3701 results about "Signal amplification" patented technology

The invention relates to the technical field of brain-computer interfaces, in particular to an electroencephalogram signal amplification method, device and equipment based on topological gradient field coding. The method comprises the following steps: acquiring a first data set corresponding to a scalp electroencephalogram of a testee through electroencephalogram acquisition equipment, and performing Hilbert transform to extract phase information so as to calculate a topological gradient field; key phase features meeting the energy concentration ratio feature and the duration feature are extracted from the topological gradient field, so that the key phase features with the energy concentration ratio threshold value larger than a preset value and the duration exceeding a time threshold value are screened out; inputting the key phase features to a pre-constructed generative adversarial network, and generating an enhanced phase field by a generator of the generative adversarial network through adversarial training; and combining the enhanced phase field with the low-frequency amplitude component, subjected to wavelet decomposition, of the first data set to construct a complex field, simulating spatio-temporal evolution of the complex field based on a nonlinear dynamic model, and generating a finally enhanced and amplified electroencephalogram signal. And efficient characterization of electroencephalogram phase information is realized.

The invention relates to the technical field of radar sensing, and discloses a sensing method and system based on millimeter radar waves. The method comprises the steps that millimeter wave radar receiving signals are subjected to low-noise amplification, frequency bands are screened through a band-pass filter and then mixed with local oscillation signals to obtain distance and speed information, after analog-to-digital conversion digitization, features are extracted to distinguish a human body target in a closed / open space, and finally multi-scene adaptability analysis is executed to generate human body position state information. According to the invention, through construction of a signal processing link, from signal amplification, filtering, frequency mixing and digital processing to target identification and multi-scene adaptability analysis, comprehensive perception of a human body target is realized, a static human body and a non-human body interference source can be effectively distinguished, a processing strategy is automatically adjusted according to different space environment characteristics, and the processing efficiency is improved. And the accuracy and reliability of human body perception are greatly improved.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention discloses a grinding force online detection control device and method, and relates to the technical field of precision grinding machining force measurement, a spring chuck is arranged in a containing cavity, and the outer wall of a detection shaft section is a tapered conical surface; the threaded gland is connected with the connecting shaft section to axially limit the spring chuck, the mounting handle is provided with a first conical cavity, the threaded gland is provided with an avoiding hole, the piezoelectric sensors are mounted on the detection shaft section, the grinding wheel spindle acts on the piezoelectric sensors through the detection shaft section, and the piezoelectric sensors are used for detecting tangential force, normal force and axial force. The signal amplification processing module can convert charge signals output by the piezoelectric sensor into digital signals and output the digital signals to the terminal, and the terminal can control logic to control the grinding head to maintain constant-force grinding according to a preset grinding force target value. According to the method, all-directional real-time detection and control over the grinding force are achieved, the accuracy and the real-time performance are improved, and a new control method is provided for low-damage machining of hard and brittle materials.

The invention, which relates to the technical field of cable fault detection, discloses a diagnosis device suitable for fault early warning and positioning of an overhead cable of a power transmission line, comprising a detection data acquisition unit, a partial discharge detection unit and a fault detection processing unit. According to the invention, the sensor optimization module is used for optimizing the sensor, the signal auxiliary module is used for assisting the signal, and the electromagnetic interference during cable detection can be reduced after processing, so that the acquired traveling wave signal is stabilized, and the signal is enhanced and the signal-to-noise ratio of the signal is improved through the signal amplification and signal filtering technology. The influence of noise and interference signals on the traveling wave signals is reduced, the traveling wave signals are conveniently and stably obtained, errors during fault diagnosis and positioning are reduced, the accuracy degree of fault diagnosis is ensured, early warning is conducted in time when a fault occurs, positioning is assisted through a distributed optical fiber temperature measurement method, the accuracy of fault positioning can be ensured, and rapid maintenance of a subsequent cable is facilitated.

The embodiment of the invention provides a signal processing circuit, a chip and electronic equipment. The signal processing circuit comprises an analog-to-digital conversion module and a signal amplification module, the first chopping switch module is used for modulating the differential input signal to high frequency under the control of a preset clock signal and inputting the signal to the signal amplification module; the second chopping switch module is used for modulating the differential output signal output by the signal amplification module to a low frequency under the control of a preset control signal and inputting the low frequency to the analog-to-digital conversion module; and the second chopping switch module also enables the analog-to-digital conversion module to establish sampling under the control of a preset control signal. According to the application, the second chopping switch module is multiplexed as a sampling switch of the analog-to-digital conversion module, so that the problem that on-resistance is increased due to the fact that a chopping demodulation switch and the sampling switch are arranged at the same time can be avoided.

The invention relates to the technical field of music feedback, in particular to a music feedback training interface interaction method and system based on electroencephalogram data, and the method comprises the following steps: collecting electroencephalogram data of a user based on an electroencephalogram collection device, and removing environmental noise and non-target signals through signal amplification and filtering processing to obtain a user electroencephalogram data set. According to the method, the emotion recognition accuracy and time sensitivity are improved by analyzing the brain wave frequency band intensity, judging the emotion state of the user and recording the emotion change time point, and the emotion recognition accuracy and time sensitivity are improved by matching music tracks of the emotion state, combining real-time monitoring of electroencephalogram reaction and adjusting the rhythm, volume and spatial sound effect setting of music. Dynamic adjustment of music output parameters is achieved, the emotion intervention requirement is optimized, emotion improvement and user satisfaction are evaluated according to brain wave changes of the user, and the improvement effect of music intervention on the psychological state of the user can be measured.

The invention relates to the field of nucleic acid detection, in particular to a multifunctional dumbbell type nucleic acid probe, a kit, a target detection method and application thereof. The multifunctional dumbbell type nucleic acid probe provided by the invention comprises two or more of the following functional areas: a promoter area used for being combined with RNA polymerase; the target recognition area is used for recognizing and combining a target sequence and opening the dumbbell type nucleic acid probe; the dumbbell type nucleic acid probe can be transcribed and combined with a rolling ring, a specific sequence is subjected to mass transcription, amplification of the specific sequence is achieved, finally, signal amplification is achieved during detection, and the dumbbell type nucleic acid probe has the advantages of being simple in reaction system, low in background signal and high in detection specificity; and the dumbbell type nucleic acid probe can be designed according to different target sequences, so that the controllable detection of different targets can be realized.

The invention discloses a design optimization method of a radio frequency power amplifier, and relates to the technical field of design optimization. The method comprises the following steps: collecting the working frequency and the circuit topological structure of the radio frequency power amplifier, establishing a digital twin simulation model, and generating an initial impedance value; simulation performance indexes of the amplifier under the input signal are obtained through simulation; matching network parameters are adjusted according to a dynamic reconstruction matching network algorithm, and a dynamic optimization impedance set is generated; controlling the tunable element to reconstruct the actual impedance value of the radio frequency power amplifier, and collecting the actual performance index of the output signal; comparing an error between the simulation performance index and the actual performance index, and if the error exceeds a preset error threshold, iteratively updating a parasitic parameter of the digital twinborn model; and if the error is within the threshold value, locking the actual impedance value as the optimal configuration, and amplifying and outputting the input signal. The working efficiency of the radio frequency power amplifier is improved.

The invention provides a low-noise amplification circuit and a radio frequency power amplifier module, and the low-noise amplification circuit comprises an input matching circuit, a cascode amplification structure, an output matching circuit and a path switching assembly. The input matching circuit comprises a first inductor, a second inductor, a first capacitor and a third inductor; the output matching circuit comprises a fourth inductor, a second capacitor, a fifth inductor, a third capacitor and a fourth capacitor; and the access switching assembly is used for selecting channels of the low-noise amplification circuit, so that a radio frequency signal accessed by the first inductor is directly output or output after being amplified by the cascode amplification structure. According to the low-noise amplification circuit, on the premise that the noise coefficient is reduced and the gain is matched, the order of an input and output matching network does not need to be increased, and correspondingly, the cost and the area of the low-noise amplification circuit are not increased.

Described herein are methods, compositions and articles of manufacture involving neutral conjugated polymers including methods for synthesis of neutral conjugated water-soluble polymers with linkers along the polymer main chain structure and terminal end capping units. Such polymers may serve in the fabrication of novel optoelectronic devices and in the development of highly efficient biosensors. The invention further relates to the application of these polymers in assay methods.

The invention relates to the technical field of mining dust concentration monitoring, in particular to a mining dust concentration monitoring system and method, and the system comprises a dust sensor module, a signal amplification and filtering module, an analog-to-digital conversion module and a data processing and monitoring module; the dust sensor module is used for detecting the dust concentration in an underground coal mine and adopts a multi-mode detection mode combining electrostatic induction and optics; the signal amplification and filtering module comprises a low-noise amplifier and a self-adaptive filtering circuit, the multi-mode sensor is combined with the automatic temperature compensation and self-adaptive filtering technology, the measurement precision and the signal stability of the concentration of tiny dust in a complex environment are greatly improved, meanwhile, the temperature compensation function is introduced, and the measurement precision is improved. And by combining a nonlinear compensation algorithm, a dynamic response adjustment mechanism and a multivariable compensation system, the stability and precision of signal amplification in a complex underground coal mine environment are remarkably improved.

The invention relates to the technical field of optical particulate matter sensing, in particular to a particulate matter particle size recognition and concentration detection method. The method comprises the following steps: laser emitted by a laser forms a laser beam which is focused and then diverged through a lens; with a laser focus as a reference, at least two photosensitive devices are distributed in the light beam propagation direction and comprise a perifocus device and a far focus device, and receiving surfaces of the near focus device and the far focus device face laser beams to collect scattered light; scattered light signals of each device are collected, and are input into a processing unit after independent current / voltage conversion, signal amplification and analog-to-digital conversion; based on the characteristics that small-particle-size scattered light is preferentially captured by perifocus high irradiance and large-particle-size scattered light is preferentially captured by far focus large beam diameter, a mapping relation between particle sizes and channels is established; the number concentration and mass concentration coefficient of each channel is calibrated through standard particles, and synchronous detection of PM1.0, PM2.5 and PM10 is realized in combination with linear processing, so that the particle size recognition precision and the concentration measurement reliability are effectively improved.

The invention provides an integrated electrochemical biosensor capable of detecting double miRNA with high sensitivity, and the integrated electrochemical biosensor can simultaneously detect double miRNA markers with high sensitivity through self-assembly of a Y-shaped capture probe, preparation of an Au / TiO2-FTO array electrode, catalytic hairpin amplification (CHA) and construction of a micro-droplet chip electrochemical biosensor. The advantages of equalization of double-target miRNA capture probe sites, excellent electrode performance, reliable signal amplification, low sample consumption and the like are integrated, the linear range of miRNA21 and miRNA155 detection is 10 fM to 100 nM, and the detection limits are 5.00 fM and 5.17 fM respectively. By detecting the miRNA21 and miRNA155 double markers, the accuracy of breast cancer diagnosis is up to 98%, and the recognition sequences at the two ends of the Y stent probe are modified, so that the sensor can be used for diagnosing other miRNA marker related diseases. The integrated micro-droplet chip electrochemical biosensor constructed by the invention has a remarkable clinical diagnosis value and a prominent practical application prospect.

Certain aspects of the present disclosure generally relate to electronic components and, more particularly, to circuitry for signal amplification for transmission. One example apparatus generally includes: a modem; a controller; a feedforward path coupled between the modem and the bias controller; and an amplifier having a main amplification path and an auxiliary amplification path, wherein the controller is configured to provide at least one bias signal for biasing the auxiliary amplification path based on information associated with a transmission signal, the information being provided by the modem to the controller via the feedforward path.

The invention discloses a stress monitoring method and system for cable laying and a storage medium. A sensor module is used for collecting parameter data of cable laying machine driving force, cable contact force, cable arrangement machine cable side pressure, cable arrangement machine conveying speed and cable traction force; the signal processing module is used for sequentially carrying out voltage stabilization, noise reduction, filtering, signal amplification and AD conversion processing on the acquired data; filtering the digital signal of the data after AD conversion by using an oversampling technology; digital signals of the data are sorted and packaged through the FPGA module and are transmitted to the data analysis module; the data analysis module analyzes the data signals to obtain the stress change condition and the quantitative evaluation condition of the construction quality in the cable laying process, and the intelligent control terminal analyzes, predicts and controls the state of the laid cable according to the stress change condition and the online quantitative evaluation condition. The intelligent degree in the cable laying process is high, and the data calculation accuracy is high.

The invention provides a temporomandibular joint health state monitoring system and method based on joint vibration information, the system comprises a pasting touch type sound sensor, a microcontroller and an interactive display terminal, the pasting touch type sound sensor is used for pasting on a temporomandibular joint, obtaining a three-dimensional joint vibration analog signal, and sending the three-dimensional joint vibration analog signal to the microcontroller; the microcontroller carries out signal amplification, filtering processing and noise elimination, converts the signals into digital signals which can be identified and stored by the display terminal, and sends the digital signals to the interactive display terminal; the interactive display terminal is used for realizing real-time visual output of a three-dimensional joint vibration oscillogram and realizing an interaction function, and judging the health state of the temporomandibular joint based on an input maximum mandibular movement range, existence or absence of pain and joint noise parameters; on the basis of more comprehensive joint vibration information, real-time quantitative monitoring of the health state of the temporomandibular joint can be more accurately achieved, and a doctor can effectively and preliminarily screen the health state of the joint and a user can conduct self-monitoring at home conveniently.

The invention discloses a non-contact mud flowmeter signal processing system, which comprises a sensor unit, a signal amplification unit, a signal processing unit, a control unit and a flow calculation and display unit, and is characterized in that the sensor unit is used for acquiring a pressure pulsation signal of fluid in a pipeline; the signal amplification unit is used for performing signal pre-amplification and filtering; the signal processing unit carries out signal conditioning and conversion. The control unit is used for storing the digital signal and simultaneously carrying out time sequence control; and the flow calculation and display unit calculates and displays the flow velocity and the flow of the pipeline. Through non-contact flow measurement, the problems of abrasion, water leakage and regular overturning of a detection sensor of a traditional dredger electromagnetic flow meter are effectively avoided, the service life is long, and meanwhile the precision is higher than that of an ultrasonic flow meter.

The invention discloses a dual-compensation active common-mode EMI filter based on impedance mismatch and a design method thereof, and belongs to the technical field of filter design, the dual-compensation active common-mode EMI filter is connected between an interfered end and an interference source end, the dual-compensation active common-mode EMI filter comprises a voltage sampling circuit, a signal amplification circuit and a compensation circuit, the compensation circuit comprises a voltage injection module and a current injection module, the first end of the voltage injection module is connected with the first end of the voltage sampling circuit, the second end is connected with the second end of the signal amplification circuit, and the third end is connected with the first end of the interference source end; the first end of the current injection module is connected with the second end of the signal amplification circuit, the second end is connected with the third end of the voltage injection module, and the third end is connected with the second end of the interference source end. According to the invention, the insertion loss of the filter can be significantly improved, the filter has an effective bandwidth enough to cover and conduct electromagnetic interference, has better attenuation on full-band noise signals, and has the advantages of small size and high insertion loss.

The invention discloses a multi-parameter coupling detection method of an integrated optical sensor and related equipment. The detection method comprises the following steps: injecting different trace medicament combinations into a to-be-detected sample in a plurality of micro-fluidic sub-channels according to a preset time sequence; performing phase shift coding acquisition on the differential optical response signal, splitting a broadband light source into a plurality of wavelength subintervals, and generating a coded light signal with a preset phase shift amount; calculating a cross-correlation function between the channels, and performing signal amplification or suppression processing on the channel group with high coupling degree; multi-dimensional feature extraction is carried out, and the differential interference amount, the amplitude ratio and the phase synchronization degree between channels are calculated; baseline drift and noise distribution are monitored in a preset time window, and parameter adjustment is carried out; and performing self-learning evaluation on the detection data, updating identification model parameters, and generating a multi-parameter fingerprint spectrum. According to the technical scheme, the problems of signal aliasing and insufficient sensitivity in multi-parameter detection are effectively solved, and high-precision synchronous detection can be carried out on various target objects.

The invention discloses a spacecraft executing mechanism fault diagnosis and online calibration device and method based on double sensors, and belongs to the technical field of aircraft control and ground simulation. In order to carry out detection and off-line compensation on errors, the device comprises an absolute grating encoder, an actuating mechanism expansion shaft, an inductosyn, a control moment gyroscope, a photoelectric reading head and a signal amplification circuit, the absolute grating encoder, the inductosyn and the control moment gyroscope are coaxially installed through the executing mechanism expansion shaft, one end of the executing mechanism expansion shaft is connected with the absolute grating encoder, the other end of the executing mechanism expansion shaft is connected with the inductosyn, and the inductosyn is connected with the control moment gyroscope. The absolute grating encoder is connected with a first processing circuit box through a photoelectric reading head wire, and the first processing circuit box is connected with an upper computer. The inductosyn is connected with the signal amplification circuit and the excitation power supply through wires, the signal amplification circuit is connected with the second processing circuit box through a wire, and the second processing circuit box is connected with the upper computer.

The invention discloses a high-speed level conversion circuit, and belongs to the technical field of integrated circuit design, the circuit mainly comprises an input signal processing module, a voltage boosting module, a differential signal generation module, a signal amplification module and an output module, the input signal processing module converts a low-voltage input signal into a complementary logic signal pair; the voltage boosting module raises the voltage amplitude of the complementary logic signal by using a charge pump principle; the lifted signal drives a thick gate transistor in the differential signal generation module to generate a differential signal; the signal amplification module adopts a cross coupling structure to quickly amplify the differential signal; and finally, the output module outputs a high-voltage domain signal in an inverted manner. By introducing voltage bootstrap before gate driving, the overdrive voltage of a core switch tube is remarkably increased, so that the problem of low conversion speed of a traditional level conversion circuit is effectively solved on the premise of not increasing the device size and static power consumption, and high-speed and high-efficiency level conversion is realized.

Provided herein are methods of determining a location or presence of a target analyte in a biological sample by detecting oligonucleotide-conjugated binding agents.

A 2-micron large-energy solid two-way amplifier based on a single-frequency pulse optical fiber preceding stage can make full use of the small signal amplification capacity of optical fiber laser and the energy extraction capacity of solid laser, and meanwhile the problem that energy is difficult to improve due to the stimulated Brillouin scattering effect in an optical fiber is solved. And high-stability, high-repetition-frequency and large-energy single-frequency pulse laser output can be realized. The all-fiber cascade amplifier comprises an all-fiber cascade amplifier and a solid two-way amplifier, according to the all-fiber cascade amplifier, a continuous narrow-linewidth fiber laser is adopted as a seed source, continuous light is modulated into pulse light through an acousto-optic modulator, and the waveform, the pulse width and the repetition frequency of output pulse laser are adjusted; the modulated pulse light adopts a main oscillation power amplification structure and is preliminarily amplified by a polarization maintaining optical fiber amplifier; the solid-state amplifier adopts a two-way amplification structure, and further high-efficiency amplification is realized through solid-state two-way amplification. The whole laser system is compact in structure, stable, adjustable in parameter and capable of meeting application requirements of different scenes.

The invention relates to the technical field of multi-parameter dynamic monitoring, in particular to a multi-parameter dynamic monitoring system and method based on a fiber bragg grating. Comprising a light source modulation module, an optical signal amplification and distribution module, a dense fiber grating array module, a phase sensitive interferometer enhancement module, an intelligent demodulation algorithm processing module, a multi-dimensional parameter fusion analysis module, a data acquisition and storage module and a system control remote monitoring module. The light source modulation module is used for providing a tunable scanning laser and a semiconductor electro-optical modulator; simultaneous measurement of multiple parameters is achieved through the fiber bragg grating, multiple independent sensors are not needed, the complexity and cost of the system are greatly reduced, the fiber bragg grating is small in size and light in weight, can be flexibly arranged in a monitoring area and is particularly suitable for occasions with limited space, and due to the fact that reflection spectrums of the fiber bragg grating are obtained at the same time, the measurement accuracy is high. Therefore, data among different parameters are synchronous, and the accuracy of a monitoring result is improved.

The invention discloses a novel tsRNA high-sensitivity detection kit based on CRISPR (clustered regularly interspaced short palindromic repeats) / Cas13a-Cas14a, and belongs to the field of tumor marker detection. The tsRNA (tRNA-derived small RNA) is a diagnostic marker which is found recently and has great potential. In order to realize the clinical transformation of tsRNA as soon as possible, the tsRNA detection kit is developed on the basis of nuclease P1 combined with CRISPR / Cas13a-Cas14a linkage dual systems, and comprehensive, ultra-sensitive, high-specificity, low-cost and rapid tsRNA detection is realized through multiple signal amplification. Compared with the traditional technology, the sensitivity of the method is improved by 105-107 times, 1% of tsRNA in the mixture can be detected, and the method has more advantages in clinical application. Therefore, a new scheme is provided for application of the tsRNA in clinical diagnosis of diseases, and meanwhile, a reliable technology is provided for mechanism research of the tsRNA in occurrence and development of the diseases.

The invention relates to the technical field of radio-frequency signal processing, and discloses a 5G radio-frequency signal amplification method and system, and the method comprises the steps: decomposing an obtained radio-frequency signal into a high-frequency sub-band and a low-frequency sub-band through a multilayer wavelet packet, judging whether the radio-frequency signal is sparse in a wavelet packet domain, and carrying out the sparse reconstruction of an LI norm minimization problem if the radio-frequency signal is sparse; obtaining feature data of each sub-band, extracting a nonlinear transfer function of each sub-band through a CNN-GRU network, and carrying out transfer learning pre-training and dynamic adaptation updating; on the basis of dynamic adaptation update ending, layered memory polynomial calculation and layered model joint output construction, layered model parameter optimization is converted into a least square problem to obtain an error compensation function, and resource allocation is dynamically adjusted according to the peak-to-average power ratio of an input signal; and based on power amplifier state data, holographic sensing is performed on nonlinear parameters of the device through a fusion model, and dynamic changes of the device are compensated through multi-stage calibration and calibration delay is controlled.

A logarithmic amplifier system is disclosed. The system includes first and second amplifiers respectively having first and second gains; a first multiplier having an input connected to an output of the first amplifier, and being configured to output a first multiplied signal based on an output signal of the first amplifier and based on a received first multiplication factor equal to a value K; a second multiplier having an input connected to an output of the second amplifier, and being configured to output a second multiplied signal based on an output signal of the second amplifier and based on a received second multiplication factor equal to 1 minus the value K; a transition shaping circuit configured to change the value K from 0 to 1 with a filtered transfer function; and a summing circuit having inputs coupled to outputs of the first multiplier and the second multiplier.

The present invention discloses an audio recording and conversion method for a Bluetooth headset, specifically related to the field of audio recording and conversion. The present invention pairs and connects with the Bluetooth headset by turning on the Bluetooth function of the sound source device; subsequently, the recording process is started by pressing the "Recording" button on the headset, and the system guides the user to select the audio format and confirm the recording settings; during recording, the built-in microphone of the headset collects audio signals in real time, denoises and amplifies the collected audio signals, and then converts the processed audio signals into digital signals; the processed digital signals are embedded with watermarks, and the watermark evaluation value is calculated, and the watermark is verified by comparing the watermark evaluation value; then, the digital signals are converted into analog signals and reconstructed into audio signals, and finally, the system performs watermark detection on the reconstructed audio signals, and ensures the integrity and authenticity of the audio signal data by comparing the detected watermark information.

The invention provides an immunodetection method of a multi-index immune checkpoint detection kit, which belongs to the technical field of immunodetection and comprises three main stages of sample preparation, immune reaction and data analysis. The method comprises the following steps: firstly, carrying out centrifugal separation to obtain a plasma sample, and preparing a fluorescent microsphere coupled capture antibody and biotin labeled detection antibody compound; then carrying out immune reaction, forming a sandwich type immune complex through specific binding, and adding streptavidin marked by phycoerythrin for signal amplification. Detecting a fluorescence signal by adopting a flow cytometer to obtain an original data matrix; a contribution feature vector, a utility feature vector and an expression feature matrix are extracted through a feature decomposition algorithm, and a deep learning model of a total-score-total structure is established for data analysis. Finally, a detection report containing a quantitative result, an importance score and reliability evaluation is generated, and the technical problem that in the prior art, the analysis accuracy of a multi-index immune checkpoint detection result is insufficient is solved.