23results about How to "Eliminate subjective errors" patented technology

The invention provides a non-contact on-line measuring device and method for excavator structural members, a double-scanning system cooperation mode is adopted, a tracker and a ball cage scanner are respectively used on two sides of a detection device, the ball cage scanners are installed on a cooperative robot to execute automatic scanning actions, and meanwhile, the robot is driven by the robot to move. The tracker and the robot are both installed on the linear guide rail, displacement operation can be carried out, the scanning and collecting range of the system is expanded, and therefore full scanning work of the large structural part is completed. The two scanning systems scan and collect the structural member from the left side and the right side at the same time, then data are spliced together, a three-dimensional point cloud model of the structural member is obtained, size information is analyzed and extracted, a detection report is generated, communication with a workshop data management system is carried out, and measurement data are integrated and applied.

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 is suitable for the technical field of shield engineering data processing, and provides a multi-modal data fusion slag discharge quantity monitoring and early warning method, device and terminal equipment. The method comprises the following steps: acquiring first slag discharge quantities of each tunneling ring measured by a shield machine belt weighing system, weight time series data of a gantry crane during the process of hoisting and transporting slag, and preset upper and lower limit thresholds of the slag discharge quantity; determining actual and empty bucket weights of each slag bucket corresponding to each tunneling ring according to the weight time series data; determining a second slag discharge quantity of each tunneling ring according to the actual and empty bucket weights of each slag bucket corresponding to each tunneling ring; and monitoring and early warning the shield machine slag discharge quantity according to the difference between the first slag discharge quantity and the preset upper and lower limit thresholds of the slag discharge quantity, the difference between the first slag discharge quantity and the average of the slag discharge quantities of the previous N tunneling rings, and the difference between the first slag discharge quantity and the second slag discharge quantity. The application can realize high-precision accounting and real-time early warning of the slag discharge quantity.

The application relates to the technical field of interface measurement, and discloses an electrolytic aluminum electrolyte aluminum liquid interface measurement system based on conductive characteristics, which comprises a data acquisition module that obtains impedance distribution data at different depth positions by controlling a probe to move in a vertical direction and collecting impedance signals; the data acquisition module adopts a multi-frequency excitation mode to obtain impedance responses at different frequencies during the movement of the probe, and adaptively adjusts the movement speed of the sampling probe according to the stability of the collected signals; an impedance change rate is extracted according to the impedance distribution data, the interface is judged based on the impedance change rate, and a candidate interface of the electrolytic aluminum electrolyte aluminum liquid is determined; one candidate interface of the electrolytic aluminum electrolyte aluminum liquid is selected, random multi-point measurement is carried out in the horizontal direction of the candidate interface, measurement information in the horizontal direction of the candidate interface is collected, and an evaluation model is constructed; and the application helps to improve the recognition accuracy of the interface.

This invention belongs to the field of high-temperature heat pipe performance testing technology, specifically relating to a fully autonomous adaptive heat pipe heat transfer performance testing method. It includes the following steps: Step S1: Generating a heat flux density benchmark based on geometric features; Step S2: Using P... base Based on this, differentiated power loading is performed using a stage-dependent loading coefficient β. During step S2, steps S3 to S5 are executed in parallel: Step S3: Parallel execution of adaptive physical stage switching based on a dual criterion of "temperature-anomaly"; Step S4: Parallel execution of autonomous steady-state determination for each power loading at key temperature points in the linear heat transfer stage and during each power loading in the limit approximation stage; Step S5: Parallel execution of full-cycle automated safety protection based on monitoring the second derivative of the evaporation section temperature. The beneficial effects are: improved adaptability of the testing method, compatible with heat pipes of different geometric dimensions; and effective improvement of testing efficiency through the implementation of a staged control strategy.

The present application relates to the technical field of lithium battery production, and particularly relates to a kind of detection method of lithium ion battery positive pole slurry stability, comprising the following steps: S1: immediately after slurry preparation, sample is removed to rheometer, amplitude scanning test is carried out, and storage modulus G' and phase angle delta are recorded;S2: slurry is prepared again, immediately after slurry preparation, it is removed to rheometer, and stress scanning test is carried out, and yield stress is recorded;S3: the stability of slurry is evaluated in combination with yield stress, storage modulus G' and phase angle delta three indexes.The present application simultaneously collects yield stress, storage modulus G' and phase angle delta three dimensional indexes, respectively represents the strength, stiffness and solid-like characteristics of slurry, realizes the multi-angle, three-dimensional evaluation of internal network structure stability of slurry, and solves the technical problems that the existing detection method has poor accuracy, long time consumption, pre-treatment destroys the original structure of slurry and the single evaluation index leads to misjudgment.

The present application belongs to the field of medical image processing and biomedical engineering, and particularly relates to a dynamic contrast-enhanced magnetic resonance imaging reconstruction method based on pharmacokinetic model optimization. The steps are as follows: obtaining original image data, performing multi-scale data correction preprocessing on the original data to generate preprocessed image data; extracting a large blood vessel region based on the preprocessed image data as a candidate region of a contrast agent input function; constructing a heterogeneous nonlinear pharmacokinetic model; establishing a cooperative reconstruction mechanism of the heterogeneous nonlinear pharmacokinetic model and the preprocessed image data; integrating the kinetic constraint condition of the heterogeneous nonlinear pharmacokinetic model into the objective function of the preprocessed image data reconstruction as a loss term, and further iteratively updating the intermediate parameters and the initial reconstructed image. The method of the present application improves the accuracy of parameter estimation in the tumor lesion region through the adaptive heterogeneous nonlinear pharmacokinetic model.

The invention discloses a vehicle mobile phone volume change track detection method, device and equipment and a storage medium. According to the method, a Python automation script is used for controlling terminal equipment to execute a sound detection process, a target sound source is automatically triggered, a volume gear is adjusted, a sound scene is switched, and an operation environment is provided for sound data collection; according to an operation environment, a browser sound collection interface is synchronously called to capture physical parameters of loudspeaker sound of terminal equipment in real time, original collection data are obtained, the original collection data are calibrated and filtered, standardized sound data are generated, and the standardized sound data are displayed in real time through a visual interface. And after the detection is completed, the full-amount detection data is automatically packaged and stored according to the preset format, so that the full-automatic operation of the volume change track detection of the vehicle-mounted terminal and the mobile phone can be realized, the detection efficiency is remarkably improved, the subjective error of manual operation is eliminated, the environmental noise interference is effectively overcome, and the objectivity and accuracy of the detection data are ensured.

The invention provides a portable in-place detection device, a cabinet and equipment. The portable in-place detection device comprises a shell, a limit switch, an alarm device and a power supply. A mounting cavity is formed in the shell. The limiting switch is installed in the installation cavity of the shell and comprises a trigger ejector rod, and the trigger ejector rod penetrates through the side wall of the shell and extends out of the shell. The alarm device is fixed to the side wall of the shell, one end of the alarm device extends into the mounting cavity, the other end of the alarm device is exposed out of the shell, and the alarm device is connected with the limiting switch; the power source is installed in the installation cavity of the shell and connected with the limiting switch and the alarm device. When the trigger push rod is triggered, the limit switch is switched from an open state to a closed state, a closed loop is formed between the alarm device and the power supply, and the alarm device gives an alarm.

The application provides an epoxy asphalt curing state and construction feasibility analysis method, device, equipment, medium and program product, and relates to the technical field of road engineering.The method comprises the following steps: acquiring working condition data of to-be-tested epoxy asphalt mixture; the working condition data is data affecting the curing reaction progress and construction performance of the epoxy asphalt; based on the working condition data, curing degree prediction is performed through a pre-constructed curing degree dynamic prediction model to determine the curing degree of the to-be-tested epoxy asphalt mixture; based on the curing degree, construction feasibility analysis is performed through a pre-constructed grading judgment model to determine the curing state analysis result, construction feasibility analysis result and compaction analysis result of the to-be-tested epoxy asphalt mixture.Through the above method, subjective errors caused by manual experience judgment can be eliminated, the accuracy of the analysis result is improved, the road construction quality and control efficiency of the epoxy asphalt mixture are improved, material waste can be effectively avoided, and the construction period loss is reduced.

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.

The invention discloses a spinal cord injury post-neurological function comprehensive evaluation system based on big data. The system comprises a data acquisition module, a spinal cord injury multi-modal feature depth selection module, a pre-injury neurological function baseline construction module and a double-reference spinal cord injury neurological function comprehensive evaluation module. The invention relates to the technical field of medical data processing, in particular to a spinal cord post-injury neurological function comprehensive evaluation system based on big data, which innovatively combines a pre-injury neurological function baseline construction module and a double-reference spinal cord injury neurological function comprehensive evaluation module to improve the comprehensiveness and accuracy of evaluation results; a collaborative correction feature screening algorithm fusing ternary mutual information is provided, and the model evaluation precision and stability are improved; the clustering algorithm is innovatively improved by fusing a high-dimensional vector included angle variance quantification method and a core point secondary evaluation strategy based on a reverse neighborhood number evaluation mechanism, the accuracy of a clustering result is improved, and the accuracy of a neural function evaluation result after spinal cord injury is improved.

This invention discloses a micro-displacement measurement device and method based on a Michelson interferometer and a wedge. The device includes a wedge assembly, a loading test platform, and a vertical Michelson interferometer. The vertical interferometer guides the measurement beam vertically downward through a beam splitter. The wedge assembly is located in this optical path and can move laterally with the deformation of the sample under test, thereby changing the thickness of the medium through which the beam passes, causing changes in the interference fringes. The method automatically identifies the number of fringe changes through image acquisition and processing, calculates the micro-displacement by combining it with the wedge parameters, and then solves for material parameters such as Young's modulus and coefficient of linear expansion. This invention solves the problem of spatial integration with large loading equipment by using a vertical optical path, avoids frictional interference from the traditional moving mirror method by using a laterally moving wedge, and improves measurement accuracy and efficiency through automated image processing.

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.

The invention provides a method and a device for detecting abnormal obstacle avoidance of an automatic driving vehicle, and relates to the technical field of automatic driving. The detection method comprises the following steps: acquiring a target driving speed and an actual chassis speed; when it is monitored that the target driving speed is larger than zero and the duration when the actual chassis speed is zero exceeds a preset time threshold value, triggering collection of field environment information of the automatic driving vehicle; and judging whether an obstacle meeting the obstacle avoidance condition exists in front or not. According to the method, the vehicle target and the actual speed are compared in real time, and time threshold value screening is assisted, so that transient abnormal parking obstacles which are difficult to perceive manually can be automatically captured; and meanwhile, multi-dimensional objective verification is carried out in combination with deep learning visual perception and radar ranging, so that single sensor interference and human subjective errors are effectively eliminated, and the accuracy and reliability of abnormal obstacle avoidance detection of the automatic driving vehicle are remarkably improved.

The utility model discloses an aperture measuring device for main shaft product processing, comprising a workbench, one end of the top of the workbench is provided with two cross holes, the workbench is provided with a support mechanism close to the cross holes, the top of the workbench is fixedly connected with a U-shaped frame at the other end of the support mechanism, and the top of the U-shaped frame is rotatably sleeved with a first screw rod. The top of the first screw rod is fixedly connected with a hand wheel, the circumferential surface of the first screw rod is in threaded connection with a first threaded connection block, the middle of the first threaded connection block is fixedly sleeved with a screw rod nut matched with the first screw rod, the first threaded connection block is attached to the inner wall of the U-shaped frame, and the end, close to the supporting mechanism, of the first threaded connection block is fixedly connected with a rectangular plate. According to the utility model, the supporting mechanism ensures that the main shaft is in a stable and accurate measurement posture, so that the diameter of the main shaft hole in the vertical direction is accurately matched with the measurement claw, the measurement error caused by inclined placement of a workpiece is reduced, the subjective error of traditional manual measurement is effectively eliminated, and high-precision aperture data acquisition is achieved.

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 utility model relates to the technical field of rain gauges, in particular to a rainfall collection device which comprises a base, a controller and a supporting mechanism. The base is provided with a tipping bucket and a first containing groove in the peripheral wall, and the top detachable protective cover is provided with a second containing groove. The controller is integrated with a gyroscope attitude sensor chip (with the precision of + / -0.05 degrees) and an indicator lamp and is used for collecting tipping signals of the tipping bucket. The supporting mechanism is rotationally connected with the base and is accommodated in the second accommodating groove of the protective cover in a normal state; and during field deployment, the supporting legs are rotated into the first accommodating grooves of the base and extend outwards to form the supporting legs. In the supporting state, the gyroscope monitors the posture of the base in real time, when the base reaches the horizontal position, the controller triggers the indicator light to emit light, and instant visual calibration in the installation process is achieved. A dynamic storage mechanism enhances environmental adaptability, and an electronic horizontal calibration system thoroughly eliminates subjective errors of manual leveling, so that the problems of tipping bucket volume deviation and overturning delay caused by an inclination angle are avoided, and data reliability in a complex environment is guaranteed.

The application discloses a cervical cancer prognosis prediction method, system, device and storage medium, which is applied to the technical field of medical image processing and prognosis prediction, and the method comprises the following steps: acquiring a CT image sequence of a patient, and pre-processing the CT image sequence; segmenting the pre-processed CT image by using a trained segmentation model to obtain a segmentation mask of a tumor region; extracting comprehensive features from the pre-processed CT image based on the segmentation mask, and acquiring clinical features of the patient; inputting the comprehensive features and the clinical features into a trained prognosis prediction model to output a prognosis prediction result of the patient; and the application can accurately predict the disease-free survival period of a patient receiving radical radiotherapy by combining multi-modal data, so that the risk patients can be identified in the early stage of treatment, and targeted intensive treatment or unnecessary excessive treatment can be avoided.

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.