3results about How to "Density is easy" patented technology

This invention discloses a sugar-vinegar liquor for controlling the tea geometrid moth and its preparation process, belonging to the field of green pest control technology for tea gardens. It addresses the problems of existing sugar-vinegar liquors for controlling the tea geometrid moth, such as weak targeting, short-lasting effect, incomplete control, imperfect formulation and application process, and unreasonable cost control. The method includes the following steps: weighing sugar, vinegar, liquor, and water according to the volume ratio of the basic components; adding sugar to water and stirring until completely dissolved to obtain a sugar-water solution; adding vinegar and liquor sequentially to the sugar-water solution and stirring evenly to obtain a basic sugar-vinegar liquor; sequentially adding a targeted attractant, a long-acting slow-release factor, and an environmentally friendly killing factor to the basic sugar-vinegar liquor, stirring for 10-15 minutes after each addition to ensure thorough mixing, resulting in a sugar-vinegar liquor for controlling the tea geometrid moth. This invention significantly improves the trapping specificity and efficiency by optimizing the basic ratio, selecting targeted raw materials, and adding a tea geometrid moth-specific targeted attractant.

The invention relates to the technical field of spatial modeling and three-dimensional point cloud data processing, in particular to a point cloud model optimization method and a base station point selection method based on point cloud model feature extraction. The method comprises the steps of firstly performing down-sampling on a point cloud model, and then for each point, acquiring a unit normal vector of a fitting plane of the point and a neighborhood point of the point as a unit normal vector of the point; performing normal vector optimization on each point in the simplified point cloud; and calculating the feature measurement of each point in combination with the optimized unit normal vector of each point in the simplified point cloud, and selecting the points with the feature measurement in a set feature interval to form a feature point cloud. According to the method, data simplification of the point cloud model is realized under the condition that the original features of the point cloud model are reserved.

The present invention relates to a preparation method for a multilayer ceramic membrane having an oxide thin layer and application. A composite material made up of a fluorite-type oxide and a perovskite-type or spinel-type oxide is pre-formed, and then high-temperature thermal treatment under contact with Al2O3 is carried out to obtain a multilayer ceramic membrane having a fluorite-type oxide thin layer. The density of the fluorite-type oxide thin layer is adjustable, the thickness is controllable and can be as thin as about 1 micron, there is good compatibility between each layer of the multilayer ceramic, and same does not peel or de-layer. In addition, a multilayer ceramic preparation process provided in the present invention is simple, has good repeatability, and is readily scaled up. When the multilayer ceramic is used as a hybrid conductive membrane, said ceramic continuously and stably works for over 1000 hours in an atmosphere containing H2, CO2, CH4, and H2S, and serves as an oxygen permeable membrane to stably and efficiently carry out industrial byproduct hydrogen-driven water decomposition and hydrogen production. In addition, a multilayer ceramic preparation technique provided in the invention is expected to be applied in fields such as solid oxide fuel cells, high-temperature electrolytic batteries, and gas sensors.