Abstract: A method for improving an identification accuracy of mixture components by using a known mixture Raman spectrum is disclosed. After calculating a first similarity between a to-be-tested Raman spectrum characteristic vector group and a pure substance Raman spectrum characteristic vector group of an nth kind of pure substance in a Raman spectrum standard library, the method uses a known mixture library to calculate to obtain a second similarity between a to-be-identified substance Raman spectrum characteristic vector group and a spectral peak characteristic vector group with offset information corresponding to a pure substance in a known mixture, and determines a similarity between a to-be-tested mixture and the nth kind of pure substance according to the first similarity and all second similarities to thus obtain a component identification result. The present application uses the known mixture library to assist the Raman spectrum standard library in searching.

Abstract: A method for improving an identification accuracy of mixture components by using a known mixture Raman spectrum is disclosed. After calculating a first similarity between a to-be-tested Raman spectrum characteristic vector group and a pure substance Raman spectrum characteristic vector group of an nth kind of pure substance in a Raman spectrum standard library, the method uses a known mixture library to calculate to obtain a second similarity between a to-be-identified substance Raman spectrum characteristic vector group and a spectral peak characteristic vector group with offset information corresponding to a pure substance in a known mixture, and determines a similarity between a to-be-tested mixture and the nth kind of pure substance according to the first similarity and all second similarities to thus obtain a component identification result. The present application uses the known mixture library to assist the Raman spectrum standard library in searching.

Abstract: An object symmetry axis detection method based on an RGB-D camera includes: obtaining three-dimensional point cloud data of an image of a target object in natural scenes, identifying data corresponding to a point cloud of an area where the target object is located from the three-dimensional point cloud data according to a color difference threshold segmentation method, establishing a spherical coordinate system centering about a centroid of the target point cloud data, selecting n2 candidate symmetry planes with a spherical coordinate system segmentation method, and calculating a symmetry axis of the target point cloud data according to the n2 candidate symmetry planes as the symmetry axis of the target object.

Abstract: The present invention provides a flexible job-shop scheduling method based on a limited stable matching strategy, and belongs to the field of job-shop scheduling. The method adopts the following design solution: a. generating an initial chromosome population through integer coding and initializing relevant parameters; b. conducting crossover and mutation operations on parent chromosomes to obtain progeny chromosomes; c. combining the progeny chromosomes and the parent chromosomes into a set of to-be-selected chromosomes, and selecting a next generation of chromosomes from the set through limited stable matching operation; and d. stopping the algorithm if meeting cut-off conditions; otherwise turning to step b.

Abstract: An object symmetry axis detection method based on an RGB-D camera includes: obtaining three-dimensional point cloud data of an image of a target object in natural scenes, identifying data corresponding to a point cloud of an area where the target object is located from the three-dimensional point cloud data according to a color difference threshold segmentation method, establishing a spherical coordinate system centering about a centroid of the target point cloud data, selecting n2 candidate symmetry planes with a spherical coordinate system segmentation method, and calculating a symmetry axis of the target point cloud data according to the n2 candidate symmetry planes as the symmetry axis of the target object.