4results about How to "Practical tools" patented technology

The present application provides a kind of geological selection area quantitative evaluation system, method, equipment and medium, the geological selection area quantitative evaluation system includes the parameter evaluation module, parameter conversion module, parameter weight module and block comprehensive sequencing module connected in turn, wherein, the parameter evaluation module is used to generate parameter evaluation score, the parameter evaluation module includes geological accumulation condition evaluation module and resource endowment evaluation module;The parameter conversion module receives the parameter evaluation score and carries out standardization processing, obtains standardization parameter evaluation score;The parameter weight module receives the standardization parameter evaluation score and confirms corresponding weight;The block comprehensive sequencing module confirms comprehensive evaluation score according to received the standardization parameter evaluation score and corresponding weight.This application claims that oil and gas geological selection area evaluation not only considers the geological potential of underground target, but also considers other factors, and different weights are given according to different blocks, with practicality and operability.

The utility model provides a curtain wall corner structure and connecting assembly belong to curtain wall installation technical field. The curtain wall corner structure and connecting assembly, including support stand, the front side of support stand is provided with two groups of crossbeam, two groups of crossbeam's back surface fixedly connected with fixed establishment, two groups of fixed establishment's opposite side with support stand fixed connection. The utility model has, in the installation process, through the hinge mechanism that a plurality of groups of transmission rod such as transmission rod no.

The application relates to an AI large model-based projection interaction method and system, wherein the method comprises inputting multi-modal data into an AI large model to output a current scene type; determining a user interaction data corresponding inference mode based on the user interaction data in the multi-modal data; generating response content of a projection device based on the inference mode, the current scene type and the multi-modal data through the AI large model; and presenting the response content through a presentation device. The application solves the limitations of single interaction mode and weak content processing capability in the prior art, improves the depth of interaction from instruction-response to understanding-generation, makes the content service more targeted and practical, significantly optimizes the user experience and satisfaction, and solves the problem of how to improve the depth interaction capability in the related art.

The invention discloses an urban foggy day scene visibility estimation method based on a physical perception multi-task regression network. The method comprises the following steps: acquiring an urban scene image collected in sunny weather; preprocessing and data enhancement are carried out on an urban scene image collected in sunny weather; constructing a data set based on the preprocessed and data enhanced images; constructing a physical perception multi-task regression network model for estimating visibility parameters of the urban foggy day scene; training the physical perception multi-task regression network based on a training set in the data set to obtain a trained physical perception multi-task regression network model; inputting a test set image into the trained physical perception multi-task regression network model to realize estimation of visibility parameters of the urban foggy day scene; and calculating the visibility of the urban foggy day scene by adopting a visibility estimation algorithm on the basis of estimating the visibility parameters of the urban foggy day scene.