摘要：【中文】本发明公开了一种纤维漂浮物地面收集系统及收集单元，收集系统主要由地面收集组件、风道组件和风机构成，其特征在于：所述地面收集组件由多个收集单元拼接构成；每个所述收集单元包括收集器、收集座和地平网孔板，所述收集器为上大下小的空心的倒置正棱台形状，收集座与收集器的下端口连接，收集座的一侧设有吸风口，所述地平网孔板覆盖所述收集器的上端口；所述风道组件分别连接各个收集座的吸风口，风道组件的出口连接风机。本发明可以进行任意拼接组装，能适应不同形状和大小的车间布置；方便了设计、制造、安装，也便于维修保养；可以实现地面的全覆盖；既能有效收集，又节约了能源。 【EN】The invention discloses a fiber floater ground collecting system and a collecting unit, wherein the collecting system mainly comprises a ground collecting component, an air duct component and a fan, and is characterized in that: the ground collecting assembly is formed by splicing a plurality of collecting units; each collecting unit comprises a collector, a collecting seat and a horizontal mesh plate, the collector is in a hollow inverted right-edge frustum shape with a large upper part and a small lower part, the collecting seat is connected with a lower port of the collector, an air suction port is formed in one side of the collecting seat, and the horizontal mesh plate covers the upper port of the collector; the air duct assembly is respectively connected with the air suction ports of the collecting seats, and the outlet of the air duct assembly is connected with the fan. The invention can be spliced and assembled at will, and can adapt to the arrangement of workshops of different shapes and sizes; the design, manufacture and installation are convenient, and the maintenance is also convenient; the full coverage of the ground can be realized; not only can effectively collect the waste water, but also saves energy.

摘要：【中文】本发明公开了一种基于人工智能的印刷品质量检测方法及系统，属于图像处理技术领域。本发明的基于人工智能的印刷品质量检测方法，使用收集和预处理的数据集来训练印刷品检测模型，得到成熟的印刷品质量检测模型，使用所述印刷品质量检测模型对印刷品质量进行检测，并将检测结果进行显示。该发明的基于人工智能的印刷品质量检测方法能够更高效率的检验印刷品的质量问题，更进一步的保证印刷品质量，具有很好的推广应用价值。 【EN】The invention discloses a presswork quality detection method and system based on artificial intelligence, and belongs to the technical field of image processing. The printing quality detection method based on artificial intelligence trains a printing quality detection model by using a collected and preprocessed data set to obtain a mature printing quality detection model, detects the quality of the printing by using the printing quality detection model, and displays a detection result. The method for detecting the quality of the printed matter based on the artificial intelligence can be used for detecting the quality problem of the printed matter more efficiently, further ensuring the quality of the printed matter and having good popularization and application values.

摘要：【中文】蓝宝石表面结构与成分梯度层设计改善其焊接性能的方法，属于蓝宝石表面改性、蓝宝石/异质金属材料焊接领域。它是通过采用微波等离子体（H⁺、Ar⁺等离子）对蓝宝石表面进行刻蚀加工，使其表面形成结构梯度层；表面合金化技术（Ar⁺为放电气体）在蓝宝石表面分别制备成分梯度层；在前两步的基础上，采用常用焊料、真空焊接工艺，实现蓝宝石表面结构、成分梯度加工处理后的样品与异质金属材料的焊接。本发明为高性能、高可靠性蓝宝石/异质金属材料焊接结构的设计与制造提供理论支持与实践依据。 【EN】A method for improving the welding performance of sapphire surface structure and component gradient layer design belongs to the field of sapphire surface modification and sapphire/heterogeneous metal material welding. It is carried out by using microwave plasma (H)⁺、Ar⁺Plasma) etching the surface of the sapphire to form a structural gradient layer on the surface of the sapphire; surface alloying technique (Ar)⁺As a discharge gas) on the sapphire surface, respectively preparing component gradient layers; on the basis of the first two steps, the welding of the sample and the heterogeneous metal material after the processing of the sapphire surface structure and the component gradient is realized by adopting common welding flux and vacuum welding processes. The invention provides theoretical support and practical basis for the design and manufacture of the sapphire/dissimilar metal material welding structure with high performance and high reliability.