3results about How to "Keep properly" patented technology

This invention relates to the field of cloud databases and discloses a method for incremental synchronization of health data based on an intelligent cloud database. The method includes: collecting change data from multiple health data sources and generating candidate incremental records; matching the candidate incremental records with individual identifiers, event identifiers, data domain identifiers, and event time windows according to the health master index mapping rules to construct health event synchronization units; determining the target synchronization granularity based on the category of changed fields, and determining release conditions by combining the arrival status of the master record, the arrival status of the result record, the arrival status of the audit record, the arrival status of the signature record, and the authorization status; generating a structured incremental synchronization view for the corresponding target end and writing it to the intelligent cloud database when the release conditions are met; and performing compensation processing based on the synchronization unit identifier, the previous version identifier, and the synchronization level of the target end when supplementation, correction, revocation, authorization withdrawal, or health master index merging is detected.

This invention discloses a lightweight image super-resolution reconstruction method, system, and storage medium, relating to the field of image processing technology. Specifically, it includes: acquiring high-resolution and low-resolution images of the target as training sample pairs; constructing a lightweight image super-resolution reconstruction model comprising a shallow feature extraction module, a deep feature extraction module, a multi-layer feature fusion module, and an image reconstruction module. The shallow feature extraction module performs shallow processing on the low-resolution image; the deep feature extraction module consists of multiple cascaded enhanced separable residual feature refinement blocks, extracting shallow features to obtain multiple deep features; the multi-layer feature fusion module is used to obtain fused features; and the image reconstruction module is used to output the high-resolution image. The trained model is used to reconstruct the low-resolution image to be processed. This invention has a simple network structure and achieves accurate reconstruction of image texture and details using only a low number of parameters and computational cost.

This invention discloses a raw material pretreatment method for zone melting purification of high-purity aluminum, belonging to the field of non-ferrous metal refining technology. The pretreatment method includes alkaline washing, acid neutralization, cleaning and drying, and vacuum-protected loading steps. High-purity aluminum raw material is immersed in a 5-8% sodium hydroxide aqueous solution at room temperature for 5-30 seconds, and removed when bubbles begin to form on the substrate. The alkaline-washed aluminum material is then immersed in an 8-12% nitric acid or acetic acid aqueous solution for neutralization for 10-20 seconds. After acid neutralization, the aluminum material is cleaned and dried, then placed in a zone melting furnace. A vacuum is drawn, and inert protective gas is introduced to atmospheric pressure or a slightly positive pressure. This method thoroughly removes oxide scale from the surface and bonding surfaces of the aluminum material, effectively preventing secondary oxidation during post-treatment transfer and loading. It creates continuous and unobstructed molten pool propagation conditions for the zone melting process, ensuring the smooth progress of the purification process and the high quality of the final product. This method is particularly suitable for eliminating oxide scale on the bonding surfaces of segmented aluminum rods to ensure the smooth operation of the zone melting process.