4results about How to "Shorten comparison time" patented technology

The invention discloses an automatic optimization method for a digital twin model, and the method specifically comprises the following steps: S1, a data collection module is used for collecting the related construction data of each scene, and a model construction module is used for constructing the digital twin model according to the collected scene data; and S2, parameters in an actual application system are collected through a target parameter collection module, and a classification module is used for classifying the collected target parameters. According to the automatic optimization method for the digital twinborn model, data of actual system application parameters are stored in a database, the actual parameters are drawn into a data table diagram and stored, and a test unit substitutes test data into the digital twinborn model for running test. Various data in a test state and various data in practical application are compared and analyzed, and then parameters of the digital twin model are optimized and corrected according to comparison errors, so that the accuracy of the digital twin model is continuously improved.

This utility model discloses a flue gas collector collection and processing system, including a robotic arm and integrated around the robotic arm a flue gas collector loading and unloading device, a sealing device, a fume extraction machine, and a weighing device. The robotic arm can grip the flue gas collector and unload it from the flue gas collector loading and unloading device, and then sequentially transfer the flue gas collector to the weighing device, the fume extraction machine, the sealing device, the weighing device, and the flue gas collector loading and unloading device again. This application can sequentially realize the weighing of the flue gas collector, the collection of flue gas in the fume extraction machine, the sealing after completion, the re-weighing comparison, and the final loading and collection, completing the entire flue gas collector processing system. The integrated design saves space, and the coordinated and automated operation of each process improves the working efficiency between the various processes of the flue gas collector entering and exiting the fume extraction machine, shortens the weight comparison time before and after sealing the flue gas collector, and improves the accuracy of flue gas collection and detection.

This application relates to a method and system for comparing table data in a row-oriented storage database. The method includes: acquiring the database to be verified; collecting business characteristics, constructing a B+ tree index, and partitioning the database; sequentially locating the difference partitions, difference rows, and difference fields based on the B+ tree index and partitioning combined with hash calculation; and outputting the comparison results based on the difference fields. This embodiment achieves rapid location and on-demand reading of difference partitions in a row-oriented storage database. By sequentially locating the difference partitions, difference rows, and difference fields based on the B+ tree index and partitioning combined with hash calculation, it achieves rapid identification of the partitions containing the difference data, avoiding a full scan of irrelevant data, thereby significantly reducing disk I / O, memory usage, and bandwidth consumption, improving verification efficiency, and reducing resource overhead.

The present application relates to the field of self-service settlement machine, especially to a kind of fast identification method and device for palm vein based on multi-level feature index, the method first extracts the palm vein feature of user palm vein image, then in response to the input of user search code, user search code and palm vein feature are input into the database based on multi-level index architecture to carry out hierarchical indexing, obtain index comparison image, then, user palm vein image and index comparison image are compared, and similarity is obtained, finally, whether the similarity is higher than threshold value is judged, if yes, it is determined that user identity authentication is passed.Compared with prior art, the image matching efficiency of the method of the present application is higher, and the indexing of user privacy information such as gender, age, telephone number is not involved throughout, which can better ensure the security of user privacy information.