7results about How to "Avoid wrong choice" patented technology

The invention discloses an automatic part processing method based on CATIA and Excel. The method comprises the steps that a target part list is determined; a VBA program is utilized in Excel, part identifiers in the list are converted into combined search character strings capable of being recognized by CATIA, and special characters are automatically processed in the process; opening a general assembly in the CATIA, entering an advanced search interface, and importing the combined search character string; searching is executed to select 3D digital models corresponding to all target parts in batches at a time; and carrying out subsequent batch processing operation on the selected part set, wherein the subsequent batch processing operation comprises batch activation, color change, subset copying and creating or exporting. According to the method, whole-process automation from the list to three-dimensional model batch processing is achieved, manual operation of several hours is shortened to several minutes, the accuracy rate is 100%, the design efficiency and the data quality are greatly improved, and meanwhile based on a universal software platform, the implementation cost is low.

The invention discloses a method for batch equidistant adjustment of train operation plans of a CTC system based on a daily shift plan, and relates to the technical field of railway dispatching concentration. The method comprises the following steps: in response to a running line head node selected by a user, judging whether a preset condition is met; if yes, setting an adjustment range and an equidistant interval; loading the to-be-adjusted operation line meeting the condition according to the adjustment range; sorting the operation lines to be adjusted according to an increasing sequence of departure moments of the first nodes of the daily shift planning lines corresponding to the operation lines to be adjusted; synchronously traversing the sorted to-be-adjusted running lines and the corresponding daily shift planning lines, and performing batch equidistant adjustment calculation on each to-be-adjusted running line: if the departure time after equidistant adjustment is greater than the daily shift planning time, performing overall offset; otherwise, aligning to the daily shift plan time; and finally refreshing the running chart display. According to the invention, rapid and orderly adjustment of a large number of train operation plans is realized, delay propagation is effectively controlled, the workload of dispatchers is reduced, and the intelligent level of a CTC system is improved.

This invention discloses a method, apparatus, device, and product for determining positioning information in a 3D model. The method includes: determining a face of the 3D model as a reference plane; setting key characters; selecting nodes in the 3D model; creating positioning points at the selected nodes containing the key characters and characterized as points; and establishing direction lines for the positioning points, with the direction lines pointing to the horizontal, vertical, and normal directions extending from the reference plane. This invention provides a method, apparatus, device, and product for determining positioning information in a 3D model, enabling rapid creation of positioning points in a 3D model. It offers advantages such as reducing repetitive work intensity for personnel creating positioning points, minimizing missed or incorrect selections of positioning points, improving work efficiency, and being suitable for 3D models of various product types.

The invention relates to the technical field of remote sensing image processing, in particular to a farmland field boundary segmentation method based on a remote sensing image, and the method comprises the steps: determining a first time characteristic value based on the change condition of the reflectivity of each pixel point and all registration pixel points in a multispectral image at each collection moment in any characteristic wave band; and determining a second time characteristic value based on the correlation of the reflectivity of each pixel point and all the registration pixel points relative to the reflectivity of the other pixel points and the registration pixel points in any characteristic wave band, and obtaining a target point in combination with the first time characteristic value for segmenting the multispectral image of the target farmland. According to the method, the problem that non-target ground objects are mistakenly selected as seed points due to the fact that time sequence spectral features are ignored in a traditional method is solved, the seed point selection precision is improved by fusing time sequence and spatial features, and the precision of field boundary segmentation of a complex farmland scene is improved.

This application discloses an intelligent selection method for manufacturing process templates based on field matching and directed graph judgment, comprising: acquiring key attribute information of the task to be produced; traversing the process template library, comparing the types and quantities of input fields provided by the task with the predefined required fields of each template, and filtering out a set of candidate templates with matching fields; when the number of candidate templates is greater than one, acquiring a preset directed graph corresponding to each candidate template, wherein the directed graph contains judgment nodes and directed paths terminating at template nodes; solving for the output values ​​of each judgment node in the directed graph based on the key attribute information, and determining the template activation status based on the output values ​​of all judgment nodes on the directed path; and finally determining and outputting a unique process template from the set of candidate templates. This invention achieves automatic and accurate selection of process templates through a dual filtering mechanism of field matching and directed graph logical judgment, improving the efficiency of process preparation and the flexibility of rule configuration.

The utility model relates to the field of bathroom, disclose the regulator and closestool. The regulator includes: the connecting pipe, including the first pipe section and the second pipe section of series connection setting, the pipe orifice of first pipe section and second pipe section two mutually divergent orientation opposite and eccentric arrangement, first pipe section is used for with the butt joint of sewage pipe, and the lateral wall of first pipe section is equipped with the mounting portion, the connecting seat is used for with sewage pipe link, and the connecting seat is the annular structure, and the outside of first pipe section is covered, and the connecting seat has the limit portion, and along the axial direction of first pipe section, and the limit portion is equipped in the side of mounting portion close to second pipe section, and the axial limit of mounting portion is limited, and at least one of limit portion and mounting portion is annular structure. Utilize the eccentric arrangement of first pipe section and second pipe section, combine the characteristic that first pipe section can rotate 360 degrees, and only through the rotation can adjust the distance of second pipe section pipe orifice and closestool wall surface, thereby adapts to a variety of pit distance demand, thereby can reduce the independent model number of closestool.

This invention discloses a device operation process optimization system and device based on interactive behavior data, belonging to the field of human-computer interaction technology. The invention performs facial recognition on a designated device for the user to be operated on, recording all identified users as potential users. If several potential users exist, user filtering is performed to determine the primary user to complete the device operation; otherwise, the operation is directly performed based on the potential user. If user filtering is performed, multiple interaction judgments are conducted using camera interaction behavior data to determine whether to execute the human-computer interaction operation, thereby identifying the primary user. During the execution of the human-computer interaction operation, a simultaneous human-computer interaction operation judgment is performed to select the issued interaction behavior command. Based on the response of the potential users to the interaction behavior command, the corresponding primary user is determined to complete the device operation. This solves the problem in existing technologies where systems struggle to accurately identify target users, leading to incorrect identity matching and potential payment errors.