8results about How to "Eliminate subjective errors" patented technology

This invention belongs to the field of materials testing technology and discloses a deep learning-based method and system for identifying the interface of SiC modified asphalt. It acquires multi-dimensional interface images through a layered time-series acquisition method using four devices: optical microscope, SEM, EDS-Mapping, and Raman spectrometer. Adaptive algorithms are used for targeted denoising, normalization, and registration, while attention mechanisms and weighted fusion strategies are combined to enhance interface features. Simultaneously, a multi-condition dataset containing a high proportion of minor defects is constructed to achieve deep fusion and accurate identification of multi-modal features, eliminating subjective errors from manual judgment and improving the fine-grained accuracy and detection efficiency of SiC modified asphalt interface identification. The U-Net model is improved for specific scenarios and designed to be lightweight. By optimizing the encoder-decoder structure, introducing a dual-channel attention mechanism and a condition-adaptive branch, and combining a loss function, the feature extraction capability of interface boundaries and minor defects is enhanced.

The application discloses a road construction safety monitoring method based on unmanned aerial vehicle image shooting, and belongs to the technical field of construction safety monitoring. The road construction scene is first divided into three risk partitions of a roadbed, a bridge and a culvert, and a foundation pit operation area, a differentiated unmanned aerial vehicle collection scheme is formulated, and a standardized image set with a time-space label of each partition is obtained; then, for each partition core danger source, corresponding safety monitoring parameters are extracted, and exclusive safety data sets of each risk partition are constructed; coupling analysis is carried out on the safety data set through the construction of parameter coupling correlation rules, and a danger hidden danger index of each partition is output; finally, risk grading alarm is completed in combination with a preset threshold rule, a safety monitoring report is integrated and generated and is pushed to corresponding management personnel. The application realizes global precise monitoring, risk quantitative evaluation and intelligent early warning of road construction safety, and greatly improves the efficiency and intelligent level of construction safety control.

This application relates to the field of automotive manufacturing process design, and discloses a method, apparatus, equipment, and storage medium for the layout design of standard parts. A local coordinate system of the mechanism is established using a coordinate system distance positioning algorithm. The mechanism layout surface of the standard part is identified based on this local coordinate system. The total weight is calculated based on the mechanism layout surface and the envelope size and material density of the standard part to match the standard part model, thus obtaining the target standard part. The initial layout position of the target standard part is calculated according to layout rules. An avoidance algorithm is used to eliminate interference areas of other standard parts, generating multiple initial layout points. The GA-PSO hybrid optimization algorithm is used to optimize these initial layout points to obtain the optimal layout point. Kalman filtering is introduced to predict and correct the layout position in real time, obtaining the target layout point. Adjustments are made to the target layout point using integer rules (e.g., whole numbers of five or ten), enabling intelligent calculation of the screw and pin layout positions.

This invention, entitled "A Method and System for Fetal Biological Angle Ultrasound Imaging Measurement Based on a Clock Coordinate System," belongs to the field of ultrasound imaging medical technology. The technical problem it aims to solve is the cumbersome operation, lack of intuitive results, and significant influence from changes in body position in existing fetal biological angle measurements. The key technical points are: acquiring fetal ultrasound cross-sectional images; determining the anatomical reference point and the target point to be measured; constructing a virtual clock coordinate system using the anatomical reference point as the origin and the direction pointing from the origin to a preset anatomical reference structure as the reference scale direction, and superimposing it on the ultrasound cross-sectional image; connecting the origin and the target point to be measured to form a target vector; calculating the physical angle of the target vector relative to the reference scale direction; and using an angle-scale mapping algorithm to convert the physical angle into a clock scale value and display it on the ultrasound cross-sectional image.

This utility model relates to the field of textile equipment technology, specifically to a rapid testing device for the tensile strength of elastic fabrics. The device includes a frame, a material guiding mechanism, and a loading mechanism. The material guiding mechanism comprises a first and a second set of guide rollers. The loading mechanism includes a loading rod and a linear drive. One end of the linear drive is connected to the frame, and the other end is hinged to the loading rod. A pressure sensor is mounted on the loading rod. Through this design, the linear drive, controlled by a program, can precisely execute pressure loading, pressure holding time control, and unloading actions, completely replacing manual bidirectional tensile testing. This thoroughly solves the problems of inconsistent testing speed and unstable pressure holding time, ensuring completely consistent testing conditions for each test.

This utility model discloses an automatic internal thread inspection machine, including a frame, a worktable mounted on the frame, and an inspection device. The inspection device includes a support and at least one inspection rod, each inspection rod being connected to the spindle of a drive motor. Each inspection rod is equipped with a torque sensor, and each inspection rod has an external thread at its bottom end. The automatic internal thread inspection machine also includes an automatic feeding device and a pushing device. The pushing device includes a first pushing plate, a first pushing cylinder, a second pushing plate, and a second pushing cylinder. The first pushing cylinder drives the first pushing plate to reciprocate along the X direction; the second pushing cylinder drives the second pushing plate to reciprocate along the Y direction. The technical solution provided by this utility model realizes continuous assembly line operation of "feeding, inspection, and unloading," significantly shortening the inspection cycle of individual parts and improving the inspection accuracy of parts.

The application discloses a kind of multi-dimension benchmark test data analysis method and device based on modular framework, it is related to test data analysis technical field, including: establishing unified connection obtains original data set and standardizes conversion formation structured data;Recognition tool type calls analysis plug-in interface conversion into format uniform comparable data;Construct data matrix, select benchmark system using adaptive algorithm and execute statistical fluctuation detection based on statistical rules, generate analysis result data;According to semantic analysis, optimal chart is matched and visual rendering is generated to generate report.It realizes benchmark test whole process automation closed loop, solves the tool island problem caused by tool data isomerism;Through plug-in architecture, the compatibility and efficiency of heterogeneous data processing are improved;Adaptive calibration and statistical detection are introduced, subjective error of manual selection benchmark is eliminated, the objectivity and scientificity of performance analysis are significantly enhanced, and intelligent generation of performance evaluation report is realized.