33results about How to "Avoid systematic errors" patented technology

The invention provides a trestle active wave compensation method based on multi-sensor fusion positioning, and relates to the technical field of wave compensation of maritime work equipment, and the method specifically comprises the following steps: S1, collecting ship data of a laser radar, an inertial sensor I MU and a GPS positioning system, processing the ship data through improved Kalman filtering, and achieving marine precise positioning of a ship; s2, establishing a coordinate system, taking a ship as an initial state when the ship is lapped to a wind power tower at the tail end of a static underwater trestle, and establishing a rectangular coordinate system O by taking the rotation center of the ship as an original point; s3, according to the swaying, surging, yawing, rolling, pitching and heaving information, obtained by an attitude sensor MRU, of the ship at the instantaneous moment, the target position quantity of each joint of the trestle is calculated through motion attitude inverse solution; and S4, each joint is controlled to stably move to a target position, and wave compensation is completed. According to the invention, by designing the Kalman filtering system for multi-sensor fusion positioning, the position of the ship can be positioned more accurately, and the active wave compensation precision of the trestle can be improved.

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 invention relates to a precision optical measuring instrument calibration technology, and discloses a parameter calibration method and system for a four-photoelastic modulator type Mueller matrix polarization system, and the method comprises the steps: carrying out a polarization experiment; introducing an analysis arm base vector and a polarization arm base vector containing dynamic parameters, and establishing a calculation model of the light intensity signals, the base vectors and a light intensity projection matrix; through a polarization experiment and a calculation model, dynamic parameters in base vectors of a polarization detection arm and a polarization starting arm are calibrated by using a nonlinear regression method, and the dynamic parameters comprise the peak retardation, the modulation frequency and the initial phase of the photoelastic modulator. Furthermore, a matrix containing static parameters of the system is obtained through a characteristic value calibration method and is directly used for measurement, and the static parameters comprise the azimuth angle of the polarization element and the static delay amount of the photoelastic modulator. According to the method, the base vector is introduced, the light intensity is detected through nonlinear regression projection, the calibration of dynamic parameters is realized, then the static parameters are calibrated by using the characteristic values, the operation is simple and convenient, and the calibration precision is high.

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.

The application discloses a guided wave tomography method based on full waveform inversion of a recurrent neural network, comprising the following steps: step 1, time series forward modeling based on the acoustic formula of the finite difference method is realized by using sequence calculation of the recurrent neural network, and an initial model is obtained; step 2, the wave field value of each time step at each excitation position is calculated in turn, and a simulation value is generated; step 3, after actual observation values are processed, a least square target equation of the simulation value and the observation value is generated; step 4, the least square target equation is iteratively minimized by an inversion part, including an automatic differentiation method and an Adam algorithm, which are respectively responsible for gradient calculation of the target equation and iterative updating of a velocity model and a UNet weight; step 5, the updated velocity model is subjected to depth image prior UNet regularization; and step 6, steps 1 to 5 are repeated, and the next iteration calculation is performed until the target equation is lower than a specified threshold value, so that a final velocity model is obtained, and the final velocity model is converted into a thickness model by using a dispersion relation.

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 invention discloses a ferromagnetic fluid pump experiment device with repeatability, variable structural parameters and visualization. The ferromagnetic fluid pump experiment device comprises a pump cavity composition mechanism, a pump cavity supporting mechanism, a fixed magnet and a rotary magnet. The pump cavity composition mechanism comprises a pump cavity upper cover plate, a pump cavity upper cover plate sealing gasket, a pump cavity special-shaped structure, a pump cavity lower cover plate sealing gasket and a pump cavity lower cover plate; a pump cavity internal circular structure is arranged in the pump cavity, and an annular micro-channel is formed between the pump cavity internal circular structure and the pump cavity special-shaped structure; a pump cavity internal circular structure upper sealing gasket and a pump cavity internal circular structure lower sealing gasket are respectively arranged above and below the pump cavity internal circular structure; a fixed ferromagnetic fluid and a piston ferromagnetic fluid are arranged in the annular micro-channel; a fixed magnet is arranged on the upper side of the pump cavity upper cover plate; a rotating magnet is arranged on the lower side of the pump cavity lower cover plate. According to the invention, one set of device can be used for testing various different working conditions, so that system errors caused by replacement of experimental equipment are avoided, and meanwhile, material waste caused by redundant processing is also avoided.

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.

This invention provides a carbon source adaptive dosing control method and system based on a dynamic baseline and a stepped coefficient, belonging to the field of wastewater treatment technology. The method includes: real-time acquisition of total nitrogen concentration and flow rate data of the effluent from the anoxic tank, calculating the total flow rate of the anoxic tank; setting a fixed reference value as a safety baseline and establishing an independent dynamic baseline initially; determining the stepped dosing coefficient by calculating the ratio of the current effluent total nitrogen concentration to the upper limit of discharge, and calculating the carbon source dosing amount when the ratio is zero; finally, by calculating the relative change amplitude with the dynamic baseline, triggering dosing adjustment only when there is a significant change in water quality, avoiding frequent system adjustments due to measurement noise or small fluctuations in water quality. This invention combines an absolute safety baseline with a relative change threshold, eliminating the need for complex models and frequent calibration, and offering fast response, strong disturbance resistance, and low cost.

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.

A kind of deep sea high-precision high-pressure temperature control triaxial test device, including pressure chamber for placing soil sample, confining pressure loading mechanism and counter pressure loading mechanism, the confining pressure loading mechanism is used to apply pressure to the soil sample in the pressure chamber, the counter pressure loading mechanism is used to inject water into the soil sample pore in the pressure chamber, the pressure range of the confining pressure and pore pressure that soil sample in the pressure chamber is subjected to is 20-60MPa, the pressure chamber is connected with confining pressure pipeline and counter pressure pipeline, the pressure difference between the confining pressure pipeline and counter pressure pipeline is the effective stress of soil.The beneficial effects of the present application are: by measuring the pressure difference between confining pressure and counter pressure, the effective stress of soil is directly obtained, the traditional way of measuring confining pressure and pore pressure respectively and then calculating effective stress by formula is abandoned, thereby eliminating the error superposition problem caused by large-range sensor measurement respectively.

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 present invention belongs to the technical field of automobile parts inspection tools, and relates to a double-guide rail linear sliding inspection fixture for a radiator mask assembly. It includes a base, on which a vertical workpiece vertical positioning assembly is fixed, and a mold mechanism for positioning the workpiece is also provided on the base, and the mold mechanism includes a plurality of flip arm clamping assemblies arranged in a straight line and provided on the base, and a double-track positioning assembly opposite to the flip arm clamping assembly and movably connected to the base, and a side wall positioning assembly is provided on the base and on both sides of the double-track positioning assembly, and a horizontal positioning rod is provided at both ends of the double-track positioning assembly, which is horizontally arranged and extends in the direction of the flip arm clamping assembly. In the process of placing the workpiece, the present invention adopts the sliding avoidance of the double-track positioning assembly to avoid interference and realize the smooth placement of the workpiece.

The invention provides a large-size plane grating pitch measuring device. The large-size plane grating pitch measuring device comprises an interferometer, a three-dimensional adjusting frame, a V-shaped support arranged on the three-dimensional adjusting frame and a clamping tool arranged on the V-shaped support. Wherein a to-be-measured large-size special-shaped grating is fixed on the clamping tool, the to-be-measured large-size special-shaped grating corresponds to the interferometer in the front-back position, and the to-be-measured large-size special-shaped grating is matched with the V-shaped support through the three-dimensional adjusting frame to adjust the grating posture. According to the large-size plane grating pitch measuring device and the measuring method thereof provided by the invention, the pitch measuring precision of the large-size special-shaped plane grating can be effectively improved, and the safety of the plane grating can be effectively ensured.

The invention relates to the technical field of agricultural information, in particular to a method for calculating nitrogen transport in a plant through 15N isotope field in-situ labeling. The method specifically comprises the following steps: applying a 15N isotope labeled nitrogen fertilizer; all nitrogen accumulation amounts and < 15 > N accumulation amounts of nutritive organs and reproductive organs of the plant in two growth periods from the flowering period to the mature period are obtained, and the nitrogen transport amounts of the nutritive organs of the plant to the reproductive organs in the two growth periods are calculated; and calculating the accumulation amount of the nitrogen absorbed by the plant in the two growth periods in a nutritive organ and a reproductive organ so as to evaluate the source of the nitrogen in the reproductive organ of the plant. The method provided by the invention solves the problems that the accuracy of quantifying the nitrogen transfer in the plant body is low, the source of nitrogen in the reproductive organ of the plant cannot be accurately judged, and great errors exist in guiding variety breeding and nitrogenous fertilizer operation in the existing method.

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 utility model relates to a variable head permeability coefficient indoor determination test device. The device comprises a permeation container and a water supply tank which are connected together, the permeation container comprises an organic glass tank with an organic glass upper cover; an upper permeable stone and a lower permeable stone arranged on the supporting baffle are arranged in the organic glass tank, and a soil sample is placed between the upper permeable stone and the lower permeable stone; an organic glass cushion block is arranged between the organic glass upper cover and the upper permeable stone; a group of upper water outlets are formed in the upper part of the organic glass tank, and a lower water outlet and a lower water inlet are respectively formed in the lower part; the lower water inlet is connected with a water supply tank through a silicone tube, and the silicone tube is connected with a water inlet and a water outlet which are formed in the bottom of the variable water head tube; the bottom of the variable water head pipe is placed on the weighing sensor; a plurality of moisture sensors and a plurality of pore water pressure sensors are uniformly distributed on the outer wall of the organic glass tank; and the weighing sensor, the moisture sensor and the pore water pressure sensor are all connected with a data acquisition instrument. According to the utility model, the permeability coefficient of a large-scale sample can be accurately measured.

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.

The present invention discloses a large-size substrate exposure machine, comprising: an exposure system, a measurement system, a motion stage system, an illumination system, a mask transmission system, an external frame, a core exposure measurement frame, an internal support frame and a position adjustment component, wherein the external frame is equipped with an illumination system and a mask transmission system; the core exposure measurement frame is arranged inside the external frame, and is equipped with an exposure system and a measurement system; the internal support frame is arranged between the external frame and the core exposure measurement frame, and is equipped with a motion stage system; the position adjustment component is connected to the core exposure measurement frame and the internal support frame respectively, and the position adjustment component is configured such that when the internal support frame is offset and deformed with the motion stage system, the position adjustment component can undergo structural deformation in the same direction as the offset deformation direction of the internal support frame, and the relative position of the motion stage system and the exposure system remains unchanged. The above-mentioned large-size substrate exposure machine can improve the exposure accuracy of large-size substrates.

The application discloses a kind of cotton field damage mulch sample mechanical property test method and application thereof, the application is aimed at damage and limited mulch sample, constructs systematic mechanical property test method, proposes "mulch-isolation paper" laminated preparation sample method and seal positioning mark sample method, and combined with isolation paper uniform support dispersion impact stress, color coding and mark avoid direction confusion.The right-angle tearing sample qualification rate of cotton field mulch is improved from 61.87% to 83.75% by the technical scheme provided in the application;Overall test efficiency is improved by 36.82%;The variation coefficient of longitudinal right-angle tearing and tensile load is reduced by more than 33%.Data reliability is enhanced.The technical scheme provided in the application effectively overcomes the test difficulties such as damage and limited quantity of field mulch sample, provides operable skills for evaluating the mechanical property attenuation and mechanical recycling adaptability of mulch, and has reference value for farmland residual film pollution control and standard method improvement.

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.