4results about How to "Robust and stable" patented technology

The invention provides a multi-agent strategic scenario generation system based on a large language model, and the system comprises the following steps: carrying out the modeling of a scene and a system, and carrying out the system modeling of an attempt to record a case, deduce a situation, an event, a scenario, a strategic-battle-tactical-level red-blue party subsystem and a white party subsystem; the method comprises the following steps: initializing a red party attempt to record cases and a blue party attempt to record cases, when a user uses the system, prompting that relevant information of military deduction needs to be input, and after the information is input according to requirements, the system uses a global attempt record generation agent to receive the information input by the user and generate an attempt record in a JSON format. According to the multi-agent strategic scenario generation system based on the large language model provided by the invention, the strategy-battle-tactical multi-level agent vertical cooperation relationship-based game subsystem is designed, and the task granularity of scenarios designed by the large language model is refined through the multi-level game subsystem; and the scenario design quality is effectively improved.

The invention relates to the technical field of image processing, and discloses a license plate detection and recognition method and system based on YOLOv8, and the system comprises an image detection module and a license plate recognition module. The method comprises the following steps: step 1, a high-definition camera shoots vehicle images, and images meeting a screening standard are reserved to form an image data set; step 2, marking a central point ZD of each image, and establishing a two-dimensional coordinate system after the central points ZD of all the images are overlapped and calibrated to be original points; 3, dividing the image in the two-dimensional coordinate system into grids, and calculating the total number B of bounding boxes of all the grids; 4, calculating a confidence score ZX of each bounding box by using a YOLOv8 algorithm, filtering the bounding boxes by using an NMS, and keeping a high-score bounding box for continuous recognition, so that the robustness of an algorithm optimization model is more stable; and step 5, the RNN algorithm model calculates and generates a target character group Mzf, license plate characters are output in combination with a preamble and a subsequent sequence, and the license plate character recognition precision is high.

A model test runner lower ring five-axis machining clamp belongs to the field of water turbines, in order to solve the existing model runner lower ring clamping device exists for a long time, the problem of low clamping efficiency, the application includes positioning bolt, cross hollow pressing plate, circular ring pressing plate and center support frame, the center support frame is installed on the top of the workbench, the cross hollow pressing plate and the circular ring pressing plate are sequentially arranged from top to bottom above the center support frame, and the cross hollow pressing plate, the circular ring pressing plate and the center support frame are coaxially arranged, the threaded end of the positioning bolt is sequentially threaded through the cross hollow pressing plate and the circular ring pressing plate and is threadedly connected with the center support frame, the bolt head of the positioning bolt extends above the cross hollow pressing plate, the model test runner lower ring is arranged on the center support frame, and the model test runner lower ring is clamped between the circular ring pressing plate and the center support frame by rotating the positioning bolt to apply clamping force, and the application is used as a model test runner lower ring five-axis machining clamp.

The invention relates to a scanned image verification method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a to-be-verified scanning image set; the scanning image set comprises a plurality of scanning images; aiming at the plurality of scanning images, determining a distance vector between each two adjacent scanning images; and according to the interval vector between the adjacent scanning images, performing spatial information verification on the plurality of scanning images to obtain a verification result of the scanning image set. A vector model is introduced, and direction information and distance information between scanned images are comprehensively analyzed by means of direction information and distance information of the vector model; through vectorized information, accurate judgment of spatial information abnormity of a multi-phase scanning image can be realized, including judgment of various complex abnormal conditions including unequal spacing and image direction abnormity; according to the method, the verification accuracy of the spatial information can be improved, the comprehensiveness and universality of the verification of the spatial information can be improved, and the robustness stability is higher.