8results about How to "Improve Analytical Processing Efficiency" patented technology

The application provides a converter valve area short-circuit fault positioning method, device, equipment and medium, the method comprises the following steps: dividing the converter valve fault into eight typical valve area short-circuit faults; RTDS simulation analysis, according to the different converter protection action results, dividing into three types of protection actions, giving the typical fault characteristic quantity of the valve difference protection action for positioning the valve area fault and the eight typical valve area short-circuit quick criterion; according to whether the actual converter protection action occurs in the rectifying station or the inverting station, confirming the valve area short-circuit fault occurring station; according to the converter protection action event of the monitoring background, confirming the converter protection action type and the valve area fault converter bridge; calling the built-in fault recording of the DC control protection, analyzing the converter protection action waveform, analyzing the fault characteristics of the current waveform of the valve side of the converter bridge and the outlet current waveform of the DC side, positioning the valve area short-circuit fault point according to the typical fault characteristic quantity of the valve difference protection action and the eight typical valve area short-circuit quick criterion; and has the advantages of fast positioning speed and simple analysis method.

The invention discloses a video image intelligent analysis method and system based on a big data technology. The method specifically comprises the following steps: S1, constructing a framework; s2, performing time sequence arrangement; s3, target screening; s4, correlation analysis; the invention relates to the technical field of video image analysis. According to the video image intelligent analysis method and system based on the big data technology, after a main target and an associated target are determined in advance, a corresponding image recognition model is built, and after frame extraction is carried out on video data under a time sequence, a target analysis frame with main target information and associated target information is obtained; through a video recombination mode, convenient and efficient analysis of the association characteristics of the main target and the association target is realized, the analysis processing efficiency of the video data is effectively improved, user-defined recombination of the association video can be carried out, the convenience is good, and the display effect is more flexible and comprehensive.

The present application is applicable to the field of data monitoring technology, and provides a data monitoring method, device, terminal device and storage medium. In the embodiment of the present application, the message data of the monitored object is obtained, the message data is split and processed to obtain the message indicators of the monitored object; the message indicators are grouped and processed to obtain at least one indicator group; the at least one indicator group is analyzed and processed to obtain the analysis result of the at least one indicator group; the current status of the monitored object is determined according to the analysis result of the at least one indicator group, thereby improving the work efficiency of the later development and maintenance of the SMS monitoring work.

The present invention relates to the field of artificial intelligence technology, and in particular to a judicial data processing system based on artificial intelligence, including an information acquisition module for acquiring judicial data and data sources; a data construction module for constructing a judicial array according to the judicial data and data sources; a data extraction module for extracting data from judicial data to obtain structural data and content labels of the judicial data, and also for analyzing structural vectors and content vectors according to structural data, content labels and judicial arrays; a data verification module for analyzing data integrity and source credibility; a data training module for training an initial judicial model; a feedback acquisition module for acquiring user feedback information on the initial judicial model; and a model reinforcement module for reinforcing the initial judicial model according to the feedback information to obtain a perfect judicial model. The present invention realizes modeling processing of judicial data.

The invention discloses a non-model species transcriptome sequencing result analysis method based on a high-throughput technology. The non-model species transcriptome sequencing result analysis method specifically comprises the following steps: (1) performing quality control on high-throughput sequencing data by using Fastp software; (2) carrying out De novo assembly on the transcriptome by using Trinity software; (3) removing redundancy of the assembled sequence by using CD-HIT software; (4) carrying out integrity evaluation on the assembled non-redundant transcript by using BUSCO software; and (5) carrying out bioinformatics analysis on an assembly result, wherein the bioinformatics analysis comprises gene function annotation, CDS prediction, SSR analysis and transcription factor identification. According to the method, a comprehensive and perfect process analysis method is formed through the steps, and effective reference is provided for analysis of non-model species transcriptome sequencing results.

The invention belongs to the technical field of aircraft overall design technology flight load, and relates to a vector similarity-based pressure test dead pixel data correction method. In the wind tunnel pressure measurement test process, according to the pressure distribution of adjacent points around the pressure measurement defective pixel and the profile, the working condition most similar to the test data in the reference data can be searched based on the existing reference data, and the pressure data of the position where the pressure measurement defective pixel is located can be automatically predicted and restored. Compared with a manual restoration mode, the method has the advantages that the data analysis and processing efficiency is greatly improved, the manual workload is reduced, and the problem that the data result is unstable due to the fact that the proportion of self experience in manual restoration is too large is solved; and compared with a linear interpolation mode, the reasonability and accuracy of data restoration are improved. Therefore, the method improves the rapid data processing capability in the pressure measurement wind tunnel test process.

The invention provides a converged communication video stream processing method and device based on edge calculation, and the method comprises the steps: carrying out the scene switching detection of each frame of image in a video stream, and if the scene switching is detected, extracting the image, and determining the image as a candidate image. If scene switching is not detected at a preset time interval, importance evaluation is carried out on the image, and if an evaluation score is greater than a first preset threshold value and the number of image frames extracted in a time period corresponding to the preset time interval does not reach a second preset threshold value, the image is extracted and determined as a candidate image. After scene switching detection of each frame of image is completed, the optimal frame of image is selected from the candidate images and sent to the server to determine feedback information, so that the efficiency and accuracy of video stream processing can be improved. And the processing process is completed through the converged communication platform, and the terminal equipment only needs to upload the video stream to the converged communication platform, so that the efficiency and the quality of video stream processing can be improved while the intelligent cost is maintained.

Embodiments of the present invention provide a log processing method, device and storage medium, which relate to the field of data processing technology. The log processing method provided by the present embodiment obtains an original log, splits and reorganizes the original log according to a preset delimiter, and generates multiple single label information; queries the multiple single label information according to preset dimension information to obtain a query result, and the query result includes the number of the single label information corresponding to the dimension information. The original log is split and reorganized to form multiple single label information, and multiple one-to-many data types are converted into multiple one-to-one data types, which simplifies the data type. When performing a specific analysis on the user log, it can be directly queried and sorted according to the set dimension, which helps to improve the efficiency of data processing and analysis.