Methods, apparatus, equipment, and storage media for determining water droplet collection rate

Abstract

This application provides a method, apparatus, device, and storage medium for determining water droplet collection rate, relating to the field of data simulation and processing technology. The method determines a water droplet collection rate influence coefficient based on a corrected inertial parameter and sensor shape parameters. It also determines a first mass ratio based on a first liquid water content, a first water droplet velocity, the corrected inertial parameter, and an aggregation effect parameter. Finally, it determines the water droplet collection rate at the sensor probe based on the water droplet collection rate influence coefficient and the first mass ratio. By introducing sensor shape parameters characterizing the geometry of the icing sensor itself, it can more efficiently and accurately predict the water droplet collection rate at the sensor probe when icing sensors of different geometries and sizes are mounted at different locations on the aircraft surface. This allows for rapid acquisition of the icing sensor's icing warning capability and provides strong data support for the design of the icing sensor's size and shape, the selection of the icing sensor's mounting location, and the calibration of the icing sensor's warning value.

Description

Technical Field

[0001] This application relates to the field of data simulation and processing technology, specifically to a method, apparatus, device, and storage medium for determining water droplet collection rate. Background Technology

[0002] Aircraft icing severely impacts overall aerodynamic performance and causes significant energy loss. Ice shedding can damage engine blades, directly endangering lives and property. Icing sensors provide real-time icing information; when icing is detected on the aircraft surface, the sensor issues a warning, effectively reducing the hazards. As an input component of the anti-icing system, the icing sensor must ensure that the icing rate at its probe is higher than the icing rate on the aircraft surface, or at least on the same order of magnitude, to have icing warning capability. The product of liquid water content and droplet velocity is positively correlated with the droplet collection rate on the surface. When the icing sensor and the icing aircraft surface are under the same icing conditions, the freezing coefficient at the sensor probe and the freezing coefficient on the aircraft surface can be approximately equal. Therefore, the droplet collection rate of the icing sensor is a crucial indicator of its icing warning capability; accurate droplet collection rates must be obtained during the design of the icing sensor's altitude, installation location analysis, and warning value calibration.

[0003] In theory, calculating the water droplet collection rate at the icing sensor probe requires mounting the sensor on every part of the aircraft surface, performing mesh generation, flow field calculation, and water droplet impact characteristic calculation for each configuration with the icing sensor. The computational load is extremely large for icing sensors of different geometric sizes, mounted in different locations, and in different icing environments, which is completely unmanageable in practical engineering.

[0004] The commonly used approximation method to solve this problem involves numerical simulation of the icing process based on an aircraft configuration without an icing sensor. Then, based on the coordinates of different designed installation locations, physical quantities such as the liquid water content and relative velocity of water droplets at the probe are obtained. Ignoring the interference from the sensor probe, the Euler method is used to estimate the water droplet collection rate at the probe. This method can quickly calculate the water droplet collection rate at the sensor probe to a certain extent, improving computational efficiency. However, it ignores the interference of the sensor's own geometry on the water droplet trajectory and collection rate after the icing sensor is installed on the aircraft surface. As a result, the calculated water droplet collection rate deviates significantly from the actual water droplet collection rate at the sensor probe after installation. Summary of the Invention

[0005] This application provides a method, apparatus, device, and storage medium for determining water droplet collection rate, which can improve the accuracy of water droplet collection rate.

[0006] This application provides a method for determining the water droplet collection rate, including:

[0007] The system acquires the first liquid water content, the first water droplet velocity, the corrected inertial parameter, the sensor shape parameter, and the aggregation effect parameter; the first liquid water content is the liquid water content at the sensor probe when the icing sensor is loaded, and the first water droplet velocity is the water droplet velocity at the sensor probe when the icing sensor is loaded.

[0008] The influence coefficient of water droplet collection rate is determined based on the modified inertial parameters and sensor shape parameters.

[0009] Based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter, a first mass ratio is determined. The first mass ratio is the ratio of the liquid water mass at the sensor probe after the icing sensor is installed to the liquid water mass at the far-field spatial point.

[0010] The water droplet collection rate at the sensor probe is determined based on the water droplet collection rate influence coefficient and the first mass ratio.

[0011] In one embodiment of this application, determining a first mass ratio based on the first liquid water content, the first water droplet velocity, the corrected inertia parameter, and the aggregation effect parameter includes:

[0012] Based on the first liquid water content and the first water droplet velocity, a second mass ratio is determined between the liquid water mass at the sensor probe and the liquid water mass at the far-field spatial point when the icing sensor is not loaded.

[0013] The first mass ratio is obtained based on the corrected inertia parameter, the aggregation effect parameter, and the second mass ratio.

[0014] In one embodiment of this application, obtaining aggregation effect parameters includes:

[0015] Obtain the height of the icing sensor and the radius of curvature at the loading point of the icing sensor;

[0016] The aggregation effect parameters are determined based on the height of the icing sensor and the radius of curvature at the loading point of the icing sensor.

[0017] In one embodiment of this application, determining the water droplet collection rate at the sensor probe based on the water droplet collection rate influence coefficient and the first mass ratio includes:

[0018] The product of the water droplet collection rate influence coefficient and the first mass ratio is determined as the water droplet collection rate at the sensor probe.

[0019] To achieve the above and other related objectives, this application provides a device for determining water droplet collection rate, comprising:

[0020] The data acquisition module is used to acquire the first liquid water content, the first water droplet velocity, the corrected inertial parameter, the sensor shape parameter, and the aggregation effect parameter; the first liquid water content is the liquid water content at the sensor probe when the icing sensor is loaded, and the first water droplet velocity is the water droplet velocity at the sensor probe when the icing sensor is loaded.

[0021] The first determining module is used to determine the influence coefficient of water droplet collection rate based on the corrected inertial parameters and sensor shape parameters;

[0022] The second determining module is used to determine a first mass ratio based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter. The first mass ratio is the ratio of the liquid water mass at the sensor probe after the icing sensor is loaded to the liquid water mass at the far-field spatial point.

[0023] The third determining module is used to determine the water droplet collection rate at the sensor probe based on the water droplet collection rate influence coefficient and the first mass ratio.

[0024] In one embodiment of this application, the second determining module includes:

[0025] The first execution unit is used to determine a second mass ratio between the mass of liquid water at the sensor probe and the mass of liquid water at a far-field spatial point when the icing sensor is not loaded, based on the first liquid water content and the first water droplet velocity.

[0026] The second execution unit is used to obtain the first mass ratio based on the corrected inertia parameter, the aggregation effect parameter, and the second mass ratio.

[0027] In one embodiment of this application, the data acquisition module includes:

[0028] The loading data acquisition unit is used to acquire the height of the icing sensor and the radius of curvature at the loading point of the icing sensor;

[0029] The parameter determination unit is used to determine the aggregation effect parameter based on the height of the icing sensor and the radius of curvature at the loading point of the icing sensor.

[0030] In one embodiment of this application, the third determining module is further configured to:

[0031] The product of the water droplet collection rate influence coefficient and the first mass ratio is determined as the water droplet collection rate at the sensor probe.

[0032] To achieve the above and other related objectives, this application also provides an electronic device, the electronic device comprising:

[0033] One or more processors;

[0034] Memory used to store the executable program code of the processor;

[0035] The processor is configured to execute the program code to implement the above-described method for determining the water droplet collection rate.

[0036] To achieve the above and other related objectives, this application also provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the above-described method for determining the water droplet collection rate.

[0037] As described above, the method, apparatus, device, and storage medium for determining water droplet collection rate provided in this application have the following beneficial effects:

[0038] This application discloses a method for determining the water droplet collection rate. This method acquires a first liquid water content, a first water droplet velocity, a corrected inertial parameter, a sensor shape parameter, and an aggregation effect parameter. Based on the corrected inertial parameter and the sensor shape parameter, it determines a water droplet collection rate influence coefficient. Based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter, it determines a first mass ratio. Finally, based on the water droplet collection rate influence coefficient and the first mass ratio, it determines the water droplet collection rate at the sensor probe. By introducing a sensor shape parameter characterizing the geometry of the icing sensor itself, it can more efficiently and accurately predict the water droplet collection rate at the sensor probe when icing sensors of different geometries and sizes are mounted at different locations on the aircraft surface. This allows for rapid acquisition of the icing sensor's icing warning capability and provides strong data support for the design of the icing sensor's size and shape, the selection of the icing sensor's mounting location, and the calibration of the icing sensor's warning value.

[0039] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0041] Figure 1 This is a flowchart illustrating a method for determining the water droplet collection rate, as shown in an exemplary embodiment of this application;

[0042] Figure 2 This is a schematic diagram of the structure of an icing sensor shown in an exemplary embodiment of this application;

[0043] Figure 3 This is an exemplary embodiment of the present application illustrating the relationship between different modified inertial parameters and the water droplet collection rate at the sensor probe;

[0044] Figure 4 This is another exemplary embodiment of the present application illustrating the relationship between different modified inertial parameters and the water droplet collection rate at the sensor probe;

[0045] Figure 5 This is a block diagram illustrating a water droplet collection rate determination device according to an exemplary embodiment of this application. Detailed Implementation

[0046] The embodiments of this application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be understood that the preferred embodiments are only for illustrating this application and are not intended to limit the scope of protection of this application.

[0047] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0048] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the present application. However, it will be apparent to those skilled in the art that embodiments of the present application may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present application.

[0049] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for determining the water droplet collection rate, as shown in an exemplary embodiment of this application. (Reference) Figure 1 It can be seen that the method for determining the water droplet collection rate may include:

[0050] Step S110: Obtain the first liquid water content, the first water droplet velocity, the corrected inertial parameters, the sensor shape parameters, and the aggregation effect parameters.

[0051] Wherein, the first liquid water content is the liquid water content at the sensor probe when the icing sensor is loaded, and the first water droplet velocity is the water droplet velocity at the sensor probe when the icing sensor is loaded.

[0052] In one embodiment of this application, the first liquid water content, first water droplet velocity, corrected inertial parameters, sensor shape parameters, and aggregation effect parameters corresponding to the operating condition to be calculated can be obtained. The sensor shape parameters can be used to characterize the influence of the shape at the icing sensor probe on the water droplet collection rate. The operating condition to be calculated may include the incoming flow velocity, water droplet size, aircraft angle of attack, etc.

[0053] In one possible implementation, the corrected inertial parameters can be determined based on the operating conditions to be calculated. The process of determining the corrected inertial parameters may include:

[0054] The inertial parameters of a water droplet can be expressed as:

[0055] ;

[0056] in, For the inertial parameters of the water droplet, For droplet density, For droplet velocity, Where is the droplet diameter, The viscosity coefficient of air. The characteristic length of the leading edge of the impactor is the diameter of the curvature of the leading edge of the icing sensor probe;

[0057] Correcting the inertial parameters of the water droplet:

[0058] ;

[0059] in, To correct the inertial parameters, It refers to the range of fall in still air at an initial velocity, given the drag provided by Stokes' Law. The range of fall under actual resistance; the dimensionless range parameter Defined as the average drag ratio during droplet motion within the Reynolds number range of 0 to Re:

[0060] ;

[0061] in, Let the Reynolds number be the number of the water droplet. The drag coefficient of the sphere;

[0062] ;

[0063] in, air velocity, air density, is the viscosity coefficient of air;

[0064] The results were obtained by fitting experimental data:

[0065] .

[0066] The water droplet collection rate at the impact stagnation point at the leading edge of the cylinder was obtained through numerical calculation. (i.e., the leading-edge peak value of the cylindrical water droplet collection rate), the corrected inertial parameters are calculated based on the incoming flow conditions. ,Establish about The relationship curve. and The relationship between them should satisfy: 1. The larger, The larger; 2. In level flight state The limits are 1 and 3. When it is 0, If it is 0, then If it is 0, then... and The relationship between them should be expressed as:

[0067] ;

[0068] in, The coefficient representing the influence of water droplet collection rate. These are the shape parameters of the sensor.

[0069] For icing sensors of different shapes, when using the water droplet collection rate determination method provided in the embodiments of this application, the corrected inertial parameters and the numerical calculation results of the water droplet collection rate corresponding to different working conditions can be obtained first, and the two can be fitted to determine the sensor shape parameters.

[0070] Please refer to Figure 2 This is a schematic diagram illustrating the structure of an icing sensor, as shown in an exemplary embodiment of this application. (For...) Figure 2 The icing sensor shown has a characteristic length L of 2 cm, and the radius of curvature at the probe can be 1 cm, 1.5 cm, 3 cm, or positive infinity (i.e.,...). Figure 2 (The plane shown). For 20-40 Numerical simulations were performed for the following parameters: median volume diameter (MVD) of the water droplets, flight velocity (v) ranging from 20 to 150 m / s, and characteristic length (L) ranging from 0.01 to 0.16 m. Other environmental conditions included an air density of 1.225 N / A. Water droplet density 1000 air viscosity 1.79E-5 By establishing a mesh model, the corrected inertial parameters and numerical calculation results of the water droplet collection rate corresponding to each operating condition are determined. The numerical calculation results of the water droplet collection rate can be used to calculate the water droplet collection rate under varying flow conditions using the Fluent UDF water droplet equation. Sensor shape parameters. The results were obtained by fitting the numerical calculations of the corrected inertia parameters and water droplet collection rate using the nonlinear fitting tool in Origin software. (For...) Figure 2 The formula for determining the influence coefficient of water droplet collection rate obtained from the fitted sensor shape shown can include:

[0071] ;

[0072] That is, for the case where the icing sensor probe is cylindrical, the sensor shape parameter can be 0.366.

[0073] In one possible implementation, the grid information around the aircraft can be determined first, and the flow field information around the aircraft can be obtained through simulation. The flow field information may include the liquid water content and droplet velocity of each grid cell node in the grid information.

[0074] According to the origin of the light ( , , Find the first spatial grid layer adjacent to the wall grid in the grid information. The height of the sensor probe Calculate the coordinates of the sensor probe. ( , , ),connect Determine the line segment In addition to the current grid cell The total number of intersections with all other grid faces on the same face. If the total number of intersections is 0, it means... Located in unit In the middle; if It intersects with another mesh face in the same cell. This indicates that the sensor will pass through the unit through this unit surface. Enter the adjacent unit .connect Continue calculating The total number of intersections with all other element faces in the current element besides those already traversed. When the number of intersections is 1, it indicates... Continue passing through the unit Arrival Unit , ... The intersection points are respectively , ... The line segment continues until it no longer intersects with the unit cell, at which point the unit cell... That is, the sensor probe. The unit in which it is located. When When a line segment crosses the boundary of a grid block connection, the boundary information is called to determine the grid cell information of the next grid block. When it crosses the far-field boundary or a pre-defined computational region, the trajectory calculation of that point ends. If it crosses the boundary of the object surface, it indicates that the design of the computational model size is incorrect and the computational grid is unreasonable, and the model and grid need to be reprocessed.

[0075] After determining the cell where the sensor probe is located, the liquid water content at the sensor probe location can be determined based on the liquid water content at each node in the cell (first liquid water content). The water droplet velocity at the sensor probe location can be determined based on the water droplet velocity at each node in the cell (first water droplet velocity). The node distances between the sensor probe location and each node in the cell can be determined using the following formula:

[0076] ;

[0077] in, The distance between nodes. Location of the icing sensor probe The coordinates of the axis, Location of the icing sensor probe The coordinates of the axis, Location of the icing sensor probe The coordinates of the axis, For the target grid's first 1 node The number of nodes in the target mesh. For the target grid's first Nodes The coordinates of the axis, For the target grid's first Nodes The coordinates of the axis, For the target grid's first Nodes The coordinates of the axis.

[0078] For example, the formula for determining the flow field information at the sensor probe can be as follows:

[0079] ;

[0080] in, This provides flow field information at the location of the sensor probe. For the first Flow field information for each node.

[0081] It should be noted that the flow field information can be the local liquid water content (first liquid water content) or the local water droplet velocity (first water droplet velocity). When the local liquid water content is... For the first The liquid water content at each node; when in When the local water droplet velocity is... For the first The speed of water droplets at each node.

[0082] Step S120: Determine the influence coefficient of water droplet collection rate based on the corrected inertial parameters and sensor shape parameters.

[0083] In one embodiment of this application, the influence coefficient of water droplet collection rate can be determined based on the modified inertial parameters and sensor shape parameters.

[0084] Specifically, the influence coefficient of the water droplet collection rate can be determined based on the modified inertial parameters and the influence coefficient determination formula. The formula for determining the influence coefficient can include:

[0085] ;

[0086] in, The coefficient representing the influence of water droplet collection rate. To correct the inertial parameters, For sensor shape parameters, this applies to cases where the sensor probe is cylindrical. It can be 0.366.

[0087] Step S130: Determine the first mass ratio based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter.

[0088] The first mass ratio is the ratio of the mass of liquid water at the sensor probe after the icing sensor is installed to the mass of liquid water at the far-field spatial point.

[0089] Step S140: Determine the water droplet collection rate at the sensor probe based on the water droplet collection rate influence coefficient and the first mass ratio.

[0090] In one embodiment of this application, the water droplet collection rate at the sensor probe can be determined based on the water droplet collection rate influence coefficient and the first mass ratio. The product of the water droplet collection rate influence coefficient and the first mass ratio can be used to determine the water droplet collection rate at the sensor probe.

[0091] For example, the water droplet collection rate at the sensor probe can be determined according to the following formula:

[0092] ;

[0093] in, The water droplet collection rate at the sensor probe. The coefficient representing the influence of water droplet collection rate. This is the first mass ratio.

[0094] In one embodiment, step S130, which determines the first mass ratio based on the first liquid water content, the first droplet velocity, the corrected inertial parameter, and the aggregation effect parameter, may include steps S131 to S133.

[0095] Step S131: Based on the first liquid water content and the first water droplet velocity, determine the second mass ratio of the liquid water mass at the sensor probe to the liquid water mass at the far-field spatial point when the icing sensor is not loaded.

[0096] In one embodiment of this application, a second mass ratio of the liquid water mass at the sensor probe to the liquid water mass at the far-field spatial point when no icing sensor is installed can be determined based on the first liquid water content and the first water droplet velocity.

[0097] In one possible implementation, it can be Defined as the dimensionless product of the liquid water content LWC at a point in space and the droplet velocity V, its physical meaning is the ratio of the mass of liquid water passing through a unit plane area perpendicular to the direction of the incoming flow per unit time to the mass of liquid water passing through the same area in the far field in the same time.

[0098] .

[0099] make This represents the second mass ratio. This represents the mass of liquid water at the sensor probe when the icing sensor is not installed. The mass of liquid water at a far-field point in space. This represents the liquid water content at the sensor probe when the icing sensor is not installed. The liquid water content at a far-field spatial point. This represents the water droplet velocity at the sensor probe when the icing sensor is not installed. The velocity of the incoming flow at the far-field spatial point is denoted as .

[0100] It should be noted that the liquid water content at the sensor probe when no icing sensor is installed, as mentioned in the embodiments of this application, can be the liquid water content at the sensor height in the liquid water content flow field information determined according to the working conditions to be calculated, based on the sensor's installation position. Similarly, the water droplet velocity at the sensor probe when no icing sensor is installed, as mentioned in the embodiments of this application, can be the water droplet velocity at the sensor height in the water droplet velocity flow field information determined according to the working conditions to be calculated, based on the sensor's installation position.

[0101] Step S132: Obtain the first mass ratio based on the corrected inertia parameter, the aggregation effect parameter, and the second mass ratio.

[0102] In one embodiment of this application, the first mass ratio can be obtained based on the modified inertial parameter, the aggregation effect parameter, and the second mass ratio.

[0103] The aggregation effect parameters can include a first parameter, a second parameter, and a third parameter:

[0104] ;

[0105] ;

[0106] ;

[0107] ;

[0108] in, As the first parameter, For the second parameter, As the third parameter, It is a natural constant. To correct the parameters, For the height of the icing sensor, The radius of curvature is the point where the icing sensor is mounted.

[0109] For example, the first mass ratio can be obtained based on the corrected inertia parameter, the aggregation effect parameter, and the second mass ratio. The formula for determining the first mass ratio may include:

[0110] ;

[0111] in, The first mass ratio, This is the second mass ratio. To correct the inertial parameters.

[0112] Please see Figure 3 This is a graph illustrating the relationship between different modified inertial parameters and the water droplet collection rate at the sensor probe, as shown in an exemplary embodiment of this application. Figure 3 In the diagram, the horizontal axis represents the corrected inertial parameter, the vertical axis represents the water droplet collection rate at the sensor probe, each dot represents the water droplet collection rate at the sensor probe calculated by the Euler method, each triangle represents the water droplet collection rate at the sensor probe obtained by the water droplet collection rate determination method provided in this application embodiment, and each square represents the water droplet collection rate at the sensor probe obtained by Fluent_UDF simulation. Figure 3 The diagram shows the relationship between the corrected inertial parameters determined according to the first incoming flow conditions and the water droplet collection rate at the sensor probe when the icing sensor is installed at position A. The water droplet collection rate at the sensor probe obtained by the water droplet collection rate determination method provided in this application embodiment is more consistent with the simulation data, and the accuracy of the obtained water droplet collection rate at the sensor probe is higher.

[0113] Please see Figure 4 This is a graph illustrating the relationship between different modified inertial parameters and the water droplet collection rate at the sensor probe, which is another exemplary embodiment of this application. Figure 4 In the diagram, the horizontal axis represents the corrected inertial parameter, the vertical axis represents the water droplet collection rate at the sensor probe, each dot represents the water droplet collection rate at the sensor probe calculated by the Euler method, each triangle represents the water droplet collection rate at the sensor probe obtained by the water droplet collection rate determination method provided in this application embodiment, and each square represents the water droplet collection rate at the sensor probe obtained by Fluent_UDF simulation. Figure 4 The diagram shows the relationship between the corrected inertial parameters determined according to the first incoming flow conditions and the water droplet collection rate at the sensor probe when the icing sensor is installed at position B. The water droplet collection rate at the sensor probe obtained by the water droplet collection rate determination method provided in this application embodiment is more consistent with the simulation data, and the accuracy of the obtained water droplet collection rate at the sensor probe is higher.

[0114] Figure 5 This is a block diagram illustrating a water droplet collection rate determination device according to an exemplary embodiment of this application. Figure 5 As shown, the exemplary water droplet collection rate determination device 500 includes:

[0115] The data acquisition module 510 is used to acquire the first liquid water content, the first water droplet velocity, the corrected inertial parameter, the sensor shape parameter, and the aggregation effect parameter; the first liquid water content is the liquid water content at the sensor probe when the icing sensor is loaded, and the first water droplet velocity is the water droplet velocity at the sensor probe when the icing sensor is loaded.

[0116] The first determining module 520 is used to determine the influence coefficient of water droplet collection rate based on the corrected inertial parameters and sensor shape parameters.

[0117] The second determining module 530 is used to determine a first mass ratio based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter. The first mass ratio is the ratio of the liquid water mass at the sensor probe after the icing sensor is installed to the liquid water mass at the far-field spatial point.

[0118] The third determining module 540 is used to determine the water droplet collection rate at the sensor probe based on the water droplet collection rate influence coefficient and the first mass ratio.

[0119] In one embodiment of this application, the second determining module includes:

[0120] The first execution unit is used to determine a second mass ratio between the mass of liquid water at the sensor probe and the mass of liquid water at a far-field spatial point when no icing sensor is loaded, based on the first liquid water content and the first water droplet velocity.

[0121] The second execution unit is used to obtain the first mass ratio based on the corrected inertial parameter, the aggregation effect parameter, and the second mass ratio.

[0122] In one embodiment of this application, the data acquisition module includes:

[0123] The loading data acquisition unit is used to acquire the height of the icing sensor and the radius of curvature at the loading point of the icing sensor;

[0124] The parameter determination unit is used to determine the aggregation effect parameters based on the height of the icing sensor and the radius of curvature at the loading point of the icing sensor.

[0125] In one embodiment of this application, the third determining module is further configured to:

[0126] The product of the water droplet collection rate influence coefficient and the first mass ratio is determined as the water droplet collection rate at the sensor probe.

[0127] It should be noted that the water droplet collection rate determination device and the water droplet collection rate determination method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the water droplet collection rate determination device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the system can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0128] Embodiments of this application also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the water droplet collection rate determination method provided in the above embodiments.

[0129] Another aspect of this application provides a computer-readable storage medium storing a computer program thereon, which, when executed by a computer's processor, causes the computer to perform the water droplet collection rate determination method provided in the various embodiments described above. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not assembled into the electronic device.

[0130] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the water droplet collection rate determination method provided in the various embodiments described above.

[0131] In the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The terms "comprising" and "including" as used throughout the specification and claims are open-ended terms and should therefore be interpreted as "comprising but not limited to".

[0132] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for determining water droplet collection rate, characterized in that, include: The system acquires the first liquid water content, the first water droplet velocity, the corrected inertial parameter, the sensor shape parameter, and the aggregation effect parameter; the first liquid water content is the liquid water content at the sensor probe when the icing sensor is loaded, and the first water droplet velocity is the water droplet velocity at the sensor probe when the icing sensor is loaded. The influence coefficient of water droplet collection rate is determined based on the modified inertial parameters and sensor shape parameters. Based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter, a first mass ratio is determined. The first mass ratio is the ratio of the liquid water mass at the sensor probe after the icing sensor is installed to the liquid water mass at the far-field spatial point. The water droplet collection rate at the sensor probe is determined based on the water droplet collection rate influence coefficient and the first mass ratio; specifically, the product of the water droplet collection rate influence coefficient and the first mass ratio is determined as the water droplet collection rate at the sensor probe. Based on the corrected inertial parameters and sensor shape parameters, the influence coefficient of water droplet collection rate is determined, including: The influence coefficient of water droplet collection rate is determined based on the corrected inertial parameters, sensor shape parameters, and the influence coefficient determination formula. The formula for determining the influence coefficient includes: ； in, The coefficient representing the influence of water droplet collection rate. To correct the inertial parameters, For sensor shape parameters; Based on the first liquid water content, the first water droplet velocity, the corrected inertia parameter, and the aggregation effect parameter, the first mass ratio is determined, including: Based on the first liquid water content and the first water droplet velocity, a second mass ratio is determined between the liquid water mass at the sensor probe and the liquid water mass at a far-field spatial point when the icing sensor is not installed, including: ； in, Indicates the second mass ratio. This represents the mass of liquid water at the sensor probe when the icing sensor is not installed. The mass of liquid water at a far-field point in space. This represents the liquid water content at the sensor probe when the icing sensor is not installed. The liquid water content at a far-field spatial point. This represents the water droplet velocity at the sensor probe when the icing sensor is not installed. The incoming flow velocity at the far-field spatial point; The first mass ratio is obtained based on the corrected inertia parameter, the aggregation effect parameter, and the second mass ratio, including: ； ； ； ； ； in, The first mass ratio, This is the second mass ratio. To correct for the inertia parameter, the clustering effect parameters include the first parameter, the second parameter, and the third parameter. As the first parameter, For the second parameter, As the third parameter, It is a natural constant. To correct the parameters, For the height of the icing sensor, The radius of curvature is the point where the icing sensor is mounted.

2. The method for determining water droplet collection rate according to claim 1, characterized in that, Obtain clustering effect parameters, including: Obtain the height of the icing sensor and the radius of curvature at the loading point of the icing sensor; The aggregation effect parameters are determined based on the height of the icing sensor and the radius of curvature at the loading point of the icing sensor.

3. A device for determining water droplet collection rate, characterized in that, include: The data acquisition module is used to acquire the first liquid water content, the first water droplet velocity, the corrected inertial parameter, the sensor shape parameter, and the aggregation effect parameter; the first liquid water content is the liquid water content at the sensor probe when the icing sensor is loaded, and the first water droplet velocity is the water droplet velocity at the sensor probe when the icing sensor is loaded. The first determining module is used to determine the influence coefficient of water droplet collection rate based on the corrected inertial parameters and sensor shape parameters; The second determining module is used to determine a first mass ratio based on the first liquid water content, the first water droplet velocity, the corrected inertial parameter, and the aggregation effect parameter. The first mass ratio is the ratio of the liquid water mass at the sensor probe after the icing sensor is loaded to the liquid water mass at the far-field spatial point. The third determining module is used to determine the water droplet collection rate at the sensor probe based on the water droplet collection rate influence coefficient and the first mass ratio. Specifically, it includes determining the water droplet collection rate at the sensor probe by multiplying the water droplet collection rate influence coefficient and the first mass ratio. The first determining module is also used for: The influence coefficient of water droplet collection rate is determined based on the corrected inertial parameters, sensor shape parameters, and the influence coefficient determination formula. The formula for determining the influence coefficient includes: ； in, The coefficient representing the influence of water droplet collection rate. To correct the inertial parameters, For sensor shape parameters; The second determining module is also used for: Based on the first liquid water content and the first water droplet velocity, a second mass ratio is determined between the liquid water mass at the sensor probe and the liquid water mass at a far-field spatial point when the icing sensor is not installed, including: ； in, Indicates the second mass ratio. This represents the mass of liquid water at the sensor probe when the icing sensor is not installed. The mass of liquid water at a far-field point in space. This represents the liquid water content at the sensor probe when the icing sensor is not installed. The liquid water content at a far-field spatial point. This represents the water droplet velocity at the sensor probe when the icing sensor is not installed. The incoming flow velocity at the far-field spatial point; The first mass ratio is obtained based on the corrected inertia parameter, the aggregation effect parameter, and the second mass ratio, including: ； ； ； ； ； in, The first mass ratio, This is the second mass ratio. To correct for the inertia parameter, the clustering effect parameters include the first parameter, the second parameter, and the third parameter. As the first parameter, For the second parameter, As the third parameter, It is a natural constant. To correct the parameters, For the height of the icing sensor, The radius of curvature is the point where the icing sensor is mounted.

4. The water droplet collection rate determination device according to claim 3, characterized in that, The data acquisition module includes: The loading data acquisition unit is used to acquire the height of the icing sensor and the radius of curvature at the loading point of the icing sensor; The parameter determination unit is used to determine the aggregation effect parameter based on the height of the icing sensor and the radius of curvature at the loading point of the icing sensor.

5. An electronic device, characterized in that, The electronic device includes: One or more processors; Memory used to store the executable program code of the processor; The processor is configured to execute the program code to implement the water droplet collection rate determination method as described in claim 1 or 2.

6. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the water droplet collection rate determination method as described in claim 1 or 2.

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