20results about How to "Avoid systematic errors" patented technology

The invention provides an intelligent detection method and system for absolute stress of a steering axle of a port machine, and relates to the technical field of stress measurement and detection. Carrying out synchronous correction and feature modeling on the collected data, and constructing an absolute stress calculation and intelligent analysis model; screening a structure benchmark operation interval based on the operation data, constructing a benchmark stress reference state, and evaluating the stability of the structure benchmark; on the basis, multi-axis decomposition is carried out on the absolute stress, a multi-axis stress decoupling coefficient is calculated, and multi-axis stress safety judgment and coordinated regulation are achieved; and further combining the stress time sequence evolution characteristics and the fatigue accumulation effect, evaluating the long-term stress evolution risk of the structure, and implementing steering, loading and maintenance strategies when the risk exceeds the limit. According to the method, online sensing, risk early warning and closed-loop optimization of the absolute stress of the steering axle are realized, and the operation safety and the structural reliability of the port machinery are improved.

The invention discloses a sonar image geometric correction method based on image optimization, and relates to the technical field of underwater sonar imaging, and the method comprises the steps: collecting a multi-source underwater observation data packet including sonar image original data, platform motion state data and underwater environment data, and carrying out the preprocessing; extracting sonar image original data from the multi-source underwater observation data packet, performing geometric coarse correction to obtain a pre-corrected sonar image, and performing motion compensation on the obtained pre-corrected sonar image to generate a motion corrected sonar image; constructing a joint optimization objective function, carrying out geometric fine tuning on the motion correction sonar image by adopting a sliding time window strategy, and outputting a geometric fine correction sonar image; geometric distortion caused by non-uniform motion of a platform, attitude disturbance and acoustic propagation distortion is effectively eliminated, inter-frame consistency and submarine topography continuity of sonar images are remarkably improved, and the method is suitable for high-precision operation scenes such as underwater surveying and mapping, target recognition and three-dimensional reconstruction.

The application discloses a fast robust monocular vision inertial positioning method and system, comprising the following steps: configuring IMU and monocular camera sensor parameters; IMU data preprocessing; IMU attitude initialization; extracting image features of a monocular camera, removing abnormal matching points and performing IMU pre-integration; monocular vision initialization; odometer attitude optimization, comprising the following steps: judging whether a feature point is mis-matched based on an IMU pre-integration result, constructing a feature point re-projection error Jacobian matrix, and optimizing inverse depth of the feature point and image frame attitude through block and diagonalization processing of the re-projection error Jacobian matrix; after completing current frame attitude updating, selecting a key frame based on a key frame identification rule; and judging according to a current frame, removing a certain frame in a sliding window to reserve a sliding window space for adding a latest frame. The application optimizes inverse depth of a feature point and image frame attitude through block and diagonalization processing of a re-projection error Jacobian matrix, and reduces computational complexity.

This invention discloses an accurate and comparable method for detecting low-concentration intracellular and extracellular *Streptocytoxin*, belonging to the field of environmental monitoring technology. The method includes the following steps: S1. Calibration of *Streptocytoxin* standards and construction of cross-platform standard curves; S2. Separation and pretreatment of intracellular and extracellular *Streptocytoxin* in water samples; S3. Solid-phase extraction to concentrate and enrich *Streptocytoxin*; S4. LC-MS / MS detection and quantitative calculation. This invention binds the LC-MS / MS results to the built-in standards of widely commercially available and validated ELISA kits, using the kit's built-in standards as a benchmark for standard calibration. This fundamentally avoids systematic errors between standards from different brands and enhances the correlation between ELISA and LC-MS / MS results, providing reliable methodological support for integrating long-term monitoring data from multiple reservoirs, comparing pollution levels across regions, and reanalyzing historical monitoring data.

This invention relates to the field of metrology calibration, and more particularly to an adaptive calibration method, apparatus, device, and storage medium for a metrology box. The method includes the following steps: powering on the metrology box normally, performing self-operating noise detection, and constructing a self-operating noise feature set; performing initial calibration and real-time metrological detection on the metrology box based on the self-operating noise feature set, outputting multiple metrological data sequences; performing sequence-by-sequence feature analysis and differential calculation of adjacent time periods based on the multiple metrological data sequences to obtain a feature difference value sequence; synchronously acquiring environmental monitoring parameters of the metrology box; tracing environmental interference sources based on the environmental monitoring parameters and marking interference sources; performing offset calibration based on the interference sources to obtain offset calibration reference parameters; and performing real-time operating condition metrological detection based on the offset calibration reference parameters. This invention achieves accurate and efficient metrology box detection and calibration.

This invention provides a method and related equipment for processing specimen stress data based on the mean stress distribution, comprising: determining the mean stress distribution of a target specimen; constructing a dynamic response reconstruction model based on the mean stress distribution; constructing a stress distribution function of the target specimen using a preset optimization algorithm; substituting the stress distribution function into the dynamic response reconstruction model for calculation to determine the target stress data of the target specimen; and testing and judging the applicability or failure risk of the target specimen under preset working conditions based on the target stress data. Through the above method steps, the actual stress state of the specimen under dynamic loading conditions can be analyzed, providing data for specimen performance evaluation and improving the accuracy and efficiency of specimen stress analysis.

The utility model belongs to the field of atom inertia measurement, and particularly discloses an auxiliary device for evaluating the Coriolis force of an atom interferometer, the auxiliary device comprises a lifting rotation supporting module and an inclination detection adjusting module, and the inclination detection adjusting module comprises an inclination detection unit and an inclination adjusting unit; the inclination detection unit is used for detecting the inclination of the vacuum container; the inclination adjusting unit is located at the bottom of the vacuum container and used for supporting the vacuum container and adjusting the vacuum container to be horizontal according to the inclination. The lifting rotation supporting module can be coaxially arranged under a vacuum container of the atom interferometer and can drive the vacuum container to rotate so as to modulate the Coriolis force. According to the invention, the effect of rotating the vacuum container in the atom interferometer with high efficiency and high precision can be realized.

This invention discloses a single-shot shock wave velocity measurement system and method with timing calibration capability. The single-shot shock wave velocity measurement system includes a target chamber, a probe laser generation module, a timing calibration target, an interferometer, a streak camera, a focusing lens, a timing laser introduction module, and multiple main laser generation modules. During the timing calibration of the single-shot shock wave velocity measurement system, a customized timing calibration target reflects the main laser signal and the probe laser signal along the same optical path. A focusing lens is used to improve the signal-to-noise ratio. Simultaneously, a dedicated timing laser transmission component introduces the timing laser signal into the slit of the streak camera. This allows for the simultaneous acquisition of the main laser signal, the probe laser signal, and the timing laser signal in a single-shot measurement, achieving in-situ precise timing calibration for a velocity measuring instrument corresponding to any reflective surface.

The application discloses a casing intelligent positioning and cutting method based on trajectory measurement, measures a ground horizontal long borehole opening position, obtains an initial position Z i (x0, y0, z0) of the horizontal long borehole, installs a borehole trajectory measuring instrument on a drilling machine, records trajectory information of each horizontal long borehole during horizontal long borehole construction, draws a trajectory L i (x, y, z) of each horizontal long borehole according to the initial position Z i (x0, y0, z0) of the horizontal long borehole and the trajectory information obtained in step two, installs a positioning node device on a hydraulic support behind an underground coal mining machine, only needs to put the trajectory data of the underground hydraulic support and the trajectory data of the ground borehole into a unified coordinate system for management and calculation, and can realize accurate positioning of a slurry outlet, adopts multiple hydraulic support position information to calculate and design a plane, improves the accuracy of slurry outlet position calculation, avoids systematic errors caused by individual hydraulic support position information errors, and solves the technical problem that the existing casing positioning and cutting method cannot accurately position the slurry outlet and cannot be applied to different working conditions.

This invention discloses an electrochemiluminescence microfluidic chip for the detection of multiple tumor markers, relating to the field of biodetection technology. It includes a substrate and a microfluidic channel system, an electrochemiluminescence detection unit, and a signal acquisition interface integrated on the substrate. The microfluidic channel system includes a sample inlet, a shunt structure, multiple parallel and equally spaced detection channels, and a waste liquid pool connected in sequence. The shunt structure includes a main channel and multiple branch channels integrally formed with the main channel. In this invention, the microfluidic channel system, the electrochemiluminescence detection unit, and the signal acquisition interface are integrated on the same substrate, achieving an integrated design for sample transmission, reaction, detection, and signal export. Compared to traditional distributed detection technologies, this significantly simplifies the detection operation steps, reduces the professional skills required of operators, and shortens the detection cycle, meeting the needs of rapid clinical diagnosis.

The invention discloses an interstitial oxygen content detection method for a heavily-doped silicon single crystal, which comprises the following steps: carrying out heat treatment at a target temperature on a heavily-doped silicon single crystal to be detected and a reference sample in an inert gas atmosphere, interstitial oxygen in the heavily doped silicon single crystal to be detected is converted into oxygen precipitation; respectively carrying out infrared spectrum measurement on the to-be-measured heavily-doped silicon single crystal and the reference sample which are subjected to heat treatment to obtain first infrared spectrum data of the heavily-doped silicon single crystal and second infrared spectrum data of the reference sample; performing differential processing on the first infrared spectrum data and the second infrared spectrum data; and determining the interstitial oxygen content corresponding to the characteristic absorption peak intensity from a preset standard model. Therefore, the measurement accuracy of the interstitial oxygen content is improved.

The invention relates to a clinical patient input and output volume recording and analyzing method and system. The method comprises the steps that an original perception data set of a patient is collected; preprocessing various types of data of the original perception data set to obtain a multi-modal feature set corresponding to each input / output event; inputting the multi-modal feature set into a pre-trained hybrid sensor data fusion neural network to obtain a structured input / output event data set; according to the structured input and output event data set, a body fluid equilibrium state sequence representing body fluid dynamic change characteristics of the patient is obtained; and according to the body fluid balance state sequence, utilizing a multi-task prediction model to predict a body fluid balance change trend of the patient in a future preset time period to obtain an input / output prediction result, synchronously calculating a dehydration risk, a water retention risk and an abnormal input / output risk, and generating a clinical risk assessment result set corresponding to the prediction result. According to the invention, the accuracy of recording and analyzing the input and output of clinical patients can be improved.

The application provides a target stereoscopic positioning method and system based on multi-node joint processing of a spaceborne radar, wherein the method comprises the following steps: deploying multiple satellites, obtaining a downward angle and a space cone angle of a target relative to the satellites; calculating three-dimensional coordinates of the target in a satellite antenna panel coordinate system; constructing a hierarchical conversion model from a geodetic coordinate system to a coordinate system of each satellite antenna panel; constructing an over-determined equation group with the target coordinates in the geodetic coordinate system as unknown quantities; solving the equation group by using a least square algorithm to obtain the three-dimensional coordinates of the target in the geodetic coordinate system; and finally converting the three-dimensional coordinates into longitude, latitude and height. The application utilizes the joint observation of multiple satellites to form redundant information, and introduces a rigorous hierarchical coordinate conversion model considering the orbit, the earth rotation and the installation attitude, so that the multi-satellite heterogeneous observation is unified to the same reference, and the over-determined equation group is solved, thereby significantly improving the accuracy and robustness of the target stereoscopic positioning.

The application discloses a kind of deep shale gas reservoir core adsorbed gas content calculation method based on molecular simulation, and relates to oil and gas field development technical field.The application first constructs shale nanometer pore model and shale gas molecular model to form shale gas reservoir molecular simulation model, simulates using shale gas reservoir molecular simulation model based on MD-GCMC simulation method, obtains the isothermal adsorption curve of shale gas under different pressure, temperature, pore size, establishes isothermal adsorption curve database, and carries out low-temperature nitrogen adsorption experiment to core sample in laboratory, obtains the total specific surface area of core sample and the specific surface area weight coefficient of each pore interval, combines microcosmic molecular simulation result and macroscopic core structure data, obtains shale gas absolute adsorption amount prediction function by weighting fusion to isothermal adsorption curve of shale gas and specific surface area weight coefficient, truly characterizes deep shale reservoir adsorption behavior, and realizes the accurate acquisition to deep shale gas reservoir core adsorbed gas content.

The application discloses a kind of based on deep learning's pulse parameter intelligent detection method and system, the method is applied to the time-frequency data of transient astronomical signal is carried out automatic analysis, comprising: S1.image stage: the original FRB signal data observed by radio telescope is carried out physical correction, the original format of signal data is converted into the two-dimensional image of standardized time-frequency graph matrix;S2.detection stage: the time-frequency graph is input into deep learning model;Deep learning model utilizes its feature extraction capability, through a signal discrimination branch, automatically locates the time-frequency area where FRB pulse signal is located in background noise;S3.regression stage: after successfully locating signal area, network directly regresses each attribute of the target by two branches, so as to obtain the predicted value of each pulse parameter of FRB signal.The application integrates the extraction of multiple parameters into an end-to-end deep learning model, greatly improves the data processing speed, simplifies the processing procedure.

This invention discloses a precise and rapid identification device for elements in drilling cuttings, relating to the field of geological exploration equipment. It includes a housing, a sample processing component, a rotating multi-station sample tray, an X-ray detection component, a cleaning component, a data calibration module, and a human-machine interface component. The sample processing component sequentially feeds, grinds, and presses the drilling cuttings into standard samples. The rotating multi-station sample tray carries the samples and moves them between stations. The X-ray detection component irradiates the samples and acquires elemental data. The data calibration module uses a machine learning model to correct the raw data in real time. The cleaning component automatically cleans the sample cups after use. This invention achieves a fully automated, integrated workflow from sample feeding to analysis, solving the problems of non-standard sample pretreatment, low detection efficiency, and poor data accuracy in the field, significantly improving the speed and accuracy of element identification in drilling cuttings.

The utility model discloses a kind of silicon drift detectors, it is related to the technical field of semiconductor detector, including substrate, the center of substrate front surface is provided with anode, anode outer ring is surrounded with a circle of cathode ring, cathode ring periphery spirally extends and is surrounded with helical ring, helical ring periphery is surrounded with a circle of protection ring, substrate reverse is cathode, and it has more accurate helical ring radius and number of turns.It is compared with traditional helical ring silicon drift detector, the potential electric field distribution of this detector is more uniform, electron channel approaches to a plane, more close to design requirement;More accurate number of turns and radius, can make the measurement of incident particle energy of detector more accurate, because electric field uniformity improves, charge collection efficiency is more stable, reduces the deviation of energy measurement, to improve energy resolution.

The application provides a broadband light vector measurement method and device based on I / Q demodulation, which comprises the following steps: generating carrier-suppressed double-sideband linear frequency modulation light signals with fixed starting frequency difference as a measurement signal and a local oscillator signal respectively; passing the measurement signal through a light device to be measured to obtain a probe light signal; coherently mixing the probe light signal and the local oscillator signal through a 90-degree optical mixer, extracting I / Q two-way electrical signals through a balanced photodetector; constructing a complex signal to separate upper and lower sidebands and suppress mirror frequency interference, extracting fixed low-frequency components to obtain spectrum response information of the light device to be measured; obtaining the system's own spectrum response through a calibration process; eliminating the system response through complex division operation to obtain the amplitude response and phase response of the light device to be measured. The application can solve the spectrum aliasing problem in symmetrical double-sideband modulation without increasing the complexity of the system, expand the measurement bandwidth by one time, speed up the measurement, and does not need a wideband electrical amplitude and phase detector, effectively reducing the measurement cost.

The utility model discloses an automatic sampling device for raw materials, which relates to the technical field of material sampling and comprises an incoming material conveying belt, a sampling station, an automatic sampling device and a sampling device. A transfer belt is arranged at the tail end of the sampling station and communicated with the sample preparation system; a transfer conveying belt is arranged on one side of the sampling station and is communicated with the material returning field; sampling grooves are formed in the bottoms of the sampling stations. The device is matched with a system sampling method to realize automation of a series of links from raw material conveying to sampling, transferring, sample preparation and the like; in the whole process, the influence of human factors on a sampling result is reduced, system errors caused by manual misoperation or manual intervention are avoided, the fairness and objectivity of the sampling result are improved, the labor intensity of workers is reduced, the working efficiency is improved, and the labor intensity of the workers is reduced. The method ensures that the taken samples can more accurately represent the overall characteristics of bulk materials, and provides a more reliable basis for trade settlement.