8results about How to "Quick division" patented technology

The application relates to the technical field of power distribution control, in particular to an active power distribution network fault self-healing system and a method thereof, which comprises a data sensing module, a fault positioning module, an isolation control module, a fault self-healing module and a power supply recovery module, and realizes intelligent processing of the whole process from fault detection to power supply recovery through cooperation of the multiple modules. The system can quickly position faults based on FTU layout structure and operation data, optimizes analysis efficiency in combination with a GPU computing power dynamic distribution mechanism, and realizes accurate isolation of a fault area, self-healing repair and smooth grid recovery by using intelligent strategy generation and digital twin technology. The application effectively improves the power supply reliability, system stability and operation intelligent level of the power distribution network.

The application provides a remote sensing target matching method based on a convolutional neural network of fused local features, compared with a CNN feature based on an overall image, the CNN feature extracted at a region level has higher robustness and flexibility in identifying small similar regions between partial matching images, a matching region pair is accurately matched through a generating step, which makes the CNN feature extracted from the regions more robust for partial repeated image matching, because a region suggestion model in a rough division efficiently matches local features between images to select a small number of top candidate images, which can greatly reduce the target detection range of the partial repeated images, and the application can realize relatively accurate matching because the good robustness of SIFT features and the high resolution capability of CNN features are fully utilized.

This application provides a method and system for processing surface defects on silicon wafers, an electronic device, a computer-readable storage medium, and a product. The processing method includes: acquiring image information, whereby the image information characterizes defect features on the silicon wafer surface, and the defect features characterize the peak and valley differences on the silicon wafer surface within a preset unit area; processing the image information to convert it into a surface feature model, where the surface feature model includes grayscale values ​​corresponding to the defect features, with different defect features corresponding to different grayscale values; coloring the surface feature model to generate a color model, where the color model includes a preset set of colors, with different colors corresponding to different grayscale values; and outputting defect identification results based on the color model. In this way, the nanometer-level peak and valley differences on the silicon wafer surface are transformed from discrete numerical values ​​into a visualized color model, thereby solving the problem of not being able to intuitively present defect features and improving the efficiency and accuracy of defect identification.

This invention relates to the field of digital twin technology, and more particularly to a predictive maintenance platform for the entire lifecycle of a heat dissipation system based on digital twins. The platform includes: a data acquisition module; a model building module; a block partitioning module for determining whether to perform direct partitioning based on regional coupling strength or related partitioning based on heat exchange correlation, according to the fault propagation coefficient; a category analysis module for determining block categories based on temperature deviation and determining whether to adjust the block categories of the second-class blocks based on the contaminant deposition impact and fluid pressure anomaly of the second-class blocks, according to the maximum fluctuation cycle decay rate; an update analysis module for determining the update frequency of each updated block based on a comprehensive evaluation value; and an update optimization module for determining whether to perform optimization adjustments based on the block change coefficient. This invention can improve model update efficiency.

The utility model discloses an automatic feeding device for plastic product processing, including transmission link and baffle, transmission link is through the front and rear both ends of distributing roller and is connected with distributing roller sliding, and the outer surface of distributing roller is opened with a plurality of insertion slot in the circumference array, and one end of baffle is located in the inside of insertion slot and is connected with insertion slot sliding, and distributing roller is located in the inside of distributing bin, and the surface of one end of baffle towards distributing bin is equipped with brush, the utility model discloses the combination design of insertion slot on the surface of distributing roller and baffle, can flexibly increase or decrease the number of baffle and adjust interval angle, and the inside space of distributing bin is divided quickly, realizes accurate intermittent feeding, when baffle rotates with distributing roller, can evenly separate raw materials, and cooperate brush to clean the remaining of distributing bin inner wall, both ensure that the feeding quantity is stable and controllable, and adapt to the feeding demand of different processing scene, and the practicality improves obviously.

The application discloses a kind of urban green space extraction methods based on prior knowledge and remote sensing data, method includes: obtaining remote sensing data and pre-processing to obtain multispectral image data, select several preset bands of multispectral image data, set the prior knowledge threshold value corresponding to each band one by one, the pixel point of band is compared with corresponding prior knowledge threshold value, according to the comparison result, pixel point is initialized as first value or second value, obtain several preliminary hierarchical data, based on the normalized difference vegetation index, after the integrated data is corrected, the modified integrated data is obtained;According to the distribution result of multiple ground object types obtained by the modified integrated data and the preset classification rule. According to the result of prior knowledge extraction, the quality is high, the robustness is stronger, can quickly divide urban green space and other ground object types, reduce workload, can be widely applied in data processing technical field.

The application relates to the field of communication, in particular to an intelligent communication operation management and control system deployment device and a use method thereof. The intelligent communication operation management and control system deployment device comprises a base, further comprises a lifting cylinder movably arranged on the base, the outer periphery of the lifting cylinder is provided with spiral blades, and the lifting cylinder is connected with a power driving mechanism mounted on the base; the power driving mechanism is used for driving the lifting cylinder to maintain a rotating state and execute a lifting action; a limiting mechanism is mounted on the base and is used for limiting wood piles arranged at equal distances; the limiting mechanism is connected with a sensing control mechanism mounted on the base; the sensing control mechanism communicates with the power driving mechanism; finally, when a physical construction of a communication operation management and control system is carried out, through mutual cooperation between various mechanisms and components in the device, effective deployment auxiliary functions are realized, the communication management and control area is quickly divided, and the work efficiency is remarkably improved.

A kind of user segmentation method based on high-speed ETC charging data, the pre-processing of highway toll data is carried out, the field information required for highway user classification is extracted, and the basic information is stored with the license plate number of highway user as key field, to form the travel basic data of highway user;The high-speed toll records of each highway user are sorted according to time, and the data is cleaned according to the abnormal state of time and space, to obtain the high-speed toll data after data cleaning;According to the cleaned data, the information of three dimensions of highway user time index, space index and personal attribute index is extracted respectively, to form the user classification evaluation index system, and the classification of highway user is completed;According to the time index and space index of highway user travel, the classification is carried out in month cycle, to identify various travels such as commuting travel, operation travel, sporadic travel and business travel.The present application has complete information and high precision, and provides basis for highway planning and construction.