6results about How to "Improve classification processing efficiency" patented technology

The present invention belongs to the technical field of anti-blocking equipment, and relates to an anti-blocking device for an integrated pump station, characterized in that it includes a water inlet pipe, a reaction box, a crushing component, a filtering component and a drain pipe, the reaction box is provided with a water inlet pipe and a drain pipe on both sides, the reaction box and / or the water inlet pipe are provided with the crushing component, and the reaction box and / or the drain pipe are provided with the filtering component. The beneficial effects of the present invention are as follows: through the crushing component and the filtering component, the large impurities in the sewage are first crushed and then filtered, and the blockage caused by large and more impurities is reduced, which saves costs; the angle of the pump station to extract sewage is adjusted by the adjustment component, so that the pump station can adapt to different working environments and can fully extract the sewage; the structural design is reasonable, the operation is simple, the efficiency of classifying and processing impurities is high, the blockage of the pump station by impurities is reduced to the greatest extent, and the service life of the pump station is extended.

The invention relates to the technical field of data processing, in particular to an aircraft communication data intelligent processing method based on a space-air-ground integrated network, and the method comprises the steps: obtaining the collection data of each aircraft, screening out the abnormal values in the collection data of a corresponding collection terminal based on a corresponding preset screening threshold value, and obtaining the abnormal values; compression processing is carried out on the collection data of the collection terminals after the abnormal values are screened out, a corresponding decompression code is matched based on an additional identification code of compression information, and decompression processing is carried out; sequentially obtaining label information of the data set after decompression of each piece of compression information; performing classification processing on the data based on the identified label information; according to the data processing method and device, whether a large amount of stored data is qualified or not is determined, and the processing mode for the server is determined under the condition that the data is determined to be abnormal, so that the data processing efficiency is improved while the data reliability is improved.

The invention relates to the technical field of garbage recycling, and particularly discloses construction garbage recycling equipment which comprises a chopping chamber, a rolling ring seat and a crushing chamber, the rolling ring seat is fixed to the lower portion of the chopping chamber, the crushing chamber is located on the front side of the rolling ring seat, and a plurality of rotating shafts are rotationally connected to the interior of the chopping chamber; and a plurality of chopping discs with different sizes are fixedly mounted on the peripheral side of the rotating shaft. According to the construction waste recycling equipment, by integrating three treatment structures of crushing, chopping and rolling, flexible treatment of different types of waste is achieved, the chopping chamber, the rolling ring base and the crushing chamber are reasonably distributed on the upper layer and the lower layer in the equipment design, a switchable connecting mechanism is achieved, seamless connection can be effectively achieved, and the construction waste recycling equipment is suitable for large-scale popularization and application. And through the two-insertion-shaft structure of the electric push rod, a user can conveniently switch different treatment modes, and therefore the classification and treatment efficiency of the construction waste is remarkably improved.

This application discloses an image classification method, image classification device, electronic device, and storage medium, belonging to the field of computer processing technology. The method includes: segmenting a target image to be classified into multiple target image blocks; merging the multiple target image blocks into at least two target image regions based on the correlation between them, each target image region including at least one target image block; determining the image features of each target image region; and determining the category of the target image based on the image features of each target image region. This method achieves the goal of determining the category of the target image by comprehensively considering the correlation between target image blocks, improving the accuracy of image classification results. Furthermore, merging multiple target image blocks into at least two target image regions reduces the number of blocks and improves the efficiency of image classification processing.

The present invention relates to the field of data processing technology, and in particular to an intelligent processing method for aircraft communication data based on an air-ground-ground integrated network, comprising: respectively acquiring collected data of each aircraft, respectively filtering out abnormal values ​​in the collected data of the corresponding collection terminal based on corresponding preset screening thresholds, respectively compressing the collected data of each collection terminal after filtering out the abnormal values, matching the corresponding decompression code based on the additional identification code of the compressed information, and performing decompression processing; sequentially acquiring label information of the data set after each compressed information is decompressed; classifying and processing each data based on the identified label information; determining whether a large amount of stored data is qualified, and determining a processing method for a server when the data is determined to be abnormal, thereby improving the reliability of the data and further improving the processing efficiency of the data.

The invention discloses a grid label classification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a first heterogeneous graph corresponding to job application behavior information and a second heterogeneous graph corresponding to recruitment behavior information, and determining vector information of each node in each heterogeneous graph; determining a grid label associated with each position node included in the first heterogeneous graph and the second heterogeneous graph; determining a grid label associated with each job seeker node included in the first heterogeneous graph and the second heterogeneous graph; for each grid label, selecting N target position nodes and M target job seeker nodes; determining an aggregation vector of each grid label according to the vector information of the N target position nodes corresponding to each grid label and the vector information of the M target job seeker nodes; and performing clustering processing on the plurality of aggregation vectors, and determining a target number of target clusters. According to the embodiment of the invention, the flexibility of region division can be improved, and the accuracy of estimating the flow in the divided region is improved.