Water drop collection rate determination method and device, equipment and storage medium

Abstract

The invention provides a water drop collection rate determination method and device, equipment and a storage medium, and relates to the technical field of data simulation processing, and the method comprises the steps: determining a water drop collection rate influence coefficient based on a corrected inertial parameter and a sensor shape parameter, and determining a water drop collection rate influence coefficient based on a first liquid water content, a first water drop speed, the corrected inertial parameter and an aggregation effect parameter; and determining a first mass ratio, and determining the water drop collection rate at the sensor probe according to the water drop collection rate influence coefficient and the first mass ratio. By introducing the sensor shape parameters representing the geometrical shape of the icing sensor, the water drop collection rate at the sensor probe when the icing sensors with different geometrical shapes and different sizes are loaded at different positions on the surface of an aircraft can be predicted more efficiently and more accurately, and the icing early warning capability of the icing sensor can be quickly obtained; powerful data support is provided for the aspects of size and shape design of the icing sensor, loading position selection of the icing sensor and early warning value calibration of the icing sensor.

Description

Technical Field

[0001] The present application relates to the technical field of data simulation processing, and in particular to a method, device, equipment and storage medium for determining a water droplet collection rate. Background Art

[0002] Aircraft icing will seriously affect the overall aerodynamic performance of the aircraft and cause huge energy loss. The shedding of ice may damage the fan blades of the aircraft engine, which will directly endanger the safety of people's lives and property. The icing sensor can provide real-time icing information. When icing is detected on the aircraft surface, the icing sensor will issue an early warning, thereby effectively reducing the harm caused by icing. As the input link of the anti-icing system, the icing sensor needs to ensure that the icing rate at the sensor probe is higher than the icing rate on the aircraft surface, or the two are at least at the same order of magnitude to have icing early warning capability. The product of liquid water content and water droplet velocity is positively correlated with the wall water droplet collection rate. When the icing sensor and the icing aircraft surface are in the same icing condition, the freezing coefficient at the sensor probe and the freezing coefficient on the aircraft surface can be approximately equal. Therefore, the water droplet collection rate of the icing sensor is an important indicator to characterize its icing early warning capability. When performing the height design of the icing sensor, the loading position analysis and the early warning value calibration, it is necessary to obtain an accurate water droplet collection rate.

[0003] Theoretically, the calculation of the water droplet collection rate at the icing sensor probe requires that the sensor be installed on every aircraft surface, and the configuration with the icing sensor be meshed, the flow field calculated, and the water droplet impact characteristics calculated. The amount of calculation required for icing sensors of different geometric sizes, installed in different positions, and in different icing environments is extremely large and is completely unaffordable in actual engineering.

[0004] At present, the approximate processing method commonly used to solve this problem is to perform numerical simulation calculations of the icing process based on the aircraft configuration without loading the icing sensor. Then, according to the coordinates of different design installation positions, the physical quantities such as the liquid water content at the probe and the relative movement speed of the water droplets are obtained. The interference effect of the sensor probe is ignored, and the Euler method is used to estimate the water droplet collection rate on the probe. This processing method can quickly calculate the water droplet collection rate at the sensor probe to a certain extent and improve the calculation efficiency. However, it ignores the interference of the sensor's own geometric configuration on the water droplet movement trajectory and the water droplet collection rate after the icing sensor is loaded on the aircraft surface. There is a large deviation between the calculated water droplet collection rate and the water droplet collection rate at the sensor probe after actual loading. Summary of the invention

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

[0006] The present application provides a method for determining a water droplet collection rate, comprising: Acquire a first liquid water content, a first water droplet velocity, a corrected inertia parameter, a sensor shape parameter, and an 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; Based on the corrected inertial parameters and sensor shape parameters, the water droplet collection rate influence coefficient is determined; Determine 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, wherein the first mass ratio is a ratio of the mass of liquid water at the sensor probe after the ice sensor is loaded to the mass of liquid water at a far-field spatial point; The water droplet collection rate at the sensor probe is determined according to the water droplet collection rate influence coefficient and the first mass ratio.

[0007] In one embodiment of the present application, determining a first mass ratio based on the first liquid water content, the first water droplet velocity, a modified inertia parameter, and the aggregation effect parameter includes: Determine, based on the first liquid water content and the first water droplet velocity, a second mass ratio of the mass of liquid water at the sensor probe to the mass of liquid water at a far-field spatial point when no icing sensor is loaded; The first mass ratio is obtained according to the corrected inertia parameter, the focusing effect parameter, and the second mass ratio.

[0008] In one embodiment of the present application, obtaining the aggregation effect parameter includes: Obtain the height of the ice sensor and the curvature radius at the ice sensor loading point; The aggregation effect parameter is determined according to the height of the ice sensor and the curvature radius at the ice sensor loading point.

[0009] In one embodiment of the present application, determining the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio includes: 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.

[0010] To achieve the above objectives and other related objectives, the present application provides a device for determining a water droplet collection rate, comprising: A data acquisition module, used to acquire a first liquid water content, a first water droplet velocity, a corrected inertia parameter, a sensor shape parameter, and an 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; A first determination module is used to determine a water drop collection rate influence coefficient based on a modified inertial parameter and a sensor shape parameter; A second determination module is used to determine 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, wherein the first mass ratio is a ratio of the mass of liquid water at the sensor probe after the ice sensor is loaded to the mass of liquid water at a far-field space point; The third determination module is used to determine the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio.

[0011] In one embodiment of the present application, the second determining module includes: a first execution unit, configured to determine, based on the first liquid water content and the first water droplet velocity, a second mass ratio of the mass of the liquid water at the sensor probe to the mass of the liquid water at a far-field spatial point when no ice sensor is installed; The second execution unit is used to obtain the first mass ratio according to the corrected inertia parameter, the focusing effect parameter, and the second mass ratio.

[0012] In one embodiment of the present application, the data acquisition module includes: A loading data acquisition unit is used to acquire the height of the icing sensor and the curvature radius at the loading point of the icing sensor; A parameter determination unit is used to determine the aggregation effect parameter according to the height of the ice sensor and the curvature radius at the ice sensor loading point.

[0013] In one embodiment of the present application, the third determination module is further used for: 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.

[0014] To achieve the above objectives and other related objectives, the present application also provides an electronic device, the electronic device comprising: one or more processors; a memory for storing program code executable by the processor; Wherein, the processor is configured to execute the program code to implement the above-mentioned method for determining the water droplet collection rate.

[0015] To achieve the above-mentioned purpose and other related purposes, the present application also provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute the above-mentioned method for determining the water droplet collection rate.

[0016] As described above, the present application provides a method, device, equipment and storage medium for determining a water droplet collection rate, which has the following beneficial effects: A method for determining a water droplet collection rate in the present application obtains a first liquid water content, a first water droplet velocity, a modified inertia parameter, a sensor shape parameter, and an aggregation effect parameter, determines a water droplet collection rate influence coefficient based on the modified inertia parameter and the sensor shape parameter, determines a first mass ratio based on the first liquid water content, the first water droplet velocity, the modified inertia parameter, and the aggregation effect parameter, and determines the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio. By introducing the sensor shape parameter that characterizes the geometric shape of the icing sensor itself, the water droplet collection rate at the sensor probe can be predicted more efficiently and accurately when icing sensors of different geometric shapes and sizes are mounted at different positions on the aircraft surface, and the icing warning capability of the icing sensor can be quickly obtained, providing strong data support in the design of the size and shape of the icing sensor, the selection of the loading position of the icing sensor, and the calibration of the warning value of the icing sensor.

[0017] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings: Figure 1 is a flow chart of a method for determining a water droplet collection rate shown in an exemplary embodiment of the present application; Figure 2 is a schematic structural diagram of an ice sensor shown in an exemplary embodiment of the present application; Figure 3 is a relationship diagram of different corrected inertial parameters and water droplet collection rates at a sensor probe shown in an exemplary embodiment of the present application; Figure 4 is a relationship diagram of different corrected inertial parameters and water droplet collection rates at a sensor probe shown in another exemplary embodiment of the present application; Figure 5 It is a block diagram of a device for determining a water droplet collection rate shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0019] The following will describe the implementation methods of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementation methods, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, not for limiting the scope of protection of the present application.

[0020] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application, and thus the drawings only show components related to the present application rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed at will, and the component layout may also be more complicated.

[0021] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0022] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a method for determining a water droplet collection rate according to an exemplary embodiment of the present application. Figure 1 It can be seen that the water droplet collection rate determination method may include: Step S110, obtaining a first liquid water content, a first water droplet velocity, a corrected inertia parameter, a sensor shape parameter, and a focusing effect parameter.

[0023] 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.

[0024] In one embodiment of the present application, the first liquid water content, the first water droplet velocity, the modified inertia parameter, the sensor shape parameter, and the aggregation effect parameter corresponding to the working condition to be calculated can be obtained. The sensor shape parameter can be used to characterize the influence of the shape of the ice sensor probe on the water droplet collection rate. The working condition to be calculated may include the incoming flow velocity, the water droplet particle size, the aircraft angle of attack, etc.

[0025] In a possible implementation manner, the modified inertia parameter may be determined according to the working condition to be calculated, and the process of determining the modified inertia parameter may include: The inertial parameters of a water droplet can be expressed as: ; in, is the water droplet inertia parameter, is the droplet density, is the droplet velocity, is the droplet diameter, is the viscosity coefficient of air, is the characteristic length of the leading edge of the impact object, i.e., the curvature diameter of the leading edge of the ice sensor probe; Correct the water droplet inertia parameters: ; in, To correct the inertia parameters, is the range of fall in still air when released with an initial velocity under the drag given by Stokes' law, is the falling range under the actual resistance; the dimensionless range parameter It is defined as the average drag ratio during droplet motion in the Reynolds number range from 0 to Re: ; in, is the Reynolds number of the water drop, is the drag coefficient over the sphere; ; in, is the air velocity, is the air density, is the viscosity coefficient of air; By fitting the experimental data, we get: .

[0026] The water droplet collection rate at the stagnation point of the cylinder's leading edge is obtained by numerical calculation (i.e., the leading edge peak value of the cylindrical water droplet collection rate), and the corrected inertial parameters are calculated based on the incoming flow conditions ,Establish about relationship curve. and The relationship between them should satisfy: 1. The bigger, 2. In level flight The limit value of is 1; 3. When it is 0, If is 0, is 0. Then and The relationship between should be expressed as: ; in, is the droplet collection rate influence coefficient, is the sensor shape parameter.

[0027] For ice sensors of different shapes, when using the water droplet collection rate determination method provided in the embodiment of the present application, the corrected inertial parameters and the numerical calculation results of the ground collection rate corresponding to different working conditions can be first obtained, and the two can be fitted to determine the sensor shape parameters.

[0028] Please refer to Figure 2 , which is a schematic diagram of the structure of an ice sensor shown in an exemplary embodiment of the present application. Figure 2 The characteristic length L of the ice sensor shown is 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 For 20-40 The median volume diameter (MVD) range of the droplet size, the flight speed v range of 20-150m / s and the characteristic length L range of 0.01-0.16m were used to set numerical simulations for each working condition. The remaining environmental conditions were: air density 1.225 , water drop density 1000 , air viscosity 1.79E-5 By establishing a grid model, the modified inertia parameters and numerical calculation results of water droplet collection rate corresponding to each working condition are determined. The numerical calculation results of water droplet collection rate can be used to calculate the water droplet collection rate under variable flow conditions through the Fluent UDF water droplet equation. Sensor shape parameters The corrected inertial parameters and the water droplet collection rate were numerically calculated and fitted using the nonlinear fitting tool of the Origin software. Figure 2 For the sensor shape shown, the fitting formula for determining the water droplet collection rate influence coefficient may include: ; That is, when the ice sensor probe is cylindrical, the sensor shape parameter may be 0.366.

[0029] In a possible implementation, the grid information around the aircraft may be determined first, and then a simulation may be performed to obtain the flow field information around the aircraft. The flow field information may include the liquid water content and water droplet velocity of each grid unit node in the grid information.

[0030] Based on the starting point of the light ( , , ), find the first layer of spatial grid 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 Except for the current grid cell The total number of intersections of all other mesh faces on the same face. If the total number of intersections is 0, it means Located in unit In; if There is an intersection with another mesh surface in this element , indicating that the sensor will pass through the unit surface through the unit Entering the adjacent unit .connect , continue to calculate The total number of intersections with other unit faces in the current unit except the unit face that has been passed through. When the number of intersections is 1, it means Will continue through the unit , arrive at the unit , … The intersection points are , … , until the line segment no longer has new intersections with the unit body, at which point the unit Sensor probe The unit in which you are located. When a line segment passes through a grid block connection boundary, the connection boundary information is called to determine the grid unit information corresponding to the next grid block; when it passes through the far field boundary or the pre-set calculation area, the trajectory calculation of the point is terminated; if it passes through the object surface boundary, it means that the calculation model size design is incorrect and the calculation grid is unreasonable, and the model and grid need to be reprocessed.

[0031] After determining the unit where the sensor probe is located, the liquid water content (first liquid water content) at the sensor probe can be determined according to the liquid water content of each node in the unit where the sensor probe is located, and the water droplet velocity (first water droplet velocity) at the sensor probe can be determined according to the water droplet velocity of each node in the unit where the sensor probe is located. The node distance between the position of the sensor probe and each node in the unit where the sensor probe is located can be determined, and the formula for determining the node distance can be as follows: ; in, is the node distance, The ice sensor probe is located The coordinates of the axes, The ice sensor probe is located The coordinates of the axes, The ice sensor probe is located The coordinates of the axes, The target grid nodes, is the number of nodes in the target grid, The target grid Nodes The coordinates of the axes, The target grid Nodes The coordinates of the axes, The target grid Nodes The coordinates of the axis.

[0032] Exemplarily, the formula for determining the flow field information at the sensor probe may be as follows: ; in, is the flow field information at the location of the sensor probe, For the The flow field information of each node.

[0033] It should be noted that the flow field information may be the local liquid water content (first liquid water content) or the local water droplet velocity (first water droplet velocity). is the local liquid water content, For the The liquid water content of each node; when is the local water droplet velocity, For the The water droplet velocity at each node.

[0034] Step S120, determining the water drop collection rate influence coefficient based on the corrected inertial parameters and sensor shape parameters.

[0035] In one embodiment of the present application, the water droplet collection rate influence coefficient may be determined based on the corrected inertial parameters and the sensor shape parameters.

[0036] Specifically, the influence coefficient of the water drop collection rate may be determined according to the modified inertia parameter and the influence coefficient determination formula. The influence coefficient determination formula may include: ; in, is the droplet collection rate influence coefficient, To correct the inertia parameters, is the sensor shape parameter. For the case where the sensor probe is cylindrical, It can be 0.366.

[0037] Step S130, 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.

[0038] The first mass ratio is the ratio of the mass of liquid water at the sensor probe after the ice sensor is loaded to the mass of liquid water at a far-field spatial point.

[0039] Step S140, determining the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio.

[0040] In one embodiment of the present application, the water droplet collection rate at the sensor probe can be determined according to 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 determined as the water droplet collection rate at the sensor probe.

[0041] Exemplarily, the water droplet collection rate at the sensor probe can be determined according to the following formula: ; in, is the water droplet collection rate at the sensor probe, is the droplet collection rate influence coefficient, is the first mass ratio.

[0042] In one embodiment, the process of determining the first mass ratio in step S130 based on the first liquid water content, the first water droplet velocity, the corrected inertia parameter, and the aggregation effect parameter may include steps S131 to S133.

[0043] Step S131, based on the first liquid water content and the first water droplet velocity, determining a second mass ratio of the liquid water mass at the sensor probe when no ice sensor is installed to the liquid water mass at the far-field spatial point.

[0044] In one embodiment of the present application, a second mass ratio of the liquid water mass at the sensor probe to the liquid water mass at a far-field spatial point when no ice sensor is loaded may be determined based on the first liquid water content and the first water droplet velocity.

[0045] In a possible implementation, It is defined as the product of the liquid water content LWC at a certain point in space and the dimensionless velocity of the water droplet V. Its physical meaning is the ratio of the mass of liquid water passing through a unit plane area in space perpendicular to the incoming flow direction per unit time to the mass of liquid water passing through the same area in the far field at the same time.

[0046] .

[0047] make represents the second mass ratio, is the mass of liquid water at the sensor probe when the ice sensor is not installed, is the mass of liquid water at the far-field spatial point, is the liquid water content at the sensor probe when the ice sensor is not installed. is the liquid water content at the far-field spatial point, is the water droplet velocity at the sensor probe when no ice sensor is installed, is the incoming flow velocity at the far-field spatial point.

[0048] It should be noted that the liquid water content at the sensor probe when the icing sensor is not installed in the embodiment of the present application may be the liquid water content at the sensor height in the liquid water content flow field information determined according to the working condition to be calculated based on the installation position of the sensor. The water droplet velocity at the sensor probe when the icing sensor is not installed in the embodiment of the present application may be the water droplet velocity at the sensor height in the water droplet velocity flow field information determined according to the working condition to be calculated based on the installation position of the sensor.

[0049] Step S132, obtaining a first mass ratio according to the corrected inertia parameter, the focusing effect parameter, and the second mass ratio.

[0050] In one embodiment of the present application, the first mass ratio may be obtained according to the modified inertia parameter, the aggregation effect parameter, and the second mass ratio.

[0051] The aggregation effect parameters may include a first parameter, a second parameter, and a third parameter: ; ; ; ; in, is the first parameter, is the second parameter, is the third parameter, is a natural constant, To correct the parameters, is the ice sensor height, is the radius of curvature at the ice sensor mounting point.

[0052] Exemplarily, the first mass ratio may be obtained according to the modified inertia parameter, the aggregation effect parameter, and the second mass ratio. The first mass ratio determination formula may include: ; in, is the first mass ratio, is the second mass ratio, To correct the inertia parameters.

[0053] See also Figure 3 , which is a relationship diagram of different corrected inertial parameters and water droplet collection rate at the sensor probe shown in an exemplary embodiment of the present application. Figure 3 In the figure, 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 of the sensor probe obtained by the water droplet collection rate determination method provided in the embodiment of the present application, and each square represents the water droplet collection rate at the sensor probe obtained by Fluent_UDF simulation. Figure 3 The figure shows the relationship between the corrected inertial parameters determined according to the first incoming flow condition and the water droplet collection rate at the sensor probe when the ice sensor is installed at position A, wherein the water droplet collection rate at the sensor probe obtained by the water droplet collection rate determination method provided in the embodiment of the present application is more consistent with the simulation data, and the obtained water droplet collection rate at the sensor probe is more accurate.

[0054] See also Figure 4 , which is a relationship diagram of different corrected inertial parameters and water droplet collection rate at the sensor probe shown in another exemplary embodiment of the present application. Figure 4 In the figure, 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 of the sensor probe obtained by the water droplet collection rate determination method provided in the embodiment of the present application, and each square represents the water droplet collection rate at the sensor probe obtained by Fluent_UDF simulation. Figure 4 The figure shows the relationship between the corrected inertial parameters determined according to the first incoming flow condition and the water droplet collection rate at the sensor probe when the ice sensor is installed at position B, wherein the water droplet collection rate at the sensor probe obtained by the water droplet collection rate determination method provided in the embodiment of the present application is more consistent with the simulation data, and the obtained water droplet collection rate at the sensor probe is more accurate.

[0055] Figure 5 FIG. 1 is a block diagram of a device for determining a water droplet collection rate according to an exemplary embodiment of the present application. Figure 5As shown, the exemplary water droplet collection rate determining device 500 includes: The data acquisition module 510 is used to obtain a first liquid water content, a first water droplet velocity, a corrected inertia parameter, a sensor shape parameter, and an 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.

[0056] The first determination module 520 is used to determine the water drop collection rate influence coefficient based on the corrected inertial parameters and the sensor shape parameters.

[0057] The second determination module 530 is used to determine 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. The first mass ratio is the ratio of the liquid water mass at the sensor probe after the ice sensor is loaded to the liquid water mass at the far-field space point.

[0058] The third determination module 540 is used to determine the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio.

[0059] In one embodiment of the present application, the second determination module includes: A first execution unit is used to determine a second mass ratio of the mass of liquid water at the sensor probe to the mass of liquid water at a far-field spatial point when no ice sensor is installed based on the first liquid water content and the first water droplet velocity; The second execution unit is used to obtain the first mass ratio according to the corrected inertia parameter, the gathering effect parameter, and the second mass ratio.

[0060] In one embodiment of the present application, the data acquisition module includes: A loading data acquisition unit is used to acquire the height of the icing sensor and the curvature radius at the loading point of the icing sensor; The parameter determination unit is used to determine the aggregation effect parameter according to the height of the ice sensor and the curvature radius at the ice sensor loading point.

[0061] In one embodiment of the present application, the third determination module is further used to: 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.

[0062] It should be noted that the water drop collection rate determination device provided in the above embodiment and the water drop collection rate determination method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In practical applications, the water drop collection rate determination device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0063] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by one or more processors, the electronic device implements the water drop collection rate determination method provided in the above-mentioned embodiments.

[0064] Another aspect of the present application further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor of a computer, the computer executes the water drop collection rate determination method provided in the above embodiments. The computer-readable storage medium may be included in the electronic device described in the above embodiments, or may exist independently without being assembled into the electronic device.

[0065] Another aspect of the present application also provides a computer program product or a computer program, the computer program product or the computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the water drop collection rate determination method provided in each of the above embodiments.

[0066] In the embodiments of the present application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. "Including" and "comprising" mentioned throughout the specification and claims are open-ended terms and should be interpreted as "including but not limited to".

[0067] The above embodiments are merely illustrative of the principles and effects of the present application, and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. A method for determining a water droplet collection rate, characterized in that: include: Acquire a first liquid water content, a first water droplet velocity, a corrected inertia parameter, a sensor shape parameter, and an 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; Based on the corrected inertial parameters and sensor shape parameters, the water droplet collection rate influence coefficient is determined; Determine 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, wherein the first mass ratio is a ratio of the mass of liquid water at the sensor probe after the ice sensor is loaded to the mass of liquid water at a far-field spatial point; The water droplet collection rate at the sensor probe is determined according to the water droplet collection rate influence coefficient and the first mass ratio.

2. The method for determining the water droplet collection rate according to claim 1, characterized in that: Determining a first mass ratio based on the first liquid water content, the first water droplet velocity, a modified inertia parameter, and the aggregation effect parameter includes: Determine, based on the first liquid water content and the first water droplet velocity, a second mass ratio of the mass of liquid water at the sensor probe to the mass of liquid water at a far-field spatial point when no icing sensor is loaded; The first mass ratio is obtained according to the corrected inertia parameter, the focusing effect parameter, and the second mass ratio.

3. The method for determining the water droplet collection rate according to claim 1, characterized in that: Get aggregation effect parameters, including: Obtain the height of the ice sensor and the curvature radius at the ice sensor loading point; The aggregation effect parameter is determined according to the height of the ice sensor and the curvature radius at the ice sensor loading point.

4. The method for determining the water droplet collection rate according to claim 1, characterized in that: Determining the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio includes: 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.

5. A device for determining a water droplet collection rate, characterized in that: include: A data acquisition module, used to acquire a first liquid water content, a first water droplet velocity, a corrected inertia parameter, a sensor shape parameter, and an 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; A first determination module is used to determine a water drop collection rate influence coefficient based on a modified inertial parameter and a sensor shape parameter; A second determination module is used to determine 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, wherein the first mass ratio is a ratio of the mass of liquid water at the sensor probe after the ice sensor is loaded to the mass of liquid water at a far-field space point; The third determination module is used to determine the water droplet collection rate at the sensor probe according to the water droplet collection rate influence coefficient and the first mass ratio.

6. The device for determining a water droplet collection rate according to claim 5, characterized in that: The second determination module includes: a first execution unit, configured to determine, based on the first liquid water content and the first water droplet velocity, a second mass ratio of the mass of the liquid water at the sensor probe to the mass of the liquid water at a far-field spatial point when no ice sensor is installed; The second execution unit is used to obtain the first mass ratio according to the corrected inertia parameter, the focusing effect parameter, and the second mass ratio.

7. The device for determining a water droplet collection rate according to claim 5, characterized in that: The data acquisition module includes: A loading data acquisition unit is used to acquire the height of the icing sensor and the curvature radius at the loading point of the icing sensor; A parameter determination unit is used to determine the aggregation effect parameter according to the height of the ice sensor and the curvature radius at the ice sensor loading point.

8. The device for determining a water droplet collection rate according to claim 5, characterized in that: The third determination module is also used for: 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.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; a memory for storing program code executable by the processor; The processor is configured to execute the program code to implement the method for determining the water drop collection rate according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method for determining a water droplet collection rate as described in any one of claims 1 to 4.

Images