2results about How to "High indexing accuracy" patented technology

The application relates to the technical field of automatic production line indexing, in particular to a rapid indexing mechanism, which comprises a bottom plate, a fixing base and a workbench, the fixing base is provided with an eighth screw and is installed on the bottom plate through the eighth screw, a bearing mounting hole is arranged on the fixing base, two tapered roller bearings are arranged on the inner wall, a bearing end cover is installed on the fixing base, and the workbench is arranged above the bottom plate. The application can realize indexing, bolt insertion and locking functions, all the driving devices of the parts are air cylinders, the power source is compressed air, sensors are arranged on all the actions, signal feedback can be realized, the automatic requirement of the whole rapid indexing mechanism is realized, the rapid indexing mechanism has the characteristics of simple structure, low price, fast response speed, high indexing precision, strong adaptability, good stability, high automation degree and the like, and can be widely applied to automatic production lines.

The invention relates to the technical field of geological disaster monitoring, in particular to a landslide analysis method based on deep learning and satellite images. The method comprises the following steps: S1, acquiring a satellite remote sensing image and landform data of a landslide area, and preprocessing the satellite image; S2, constructing a feature set according to a satellite image preprocessing result in combination with the landform data; s3, constructing a training sample set based on the feature set, classifying and positioning the areas conforming to the initial features of the landslide, and outputting the boundary and the distribution range of the landslide; s4, outputting an expression result according to the landslide boundary and the distribution range, and performing multi-index precision evaluation; and if the precision is smaller than the set value, returning to the step 2 and / or the step 3 to carry out adjustment and optimization. The invention aims to provide a landslide analysis method based on deep learning and satellite images so as to realize rapid and high-precision landslide analysis through the satellite images.