40 results about "First order derivative" patented technology

The invention relates to the technical field of multi-agent systems, and discloses a multi-agent and multi-mode alignment interaction method and system for a review scene, and the method comprises the steps: mapping real-time multi-mode data into a local belief vector through a heterogeneous agent cluster, and calculating the spatial divergence to determine a global cognitive entropy; interaction time sequence gating logic based on entropy flow differential is established, and active alignment is triggered when the global cognitive entropy is larger than a convergence threshold value and a first-order derivative is smaller than a damping threshold value; according to the method, through entropy flow differential control and an active semantic disturbance closed loop, decision oscillation of the multi-agent system in the non-cooperative environment is eliminated, and the reliability of the multi-agent system in the non-cooperative environment is improved. Mathematical convergence of the belief state in an adversarial disguise scene is realized, and the system identification precision in a complex interactive game is improved.

The application discloses a component fatigue micro-damage early identification method based on a nonlinear static component, and particularly relates to the technical field of material nondestructive testing and structural health monitoring, which comprises the following steps: arranging an excitation probe and a receiving probe on the surface of a component to be measured; selecting an excitation frequency based on a frequency dispersion curve and generating a Hanning window modulated wave; collecting a propagation response signal; extracting a static component amplitude A and a fundamental wave amplitude A through time-frequency processing; calculating a nonlinear static parameter beta=A / A²; further calculating a first derivative S(N) and a second derivative ΔS(N) of beta with respect to a fatigue loading cycle N; and identifying a dislocation dominant stage, a dislocation saturation or rearrangement stage, a micro-crack initiation stage and a macro-crack formation stage according to the first derivative S(N) and the second derivative ΔS(N). The application can be used for early stage identification of the evolution process of component fatigue micro-damage.

The application provides a blood sodium detection correction method and system, based on the first derivative sign change and the second derivative extreme value of original spectrum data, the peak value region and the baseline flat region are divided, the local noise level parameters of each flat region are calculated; the first asymmetric factor and the smoothing factor are set for the peak value region, the second asymmetric factor is set for the flat region, and the second smoothing factor is adjusted according to the local noise level parameters; the asymmetric least square fitting is independently performed on each region, the weight is related to the noise level when the residual error is positive, and the weight is 1 minus the asymmetric factor of the region where the spectrum data point is located when the residual error is not positive; the end of the fitting of the previous region is taken as the initial constraint of the latter region, the sub-baseline is generated, and the spline interpolation is connected to form a continuous total baseline; the original spectrum data is subtracted from the total baseline, and the corrected blood sodium spectrum data is obtained.

The present application relates to a kind of corneal biomechanical property calculation method and device based on spline theory, comprising the following steps: step 1, sampling and analysis are carried out from the dynamic video of corneal stress deformation in historical database, and the profile of cornea is extracted;Step 2, the curve of profile change in the process of corneal deformation is fitted using spline theory, and the curve equation of corneal profile is obtained;Step 3, according to the curve equation of corneal profile in step 2, the zero point of its first derivative and second derivative is solved, to determine the first flattening state moment, the maximum indentation moment and the second flattening moment in the process of corneal deformation, so as to calculate the biomechanical property of cornea.The present application can accurately and objectively evaluate the biomechanical property of cornea.

The invention relates to the technical field of spraying of surfaces of vacuum cups, and discloses a spraying method for the surfaces of vacuum cups. The method comprises the following steps: establishing a space coordinate system, collecting a structured light three-dimensional point cloud, mapping the point cloud to a two-dimensional parameter domain, calculating a first-order derivative and a normal vector, further calculating a second-order derivative and a basic form coefficient, extracting a Gaussian curvature and an average absolute curvature, generating a spray point spacing function according to the curvature, generating spray points in the parameter domain, and mapping the spray points into three-dimensional coordinates. And finally, path planning and spraying instruction output are carried out. According to the method, through high-precision non-contact modeling and differential geometric analysis, the geometric change of the curved surface is accurately recognized, self-adaptive adjustment of the spraying point density is guided, the spraying efficiency and uniformity are improved through path optimization, the bottlenecks of a traditional manual or mechanical path setting method in the aspects of spraying uniformity and consistency are broken through, and the method is suitable for large-scale popularization and application. And the device is particularly suitable for intelligent and high-precision spraying operation of personalized products and complex structure surfaces.

The present application relates to the method for controlling the opening of the vertical roll mill based on short stroke control, and belongs to the technical field of vertical roll rolling. The method comprises the following steps: obtaining the segmented rolling information of the rolled part in the target workpiece; constructing the quintic polynomial head-tail contour curve according to the rolling information of each segment; obtaining the quartic speed model by taking the first order derivative of time of the quintic polynomial head-tail contour curve, and extracting a plurality of feature points; constructing the deviation degree regression prediction model between the plurality of feature points of the quartic speed model and the preset vertical roll reduction, the preset horizontal roll reduction and the rolling information of each segment; and controlling the opening of the vertical roll mill in the vertical roll rolling according to the deviation degree regression prediction model. The present application improves the opening control precision of the vertical roll mill.

The application relates to the technical field of semiconductor process waste gas treatment, and discloses a pipeline blockage early warning method and system. The method comprises the following steps: obtaining a real-time change curve of real-time pressure and a time sequence according to the obtained time sequence and the real-time pressure of a pipeline; obtaining a fitting function corresponding to the real-time change curve according to the real-time change curve; obtaining a first-order derivative and a second-order derivative of the fitting function according to the fitting function; determining whether the second-order derivative in the time sequence is equal to a first threshold value; if yes, judging a blockage condition of the pipeline at a target moment according to the fitting function; and if not, judging the blockage condition of the pipeline at the target moment according to the first-order derivative and the second-order derivative. The pipeline blockage early warning method can solve the defect that the prior art cannot predict the pipeline blockage condition.

The present application relates to the technical field of biomedical image processing, and discloses a multi-scene video intelligent clipping method and system, comprising the following steps: obtaining time-synchronized original microscopic video stream and structured experimental operation log; for each operation event, constructing an event neighborhood reference window in the original microscopic video stream and performing spatial registration to generate a locally video segment after spatial correction; generating a spatial attention weight mask according to the operation space coordinate vector, calculating a structure disturbance response value sequence of each frame of the local video segment in combination with a structural similarity index, and obtaining a phase significance score sequence through smoothing filtering; generating an original candidate segment based on the discrete first-order derivative of the phase significance score sequence and baseline period statistical characteristics; according to the preset priority weight of the operation action type label corresponding to the candidate segment, performing cutting and transition processing on the time overlapping segment, and outputting an abstract video file; and generating a metadata index file associated with the abstract video file.

This invention provides a single-spectrum classification spectral analysis method based on an interpretable deep model, comprising: randomly generating several negative samples; summing the standard spectrum of the target object with the generated negative samples to form several positive samples; performing first-order derivative operations on each of the positive and negative samples to obtain differentiated samples; inputting the differentiated samples into a deep forest model for model training to obtain a trained deep forest model; visualizing the trained deep forest model to obtain a visualized deep forest model; and using the visualized deep forest model to identify whether the target object exists in an unknown substance. The method provided by this invention exhibits excellent recognition performance in substance identification, not only accurately distinguishing between target objects and unknown non-target objects, but also capturing weak target object signals in mixtures or complex matrices, achieving highly sensitive and selective substance identification.

This disclosure relates to ethylene interpolymer products comprising a Melt Flow-Intrinsic Viscosity Index value, MFIVI, from ≥0.05 to ≤0.80; a first derivative of a melt flow distribution function, formula (I) at a loading of 4000 g, from >−1.51 to ≤−1.15; a sum of unsaturation, SUMU, from ≥0.005 to <0.047 unsaturations per 100 carbon atoms; and a residual catalytic metal from ≥0.03 to ≤5 ppm of hafnium. Ethylene interpolymer products comprise at least two ethylene interpolymers. Ethylene interpolymer products are characterized by a melt index (I2) from 0.3 to 500 dg / minute, a density from 0.855 to 0.975 g / cc and from 0 to 25 mole percent of one or more a-olefins. Ethylene interpolymer products have polydispersity, Mw / Mn, from 1.7 to 25; and CDBI50 values from 1% to 98%. These ethylene interpolymer products have utility in flexible as well as rigid applications.d⁢Log⁡(1 / In)d⁢Log⁡(loading)(I)

The application discloses a complex conduit first-order continuous center line reconstruction method based on scanning point cloud data and belongs to the field of engine geometric parameter digitization detection. After obtaining scanning point cloud data of an outer surface of a conduit, straight pipe data and curved pipe data of the complex conduit are segmented. For the segmented straight pipe and curved pipe data, random sampling cylinder fitting and circle fitting operation based on intersection of a vector point and a main plane are respectively performed to obtain trend lines of the straight pipe and the curved pipe. For the trend lines of the straight pipe and the curved pipe, center points of different pipe sections based on equally-spaced vertical section planes are solved, and linear fitting is respectively performed on the center points of the different pipe sections to obtain a plurality of discontinuous center line sections of the complex conduit. A cubic spline curve is adopted to perform first-order derivative interpolation fitting between adjacent straight line sections and circular arc section center lines to obtain a complex conduit first-order derivative continuous center line. The reconstructed center line is used as a reference for calibration of a pipe special-purpose measuring device measuring capacity.

The invention relates to a watermelon seed vigor grade classification method based on terahertz transmission and reflection imaging data fusion. The method comprises the following steps: firstly, performing artificial accelerated aging treatment on watermelon seeds under high-temperature and high-humidity conditions to obtain samples with different activity grades; then, a terahertz time-domain spectral imaging system is used for collecting transmission and reflection signals respectively, the transmission signals are subjected to color threshold segmentation to extract an embryo region, and the reflection signals are subjected to Canny edge detection and contour screening to extract a surface region; and after the obtained signal is subjected to smooth filtering and deconvolution processing, first-order derivative difference enhancement is further introduced, and a fusion spectrum is constructed by adopting a weighted fusion strategy. The fusion spectrum is subjected to weight distribution through a frequency attention mechanism and then input to a feature perception convolutional neural network, the network comprises two layers of one-dimensional convolution and nonlinear activation functions and is provided with high, medium and low activity branch classification paths, and finally a classification result of seed activity levels is output.

The present invention is a method for selecting a blood specimen that may have a coagulation abnormality, comprising: acquiring Ys(X) for a blood specimen under examination, wherein the blood specimen under examination is a blood specimen for which prolongation of APTT cannot be determined with certainty, and Ys(X) is a ratio (%) of Rs(i) to Rmax_s at a measurement point or time at which Vs(i) reaches X% of Vmax_s. Rs(i) is a coagulation reaction curve of the specimen, Vs(i) is a first derivative curve of Rs(i), Rmax_s is the maximum value of Rs(i), Vmax_s is the maximum value of Vs(i), VmaxT_s is a measurement point or time at which Vs(i) reaches Vmax_s, i is a measurement point or time, and X is a variable and X > 0. If the measurement point or time at which Vs(i) reaches X% of Vmax_s is after VmaxT_s, Ys(X) is defined as Ys(200 - X).

The invention discloses a theoretical model for spiral self-feeding shape correction of a pipe, which comprises the following steps of: establishing a theoretical formula of total kinetic energy T of the pipe on the basis of a thin-wall hypothesis under the conditions that a rotating shaft of the pipe is assumed to coincide with a bent plane and axial rolling of the pipe is ignored; establishing a simplified theoretical formula of potential energy V of the pipe on the basis of a reciprocating bending unified curvature theorem and a bidirectional effect under the condition of neglecting plastic dissipation of the pipe; modeling is conducted on the movement track of the pipe on the basis of the Lagrange equation so as to obtain a movement track equation set, and the movement track equation set comprises a coupling relational expression among the circumferential bending angle of the pipe, the spiral azimuth angle of the pipe and the axial self-feeding displacement s; wherein the Lagrange equation is as follows: Qq is the generalized force applied to the pipe, L is the Lagrange quantity, and q is the generalized coordinate system and is a first derivative of q.

The invention relates to the technical field of medical examination, and discloses an automatic station adjusting method and system for ophthalmologic examination, and the method comprises the steps: collecting a load input signal of a contact interface between a station supporting part and an examined part; separating a load fluctuation component with a frequency between 1 Hz and 5 Hz; determining a load phase lag value based on a first-order derivative of the fluctuation component, correcting phase deviation, and analyzing an elastic restoring force parameter; according to the invention, a load displacement transient cooperative compensation mechanism is established, the delay of a visual image feedback link is eliminated, the response period is enabled to be lower than 10ms, the physiological tremor phase is aligned, the mechanical hysteresis of soft tissue of the detected part is headed, and the dynamic compensation of the soft tissue of the detected part is realized. And the dynamic distance between the interference signal sampling plane and the fundus tissue is maintained.

This application discloses a method, apparatus, device, and storage medium for determining the critical load of a thin film. This application determines the total input energy load curve through a thin film scratch test. Based on the instantaneous normal load and total input energy in the initial stage of the scratch test, a baseline energy load curve for the entire stage is determined. Then, the failure energy load curve is determined using the energy balance method. This application performs first-order differentiation on the failure energy load curve and finds the peak value of the first-order derivative curve to determine the critical load of the thin film. This method eliminates the subjectivity of manual observation and the ambiguity of friction curves, greatly improving the repeatability of the results. Furthermore, this method eliminates the need to calculate cracking energy and peeling energy separately, avoiding the physical difficulties of directly calculating cracking energy and peeling energy. The peak value of the first-order derivative of the failure energy load curve more accurately corresponds to peeling in adhesion failure, thus the critical load can be accurately determined based on the peeling point.

This invention provides a method for measuring the thickness of silicon carbide epitaxial layers based on the principle of infrared interferometry, belonging to the field of semiconductor material parameter measurement technology. It proposes a two-beam interferometry mathematical model combining the Sellmeier equation, quantifying the dispersion characteristics of silicon carbide refractive index into the calculation of epitaxial layer thickness, establishing a precise quantitative correlation between epitaxial layer thickness and wavenumber, incident angle, and refractive index, solving the problem of errors caused by neglecting dispersion effects in existing two-beam models. An improved first-order differential extremum detection algorithm is designed, using a first-order derivative threshold to screen candidate points and a second-order derivative to determine the extremum type, effectively filtering out noise and false extrema, improving the extraction accuracy of key interferometric parameters. A complete algorithm flow of data preprocessing, model calculation, interferometric judgment, correction and optimization, and result verification is constructed, realizing automated and high-precision measurement of silicon carbide epitaxial layer thickness, filling the gap in the existing technology system.

The application provides a nonlinear system tracking control method with segmented discontinuous output constraint, to solve the problem that the constraint boundary function is discontinuous at a certain moment but bounded in a certain period of time when the system starts to run, and solve the problem that the system output is not limited by the constraint at a certain moment. Unlike the requirement of continuity and boundedness of the constraint boundary function and its high-order derivative in most existing methods, the application only requires the continuity and boundedness of the converted constraint boundary function and its first-order derivative, relaxes the requirement of the constraint boundary function, greatly improves the practicability of the control strategy, and reduces the complexity and computational burden of the controller. In addition, by changing the discontinuous time, without changing the controller structure and design parameters, the proposed control strategy can also be applied to other constraint conditions, such as continuous constraint conditions, discontinuous constraint conditions at a certain moment, and system output not limited by the constraint at a certain moment, further enhancing the practicability of the control strategy.

The invention relates to a method for process monitoring during production of a finished part (112) in a primary shaping process. The method comprises the following steps: a) providing at least one mould (114) designed for the primary shaping process, wherein the mould (114) has at least one cavity (116) for receiving at least one starting material for the hot-crosslinking material, and wherein an apparatus for determining a mould internal pressure is also integrated into the mould (114); b) heating the mould (114); c) introducing the at least one starting material for the hot-crosslinking material into the cavity (116) under pressure such that the finished part (112) is produced; d) detecting a progression of the mould internal pressure occurring in step c); e) differentiating, at least once or at least twice, the progression of the mould internal pressure in order to determine at least one derivative selected from the group consisting of: the first-order derivative and the second-order derivative; and f) characterising a progression of a chemical crosslinking reaction by means of at least one derivative selected from the group consisting of: the first-order derivative and the second-order derivative.

The application relates to the technical field of agricultural Internet of Things application services, and discloses a non-antibiotic poultry breeding management system and method, which comprises a data acquisition module, a logic processing module and an intervention control module; the logic processing module processes drinking water frequency time sequence and environmental temperature and humidity sampling data sets obtained by the data acquisition module, calculates phase delay characteristics of the drinking water frequency time sequence and an environmental heat stress index sequence in a phase space, then compares the phase delay characteristics with a dynamic metabolism benchmark to extract a representation deviation parameter, and when the representation deviation parameter penetrates a preset threshold, determines an injection concentration parameter of an adjusting agent according to a first derivative of the representation deviation parameter; the application captures the dynamic evolution law of the physiological buffering capacity of a biological organism through the phase delay characteristics, and realizes accurate identification of surface physiological heterogenization in the early stage of subclinical infection.

This invention belongs to the field of detection technology, specifically disclosing a method and system for detecting chloride ions in high-concentration samples used in the salt-making industry. The detection method includes the following steps: (1) cyclically taking samples from the process pipeline to ensure real-time sample availability; (2) diluting the sample to ensure that the concentration of the sample falls within the optimal detection range; (3) inputting the diluted sample into the titration system, performing titration using potentiometric titration, outputting the first derivative DE / DV in real time, and using a nonlinear normalization function to normalize the original DE / DV sequence to obtain S. norm Value, according to S norm Adjust the speed of the titration pump, S norm The point corresponding to the maximum value is the titration endpoint. The titration volume V2 of the silver nitrate standard solution at this point is recorded, and the chloride ion concentration in the pipeline sample is calculated. This invention stably maps the wide-range fluctuating DE / DV signal to a fixed interval, solving the core problem of inaccurate endpoint determination and ensuring the accuracy and reliability of the detection results.

The invention provides a cross-scale optimal scale ratio selection method for a transient strong nonlinear scale model test, and belongs to the field of engineering structures. The problem of large similarity conversion error caused by theoretical inapplicability of the existing method is solved. The method comprises the following steps: based on a model component test of a classical similarity theory, introducing a first-order derivative relationship that a variable pi item changes along with a scale ratio, establishing a micro-grouping similarity model and carrying out Taylor expansion to obtain an iterative relationship that the variable pi item changes along with the scale ratio; setting a scale ratio sequence, and converting the iterative relationship into a parabola mapping model representing the dynamic behavior of the system; the method comprises the steps of determining a pervasive constant and a scale-free interval corresponding to the pervasive constant on the basis of a reformation group theory, selecting a cross-scale optimal scale ratio according to the number of iterations, carrying out a model test, obtaining a model change pi time sequence, and carrying out similarity conversion on a model test result to a prototype on the basis of a parabola mapping model and the reformation group theory. The method is used in the field of transient strong nonlinear system dynamic response analysis.

The invention relates to the technical field of hyperspectral analysis, in particular to a method for early detection of mildewing of flue-cured tobacco leaves based on a time sequence hyperspectral image. According to the method, a principal component analysis method is adopted to carry out dimension reduction processing on a hyperspectral image, and time sequence dynamic feature extraction is carried out on the hyperspectral image after dimension reduction through a first-order derivative, a second-order derivative, backward short-time energy and accumulated energy; the generative adversarial network is adopted to carry out data enhancement on the health sample, and JS divergence is adopted as an evaluation index; a Wasserstein distance is adopted to replace JS divergence, and a gradient penalty term is added into a loss function to replace gradient shearing; a CWGAN-GP framework is adopted to generate data, a generation process is guided by introducing a category label, a generator generates a sample through splicing a random noise vector and a condition vector and expanding a hidden layer, and a discriminator outputs the probability that the data is true through compressing the hidden layer. Effective technical support is provided for tobacco leaf quality control.

The application provides a gas chromatograph peak separation method and system based on wavelet transform and multi-derivative characteristics, and relates to the technical field of gas chromatography analysis. The technical scheme provided by the application realizes the automatic identification of the peak starting point, the peak top point and the peak ending point by comparing the numerical relationship between the first derivative data, the second derivative data and the determination threshold value in the process of traversing the time sequence of the target chromatographic data. Based on the accurate identification of the peak starting point, the peak top point and the peak ending point, the vertical line peak separation method is used to separate the chromatographic peaks, the accurate separation of complex peak types such as overlapping peaks and shoulder peaks is realized, and the analysis accuracy of the chromatographic data is improved.

The specification provides a fracturing wellhead pressure prediction method and device based on multivariate data regression. Multivariate fracturing construction data of a target well in a target area is acquired; a crack initiation point and a pump stop point are determined according to a first-order derivative of a displacement and a first-order derivative of a tubing pressure in the multivariate fracturing construction data, and effective operation data from the crack initiation to the pump stop are determined by using the crack initiation point and the pump stop point; the effective operation data is mapped to a preset sampling step length by using a preset linear interpolation rule to determine a fixed-length feature sequence meeting a preset dimension; a final multivariate feature tensor is determined according to the fixed-length feature sequence by using a preset feature derivation calculation rule; and a full-sequence wellhead pressure prediction value of the target well is determined by using a preset pressure prediction model and the final multivariate feature tensor. Thus, full-sequence wellhead pressure prediction of the target well is realized, effectively solving the problems of insufficient prediction accuracy and poor sequence integrity in the prior art.

This application provides a method, apparatus, device, and storage medium for nucleic acid amplification curve analysis, relating to the field of molecular biology. The method includes: fitting and solving the derivatives of nucleic acid amplification data to obtain the first-order derivative curve and higher-order derivative curves of the nucleic acid amplification curve; substituting the peak points of the first-order derivative curve and higher-order derivative curves into the first-order derivative curve for calculation to obtain characteristic points on the first-order derivative curve; performing linear fitting and normalization on the characteristic points to obtain the normalized first-order derivative curve of the nucleic acid amplification curve; and determining the cycle threshold of the nucleic acid amplification curve based on the normalized first-order derivative curve. By determining the cycle threshold of the amplification curve based on the normalized first-order derivative, the problem of different fluorescence intensity values ​​caused by edge effects is avoided, and no reference dye is required, thereby greatly optimizing the experimental procedure and improving experimental efficiency.

The application discloses an ultrasonic recognition method of a biomarker in a biological tissue, and comprises the following steps: step one: obtaining a characteristic kernel of the biomarker; 11) collecting ultrasonic signals of the biomarker in static water to obtain a sample signal; 12) performing convolution operation on the sample signal and the sample signal itself to obtain the characteristic kernel; step two: obtaining a search signal stream of the biological tissue; 21) collecting ultrasonic signals of the biological tissue to obtain an original signal; 22) performing convolution operation on the original signal and the sample signal to obtain the search signal stream; step three: recognizing ultrasonic scanning information of the biomarker; 31) respectively calculating the first-order derivatives of the characteristic kernel and the search signal stream; 32) searching for a data segment with the same sign as the first-order derivative of the characteristic kernel in the first-order derivative of the search signal stream; and step four: if the biomarker exists, marking the biomarker signal segment in the original signal to obtain ultrasonic scanning information corresponding to the biomarker.

The invention discloses a critical load determination method and device of a film, equipment and a storage medium. According to the method, a total input work load curve is determined through a film scratch experiment, a baseline energy load curve of a whole stage is determined based on an instantaneous normal load and total input work of an initial stage of the scratch experiment, and then a failure energy load curve is determined according to an energy balance method; according to the method, the failure energy load curve is subjected to first-order derivation, the peak value of the first-order derivative curve is searched to determine the critical load of the thin film, the subjectivity of manual observation and the fuzziness of a friction curve are eliminated, and the repeatability of the result is greatly improved; moreover, according to the method, cracking energy and stripping energy do not need to be calculated respectively, the physical problem of directly calculating the cracking energy and the stripping energy is avoided, the peak value of the first-order derivative of the failure energy load curve corresponds to stripping in adhesion failure more accurately physically, and therefore the critical load can be accurately determined based on the stripping point.

The invention relates to the technical field of motion control, and discloses a multi-section motion speed smooth transition-based regulation and control system, which comprises an instruction look-ahead unit for acquiring a state deviation vector of a motion section connection point; the parameter modulation unit constructs a control potential energy model representing energy distribution; the dynamic adjusting unit obtains an inertia coupling matrix of the driving execution unit, calculates a transition correction increment in combination with gradient pointing of a control potential energy model, and converts signal jump into guiding force information; the optimization output unit loads guiding force information into an energy functional to adjust coordinates of a control point of a to-be-machined path, and target spline parameters with first-order derivative continuity are output. Physical domain resonance impact is counteracted in advance by constructing a control potential energy model, phase lag and track precision loss caused by traditional filtering are avoided, and the precision of the to-be-machined path is improved. And smooth and high-precision operation of the multi-axis linkage system is ensured.

The invention relates to a real-time gas concentration prediction model and method based on response curve slope judgment, and belongs to the technical field of gas sensing and intelligent detection. The method comprises the following steps: acquiring a resistance signal of a gas sensor array in real time and calculating a first-order derivative of a response curve; automatically judging a gas response stage based on the first-order derivative, and extracting responsivity when the response is stable; inputting the features into a pre-trained gas concentration prediction model, and outputting a concentration prediction result of each component; based on the prediction error of the new data, calibration or retraining of the model is dynamically triggered to achieve adaptive update. Through full-process real-time processing and an intelligent calibration training mechanism, sensor baseline drift and gas cross interference are effectively dealt with, ppm-level high-precision prediction of various volatile organic compounds under complex concentration combinations is realized on the premise of remarkably reducing the training cost, and the stability and reliability of long-term operation of the system are ensured.