39 results about "Air mass" patented technology

The invention relates to the technical field of data detection, in particular to an unmanned aerial vehicle atmospheric data anomaly detection and correction system based on deep learning, and provides the following scheme: an air mass reference coordinate system is constructed based on the attitude of an unmanned aerial vehicle and a relative wind direction; re-projecting the original measurement data to obtain an atmosphere data sequence with a stable reference direction; then, generating a frequency mask dynamically changing along with time, wherein the frequency mask is used for constraining positioning of disturbance energy of the rotor wing in the time-frequency analysis process; performing multi-scale decomposition on the time-frequency coefficient matrix based on a multi-channel frequency mask, and respectively extracting an aerodynamic disturbance estimation signal, a background atmosphere signal and a turbulence structure signal; and inputting the three types of signals into a preset deep learning model to realize identification and corresponding correction of atmospheric data anomaly. According to the invention, rotor disturbance and a real atmospheric structure can be distinguished, and the quality and reliability of atmospheric observation data are improved.

The invention discloses an atmospheric pollutant traceability method and system based on trajectory clustering. The method comprises the following steps: collecting hourly pollutant concentration data and synchronous meteorological data of a target monitoring station during a pollution event; based on the meteorological data, calculating an air mass backward track arriving at the target monitoring station; carrying out preprocessing and clustering analysis on the backward trajectory of the air mass to obtain a plurality of trajectory clusters; aiming at each track cluster, potential pollution source contribution analysis related to the cluster is respectively carried out, and potential source area space distribution information corresponding to the cluster is identified and generated based on an analysis result; extracting a central track of each track cluster as a typical transmission path, and analyzing vertical transmission characteristics of pollutants of different air mass types; and generating a traceability map for assisting in formulating a differentiated regional joint defense and joint control scheme for different transmission paths and source regions. The mixed pollution source can be effectively deconstructed, and the source area and the conveying channel can be accurately associated.

The invention relates to the technical field of atmospheric science and remote sensing, in particular to a volcanic sulfur dioxide vertical section inversion method based on a Lagrange diffusion model, and the method comprises the steps: obtaining volcanic eruption total mass constraint, satellite sulfur dioxide column concentration and effective pixels, three-dimensional meteorological driving data and chemical clearing parameters; calculating a vertical weighting function by utilizing a radiation transmission mode, and generating initial vertical distribution by combining with a column concentration layering ratio; constructing a diffusion model to simulate an air mass backward track and match observation pixels to obtain attribution air mass distribution; optimizing a volcanic sulfur dioxide vertical emission profile time sequence based on attribution distribution and total mass constraint; and inputting the sequence into a diffusion model for forward simulation, comparing satellite observation data to calculate a verification index, correcting a diffusion coefficient according to a threshold value, and outputting a target vertical emission profile time sequence. According to the method, through backward trajectory attribution and forward verification closed-loop optimization, the volcanic sulfur dioxide vertical distribution inversion precision is remarkably improved.

The invention discloses a bionic air-space cooperative atmosphere intelligent regulation and control system and method. The system comprises a twin digital earth, an atmospheric brain, an air-space AI mobile base comprising a troposphere special base and a stratosphere special base, a plurality of macroscopic telescopic pipelines, an array composed of macroscopic intelligent sunshade reflectors, and a multifunctional intelligent micro-unit cluster. A regulation and control strategy is generated through multi-source data assimilation and intelligent strategy optimization, physical states such as temperature and humidity of air masses in a pipeline are actively adjusted through an environment control section in a macroscopic telescopic pipeline, and low-energy-consumption, stepped and directional transportation of cloud water substances is achieved by actively utilizing the chimney effect formed by the atmospheric environment; controllable adjustment of solar radiation input is achieved through dynamic management of the intelligent sunshade reflector array. The system has four operation modes which can be evolved according to technical capability stages from macroscopic direct intervention to global intelligent collaboration, and is configured with a module recovery and platform stability anchoring mechanism so as to realize emergency intervention on disastrous weather.

The invention relates to the technical field of fog potential forecasting, and discloses a plain area fog potential forecasting method based on weather typing and meteorological element change, which comprises the following steps: constructing a low-visibility event instance library, and establishing a high-altitude circulation and ground situation typing library; and then matching the real-time forecast field with the typing library to determine a weather background, and extracting meteorological elements such as temperature inversion and quiet wind. The method is characterized in that a movable boundary conceptual model is integrated, an air mass boundary is identified by calculating a horizontal temperature gradient and is quantified into discrete state characteristics representing cold and warm air mass effects, and finally, a weather background, conventional elements and the discrete state characteristics are jointly input into a Bayesian probability model, so that the air mass effect is obtained. And calculating and outputting the posterior probability of each fog potential level. According to the method, the key physical process is quantified and then fused into the statistical model, so that the capturing capability of a specific fogging mechanism is improved, and the forecasting result has high accuracy, strong interpretability and refined probability characteristics.

The invention discloses an online detection method for a gas densitometer, which relates to the technical field of gas densitometer detection and comprises the following steps of: for density data which are determined as data with inconsistent structures, combining the density data with temperature data and pressure data in a corresponding time period; identifying whether a detection time period corresponding to the density data is in a buffer air mass intervention state or not; under the condition of a buffer gas mass intervention state, constructing a detection point based on temperature data, pressure data and density data collected by a gas densimeter in real time, comparing the detection point with a representative state space constructed based on a historical stable state, and determining an attribute mismatching degree of the density data; and dividing the density data into three grades of representativeness, representativeness doubt and non-representativeness according to the determined attribute mismatch degree. According to the method, the problem that the density data distortion cannot be identified due to buffer air mass intervention is solved, and density data representativeness intelligent discrimination and differential application are realized.

The invention relates to the technical field of vehicle-mounted mobile meteorological detection, in particular to a vehicle-mounted mobile meteorological detection system and method. The method comprises the following steps: activating a laser radar system of a vehicle-mounted end to collect back scattering signals of a target air mass corresponding to each collection point on a voyage route, performing inversion based on the back scattering signals to obtain an extinction coefficient of the target air mass, and determining the boundary of the target air mass based on the variation of the extinction coefficient of the target air mass on the voyage route; determining a wind field vertical profile of the target air mass based on the heterodyne spectrum; and obtaining a posterior failure probability of the moving trend of the target air mass based on Bayesian inversion analysis, and predicting the moving trend of the target air mass based on the posterior failure probability. According to the method, the air mass boundary can be accurately determined, the height of the vertical profile of the wind field is calculated, the air mass moving trend is analyzed and predicted through Bayesian inversion, and the accuracy of air mass moving trend prediction is improved.

The application discloses an iterative bias correction method considering non-uniformity of a satellite instrument probe element, which comprises bias correction amplitude, construction of a cost function and initialization, construction of a bias operator, clearing of the probe element bias, updating of an atmospheric quality bias correction BC coefficient according to an observation background deviation O-B, calculation of an observation background deviation O-B residual as the probe element bias by using the updated atmospheric quality bias correction BC coefficient, calculation of the next round of observation background deviation O-B according to the probe element bias of the last round, repetition of the probe element bias calculation step, multiple iterations until the atmospheric quality bias correction BC coefficient is stable, and output of the final atmospheric quality bias correction BC coefficient and the probe element bias for bias correction on observation data. The method makes the air mass bias correction coefficient and the probe element bias tend to be stable, improves the normality of the deviation between the initial guess observation and the simulation result, and makes the peak value and the average value closer to zero, and can be used for solving the probe element non-uniformity problem of the satellite instrument and the infrared hyperspectral probe.

The invention discloses a low-temperature humidity control method for an automobile environment test chamber, which relates to the technical field of automatic control of test chambers and comprises the following steps: acquiring dry-bulb temperature, relative humidity and atmospheric pressure in the chamber, front and back pressure difference of a coil pipe, air volume, surface temperature of the coil pipe and outlet temperature of the coil pipe, and calculating air mass flow and moisture content in the chamber; symmetrical temperature perturbation is applied with the current coil pipe surface temperature as the center, coil pipe air side channel impedance coefficients are calculated at different temperature points, and an impedance curvature index is calculated according to the coil pipe air side channel impedance coefficients; a continuous inhibition factor is generated based on the impedance curvature index, a basic dehumidification demand obtained by the moisture content deviation is continuously corrected, and a planned dehumidification mass flow rate is obtained; and the humidification mass flow rate, the coil pipe target temperature and the reheating power are further calculated and issued to a refrigerating loop, a humidifier and a reheater. The low-temperature humidity control stability of the test chamber can be improved.

The invention belongs to the technical field of energy efficiency measurement, and provides a multi-split air conditioner operation energy efficiency measurement method and system.The method comprises the steps that firstly, the temperature and relative humidity of air entering an outdoor unit of the multi-split air conditioner are obtained, and the air outlet temperature and relative humidity of the outdoor unit of the multi-split air conditioner and the multi-point real-time air speed of a fan are obtained; then according to the relative humidity, the air temperature and the multi-point real-time air speed of the draught fan, the moisture content, the enthalpy value and the exhaust air volume mass flow rate are obtained; and finally, according to the enthalpy value and the exhaust air volume mass flow, the multi-split air conditioner outdoor unit side heat dissipating capacity and the multi-split air conditioner outdoor unit side heat taking capacity are determined, and according to the multi-split air conditioner outdoor unit side heat dissipating capacity and the multi-split air conditioner outdoor unit side heat taking capacity, the multi-split air conditioner refrigerating energy efficiency and the multi-split air conditioner heating energy efficiency are determined. The energy efficiency of the multi-split system is calculated and deduced from the air enthalpy difference of the outdoor unit side of the multi-split system, the method is reliable, no correction value interference exists, the number of data measuring points is small, on the basis that the energy efficiency measuring accuracy is guaranteed, the implementation is high, and compared with a temperature difference mode, the method is more reliable and effective.

This invention discloses an adaptive constant temperature control method and system for circulating water pumps based on ambient temperature, relating to the field of adaptive constant temperature control. The method involves acquiring the spatial structural parameters of an air conditioning cooler, constructing a three-dimensional thermal and humid air motion model coupling exhaust and intake airflows, generating a potential energy field for the risk of exhaust hot and humid air mass recirculation based on the three-dimensional thermal and humid air motion model, and combining real-time ambient temperature, forecast temperature, and meteorological boundary conditions to perform recirculation self-excited oscillation detection. A corrected equivalent ambient temperature is output to eliminate recirculation self-interference deviation. Using the corrected equivalent ambient temperature as a feedforward variable, a target operating current setpoint for the water pump is generated through a compensation function that compensates for the inverse relationship between the pump operating current and ambient temperature. After smoothing and filtering, the setpoint is output to the variable frequency drive of the circulating water pump. The variable frequency drive adjusts the output frequency according to the current setpoint to ensure that the pump operating current tracks the setpoint, maintaining a constant cooling water supply temperature.

The invention provides an air source heat pump frosting rate prediction method and system, and belongs to the technical field of air source heat pump defrosting control. The method comprises the steps that initial parameters needed by prediction are obtained, wherein the initial parameters comprise the outdoor air temperature and relative humidity, the outdoor heat exchanger coil pipe surface temperature and relative humidity and the outdoor heat exchanger air inlet speed; determining air state parameters at the outlet of the outdoor heat exchanger through iterative calculation on the basis of the initial parameters in combination with a linear relation of humid air state change in the enthalpy-humidity diagram; and finally, the real-time frosting rate is calculated according to the air moisture content difference, the air mass flow and the heat exchange area of the inlet and the outlet of the outdoor heat exchanger. The system comprises a corresponding parameter acquisition and calculation module. According to the method and system for predicting the frosting rate of the air source heat pump, accurate dynamic prediction of the frosting rate is achieved through theoretical modeling and iterative optimization, a reliable basis can be provided for intelligent defrosting control, and therefore the defrosting accuracy rate and the overall energy efficiency of the system are improved.

The application discloses a test method for starting flow velocity of a long-distance water pressure pipeline air mass, which comprises the following steps: acquiring corresponding geometric parameters of air masses with various geometric sizes and actual starting velocities for driving the air masses to move by tests; calculating characteristic lengths of the air masses by using various characteristic length calculation methods of the air masses according to the geometric parameters, and calculating drag coefficients based on the characteristic lengths; calculating theoretical starting flow velocities by using a starting flow velocity model of the air masses according to the drag coefficients of the air masses with various sizes and various forces in water; calculating relative errors between the actual starting velocities corresponding to each size and the theoretical starting flow velocities corresponding to different characteristic length calculation methods, and drawing a relative error curve corresponding to the same characteristic length calculation method; constructing a characteristic length calculation model of the air mass according to a change trend of the relative error curve, updating the drag coefficients by using the characteristic length calculation model, and then updating the starting flow velocity model.

The application provides a graphical data display method and a computer device, the method comprising: acquiring monitoring data representing atmospheric components of a monitoring site within a specified time period, and trajectory data representing a moving path of an air mass passing through the monitoring site at any target moment within the specified time period; graphically displaying a display interface comprising the monitoring data and the trajectory data; wherein the display interface comprises a parent graph generated by the monitoring data within the specified time period, and a subgraph generated by the trajectory data at any target moment; the subgraph and the parent graph have a correlation relationship at the same target moment. By displaying the monitoring data of the atmospheric components and the corresponding trajectory data in the same display interface, the relationship between the change of the atmospheric components and the movement of the air mass can be more intuitively displayed, which is beneficial to researchers to carry out spatiotemporal fusion analysis.

The present application relates to heat mass exchange equipment detection technical field, disclose a kind of method and device for testing packing performance, method includes the following steps: adjusting system to run to dynamic heat balance state;Utilize air state detection mechanism to carry out physical mixing sampling to cross section air to obtain average dry-wet bulb temperature, and simultaneously collect inlet and outlet water temperature;Air is shaped after passing through flow equalizer, average dynamic pressure is collected through physically connected wind pressure detector and actual air mass flow is calculated;Based on the acquisition parameter, according to heat transfer mass transfer theory, the numerical integral is carried out to calculate packing performance test constant;Finally, through multi-working condition test and curve fitting, general performance characteristic equation is established.The present application effectively solves the measurement error problem caused by airflow distribution uneven by air physical mixing sampling and airflow homogenization pressure measurement, improves the accuracy of thermodynamic parameters and flow calculation, and the characteristic equation generated has higher engineering application value.

The application discloses an atmospheric pollution tracing method fusing a numerical model and an artificial intelligence algorithm, and relates to the technical field of atmospheric pollution tracing. The method preprocesses meteorological data and simulates a high-precision meteorological field, converts a result into a readable format of a Lagrangian diffusion model, generates a high-resolution space-time footprint matrix based on the driving model, identifies a dominant air mass path, combines pollutant concentration data of receptor points, constructs and verifies a random forest regression model, takes the footprint matrix as features, takes standardized concentration as labels, quantifies the contribution of grid points through feature importance and Shapley explanation methods, and identifies key pollution source areas. The application can achieve the technical effect of significantly improving the accuracy and efficiency of atmospheric pollution tracing and providing more scientific and accurate decision-making basis for atmospheric pollution prevention and control.

The invention belongs to the field of explosive mechanics, and provides an explosive particle jet intensity calculation method and related equipment. According to the method, under the condition that high-pressure air mass drives explosive particles to move, a first cloud and mist area is determined according to mass distribution of the explosive particles, and a first jet flow area is determined according to the stacking density gradient of the explosive particles and the first cloud and mist area; calculating a first mass proportion of the explosive particles in the first jet region based on the mass of the explosive particles in the first jet region and the mass of the explosive particles in the first cloud region; determining the local stacking density of the explosive particles at the position of each jet flow in the first jet flow area and the minimum stacking density of the explosive particles in the first jet flow area; based on the first mass specific gravity, the local stacking density and the minimum stacking density, the first jet flow intensity is obtained. The method can accurately determine the jet flow intensity of the explosive particles.

The utility model relates to the technical field of atmospheric circulation teaching, and discloses a tester for atmospheric circulation teaching. According to the device, a storage box body is fixedly connected to the lower end of the experiment box frame, a heat preservation pad is fixedly connected to one side of the interior of the storage box body, a drawer is slidably connected to the side, opposite to the storage box body, of the heat preservation pad, and a handle is fixedly connected to one side of the drawer; one end, opposite to the experiment box frame, of the storage box body is fixedly connected with a plurality of footstands. An ice block placing box is additionally arranged for the tester used for atmospheric circulation teaching, and a heat preservation pad is used for guaranteeing the temperature of ice blocks and preventing the ice blocks from being excessively melted to affect the teaching effect. By placing ice cubes, the movement and influence of a cold air mass in atmospheric circulation can be simulated. Students can observe the interaction between a cold air mass and a warm air mass so as to more intuitively understand the influence of air masses with different temperatures on atmospheric circulation.

The present invention relates to the field of data processing, and to a grid point processing method for environmental data based on a graph convolutional network; the method comprises obtaining air quality monitoring data and meteorological monitoring data in a target area; performing missing processing on all monitoring data, and mapping the monitoring data of a station to a grid point matrix divided by the target area; using wind direction data and wind speed data to generate a dynamic wind field map, and using the Dijkstra algorithm to calculate a wind field adjacency matrix; constructing a mask matrix at each moment according to air quality concentration data, and constructing a feature vector set Z at each moment according to the wind field adjacency matrix, the mask matrix and meteorological monitoring data; generating a target matrix Y at each moment according to the mask matrix and the air quality concentration data; and inputting the feature vector set Z matrix into a trained graph convolutional neural network model to obtain an estimated matrix P of the target matrix. The present invention can improve the accuracy of environmental data gridding.

The invention discloses an actual measurement-based rapid source tracing method for atmospheric particulate pollution, and belongs to the technical field of rapid source tracing methods for atmospheric particulate pollution. A regional particulate emission information base is established, and the information base comprises particulate emission amounts and spatial distribution of industrial, traffic, construction site dust raising and non-road mobile machinery departments; the method comprises the following steps: determining a particulate matter pollution period according to monitoring data or a forecast result; simulating regional meteorological characteristics of the pollution period by using a meteorological mode; acquiring meteorological data; determining a receptor position; and determining a pollution emission source area according to the pollution source identification parameters, and screening targeted prevention and treatment objects of particulate matter pollution.

The invention discloses an iterative deviation correction method considering satellite instrument probe element heterogeneity, which comprises the following steps of: correcting amplitude by deviation, constructing a cost function and initializing, constructing a deviation operator, clearing probe element deviation, and updating an atmospheric quality deviation correction BC coefficient according to an observation background deviation O-B, the updated atmospheric quality deviation correction BC coefficient is adopted to calculate the observation background deviation O-B residual error as the detection element deviation, the observation background deviation O-B of the next round is calculated according to the detection element deviation of the previous round, the detection element deviation calculation step is repeated, iteration is conducted for multiple times till the atmospheric quality deviation correction BC coefficient is stable, and the detection element deviation is obtained. And outputting the final air quality deviation correction BC coefficient and the detection element deviation to carry out deviation correction on the observation data. According to the method, both the air mass deviation correction coefficient and the detector deviation tend to be stable, the normality of deviation of initial guess observation and simulation results is improved, the peak value and the average value of the deviation are closer to zero, and the method can be used for solving the problem of non-uniformity of detection elements of satellite instruments and infrared hyperspectral detectors.

The invention provides a downburst maximum vertical wind speed diagnosis method and system, and the method comprises the steps: obtaining meteorological element data of a target high-voltage power transmission corridor with sparse meteorological data, extracting an environment temperature profile based on the meteorological element data, and determining the starting height and ending height of a sinking air block in downburst according to the meteorological element data; according to the initial height, the final height and the dry adiabatic rate change, a sinking air block temperature value changing along with the height is obtained; based on the initial height, the end height, the temperature numerical value set and the environment temperature profile, effective potential energy of sinking convection is calculated according to numerical integration; identifying the maximum value of sinking convection effective potential energy in a preset time sequence; based on the law of conservation of energy, the maximum value of effective potential energy of sinking convection is converted into the maximum vertical wind speed of downburst; according to the method, the diagnosis of the maximum vertical wind speed of the downburst is obtained by establishing a direct calculation method from the DCAPE to the maximum vertical wind speed of the downburst.

The invention discloses a concentration weight trajectory calculation method integrated with air mass height and boundary layer height data, and belongs to the technical field of meteorological models. According to the method, the CWT contribution values of different height layers are multiplied by the corresponding weight factors respectively and then are corrected, the HCWT value considering the height influence is finally obtained, the comprehensive influence of the air mass on the pollutant concentration of the target area at different heights can be reflected more accurately, then the HCWT value is corrected, the corrected WHCWT value is obtained, and the target pollutant concentration of the target area is calculated. And the actual conditions that the influence of low-altitude pollution air mass on the near ground is relatively serious and the influence of high-altitude pollution air mass on the near ground is relatively light are fully considered.

The application discloses a low-altitude atmospheric particulate matter rapid settling method and system, which acquires real-time multi-dimensional monitoring data, combines numerical prediction and air mass trajectory tracking technology, realizes three-dimensional dynamic identification of low-altitude particulate matter pollution air mass, significantly improves target area positioning accuracy, and effectively avoids invalid operation. The method of the application uses sound energy shock wave to impact the directional area, forms continuous turbulent disturbance in the open atmosphere, breaks through the suspended stable state of fine particulate matter, promotes particulate matter collision and natural settling, can realize wide-range and strong-disturbance treatment, and reduces pollution transmission influence.

The present invention discloses a pollution source tracing system and method based on meteorological data simulation, which relates to the technical field of atmospheric pollution tracing. The air pollution emission position in a target park is marked, and the atmospheric pollution propagation model of the target park is obtained according to the emission record of the air pollution, the meteorological record of the target park and the air pollution emission record. The pollution superposition simulation is performed on any position in the target park through the atmospheric pollution propagation model to obtain the superposition pollution source model of the arbitrary position. When an air pollution alarm prompt is received at a certain position in the target park, the historical position and intensity of the polluted air mass are calculated according to the atmospheric pollution propagation tracing model to form an atmospheric pollution propagation path, and the emission position of the atmospheric pollution is traced cyclically. When the tracing conditions of the atmospheric pollution propagation tracing model are not met, the atmospheric pollution is traced according to the superposition pollution source obtained.

The utility model discloses a test device for test piece identification and density detection, which comprises a measuring module, a visual sensor, a mechanical grabbing module and a computer, and is characterized in that the measuring module is used for measuring the air mass, the water mass and the surface dry mass of a test piece; the visual sensor is used for acquiring a label-containing image of the test piece and reading size parameters of the test piece; the mechanical grabbing module is used for grabbing and placing a test piece, the measuring module, the visual sensor and the mechanical grabbing module are all connected with the computer, the visual sensor can collect images including serial numbers of the test piece and transmit the images to the computer, and the computer can automatically recognize the serial numbers on the test piece. According to the utility model, the serial number of the test piece can be identified, the density of the test piece can be obtained according to test data, and the problem of excessive repeated manual operation in the existing experiment can be solved.

Systems and methods are provided for circulating air and controlling air quality of an interior location. The system includes a compressor system for receiving air from the interior location, compressing the air, and supplying the compressed air to a desiccant system. The desiccant system removes moisture and contaminants from the air and delivers conditioned air to at least one expansion device. The expansion device then provides atmospheric level conditioned air back to the interior location.

The present invention proposes a method for tracing the source of atmospheric dust based on the constraint of dust activity state. Belonging to the field of atmospheric environment, the method first collects the vertical aerosol type profile data obtained from the observation data, and selects dust samples in the atmosphere. Then, the atmospheric dust source tracing algorithm is used to trace the dust samples by judging the dust activity state. Specifically, the backward trajectory of the 168-hour air mass of each dust grid sample is tracked. When the air mass passes through a desert cluster, the height of the air mass is lower than the top height of the dust layer of the desert cluster. At the same time, the dust emission rate of the desert cluster and the dust column mass density of the air mass at this time exceed the threshold. It is considered that the desert cluster has a high potential to contribute to dust. This method provides a new perspective and tool for the study of external sources of dust in the regional atmosphere.

The application provides a kind of meteorological element space-time representative calculation method and device, it is related to the technical field of meteorological element processing, including: obtaining meteorological element data of meteorological element guarantee target area preset period, and based on meteorological element data and preset clustering algorithm, meteorological element guarantee target area is divided into air mass;Based on meteorological element data, the spatial heterogeneity coefficient of each grid point in air mass is calculated;Based on the spatial heterogeneity coefficient of each grid point in air mass and preset meteorological guarantee precision, the spatial representative range of meteorological element data in air mass is calculated;Based on meteorological element data and EOF empirical orthogonal function, the time representative range of meteorological element data in air mass is calculated, the technical problems that the accuracy of existing meteorological element space-time representative calculation method is poor and space-time dimension is missing are solved.

The present invention provides a method, system, electronic device and storage medium for testing the sealing performance of a containment, which obtain the temperature, humidity and pressure inside the containment at each moment; calculate the dry air mass at each moment to obtain a discrete mass function M(i); fit M(i) to obtain a function M(t) through a preset nonlinear calculation model algorithm, and obtain a real-time leakage rate function L(t) by taking the derivative of M(t); or, take two adjacent acquisition moments as a differential segment, differentiate M(i), obtain the leakage rate of each differential segment, obtain the discrete Li in each acquisition period, and obtain the real-time leakage rate function L(t) by fitting Li through a preset calculation model algorithm; obtain the relationship between pressure and time P(t), and calculate the containment leakage rate under a specified pressure according to L(t) and P(t). The disclosed technical solution obtains a non-constant leakage rate, clarifies the relationship between the leakage rate and pressure, and improves the test accuracy.