2568results about "Phase-affecting property measurements" patented technology

The invention discloses a metal surface quality detection method and system, and relates to the technical field of metal surface quality detection. The method is used for solving the problems of low microdefect detection precision, weak technological parameter relevance and closed-loop control deficiency of the high-reflection surface. The metal surface is irradiated through multi-angle coherent light field serialization, the phase offset of interference fringes is analyzed to generate three-dimensional shape data, and reflection noise interference is restrained. Defect depth gradient is extracted based on dynamic segmentation of process parameter constraint, deposition temperature and pressure deviation are quantified through deconvolution calculation, and process deviation feature distribution is constructed. Finite element simulation is utilized to generate a process-morphology mapping atlas library, cross-domain invariance features are extracted through depth constraint manifold alignment and comparative learning, and a causal correlation model of defect types and process parameters is established. And dynamically adjusting process parameters according to the weight gradient, and reflowing data to update the manifold rule. And high-precision three-dimensional defect detection, process deviation traceability and adaptive parameter optimization are realized.

The invention provides a multi-layer optical film detection method, device and equipment and a storage medium, and the method comprises the steps: obtaining a polarization phase difference signal of transmission light and reflected light through multi-angle incidence irradiation of a multi-band programmable laser source, and recording the polarization ellipticity parameter change; then combining confocal microscopic interference and polarization analysis to determine a space coordinate and a stress distribution diagram of a stress abnormal region; continuously irradiating in a photo-thermal coupling environment through a broadband light source, and monitoring interference signals, polarization states and temperature changes to obtain dynamic evolution characteristics; and finally, performing a simulation test on the multi-layer optical film in a system environment with preset optical axis arrangement and light beam energy distribution, obtaining an in-situ polarization state and interference pattern data, and evaluating the optical performance of the film layer. According to the invention, potential defects can be positioned under high resolution, and the reliability and imaging quality of the film layer under complex application conditions can be accurately evaluated.

The invention relates to the technical field of structure health monitoring, and discloses an underground pipe gallery structure corrosion monitoring and evaluation method based on optical fiber sensing, which comprises the following steps: constructing a composite optical fiber sensing structure which comprises a Fe-C alloy coated optical fiber and a long-period grating, synchronously monitoring the chemical component change and the structural mechanical state of the corrosion product through the photoluminescence spectrum characteristic peak displacement and the strain distribution cloud picture; measuring deviation caused by coating layer loss is dynamically corrected in combination with the change rate of the environment refractive index; a reference grating is embedded to eliminate temperature drift interference, and iron ion in-situ deposition is triggered to realize sensing interface self-repairing. According to the invention, through a multi-physical-quantity cooperative sensing and self-adaptive compensation mechanism, the problems of signal interruption and the like caused by difficult decoupling of chemical-mechanical parameters and film coating failure in traditional monitoring are avoided, the long-term stable monitoring capability of a corrosion process in a complex environment is remarkably improved, and high-precision data support is provided for safety assessment of an underground pipe gallery structure.

The invention belongs to the technical field of film quality analysis and evaluation, and particularly relates to a flexible circuit board film pressing quality detection and analysis method and system. The method comprises the steps of generating a self-adaptive scanning path based on a design file and surface deformation data; performing multi-modal data acquisition and fusion along a path through optical surface scanning, ultrasonic tomography and an optical coherence tomography imaging assembly; potential defects are positioned, and size, shape, position and defect type probability values are quantized; judging the authenticity of the defect by adopting a three-stage mechanism of cross-modal probability comparison, physical characteristic logic verification and multi-frame time sequence verification; and performing weighted scoring on the real defect matching acceptance standard table, and performing disqualification marking or outputting a process optimization suggestion to the pressing equipment according to a scoring result. According to the invention, the imaging limitation of the transparent coating layer is broken through, the internal interface layering and the precise detection of the microbubbles are realized, and the closed-loop control from detection to production adjustment is formed.

The invention relates to the cross technical field of atmospheric science and communication technology, in particular to an atmospheric refraction and waveguide environmental parameter detection and prediction method and device, and the method comprises the following steps: carrying out the power distribution of a light beam of a broadband light source through employing a light splitting element based on the emission of the broadband light source, and forming a detection light beam and a reference light beam, and guiding the detection light beam to pass through a preset open atmosphere optical path, and guiding the reference light beam to pass through a known refractive index stabilizing medium or a vacuum pipeline. The detection light beam and the reference light beam are formed through light splitting of the broadband light source, the detection light beam penetrates through the open atmosphere path, the reference light beam passes through the stable medium, Fourier transform is carried out on interference signals of the two light beams to extract wavelength phase difference mapping data, and tiny optical path change caused by atmospheric refractive index disturbance can be captured. Compared with the traditional single-point or single-path measurement, the sensing sensitivity and the measurement dimension of the atmospheric refractive index spatial nonuniformity are improved by using the broadband spectral information.

The invention discloses an intelligent detection method for water pollutants, which comprises the following steps of: transmitting a signal of a specific frequency band to a water body through an electromagnetic wave transmitting module, acquiring reflected and refracted signals by using a multi-channel receiver, extracting the characteristics of dielectric constant, refractive index and the like of the water body, and analyzing the types and the concentration range of the pollutants by adopting a pattern recognition algorithm; the method comprises the following steps: selecting a micro-fluidic chip and an electrochemical unit, selecting a corresponding biosensor for targeted detection, processing detection data through the micro-fluidic chip and the electrochemical unit, predicting the concentration, spatial distribution and trend of pollutants through a data analysis module, setting a dynamic self-adaptive threshold by the system, realizing pollution early warning, and uploading data to a cloud platform through a remote communication module. And remote monitoring is supported. The method can be widely applied to the fields of water quality monitoring, environmental protection and pollution control, and the detection precision, the real-time performance and the intelligent level are improved.

A system performs a method for characterizing passage of a patient fluid through a conduit. The method includes quantifying flow of fluidic content through a conduit, where the fluidic content includes a patient fluid, estimating a concentration of a fluid component of the patient fluid in the fluidic content, and characterizing passage of the patient fluid loss through the conduit based on the quantified flow and the concentration of the fluid component. At least one of the quantified flow or the concentration of the fluid component is based on sensor data from a sensor arrangement coupled to the conduit. Other apparatus and methods are also described.

The invention discloses a method for detecting probiotics in fermented rotten vegetable feed based on the Internet of Things, and relates to the technical field of microbiological detection, and the method comprises the following steps: obtaining complete echo signal time sequence data, and carrying out high-frequency sampling on an echo signal time sequence by a sliding time window with a fixed length, and constructing a three-dimensional optical signal transient feature vector. According to the method, the transient feature vector of the three-dimensional optical signal is constructed, and a disturbance residual error and time sensitive weight mechanism is introduced, so that the abnormal disturbance of the optical signal is accurately recognized; by combining the optical interference index and the dynamic sampling window adjustment strategy, the refractive index mutation area is automatically avoided, the sensing misjudgment and data distortion are avoided, the detection stability and accuracy of the probiotic activity state in the fermentation environment are remarkably improved, and the intelligent monitoring capability of the feed quality is enhanced.

The invention relates to the technical field of textiles. The invention discloses a textile dyeing uniformity detection system, a detection method and a dyeing method. The device comprises a light source supply device which is arranged above a textile and is used for providing light sources with two wavelengths and generating monochromatic coherent light, a dielectric layer supply device for forming a uniform dielectric layer, a reflective light path device for splitting beams and guiding the beams to form an interference area, and an image acquisition device for acquiring interference fringe images, the angle adjusting device is used for adjusting irradiation and acquisition angles; and the image processing device is used for analyzing signals and identifying non-uniform dyeing areas and flaws. A high-precision detection system is constructed, the light source and the dielectric layer cooperate to realize micron-sized defect recognition, the visibility of interference fringes is improved to 0.8 or above, and the dynamic tension frame guarantees the precision. The reflective light path and angle adjusting device adapts to a complex environment, a detection method and a dyeing method are cooperated, and through pretreatment, quantitative analysis and multi-dimensional verification, the misjudgment rate is greatly reduced, and the detection speed adapts to production.

The invention discloses a waveguide array gas sensing system for high-sensitivity multi-gas detection. The waveguide array gas sensing system comprises a waveguide substrate, and a waveguide Bragg grating, a phase shift Bragg grating, a micro-ring resonator, a Mach-Zehnder interferometer, a waveguide array, an electric field regulation and control module and a signal processing unit which are arranged on the waveguide substrate. Through the waveguide array structure, topological optical protection adsorption and other technologies, the sensitivity and selectivity of methane, carbon dioxide and other gases are effectively improved, and accurate detection can be achieved in a complex environment; according to the invention, a topological optical principle is adopted, signal loss caused by environmental noise or surface defects is reduced, and the stability of the sensor is improved; according to the invention, automatic calibration and temperature and humidity compensation of the system are realized, and autonomy and operation convenience of the system are enhanced; the system has high environment adaptability and can stably work under different temperature and humidity conditions.

The invention relates to the technical field of flame retardant particle quality monitoring, in particular to a flame retardant particle quality online monitoring and sorting system based on AI visual identification. The system comprises a polarized light field imaging module, a refractive index gradient field construction module, a dynamic sorting decision module and an online self-optimization module. A Stokes parameter image and a multispectral transmittance distribution diagram of the particles are obtained through a polarized light field imaging module; the refractive index gradient field construction module is used for converting optical data into a refractive index gradient field and accurately identifying internal defects; the dynamic sorting decision module generates a sorting instruction according to the defect characteristics; and the online self-optimization module realizes continuous optimization of the system. The method solves the problem that a traditional method is difficult to accurately identify transparent defects, can effectively identify micron-sized pure bubbles and transparent cracks, realizes defect classification and cause analysis, can meet the real-time quality monitoring requirement of a flame retardant production line, and provides an intelligent solution for product quality control.

The invention discloses a device and a method for measuring the radius and the refractive index of a suspended single droplet, and belongs to the field of aerosol droplet spectral analysis. The technical problems that an existing optical tweezers stimulated Raman method is weak in signal, and the radius and the refractive index of PM2.5-scale liquid drops cannot be measured are solved. The device comprises a single-droplet suspension sample cell, a micro-droplet pumping system, an atmosphere control system, an optical trap system, an optical signal detection system, an optical imaging system and an LED light beam shaping system, wherein the LED light beam shaping system is communicated with the light trap system, and the light trap system is respectively communicated with the single-droplet suspension sample pool, the optical signal detection system and the optical imaging system; and the single-droplet suspension sample pool is respectively communicated with the microdroplet pumping system and the atmosphere control system. According to the invention, the suspended single liquid drop is lightened by using the LED, the radius and refractive index data of the liquid drop are accurately obtained according to the stimulated elastic scattering signal, and a key parameterization measurement scheme is provided for revealing the aerosol generation mechanism in the atmospheric fine particulate matter pollution prevention and control process.

The invention discloses a refractive index structure constant adaptive forecasting method and system based on atmospheric turbulence multi-scale characteristics. The method comprises the following steps: 1, measuring and preprocessing an atmospheric refractive index structure constant; 2, constructing a spatial-temporal feature extraction module of an atmospheric turbulence refractive index structure constant; 3, learning a dependency relationship representing a long-time sequence by using a gating mechanism, and constructing a long-time correlation feature extraction module; 4, capturing dependency relationships of different times through convolution kernels of different time steps, and constructing a short-time correlation feature extraction module; 5, designing a self-adaptive turbulence multi-scale feature fusion module which comprises three groups of bidirectional cross attention modules to realize alignment and fusion among different turbulence feature extraction modules; and introducing a gating mechanism, performing dynamic control and feature selection on output information streams of the three groups of bidirectional cross attention modules, and simulating the change of importance of different scale features of turbulence along with conditions to obtain a predicted value.

The invention relates to the technical field of optical nondestructive testing equipment for the sealing performance of a blueberry bottle opening, in particular to an optical nondestructive testing device and method for the sealing performance of the blueberry bottle opening. According to the technical scheme, the optical nondestructive testing device for the sealing performance of the blueberry bottle opening comprises an optical testing device, mounting grooves, a lead screw, a mounting support, a mounting ring, a Fresnel lens, a micrometer caliper, a double-color laser line light source and a rotating motor, and the mounting grooves are formed in the two sides of the interior of the optical testing device; compared with a traditional optical nondestructive testing device for the sealing performance of the blueberry bottle opening, a single light source or a simple lens group is mostly adopted, a 360-degree annular area of the bottle opening is difficult to cover, illumination on the edge of the bottle opening or a complex curved surface area is insufficient, and tiny defects are prone to being omitted; according to the optical nondestructive testing device for the sealing performance of the blueberry bottle opening, the double-color laser line light source is matched with the Fresnel lens array, multispectral reflection data are synchronously collected, the surface micro-mark contrast is enhanced by utilizing wavelength difference, and the monochromatic light detection sensitivity is effectively improved.

The invention discloses a liquid medicine foreign matter detection method and system based on machine vision, and the method comprises the steps: obtaining multiband spectral data of a liquid medicine sample, and carrying out the normalization processing to generate a liquid medicine background standard spectral feature template; comparing the refractive index spectral characteristics of the template and the foreign matter-containing liquid medicine, and recording the surface roughness scattering mode and polarized light reflection angle change data of a foreign matter area; calculating a spectrum peak displacement quantized value according to the polarized light data, and extracting foreign matter edge spectrum gradient information in combination with a threshold value; calculating a transparency spectral attenuation coefficient based on the edge gradient information, and obtaining spectral contrast enhancement factors of different foreign matters in combination with the spectral response characteristic data; and if the enhancement factor does not reach the standard, adjusting the spectrum correction parameter and recalculating, fusing the scattering mode and the multi-angle incident spectrum response result to carry out consistency verification, and obtaining a final identification result containing the foreign matter material type and the danger level. The method can improve the drug detection accuracy and guarantee the drug quality safety.

The invention relates to the technical field of optics, in particular to a gas concentration regulation and control interference imaging system applied to shape righting of a nozzle handle, a shape righting tool and a nozzle are prepared, the shape righting tool is provided with a downward pressing mechanism, the downward pressing mechanism is provided with a downward pressing telescopic column for correcting the nozzle handle, and a displacement measurement interferometer system is assembled on the shape righting tool; the displacement measurement interferometer system is provided with a reflecting movable mirror and a beam splitter, and the reflecting movable mirror is mounted on the pressing telescopic column; the displacement measurement interferometer system further comprises an interference light path stroke difference fine tuning system. The interference light path stroke difference fine adjustment system comprises a glass container for containing sulfur hexafluoride, the end faces of the two ends of the glass container are flat and transparent, the glass container is arranged on a light path between the beam splitter and the reflective moving mirror, and the end faces of the two ends of the glass container are perpendicular to laser on the light path; the glass container is provided with an air supply port; the air supply port is connected to an air pump, and the air pump is connected with a sulfur hexafluoride air source. And the shape correcting position of the nozzle handle is accurately controlled.

The invention discloses a transparent material detection method, a transparent material detection system and a transparent material correction method. The detection method comprises the following steps: matching a corresponding relationship between the number of wave crests in a spectrogram at each position on a scanning line and the number of wave crests corresponding to each defect type; identifying defect types with the same number of wave crests in the defect types; according to the identification method, the defect types with the same crest number are distinguished by judging whether the variable quantity of the measured height data corresponding to the second peak wavelength in the spectrogram at the adjacent position on the scanning line is within the allowable distance error range or not. According to the invention, the defect type at each position can be accurately identified, and the measured height data corresponding to each peak wavelength in the spectrogram at the position of the defect type can be compensated according to the defect type, so that the real measured height data of the surface and the interior of the transparent material can be obtained; the accuracy of surface and internal data detection of the transparent material is improved, and the quality of the transparent material can be accurately identified.

The wafer detection system comprises a first PL channel, a second PL channel, a BF channel and a DF channel which are used for scanning a wafer to be detected at the same time, and the first PL channel and the second PL channel adopt light sources with the same wavelength for illumination and imaging. The BF channel and the DF channel adopt light sources with wavelengths different from those of the first PL channel and the second PL channel for illumination and imaging, a dichroscope assembly is used for integrating light paths, a differential interference imaging mode is adopted for imaging, PL is photoluminescence, BF is a bright field, and DF is a dark field. According to the invention, the BF channel, the DF channel and the PL channel are fused, two PL channels are used, four detection channels are provided, the detection efficiency is high, multiple channels are fused, and the wafer only needs to be scanned once to cope with different types of defects at the same time.

The invention relates to an optical probe, in particular to a plasma optical sensing probe for online trace detection of biological threat factors. The sensing probe is composed of a microstructure optical fiber and a nano gold wire; the optical fiber is provided with two micro grooves which are symmetrically distributed, and the gold nanowires are located at the bottoms of the grooves; four inner-layer large air holes and two outer-layer small air holes are formed in the cladding of the optical fiber, and every two of the four inner-layer large air holes form a group and are symmetrically distributed relative to the groove; and the two outer-layer small air holes are symmetrically distributed relative to the micro groove. The radius of the optical fiber is 16 microns; the depth of the micro groove is 8 microns; the radius of the nano gold wire is 500 nm; the radius of each inner-layer large air hole is 4 microns, and among the four inner-layer large air holes, the horizontal circle center distance of the inner-layer large air holes is 13 microns, and the vertical circle center distance of the inner-layer large air holes is 11 microns; and the radius of the small air holes in the outer layer is 1.5 microns. According to the probe, efficient and accurate biomolecule detection is realized, and reliable technical support is provided for early diagnosis and timely treatment.

A point of care analyte detection and quantification system for healthcare application is provided. Related methods are also provided.

A method for analysing a sample comprising a layer having a first interface and a second interface, the method comprising: Irradiating the sample with a pulse of terahertz radiation, said pulse comprising a plurality of frequencies in the range from 0.01 THz to 10 THz; Detecting radiation reflected from the sample to produce a sample waveform; Obtaining a first reflection waveform from the sample waveform, the first reflection waveform corresponding to the reflection from the first interface; Obtaining a second reflection waveform from the sample waveform, the second reflection waveform corresponding to the reflection from the second interface; Comparing the first reflection waveform with the second reflection wave-form to produce an estimate of a thickness and a complex refractive index of the layer; Producing a synthesised signal using the estimate of the thickness and complex refractive index; Varying at least one of the thickness and complex refractive index to reduce an error between the sample waveform and the synthesised signal; and Outputting the thickness of the layer.

The invention discloses a non-contact local curvature measurement method and system based on a computational metasurface, and the method comprises the steps: S1, phase modulation: carrying out the phase modulation of an incident light field carrying the information of a to-be-measured object through an optical computational metasurface, so as to generate transverse displacement light field distribution related to the contour of the to-be-measured object; s2, signal extraction: separating and extracting a first-order differential signal carrying the edge information of the object to be measured by using a biorthogonal polarization filtering system; s3, reconstructing a three-dimensional shape: reconstructing the three-dimensional shape of the object to be measured according to the first-order differential signal; and S4, curvature calculation: calculating the curvature radius of any local part of the object to be measured according to the three-dimensional shape. The optical calculation metasurface is combined with a biorthogonal polarization filtering system, differential operation of a light field is achieved, the edge contour of an intensity object and the three-dimensional shape of a phase object can be obtained without difference, and therefore non-contact and high-precision measurement of the curvature of the object is achieved, the problem of physical damage of traditional contact type measurement is solved, and the measurement accuracy is improved. And the detection efficiency and adaptability are improved.

The invention relates to the field of optical nondestructive testing, and discloses a visualization method for detecting mango quality based on hyperspectrum, which comprises the following steps of: firstly, selecting mango samples, and simulating different mango ripening stages by dividing the mango samples into a plurality of groups of samples; acquiring a high-dimensional spectral image by using a hyperspectral imaging system, and measuring the hardness, the soluble solid content and the titratable acid content; correcting and extracting the high-dimensional spectral image to obtain and optimize the average reflection spectrum of the sample, and establishing a mango maturity classification model and a quality regression prediction model; performing characteristic wavelength contribution degree analysis and screening, and optimizing a quality regression prediction model by adopting a key wave band; the method is applied to each pixel point of a high-dimensional spectral image, a two-dimensional distribution diagram is generated, and mango quality visualization is achieved. The method solves the problems that in the prior art, rapid and lossless judgment of the mango ripening stage cannot be achieved, accurate prediction and visual distribution of key internal quality indexes cannot be achieved, and intelligent grading and quality control of picked fruits are not ideal.

The invention discloses a single-groove type photonic crystal fiber sensor based on surface plasma resonance. The single-groove type photonic crystal fiber sensor structurally comprises a fiber core and a perfect matching layer wrapping the fiber core, and circular air holes which are arranged periodically and are different in size are formed in the fiber core; the fiber core is provided with a groove channel, and the lower surface of the groove channel is coated with a gold film and a titanium dioxide film. A loss spectrum is obtained through calculation, and then the wavelength of the surface plasma formant and the sensitivity of the sensor are calculated. The refractive indexes of the to-be-detected analysis liquid sample are different, and the wavelengths of the resonance peaks of the transmission loss spectrum are also different. The refractive index range of a to-be-detected analysis liquid sample of the sensor is 1.39-1.4, the sensitivity of 11000 nm / RIU and the resolution of 9.09 * 10 <-6 > RIU can be obtained, the sensitivity and the resolution of the sensor are superior to those of an existing sensor, and the sensor is simple in structure and easy to operate and has great application prospects in the fields of biosensing, environmental monitoring and the like.

The invention relates to the technical field of optical processing, and discloses an imaging depth adjustable laser optical processing system, which comprises a laser emission unit, an optical conduction unit, a spectral domain optical coherence tomography imaging unit, a laser galvanometer scanning unit, an indication light imaging unit, an image processing display unit and a control unit, according to the spectral domain optical coherence tomography imaging system, time scanning of high output wavelength is realized by utilizing a wavelength scanning mode that the scanning telescopic rotating module drives the spectral domain optical coherence tomography imaging system, and position information or image information of a sample from the surface to the interior is provided in real time in combination with an image processing technology; the three-dimensional galvanometer scanning unit scans the position of a sample in real time and records the position and orientation information of a scanning point at the same time, real-time image information and different depths, widths and axial positions of the sample are scanned at the same time, the focusing depth and wavelength of an imaging laser beam and the focusing position and energy of the scanning laser beam are fed back and adjusted, and the laser beam is positioned to the sample for machining.

According to one embodiment, an optical test apparatus includes a first aperture, a second aperture, an image sensor, and a first lens. The first aperture includes a first aperture plane provided with a first wavelength selecting region. The second aperture includes a second aperture plane provided with a second wavelength selecting region different from the first wavelength selecting region. The image sensor is configured to image a light beam passing through the first aperture plane and the second aperture plane and reaching an imaging plane. The first lens is configured to make a light beam passing through the first aperture plane and the second aperture plane be incident on the imaging plane.

The invention provides a non-contact polarized light acoustic detection device and method for identifying the quality of traditional Chinese medicinal materials. According to the device, a traditional Chinese medicinal material sample is excited by using a polarization-modulated pulse excitation light beam, and refractive index change caused by photoacoustic initial pressure generated when the sample absorbs excitation light pulse energy is measured by using a continuous wave detection light beam confocal with the excitation light beam. By detecting the reflection component of the detection light beam, the device can obtain anisotropic optical absorption information of the traditional Chinese medicinal materials. The traditional Chinese medicinal material polarized light acoustic image and the anisotropic characteristic information thereof are obtained by using the non-contact polarized light acoustic detection device and method, the quality of the traditional Chinese medicinal material can be identified, the traditional Chinese medicinal material sample is not damaged in the whole process, and non-contact in-situ detection is realized.

Provided are an optical element capable of more easily detecting a change in refractive index of an object to be measured without sweeping a wavelength of incidence light, and an optical sensor using the optical element. An optical element includes a liquid crystal layer that is formed of a composition including a liquid crystal compound, in which the liquid crystal layer has a liquid crystal alignment pattern in which an orientation of an optical axis derived from the liquid crystal compound changes while continuously rotating toward at least one direction of in-plane directions, in a case where a length over which the orientation of the optical axis derived from the liquid crystal compound rotates by 180° in a plane is set as a single period, a length of the single period in the liquid crystal alignment pattern gradually changes in the one direction, and the liquid crystal layer has a resonance structure.

The invention discloses a transparent object surface defect detection method based on transmission structured light. The method sequentially comprises the following steps: establishing a measurement system; generating a stripe image; a vertical deformation fringe pattern and a horizontal deformation fringe pattern are collected and demodulated, and a vertical unwrapping phase and a horizontal unwrapping phase of the transparent glass plate to be detected are obtained respectively; according to the vertical unwrapping phase and the horizontal unwrapping phase, the surface scratch area and the flatness error of the transparent glass plate to be detected are obtained; judging whether the transparent glass plate to be detected meets the requirements or not according to the two indexes of the surface scratch area and the flatness error: when the two indexes meet the respective requirements, judging that the transparent glass plate to be detected is qualified and meets the requirements. Under the condition that calibration is not needed, the surface shape error is detected through the transmission-type phase deflection measurement system, the detection rate is increased, the system is simplified, and comprehensive detection of the surface shape error and the surface defect is achieved.