64 results about "Stress evaluation" patented technology

The invention discloses a method for evaluating forced vibration stress of a blisk, which relates to the technical field of aero-engines and comprises the following steps: constructing a single-sector finite element model of the blisk and a multi-stage single-channel model of a gas compressor, and carrying out modal analysis containing prestress to obtain a Campbell graph of the blisk, a dangerous mode and a dangerous rotating speed; the method comprises the following steps: calculating steady flow fields of different back pressures at dangerous rotating speeds to obtain working points, respectively carrying out nonlinear harmonic method oscillation flow field calculation and nonlinear harmonic method static interference unsteady flow field calculation at the working points to respectively obtain aerodynamic damping and wake excitation, carrying out dot product on the wake excitation and a dangerous mode to obtain modal force, and carrying out nonlinear harmonic method oscillation flow field calculation and nonlinear harmonic method static interference unsteady flow field calculation on the modal force. And calculating forced vibration complex stress response by adopting a modal force method based on the aerodynamic damping and the modal force so as to obtain real stress response and maximum vibration stress thereof. The blisk forced vibration stress assessment method provided by the invention has important engineering significance for improving the design level and test guidance capability of the blisk.

The invention discloses a stress calculation method of a composite pull disc and a weaving method of the composite pull disc and an insulation rope section, belongs to the field of electric power tools, solves the problem that stress of the composite pull disc is difficult to assess, and adopts the technical scheme that the composite pull disc comprises a pull wire disc and a pull wire, one end of the pull wire is fixed on a tower, and the other end of the pull wire is fixed on the pull wire disc; the stay wire disc is installed on the ground and is used for the upward pulling force acting on the stay wire foundation, the calculated volume weight of soil, the included angle between the stay wire and the ground, the foundation upward pulling stability safety coefficient related to the soil resistance, the upward pulling stability safety coefficient related to the self-gravity of the foundation, the volume of anti-pulling soil in the depth, the upward pulling angle of the foundation and the self-gravity of the foundation. Wherein the upward pulling stability of the stay wire needs to be met. According to the invention, the stress evaluation of the composite pull disc is realized more conveniently.

The invention discloses an ultrasonic-sealed sterile packaging system and method for retort pouches, and relates to the technical field of ultrasonic sterile packaging material forming. The ultrasonic-sealed sterile packaging system for the retort pouches comprises a sealing matching degree monitoring module, an ultrasonic-sealed sterile packaging module and an ultrasonic-sealed sterile packaging module, a sterilization stress monitoring module; a cooling stress evaluation module; and a retort pouch plastic molding qualification monitoring module. According to the method, whether sealing parameter self-adaptive adjustment is adopted or not is determined by conducting sealing matching degree analysis, then sterilization stress evaluation is conducted to determine whether sterilization temperature and pressure adjustment is adopted or not, then cooling stress evaluation is conducted to determine whether retort pouch cooling gradient adjustment is adopted or not, and finally retort pouch plastic forming state qualification verification is conducted. The effect of improving the percent of pass of the ultrasonically-sealed retort pouch aseptic packaging product is achieved, and the problem that the percent of pass of the ultrasonically-sealed retort pouch aseptic packaging product is low in the prior art is solved.

The invention relates to the technical field of operation management, in particular to an airport intelligent global situation awareness and intelligence analysis management method and system. The method comprises the following steps: capturing corresponding global operation data in real time to generate an airport global original data set; performing airport operation map construction and pressure elasticity test analysis on the airport global original data set to generate an airport operation global pressure assessment result; performing airport operation pressure planning and global situation awareness comparative analysis on the basis of an airport operation global pressure assessment result to generate an airport actual operation global situation awareness model; carrying out risk early warning information analysis and airport omnibearing comparison based on the airport actual operation global situation awareness model, and generating an airport global operation process redisk report containing deviation analysis; and performing operation optimization and improvement analysis based on the airport global operation process recovery report to obtain an airport operation global optimization and improvement management scheme. The airport operation efficiency can be remarkably improved.

To provide a stress evaluation system capable of accurately evaluating a stress state of an animal.SOLUTION: A stress evaluation system according to the present invention includes an acquisition unit that acquires biological information of an animal, a storage unit in which a change in the biological information and an evaluation value related to stress are associated with each other, an evaluation unit that evaluates a stress score of the animal from the acquired change in the biological information and the evaluation value with reference to the storage unit, and an output unit that outputs a result of the evaluation. According to such a configuration, the owner can more appropriately manage the health condition of the animal by accurately evaluating the stress state of the animal.SELECTED DRAWING: Figure 1

The invention provides a stress evaluation method and system for a TSV packaging structure, and relates to the technical field of semiconductor packaging, and the method comprises the steps: constructing a global coarse mesh model, cutting to generate a local TSV sub-model, and generating a failure feature mapping table; based on the failure feature mapping table and a preset process temperature curve, coupling solution is carried out on the local TSV sub-model, and a multi-physical field data set is output; training a failure probability prediction model by combining the failure feature mapping table based on the multi-physics field data set, and generating a digital failure atlas template; performing dynamic risk assessment based on the digital failure atlas template, the real-time process parameters and the dynamically calculated electrothermal coupling parameters, and generating a failure risk report; analyzing the failure risk report, and generating a mode-based optimization guide; and performing spatial deviation comparison based on the verification test data executed by the mode-based optimization guide, and when the spatial deviation exceeds a preset threshold value, outputting a failure map version updating mark and triggering the failure feature mapping table to iteratively update.

The invention discloses a flight student pressure assessment system based on fusion of heart rate variability and multi-modal data, and relates to the technical field of flight training. The data acquisition module is used for acquiring heart rate variability data, electroencephalogram data, galvanic skin data and behavior data of a flight student, and constructing a data set after preprocessing; the feature extraction module is used for extracting features from the data set and comprises the steps of extracting time domain features and frequency domain features from heart rate variability, calculating phase synchronism of different electroencephalogram channel signals based on a phase locking value, extracting energy features of each frequency band and decomposing a skin electric signal on different time scales based on wavelet transform; and extracting a baseline value and fluctuation amplitude characteristics. According to the method, the limitation of a single index is broken through by integrating the heart rate variability physiological signal and the limb movement behavior data; the system assists students in cognitive pressure, personalized guidance of coaches and mechanism optimization training, promotes flight training to be changed from experience driving to data driving, and provides early warning measures for high-risk flight students.

The invention relates to the technical field of vibration engineering, and discloses a battery rack welding seam swing working condition stress assessment method and system, and the method comprises the steps: synchronously collecting a vibration response signal and an excitation reference signal of a vibration sensor at a welding seam key point when a container type power supply device is in a swing working condition; performing phase-space reconstruction on the vibration response signal to obtain a vibration signal correlation dimension, and analyzing a dynamic equivalent stress amplitude of the weld joint key point according to the vibration signal correlation dimension; combined vibration deformation analysis is conducted on the vibration response signals and the excitation reference signals, and dynamic strain field distribution corresponding to the weld joint key points is obtained; according to the dynamic strain field distribution and the constitutive relation parameter increment of the battery rack material, iteratively analyzing the dynamic stress time domain process of the weld joint key point; and according to the stress data in the dynamic stress time domain process and the dynamic equivalent stress amplitude, the battery rack welding seam swing working condition stress is determined. According to the invention, the accuracy of battery rack welding seam swing working condition stress assessment can be improved.

The invention relates to the technical field of digital twinning, in particular to a fan blade stress evaluation system based on digital twinning, which comprises a twinning model sensing mapping module, a global stress field resolving module, a stress gradient anomaly diagnosis module and a dangerous section comprehensive evaluation module. According to the method, strain vibration time sequence data associated with wind field load-load intensity are screened, a measured value is taken as a reference, and blade global stress field distribution is calculated by using a spatial interpolation model, so that accurate mapping from a limited sensing point to an overall stress state is realized, and then potential stress concentration points are rapidly positioned according to stress space gradient changes; and then automatically identifying and delineating a dangerous section range by using a density clustering algorithm, and performing weighted summation on gradient values to form a set of comprehensive evaluation indexes which are more objective to the dangerous section.

According to the method for constructing the stress evaluation path of the pressure-bearing container, a node P0 with the maximum stress value on the wall surface of the container is obtained through finite element analysis to serve as the starting point of the stress evaluation path, and the wall surface A1 where the P0 is located and the wall surface A2 opposite to the wall surface A1 are determined; an initial grid size t1 is set on the opposite side wall face A2, a face grid N1 is divided, the grid size is halved to t2, and a face grid N2 is re-divided; finding nodes P1 and P2 with the minimum distance from the starting point P0 under different grid densities, and recording corresponding distances D1 and D2; calculating a relative error e between the D1 and the D2, and comparing the relative error e with a preset error tolerance value: if the error e is greater than the tolerance value, assigning a grid size t2 to t1, returning to the step of re-dividing the grid and searching the nearest node until the error e is not greater than the tolerance value, taking a straight line segment defined by P0 and finally determined P2 as a stress evaluation path of the container at the part, and the accuracy of stress evaluation is improved.

The present application relates to the technical field of health monitoring, in particular to a cancer survivor work pressure monitoring system based on big data, which comprises a physiological parameter analysis module, a stress cause analysis module, a work load distribution module and an abnormal stress monitoring module. In the present application, the sensitivity and accuracy of data analysis are improved through the difference analysis of heart rate fluctuation, skin conductance and blood pressure range, the data points with large fluctuations are screened and classified, the efficiency of abnormal data capture and classification is optimized, the stress cause identification accuracy and distribution law insight are improved, the key stress factors are determined through sensitivity sorting, the stress evaluation is more scientific and quantitative, the priority dynamic adjustment is realized in load classification and grouping, the work pressure distribution is optimized, the abnormal stress point monitoring and grading judgment are strengthened, the stress abnormality grade fine monitoring is realized, the data quantification and dynamic monitoring capability are enhanced, the stress management efficiency is improved, and the targeted data support is provided for personalized health intervention.

The application discloses a mould stamping production line intelligent scheduling method, comprising the steps of data acquisition, analysis, calculation, judgment, scheduling I, scheduling II, load reduction, migration and optimization. The application cooperatively monitors the pressure data and temperature data in real time, reduces the probability of stress evaluation deviation caused by pure dependence on pressure data, optimizes the scheduling strategy in time, reduces the probability of energy waste or mold scheduling delay, improves the adaptive adjustment capability of mold scheduling, reduces the waiting time waste by reducing the stamping speed and prolonging the pressure holding time, improves the comprehensive efficiency of the equipment, reduces the production capacity loss, and thus improves the production efficiency of the material.

This invention relates to the field of electrical variable measurement technology, specifically disclosing a dynamic monitoring and evaluation system for the short-circuit withstand capability of dry-type power transformers. The system includes a high-speed data acquisition module, a short-circuit characteristic analysis module, an electrodynamic calculation module, a mechanical stress evaluation module, a dynamic evaluation decision module, and a result output and early warning module. By acquiring current and voltage signals in real time, extracting short-circuit characteristic parameters, calculating electrodynamic and mechanical stresses, and combining multi-level thresholds, historical data, and a lifespan decay model for comprehensive evaluation and early warning, it achieves accurate and dynamic monitoring of the transformer's short-circuit withstand capability and quantitative assessment of its health status, thereby improving the operational safety of power grid equipment.

The invention relates to the technical field of aircraft repair tolerance design, in particular to an O-shaped ring contact stress evaluation model based on a second-order response surface method and a construction method, and the construction method comprises the steps: 1, building a two-dimensional axisymmetric finite element model based on the structural characteristics of an actuator; step 2, setting material parameters and characteristics of the actuator; 3, performing model test level setting in combination with the influence of different influence factors on the O-shaped ring; 4, establishing an O-shaped ring contact stress analysis model based on a second-order response surface method; and 5, determining a coefficient by using R2, and evaluating and analyzing that the precision of the model established in the step 4 meets the requirement. The problems that when the contact stress of the O-shaped ring is analyzed through a traditional simulation calculation method, the analysis time is long, model convergence is difficult, and complete analysis is still needed again when parameters are changed are solved, a complex pipe system is fitted through few sample points, the analysis rate is remarkably increased, and the calculation cost is reduced.

This invention discloses a method and apparatus for stress assessment during the demolition of multi-story bridges, relating to the field of demolition construction technology. The apparatus includes a mobile mechanism with a detection mechanism, an opening mechanism, and a counterweight mechanism at its top. The mobile mechanism also includes a base, with gear A on its side and gear B at its top. A track A is attached to the top of gear B. A connecting plate is mounted on the left side of the base, and a bottom plate is mounted on the left side of the connecting plate. This allows for precise linkage between a sliding block and an adjusting plate, adjusting the infrared detection head to the optimal detection angle and ensuring the stress plate is in close contact with the ground. This automated detection process reduces manpower requirements and avoids data acquisition chaos caused by multiple manual operations, achieving more efficient and accurate detection results and providing more convenient and reliable technical support for bridge maintenance.

The present application relates to a kind of integrated forming nozzle inner ablation layer residual stress evaluation method, belong to stress evaluation method technical field.The present application solves the technical problems in the prior art, such as the large residual stress of integrated nozzle inner ablation layer, the inability to quantize, the inability to target design iteration optimization, the high difficulty of integrated nozzle design, the high risk of manufacturing, the cracks and delamination of inner ablation layer.The evaluation method of the present application first establishes a basic mechanics model, and then converts the residual stress evaluation of the inner ablation layer into the solution of the secondary hyperstatic problem through the basic mechanics model.The stress evaluation method solves the problems such as the design of structure thickness, winding angle and lay-up angle in the design of integrated nozzle, and significantly reduces the manufacturing risk caused by the design defects of integrated nozzle.

To provide a method for evaluating elastic buckling stress intensity of a lip-groove cross-sectional member when a bending moment acts on the lip-groove cross-sectional member in which only one flange subjected to tensile force is restrained.SOLUTION: In a lip-groove sectional member 10A having a web 11A, a pair of flanges 12A, 13A provided at both ends of the web in the width direction so as to extend in the thickness direction of the web, and a pair of lips 14A, 15A extending from tips from which the pair of flanges extend so as to approach each other, a first flange, which is one of the pair of flanges, is restrained from deformation in the thickness direction and from rotation about the material axis O1 of the lip-groove sectional member, and elastic buckling stress intensity of the lip-groove sectional member in which a bending moment about the strong axis of the lip-groove sectional member is subjected to the lip-groove section member to pull the first flange is evaluated.SELECTED DRAWING: Figure 2

The application relates to a light beam scanning path generation method for additive manufacturing and an application and an electronic device thereof. The method comprises the following steps: dividing at least one scanning area of a layer to be scanned into a plurality of sub-areas; determining a heat accumulation risk value and a stress evaluation value of each sub-area, and assigning weights to the heat accumulation risk value and the stress evaluation value to construct a weight matrix, wherein the heat accumulation risk value is determined according to the distance from the sub-area to the layer boundary and the temperature gradient; and performing sequencing on the scanning sequence of the plurality of sub-areas according to the weight matrix, taking the heat accumulation risk value as a first optimization strategy and the stress evaluation value as a second optimization strategy, generating a light beam scanning path matched with the sequencing, and realizing more optimized scanning path planning, so as to improve the forming quality, size accuracy and mechanical properties of a part, and reduce the risk of thermal deformation and residual stress in the manufacturing process.

The invention discloses a lithium battery diaphragm internal stress rapid assessment method and system, belongs to the technical field of batteries, and solves the problem of how to reduce the operation complexity and equipment cost of a lithium battery diaphragm stress assessment method. Comprising the following steps: S1, cutting a sample from a lithium battery diaphragm to be detected, and marking an initial size; s2, on the basis of a stepped heating method, performing stepped constant-temperature heating treatment on the sample at a plurality of different temperature stages, inducing staged release of internal stress of the sample, and measuring the size of the sample after heating treatment; s3, on the basis of the initial size and the size obtained after heating treatment, the corresponding heat shrinkage change rates of the sample in different temperature stages are calculated, and the internal stress level of the diaphragm is directly evaluated according to the change trend of the corresponding heat shrinkage change rates in all the temperature stages; the stepped heating temperature stage is designed to correspond to stress release of different energy levels, the accuracy of diaphragm stress evaluation is effectively improved, complex instruments are not needed, and the method has the advantages of being easy to operate, low in equipment cost and high in evaluation speed.

The invention belongs to the field of petroleum geological exploration reservoir evaluation, and discloses a leakage longitudinal wave-based anisotropy and ground stress evaluation method and related equipment.The method is mainly applied to a slow stratum, and comprises the following steps: firstly, extracting a leakage longitudinal wave, and obtaining a fast wave and a slow wave through four-component waveform data of the leakage longitudinal wave; then obtaining an auxiliary fast wave time sequence, an auxiliary slow wave time sequence and an auxiliary fast and slow wave waveform according to the fast wave and the slow wave, carrying out fast and slow wave matching processing based on a waveform matching method to obtain fast wave slowness and slow wave slowness, and finally obtaining leakage longitudinal wave anisotropy according to the fast wave slowness and the slow wave slowness. Anisotropy and ground stress evaluation is realized; according to the method, the cross dipole leakage longitudinal waves which are easy to extract are acquired, and based on the similarity of the waveforms of the fast and slow waves in the longitudinal waves, a waveform inversion method is used, and combined superposition of array sound wave data is fully utilized to suppress noise, so that the calculation precision and stability are improved, and accurate and reliable stratum anisotropy and ground stress evaluation is realized.

The invention discloses a piezoelectric electromagnetic bimorph sensing structure and a simulation analysis method thereof, and relates to the technical field of sensor design and simulation. The structure comprises a PZT5H piezoelectric layer, an AFC260 alloy elastic blade layer and a PZT5H piezoelectric layer which are stacked in sequence, terminal-ground-terminal parallel excitation is adopted to induce bending vibration, and the resonant frequency can be accurately tuned within the range of 2327 kHz through additional mass. The structure can be further compounded or coupled with a FeGa magnetostrictive layer to form a magnetoelectric sensing unit for non-contact current measurement. According to the matched simulation method, accurate prediction and optimization of resonant frequency, vibration amplitude and stress distribution are realized through parametric modeling, grid encryption, electromechanical / magnetoelectric multi-physics field coupling analysis and stress evaluation. The device is high in integration level and flexible in tuning, remarkably shortens the development period through simulation driving design, improves the reliability, and is suitable for the field of power monitoring and micro sensing.

The invention relates to a multi-modal information processing method and apparatus, an electronic device and a medium. The method comprises the steps of obtaining a task representation video of an evaluation object recorded in a pressure evaluation task; performing modal extraction and conversion processing on the task presentation video to obtain time sequence audio data, time sequence video data and time sequence text data obtained after transcription of the time sequence audio data; inputting the time sequence text data into a target pre-training model with a preset cue word, and outputting pressure level description information; integrating the time sequence text data and the pressure level description information to obtain integrated text data; and performing feature extraction, multi-modal feature fusion and pressure evaluation analysis based on fusion features on the time sequence audio data, the time sequence video data and the integrated text data to obtain a pressure evaluation result of the evaluation object. And the accuracy, the robustness and the generalization ability of pressure assessment are remarkably improved.

The invention provides a design method for a fir-tree-shaped tenon of a turbine blade. The design method comprises the following steps of building a structure parameter system, determining an initial parameter range, building a stress calculation model and optimizing multi-target parameters. According to the turbine fir tree-shaped tenon structure design method, turbine fir tree-shaped tenon structure design parameters are established, on the basis of the turbine fir tree-shaped tenon structure design parameters, the extrusion stress and the shear stress of the tenon meshing face are calculated, the turbine fir tree-shaped tenon structure design can be rapidly completed under the limiting condition, the stress of the turbine fir tree-shaped tenon structure design can be evaluated, and a set of proper structure parameters are selected.

The invention relates to the technical field of electrical variable measurement, and particularly discloses a dynamic monitoring and evaluating system for the short-circuit bearing capacity of a dry-type power transformer. The system comprises a high-speed data acquisition module, a short-circuit characteristic analysis module, an electrodynamic force calculation module, a mechanical stress evaluation module, a dynamic evaluation decision module and a result output and early warning module, and current and voltage signals are acquired in real time, short-circuit characteristic parameters are extracted, and electrodynamic force and mechanical stress are calculated. And comprehensive evaluation and early warning are carried out in combination with a multi-level threshold value, historical data and a service life attenuation model, so that accurate and dynamic monitoring and health state quantitative evaluation of the short-circuit bearing capacity of the transformer are realized, and the operation safety of power grid equipment is improved.

The present application relates to a method for avoiding fault safety distance in hydraulic fracturing process based on ground stress evaluation. The moment magnitude of earthquake caused by fault activity is calculated by seismic moment. The fault is characterized in a three-dimensional geomechanical model by three-dimensional elements through the fault surface. Firstly, a single fault element is taken to analyze the magnitude of moment magnitude caused by the destruction of the single fault element, and then the total moment magnitude caused by the destruction of the single fault element is analyzed according to the overall fault destruction. The shear strain at the fault surface is calculated. The destruction of the single fault element is calculated. The magnitude of the seismic moment caused by the destruction of the single fault element is calculated. The seismic moment of all destroyed fault elements is summed to obtain the total seismic moment. The magnitude of the moment magnitude caused by the fault activation under different working conditions is obtained. Based on the three-dimensional geomechanical technology, the fault displacement and the response calculation process of the moment magnitude are quantified. The fault activation risk level is evaluated by the response of the moment magnitude, and then the safety avoidance distance of the hydraulic fracturing well position is quantified.

The application discloses a kind of based on the hot spot area recreation stress evaluation and early warning method of tourist space-time track, by processing tourist space-time track and geographic information data, dynamic hot spot area and its space-time characteristics are identified;Further, the real-time recreation stress index is evaluated by fusing multidimensional index, and the space-time graph network is constructed to model the stress propagation relationship;Using pre-trained space-time graph prediction model, the predicted stress index and propagation path of future period can be obtained;Finally, based on the prediction result, generate graded early warning and macroscopic diversion plan, and publish personalized guide strategy through path induction algorithm in combination with individual location information.The application realizes the dynamic and accurate evaluation and prediction of scenic spot recreation stress, can prospectively identify stress conduction risk, and generate coordinated control strategy from macro plan to individual guidance, effectively improve the initiative and fine level of scenic spot management.

A gas pipeline local stress evaluation device disclosed by the present invention comprises an annular shell, the shell sleeves the gas pipeline, at least two deformation detection devices are uniformly distributed on the shell along the radial direction of the gas pipeline, the deformation detection devices are provided with force detection rods, the inner ends of the force detection rods abut against the outer wall of the gas pipeline, and the outer ends of the force detection rods abut against the outer wall of the gas pipeline. The outer end of the force detection rod extends outwards in the radial direction of the gas pipeline, the outer end of the force detection rod extends into an inner cavity of the shell through a first sliding hole formed in the inner wall of the shell, a tension and pressure sensor is fixedly arranged on the inner wall side of the outer side wall of the shell, and the outer end of the force detection rod is connected with the tension and pressure sensor through a spring. The device is used for detecting the deformation of the key part of the gas pipeline, so that a manager can conveniently evaluate the stress borne by the gas pipeline, and data support is provided for the manager to evaluate the health condition of the gas pipeline.

The application relates to a kind of evaluation methods of stress state of tunnel inverted arch and side wall junction area based on crack width inversion, and relates to the technical field of tunnel engineering monitoring, comprising: S1, collecting initial design parameters and field measured data of tunnel portal section, constructing quasi-real full-face stress initial benchmark model, and synchronously obtaining multi-dimensional crack feature data set of junction area;S2, defining local damage index based on multi-dimensional crack feature data set, and mapping to generate equivalent stiffness reduction coefficient of junction area element;S3, by simulating internal force redistribution process, the real stress state of junction area and the internal force variation increment of whole ring structure are inverted;S4, combined with the stress state and internal force variation increment inverted, execute local bearing capacity checking and global derived risk assessment, output structure safety state classification and corresponding engineering intervention suggestion, solve the problem that the cost is high in prior art due to the dependence on pre-embedded sensor, and the problem that post-stress evaluation cannot be carried out on in-service tunnel.

The invention provides a method for evaluating the cooling effect of a cooling flow channel of a PET bottle preform mold, and the method comprises the steps: embedding an ultrasonic thickness measurement sensor array at a key position of the cooling flow channel, obtaining accurate wall thickness and surface roughness data through the combination of signal filtering and wavelet denoising, and achieving the reconstruction of micro-scale geometrical morphology based on a physical information neural network; according to the method, the thermal-mechanical coupling finite element model is dynamically corrected, thermal stress distribution and risk evolution are predicted through the reduced-order model and the long-short-term memory network, finally, a structured thermal stress evaluation report is output, real-time early warning of the mold failure risk is achieved, and the accuracy and prediction capacity of runner wear detection are improved.

The present application relates to the technical field of stress evaluation, and in particular to a stress evaluation method and system based on active physical interaction, which comprises: obtaining passive physiological data, the passive physiological data comprising at least one of HRV data, EDA data, PPG data, blood pressure data, blood oxygen saturation data and sleep quality data; calculating a physiological load level according to the passive physiological data; updating a physiological load baseline according to scenario data; the physiological load baseline being a dynamic threshold for judging whether the stress level is abnormal, which changes with the scenario in which the user is located; and comprehensively determining the stress level of the user according to the physiological load baseline and the physiological load level. The present application can greatly improve the accuracy of stress evaluation of a user by a wearable device, reduce the misjudgment rate and improve the user experience.