395 results about "Calibration coefficient" patented technology

The invention provides an automatic processing method for real-time observation data of an ocean station, and belongs to the technical field of ocean observation data processing. A wavelet packet decomposition multi-scale noise separation algorithm is established to distinguish environmental noise and real signals, dual-sensor redundancy configuration is combined with Bayesian inference to identify sensor drift, and a calibration coefficient is updated in real time through a recursive least square method. A one-dimensional time sequence is mapped to a high-dimensional phase space by utilizing a phase space reconstruction algorithm to realize high-precision prediction of a chaotic signal, a hierarchical data storage architecture is established, and a data migration strategy is iteratively optimized through a hierarchical correlation degree function; the technical problem that time synchronization signals are difficult to reconstruct accurately according to asynchronous sampling data of multiple sensors of an ocean station is solved.

The invention relates to the technical field of laser heat treatment, and provides a calibration method of a full-automatic circuit board cutting machine. The method comprises the following steps: acquiring physical coordinates of a circuit board of a cutting device through an intelligent sensor, and constructing a reference coordinate system matrix based on the physical coordinates; determining vibration parameters of the cutting device according to coordinates of laser spots emitted by a laser and the reference coordinate system matrix, and generating a nonlinear error component according to the vibration parameters and power information of the laser; generating an error function based on an error matrix formed by the error components, and determining a calibration coefficient vector by solving the error function; closed-loop control is conducted on the laser path of the cutting device through the calibration coefficient vector, the adaptability of the cutting device to complex working conditions is improved by integrating multi-source error factors and establishing a nonlinear mapping relation, and the cutting precision and stability are ensured.

The invention relates to the technical field of power system relay protection, and discloses a relay protection device mutual inductor adjustment system and method, and the system comprises a system connection initialization module, a data collection reference data generation module, a power frequency background signal offset module, a pilot frequency current injection error calibration module, and a calibration result verification output module. The method comprises the following steps: initializing sampling frequency of a to-be-calibrated mutual inductor and calibration source output precision of a calibration system, collecting amplitude and phase data of real-time power frequency current of the mutual inductor, generating offset current with equal amplitude and opposite directions through power electronic compensation based on reference data, optimizing offset current parameters through a closed-loop adjustment algorithm, and adjusting the offset current parameters through a closed-loop adjustment algorithm. Power frequency background signal offset is completed, pilot frequency calibration parameters are set, a difference value between a mutual inductor pilot frequency output signal and a calibration source standard signal is extracted by adopting a zero pointing technology, an optimal calibration coefficient is automatically calculated, verification of a calibration result is completed, and accuracy and reliability of the calibration result are ensured.

The invention discloses a high-precision electrical calibration method and system for a wedge flowmeter. The method comprises the following steps: step 1, data acquisition and preprocessing; step 2, dynamic working condition identification; 3, updating the self-adaptive model; 4, multi-source data fusion calibration is carried out; and 5, performing closed-loop verification and compensation. According to the invention, multiple types of signals are collected in real time through the multi-dimensional sensor array and de-noised to construct a data set, so that comprehensive and accurate data collection is realized, and a good basis is provided for calibration; carrying out dynamic working condition identification by utilizing a support vector machine, triggering model updating, and endowing calibration with dynamic self-adaptive capability; model parameters are updated by adopting a recursive least square method, compensation items are established, and the characterization capability of the model is enhanced; a calibration coefficient is generated by means of a data fusion algorithm, and the calibration precision is improved; through verification and compensation of a digital twinborn model, traditional defects are effectively overcome, model transplantation errors are reduced, the measurement precision of the wedge flowmeter is improved under extreme working conditions, and production stability and product quality are guaranteed.

The invention relates to a lightning arrester leakage ammeter self-calibration method and system, and the method comprises the following steps: disconnecting a main leakage ammeter from an external main measurement loop, and closing a calibration loop of a redundancy calibration sensor and a reference current source after a preset time is delayed; controlling a reference current source to output standard signals with different current magnitudes, collecting the standard signals by using a redundancy calibration sensor, extracting effective signal components, and performing environment compensation; iteratively calculating a relative error between the effective signal component and the standard signal, if the relative error is less than or equal to a second threshold value, updating a calibration coefficient according to a ratio of the standard signal to the effective signal component, and correcting a measurement result of the main leakage ammeter based on the calibration coefficient; if the relative error is greater than a third threshold value, locking output and uploading fault information; otherwise, recording as one exception, and carrying out maintenance early warning according to the number of exceptions. Compared with the prior art, the self-checking and real-time calibration of the leakage ammeter of the lightning arrester can be completed on the premise of not influencing the operation of power equipment.

The invention discloses a dynamic adaptive black level correction method and device, and relates to the technical field of image processing. According to the dark current space distribution difference, an effective pixel area in each frame of original image is dynamically divided; determining an initial black level calibration coefficient of each space block based on the dark pixel noise level; obtaining the current temperature and the temperature change rate of each space block, and obtaining the level calibration coefficient of each space block after temperature self-adaptive calibration based on the initial black level calibration coefficient corresponding to each space block; fusing the calibration information of the previous frame and the level calibration coefficient of the current frame to obtain a cross-frame stable calibration result; and correcting the effective pixels in each space block based on a cross-frame stable calibration result to obtain a corrected pixel value, and reconstructing the corrected pixel value into an output image. The problems that an existing black level calibration technology is poor in space uniformity, insufficient in temperature change adaptability and unstable in calibration coefficient are solved.

The invention relates to the technical field of display, in particular to a Mini LED backlight module intelligent control system and method of a distributed driving architecture, and the system comprises a processor unit, an LED driving chip, a Mini LED module and a sensor. The processor unit converts an RGB color space into a backlight brightness signal in an XYZ tristimulus value form based on a topological mapping theory; the LED driving chip receives the signal, controls the light intensity of the Mini LED module, and executes verification and compensation based on a Bayesian inference framework; the Mini LED modules are arranged in a distributed architecture, receive the brightness signal and output backlight brightness; a sensor collects backlight brightness signals of an RGB color space to form closed-loop feedback, a calibration coefficient matrix is generated through a polynomial fitting calibration algorithm optimized through matrix decomposition, and high-precision and high-reliability backlight control is achieved in combination with adaptive parameter adjustment and a dynamic compensation mechanism.

The invention discloses a gas analysis method and system for a gas source purification process, and relates to the technical field of gas detection and analysis. The method comprises the following steps: synchronously acquiring optical, electrochemical and conductivity detection signals in a gas source purification pipeline, and combining environmental parameters such as temperature, humidity and flow; carrying out filtering, anomaly elimination and normalization processing on the detection signal, constructing a multi-dimensional feature vector, and carrying out dimensionality reduction to obtain a principal component feature; and dynamically distributing weights through a self-adaptive weighted fusion model, and calculating a gas purification characteristic value. Establishing a drift prediction model based on historical data, inputting environmental parameters and operation duration to calculate a predicted drift amount, and correcting a gas purification characteristic value; when the drift distance exceeds a threshold value or reaches a calibration period, standard gas is introduced to detect the average response value of the drift distance, a calibration coefficient is calculated according to the concentration of the standard gas, the calibration coefficient is fed back and updated to the weighted fusion model and the drift prediction model, and self-correction and high-precision analysis of the gas purification process are achieved.

Systems and methods for measuring the content of an element in a soil comprises: a neutron source for irradiating the soil with neutrons; a detector assembly configured to detect an INS gamma spectrum of the soil; an instrument for measuring a moisture content of the soil; and a processor in communication with the detector assembly, the processor configured to: apply a moisture calibration coefficient to calculate a net peak area of a characteristic peak of the element in the INS gamma spectrum, the moisture calibration coefficient calculated to account for the moderation of fast neutrons by hydrogen atoms of water present in the irradiated soil at the location under analysis; and generate a concentration of the element in the soil. The instrument for measuring a moisture content of the soil may comprise the detector assembly. Systems and methods incorporating a temperature-controlled housing for the gamma detector assembly are also provided.

The invention discloses a calibration test method and system for a pressure sensor, and relates to the technical field of pressure sensor calibration. According to the method, original temperature and voltage data are collected in real time, ideal pressure is obtained through an ideal state equation, original output voltage is obtained through a preset relation model in combination with the temperature, then precise compensation of zero drift and sensitivity drift is completed in sequence through a multi-dimensional calibration coefficient, and further correction is performed through a linear regression relation polynomial, so that the accuracy of the zero drift and the sensitivity drift is improved. And finally, a detection pressure value is obtained. The output pressure value is closer to the real physical quantity, the application requirements of high-precision scenes such as medical equipment are met, and the calibration effect and the pressure measurement precision are improved.

The invention provides a power grid composite chain disaster multi-source monitoring damage assessment method and system, and relates to the technical field of data processing, and the method comprises the steps: dividing a reference geographic coverage area, generating a plurality of independent analysis units, enabling each three-dimensional discrete point to belong to the corresponding independent analysis unit, and carrying out the calculation to obtain a unit space calibration coefficient; performing regional correction on the fused disaster monitoring image data set by using the unit space calibration coefficient to obtain calibrated disaster monitoring image data; based on the calibrated disaster monitoring image data, disaster damage features are extracted through a deep learning semantic segmentation network; and based on the disaster damage characteristics, carrying out spatial diffusion path simulation and time evolution process analysis of disaster influence to obtain disaster spatio-temporal evolution characteristics, and carrying out comprehensive quantitative evaluation of damage degree and risk level on power grid facilities to generate a comprehensive damage evaluation result. According to the invention, the accuracy of power grid disaster damage monitoring and the timeliness of evaluation are improved, and the risk early warning and coping capability of power grid facilities is enhanced.

An end-to-end color imaging system chromaticity characterization method based on hyperspectral calibration belongs to the field of color imaging, color display and imaging chromaticity measurement, and comprises the following steps: firstly, acquiring or calling hyperspectral cube data, and measuring red, green and blue three-channel spectral sensitivity curves and calibration coefficients of imaging equipment; fixed weight linear mapping is adopted, a pixel-level RGB image and a corresponding XYZ tristimulus value image are generated, and paired calibration samples are formed. And an end-to-end deep network is constructed to map any RGB image into an XYZ image. The method has good prediction precision and robustness, and can be widely applied to scene chromaticity measurement, color imaging color management, display calibration, camera color recovery and other chromaticity consistency demand scenes.

The invention belongs to the technical field of satellite communication and antenna arrays, and relates to a low-orbit satellite ultra-large folded array antenna beam and polarization adaptive calibration system. According to the system, through a feed network of an antenna and a coupler of a satellite-borne detection path, a Jones matrix of each array element is obtained by adopting time division multiplexing excitation, and amplitude and phase calibration in a substrate is realized by utilizing least square pseudo-inverse compensation. Self-adaptive fusion is carried out according to the energy of the left-hand and right-hand circular polarization channels, the residual error of a fusion signal and an ideal signal is calculated, and abnormal array elements are removed in combination with amplitude outlier and phase jump detection. Performing low-rank denoising and sparse correction processing on the phase residual error, calculating the plane coefficient of each substrate through weighted least square plane fitting, and realizing smoothing and compensation iteration by using Kalman filtering and phase updating constraint. And finally, correcting each array element by the spaceborne digital beam forming unit according to the calibration coefficient, thereby realizing accurate calibration of the antenna beam and polarization.

The invention provides a display screen dynamic control method and system, and relates to the technical field of data processing, the method comprises the following steps: constructing a space coordinate system comprising a plurality of entity nodes, the entity nodes comprising a display screen preset angular point, a user binocular vision center and a handheld interaction device; analyzing a relative pose relationship among the nodes by calculating a projection dot product of a space vector corresponding to each node; constructing a dynamic topology network based on the relative pose relationship, and synchronously collecting environment illumination intensity, user fixation point coordinates and user pose data; performing time sequence synchronization and Kalman filtering preprocessing on the acquired multi-modal data to obtain an initial feature set; and generating a spatial calibration coefficient according to the distribution characteristics of the dynamic topology network, and performing normalization compensation on the initial feature set through the calibration coefficient to obtain a calibrated multi-modal sensing feature vector. According to the invention, accurate and intelligent dynamic control is realized.

The invention provides a brightness calibration coefficient storage method, a related device and a storage medium. The method comprises the following steps: acquiring an actually measured brightness value of each pixel in the display panel; dividing the display panel into a plurality of initial blocks, and calculating the variance of the actually measured brightness value of each initial block; recursively merging the adjacent initial blocks and / or merged blocks until the variance of the actually measured brightness values of the merged blocks is greater than a preset threshold value; according to a preset storage structure, the brightness calibration coefficient of each block is stored with the block as the unit, and the brightness calibration coefficient comprises the base value of the actually measured brightness value of each block and the difference matrix. According to the embodiment of the invention, the storage space required by the brightness calibration coefficient of the display panel is reduced, so that the space occupation of an external flash memory and an on-chip buffer is reduced, and the layout design difficulty in the display panel is reduced.

According to the xerophthalmia core index multi-task AI detection system, method and terminal provided by the invention, the xerophthalmia multi-modal image is collected and exclusive preprocessing is completed, and core index detection is carried out on the preprocessed image based on the xerophthalmia multi-index detection model, so that the xerophthalmia core index detection result is obtained. Outputting detection results such as meibomian gland deletion rate, tear film rupture time, staining classification, tear river height and blepharitis marginal inflammation classification; and dynamically adjusting the index result according to a calibration coefficient corresponding to the type of the data acquisition equipment, and finally generating a standardized detection report. A xerophthalmia multi-index detection model is constructed based on an improved U-Net3 + architecture, a dry eye feature enhancement encoder and a cross-scale feature fusion decoder are adopted, a customized multi-task detection head is matched, an inter-task attention collaboration mechanism is established, meanwhile, a preprocessing algorithm and a dynamic calibration mechanism matched with a dry eye image are designed, and the detection accuracy of the xerophthalmia is improved. And multi-index synchronous, high-precision and high-efficiency detection is effectively realized.

The invention discloses a differential pressure sensor precision calibration method for high-temperature environment monitoring, and relates to the technical field of sensor calibration, and the method comprises the steps: carrying out the high-temperature factor extraction and simulation parameter design of the application scene information of a differential pressure sensor, and obtaining a high-temperature test parameter table of the sensor; a standard differential pressure source is arranged in the high-temperature environment controllable simulation chamber; acquiring a multi-high-temperature parameter differential pressure test data set of the standard differential pressure source; establishing a multi-high-temperature parameter differential pressure compensation model set; obtaining a high-temperature calibration coefficient differential pressure compensation model set; and performing calibration matching calibration on the application scene information of the differential pressure sensor to be calibrated to obtain a differential pressure sensor precision calibration result. The technical problem that the measurement precision and stability of the sensor are poor due to the fact that the measurement precision of the differential pressure sensor is difficult to effectively calibrate in the high-temperature environment in the existing differential pressure sensor precision calibration is solved, and the technical effects of improving the measurement precision of the differential pressure sensor and improving the measurement stability and reliability are achieved.

The invention provides a real-time online self-calibration method and system for a charge and discharge test channel, and relates to the technical field of automatic calibration. According to the method, key parameters of each test channel are continuously monitored through an upper computer, and once the control precision of a certain channel exceeds a preset threshold due to deviation, a system automatically identifies the channel as a to-be-calibrated channel. And then, the system intelligently matches and allocates an available target independent calibration channel according to the channel information and the real-time operation state of each calibration channel in the calibration module. Through automatic operation of the switch matrix, a to-be-calibrated channel is disconnected from a test object and connected with a target calibration channel, the target calibration channel is controlled to carry out multi-point calibration on the to-be-calibrated channel, data are collected to generate a calibration curve, a new calibration coefficient is calculated according to the calibration curve, the coefficient is written into the to-be-calibrated channel, and after calibration is completed, the to-be-calibrated channel is calibrated. And the channel automatically recovers the original test process. On-line and closed-loop full-automatic calibration is realized in the whole process, and continuity and accuracy of test data are ensured.

The embodiment of the invention discloses an environment monitoring quality control intelligent supervision method and system, and the method comprises the steps: deploying at least three similar gas sensors at a same monitoring station to form a sensor array, and organizing the monitoring data of each sensor into an n-tuple structure; dynamically selecting at least one sensor in the sensor array in turn as a current pseudo fault injection target, and taking the rest sensors as a reference group; establishing a pollution historical convolution model for a memory effect of a pseudo fault injection target, reversely deducing a current indication error of the pseudo fault injection target through a historical exposure spectrum, and reversely estimating an undisturbed output value based on Choquet integration in combination with n-tuple output of a reference group sensor; calculating and updating an individual calibration coefficient and a confidence coefficient weight of the pseudo fault injection target; and carrying out dynamic correction and fusion output on the sensor array according to the updated calibration coefficient and confidence coefficient weight. According to the invention, real-time updating of the calibration coefficient and the confidence coefficient weight is realized, and the monitoring quality is improved.

The invention relates to the technical field of audio sound calibration, and discloses a room sound calibration method based on intermediate frequency reverberation time and related equipment, which are used for improving the accuracy of a sound calibration result. The room sound calibration method based on the intermediate frequency reverberation time comprises the following steps: acquiring a room impulse response of a target room and calculating the intermediate frequency reverberation time; according to the intermediate frequency reverberation time, the recommended window length of the frequency correlation window is determined by querying a predefined mapping relation, and the mapping relation is established based on acoustic association between the room reverberation time and the analysis window length; based on the recommended window length, determining the actual window length of the actual application in combination with the user setting mode; performing time domain windowing and frequency-related transfer function estimation processing on the room impulse response according to the actual window length to obtain window function weighted transfer function estimation; filter calibration coefficients are generated based on the transfer function estimates and applied for audio calibration.

The invention discloses a pre-distortion calibration method and system based on a single chip microcomputer, a medium and a product, and relates to the field of radio frequency front ends. The method comprises the following steps: extracting an instantaneous amplitude value of an input signal sequence to obtain a first envelope to represent instantaneous nonlinearity; the periodic average power of the input signal is calculated and filtered through timer interruption, and a second envelope representing the heat effect is obtained. According to the method, the first envelope and the second envelope serve as double indexes, the preset two-dimensional lookup table is inquired, so that the pre-distortion calibration coefficient capable of being matched with the instantaneous nonlinearity and the thermal memory effect of the power amplifier at the same time is determined, and the input signal is calibrated. In addition, a feedback signal output by the power amplifier is obtained to calculate a distortion calibration error, and the two-dimensional lookup table is adaptively updated according to the error. According to the scheme, a composite calibration model is constructed on a low-cost single-chip microcomputer platform, and the accuracy and stability of nonlinear pre-distortion calibration of the power amplifier are guaranteed.

This invention discloses a frequency-hopping method and apparatus for magnetic field quality assessment based on radio electromagnetic positioning, relating to the field of radio electromagnetic positioning. The method includes: constructing and calibrating a radio electromagnetic positioning system to obtain a calibration coefficient matrix; traversing each group of excitation signals in the signal combination, inputting the excitation current corresponding to the three different frequencies of excitation signals in each group of excitation signals to the transmitting module; acquiring the induced voltage generated by the receiving module and performing a Fourier transform to obtain a voltage amplitude matrix; calculating the corresponding magnetic flux density matrix based on the voltage amplitude matrix and the calibration coefficient matrix; constructing and solving an objective equation based on the vector formed by the magnetic flux density matrix and its singular values ​​to obtain three singular values; calculating the magnetic field quality coefficient corresponding to each group of excitation signals based on the three singular values, and determining the operating frequency of the radio electromagnetic positioning system for electromagnetic positioning. This invention solves the problem of increased positioning errors caused by magnetic field distortion.

The invention relates to the technical field of image correction, and particularly discloses an X-ray image correction method and device based on deep learning and terminal equipment. The method comprises the following steps: acquiring a pulse full-time original image and an energy spectrum time sequence signal, and extracting to obtain a distortion core feature; a distortion transmission path is extracted based on the distortion core features, a reverse mapping model is constructed to output distortion magnification times, and a calibration coefficient matrix is established; screening a core energy interval and a corresponding core trace element peak; the calibration direction is bidirectionally constrained through a bimodal linkage calibration mechanism, and a corrected signal and image are output; the device comprises a feature extraction module, a distortion calibration module, a core extraction module and a linkage calibration module. The terminal device executes the steps of the program implementation method through the processor, and the storage medium stores the corresponding computer program. According to the invention, the trace element peak detection precision and calibration stability are improved, and the reliability of X-ray detection is enhanced.

The invention discloses a foreground and background calibration fused capacitor mismatch calibration method and system, and the method comprises the steps: carrying out foreground digital calibration after a chip is powered on, and comprises the steps: obtaining an error voltage; quantizing the obtained error voltage to generate a corresponding error code word; the weight of foreground calibration is obtained; the method comprises the following steps of: generating a pseudorandom sequence and injecting the pseudorandom sequence into an input signal of an ADC (Analog to Digital Converter) when an ADC (Analog to Digital Converter) enters normal work; carrying out weighted summation on the digital code word quantized and output by the ADC and eliminating the interference of the pseudo-random sequence from the digital code word; and carrying out correlation calculation on the weighted summation result after the interference of the pseudo-random sequence is eliminated and the pseudo-random sequence to obtain a calibration coefficient, and carrying out iterative calculation on the capacitance weight according to the calibration coefficient. The advantages of foreground calibration and background calibration are fully combined, so that a better calibration effect is achieved.

The invention provides a temperature calibration method, device and equipment for a wireless sensing terminal and a storage medium, and the method comprises the steps: testing the wireless sensing terminal under a preset temperature condition, collecting external temperature data and sensor output data, and obtaining a test data set; according to the test data set, carrying out modeling processing on sensor output data to obtain a temperature hysteresis error; establishing a calibration model containing an undetermined coefficient according to the temperature hysteresis error and the external temperature change rate, and solving the undetermined coefficient to obtain a calibration coefficient; and when a temperature calibration instruction is received, performing compensation operation on the sensor output data according to the calibration coefficient and the real-time measured external temperature change rate to obtain calibrated sensor output data. According to the method, the correlation model between the temperature hysteresis error and the external temperature change rate is established, effective compensation of the hysteresis error caused by dynamic temperature change is achieved, additional hardware does not need to be added, and system complexity and cost are reduced.

The invention relates to a measurement calibration method and device of a spectrograph. The method comprises the following steps: determining measurement spectrum data corresponding to a target spectrograph; determining a target light source type corresponding to the measured spectral data; calibrating the measured spectral data according to a first calibration coefficient corresponding to the target light source type, and determining initial calibration spectral data; according to a second calibration coefficient corresponding to the target light source type and the initial calibration spectrum data, determining supplementary spectrum data at a to-be-supplemented wavelength value, the to-be-supplemented wavelength value being located in a wavelength range covered by a plurality of preset waveband channels; and determining target calibration spectrum data according to the initial calibration spectrum data and the supplementary spectrum data. According to the invention, different calibration coefficients can be applied to different types of light sources to calibrate the target spectrograph, the spectral information is expanded, the spectral characteristics which cannot be directly captured by the target spectrograph are obtained, and the reducibility, accuracy and reliability of target calibration spectral data are improved.

The embodiment of the invention provides a parameter calibration method and device, electronic equipment and a medium. The method comprises the following steps: detecting and determining that the screen film pasting state of the electronic equipment is changed, for an under-screen sensor of the electronic equipment, acquiring a calibration coefficient corresponding to a sensor parameter of the under-screen sensor, and associating the calibration coefficient with a background noise change ratio, the background noise change ratio is the ratio of the background noise values of the electronic equipment before and after the change of the screen film pasting state, and calibrating the sensor parameters of the under-screen sensor based on the calibration coefficient.

Provided in the embodiments of the present disclosure are a luminance and chrominance calibration method and device, and a storage medium. The method comprises: controlling a display screen to display a preset test image, and controlling a colorimeter to collect luminance and chrominance data of the display screen; on the basis of the luminance and chrominance data, generating a smooth gamma table, and iteratively calculating red, green and blue calibration coefficients for each grayscale, so as to obtain a grayscale expansion mapping table; and on the basis of the grayscale expansion mapping table, performing full-grayscale expansion mapping processing on an input image, and controlling the display screen to display an output image that has been subjected to mapping processing. The embodiments of the present disclosure improve the smoothness of grayscale gradients and the color accuracy across all grayscale levels of display, meet both luminance and chrominance calibration requirements and full‑grayscale smoothness requirements, and reduce the calibration time, thereby improving the production efficiency.

The application discloses a system and method for accurately calibrating sensitivity of a smoke fire detector, relates to the technical field of detector sensitivity calibration, and solves the technical problem that a high-concentration smoke needs to be used to calibrate the sensitivity of the detector, so that the standard detector is easily polluted during the consistency setting of the sensitivity of the smoke fire detector; the application starts the detection device, preliminarily sets the target detector, obtains the calibration time and the detection value sequence of each standard detector, analyzes the equipment based on the detection value sequence, and sends an operation instruction; the calibration coefficient of each detector to be measured is obtained based on the operation instruction, and the consistency of each detector to be measured is processed based on the calibration coefficient; in the sensitivity calibration, the application does not use high-concentration smoke, reduces the pollution speed of the standard detector, and also reduces the pollution of the atmospheric environment caused by the calibration operation.

The invention discloses a converter valve platinum electrode scaling thickness detection method based on image gray analysis, and belongs to the technical field of converter valve equipment nondestructive testing. The invention aims to solve the problems of low efficiency and equipment damage caused by the fact that the scaling thickness can be measured only by halting and disassembling an electrode in the prior art. The method comprises the following steps: firstly, acquiring an X-ray transmission image of a platinum electrode and preprocessing the X-ray transmission image; then interactively determining a measurement line segment penetrating through the scaling area on the image; extracting gray values of all pixel points on the line segment to form gray distribution data; then analyzing the data to identify two feature points representing the boundary of the scaling layer and the electrode substrate; and finally, calculating the actual physical thickness of the scaling layer according to the pixel distance between the two feature points and the system calibration coefficient. According to the technical scheme, the scaling thickness on the surface of the platinum electrode in the converter valve cooling system can be detected online, losslessly and accurately, and a basis is provided for state evaluation and maintenance decision.