4results about How to "Improve rejection rate" patented technology

This invention belongs to the field of cross-industry information model construction technology, and relates to a method and system for semantic construction and automatic generation of multi-industry information models. The method includes: generating standard format requirement parameters for cross-industry models based on cross-industry model construction requests; decomposing the standard format requirement parameters into industry requirement parameter sets; generating customized meta-models by combining the industry requirement parameter sets, a meta-model base library, and a cross-industry feature library; semantically aligning the customized meta-models based on an industry terminology list and a cross-industry semantic rule library to obtain a cross-industry model element semantic alignment table; constructing lightweight model structures based on the cross-industry model element semantic alignment table; performing syntax validation on each lightweight model structure; and generating standardized model files corresponding to each target industry. This invention achieves automated construction of cross-industry models from scratch, improves model adaptation success rate and semantic accuracy, and avoids the problem of cross-industry models being unable to communicate with each other.

This invention discloses a color sorting device and method for purifying broken glass. The device includes a feeding device, a color sorting and separation device, and an air passage device. The feeding device vibrates and feeds the material to the color sorting and separation device, which screens the main purified material and impurities in one pass. The air passage device assists the color sorting and separation device in rejecting the determined material and sending it to the corresponding receiving bin. The color sorting device and method for purifying broken glass disclosed in this invention can improve the screening accuracy.

The utility model discloses a stone removing winnowing machine which comprises a machine frame, a fan assembly, an electromagnetic feeding assembly, a dust blocking cover, an air plate adjusting assembly, a negative pressure dust removing system and a discharging opening. A cover plate is fixed on the top surface of the rack, and the upper half section of the rack is divided into two parts by mounting a longitudinal connecting partition plate: one side is a fan mounting chamber, and the other side is a winnowing chamber; the electromagnetic feeding assembly and the dust blocking cover are mounted on the cover plate and are arranged close to the fan mounting chamber; one end of the electromagnetic feeding assembly is arranged in the dust blocking cover; a blanking opening is formed in the cover plate in the dust blocking cover; the fan assembly is arranged in the fan mounting chamber, and an air outlet of the fan assembly is communicated to the front end of the winnowing chamber through an air guide pipe; side plates A are arranged on two symmetrical sides of the winnowing chamber, and the other side of the winnowing chamber is communicated with the negative pressure dust removal system; the air plate adjusting assembly is arranged in the winnowing chamber. Tea winnowing is completed through feeding of the electromagnetic feeding assembly, airflow generation and guiding, winnowing separation, negative pressure dust removal and discharging, the structure is compact, and the stone removal rate is high.

This invention relates to a debris removal system and method based on multimodal optical detection using air separation. The system includes a feed duct, a primary visual inspection and removal unit, a secondary laser inspection and removal unit arranged sequentially along the material conveying direction of the feed duct, a debris collection unit connected to the feed duct, and a noise reduction and maintenance unit that encloses noise-generating components. This invention forms a redundant and complementary detection system through dual-modal optical detection using both vision and laser. Primary visual inspection quickly removes debris with obvious optical characteristics, while secondary laser inspection identifies foreign objects of the same color in blind spots of visual inspection based on the physical properties of the material surface. This significantly improves the overall debris detection and removal rate, ensuring the high purity of the finished product.