7results about How to "Resolve overlap" patented technology

The application provides a kind of material curve image data automatic extraction system based on deep learning, establishes the mapping relationship of pixel space to data space by recognizing coordinate system in image through automatic coordinate axis detection and scale identification module, and uses multi-curve instance segmentation module to identify each data curve in the graph as an independent object instance to generate independent pixel-level mask of each curve, then uses sub-pixel level curve vectorization module to convert pixel mask into mathematical curve representation and automatically extracts curve data based on the mapping relationship of pixel space to data space, finally provides an interactive verification interface for users to quickly review and high-level correction of the fully automatic extraction result. The application decomposes chart data extraction task into a series of intelligent modules that cooperate with each other, realizes end-to-end automation through synergistic effect, fundamentally solves the problem of curve overlap and intersection, and improves the efficiency and convenience of user correction of extracted data.

The application discloses a kind of quantitative analysis methods of amorphous component in mixed material, belong to material analysis technical field.The present application aims at solving the problem that the amorphous content in complex multi-component system cannot be accurately determined in prior art.The method prepares amorphous content gradient standard sample containing internal standard, separates crystal state signal using X-ray diffraction full spectrum fitting technology, extracts crystallographic quantitative parameters of crystal state target component, and constructs linear calibration model of amorphous content, so as to realize inversion quantification of amorphous component in the sample to be measured.The present application uses external standard method combined with Rietveld refinement, without pure amorphous control product, can eliminate matrix effect and crystal form interference, especially suitable for high-precision monitoring and quality evaluation of amorphous content of API and excipient in pharmaceutical synthesis and preparation production.

The invention discloses a quantitative analysis method for amorphous components in a mixed material, and belongs to the technical field of material analysis. The invention aims to solve the problem that the amorphous content in a complex multi-component system is difficult to accurately measure in the prior art. The method comprises the following steps: preparing an amorphous content gradient standard sample containing an internal standard, separating a crystalline signal by using an X-ray diffraction full-spectrum fitting technology, extracting crystallographic quantization parameters of a crystalline target component, and constructing a linear calibration model of the crystallographic target component and the amorphous content, thereby realizing inversion quantification of the amorphous component in the sample to be detected. According to the method, an external standard method is combined with Rietveld refinement, the matrix effect and crystal form interference can be eliminated without a pure amorphous reference substance, and the method is particularly suitable for high-precision monitoring and quality evaluation of the amorphous content of API and auxiliary materials in medicine synthesis and preparation production.

This invention discloses an AI-based method, system, terminal, and medium for generating and intelligently arranging drawing frames. The method includes: exporting PNG images from DWG drawings; performing content recognition and inference on the PNG images based on a target detection model to output several rectangular bounding boxes, which are then mapped onto the DWG drawing to obtain several actual content rectangular areas covered by the rectangular bounding boxes. Based on these actual content rectangular areas and a preset drawing frame size standard data table, several target drawing frames are determined and automatically inserted into the DWG drawing. The inserted target drawing frames undergo avoidance and alignment optimization processing to achieve automatic generation and intelligent arrangement of target drawing frames. This invention solves the problems of overlapping and disordered arrangement of drawing frames by automatically identifying the content areas of the drawing, determining the target drawing frames, and performing optimization steps such as avoidance and alignment, thereby improving the efficiency and standardization of drawing output.

This invention provides a method and system for statistical analysis of photovoltaic power plant operation data. The method includes: dividing the photovoltaic modules into several clusters based on their installation area and series-parallel topology to identify the common data characteristics of each cluster; simultaneously performing hierarchical filtering on the raw data uploaded from each cluster to generate corresponding ordered data subsets; constructing a corresponding data statistics window and simultaneously constructing a corresponding terminal data association matrix; outputting preliminary statistical results based on the data statistics window; simultaneously performing reverse deduction based on the terminal data association matrix according to the operating physical mechanism of the photovoltaic power plant to generate a corresponding deduced data sequence; calculating the degree of fit between the preliminary statistical results and the deduced data sequence; and simultaneously integrating the preliminary statistical results into a corresponding target statistical report when the degree of fit meets preset requirements. This invention can accurately statistically analyze various types of data, thereby improving statistical efficiency.

The invention discloses a data processing method and device for a tax database, equipment and a medium, and relates to the technical field of data processing. The method is applied to a tax auditing system and comprises the steps that a to-be-audited table structure design document is acquired, and structured design elements are extracted through a large model analysis engine; based on a pre-constructed standard specification knowledge base and a pre-constructed auditing scheme knowledge base, auditing and judging the structured design elements through a rule inference engine, and generating and outputting an auditing report according to an auditing and judging result; wherein the standard specification knowledge base stores tax auditing standards in a vectorization manner and is associated with dimension tags; the auditing scheme knowledge base contains auditing schemes of different scenes with reference specifications and priorities; during auditing, multiple specifications at the same auditing point are compared according to priority vectors, a semantic model is called to analyze conflicts, and reasonable but non-compliant conflicts and compliant but non-reasonable conflicts are recognized. According to the technical scheme, the complex problems of multiple standards, multiple versions, semantic understanding and the like in the tax industry can be solved.