3results about How to "Variety" patented technology

This invention relates to a partially elastic fabric and its weaving method, comprising a mesh fabric body. The mesh fabric body includes an embroidery layer, a textured layer, a functional yarn layer, and an elastic and reinforcing structural layer. It is woven using a warp knitting machine. The embroidery layer is formed on the uppermost layer of the fabric through a lateral shifting and pressing mechanism of the patterned yarn guide bars. The textured layer is formed through a double Jacquard guide bar loop-forming mechanism. The functional yarn layer is formed through a double ground guide bar loop-forming mechanism. The elastic and reinforcing structural layer is formed by a regular mesh structure woven through the ground guide bar weft insertion mechanism in conjunction with the loop-forming ground guide bar of the functional yarn layer. The weaving method of this invention produces a fabric with a strong structure and excellent physical properties such as wash fastness and rubbing fastness.

The application discloses a kind of estimation method and system of vegetation canopy combustible moisture content based on meteorology and remote sensing data, comprising the following steps: first, combustible moisture content and various meteorological data and remote sensing data and other several kinds of subsidiary data are selected as combustible moisture content estimation data.Meteorological data includes air temperature, relative humidity, rainfall and wind speed.Remote sensing data includes two vegetation indexes: enhanced vegetation index and normalized vegetation index.Subsidiary data includes: root zone soil moisture, vapor pressure difference, drought index, fire weather factor.Then the long time sequence characteristics of meteorological data are extracted.The size of time window is determined first, and the experimental results show that the correlation coefficient of most sites is relatively high under the time window of 90-210 days.90 days, 150 days and 210 days of time window are selected respectively to extract the time characteristics of four kinds of meteorological data.Secondly, the samples of experimental area are divided into five vegetation classifications, which are closed shrub, sparse shrub, multi-tree tropical grassland, tropical savanna and grassland.Finally, the data sets of the five different vegetation types are sequentially adjusted to obtain the respective estimation model.

This utility model discloses a high-quality polyester-spandex knitted fabric, belonging to the field of knitted fabrics. It includes a base fabric and a pattern unit based on a 6-separate-6-pulling weft plain knit loop structure. When knitting the pattern unit, the front needle bed and the back needle bed are staggered with 6-separate-6 stitches. When knitting to half the pattern height, the front needle bed loop moves 6 stitches to the right to the back needle bed, and the back needle bed loop moves 6 stitches to the left to the front needle bed, continuing to knit to half the pattern height. This utility model forms a loop-transfer air layer composite structure by combining the weft plain knit loop structure and the loop-transfer structure. It has the characteristics that the plain knit structures on the front and back sides of the air layer structure are unconnected and in an elevated state. It has a stronger three-dimensional texture and more stable shape than common structures. Then, by moving the needle bed according to the pattern requirements through the loop-transfer structure, it forms inclined loops arranged on the surface of the fabric, resulting in various zigzag patterns. It has rich variations, can be flexibly applied, and forms obvious stripe effects and multi-color alternation effects.