241 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 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 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.

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.

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 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.

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.

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.

The application discloses an intelligent calibration maintenance method for a key component attenuation model of a humidifying unit, relates to the technical field of equipment calibration maintenance, and comprises the following steps: acquiring a key component set of the humidifying unit and extracting multi-source operation monitoring data; identifying the attenuation of each key component, acquiring an attenuation component and a corresponding attenuation state vector; acquiring a first attenuation calibration coefficient; determining a first intermediate component from the intermediate component set, constructing an indirect mapping relationship, and acquiring a second attenuation calibration coefficient; fusing and verifying the first attenuation calibration coefficient and the second attenuation calibration coefficient, and acquiring a third attenuation calibration coefficient applied to a chamber temperature and humidity control output end. The technical problems of the prior art, such as difficult positioning of an attenuation component under long link conditions, great interference of a single compensation coefficient on link noise, and insufficient calibration reliability caused by a lack of a cross verification mechanism, are solved, and the technical effects of improving attenuation compensation accuracy, anti-link disturbance capability and verifiability of a calibration coefficient are achieved.

The invention provides a weak illuminometer calibration system and calibration method. The method specifically comprises the following steps: S1, determining a calibration coefficient of a measurement system; s2, calculating to obtain a corresponding illumination correction factor; and S3, calculating a standard micro-illuminance value of the calibrated illuminometer by combining the display value of the first luminosity detector, the calibration coefficient and the illuminance correction factor under the corresponding aperture, and obtaining a relative indication error of the calibrated illuminometer by comparing a response value Ex of the calibrated illuminometer with the standard micro-illuminance value. Based on a highly-integrated linear optical system, the problems that in a traditional mode, the calibration process is tedious and prone to being interfered by the environment, errors are transmitted step by step, and precision is insufficient due to light intensity attenuation are solved, efficient, high-precision and traceable calibration in a weak illumination interval is achieved, operation is easy and convenient, and cost is low.

The invention provides a method and a device for calibrating light output power of a laser of an optical module, the optical module and a medium, and relates to the technical field of optical communication. Multiple times of calibration tests are carried out in a calibration test stage, a laser is turned on in each test, a group of output current data and light emitting power data are acquired, and finally a crosstalk calibration coefficient is calculated according to the acquired multiple groups of output current data and multiple groups of light emitting power data. And in the working stage of the optical module, all the lasers are turned on, and the actual light emitting power of each laser is calculated according to the crosstalk calibration coefficient and the actual output current of each backlight detector. The method effectively simulates the temperature and multi-channel concurrent environment when the optical module actually works, so that the calculated crosstalk calibration coefficient can more accurately reflect the crosstalk condition under the real working condition, and the monitoring accuracy of the light emitting power of the laser is remarkably improved; meanwhile, additional hardware such as a light filter plate does not need to be added, the production cost is reduced, and high-precision and low-cost crosstalk calibration is achieved.

The invention relates to the field of MEMS sensors, and discloses an MEMS sensor air pressure drift pre-calibration method based on an outdoor cold environment, and the method comprises the following steps: S1, low air pressure environment construction and natural recovery, and S2, dynamic data synchronous acquisition. Pollution of vibration of the low-pressure box to calibration data of the sensor is fundamentally eliminated, the purity of the calibration data is ensured, the air pressure drift correction coefficient obtained through fitting truly reflects the physical relation between air pressure and sensor output, and the authenticity and accuracy of the calibration coefficient are remarkably improved. Aiming at the problem that the calibration process in the prior art is not natural, the air pressure natural recovery process is closer to the air pressure change scene experienced by the sensor during actual outdoor application, so that the generalization ability and the compensation effect of the calibrated air pressure coefficient in the actual environment are better, and the applicability problems that the precision required by a laboratory is high and the field error is large are effectively solved.

The invention discloses an S-type pitot tube calibration coefficient prediction method based on CFD, and the method is realized through the following steps: S1, carrying out CFD numerical simulation based on parametric modeling, and obtaining a calibration coefficient set of an S-type pitot tube under different installation angle deviations, flow velocity range conditions and environmental parameters; s2, integrating simulation data, and constructing a feature vector data set of the key influence parameters; s3, dividing the data set into a training set and a test set; s3, based on an RBF algorithm, constructing a high-precision nonlinear prediction model by using the training set; and S4, verifying the performance of the model by using the test set, and judging whether the prediction accuracy meets the expectation or not. A CFD simulation technology and a machine learning algorithm are integrated, the problem that a traditional real flow calibration device is limited in capacity and cannot reproduce on-site complex conditions is solved, and a solution is provided for high-precision prediction and correction of calibration coefficients under on-site complex installation conditions and a non-uniform flow field.

This invention discloses a method for detecting link faults in a wearable vital signs simulator (WVSS) based on photoplethysmography (PPG), belonging to the field of intelligent fault diagnosis. The invention acquires the WVSS's set parameters and calculates the expected ideal AC / DC ratio based on pre-stored calibration coefficients. Within a continuous diagnostic time window, it acquires a PPG digital sequence, calculates the measured AC / DC ratio, and differs it from the expected value to obtain the parameter domain residual. Through adaptive pulse template reconstruction, it obtains a microstructure residual sequence and calculates its energy in the key frequency band as the microstructure distortion intensity. It calculates the absolute value of the correlation coefficient between the parameter domain residual sequence and the microstructure distortion intensity sequence within the continuous time window as a link integrity diagnostic indicator. After comparison with a preset threshold, it classifies and determines whether the link is intact, degraded, or faulty. This invention relies solely on the WVSS's own output signal, can distinguish between gain drift and waveform structural distortion, and possesses the ability to locate, classify, and interpret faults. It is suitable for production line calibration, on-site maintenance, and built-in self-test scenarios.

The invention discloses an electron microscope imaging target accurate movement control method based on visual servo, and belongs to the technical field of electron microscopic imaging and movement control. Comprising the following steps: constructing a target data set in a low-magnification scene, training a fine-tuning target tracking model, and outputting a target center point; performing real-time communication with the electron microscope to obtain low-power image frames, identifying each target by using the ideal model, generating an online target tracking task sequence, and continuously outputting a tracking frame of a current target individual in sequence; according to the pixel error, mapping a calibration coefficient related to multiplying power into a displacement reference quantity to execute PID closed loop, and driving the sample table to move until the target individual meets the center; and switching to high magnification to complete observation and returning to low magnification to complete multi-target observation one by one. According to the method, re-search and re-calibration after rate switching are avoided through the process of'retention-rollback recovery-relative displacement inheritance ', the robustness is improved in combination with thread decoupling and adaptive parameters, multi-target rapid, accurate and stable high-power observation can be achieved in a millisecond-level control period, and the method is suitable for large-scale popularization and application. The switching time delay is obviously shortened, the invalid range and the manual burden are reduced, and the experiment verifies that the method has effectiveness and superiority.

The application discloses an advertisement conversion rate calibration method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a parameter cumulative value related to an estimated conversion rate of target advertisement data within a preset time length, each set of target advertisement data having the same dimension information under at least one dimension object and corresponding to the same identifier combination, and the target advertisement data being selected from M advertisement data; selecting a target parameter cumulative value from the parameter cumulative values of the multiple sets of target advertisement data corresponding to the preset time length according to the to-be-put advertisement data and the identifier combination corresponding to the to-be-put advertisement data; obtaining a calibration coefficient of the to-be-put advertisement data according to the target parameter cumulative value; and calibrating the estimated conversion rate of the to-be-put advertisement data by using the calibration coefficient to obtain a calibrated estimated conversion rate. By using the calibration method, the calibrated estimated conversion rate is more accurate.

This invention discloses a method for detecting link faults in a wearable vital signs simulator (WVSS) based on photoplethysmography (PPG), belonging to the field of intelligent fault diagnosis. The invention acquires the WVSS's set parameters and calculates the expected ideal AC / DC ratio based on pre-stored calibration coefficients. Within a continuous diagnostic time window, it acquires a PPG digital sequence, calculates the measured AC / DC ratio, and differs it from the expected value to obtain the parameter domain residual. Through adaptive pulse template reconstruction, it obtains a microstructure residual sequence and calculates its energy in the key frequency band as the microstructure distortion intensity. It calculates the absolute value of the correlation coefficient between the parameter domain residual sequence and the microstructure distortion intensity sequence within the continuous time window as a link integrity diagnostic indicator. After comparison with a preset threshold, it classifies and determines whether the link is intact, degraded, or faulty. This invention relies solely on the WVSS's own output signal, can distinguish between gain drift and waveform structural distortion, and possesses the ability to locate, classify, and interpret faults. It is suitable for production line calibration, on-site maintenance, and built-in self-test scenarios.

The invention discloses a current transformer on-line monitoring device with a self-calibration function, which is mainly applied to the technical field of electric energy metering devices and comprises a power supply module, a synchronous sampling module, a self-calibration module, a signal processing module, a signal analysis module, a storage display module and a communication module. The power supply module provides electric energy; the synchronous sampling module samples current signals output by metering windings of a plurality of groups of running current transformers in a plant station. According to the invention, a calibration coefficient is obtained based on a configured high-precision standard device sampling signal in a mode of injecting a pilot frequency signal into a sampling module in work, self-calibration of the device is realized according to a principle that pilot frequency and power frequency (50Hz + / -0.5 Hz) have the same error calibration, normal operation of the current transformer is not influenced, and the device has a wide application prospect. The operation reliability of the current transformer on-line monitoring device can be greatly improved, and calculation deviation caused by faults of the on-line monitoring device is avoided.

The invention discloses a real-time wire diameter detection method and system for multiple metal welding strips, and relates to the technical field of photoelectric measurement. The method comprises the following steps: enabling the multi-metal welding strip in linear motion to pass through a constant backlight illumination area to generate a high-contrast projection; the linear array CCD is controlled to perform continuous line scanning in a scanning mode in the vertical movement direction to obtain image frames; determining left and right edge coordinates of sub-pixel precision based on a gray gradient edge extraction algorithm; and calculating a line diameter measurement value according to the edge coordinate difference value and the calibration coefficient, and performing real-time filtering. The system correspondingly comprises a backlight illumination module, an image acquisition module, an edge processing module and a wire diameter calculation module. Reflection interference is eliminated through backlight illumination, the linear array CCD is used for high-speed scanning to adapt to the motion state, the precision is improved in combination with a sub-pixel algorithm, and the problem of high-precision real-time detection of the wire diameter of the metal welding strip under the high-speed condition is effectively solved.

The invention discloses an ambient light self-adaptive correction method and system based on feedback control, and the method comprises the steps: carrying out the initial calibration of an ambient light current calculation formula, and compensating a current matching deviation through fitting an actual zooming multiple of a current mirror and adjusting a register; after ambient light is subjected to photoelectric conversion to obtain light current, the light current is subjected to linear compensation and current scaling processing in sequence, and digital quantity is output through analog-to-digital conversion; identifying the type of the photocurrent based on the constant state of the digital quantity, and executing corresponding data correction processing for the preset type of photocurrent; judging whether the digital quantity is in a preset range or not; if the digital quantity exceeds the preset range, re-executing analog-to-digital conversion by adjusting a bias current related parameter boundary and calculating an adjusting step length; and after the digital quantity is within a preset range, substituting the digital quantity into a calibrated ambient light current calculation formula to obtain ambient light current so as to determine a calibration coefficient of distance measurement correction. According to the invention, the problems of poor real-time performance and insufficient precision of static calibration of ambient light in the prior art are solved.

The invention discloses a gas sensor self-calibration calibration method, and relates to the technical field of gas sensors, and the method comprises the steps: S1, carrying out the collection of gas sensors in a gas transmission network, obtaining a data sequence, and constructing a standard time-space comprehensive similarity matrix; s2, calculating the current average sensitivity of the gas sensor based on the standard time-space comprehensive similarity matrix; s3, defining and updating a dynamic self-calibration coefficient based on the current average sensitivity; and S4, establishing a calibration function, and calibrating the drifting gas sensor. According to the invention, closed-loop calibration of the gas sensor network is realized, and no external reference equipment is needed. Spatio-temporal information is fully utilized to automatically screen an optimal reference group, automatically update coefficients and correct drifting in real time, labor cost is remarkably reduced, long-term accuracy of monitoring data is guaranteed, and the problems of response lag and single-point failure risk of a traditional method are solved.

This invention discloses a self-calibration method and system based on the metrological function of an intelligent measurement switch, relating to the fields of electrical variable measurement and magnetic variable measurement technology. The specific steps of the method are as follows: In a standard metrological test environment, the inherent step electrical signal of the contact pre-breakdown is collected as the sole calibration benchmark; parameters are extracted to construct a full-condition benchmark library and encrypted for read-only storage; real-time signals are synchronously acquired during equipment operation with phase-locked loop, and orthogonal decomposition is used to purify and match benchmark features; combined with multi-physics parameters, errors are separated through a decoupling model, and amplitude and phase errors are calculated; calibration coefficients are generated and transmitted via a verification bus; calibration verification and fault tolerance processing are completed through dual-channel verification. This invention achieves in-situ calibration without shutdown by using the inherent signal of the device as a benchmark and encrypting its storage; multi-source errors are separated through phase-locked acquisition and orthogonal decoupling, improving metrological correction accuracy; and a closed loop is formed through an adaptive algorithm and dual-channel verification to ensure accurate calibration and stable equipment operation.

The application provides a high-precision direction finding method and device combining time difference and phase difference of microwave and photon, and the method comprises the following steps: obtaining a target broadband microwave signal; performing smoothing filtering on each microwave signal respectively to obtain time difference estimation values corresponding to two microwave signals; obtaining phase difference estimation values corresponding to the two microwave signals according to the relationship between the time difference and the phase difference; performing consistency correction on each microwave signal respectively to obtain time-phase calibration coefficients; obtaining time difference measurement values and phase difference measurement values through the time-phase calibration coefficients respectively; performing combined direction finding processing operation according to the time difference measurement values and the phase difference measurement values to obtain a direction finding angle; the improved time difference and phase difference combined direction finding method is innovatively provided by using the advantages of time difference direction finding and phase difference direction finding, the phase difference ambiguity is solved through time difference surface fitting interpolation, high-precision direction finding of distributed single baseline two antennas can be realized, the requirements of equipment volume, power consumption and cost are reduced, and the method has good application value.