4results about How to "Optimize storage" patented technology

This invention discloses a distributed, block-based, multi-dimensional storage method and apparatus for seismic data volumes. The method includes: separating the header information from the seismic traces in the acquired seismic volume file and storing the header information in a preset storage space; determining multiple dimensions based on the keywords of the seismic traces to construct a multi-dimensional model; dividing the multi-dimensional model into multiple multi-dimensional data cubes and determining the name of each multi-dimensional data cube, as well as the extreme values ​​of operational values, the total number of location numbers, and the total number of multi-dimensional data cubes in each dimension; storing the multi-dimensional data cubes on a distributed storage system using a mapping algorithm; calculating the physical storage location of the target data based on the acquired target data information, and extracting the target data from the distributed storage system and / or the preset storage space. This method improves data storage flexibility and query efficiency by optimizing the seismic data storage structure and index calculation.

The application provides a priority-configurable multi-load data transmission method and system applied to a satellite, on the basis of classifying effective load data according to data characteristics, independently equipping a buffer, a read-write pointer and a dynamic storage space, and utilizing an MRAM chip to record and store information of a write task number, a load number, an erased / unerased, a read / unread and a written page address of each address, so as to realize the core function of searching a corresponding storage address according to the load number and playing back data. The application solves the problem that the load data cannot be transmitted according to requirements in the in-orbit use process of the satellite, and can effectively improve the timeliness, keyness and practicability of the load data, and significantly improves the use efficiency of the satellite in emergency response.

The utility model discloses a hunting instrument with an interface anti-falling mechanism, and relates to the technical field of hunting instruments, the hunting instrument comprises a hunting instrument body, the upper surface of the hunting instrument body is provided with a wiring port, the wiring port is connected with a joint, the joint is provided with a limiting block, the left side and the right side of a wiring frame are provided with limiting rods, and the limiting rods are connected with the interface anti-falling mechanism. The limiting rods are sleeved with U-shaped blocks, and the U-shaped blocks are connected with the wiring frame through telescopic springs. And a rear side plate is mounted on the rear side of the upper surface of the line hunting instrument body. According to the line hunting instrument with the interface anti-falling mechanism, the joint is limited in the left-right direction through the synergistic effect of a limiting block, an abutting groove, a limiting rod, a U-shaped block, an abutting block and a telescopic spring, and the U-shaped block is limited in cooperation with a pressing plate, so that the joint is effectively prevented from falling off from a wiring port, the stability of line connection in the use process of the line hunting instrument body is ensured, and the service life of the line hunting instrument body is prolonged. And the problem of signal transmission interruption or inaccurate detection result caused by joint loosening is avoided.

This invention discloses a method and system for time-series data persistence based on a data service platform, belonging to the field of time-series database technology. The technical problem this invention aims to solve is how to improve the query performance of total time-series data on a data service platform while simultaneously increasing file utilization. The technical solution adopted is as follows: The method involves writing the collected time-series data into memory, dividing it into multiple blocks of fixed size, and filling them with the data. When a block is full, the data is filed into the file system. Specifically, the following steps are taken: defining the file structure, including a data file (.data) and an index file (.idx); converting row-based data to column-based data; compressing by column, configuring the `compress` parameter to enable or disable compression; using different compression algorithms for each column based on its data type; and persisting the compressed data to the file system.