9results about How to "Improve data analysis efficiency" patented technology

The invention discloses a cigarette characteristic data processing method and system, and the method comprises the steps: determining a sample cigarette meeting a target screening condition in a cigarette identification database, and obtaining the cigarette characteristic data related to the sample cigarette meeting the target screening condition in the cigarette identification database, the cigarette characteristic data comprises quality specifications, packaging machine types, packaging steel seal numbers, logistics codes and case numbers; performing data cleaning on the cigarette feature data to obtain cleaned cigarette feature data; statistical processing is conducted on the characteristic data of the cleaned cigarettes from multiple statistical dimensions, statistical results of the characteristic data of the cleaned cigarettes in the multiple statistical dimensions are obtained, and the multiple statistical dimensions comprise the month, the case number, the product specification, the logistics code, the packaging steel seal number and the packaging machine type; and in response to the obtained data analysis instruction, outputting a target statistical result matched with the data analysis instruction and the cleaned cigarette feature data associated with the target statistical result.

The application discloses a method and system for rapid screening and analysis of homologous genes, and relates to the technical field of biological information and molecular breeding. The method comprises the following steps: obtaining multi-source input files; the multi-source input files comprise a reference genome file, a sample genome file, a reference annotation file and a target gene list file; pre-processing the multi-source input files to obtain pre-processed multi-source input files; the pre-processing comprises standardization processing, integrity detection, format consistency detection, repeated record detection and sequence file information improvement; performing sequence alignment, variation site extraction and variation marking on the pre-processed multi-source input files to obtain gene screening analysis results; and performing visual processing and data management on the gene screening analysis results. The application can reduce manual intervention, improve the efficiency and consistency of data analysis, and realize rapid standardized processing and intuitive result display of genomic variation information.

The invention relates to a QEC (Quality Error Correction) maintenance safety supervision method and system based on AR (Augmented Reality). According to the method, after a maintenance general task is generated, the maintenance general task is decomposed into a plurality of sub-tasks and sent to pre-obtained online AR equipment, and a maintenance piece where each sub-task is located and a target model are obtained; obtaining an associated sub-task set according to the maintenance piece associated sub-tasks; when the current sub-task is executed, acquiring a marked sub-task from the associated sub-task set of the current sub-task; acquiring a real-time model of a maintenance piece where the marked sub-task is located, and executing the next sub-task if the real-time model meets a first preset condition before and after the current sub-task is executed; if the real-time models of the maintenance pieces where all the sub-tasks are located in the current associated sub-task set meet a second preset condition, the associated sub-task set is qualified; and when the completion time of all the sub-tasks and the total task real-time model meet a third preset condition, the maintenance total task is qualified. Compared with the prior art, the method has the advantages of improving data analysis efficiency and accuracy in QEC maintenance work and the like.

The application discloses a large language model training method based on mortise and tenon building drawing and text alignment, relates to the technical field of model training, and comprises the following steps: acquiring a mortise and tenon structure library and a conventional structure library; acquiring structure characteristic parameters of mortise and tenon structures by using a structure disassembly analysis method; acquiring structure conventional parameters of the mortise and tenon structures by using a conventional correlation method; constructing a mortise and tenon text training method, and training a large language model by using the mortise and tenon text training method; in the aspect of mortise and tenon recognition and discrimination, the application lacks an analysis method for point feature and geometric position constraint of mortise and tenon structures, cannot accurately recognize different mortise and tenon structures and judge the positions of the mortise and tenon structures, and thus problems of recognition confusion and text annotation errors and omissions exist when recognizing mortise and tenon in drawings.

The application discloses a method, device, computer readable storage medium and program product for multi-source streaming data analysis, belonging to the field of computer science and technology, and aims to solve the problems of the existing aviation test data processing system, such as real-time and offline processing being split, protocol expansion being difficult, large file analysis efficiency being low, high-concurrent processing being unreliable and system maintenance being complex. The method processes real-time and offline data through a unified adaptive analysis module, cuts data packets based on a frame header characteristic code, a length field and a check code, extracts a message ID and looks up a mapping table, calls a template function to analyze to a data object, and then converts to a business object through a static adaptive function to complete analysis. The method realizes technical unification of online and offline data processing, has strong protocol adaptive and expansion capabilities, significantly improves data processing performance, and has the characteristics of high system reliability and good maintainability.

This application relates to the field of data processing technology, and discloses a ChatBI data processing method, system, device, and medium. The ChatBI data processing method includes: acquiring metadata from multi-source heterogeneous data sources, and generating semantically dense vectors and keyword sparse vectors to construct a target vector library, while simultaneously generating the connection configuration required by the database query engine. When a natural language query request is received, semantic retrieval based on semantically dense vectors and keyword retrieval based on keyword sparse vectors are performed in the target vector library to determine the target metadata matching the request. Based on the determined target metadata, a corresponding target database query statement is generated, and the statement is sent to the database query engine with the connection configuration loaded for execution to obtain the query result. This application solves the technical problems of low accuracy in natural language understanding and data query matching, and difficulties in cross-source execution when facing multi-source heterogeneous data.

This invention belongs to the field of image processing and visual measurement technology, and discloses a contour extraction method for dynamic image sequences. Addressing the shortcomings of traditional frame-by-frame contour extraction methods, such as low efficiency, poor robustness, and high manual costs, this invention obtains the refractive index-corrected inner-outer diameter ratio through pre-static calibration. After extracting the baseline contour and pixel-physical conversion coefficients in the first frame, an asymmetric dynamic search strategy is used to adaptively batch extract contours from subsequent frames. After gap interpolation correction, the physical size contour and visualization results are output. This method can be widely applied to image analysis of dynamic processes of rising / falling liquid levels within capillaries, significantly reducing processing time and labor costs.

The invention discloses a day-ahead unit start-stop reason analysis method and system and terminal equipment, and the method comprises the steps: screening thermal power units in a first state according to a power grid topological structure, and obtaining a first unit set; the first unit set is divided according to the operation state, and an operation unit set and a shutdown unit set are obtained; on the basis of the acquired clearing data and unit data, performing start-stop state judgment on the running unit set, and outputting a start-stop unit number of the running unit set; on the basis of the acquired clearing data and unit data, performing start-stop state judgment on the shut-down unit set, and outputting start-stop unit numbers of the shut-down unit set; and detecting whether a power plant corresponding to the start-stop unit number is changed or not to obtain a unit start-stop reason. According to the method, the starting and stopping units in the unit combination are systematically analyzed to obtain the accurate starting and stopping reasons of the units, so that the production efficiency of a power plant and the operation stability of a power grid are improved.

The invention discloses an ultra-thin coal seam rock burst risk real-time monitoring method based on the D-S evidence theory. The method comprises the steps that rock mass mechanical response data information is collected in real time through multi-source mechanical response collaborative sensing equipment; comprehensively evaluating the rock mass impact risk by adopting a comprehensive index analysis method and a bending energy index method; based on the roof separation layer displacement information and the anchor rod stress information, a data driving model is adopted to evaluate the rock mass impact risk; comprehensively evaluating the rock mass impact risk based on a rock mass impact risk evaluation result by adopting a D-S evidence theory; and building an early warning cloud platform for monitoring the rock burst risk of the ultra-thin coal seam in real time by utilizing cloud computing and edge computing modes, wherein the early warning cloud platform is used for querying the impact risk evaluation result in real time. According to the method, impact risk evaluation methods based on an experience-driven model and a data-driven model are mutually fused by adopting a D-S evidence theory, so that the problems of early warning information conflict and the like existing in a single-index threshold model are effectively avoided.