3results about How to "Reduce the human factor" patented technology

The application belongs to the technical field of data analysis and processing, and specifically discloses a typhoon track trend change confirmation method, system, device and medium. The method obtains the sea surface pressure disturbance field, the sea surface wind field and the diagnostic field in the sea basin scale. Based on the multi-field joint determination, the typhoon track and the influence area in the climate model data are determined. Further iteration is performed to determine the typhoon track and the influence area data set. Based on the modal decomposition and by using the influence area data set and the TDF method, the typhoon trend change is determined. The method can comprehensively utilize the forecast model data wind pressure field data to jointly research and judge, effectively determine the typhoon center position and the typhoon track, and objectively and reliably determine the typhoon influence range by the sea surface pressure disturbance field, so that the influence of the artificial factor introduced by the artificial given area weight influence factor in the TDF method can be reduced. The typhoon change trend is determined by using the principal component analysis method on the objective typhoon influence range, and the operability is high.

The utility model discloses inspection tool equipment for bending a steel pipe, which comprises an inspection platform, a first inspection assembly and a second inspection assembly, and is characterized in that the first inspection assembly comprises a first guide rail which is horizontally arranged on the inspection platform in an extending manner, and a first sliding group and a first positioning block which are connected and arranged on the first guide rail in a sliding manner; the second inspection assembly comprises a second guide rail which is vertically arranged on the inspection platform in an extending manner, a second sliding group and a second positioning block, the second sliding group and the second positioning block are connected and arranged on the second guide rail in a sliding manner, and scales are respectively arranged on the first guide rail and the second guide rail. Angle and length determination can be synchronously completed, abstract angle verification is converted into visual physical fitting determination by using an orthogonal rigid structure of the horizontal slide rail and the vertical slide rail, one-button rapid detection of a bent steel pipe product is realized, human factors are reduced, detection time is greatly shortened, and working efficiency is improved.

The application provides a curve reconstruction method and device based on deep learning, equipment and medium, the method comprises the following steps: obtaining the logging curve data of the non-expanded section, and establishing a training set and a test set; a density curve reconstruction model is established and the training set is used to train the density curve reconstruction model, the density curve reconstruction model is a deep learning model; the test set is used to test the density curve reconstruction model, and a reconstructed density curve is generated, the density curve reconstruction model is adjusted until the correlation of the reconstructed density curve and the original density curve of the non-expanded section and the relative error of the density curve reconstruction model reach a preset condition; the density curve of the target well is reconstructed by using the adjusted density curve reconstruction model. The application simplifies the operation process, especially in complex formation conditions, can accurately reflect the actual situation of the formation, and improves the calculation accuracy of the reservoir parameters.