5results about How to "Realize the mapping" patented technology

The invention discloses a geological information efficient extraction and calculation method based on a tunnel engineering geological longitudinal profile drawing, and relates to the technical field of geological information extraction and calculation of a geological longitudinal profile drawing, and the method comprises the following steps: S1, filling a tunnel geological longitudinal profile CAD drawing; s2, converting the geological longitudinal section CAD drawing into an image format; s3, image filling and tunnel axis position extraction; s4, tunnel axis removal and tunnel excavation face stratum extraction; s5, the stratum proportion of the tunnel excavation face range is calculated; s6, performing stratum type identification and thickness calculation in the mileage direction of the tunnel; the method has the advantages that on the basis of the geological profile diagram, design parameters such as an engineering geological survey report and the tunnel excavation diameter are considered, geological information of the tunnel crossing area is rapidly extracted and calculated, and foundation support is provided for shield design, site construction and data mining.

This invention relates to the field of remote sensing water quality identification technology, and in particular to a method for identifying black and odorous water bodies based on a temporal convolutional network. By constructing a black and odorous water body identification model comprising a cascaded temporal convolutional network residual module, a channel attention module, a temporal attention module, a global average pooling layer, and a regressor module, and replacing the original output layer of the temporal convolutional network with the regressor module, a mapping from remote sensing image data to continuous water quality parameter predictions is achieved. This solves the technical problem of limited accuracy in identifying black and odorous water bodies by relying solely on general spectral features in existing technologies. Furthermore, by performing addition, subtraction, multiplication, and division operations on the original spectral bands to generate combined bands, and using the Pearson correlation coefficient method to select the original and combined bands with the highest correlation, a sample dataset is constructed by combining this with ground-based measured data. This further expands the sample size based on existing samples, significantly improving the model's learning efficiency.

The application relates to the technical field of marine ecological disaster monitoring, and discloses a green algae area estimation method based on an unmanned aerial vehicle non-orthographic operation mode, which comprises the following steps: firstly, spectrum energy analysis is used to determine a sea state mode and to inversely calculate a basic wave height, a vertical non-uniform atmospheric extinction model is constructed to perform physical defogging; secondly, a fluid-solid coupling damping coefficient is inversely calculated based on texture entropy and glare characteristics, and a green algae microscopic equivalent mean square slope is corrected; finally, pixel-level macroscopic slant range projection, a wave shielding compensation factor and a microscopic surface area correction factor are comprehensively used, and a Sigmoid smoothing truncation weight function is combined to calculate a green algae physical total surface area. The application solves the measurement error caused by the non-uniformity of atmospheric medium, wave shielding and the absence of microscopic geometric characteristics under non-orthographic observation, and significantly improves the monitoring accuracy under complex sea conditions.

This application provides a method and device for reading RFID tags. The method described in this application enables cellular networks to read RFID tags. During the reading process, it ensures compatibility between the cellular network and existing passive RFID tags, achieving a mapping between tag status and RRC status, thereby increasing the compatibility of the cellular network and improving the tag reading distance without modifying existing tag products. Furthermore, the method described in this application can be executed by a relay device, thus avoiding increased computational complexity and power consumption for the tags. It is compatible with passive RFID tags already deployed in business scenarios, ensuring smooth technological evolution.

The invention provides a wafer model generation method, electronic equipment and a storage medium, and the method comprises the steps: obtaining the parameter information of a wafer currently placed on a motion platform, the wafer being divided into a plurality of Shots, and the parameter information comprising the wafer size information and the Shot size information; drawing a wafer model corresponding to the wafer in a target drawing board area based on the parameter information, wherein the wafer model comprises the peripheral contour of the wafer and the boundary of each Shot; the offset of the circle center of the wafer on the moving table relative to the center of the target Shot is obtained; and adjusting the boundary position of each Shot in the wafer model based on the offset. According to the invention, the wafer model can be automatically generated, and mapping between the wafer model and the wafer entity on the motion table can be realized.