Abstract: A plurality of pieces of to-be-processed data are obtained, and a plurality of groups corresponding to the plurality of pieces of to-be-processed data are further obtained. Watermarks are added to to-be-processed data in the target group by using the target group as a granularity. Because watermarks are added to the plurality of pieces of to-be-processed data by using the group as the granularity, although the to-be-processed data in the group is modified due to watermark adding, the to-be-processed data changes within a range of a small amount of to-be-processed data included in the target group, and does not change within a range of the to-be-processed data, thereby alleviating a problem that the data is severely distorted after watermark adding. When to-be-processed data with similar semantics is placed in a same group, semantics of the to-be-processed data in the target group has a relatively small change after watermark adding.

Abstract: A heat pump system, a heat management method and a vehicle are provided. The heat pump system includes an integrated heat exchanger integrated with a superconducting liquid flow passage and a refrigerant flow passage. The refrigerant flow passage is provided inside an on-board refrigerant circulation loop and is used for cooling and/or heating to adjust the temperature within a passenger compartment of a vehicle. The superconducting liquid flow passage is in communication with a motor heat dissipating conduit, for absorbing the heat generated by an on board motor and transferring the heat to the integrated heat exchanger by means of phase change heat transfer. The heat pump system can increase the energy utilization rate for the vehicle and reduce the allowable ambient temperature of the heat pump system.

Abstract: Disclosed are a method for evaluating a geometric form of a honeycomb product and a system for detecting and evaluating a geometric form of a honeycomb product. The method for evaluating the geometric form includes: acquiring a top-surface image and a side-surface image of the honeycomb product; acquiring vertex coordinates by extracting vertices from the top-surface image; acquiring serial numbers of six vertices of each cell by reconstructing the cells of the top-surface image; computing deviation angles of six interior angles of each cell based on the serial numbers and vertex coordinates of the six vertices of each cell; extracting a top-surface side boundary and a side-surface side boundary of the honeycomb product from the top-surface image and the side-surface image; computing a maximum top-surface deflection and a maximum side-surface deflection of the honeycomb product based on the top-surface side boundary and the side-surface side boundary.

Abstract: The present invention discloses a method and system for recognizing a geometric regularity image of a honeycomb structure. The method includes the steps of image acquisition, image processing, vertex extraction, cell reconstruction, and quality evaluation, wherein a step of binaryzation is set between the step of image processing and the step of vertex extraction, and is to set a pixel value of a background in the image to be 0 and set a pixel value of a honeycomb skeleton in the image to be 1 to form a binary image, and the step of quality evaluation is to calculate angular deviation values of all the cells and an average thereof as well as linear deviation values and an average thereof based on the reconstructed cell image, and determine whether the honeycomb structure is qualified or not by comparing with a set tolerance zone.

Abstract: A data masking method includes: displaying one or more groups of relational data, where the relational data includes a data subject, privacy data, and a relationship that the data subject and the privacy data meet; obtaining selection of a user for target relational data in the one or more groups of relational data; and performing masking processing on the target relational data in a data source.

Abstract: Disclosed are a method for evaluating a geometric form of a honeycomb product and a system for detecting and evaluating a geometric form of a honeycomb product. The method for evaluating the geometric form includes: acquiring a top-surface image and a side-surface image of the honeycomb product; acquiring vertex coordinates by extracting vertices from the top-surface image; acquiring serial numbers of six vertices of each cell by reconstructing the cells of the top-surface image; computing deviation angles of six interior angles of each cell based on the serial numbers and vertex coordinates of the six vertices of each cell; extracting a top-surface side boundary and a side-surface side boundary of the honeycomb product from the top-surface image and the side-surface image; computing a maximum top-surface deflection and a maximum side-surface deflection of the honeycomb product based on the top-surface side boundary and the side-surface side boundary.

Abstract: The present invention discloses a method and system for recognizing a geometric regularity image of a honeycomb structure. The method includes the steps of image acquisition, image processing, vertex extraction, cell reconstruction, and quality evaluation, wherein a step of binaryzation is set between the step of image processing and the step of vertex extraction, and is to set a pixel value of a background in the image to be 0 and set a pixel value of a honeycomb skeleton in the image to be 1 to form a binary image, and the step of quality evaluation is to calculate angular deviation values of all the cells and an average thereof as well as linear deviation values and an average thereof based on the reconstructed cell image, and determine whether the honeycomb structure is qualified or not by comparing with a set tolerance zone.