4results about How to "Realize automatic synchronization" patented technology

This invention belongs to the field of spectral data processing technology, specifically a spectral data processing system and method based on in-situ data sensing and intelligent analysis. This invention employs in-situ optical imaging, absorption spectroscopy, fluorescence spectroscopy, and PL mapping to acquire real-time three-dimensional spectral data of time, wavelength, and intensity for real-time monitoring of material crystallization, defects, and luminescence properties. It uses an automatic invalid value detection and cleaning algorithm to address data quality issues; it extracts peak position and half-peak width (WHM) characteristic parameters from the spectral data using peak position extraction and WHM calculation methods; it uses a nonlinear optimization algorithm to perform multi-peak Gaussian fitting on the spectral data; and it employs a signal-slot mechanism to achieve real-time synchronization of data presentation and fitting analysis, forming a complete closed loop of in-situ testing, data sensing, processing, analysis, synchronization, and export. This invention achieves real-time acquisition, efficient processing, accurate analysis, and automatic synchronization of spectral data, providing technical support for standardized processing and traceable analysis of spectral data.

The present application relates to the technical field of transformer processing, and more particularly to a transformer assembly and a transformer structure convenient to assemble; the transformer structure comprises a winding and a core; further comprising a workbench for assembling the winding and the core in the transformer structure, a hanging bracket is arranged above the workbench, the hanging bracket is connected with an external crane, a plurality of clamps arranged in an array are installed below the hanging bracket, the clamps are used for clamping and fixing the winding, a plurality of support frames are installed above the workbench, a positioning plate is slidably arranged in each support frame, the positioning plate is used for moving from the outside to the side close to the winding during the falling process of the winding, correcting the winding, and guiding the winding to accurately fall on the predetermined mounting position on the core.

This application discloses a schedule synchronization method, apparatus, device, and storage medium, applied to an organizational social application running on a first terminal. When a first object sends a first email to a second object through a first email application running on the first terminal to inform them of participation in a first meeting, the first email application creates a new meeting schedule for the first meeting in a first schedule application. The method includes: receiving first email change information pushed by a server corresponding to the first email application; synchronizing the first email in the first email application to a second email application in the organizational social application using the first email change information; extracting schedule information from the first email in the second email application to obtain the schedule information of the first meeting schedule; and then using the schedule information to synchronize the first meeting schedule in the first schedule application to the second schedule application in the organizational social application, thereby achieving seamless synchronization of schedules between different applications and enabling unified management of schedules within the organizational social application.

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.