6results about How to "True restoration" patented technology

The present invention relates to the cross - technical field of tunnel engineering and geotechnical mechanics testing, and discloses a triaxial compression grouting test device and method with a variable bearing contact area, which includes a cube - shaped specimen; the loading system includes a reaction frame and a plurality of hydraulic rods rotatably connected to the reaction frame through driving members. The output ends of the hydraulic rods are circumferentially connected with a plurality of pressurizing mechanisms, and the output ends of the hydraulic rods are also detachably connected with a plurality of groups of bearing blocks arranged circumferentially. The front surfaces of the plurality of bearing blocks in each group are arranged in an inclined plane in the counter - clockwise direction, and the outer edges of the plurality of bearing blocks in each group gradually shrink in an arc shape. The plurality of pressurizing mechanisms are respectively used to abut against the front surfaces of the plurality of groups of bearing blocks, and the back surfaces of the plurality of bearing blocks are fitted with corresponding multi - layer nested bearing plates, and the bearing plates are used to abut against the end faces of the specimen. The present invention can more realistically restore the stress state of tunnel surrounding rocks, can make the bearing area adaptively adjust as the volume of the specimen decreases, and avoid stress concentration.

The application discloses a semantic segmentation method based on phase profile constraint and belongs to the technical field of computer vision. The method uses a calibrated camera-projector system to collect a two-dimensional texture image and a deformed fringe image of a to-be-measured scene under the same field of view; the deformed fringe image is solved through multi-step phase shifting and Gray code technology to obtain an absolute phase distribution and calculate a gradient field; according to a preset mutation condition, a physical edge profile reflecting the depth change of an object is extracted from the gradient field; the physical edge profile is mapped into the two-dimensional texture image based on the corresponding relationship of pixel coordinates to accurately define the semantic object area, the corresponding category label is given, and finally a semantic label mask image is generated. The application uses physical phase information to correct the uncertainty of visual texture edges, effectively solves the edge extraction problem under a complex light scene, realizes the automatic generation of semantic segmentation data, and improves the training precision and robustness of a semantic segmentation model.

The application discloses a motor bearing dynamic load testing device based on double-shaft coupling and relates to the technical field of bearing testing. The device is obviously different from the conventional bearing load testing mode in that a semi-linkage structure is formed by a power output shaft, a joint shaft and a power detection shaft, the semi-linkage structure is convenient for the acquisition process of subsequent rotation parameters, the accurate testing of the dynamic load of the motor bearing is realized through the cooperative work of a first sliding table, a second sliding table and a third sliding table, the design of the semi-linkage structure makes the power output and detection more flexible, the response characteristics of the motor bearing under different load conditions are accurately captured, the setting of multiple detection components and an axial polarization detection component further improves the comprehensiveness and accuracy of the testing, the active intervention of a pulse action component on a ball head rod simulates the working state of the motor bearing in different action environments, the pulse action component provides strong support for the performance evaluation and optimization of the motor bearing, and the accuracy of the testing data in the testing process is improved.

This invention discloses a method for monitoring and early warning of the resilience evolution of water resources systems based on GTWR regression, belonging to the field of water resources and environmental management technology. The method includes: constructing a resilience evaluation system for a water resources complex system in a specific watershed; acquiring multi-source data for nodes, determining the objective weights of indicators, and quantifying resilience scores; extracting spatial differentiation characteristics of resilience levels through spatial autocorrelation analysis, and identifying the set of driving factors using a geographic detector; introducing the GTWR model to calculate the spatiotemporal regression coefficients of each driving factor, dynamically identifying the heterogeneity of the driving mechanisms for resilience evolution; and establishing a graded early warning mechanism by combining resilience level standards and driving patterns. This invention solves the technical problem of traditional assessment methods neglecting spatiotemporal nonstationarity, and can accurately identify resilience bottlenecks in different regions and at different times, possessing high monitoring accuracy and practical value.

The present application relates to livestock state monitoring technical field, especially in kind of livestock outlier detection method, electronic equipment and computer storage medium, including the following steps: S1. Construct data set; S2. Use target detection tool to carry out object detection to each picture in data set, draw the position mark of each livestock; S3. The position mark of all pictures in data set is superimposed in position, and the hotspot map is drawn;S4. According to the position mark in picture, the distance value of each livestock and the density score value of each livestock are calculated;S5. If the distance value and the density score value of certain livestock meet the outlier condition, the livestock is regarded as outlier;S6. If the time of continuously finding the livestock regarded as outlier exceeds time threshold, it is determined that there is livestock outlier in the fence;The present application does not need to be matched with identity tag, identification and tracking technology, and the calculation amount is small, fully considers space density, resource distribution, group activity mode, individual difference and other factors, and the outlier recognition precision and efficiency are significantly improved.