6results about How to "Realize automatic adaptation" patented technology

This invention discloses a fully automated atmospheric and topographic radiometric correction method and device for high-resolution remote sensing imagery, belonging to the field of remote sensing science and technology. The method includes: constructing a fully automated batch processing framework; developing an atmospheric correction module based on the 6S radiative transfer model to automatically retrieve atmospheric parameters and eliminate their influence; and developing a topographic radiometric correction module based on the digital elevation model (DEM) and VECA model to compensate for radiometric distortion caused by complex terrain. The key innovation lies in constructing a joint correction framework and integrating a geomorphic feature recognition algorithm, which can automatically identify and select to execute either single atmospheric correction or a combined atmospheric-topographic correction process based on the degree of topographic relief in the image. This invention achieves fully automated batch processing from data input to result output, requiring no manual intervention, significantly improving the processing efficiency, intelligence level, and adaptability to different terrain scenarios in high-resolution image radiometric correction.

This invention relates to the field of intelligent monitoring and fault diagnosis technology for power equipment, specifically a cloud-based intelligent diagnostic system for switchgear status. It includes units for multi-source topology mapping, physical constraint embedding, global state reconstruction, residual decoupling diagnosis, and adaptive parameter correction. The system maps sensor data into a dynamic graph structure and generates constraint vectors using physical conservation logic. Its core is to correct the state based on physical constraints to reconstruct the state graph, locate faults by calculating the residual sequence between measured data and the reconstructed graph, and establish feedback closed-loop correction parameters. This invention achieves zero-sample diagnosis without relying on a large number of samples, solving the problem of pure data-driven solutions failing due to a lack of fault samples.

The application relates to the technical field of electronic signatures, and provides a signature position determination method, device and equipment and a storage medium. The method comprises the following steps: obtaining a target file to be signed and a signature user who needs to perform signature on the target file; obtaining a target template file corresponding to the target file according to the file type of the target file and the signature user; identifying a historical signature position in the target template file, and calculating a signature position of the signature user in the target file according to the historical signature position. The signature position determination method provided by the application realizes automatic adaptation of the signature position based on the historical signature position of the template file, so that manual operation of dragging is not needed, the signature efficiency is improved, meanwhile, through automatic adaptation of the signature position, when multiple users need to perform signature on the same file and / or the same user needs to perform multiple times of signature, the wrong signature and the missed signature can be reduced.

This application discloses a method and system for inspecting the surface quality of electroplated finished products. The method includes acquiring information about the electroplated finished product to be tested, including product attribute information and actual electroplating process parameters; determining image acquisition parameters based on the product attribute information and actual electroplating process parameters through a preset parameter mapping table; acquiring an image of the electroplated finished product based on the image acquisition parameters; extracting multi-dimensional optical features from the electroplated finished product surface image; fusing the actual electroplating process parameters with the multi-dimensional optical features to generate process-aware fusion features; and obtaining the surface quality inspection result of the electroplated finished product based on the process-aware fusion features through a preset defect detection model. This application effectively improves the accuracy of electroplated surface quality inspection by using adaptive imaging and fusing electroplating process information.

The utility model discloses a high accuracy circuit board zinc spraying processing device, including the processing station and setting in the processing station bottom's support box, still include preheating box, the top of preheating box is installed in infrared preheating module in parallel, spray coating box body, spray coating box body sets up the processing station top of preheating box one side, just the top of spray coating box body is installed electric telescopic handle, and the output of electric telescopic handle extends to the inside of spray coating box body and is connected with the top of movable support plate shield, just the movable support plate top of shield inboard evenly installs micro - electric telescopic handle, and the output of every micro - electric telescopic handle all extends to the below of movable support plate and is connected with the spray head. The utility model accurate control micro - electric telescopic handle, drive the spray head adjustment height, ensure that every spray head and the distance of the surface of the circuit board to be processed are consistent. Effectively solved the problem of uneven spraying caused by the uneven surface of the circuit board, improved the spraying quality and precision.

The application discloses a network packet control method and device based on three-level labels and a storage medium, and relates to the technical cross field of cloud computing and power network. The method comprises the following steps: acquiring flow direction information and application layer load of a network packet; generating a first label according to the flow direction information and a preset access control strategy; obtaining security behavior information of the network packet by detecting the application layer load, and then generating a second label according to the security behavior information; querying and matching a corresponding business scenario from a preset business knowledge graph according to the flow direction information and / or the security behavior information, and generating a third label according to the matched business scenario; and determining a network control strategy and executing the network control strategy based on the collaborative analysis results of the first label, the second label and the third label. The application solves the technical problems that the network and the power business scenario are disconnected in the traditional IAAS cloud architecture, and the network strategy cannot be dynamically adapted according to the business demand.