5results about How to "Will not miss" patented technology

The invention belongs to the technical field of artificial intelligence, and relates to a power document intelligent question and answer method and system based on a large language model. The method comprises the steps of obtaining document data according to a preset period; preprocessing the document data to obtain an adaptive document; constructing a vector retrieval library through an embedded model according to the adaptive document; obtaining a user query question, inputting the user query question into a vector retrieval library, performing retrieval based on a vector similarity retrieval method and a keyword retrieval method to obtain related text blocks, and screening out the most related text block from the related text blocks through a two-stage rearrangement technology; a user queries the question and the most relevant text block and inputs the question and the most relevant text block into the large language model to obtain preliminary intelligent answer information; and correcting the preliminary intelligent answer information based on a preset self-provincial inversion mechanism to obtain final intelligent answer information. Multiple rounds of questions and answers and context understanding are supported based on a correction mechanism, context consistency can be kept in continuous query of complex technical questions, and the accuracy of multiple rounds of questions and responses is ensured.

The present invention relates to a mulberry pest monitoring system and method based on Internet of Things image processing, which includes obtaining mulberry pest image data, preprocessing and labeling, creating and training a pest analysis model, evaluating the performance of the trained pest analysis model, performing preliminary image acquisition on the monitored mulberry planting area through a first image acquisition module, transmitting the image to the pest analysis model for preliminary pest situation identification and analysis, and locating each pest area, expanding each pest area, and performing infrared image acquisition on the expanded pest areas through a second image acquisition module, identifying and analyzing the pest situation of each expanded pest area, and a pest drawing module drawing the pest area of ​​the monitored mulberry planting area based on the output analysis result, rendering the pest severity, and executing pest control measures. The system realizes all-round pest monitoring of mulberry trees and improves the accuracy of pest identification and analysis results.

The application discloses a dynamic cover generation method and device and electronic equipment. Frame extraction is performed on a target video to obtain a video picture set; human body key point detection is performed on each frame of video picture in the video picture set; for each frame of video picture in the video picture set, a picture score of the video picture is determined based on a key point detection result of the video picture; a plurality of candidate picture sets are constructed based on the video picture set, a comprehensive score of each candidate picture set is determined, and a first number of target picture sets are selected from the plurality of candidate picture sets at least according to a principle of high priority of the comprehensive score; and a dynamic cover of the target video is generated based on the first number of target picture sets. The technical scheme disclosed by the application automatically generates a dynamic cover for a target video without human participation, has high efficiency, consumes very short time, does not miss wonderful segments, and the generated dynamic cover contains more human interaction pictures, which is conducive to attracting the attention of users.

The utility model discloses a kind of height integration control flight cabin suitable for unmanned aerial vehicle, including cabin table, display, throttle push rod, joystick, integrated control panel, display is installed on bracket, bracket is set in cabin table rear side;Throttle push rod, joystick and integrated control panel are all set in the top of cabin table, integrated control panel is set below display, throttle push rod and joystick are all located in the front side of cabin table.The technical effects reached are as follows: using integrated design, pilot completes relevant operation in a centralized control area, accelerates take-off preparation speed, improves flight efficiency.Each subsystem's operating state can be better monitored and managed through integrated design, reduce human error, centralized control interface can clearly present each key parameter and operation option, so that pilot will not miss important information due to frequent shift of sight between multiple instruments and control devices, ensure operation accuracy, so that it can better cope with flight condition.

The present application relates to the technical field of roadbed monitoring, and particularly relates to a roadbed settlement automatic monitoring system and method based on optical fiber sensing technology, comprising a fiber grating demodulator, a plurality of strain optical cables arranged along the longitudinal direction of the roadbed, and a plurality of transverse deformation correction units, the strain optical cables are arranged between the base bed bottom layer and the base bed surface layer and are connected with the fiber grating demodulator; the plurality of transverse deformation correction units are arranged along the longitudinal direction of the roadbed at intervals, and are used for monitoring the actual deformation amount of each strain optical cable at the cross section. The strain optical cables are arranged along the longitudinal direction of the roadbed, so that long-distance continuous measurement and monitoring can be realized; meanwhile, a plurality of transverse deformation correction units are arranged along the longitudinal direction of the roadbed at intervals, the actual deformation amount of the strain optical cables at a plurality of cross sections is monitored, the deformation amount of the strain optical cables in the whole section is corrected, and the monitoring precision of long-distance continuous monitoring of the optical fiber is improved.