57results about How to "Rapid assessment" patented technology

This invention relates to a method for predicting sandbar response under the combined effects of water level and waves, considering hysteresis, during storms. The method includes: starting with initial sandbar morphology data of a target shoreline during a specific storm event, using a sandbar evolution model considering hysteresis to predict sandbar response, and outputting a predicted curve of sandbar position change throughout the storm process. The sandbar evolution model calculates storm dynamic forcing based on historical storm hydrodynamic data, establishes a model relating relaxation timescales to storm dynamic forcing, obtains a relaxation timescale characterizing the hysteresis characteristics of the sandbar response, and establishes a model relating the sandbar equilibrium position to hydrodynamic forcing based on historical hydrodynamic forcing data and sandbar position changes, obtaining... t The sandbar equilibrium position at any given moment. This invention can more accurately simulate sandbar behavior throughout the entire storm process, especially during the attenuation phase, significantly improving the practicality and reliability of sandbar response prediction throughout the entire storm process (including the aftereffect period).

The invention discloses a riverbed type plant dam section anti-sliding stability safety coefficient prediction method, which comprises the following steps of: acquiring actually-measured deformation data of a plurality of monitoring points of a riverbed type plant dam section in a time interval, and eliminating an aging component in the actually-measured deformation data as a monitoring value; substituting the time-varying parameter inversion target function to obtain the time-varying parameter of the dam section rock mass in the time interval through inversion; in the time interval, finite elements are adopted to calculate the anti-sliding stability safety coefficients of the dam section under multiple groups of different upstream water levels, downstream water levels and uplift pressure reduction coefficients; repeating all the previous steps in a plurality of continuous time intervals, and then training the SVR model by adopting the upstream water level, the downstream water level, the uplift pressure reduction coefficient, the time-varying parameter and the anti-sliding stability safety coefficient of all groups to obtain a prediction model; and obtaining the upstream water level, the downstream water level, the uplift pressure reduction coefficient and the time-varying parameter of the river bed type plant dam section at the monitoring moment, and inputting the prediction model to obtain the anti-sliding stability safety coefficient at the monitoring moment.

The present application relates to a kind of forest leaf instance segmentation method and system based on deep learning, method includes: obtaining vegetation image, vegetation image is input into leaf instance segmentation model, obtains leaf instance segmentation prediction result;Leaf instance segmentation model is trained using training set;Training set includes: vegetation original image;Feature extraction and enhancement are carried out using backbone module in leaf instance segmentation model, and adaptive spatial fusion mechanism in progressive feature pyramid network is integrated to dynamically adjust feature weight, generate dynamic fusion feature;Through the dynamic asymmetric spatial perception mechanism built-in in dynamic anomaly regression head module, the corresponding multi-source deformation feature layer of dynamic fusion feature is obtained, and the feature fusion strategy of top-down cascaded decoding module is used to optimize multi-scale feature, obtain multi-source fusion feature layer, further using multi-source fusion feature layer, generate leaf instance segmentation prediction result.The present application solves the problems of data scarcity, poor adaptability and low efficiency.

The invention discloses a pressure-bearing equipment welding residual stress distribution prediction method based on structural constraint, and belongs to the technical field of welding residual stress distribution prediction. The method comprises the following steps: S1, acquiring welding residual stress distribution data of a flat plate workpiece of the pressure-bearing equipment under different parameters; s2, longitudinal residual stress distribution data in the vertical welding line direction and the thickness direction are extracted, and the influence rule of all main parameters on longitudinal residual stress distribution is qualitatively analyzed; s3, establishing a residual stress distribution prediction model suitable for the flat plate workpiece of the pressure-bearing equipment in the vertical welding line direction and the thickness direction; s4, carrying out bending constraint correction on the residual stress distribution prediction model of the flat plate workpiece of the pressure-bearing equipment along the vertical welding line direction and the thickness direction; and S5, residual stress prediction is carried out on the actual pressure-bearing equipment flat plate workpiece or cylinder workpiece by using the corrected prediction model. According to the method, high-precision prediction can be carried out on the welding residual stress distribution of the thick-wall pressure-bearing equipment.

This invention discloses an elevator noise reduction assessment method and system. The elevator noise reduction assessment method includes: collecting the first noise sound pressure level at the center of an equivalent elevator model under white noise and the second noise sound pressure level at the center of the elevator under operating noise; calculating a noise equivalence coefficient by combining the first and second noise sound pressure levels; calculating a noise reduction weighting factor for the elevator wall based on the noise equivalence coefficient and the placement of noise reduction materials on the elevator equivalent model wall, and assessing the relationship between the placement of the noise reduction materials and the noise reduction effect; and assessing the relationship between the hole area and the noise reduction effect based on the noise equivalence coefficient and the placement of holes of different sizes on the elevator equivalent model wall. This invention can quickly assess the noise reduction effect of noise reduction materials and can also optimize the layout of noise reduction materials on the elevator wall based on the noise reduction weighting factor, thereby improving the utilization rate of noise reduction materials.

The embodiment of the invention provides a flow field optimization method and optimization device of a multi-branch flow channel system and a storage medium, and belongs to the technical field of flow channel flow field optimization. Comprising the following steps: establishing a simulation model of a multi-branch flow channel system; performing flow field uniformity analysis on the simulation model to determine the distribution flow of each branch flow channel of the multi-branch flow channel system; according to the number of branches of the multi-branch flow channel system and the distribution flow and the sectional area of each branch flow channel, the target water inlet area of each branch flow channel is determined; and optimizing and adjusting the distribution flow of each branch flow channel according to the target water inlet area. According to the method, the design process is converted into a systematized and data-driven scientific process, the flow channel design can be quickly and accurately evaluated and optimized by combining model simulation, data processing and an optimization algorithm, homogenization of a cooling liquid flow field in a system is achieved, and then the consistency of a temperature field is guaranteed.

The present application belongs to the field of structural dynamic response analysis and monitoring of civil and hydraulic engineering, and provides a variable cross-section liquid storage tank hydrodynamic pressure calculation method based on modal synthesis method. From the perspective of seismic analysis of building structures, only when the mass does not change with the change of excitation acceleration, the distribution of hydrodynamic pressure can present a stable decoupling form. The direct method of decoupling is to extract dynamic characteristics through modal analysis, and to obtain the decoupling form of mass by using generalized single degree of freedom system, and to simplify the decoupling form of mass into a fast evaluation method of hydrodynamic pressure peak value based on the characteristics of analysis domain. The structural modal can reflect the sloshing characteristics of the liquid storage tank, which has practical engineering significance for quickly evaluating the vulnerable areas of the structure. The method of the present application starts from the physical meaning of the finite element expression formula, obtains the relationship between equivalent mass and equivalent area moment, obtains the equivalent hydrodynamic pressure, is suitable for nonlinear horizontal cross-section liquid storage structure, and has important practical value.

The application relates to an environment sensing and data back transmission device, which comprises a data acquisition module for acquiring accurate images and point cloud data of a disaster area of infrastructure; a multi-path transmission module for transmitting the data collected at a low altitude back to a ground server; a post-disaster evaluation and reconstruction module for generating disaster evaluation, disaster risk heat map and three-dimensional model of a disaster area, and planning emergency treatment measures and material allocation. The three-dimensional reconstruction technology and multi-link transmission technology are used to realize that a UAV quickly and accurately acquires disaster area data and generates a three-dimensional model, and promote the intellectualization of disaster detection.

The application relates to a construction method of a neural probe and array culture chip and a neural electrophysiological toxicity evaluation method and device, the construction method comprising the following steps: acquiring a base material, a probe material and a chip circuit layout; and processing the base material, the probe material and the chip circuit layout by adopting a traditional micro-electro-mechanical system manufacturing stripping process and a micro-pattern stamping technology to construct a chip base with an array neural probe; and constructing a multi-channel neural cell culture chamber corresponding to the array neural probe on the chip base to obtain a multi-channel chip with the neural probe and array culture. The construction method integrates an ultrathin neural probe array and an array culture chamber layer to form a complete multi-channel chip, the multi-channel chip can realize high-throughput neural electrophysiological toxicity detection, full-process automation and high-throughput of neural cell culture to toxicity detection can be realized on the multi-channel chip, and then test cost, time and complexity can be significantly reduced.

The invention belongs to the related technical field of ink-jet printing, and particularly relates to a vacuum drying cavity flow field regulation and control method for ink-jet printing, which comprises the following steps of: uniformly configuring a plurality of independently controlled auxiliary air exhaust pipelines around a vacuum drying cavity; collecting cavity flow field data in real time, calculating a current flow field uniformity coefficient of the cavity, and if the current flow field uniformity coefficient does not meet a preset requirement, adopting a pre-trained proxy prediction model to optimize a key parameter combination value according to a multi-target rolling optimization target function; the key parameters are various parameters which influence the film forming uniformity and are determined in advance through feature importance analysis, and comprise the flow of each auxiliary air exhaust pipeline and related parameters of component layout in the cavity; the multi-objective rolling optimization objective function is the sum of the minimum uniformity lifting amplitude, the parameter adjusting amplitude and the parameter adjusting frequency. The problem that in an existing vacuum drying system, due to uneven flow field distribution, the film drying consistency is poor can be solved.

This invention belongs to the field of seismic design technology for railway bridges, and relates to a seismic analysis method for railway bridges using a variable friction coefficient friction pendulum bearing for seismic isolation and vibration reduction. This method is used to determine the design displacement D of the variable friction coefficient friction pendulum bearing; specifically, it includes the following steps: establishing an equivalent period T based on the design parameters of the variable friction coefficient friction pendulum bearing. eff The relationship between the coefficient of friction and the variable friction coefficient; based on the bridge design conditions, the relationship between the equivalent period and the acceleration response spectrum value is established, and S(T) is obtained. eff Determine the damping adjustment coefficient η; equivalent damping ratio ξ; establish support displacement and equivalent period T. eff S(T) eff By considering the relationship between η and η, and combining it with Newton's iteration process, the final support displacement D is determined. This invention saves time by using analytical expressions for calculation, avoiding tedious modeling, long computation times, and convergence issues compared to the finite element model nonlinear time history analysis method. This allows for rapid evaluation of the seismic performance of different support parameters and structural configurations during the scheme design, parameter optimization, and preliminary design stages.

The invention provides an X-ray free electron laser pulse transmission simulation method. The method comprises the steps that a three-dimensional light field of an X-ray free electron laser pulse light field generated through simulation is acquired; according to the type of the X-ray free electron laser pulse, different dimension reduction methods are selected, and a probability density distribution function of the X-ray free electron laser pulse in the six-dimensional phase space is determined; and selecting the random scatter points based on the probability density distribution function corresponding to the X-ray free electron laser pulse, and determining a target light source model of the X-ray free electron laser pulse light field in the six-dimensional phase space so as to evaluate the free electron laser pulse in the beam line. Six-dimensional phase space distribution is reduced to low dimension, six-dimensional phase space scatter points are obtained, transmission simulation of free electron laser pulses in a beam line is further carried out, the calculation speed is higher compared with a wave optics method, and rapid evaluation of transmission of XFEL pulses in the beam line is achieved.

The present application relates to a kind of tunnel blasting parameterization hole arrangement design and numerical model automatic generation method, comprising the following steps: S1.tunnel section and hole arrangement region profile parameterization;S2.based on the profile point set data of tunnel section and hole arrangement region obtained in step S1 and the blast design parameter input by user, automatically calculate the coordinates of cut hole, auxiliary hole, peripheral hole and floor hole, generate visual blasthole arrangement scheme, and export the file including all blasthole information;S3.through script program driving finite element pre-processing software, automatically and batchedly execute modeling operation.The present application realizes from the parameterization design of hole arrangement scheme to the automatic, batched generation of numerical model, can realize the rapid generation of hole arrangement scheme and corresponding numerical model under the size of any tunnel section contour and blasthole arrangement parameter, provides powerful technical support and guarantee for the prediction of tunnel blasting effect and the adjustment and optimization of hole arrangement scheme.

The invention relates to the technical field of oil and gas exploitation, and provides a gas well blockage prediction method and device. The method comprises the following steps: acquiring gas well production historical data; establishing a training sample according to gas well production historical data; training a gas well production prediction model by using the training sample to predict and obtain gas well production prediction data; based on the dynamic flow process of the gas well gas, gas well blockage historical parameters corresponding to the gas well production historical data and gas well blockage prediction parameters corresponding to the gas well production prediction data are calculated respectively; whether the gas well is blocked or not is judged according to the change trend of the gas well blocking historical parameters and the gas well blocking prediction parameters; and if the gas well is blocked, calculating and comparing the maximum productivity of the wellhead when the gas well is not blocked and the maximum productivity of the wellhead when the gas well is blocked by utilizing a stratum inflow dynamic relation in the gas well according to production prediction data of the gas well, so as to determine the blocking degree of the gas well according to a comparison result. According to the embodiment of the invention, accurate and efficient prediction of gas well blockage can be realized.

The application relates to a tumor intraoperative evaluation method and system based on multi-wavelength photoacoustic mathematical statistics analysis, wherein the method comprises the following steps: irradiating a tumor tissue with a pulsed laser during operation, collecting photoacoustic signals at different wavelengths in time sequence according to a preset wavelength sequence, performing mathematical statistics spectrum analysis after pretreatment to obtain multi-wavelength statistical parameters reflecting the characteristics of the photoacoustic signals; performing parameter mapping on the multi-wavelength statistical parameters to obtain a parameter imaging graph reflecting the scattering characteristics and microstructure differences of the tissue, obtaining a parameter spectrum curve based on the parameter imaging graphs at different wavelengths, and extracting auxiliary features based on the parameter imaging graphs; performing visual analysis based on the parameter imaging graphs and the parameter spectrum curve, spatially positioning a lesion area, selecting a ROI and visually displaying the lesion area; and taking the multi-wavelength statistical parameters and the auxiliary features as inputs of a tumor benignity and malignancy evaluation model to output a tumor classification result. Compared with the prior art, the application has the advantages of being capable of realizing rapid and accurate intraoperative evaluation.

This application relates to a method, system, electronic device, and storage medium for early warning of acute mountain sickness. The method includes: collecting physiological data from a step test conducted on a subject at a target plain altitude; generating at least one physiological principal component based on the step test data; performing cluster analysis on the at least one physiological principal component to obtain risk classification clusters; obtaining the actual high-altitude Lake Louise score of the subject in each risk classification cluster and calculating the score interval proportion to determine the risk classification label; and providing an early warning of acute mountain sickness to the user based on the risk classification label. This solves the problems in related technologies, such as high dependence on specialized testing equipment and laboratories, time-consuming testing processes, inability to screen individuals before they enter high altitudes, difficulty in achieving non-invasive and simple screening, and inability to effectively determine the acute mountain sickness tolerance of new subjects, thus hindering personalized early warning and prevention.

The method is mainly applied to the technical field of power distribution network systems. The invention discloses a power distribution network charging load bearing capacity evaluation method and device, equipment and a medium, and the method comprises the steps: dividing a feasible region of the power distribution network charging load bearing capacity through constructing an inner approximation set and an outer approximation set; and selecting specific charging station configuration containing at least one node capacity in a power grid region to be investigated as a candidate scheme, constructing an optimization model, and judging the robust feasibility of the candidate scheme by taking the power grid operation constraint out-of-limit degree in the worst uncertainty scene as output. If the scheme is feasible, adding the scheme into an inner approximate set and expanding the boundary; and if not, generating a constraint condition for excluding one type of infeasible scheme, and shrinking an outer approximate set boundary. And finally determining a power grid capacity feasible region based on the two updated sets. According to the method, the bearing capacity of the power grid to the electric vehicle can be quickly and accurately evaluated under the high-dimensional uncertainty condition, and the calculation complexity is remarkably reduced.

The present application relates to the field of biological sample collection device, in particular to a biological sample collection information tracing device, comprising: a tube body for storing biological samples; a sealing tube cover detachably installed at the opening of the tube body; a trigger component arranged between the tube body and the sealing tube cover; a clock chip cooperating with the trigger component to determine the opening time of the sealing tube cover; a memory for storing the opening time detected by the trigger component; a near field communication module for transmitting the opening time stored in the memory to a reading device; a microcontroller for processing the state of the trigger component to determine whether the sealing tube cover is opened and transmitting the information of the opening time to the memory; a circuit board for connecting the trigger component, the clock chip, the memory, the near field communication module and the microcontroller. The present application realizes the digitization and objective tracing state of the biological sample as soon as it is collected from the outside.

A brittle evaluation method of weathered granite under different confining pressures, comprising: drilling fresh granite rock samples from underground mine, and making standard test pieces under natural environment for 7 years of weathering; respectively performing triaxial compression synchronous acoustic emission test of the standard test pieces under different confining pressures, obtaining stress-strain relationship diagram, acoustic emission energy-cumulative energy-stress-time relationship diagram of each standard test piece; defining brittle index of weathered granite by acoustic emission cumulative energy B 3. Quantitative evaluation of the brittleness of weathered granite under different confining pressures. The present application does not completely depend on the change of stress-strain behavior, directly obtains from the acoustic emission signal parameters, is convenient and fast, has simple calculation process, improves the certainty of the brittle evaluation result, and has good application prospect for studying the deformation and failure of such mine surrounding rock and stable support in mine operation.

This invention discloses a rapid assessment method for oscillation risk in high-proportion photovoltaic grid-connected systems. The method establishes a linearized small-signal model of the photovoltaic inverter; constructs a rotational transformation matrix and its inverse and derivative based on the phase angle of each photovoltaic terminal voltage; constructs a voltage impedance transformation matrix and a sensitivity matrix; loads the network node admittance matrix, divides and eliminates elements in the network node admittance matrix to obtain an equivalent admittance matrix containing only photovoltaic nodes; constructs a sensitivity matrix based on the initial sensitivity matrix and the equivalent admittance matrix; constructs a corrected AC network admittance matrix by combining the sensitivity matrix and the equivalent admittance matrix; and obtains the active axis equivalent admittance matrix after eliminating the dynamic influence of the photovoltaic system's reactive axis. The method calculates the minimum eigenvalue of the active axis equivalent admittance matrix, combines the minimum eigenvalue with the linearized small-signal model to obtain system eigenvalues, and calculates the oscillation risk index based on the real part of the system eigenvalues ​​for oscillation risk assessment. This method combines the dynamic components of the photovoltaic system with the equivalent admittance of the distribution network and directly obtains oscillation risk information by solving for the eigenvalues, achieving rapid assessment.

This invention relates to the field of resource and environmental protection technology, and in particular to a method for evaluating the resource and environmental carrying capacity of island cities based on ecosystem service functions. The comprehensive evaluation index of ecosystem services obtained through the assessment and calculation of ecosystem service functions is applied to the rapid assessment of resource and environmental carrying capacity, providing decision support for regional ecosystem protection and sustainable development.

The invention relates to a method and device for determining the material filling height of a pipeline laying cable, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: constructing an equivalent thermal circuit model of a pipeline laying cable; the pipeline laying cable is filled with a heat conduction material, and the equivalent thermal circuit model is provided with an equivalent thermal circuit model thermal resistor; performing thermal resistance parameter analysis on the equivalent thermal circuit model to obtain a plurality of thermal resistance parameters of the thermal resistance of the equivalent thermal circuit model; constructing a target function based on the equivalent thermal circuit model and the plurality of thermal resistance parameters; and solving the target function by taking the minimization of the total laying cost of the pipeline laying cable as the target, and determining the filling height of the heat conduction material required by the pipeline laying cable to reach the maximum current-carrying capacity under the condition that the working temperature is smaller than the working temperature threshold value and the minimum current-carrying capacity is met. By adopting the method, the optimal improvement scheme of the current-carrying capacity of the cable can be quickly evaluated under the condition of incomplete filling.

The utility model belongs to photovoltaic tracking system test related equipment technical field discloses a kind of photovoltaic tracking system ageing test device, including the test cabin for placing photovoltaic tracker, the inside of test cabin is provided with main controller, electrical cabinet and environmental control module, test cabin outside is provided with a control panel connected with main controller, environmental control module includes temperature control unit for simulating high-low temperature environment;It further includes the inclination detection element for detecting the inclination angle of photovoltaic module, and the inclination detection element is installed on photovoltaic module;The utility model integrates each module of photovoltaic tracker to carry out one-time rapid test, and the repeatability of ageing test is good, and the efficiency of ageing test is greatly improved.

This invention discloses a method, system, and medium for predicting and controlling the normalized microstructure of oriented electrical steel based on a multilayer perceptron deep learning network and cellular automata. It takes two-dimensional normalized process parameters as input and ODF slice images as output. A cellular automata model driven by physical mechanisms generates virtual labeled data of "(t,T)-ODF" in batches within a preset process design space, constructing a dataset. Then, a deep learning surrogate model is used to achieve an end-to-end nonlinear mapping from the two-dimensional normalized process parameters to the ODF slice images, thereby achieving rapid prediction and visualization of the normalized microstructure without repeatedly calling the cellular automata model. This invention solves the key challenge of balancing prediction speed, structural accuracy, and inversion design capabilities within an extremely short process window.

This invention belongs to the field of aquatic ecological damage assessment technology, specifically relating to a rapid assessment method for aquatic ecological damage based on the environmental DNA of indicator species. The method first establishes a clean indicator species library, then deploys sampling points along the damage source to the diffusion area, obtaining the eDNA copy number of each clean indicator species at the sampling points. Next, based on the eDNA copy number of clean indicator species, the eDNA copy number-biomass model, and the enrichment fold, the biomass of the clean indicator species is calculated. Subsequently, the ecological baseline of each clean indicator species is obtained, and the ecological damage index of the sampling points is calculated based on the biomass exceedance rate of all clean indicator species. Finally, based on the ecological damage index of each sampling point and its distance from the damage source, an ecological damage distance decay regression model is fitted to predict the ecological damage index downstream of the damage source in the assessed water area. This invention enables rapid assessment of the degree and extent of ecological damage.

The invention discloses a ship abnormal behavior identification method, computer equipment and a storage medium, and relates to the technical field of marine ship supervision, and the method comprises the steps: determining a candidate route containing a current track point of a target ship according to a global ship channel model; if the shortest vertical distance from the current track point to the candidate route is higher than a distance threshold value, and / or the included angle between the course of the current track point and the route direction of the candidate route is higher than an angle threshold value, determining that the current track point is an abnormal driving track point; and continuously acquiring a new current track point of the target ship and repeatedly executing the process until abnormal driving track points meeting a number threshold value are determined, determining a deviation route drawn by all the abnormal driving track points, identifying abnormal behaviors, and generating and issuing an abnormal behavior identification result of the target ship. According to the invention, the abnormal sailing ship can be analyzed more accurately, the identification efficiency and accuracy of the marine abnormal ship are improved, and a supervision department is helped to improve the overall efficiency of marine supervision.

The application discloses a kind of high-frequency frequency domain characteristics and time-domain waveform high-precision prediction method and system of electromagnetic equipment system, including steps: (1) cable, electromagnetic equipment winding is divided into cascaded multi-conductor minimum unit;(2) establish cable, electromagnetic equipment winding high-precision multi-conductor minimum circuit unit model;(3) finite element simulation calculation parasitic parameter, setting minimum circuit unit model parameter;(4) the transmission matrix calculation of minimum circuit unit, cable, electromagnetic equipment winding system;(5) according to the connection form of electromagnetic equipment winding end and high-frequency characteristic measurement, calculate high-frequency frequency domain characteristics;(6) the spectrum analysis of inverter output PWM voltage, predict high-frequency time-domain waveform.The application can quickly and accurately predict the high-frequency frequency domain and time-domain characteristics of electromagnetic equipment system at the design stage or online operation, which is of great significance for improving the reliability of electromagnetic equipment system driven by power electronic converter.

The invention discloses a frequency modulation equipment capability evaluation method and device based on an energy visual angle. The method comprises the following steps: acquiring equipment parameters, network parameters and preset fault information of a system, and initializing equivalent speed regulator model parameters by aggregating the equipment parameters; based on the equivalent speed regulator model parameters, the network parameters and preset fault information, establishing a vibration mechanical model of the power system; solving the vibration mechanical model according to a modal analysis method, and obtaining a common-mode component and an oscillation component of the frequency variation of the power system; determining the frequency variation of each unit in the power system according to the common-mode component and the oscillation component; according to the frequency variation and the equivalent speed regulator model parameters, calculating the total unit frequency modulation energy accumulated at the maximum frequency deviation moment of each unit; and calculating the frequency modulation capability contribution degree of each unit based on the total frequency modulation energy of each unit, and outputting a frequency modulation capability evaluation conclusion of each unit according to the frequency modulation capability contribution degree of each unit.

The application relates to the field of biological diagnosis, and discloses the use of kynurenine in the preparation of a diabetes cardiovascular complication diagnosis kit. The diabetes is type 2 diabetes; and the cardiovascular complication includes stable coronary heart disease and acute myocardial infarction. The application discloses for the first time that kynurenine can be used as a diagnosis marker for type 2 diabetes combined with cardiovascular complications such as stable coronary heart disease and acute myocardial infarction, fills the blank of early specific diagnosis indexes for diabetes cardiovascular complications, provides a brand-new technical scheme for a diabetes and complication prevention system, and has important clinical transformation significance and a wide market application prospect.

The invention relates to the technical field of material testing, in particular to a gradient osmotic pressure difference acceleration testing method in the mass transfer process of an anti-freezing material, and the method comprises the following steps: forming and maintaining osmotic pressure gradients capable of driving salt migration on two sides of a test piece; the high osmotic pressure end and the low osmotic pressure end are separated, and the solution concentration of the high osmotic pressure end is adjusted according to the salt migration condition of the test piece; introducing a mass transfer resistance change mechanism with responsiveness to external environment change into a contact interface of the test piece and the low osmotic pressure end; external disturbance enabling liquid in the test piece to migrate is applied to the test piece, and salt migration performance under the disturbance condition is obtained; monitoring the time change of the salt concentration in the solution at the high osmotic pressure end, identifying characteristic change points appearing in the migration process, and obtaining a mass transfer performance evaluation result. By means of the method, the problem that a traditional salt migration testing method cannot simulate dynamic changes in the actual environment is effectively solved, and accurate and rapid evaluation of the mass transfer performance of the anti-freezing material is achieved.