data processing load, and thus enabling efficient and accurate determination of the target flow battery's SOC.

This invention discloses a battery fault detection method, system, device, and medium based on multivariate information entropy, relating to the field of battery fault detection technology for electrochemical energy storage power stations. The method includes: using the highest single-cell temperature within a battery module as a representative temperature, calculating the temperature change of each module and the comprehensive average and sample standard deviation of all module temperature changes to construct an adaptive confidence interval; identifying modules whose temperature changes do not fall within this interval as target faulty battery modules; then collecting voltage and temperature time-series data of all cells within the target module to calculate the multivariate information entropy; and selecting candidate faulty cells based on the multivariate information entropy of all cells. Finally, calculating the local relative entropy deviation of the candidate cells and comparing it with the upper limit of the statistical distribution of deviation values ​​for all cells; if the deviation exceeds the upper limit, it is determined to be a thermal runaway fault. This fault detection method can effectively reduce the computational burden, achieve threshold-free adaptive detection, and thus accurately locate battery faults.

The application relates to an antenna phase center calibration method and system based on minimum PCV deviation constraints, which comprises the following steps: determining the equivalent conversion relationship of a phase model according to the coupling of PCO and PCV; determining the optimal constraint condition; converting the original model into an equivalent phase model according to the optimal constraint condition; constructing virtual observation values for simulation positioning test, which comprises the following steps: constructing virtual observation values by using a first model in a virtual coordinate system, correcting by using another model, then using a least square method for single point positioning calculation to calculate the positioning error in the north-east-high direction; verifying the coordinate estimation of the simulation positioning test and the difference between the converted phase model PCO with the constraint condition, and outputting the antenna phase center calibration result. The application has the advantages that on the basis of considering the PCO / PCV coupling, additional constraint conditions are added to convert the compared phase models, the workload of phase model comparison is reduced, and the influence of the phase model difference on positioning is more directly reflected.

The present disclosure relates to an image processing method and device, electronic equipment and storage medium, comprising: acquiring a plurality of images collected by a plurality of image acquisition modules in the electronic equipment; wherein the field of view of different image acquisition modules is different; in the image preview process, determining a first image from the plurality of images according to an editing operation acting on the display screen of the electronic equipment; cutting off the part of the first image that has no overlap with the content of the editing range acted on by the editing operation to obtain a first image region, and displaying the first image region; in the image storage process after the end of the image preview, determining a second image from the plurality of images according to the editing operation acting on the display screen of the electronic equipment; wherein the image acquisition module of the second image is different from the image acquisition module of the first image region; cutting off the part of the second image that has no overlap with the content of the editing range to obtain a second image region; and fusing the first image region and the second image region to obtain a cropped target image.

This invention relates to the field of transportation monitoring technology and discloses a method for synchronous acquisition of transient waveforms in a distributed monitoring terminal for transformer transportation impacts. The key technical points are: deployment of monitoring terminals, wireless time synchronization, mechanical wave compensation, transient waveform acquisition and uploading, and impact analysis; adopting an IoT synchronization method combining LoRa wireless communication time synchronization and mechanical wave compensation, the method involves the slave device to acquire impact waveforms in segments and send impact messages exceeding the threshold in real time, and the slave device completes signal acquisition, filtering, and data processing before uploading to the host, thereby realizing synchronous acquisition of transient waveforms in a distributed monitoring terminal for transformer transportation impacts.

The application provides a target detection and early warning method, device, system and medium based on data fusion. The method comprises the following steps: acquiring point cloud data and infrared images of a target detection object synchronously, fusing the point cloud data and the infrared images of the target object, obtaining point cloud image fusion data, and then using a three-dimensional neural network model to detect the point cloud image fusion data to obtain type information and three-dimensional information of the target detection object. The target detection method provided by the application can realize accurate three-dimensional detection of the target detection object in various application scenarios, has relatively low dependence on the sensing performance of an infrared acquisition device and a laser radar, has a certain error correction capability for target mis-detection and missed detection, has relatively small data processing amount, and has low demand for the computing power of a target detection device.

The invention provides an authentication data processing method and device for a satellite short message and electronic equipment. The terminal sends application data about satellite service authentication parameters to the authentication management system through the satellite gateway; after receiving application reply data generated by the authorization management system based on the application data verification, the terminal verifies the application reply data; when the application reply data passes verification, the terminal sends corresponding confirmation data to the authentication management system through the satellite gateway; and after receiving confirmation reply data sent by the authorization management system after verification of the confirmation data is passed, the terminal obtains an effective satellite service authentication parameter based on the confirmation reply data. By introducing and using the chip identifier of the baseband chip and multi-round interactive verification, authentication verification of satellite communication services of related satellites such as Beidou satellites and the like can be efficiently and safely realized with a small data processing amount, and the data information security during satellite communication is protected.

The application discloses a kind of based on video analysis's wisdom campus security control method and system, it is related to campus safety management technical field, method includes the monitoring video of each camera acquisition, generates corresponding monitoring image sequence;Determine whether each monitoring image in monitoring image sequence conforms to set normal behavior baseline;The based on video analysis's wisdom campus security control method and system of this application, by identifying the abnormal behavior of monitoring video first, after identifying abnormal behavior, again, the video image in the space-time vicinity of abnormal behavior is analyzed in depth, judge whether abnormal event occurs and needs to be reminded, improve the precision of alarm, while avoiding to all video image is analyzed in depth, reduce the data processing amount, guarantee the efficiency of analysis.