8results about How to "Guaranteed focus" patented technology

The present invention provides a lens drive motor, a camera and a mobile terminal. The lens drive motor includes: a housing, a drive magnet, a drive coil, a lens barrel, a lens support body and a lower cover assembly, the housing is arranged on the lower cover assembly to form an accommodation space between the two, the drive magnet, the drive coil, the lens barrel and the lens support body are all located in the accommodation space, and the drive coil is arranged on the lens support body, the drive magnet is arranged corresponding to the drive coil, at least a part of the lens barrel is arranged inside the lens support body, and the lens barrel and the lens support body are an integrally formed structure. The present invention solves the problem of complicated assembly process of the lens drive motor in the prior art.

The invention provides a video key frame extraction method and device, equipment and a storage medium, and the method comprises the steps: obtaining an original frame sequence of an input video; performing content analysis on the original frame sequence, and identifying whether a user-defined attention target exists or not; if the concerned target is not recognized, selecting a key frame from the original frame sequence according to a preset extraction strategy; and if the attention target is identified, constructing a candidate frame set based on the frames containing the attention target and calculating visual difference measurement among the frames in the candidate frame set, and selecting a key frame from the candidate frame set based on the visual difference measurement and outputting the key frame. By adopting the method, the key frame extraction efficiency, pertinence and information density can be improved, and the accuracy of subsequent video analysis is further improved.

The invention relates to the technical field of concrete and surrounding rock drilling, in particular to an intelligent drilling device for inverted arch construction quality detection.The intelligent drilling device comprises a fixed mounting cylinder and a driving rod, the fixed mounting cylinder is used for being connected with a geological drilling rig, the driving rod penetrates out of an inner cavity of the fixed mounting cylinder, and the free end of the fixed mounting cylinder is sleeved with a drilling cylinder; a gear acceleration mechanism and a monitoring mechanism are arranged in the drill cylinder, the gear acceleration mechanism is connected with the driving rod, the other end of the gear acceleration mechanism is connected with a drill bit, a monitoring port and a sampling port which are communicated with the outside are further formed in the opposite side walls of the drill cylinder respectively, and the monitoring port corresponds to the monitoring mechanism in the radial direction. And a sampling wheel for guiding concrete or surrounding rock of the sampling port to the side of the monitoring port is arranged in the drilling cylinder. The small-diameter drill bit is driven to rotate at a higher rotating speed at a low rotating speed, the strength is high, the structure is stable, concrete or surrounding rocks on the two sides of the drill barrel can be synchronously detected and observed, and the quality difference of the surrounding rocks in different directions of the position where the drill barrel is located is conveniently analyzed.

The application discloses an AI vision-based water transportation construction project safety hidden danger intelligent monitoring method and system, which comprises the following steps: A1, collecting water pile foundation construction video stream data and water transportation safety specification text data and respectively preprocessing; A2, extracting water pile foundation construction basic features and small target feature gain weight, and then calculating motion trajectory mask matrix and time sequence fusion features; A3, sequentially extracting water transportation scene structure mask matrix and water pile foundation construction features after physical constraint, and generating safety hidden danger behavior features; A4, extracting initial text features and weighted text features, and then performing cross-modal fusion; A5, calculating behavior compliance matching degree; A6, calculating behavior compliance results, and extracting corresponding contents in the preprocessed water transportation safety specification text data; the application can solve the problems of poor water transportation construction project safety hidden danger identification precision and difficulty in linking safety specification text in the prior art.

The application discloses a kind of context dynamic pruning methods for multi-agent dialogue.The method comprises the following steps: S1: input acquisition and context field object standardization, standardize multi-source heterogeneous data into context field object with state marker and store;S2: context storage and pruning trigger judgment, monitor the state of storage area to trigger dynamic pruning;S3: context compression, the completed history context is compressed into structured abstract;S4: context evaluation and dynamic pruning, when pruning triggers, obtain active and abstract context from storage area to form candidate set, and execute core dynamic pruning processing;S5: task routing, then route the task to sub-agent based on capability matrix and weight;S6: sub-agent execution and result aggregation, generate final result after aggregating each agent output.The application solves the problem of efficiency and accuracy imbalance in long context management, and realizes intelligent retention and accurate routing of key information.

This invention provides an electrode rod for multipole ion transport, comprising a rod body. In a cross-section perpendicular to the axis of the rod body, the rod body includes a curved section, a mounting section, and a transition section for extending the distance between the curved section and the mounting section. The curved section has a bent surface for forming an electrode field. The mounting section is located opposite to the bent surface and is used for positioning and mounting. The transition section extends along the opposite direction of the bent surface and connects to the mounting section. A multipole assembly is also provided, including a fixing member and at least two pairs of electrode rods positioned and mounted by the fixing member. This invention provides an electrode rod and a multipole assembly for multipole ion transport, ensuring both convenient installation and ion focusing capability when the number of electrode rods increases.

The present invention relates to a CS method for correcting the range migration of a large scene by using a missile-borne SAR. The purpose of the present invention is to solve the problem that the existing missile-borne SAR range Doppler algorithm is not suitable for imaging of a large scene with a wide surveying band, which leads to large errors in target imaging. The process is as follows: 1. Acquire the original data and use the series inversion method to derive the two-dimensional spectrum expression of the echo data; 2. Obtain the data after the azimuth Fourier transform of the original data; 3. Construct a line frequency modulation variable calibration function; obtain the data after compensation consistency; 4. Perform a range Fourier transform on the compensated data; 5. Perform a range migration correction and pulse compression on the result of step 4 and then perform a range inverse Fourier transform; 6. Multiply the result of step 5 by the azimuth pulse pressure and phase compensation function, and then perform an azimuth IFFT to obtain a SAR image; the present invention is used in the field of radar imaging technology.

The application discloses a UAV emergency rescue path planning method and system based on disaster risk assessment, relates to the technical field of UAV emergency rescue, and solves the technical problem that the existing technology lacks deep integration of multi-dimensional risk quantization and heterogeneous task timing cooperation, leading to disconnection between operations of different functional UAVs; the application comprises the following steps: obtaining risk index data of a disaster area from four dimensions of geographical attributes, social vulnerability, physical vulnerability and disaster reduction capacity; calculating a comprehensive risk index of the disaster area based on the risk index data, and converting the comprehensive risk index into initial benefits of a UAV search and rescue task; establishing a path planning model for UAV emergency rescue with the goal of maximizing coverage of disaster points, and taking the initial benefits as input of the model; solving the established path planning model to obtain an optimized path result; and the application can quickly generate a path scheme with high efficiency and timeliness under complex battery endurance and logic restrictions, and provides technical support.