93 results about "Phase diagram" patented technology

The invention discloses a method and a device for correcting laser focusing aberration in a transparent material, and belongs to the technical field of laser processing. The method comprises the steps that a machining light path containing an object plane, an aspheric reflector and a 4F device is built in Zemax, the surface type of the aspheric reflector is optimized with the minimum focus aberration as the target, and a rise table is derived; an optical path difference and a laser phase are calculated through Matlab, and a phase diagram is generated; and an actual machining light path is built, and a phase diagram is loaded to achieve low-aberration machining. Simulation optimization and phase modulation are combined, aberration caused by refractive index difference is effectively counteracted, wavefront errors are reduced by 58%, the thickness of a machining damage layer is reduced by 70%, the method is suitable for various transparent materials, the machining precision and the material utilization rate are improved, and the method is suitable for high-precision laser machining scenes.

The invention relates to the technical field of converter analysis, in particular to a converter transient stability analysis method and system considering HPFR structure influence. The method comprises the steps that an HPFR structure is considered, and a transient response large disturbance dynamic model of a virtual synchronous generator under large disturbance is constructed; based on the constructed transient response large-disturbance dynamic model, analyzing the transient stability of the system by adopting an extended equal-area method to obtain a VSG dynamic response characteristic jointly influenced by a gain coefficient and a cut-off frequency in a speed regulation link; based on VSG dynamic response characteristics, a phase diagram analysis method is adopted to evaluate a gain coefficient and a cut-off frequency in a speed regulation link, and a value interval of the gain coefficient and the cut-off frequency in the speed regulation link is obtained; and optimizing a gain coefficient and a cut-off frequency in a speed regulation link of the virtual synchronous generator, so that a power angle value of the system is smaller than a power angle value of the system tending to be unstable under a fault condition. The method has the characteristics of high analysis precision, difficulty in conservative judgment result and the like.

The invention relates to the technical field of metal surface coating preparation, and discloses a cladding layer surface and deep defect detection method based on pulse laser, which comprises the following steps: clamping and fixing a workpiece; pulse laser excitation and bimodal signal synchronous excitation are carried out; synchronously acquiring and recording dual-channel signals; thermal wave signal processing and surface / near-surface flaw analysis; performing ultrasonic signal processing and deep defect analysis; and carrying out information fusion and three-dimensional flaw reconstruction. According to the invention, the pulse laser beam is utilized to excite the thermal wave and the ultrasonic wave at the same time, various flaws from the surface to the deep layer can be covered through one-time detection, the limitation of a single detection mode is solved, and meanwhile, the depth information of the flaws can be obtained by analyzing the phase diagram of the thermal wave signal; three-dimensional distribution of flaws can be reconstructed by combining ultrasonic time-of-flight (ToF) analysis and infrared sequence images, and accurate positioning and quantitative evaluation are realized.

The invention discloses a laser shearing speckle interference phase unwrapping method based on deep learning. According to the method, eight speckle patterns before and after deformation are used as input, multi-scale feature extraction is carried out through layer-by-layer convolution and down-sampling of an encoder, features are sent to an attention fusion module, response weights of channels and spatial positions are adaptively adjusted through channel attention and position attention, then the response weights are input into a decoder, and jump connection with an encoding end is combined, so that multi-scale feature fusion is realized. And step-by-step reconstruction of multi-scale features is realized, and a phase diagram is output. Performing comprehensive constraint on prediction and reference phases in the aspects of numerical deviation, structural consistency and gradient smoothness and updating network parameters by adopting composite loss formed by mean square error, mean absolute error, structural similarity, gradient loss and out-of-plane displacement calculation items; therefore, an unwrapping result which is globally continuous and has clear and stable local details is obtained, and a feasible way is provided for intelligent processing and automatic analysis of the laser shearing speckle interference image.

An information processing method to be executed by a computer is provided. The method includes acquiring energy information indicating a threshold of thermodynamic convex hull energy, generating a phase diagram containing one or more compounds of which the thermodynamic convex hull energy corresponds to the obtained threshold, and outputting the generated phase diagram.

Methods and systems are disclosed to assess clogging associated with a first well. The first well has a well screen or an open borehole in bedrock. A water sample is received from the first well during an ON state. Water is pumped from the first well during the ON state. A first oxidation reduction potential measurement and a first pH measurement are made on the water sample. First clogging specific information is determined for a first mineral or metal utilizing the first oxidation reduction potential measurement, the first pH measurement, and an Eh vs pH phase diagram for the first mineral or metal.

According to the thermodynamic calculation-based multi-element alloy suspension zone melting component distribution prediction method disclosed by the invention, based on thermodynamic phase diagram calculation and unbalanced solidification numerical model construction, a distribution rule of each alloy element in a solid phase and a liquid phase is determined according to real-time melting zone components; on the basis, quantitative prediction of component distribution of the multi-component alloy bar after smelting in the suspension zone is achieved through movement of the melting zone, and the problem that due to the fact that an existing model uses an approximately-simplified constant distribution coefficient, prediction deviation of solidification components of a multi-component alloy system is large is solved. The calculation method is simple and convenient, the test process of long time consumption and high cost of multi-time suspension zone smelting is avoided, the test workload is reduced, the process optimization process is accelerated, and the cost of repeated tests is reduced.

The application discloses a binary vapor-liquid equilibrium prediction method and device, and relates to the technical field of chemical engineering, in particular to a binary vapor-liquid equilibrium prediction method and device. The method comprises the following steps: decomposing a gas molecule to be predicted into a plurality of groups; calculating a proportion parameter of each group in the gas molecule to be predicted; calculating a binary interaction parameter according to the proportion parameter; establishing a binary phase diagram according to the binary interaction parameter; and predicting a vapor-liquid equilibrium state according to the binary phase diagram. According to the embodiment of the application, the groups are obtained by decomposing the gas molecule, and the binary interaction parameter is established according to the proportion parameter of the groups, so that the manpower, material resources and time consumed by a large number of experiments for establishing the binary interaction parameter are avoided, and the calculation amount of analyzing the vapor-liquid equilibrium is reduced. In addition, the vapor-liquid equilibrium can be determined more accurately through the binary interaction parameter, the prediction is carried out through analyzing the binary phase diagram, and the accuracy is improved.

The invention discloses a super-hydrophobic surface self-cleaning design method based on molecular dynamics simulation, relates to the technical field of super-hydrophobic surface self-cleaning and nanofluid, and discloses a process of impinging deposited liquid drops on a molecular level based on molecular dynamics (MD) simulation. By exploring the influence of various parameter groups, Weber number (We), droplet size ratio (0.5 < = delta < = 2) and wettability (theta0), the results of deposition, regular rebound, closed pore rebound, rupture rebound and the like are systematically mapped to a series of phase diagrams, so that the process of impacting deposited droplets by droplets wrapped with nano-particles is simulated; and parameters such as the droplet size ratio, the Weber number and the surface wettability are optimized by analyzing the dynamic behavior and the energy conversion mechanism of droplet collision, so that the deposited droplets are efficiently and quickly removed. The method is suitable for the fields of micro-nano systems, anti-icing coatings, self-cleaning surfaces and the like, and has the advantages of being flexible in design, low in energy consumption and high in cleaning efficiency.

The application discloses a kind of based on three-dimensional phase diagram straight writing line topography regulation and control method, device, equipment and medium, it is related to printing technical field, comprising: by obtaining the rheological test result of different viscosity ink, printing process parameters and line form characterization data, apparent viscosity and boundary parameter are obtained by integration and power law fitting, construct with normalized height, normalized velocity, apparent viscosity as three-dimensional dimension process phase diagram, then by matching adaptive parameter or ink rheological property obtains target form.This introduces apparent viscosity as the third dimension, optimizes the limitation that two-dimensional phase diagram only adapts specific viscosity ink, quantifies the correlation of process parameters, rheological property and line form, only three core parameters can realize cross-ink system form accurate prediction and regulation, compatible with multiple viscosity inks, significantly reduce parameter optimization time consumption, avoid experience trial and error, accurately identify material process window, provide quantitative target for ink formula optimization, improve printing process adaptability.

The application discloses a kind of deep coal seam CO2 foam fracturing parameter optimization methods based on phase state regulation, first, build the wellbore flow heat absorption model fusing fluid residence time, mixed heat capacity and formation heat transfer characteristics, accurately calculate well fluid temperature and pressure, according to the calculation result, using Span-Wagner state equation, in combination with carbon dioxide phase diagram determines well fluid real phase state, and carry out indoor true triaxial equivalent simulation experiment and sand-carrying performance experiment with this as boundary condition, according to the result fed back by experiment, by adjusting ground injection displacement and foam quality and other parameters, actively control well fluid phase state, to realize the fine regulation and control of reservoir reconstruction effect.The application can effectively eliminate phase state prediction deviation, realize the active regulation and control of well fluid phase state, significantly improve the fracturing reconstruction volume of deep coalbed gas and single well production.

The application provides a gas channeling discrimination method and system based on production well output fluid phase state, comprising the following steps: field gas injection effect well analysis; sampling of gas injection effect well flow material; carrying out phase state analysis theoretical simulation and indoor analysis experiment on the obtained sample; comparing the phase state analysis theoretical simulation result and the indoor analysis experiment result to see whether the accuracy requirement is met, if not, repeating the phase state analysis theoretical simulation and the indoor analysis experiment until the accuracy requirement is met; forming a phase diagram envelope line group according to the phase state analysis theoretical simulation and the indoor analysis experiment result; adding a learning mechanism to fit and learn the actual sample parameter point, and establishing a gas channeling discrimination phase diagram graph for different gas oil ratios; and using the gas channeling discrimination phase diagram graph to discriminate gas channeling. Through the research on the phase state change law of the gas injection effect well output fluid, a phase diagram change graph for the whole gas injection process is formed to discriminate gas channeling, and support is provided for oilfield gas injection production regulation and control.

This invention discloses a method for printing two-dimensional structures of thermosetting materials with controllable surface roughness, comprising: controlling the rheological properties of the extrusion behavior of a selected thermosetting material; calculating and determining the relationship between the deposition morphology of the thermosetting material and printing parameters, and plotting an H-V phase diagram to determine the critical printing range for achieving uniform deposition; establishing a single-fiber deposition morphology evolution model and a multi-fiber fusion geometric evolution model to provide a correlation between the degree of fusion of adjacent deposited fibers and the surface micro-roughness, thereby obtaining a preset surface microstructure morphology; and, according to the required surface roughness, solidifying and locking the interface through thermal curing at different fusion stages to obtain a continuously adjustable and structurally stable two-dimensional film of thermosetting material. This invention can realize the printing of two-dimensional structures of any thermosetting material system on any spread substrate, and can continuously and programmably adjust the surface roughness.

The present application relates to a kind of two-color infrared temperature calibration methods for space station containerless material experiment, obtain the temperature variation of space station containerless material experiment.Heating temperature-time curve of sample measured under the preset certain two-color infrared slope, then mark the characteristic temperature on temperature-time curve, according to the single-color radiant intensity ratio invariable relationship, two-color infrared slope, characteristic temperature and the phase transition temperature obtained by phase diagram or thermal analysis experiment are substituted into the established equation relationship.The correction value of two-color infrared slope is solved, the correction value is substituted back into the equation relationship, and all the temperature data obtained are substituted into one by one, and the corresponding calibration temperature is solved.So far, the corrected two-color infrared slope and the calibrated temperature-time curve are obtained.The method proposed in the present application does not need to rely on thermocouple, and does not need to construct model in advance under the same environment and fit parameters, and the calibrated two-color infrared temperature can be controlled within a smaller error range at the characteristic temperature.

The present application belongs to the field of automatic welding technology, and particularly relates to a welding seam detection method based on surface structured light. The method comprises the following steps: (1) three-dimensional reconstruction of a workpiece: using a surface structured light three-dimensional scanner to perform three-dimensional scanning on the workpiece to obtain a coded image II, a phase diagram and three-dimensional data of the workpiece, and reading through a computer; (2) welding seam feature point identification: performing welding seam feature identification or manually annotating the welding seam on the coded image II to obtain a two-dimensional coordinate set of the welding seam on the coded image II. The present application simultaneously utilizes two-dimensional information and three-dimensional information of the surface structured light scanner, and realizes an efficient welding seam detection method of "two-dimensional feature identification and three-dimensional coordinate mapping" fusion through triangulation mapping, solves the problem of welding seam detection without obvious structural features, eliminates calibration errors between devices compared with a split type multi-sensor fusion method, improves welding seam detection accuracy, and simplifies the detection process.

The application provides a high water cut stage reservoir variable flow line regulation method based on a triangular phase diagram, which comprises the following steps: step 1, evaluating the dispersion degree of remaining oil; step 2, using the result of logarithmic processing of the instantaneous liquid passing multiple to represent the hydrodynamic strength; step 3, calculating the dominant potential abundance as a representation index of reservoir potential; and step 4, classifying the reservoir flow line parameters through a density peak value algorithm to establish a flow line adjustment technology partition. The high water cut stage reservoir variable flow line regulation method based on the triangular phase diagram is simple, quick and effective, easy to use and popularize, and can better guide the remaining oil tapping work in the high water cut development stage of the reservoir, and plays an important economic benefit in improving the recovery efficiency and improving the development effect of the old oilfield.

The invention provides a surveying and mapping method for a critical shear stress-temperature phase diagram of a tubular NiTi shape memory alloy, which comprises the following steps: heating a NiTi thin tube to a temperature above an austenite phase change end temperature Af to realize complete austenitizing, and keeping constant temperature under a plurality of temperature gradients to enable the NiTi thin tube to be in a hyperelastic state; under each constant temperature condition, carrying out a torsion test on the NiTi thin tube, and loading the NiTi thin tube to a predetermined unified maximum shear strain at each temperature to obtain a corresponding hyperelastic shear stress-shear strain curve at each temperature; reversely determining martensite start, martensite end, austenite start and austenite end critical shear stress at each temperature based on the geometrical characteristics and differential characteristics of each shear stress-shear strain curve; linear fitting is conducted on the four critical shear stresses corresponding to all the temperatures and the test temperature, the linear relation between the critical phase change shear stress of the NiTi thin tube and the environment temperature is constructed, and a critical shear stress-temperature phase diagram is generated.

The application provides a slag type dynamic coordination design method for recovering platinum group metals by a copper-nickel matte capture method, and comprises the following steps: performing phase diagram preliminary selection based on waste catalyst components to obtain a candidate slag system range; performing quantitative correction on microelement interference of the candidate slag system to eliminate the influence of microcomponents on phase equilibrium, and obtaining a homogeneous melt slag system; performing viscosity-interfacial tension coordination regulation on the homogeneous melt slag system based on matte drop sedimentation and coalescence behavior to determine an optimal slag system; and establishing a quantitative correction mechanism for microelement interference: through orthogonal interference experiment design and high-temperature quenching phase equilibrium determination, a quantitative relationship model of interference component concentration and phase equilibrium parameters (liquidus temperature offset, phase region boundary offset) is first quantitatively established, a technical problem of deviation between a theoretical phase diagram and an actual system is solved, it is ensured that the slag type can form a completely homogeneous melt under actual smelting conditions, and interference of un-melted solid phases on platinum group metal capture is avoided.

The invention discloses a three-dimensional phase diagram-based straight writing line morphology regulation and control method, device, equipment and medium, and relates to the technical field of printing, and the method comprises the steps: obtaining the rheological test results of inks with different viscosities, printing process parameters and line morphology representation data, and carrying out integration and power law fitting to obtain apparent viscosity and boundary parameters; a process phase diagram with normalization height, normalization speed and apparent viscosity as three dimensions is constructed, and a target form is obtained by matching adaptive parameters or ink rheological characteristics. In this way, apparent viscosity is introduced as a third dimension, the limitation that a two-dimensional phase diagram is only adapted to ink with specific viscosity is optimized, correlation among technological parameters, rheological properties and line forms is quantified, accurate prediction and regulation of the form of a cross-ink system can be achieved only through three core parameters, the method is compatible with ink with various viscosities, time consumed for parameter optimization is remarkably shortened, and the method is suitable for large-scale popularization and application. And experience trial and error are avoided, a material process window is accurately identified, a quantitative target is provided for ink formula optimization, and the adaptability of a printing process is improved.

This invention belongs to the field of thermodynamics and phase equilibrium measurement technology of metallurgical slag, and discloses a high-temperature phase equilibrium determination method for vacuum-sealed slag systems containing low-valent titanium oxides. The raw materials are roasted or dried; they are placed in a high-temperature resistant container according to a preset composition ratio, placed inside a quartz tube, and a deoxidizer is added; after vacuum preheating, argon gas washing, and adjustment of the vacuum level inside the tube, the slag is high-temperature sealed to form a thermodynamically closed system; the slag sample is held at the experimental temperature until it reaches thermodynamic equilibrium, and after the holding period, it is rapidly quenched to preserve the high-temperature phase structure; finally, the phase equilibrium is determined through characterization. This invention uses a closed system to effectively isolate external gas interference, and relies on the slag sample's own redox equilibrium to autonomously establish and maintain the ultra-low oxygen potential required for the stable existence of low-valent titanium oxides. This solves the technical problem that traditional atmosphere-controlled oxygen methods cannot meet the phase equilibrium determination of slag systems containing low-valent titanium oxides, and achieves accurate and reliable determination of the phase diagram of slag systems containing low-valent titanium oxides at steelmaking temperatures.

This invention proposes a spatiotemporally synchronized visualization measurement and analysis method, system, and device for flow-heat-phase. The method includes: acquiring a multimodal sensing dataset and performing spatial calibration and alignment; processing the aligned high-speed visual image to obtain a binary phase diagram, combining temporal information to identify and segment it, dividing and merging the liquid phase region, gas phase region, contact line region, and rewetting region to obtain a partitioned result map; identifying and fusing the infrared temperature image, binary phase diagram, and partitioned result map to output a spatiotemporally synchronized visualization measurement phase diagram for flow-heat-phase. By acquiring data to form a dataset and calibrating and aligning it, this invention achieves, for the first time, a precise spatiotemporally synchronized correlation of gas-liquid distribution, temperature field, and heat flow information; combining binary phase diagram generation, intelligent segmentation, and multimodal data fusion technology, it overcomes the limitations of traditional methods and can quantitatively analyze key physical processes under the interaction of multiple bubbles on complex surfaces; the final output phase diagram can reveal the coupling mechanism between the temperature field of the micro-region of the heated surface and the dynamic behavior of bubbles.

The application relates to encryption communication technology, and particularly discloses a construction, dynamic analysis and application method of a six-dimensional memristor hyperchaotic system. The method discovers that the new system has unique dynamic behaviors through a phase diagram, a bifurcation diagram and a Lyapunov exponent spectrum, generates symmetric coexistence cycles, chaos and hyperchaos double-wing attractors which depend on system parameters, shows extremely strong initial value sensitivity, has special symmetric extreme multistability and a memristor initial value enhancement behavior, generates symmetric four-wing attractors by adding a constant controller, shows more complexity and diversity, and finally, simulation is carried out through Multisim, the generated attractor is consistent with a phase diagram obtained through numerical simulation, and the feasibility of the new system is verified. The application has great advantages in encryption security and attack resistance.

The invention relates to a method and a system for automatically calculating Gibbs free energy of a material under different temperature and pressure conditions and constructing a phase diagram. The invention provides a method and a system for automatically calculating Gibbs free energy of a material and constructing a phase diagram. First principle calculation, phonon free energy calculation and hot electron free energy calculation are integrated into a unified automatic platform, so that the calculation efficiency is remarkably improved, and manual intervention is reduced. According to the system, firstly, static self-consistent energy is obtained through calculation according to a first principle, phonon free energy is calculated in combination with a quasi-harmonic approximation method, and hot electron free energy is obtained through electron state density analysis. On the basis, the compatibility among different calculation modules is ensured by adopting an automatic unit conversion and data preprocessing module. The system fits free energy-volume data through a three-order Birch-Murnaghan state equation, and supports adaptive encryption sampling so as to accurately capture phase change and free energy fluctuation under specific temperature and pressure conditions. Finally, the system automatically draws a temperature-pressure phase diagram, and an accurate basis is provided for predicting the thermodynamic stability of the material.

The application discloses a kind of phase correction method and system for structured light stripe profile projection, when boundary is identified, including the process of twice boundary identification, edge extraction is carried out by gray scale chart in initial boundary identification, in the second boundary identification, edge information extraction is carried out by phase calculation, boundary is identified by gray scale chart and phase diagram two directions, improve the accuracy of boundary identification, further the result of twice boundary identification is fused, so that the phase of stable area is not disturbed by jump pixel, ensure the accuracy of boundary division, based on the region after division, filtering processing is carried out to stable area, reduce the loss of feature information, provide reference information for the correction of unstable area, reduce error transmission, when the unstable area is compensated for error with stable area as reference, phase noise can be reduced, so as to reduce point cloud noise and improve precision.

The application relates to an artificial intelligence generation method and system of a ferroelectric material component-temperature phase diagram, and the method comprises the following steps: acquiring a chemical formula of a ferroelectric material with a doping variable, and setting the chemical formula into a string form; setting the change range and step length of the doping proportion and temperature; processing chemical elements and the doping proportion in the chemical formula of the ferroelectric material with the doping variable in the string form to obtain a chemical formula numerical vector list; forming a temperature list according to the set change range and step length of the temperature, and performing normalization processing to obtain a normalized temperature list; based on the chemical formula numerical vector list and the normalized temperature list, performing merging and inputting into a pre-trained crystal phase transition artificial intelligence model to output a crystal structure type; and based on the crystal structure type, a component-temperature phase diagram of the chemical formula of the ferroelectric material with the doping variable under different doping proportions and different temperature conditions is drawn. Compared with the prior art, the application has the advantages of automatically generating a component-temperature phase diagram.

The invention relates to the technical field of process control, in particular to a wear-resistant material powder metallurgy sintering process monitoring and optimizing method and system. The method comprises the following steps: acquiring multi-source time sequence data of temperature and pressure, and generating a multi-modal time sequence characteristic sequence by combining a material phase diagram labeling phase state code; inputting the sequence into a time sequence prediction network, weighting a feature channel based on a parameter sensitivity vector, and processing the sequence by adopting a stage gating causal attention mechanism to obtain a context vector containing a process stage relationship; performance indexes such as hardness and density are predicted in parallel based on the vector, and a performance fluctuation gradient matrix is calculated; and solving an optimal process parameter adjustment amount according to the matrix, and updating a parameter sensitivity vector for the next period. According to the scheme, a closed-loop regulation and control system is formed by fusing phase state information and identification stage association, the product quality consistency and the yield are improved, and the accuracy of model prediction and control is improved.

The present invention relates to an artificial intelligence-based method and system for generating a composition-temperature phase diagram of a ferroelectric material. The method comprises: acquiring a variable-doped ferroelectric material chemical formula, and setting same in the form of a character string; setting variation ranges and step sizes for both the doping ratio and the temperature; processing chemical elements and doping ratios in the variable-doped ferroelectric material chemical formula in the form of the character string to obtain a chemical formula numerical vector list; on the basis of the variation range and step size set for the temperature, forming a temperature list, and performing normalization processing to obtain a normalized temperature list; performing merging on the basis of the chemical formula numerical vector list and the normalized temperature list, and inputting data into a pre-trained crystalline phase transition artificial intelligence model to output a crystal structure type; and on the basis of the crystal structure type, drawing composition-temperature phase diagrams of the variable-doped ferroelectric material chemical formula under different doping ratios and different temperature conditions. Compared with the prior art, the present invention has the advantages such as automatically generating component-temperature phase diagrams.

This invention discloses a method and system for predicting mineral exploration target areas based on alteration mineral analysis, belonging to the field of mineral exploration target area prediction technology. A mineral exploration target area prediction system based on alteration mineral analysis includes: a data acquisition module, a cluster analysis module, an alteration assemblage discrimination module, a spatial modeling module, a spatiotemporal coupling module, and a mineralization assessment module. This invention introduces mineral thermodynamic phase diagram constraints to perform hierarchical clustering of alteration minerals and their associated assemblages, effectively analyzing the alteration information superimposed in multiple phases in complex tectonic zones, and establishing a mineral associated assemblage structure model with the ability to express genetic differences. By constructing genetic phase labels and forming a temporal decoupling model, it achieves systematic differentiation of alteration forms formed under mineralization processes of different ages, providing a temporal basis for the identification of multi-stage mineralization processes.

The invention discloses a quantum system and method for accurately controlling quantum state localization and phase change, and a reliable technical means of actively inducing extended state reentry in a local phase breaks through the traditional limitation of'local phase irreversibility ', and provides possibility for'wake-up' and reset of quantum information. It is proved that the capability of inducing reentry is insensitive to the mobility edge, so that the technology has high robustness and universality and is suitable for wider system conditions; non-Hermite is introduced as new regulation, quantitative and fine regulation of reentry critical conditions is realized, and a direct relation between localization and PT symmetry is established; a set of comprehensive diagnosis scheme is provided, a complex phase structure, especially a mixed phase which is difficult to accurately judge by a traditional method, can be clearly and correctly recognized, and the accuracy of experimental observation and phase diagram construction is ensured; and finally, a multifunctional, high-sensitivity and strong-robustness quantum state controller is realized.