6results about How to "Efficient and Accurate Acquisition" patented technology

The invention discloses a marine main engine cabin entering simulation method and system based on multi-view measurement. The method comprises the following steps: acquiring cabin space depth image information through multiple view angles, constructing cabin environment three-dimensional point cloud data, and unifying multi-view angle point clouds to the same global coordinate system based on camera calibration; performing accurate fusion on the multi-view point clouds by adopting a point cloud registration algorithm which introduces a dynamic weight and a local rejection mechanism, and extracting a boundary of an effective space of a cabin by utilizing an alpha-shape algorithm; motion trail modeling is carried out on the main engine cabin entering process, meanwhile, rapid real-time calculation of the minimum gap between a main engine envelope body and a cabin boundary is achieved by constructing a gridding distance field of a cabin space, and therefore whether the risk of collision or insufficient space exists in a given cabin entering path of a main engine or not is judged. According to the invention, high-precision, high-efficiency and high-real-time host entry space verification can be realized in a complex and narrow in-cabin environment, and reliable technical support can be provided for optimization and decision-making of a marine host entry scheme.

The invention discloses a software test report generation method and device, a storage medium and computer equipment, and the method comprises the steps: responding to a test report generation instruction of target software for a target scene, and obtaining test index data of different data sources through a unified multi-data source adaptation layer interface, the different data sources comprise a Prometheus time sequence data source, a Grafana visual data source and a YAML test case data source; obtaining a test report generation template corresponding to the target scene, and determining an index association rule and a rendering type in the test report generation template; performing association analysis on the test index data of the different data sources on the basis of an index association rule, determining test conclusion data of the target software on the basis of an association analysis result, and rendering the test index data in the Grafana visual data source on the basis of a rendering type to obtain a rendered picture; and embedding the test index data, the test conclusion data and the rendering picture into a test report generation template to obtain a test report corresponding to the target software.

The invention belongs to the technical field of constructional engineering, and particularly relates to a screening device for detecting the fineness modulus of sand and a screening detection method. According to the sand screening device, the sealing assemblies of the sealing parts are matched with the fixing assemblies, elastic sealing rings are arranged at the top and the bottom of each screening ring, tight sealing between the adjacent screening layers is achieved through vertical pressing of the upper pressing rings, the lower pressing rings and the connecting rods, and sand can be effectively prevented from being scattered from gaps in the screening process; the whole device is comprehensively protected through a protection barrel body and a sealing cover assembly of the protection part, external impurities can be prevented from entering the device, parts can be prevented from being collided and damaged, a stable frame structure is formed in combination with the fixing assembly, and the screen layer can be effectively prevented from loosening and shifting in the screening process; meanwhile, a spring assembly is adopted to buffer vibration impact force, and damage of vibration to the weighing sensor and other parts is reduced; and a preset sand fineness modulus algorithm is adopted, so that the sand sample fineness modulus can be accurately and efficiently obtained.

The application relates to the technical field of mechanical design, and provides a fluid thermal power machine design optimization method and device and electronic equipment. The method comprises the following steps: acquiring small sample data corresponding to a low-dimensional design space of a fluid thermal power machine; for each optimization index, a regression model with high-order base functions between the optimization index and multiple design parameters is constructed; the regression model is trained based on the small sample data until a target function of the regression model is minimum, and the regression model at this time is determined as a prediction model of the optimization index; the target function comprises a prediction error term obtained based on the high-order base functions and an L1 regularization term; and the fluid thermal power machine is designed and optimized based on the prediction model. When multiple design parameters, multiple performance indexes and small sample data are faced, the application can consider the prediction accuracy, model generalization ability, physical interpretability and optimization efficiency, and thus comprehensive optimization design parameters meeting engineering constraints can be efficiently and accurately obtained.

This invention belongs to the field of computer vision technology, providing an image feature extraction model training method, a cross-view geolocation method and apparatus. The training method includes: constructing a sample pair set; constructing a joint training model, including: a backbone network for extracting global feature maps of satellite images and UAV images in the sample pair; a soft correspondence consistency module for obtaining the internal relation matrix and view migration relation matrix of the satellite images and the UAV images in the sample pair based on the global feature maps of the satellite images and the UAV images; training the joint training model based on a total loss function, with the trained backbone network serving as the image feature extraction model; the total loss function includes symmetric contrastive learning loss and structural consistency loss. The trained image feature extraction model exhibits good robustness to viewpoint changes and can output discriminative global feature maps.

The application discloses a bag type recyclable pressure type anchor rod, which comprises an anchor head anchor, a rod body, a bearing body and an anchoring body. The rod body comprises a steel strand and a protective sleeve, the protective sleeve is sleeved on the periphery of the steel strand, the bearing body is connected with the steel strand at the end of the rod body, and the anchoring body comprises a cement soil anchoring body and a cement slurry anchoring body. The cement soil anchoring body is formed by high-pressure rotary jet grouting process of cement slurry and surrounding soil, and the cement slurry anchoring body is formed by injecting cement slurry into a bag around the rod body through a reserved grouting pipe. The anchor rod makes the shear stress distribution of the anchoring body and the soil interface more uniform, effectively prevents the cement soil anchoring body from being damaged under pressure, and fully plays the bearing performance of the anchoring body. The application also provides a bearing capacity calculation method of the bag type recyclable pressure type anchor rod, which can obtain the limit bearing capacity data of the anchor rod concisely, efficiently and accurately.