5results about How to "Efficient organization" patented technology

The application discloses a bearing retainer with slot type through cavities, each cross beam of the bearing retainer is provided with two slot type through cavities which are distributed along the radial direction of the retainer body; one slot type through cavity is used for connecting the converging area on one side of the cross beam with the diverging area on the other side, and the other slot type through cavity is used for connecting the diverging area on one side of the cross beam with the converging area on the other side. The bearing retainer can realize the stable lubricating oil flow self-enhancement effect near the friction surface through the slot type through cavities, effectively reduces the extrusion flow and the oil film cavitation degree near the friction surface between the rolling body and the retainer, makes the lubricating oil near the friction surface more efficient, reduces the friction resistance and the wear condition, improves the heat dissipation capacity of the bearing, and collects the bearing abrasion through the slot type through cavities, avoids the abrasion from entering the contact area of the friction surface in the flowing process, and makes the bearing appear more serious wear problems.

The invention discloses a multi-modal data deep fusion method, system and device and a medium, and the method comprises the steps: obtaining the multi-source fault associated data of a power distribution network, and verifying and unifying space-time labels; constructing a space-time grid coding system, and forming an index structure containing time, space and data source identifiers; key features such as temperature change rate and vibration frequency are extracted, and initialization classification is carried out; feature matching of fault features and grid attributes is realized by dynamically adjusting grids and weights; and through normalizing multi-modal data, reconstructing spatial-temporal distribution, evaluating a fusion effect, and outputting a deep fusion result. According to the method, the deep data fusion effect is remarkably improved, powerful support is provided for fault prediction and health management of the power distribution network, and the reliability and operation efficiency of the power grid are remarkably improved.

The utility model relates to splicing processor technical field especially for a kind of for 8 in 9 out splicing screen and splicing processor, including splicing processor ontology and splicing screen ontology, splicing screen ontology right side is fixedly connected with operating assembly, operating assembly inboard is equipped with arrangement component, arrangement component inboard is equipped with connecting line, operating assembly includes fixed shell, and the accommodation recess is established in fixed shell inboard, and fixed shell inboard is rotatably connected with worm, and arrangement component includes built-in rotating roller, and built-in rotating roller inboard is fixedly connected with turbine, and turbine side is fixedly connected with storage wheel, and storage wheel inboard is equipped with the insertion recess, and the insertion recess right side is fixedly connected with spring telescopic link, and spring telescopic link left side is fixedly connected with hardboard, in the utility model, device can efficiently arrange the multiple lines between splicing screen and processor, and it is quickly and orderly stored, reduces arrangement difficulty, improves management efficiency, makes line firm and neat, enhances system aesthetic property.

The application discloses a point cloud data processing method, device and equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: obtaining user point cloud data to be processed, and creating an octree for the point cloud data to be processed; determining an initial observation view angle of the point cloud data to be processed according to the octree, and generating an initial rendering view of the point cloud data to be processed according to the initial observation view angle; generating a current rendering view of the user, determining a leaf node to be loaded according to the current rendering view; determining a leaf node to be rendered, and determining a rendering priority; asynchronously acquiring data points and performing concurrent decoding, creating a geometric object, rendering the geometric object according to the rendering priority, and obtaining visualized point cloud data; generating a directional bounding box of the user according to a point cloud segmentation request, marking a segmentation object, and processing the visualized point cloud data according to the segmentation object. The application provides a comprehensive solution of point cloud data with asynchronous loading, real-time rendering and accurate segmentation.

The invention relates to a data management method and device, a storage medium and a computer program product. The data management method comprises the steps that a process tree structure is adopted to store optimized process data, an optimized process is an optimized process of multidisciplinary optimization, the process tree structure comprises process nodes and application nodes, the process nodes are used for storing scheduling program data of the optimized process, and the application nodes are used for storing application information; and generating a historical data table of the optimization process according to the process tree structure to store historical data of the optimization process. According to the method and the device, the huge historical data of the multidisciplinary optimization process can be efficiently organized and managed, so that the storage space is reduced, and the read-write efficiency is improved.