9results about How to "Fine division" patented technology

The invention relates to the technical field of data processing, in particular to a shrimp group health condition assessment method based on deep clustering analysis, and the method comprises the steps: monitoring health parameters; determining a shrimp group dispersion grid; determining a temporary grid; identifying a non-shrimp group abnormal grid; calculating an actual health index; and adjusting the grid step length and evaluating health. According to the method, the health condition of the shrimp group can be accurately monitored and evaluated by combining physiological and behavior data such as real-time density, saturation and activeness, abnormal grids are eliminated step by step, more representative grids are screened out, evaluation deviation caused by environmental fluctuation or measurement errors is avoided, and the evaluation accuracy is improved. The dynamic monitoring of the health condition of the prawn group is realized, and the grid step length is automatically adjusted by comparing the ideal health index with the actual health index, so that the health assessment precision and reliability are improved, and the problem of inaccurate health assessment result caused by unstable environmental parameters is effectively solved.

The invention discloses a lithium battery equalization method based on improved fuzzy control, which aims at solving the problems of low single variable control precision and poor fixed universe adaptability in the existing equalization method, and comprises the following steps: firstly, dividing SOC into different intervals through battery OCV-SOC characteristic analysis, and preferentially carrying out voltage equalization in an extreme SOC interval to avoid overcharge and overdischarge; sOC equalization is preferentially carried out in the middle SOC interval so as to improve the energy transfer efficiency. A voltage and SOC dual fuzzy controller is designed, a variable universe fuzzy controller is introduced to dynamically adjust an input variable universe, the universe is expanded at the initial stage of equalization to accelerate response, and the universe is shrunk at the later stage of equalization to improve precision. And further designing a self-adaptive fuzzy controller, taking the SOC mean value and the equalizing current as input, and dynamically outputting a weight coefficient of a double-fuzzy controller, thereby realizing self-adaptive switching of the equalizing strategy under different SOC intervals. According to the invention, the equalization precision and efficiency are effectively improved, and the robustness and safety of the system are enhanced.

The invention discloses a full-space visual behavior discrimination method based on machine vision, and the method comprises the following steps: S1, obtaining a video stream, carrying out the recognition of a human body in the video stream, and building a coordinate system for each frame of image in the video stream; s2, segmenting a human body in the video streams to obtain video streams of all parts of the human body; s3, carrying out key point calibration and line calibration on each part of the human body of each frame of image in the segmented video stream, wherein key points comprise joint points; s4, identifying the calibrated video stream of each part to obtain the change condition of the key point of each part; and S5, assembling the video streams of all the parts according to the common key points to obtain the assembled video stream of the whole action of the human body. According to the invention, the movement condition of each part is identified independently, so that the accuracy of overall identification of the human body is improved.

The embodiment of the invention provides a local dynamic recoordination bit stream method and device based on multi-dynamic region division. The method comprises the following steps: generating a mixed netlist file according to a static logic and a plurality of first dynamic logics, and respectively generating a plurality of independent netlist files according to a plurality of second dynamic logics; executing a bit stream processing flow of the mixed netlist file to obtain an integral bit stream file and a plurality of first bit stream files; respectively executing bit stream processing flows of the plurality of independent netlist files to obtain a plurality of second bit stream files; and replacing the second target file in the plurality of first bit stream files with the first target file in the plurality of second bit stream files to obtain a re-coordinated bit stream file. According to the technical scheme provided by the embodiment of the invention, the previous overall region calibration process is split, each dynamic region is independently processed, and the corresponding bit stream is generated, so that the regions are ensured not to influence each other, and local bit stream reconfiguration can be realized in the subsequent use process of the FPGA.

The present application discloses an object detection method, device and equipment, and a vehicle driving information determination method, device and equipment. Among them, the object detection method includes: determining the first feature data of multiple first voxels corresponding to the first spatial resolution in the target space and the second feature data of multiple second voxels in the first voxel corresponding to at least one second spatial resolution respectively according to the environmental point cloud data, and using the first feature data and the second feature data as the third feature data of the first voxel; generating a two-dimensional feature image of the target space according to the third feature data through a two-dimensional feature extraction model corresponding to the network depth and the first spatial resolution; determining the object information in the target space according to the two-dimensional feature image including the adjacent information between the first voxels and the adjacent information between the second voxels. This processing method can effectively take into account both high object detection accuracy and fast detection speed.

The present invention relates to the technical field of network traffic management, and in particular to a network traffic management method based on data analysis, the method comprising: obtaining historical traffic data of all network user terminals and traffic usage data and user terminal information of each network user terminal from a server; obtaining the geographical location distribution of all network user terminals, and determining the traffic type of each network user terminal; determining the traffic usage user type of each network user terminal according to the user terminal information and the traffic type; determining usage-related characterization parameters of the network user terminal, and determining a traffic management area in combination with the traffic usage user type; determining a traffic management mode within the next traffic management cycle according to the traffic management area; the present invention analyzes the traffic characteristics of the user terminal, and performs corresponding traffic management according to traffic usage requirements, thereby improving the rationality of traffic management and ensuring the traffic requirements of different users.

The utility model provides a medicine dispensing workbench, which comprises an upper cabinet, a medicine dispensing operation area, an operation table top and a lower cabinet, and is characterized in that the medicine dispensing operation area is positioned between the upper cabinet and the operation table top, and the lower cabinet is positioned below the operation table top; the upper cabinet comprises an upper cabinet door; the medicine dispensing operation area comprises a middle partition, the middle partition divides the medicine dispensing operation area into at least two medicine dispensing areas, at least two layers of supporting strips are arranged on the two sides of each medicine dispensing area, medicine trays are placed on the supporting strips when placed in the medicine dispensing areas, and medicine boxes are placed in the medicine trays. The lower cabinet comprises a lower cabinet door and at least one drawer, the at least one drawer is arranged between the operation table top and a cabinet cavity of the lower cabinet, supporting rails are arranged on the two sides of the interior of the cabinet cavity, and medicine baskets are placed on the supporting rails when being placed in the cabinet cavity of the lower cabinet. According to the medicine dispensing working table, the structure of the upper cabinet, the lower cabinet and the table top is adopted, the medicine dispensing working table is divided into a plurality of storage areas and one medicine dispensing operation area, functions are more complete, and division of the storage areas is finer.

The invention provides a base station energy saving method and system and a storage medium, and belongs to the technical field of communication, the base station energy saving method and system are applied to a base station energy saving system comprising at least one base station, each base station is provided with at least one active antenna unit, and the base station energy saving method comprises the following steps: obtaining position information of an aircraft entering a monitoring area, the base station information in the monitoring area is acquired; comparing the position information with a cell coverage area corresponding to the base station; if the current positions and the predicted flight paths of all the aircrafts are out of the cell coverage range corresponding to the base station, the base station is controlled to enter an energy-saving state, corresponding energy-saving operation is executed, and the energy-saving operation comprises the steps of adjusting the power of the base station and closing part of functional modules. According to the method, the communication and / or sensing requirements of the low-altitude aircraft are met, meanwhile, the energy consumption overhead of the base station is reduced to the maximum extent, and the operation efficiency and economical efficiency of the base station energy-saving system in a low-altitude coverage scene can be improved.

This invention proposes a method, system, device, and readable storage medium for stress testing of a system hard drive. The method includes: collecting data on the mounted partitions of the hard drive; collecting the available capacity of each mounted partition; calculating the test duration for each partition based on the set test duration and the available capacity of each partition; performing stress tests on each partition sequentially according to the test duration; and generating logs and deleting files generated during the test after the test. Specifically, during stress testing of each partition, a method of cyclically generating files of fixed / random sizes in the corresponding partition's iotest directory is used for read / write stress testing until the time expires or the partition capacity is exhausted, at which point the test ends. This invention achieves comprehensive hard drive stress testing covering the entire system partition by creating files on each partition of the system hard drive and performing file read / write tests. This can expose early hard drive failures through stress testing, effectively reducing client-side quality issues.