25results about How to "Reduce system error" patented technology

This invention discloses a multi-channel electromagnetic induction detection method and system based on uniform magnetic field constraint. A uniform magnetic field is constructed within the detection area of ​​the structure under test. Electromagnetic induction response signals are acquired through multiple channels under the constraint of the uniform magnetic field, and the spatial coordinates of each acquisition channel are marked. The raw electromagnetic induction signals acquired by each channel are preprocessed, including noise reduction filtering, envelope extraction, and amplitude normalization. A deep learning model is then used to extract structural features from the preprocessed multi-channel electromagnetic response signals. Based on the spatial position information of each acquisition channel, magnetic field uniformity parameters, and response characteristics, a channel correlation weight matrix is ​​constructed to describe the spatial consistency and physical coupling relationships between channels. A multi-channel joint optimization model is constructed, and the equivalent electromagnetic parameter distribution inside the structure under test is reconstructed through iterative solution. This invention improves the reliability, repeatability, and engineering applicability of electromagnetic induction detection results.

The invention discloses a skin high and low temperature simulation test method and system, and relates to the technical field of skin tests.The technical scheme is characterized by comprising the following steps that a target test skin area with smooth plane characteristics is marked as a smooth surface test area; marking the target test skin area with the texture concave-convex features as a texture surface test area; processing the historical test data corresponding to the smooth surface test area to obtain a first feature influence coefficient, and processing the historical test data corresponding to the texture surface test area to obtain a second feature influence coefficient; processing the initial skin physiological parameter detection data according to the first feature influence coefficient and then outputting first test feedback information; according to the second feature influence coefficient and the average temperature difference change value of the texture surface test area, a first physiological parameter compensation error value is obtained, and the effect is that the accuracy of skin physiological parameter detection is improved.

The utility model relates to a chemical experiment instrument field, specifically read the auxiliary device of burette scale, including the clamp, the inner wall between the clamp is provided with burette tube body, one side of the clamp top is provided with the auxiliary observation mechanism, the auxiliary observation mechanism includes the casing, the utility model discloses through the clamp and auxiliary observation mechanism, can make the experimental personnel in the use burette process, guarantee the standard of operation method and reading mode, avoid when using burette, appear the case of looking down and looking up burette scale, thereby avoid the error that appears after looking down and looking up burette scale, and then can improve the accuracy and standardization of experiment operation, can further reduce the labor intensity of the labor of the laboratory personnel, be favorable to the physical and mental health of practical personnel, improve the accuracy of reading, avoid the error of artificial reading, greatly reduce the random error and system error of measurement.

The invention belongs to the technical field of ship inspection, and particularly relates to a gravity center static detection device and method for an ultra-large ship block, and the device comprises a heavy-load hydraulic lifting system, a pose adjustment platform, a three-axis tilt angle sensor, a pressure sensor, a laser displacement sensor, a weighing module, an ultra-wide band positioning system and other parts. According to the method, a distributed measurement mode is adopted, accurate and controllable oblique supporting force is introduced, the supporting force size, the spatial position and the inclination angle data of all supporting points are synchronously obtained, and the barycentric coordinates of the ship segments in the three-dimensional space are comprehensively solved, so that the problem that the barycentric height of the ultra-large ship segments is difficult to accurately measure is solved. In the whole detection process, ship sections do not need to be suspended or inclined, and static and safe measurement of the three-dimensional gravity center is achieved. The multiple detection devices are arranged in a distributed mode and can flexibly adapt to ship segments of different sizes, system errors and random errors are effectively reduced, and the detection precision is remarkably improved.

The present application relates to a kind of tool measuring method and system based on UG / NX software, based on UG / NX software, comprising: the tool model created after using reverse scanning device to scan cutting tool is obtained;Obtain the key features of the cutting tool set;Obtain the key parameters of the cutting tool set;Based on the tool model, key features and key parameters, using static installation size automatic measurement algorithm and / or static non-installation size automatic measurement algorithm, the automatic measurement calculation of static installation geometric dimension and / or static non-installation geometric dimension of cutting tool is carried out on the tool model;Output the measurement data calculated by static installation size automatic measurement algorithm and / or static non-installation size automatic measurement algorithm.The present application combines reverse scanning and UG / NX software, can greatly improve the measurement accuracy and measurement efficiency of tool, improve product quality, bring more economic benefits for enterprise.

The invention relates to the field of material mechanical property testing, and provides an in-service material property detection system based on an indentation method, comprising: an excitation module for applying a composite dynamic excitation load to a pressure head when the spherical pressure head is pressed into a to-be-detected material; the signal acquisition module is used for synchronously acquiring a dynamic load signal and a dynamic displacement signal in the pressing-in process of the pressing head; the data processing module is used for calculating an instantaneous phase difference according to the dynamic load signal and the dynamic displacement signal, constructing an evolution curve of the instantaneous phase difference along with the change of the pressure depth, and extracting a first characteristic depth, a second characteristic depth and a phase hardening index from the evolution curve; and the performance resolving module is used for calculating the elastic modulus and the yield strength of the to-be-tested material according to the first characteristic depth, the second characteristic depth, the phase hardening index and the mapping relation model. According to the method, the plastic hardening constitutive relation of the material does not need to be preset, rapid and micro-damage detection of the tensile property of the material can be achieved through single-time micron-order pressing-in, and the method is particularly suitable for field evaluation of in-service equipment.

This invention discloses a method for predicting the characteristics of amorphous oxide semiconductor devices based on a hybrid dataset. The method involves constructing a hybrid dataset of drain-source currents for amorphous oxide semiconductor devices and using it to train an artificial neural network model. Device size parameters and voltage parameters are input into the trained artificial neural network model, which outputs predicted drain-source current values. Based on the device's voltage parameters and the corresponding predicted drain-source current values, the electrical characteristics of the amorphous oxide semiconductor device under different device size parameters are predicted. This invention rationally integrates data from different sources within a unified framework, fundamentally resolving the contradiction between insufficient measured data and significant deviations in simulation data in traditional modeling methods. It achieves a data fusion approach of "measured data as the primary source, supplemented by simulation data," making it easier for the neural network to learn electrical laws consistent with real devices, thereby further improving the stability, accuracy, and physical consistency of the prediction model.

The invention provides equipment and a method for measuring lodging resistance of rice, and relates to the technical field of agricultural machinery. The equipment comprises a vertical supporting rod and an overturning supporting rod hinged to the lower end of the vertical supporting rod, a thrust measuring part is installed at the hinged position, a straw holding assembly and a lower straw shearing assembly are integrated on the thrust measuring part, and a mass measuring part and a power supply battery are arranged on the vertical supporting rod. The method comprises the following steps: measuring internode breaking strength; selecting rice plants and measuring the height; bundling at a position 20cm away from the ground surface; applying a thrust to incline for 45 degrees, and measuring the thrust; after shearing, weighing the weight of the upper part; and calculating a bending moment and a lodging index. According to the scheme, thrust, weight and shearing parameters are synchronously obtained through an integrated structure, the field test efficiency and data accuracy are improved, manual operation errors are reduced, and the method can be used for evaluating the lodging resistance of rice.

The present disclosure provides a target detection method and device, electronic equipment and storage medium. The present disclosure relates to the field of automatic driving, in particular to the field of image recognition of automatic driving. The specific implementation scheme is: in response to a start operation of a vehicle, a camera is controlled to capture an image of a road where the vehicle is located at the current time, and the image is an initial image; in a case where a virtual camera is turned on, the initial image is pixel mapped based on a homography matrix to obtain a virtual camera image; and the virtual camera image is input into a first detection model trained in advance to detect the virtual camera image to obtain a first target detection result. According to the disclosure of the present scheme, the system error caused by the difference in camera parameters can be reduced, and the accuracy of target detection can be improved.

The application belongs to the field of biomechanical test data processing, and discloses a skin creep compliance construction method, system, device and storage medium. The method performs negative pressure suction test on the tested skin, obtains test parameters and original displacement-time data of the tested skin in the test process; identifies a test starting point, a creep starting point and a test termination point according to the change of the displacement of the tested skin with the test time; determines a compensation factor based on the displacement change amount from the test starting point to the test termination point and the displacement change amount from the creep starting point to the test termination point; compensates the displacement value of the tested skin based on the test parameters and the compensation factor, and obtains a creep compliance sequence according to a nonlinear calculation relationship.

The application discloses a method for early warning, monitoring and processing of grouting risk of thin-bed rock separation layer, and belongs to the field of mine safety mining and grouting engineering; the method constructs an in-situ test space by constructing an independent monitoring borehole and sealing the borehole at the interface; a water pressure test is started before grouting, a sliding time window is used to identify a steady state and to obtain a dynamic initial pressure benchmark value; the borehole pressure is collected in real time during grouting, and the pressure amplitude and the change rate characteristics are calculated; the two characteristics are input into a finite state machine logic, and a graded early warning state word is output after anti-jitter accumulation by a counter; a control system drives a frequency converter to execute closed-loop pressure reduction or triggers emergency shutdown and pipeline pressure relief according to the early warning state word. The application eliminates early warning distortion caused by geological differences and equipment interference, and realizes accurate identification and automatic intervention of grouting risk.

The application belongs to the field of biomechanical test data processing, and discloses a skin creep compliance construction method, system, device and storage medium. The method performs negative pressure suction test on the tested skin, obtains test parameters and original displacement-time data of the tested skin in the test process; identifies a test starting point, a creep starting point and a test termination point according to the change of the displacement of the tested skin with the test time; determines a compensation factor based on the displacement change amount from the test starting point to the test termination point and the displacement change amount from the creep starting point to the test termination point; compensates the displacement value of the tested skin based on the test parameters and the compensation factor, and obtains a creep compliance sequence according to a nonlinear calculation relationship.

This invention relates to the field of ground testing technology for spacecraft attitude control systems, specifically providing a ground testing method for the accuracy of a multi-level composite attitude control system. First, a fully physical simulation ground testing platform is constructed, including an on-orbit environment simulation system and a multi-level composite attitude control simulation system. Two reference calibration devices are built using a calibrated dual-axis photoelectric autocollimator, and two measurement reference units are constructed using the dual-axis photoelectric autocollimator and a multifaceted prism. Based on a cubic mirror, the calibrated dual-axis photoelectric autocollimator, and the dual-axis photoelectric autocollimator, zero-position reference calibration and angle calibration are performed on the multi-level composite attitude control simulation system. After calibration, the multi-level composite attitude control simulation system is controlled to move from the initial position to the final position, and angle information is collected through the two measurement reference units. The attitude control accuracy is calculated based on the angle information. This invention realizes ground testing of a multi-level composite attitude control system based on fully physical simulation.

The invention discloses a detection method for rapidly screening a low-pressure hollow fiber nanofiltration membrane product, and relates to the technical field of membrane separation. The method comprises the following steps: preparing a to-be-tested nanofiltration membrane subjected to basic physicochemical property characterization into a small test assembly with a determined effective membrane area, performing short-term filtration test by using target raw water in a constant flux mode, and calculating the total performance score of the nanofiltration membrane through a comprehensive scoring model on the basis of collected dynamic performance data, and then comparing the calculated total score with a short-term score and long-term performance associated data experience library or experience model pre-established based on historical data, and qualitatively predicting the performance of the nanofiltration membrane in long-term operation under the target water quality condition. And rapid, accurate and comprehensive performance detection and prediction are realized.

A charge-discharge control circuit with adjustable gear, characterized in that: the circuit comprises a charge-discharge unit, a mirror unit and an error comparison unit; wherein the charge-discharge unit is connected with the CO and DO pins of the charge-discharge control chip respectively, and is used for outputting an actual charge-discharge voltage based on the control of the charge-discharge control chip; the mirror unit is connected with the charge-discharge unit and a reference current respectively, and is used for generating a reference charge-discharge voltage based on the reference current and the internal resistance of the mirror unit; the error comparison unit compares the actual charge-discharge voltage with the reference charge-discharge voltage to obtain a detection result. The method is simple, the circuit structure is easy to adjust, the influence of the offset voltage and the direct current working voltage is eliminated, the accurate output of the detection result is realized, and the system error is reduced.

The application relates to the technical field of liquid level measurement, in particular to a liquid level measurement data processing method and system based on a liquid level sensor and the liquid level sensor, the method comprising the following steps: S1. constructing a liquid level measurement optical system and collecting liquid level measurement data in real time; S2. obtaining a liquid level measurement noise interference degree evaluation value through processing, comprehensively analyzing a liquid level measurement data demand correction index, and correcting the liquid level measurement data according to the liquid level measurement data demand correction index; and S3. comprehensively analyzing a liquid level measurement data correction effect parameter, evaluating and feeding back the corrected liquid level measurement data, the application can provide a basis for liquid level measurement data correction by providing a liquid level measurement data processing method and system based on a liquid level sensor and the liquid level sensor, the effective data correction can ensure that the liquid level measurement data is more accurate and reliable, and the frequent calibration and maintenance of the liquid level sensor can be reduced.

The invention discloses a curtain wall multi-glass flatness measuring device based on laser detection, and belongs to the technical field of laser flatness detection, the curtain wall multi-glass flatness measuring device comprises an annular frame, and the lower surface of the annular frame is annularly and fixedly connected with at least five supporting pipes; a first through hole is formed in the annular frame, and the first through hole is communicated and aligned with the supporting pipe; an annular track is installed on the upper surface of the annular frame and provided with two stations, the first station is that the annular track and the annular frame are concentric, and the second station is that the annular track and the annular frame are eccentric. A sliding block is connected to the annular track in a sliding mode, a bearing rod is fixedly connected to the sliding block through a screw, a mounting base is mounted at the end of the bearing rod, and the laser detector is mounted on the mounting base. According to the invention, frame obstruction can be broken through, and full-area accurate detection is realized.

The invention discloses a multi-mode microbial sensor and a detection method thereof, and belongs to the field of microbiological detection.The sensor comprises an enrichment amplification chamber, a detection chamber and an analysis chamber, the enrichment amplification chamber is used for injecting a sample to be detected, conducting targeted enrichment and magnetic separation on the sample to be detected to obtain a separated sample, conducting amplification on the separated sample, and obtaining the sample to be detected; an amplification sample is obtained; the detection chamber comprises three sub-chambers, each sub-chamber is communicated with the enrichment amplification chamber, a detection module is deployed in each sub-chamber, and the detection modules are used for measuring monitoring signals of different modals of an amplified sample; a data processing module is deployed in the analysis chamber, the detection module in each sub-chamber is electrically connected with the data processing module, and the data processing module is used for performing fusion analysis on the monitoring signals of the three modes according to a preset detection method to obtain a detection result. According to the method, system errors and batch differences in the detection process can be effectively reduced, and the accuracy and reliability of microbiological detection are remarkably improved.

The invention relates to the technical field of radar detection, in particular to a visibility fusion inversion method based on a cloud radar and a laser radar, and the method comprises the steps: obtaining the equivalent reflectivity factor of the cloud radar, the backscattering echo power of the laser radar and the temperature and humidity data of a ground meteorological station, carrying out the space-time matching of multi-source data, defining the boundary of a near-field common-view area, and carrying out the calculation of the near-field common-view area. Carrying out inversion to obtain a laser radar extinction coefficient in the near-field common-view area; based on the laser radar extinction coefficient in the near-field common-view area and the cloud radar equivalent reflectivity factor in the near-field common-view area, combining the temperature and humidity data to solve a dual-band atmospheric droplet spectrum equivalent constraint factor; reconstructing to obtain a full-scale liquid water content profile based on the dual-band atmospheric droplet spectrum equivalent constraint factor and a full-scale cloud radar equivalent reflectivity factor; and based on the full-scale liquid water content profile, reversely reconstructing a full-scale equivalent extinction coefficient, and carrying out inversion to obtain a full-scale visibility profile.

The application provides a heat treatment water hydration shale porosity prediction method based on energy theory, comprising: carrying out rock uniaxial or triaxial compression test on target shale under different heat treatment temperature and hydration time conditions, obtaining full stress-strain curve, and calculating total energy of external load input through integration; based on the first law of thermodynamics, the total energy of the external load input into the target shale is decomposed into releasable elastic strain energy and irreversible dissipation energy; the adsorption behavior of clay minerals of the target shale in the hydration process is quantified as the pore surface area by using the Langmuir isothermal adsorption theory; based on the fact that the pore surface area increment generated by hydration adsorption and the pore surface area increment generated by thermal stress cracking jointly constitute the total increment of the internal pore surface area of shale, and combining the geometric correlation between the pore surface area and the pore volume, the heat treatment water hydration shale porosity is predicted. The method provides a quantitative basis for shale gas reservoir evaluation, fracturing temperature optimization and wellbore stability evaluation.

This invention relates to the field of engineering component quality inspection technology, and discloses a method and system for inspecting integral box culvert finished products. The method includes establishing a unique identifier for the finished box culvert, establishing a workstation coordinate system based on a target, performing parallel data acquisition using two types of acquisition devices to obtain initial spatial morphology data and initial state data, calculating data quality indicators and suspected abnormal areas, adjusting acquisition parameters to enhance acquisition of suspected abnormal areas, obtaining spatial morphology data and state data, generating a three-dimensional digital model of the box culvert for defect judgment, obtaining the defect location, size, and level, comparing the geometric parameters of the defects with allowable deviations, providing assemblability judgment results and information on areas requiring rework according to preset judgment rules, and generating an inspection report from the acquired data, processing results, and conclusion information and storing it in an inspection database. This invention improves inspection coverage, reduces missed detections and false judgments, increases batch inspection efficiency, and reduces the risk of on-site assembly rework.

This invention relates to a method, apparatus, and device for anti-angle misjudgment angle measurement based on vortex electromagnetic waves, and relates to the field of radar signal processing technology. The method includes: using a circular array as a transmitter, generating and transmitting multiple modes of vortex electromagnetic waves to illuminate the target, obtaining echo signals; selecting a dual-mode combination, processing the echo signals corresponding to the combination to obtain angle measurement values ​​corresponding to each combination; calculating the error between any two sets of angle measurement values, comparing each error with a preset threshold to determine if angle misjudgment exists; if all errors are within the preset threshold, it is determined that there is no angle misjudgment, and the preset angle measurement value is output as the target angle measurement result; if an error exceeds the preset threshold, it is determined that there is angle misjudgment, and the unaffected measurement values ​​are filtered by the consistency and difference of each set of angle measurement values, and the target angle measurement result is output. This invention can achieve robust, continuous, and accurate measurement of target angles in complex interference environments.

The application belongs to the technical field of soil conductivity determination, and relates to a soil salt content conductivity rapid determination method based on isotope effect correction, comprising the following steps: analyzing soil ion content and correlation of a to-be-measured area and screening core ion components; according to the core ion proportion, an easily soluble inorganic reagent is weighed, dissolved with water and constant volume to form a standard mixed salt mother liquor; the mother liquor is diluted into gradient concentration standard solutions, conductivity is determined, a linear regression equation is established; after the to-be-measured soil is dried and mixed with water, oscillation extraction and filtration are carried out, the conductivity of the filtrate is determined, the standard curve is substituted and corrected by the isotope effect, and the soil water-soluble total salt content is calculated. The application significantly improves the determination accuracy and consistency by optimizing ion matching degree and using the isotope effect to stabilize the ion activity coefficient; the mother liquor is clear without precipitation and has strong stability; the standard curve is excellent in linearity; the operation is simple and fast, meets the national standard water-soil ratio requirement, and is suitable for rapid detection of a large number of soil samples.

The invention discloses a terahertz wave absorptivity measuring device based on electric substitution, and relates to the technical field of terahertz wave detection, and the device comprises a terahertz wave transmitting module which is used for generating and transmitting a terahertz wave with a specific frequency; the absorption module is provided with a sample cell, the sample cell is used for bearing a to-be-tested sample, and the incident plane of the sample cell is perpendicular to the emergent direction of the terahertz wave transmitting module; the electric substitution module comprises a heating unit and a thermoelectric sensing unit, the heating unit is arranged opposite to the sample pool and used for applying heating power equivalent to terahertz wave energy to the sample to be detected, and the thermoelectric sensing unit is arranged close to the sample pool. According to the terahertz wave absorptivity measuring device based on electric substitution, the electric substitution principle is adopted, absorptivity measurement is achieved through energy equivalent conversion, a complex optical calibration system is not needed, the device structure is simplified, and the equipment cost is reduced.

This invention provides a workpiece surface roughness detection device and method. The device includes: a detection table having a guide rail groove whose axis passes through a central reference point, a reference workpiece groove and a comparison workpiece groove that are symmetrical about the central reference point; an electric guide rail slider module including an electric drive mechanism, a guide rail and a slider, the slider being fitted onto the guide rail and driven by the electric drive mechanism for distance measurement; a first non-contact distance sensor fixed on the slider, with the detection direction facing the reference workpiece groove; a second non-contact distance sensor fixed on the slider, with the detection direction facing the comparison workpiece groove; and a central control unit electrically connected to the electric drive mechanism, the first non-contact distance sensor, and the second non-contact distance sensor; the first and second non-contact distance sensors are the same type of non-contact distance sensor. This device utilizes the known characteristics of the surface contour of the reference workpiece to adjust the comparison distance data in real time, improving detection accuracy.