Sensor installation position determination method and device, equipment and storage medium
By determining the probe drop collection rate and sensitivity factors under multiple operating conditions on the aircraft, and combining weighted adjustment parameters to determine the suitability of the installation position of the icing sensor, the problems of low efficiency and poor accuracy in the prior art are solved, and the problems of low efficiency and poor accuracy are improved. Flight safety and early warning system stability.
Patent Information
- Application Number
- CN202411763489.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-02-21
AI Technical Summary
The prior art is inefficient and poorly accurate when determining the installation location of the aircraft icing sensor, resulting in missed or false alarms, affecting flight safety.
By obtaining the probe droplet collection rate under multiple different operating conditions, determining the sensitive factor, and weighting the sensitive factor based on the weighted adjustment parameters, obtaining a comprehensive sensitivity value, and determining whether the target installation position is suitable for installing the icing sensor.
It improves the reliability of the installation position of the icing sensor, reduces the occurrence of false alarms and missed alarms, and enhances the flight safety and stability of the early warning system.
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Figure CN119489929A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of aircraft icing detection, and in particular to a sensor installation position determination method, device, equipment and storage medium. Background Art
[0002] When an aircraft flies in clouds containing supercooled water droplets, icing is prone to occur, which will seriously endanger the flight safety of the aircraft. The icing sensor can monitor the icing situation on the aircraft surface in real time and issue an alarm when the ice accumulation reaches the warning value. It is the input link of the anti-icing system.
[0003] When the icing sensor is monitoring, the supercooled water droplets will move with the air. Affected by the circumferential flow, the distribution of water droplets in the flow field around the aircraft is spatially non-uniform, and water droplet shielding areas and water droplet aggregation areas appear in sequence near the aircraft wall. The water droplet collection rate at the icing sensor probe is an important indicator of its icing warning capability. The water droplet collection rate at the sensor probe must be greater than the water droplet collection rate at the position with the fastest icing rate on the aircraft surface to have the function of icing warning. If the sensor probe is in a widely existing water-free area near the aircraft wall, the water droplet collection rate of the sensor probe approaches 0, and missed reports may occur, that is, the aircraft surface has iced but the sensor has not warned the pilot; while in an area at a certain distance from the wall, the water droplet volume fraction is much higher than the surrounding flow field, and the water droplet collection rate of the probe located in this area is always in an extremely high state. If the sensor probe is always monitoring icing in this area, it is very likely that the aircraft has not yet frozen but the ice layer on the sensor probe has reached the warning standard. At this time, it will be meaningless to turn on the de-icing system and it will interfere with the pilot's operation. Therefore, the installation position of the icing sensor will directly affect the effectiveness of the sensor warning.
[0004] The icing sensors installed on the aircraft surface need to ensure that they have an icing warning effect under all working conditions. In order to obtain a sensor loading position with good icing sensitivity under all working conditions, it is theoretically necessary to load the icing sensors on all suitable positions on the aircraft surface, perform grid division, numerical simulation calculations of the air flow field and water droplet flow field under various working conditions, and judge the icing sensitivity of the sensor installed at the position. The number of grids for each sensor-aircraft configuration reaches tens of millions, and the amount of calculation required to arrange and combine them with the working conditions is difficult to bear in engineering.
[0005] The analysis of the installation position of icing sensors currently used in engineering is mainly based on the spatial distribution of the water droplet volume fraction of the aircraft configuration without icing sensors installed. Based on experience, a certain number of sections are selected in the direction perpendicular to the axial direction of the nose, and six proposed installation points are selected along the circumferential position of each section. The spatial coordinates of the probe are obtained by manual calculation based on the coordinates of the proposed installation points and the height of the sensor. The flow field information of this position is obtained from the post-processing software, and the water droplet collection rate at the sensor probe is calculated using the Euler method. The position where the water droplet collection rate at the probe is greater than the maximum water droplet collection rate of the wing under various working conditions is selected as the installation position of the icing sensor. Compared with the traditional method, this method is greatly simplified and does not require the sensors to be mounted on the aircraft surface for calculation. However, in the analysis process, the selection of sections and proposed installation points depends greatly on the experience of researchers, with poor accuracy and extremely low efficiency. Summary of the invention
[0006] The present application provides a sensor installation position determination method, device, equipment and storage medium, which can improve the reliability of the icing sensor installation position.
[0007] The present application provides a method for determining a sensor installation position, comprising: Obtaining a probe water droplet collection rate and a water droplet collection rate on the surface of the aircraft at a target installation position of the icing sensor under multiple different working conditions, wherein the probe water droplet collection rate is a water droplet collection rate at a probe of the icing sensor; determining a sensitivity factor based on a probe water droplet collection rate and a maximum water droplet collection rate, the maximum water droplet collection rate being the maximum value among water droplet collection rates on the aircraft surface, the sensitivity factor characterizing an early warning icing capability at the probe; Determine multiple groups of weighted weights based on different weighted adjustment parameters and sensitive factors of multiple different working conditions; The sensitive factors of multiple different working conditions are weighted according to the weights of each group to obtain multiple comprehensive sensitivity values; When all comprehensive sensitivity values are greater than or equal to 1, it is determined that the target installation position is suitable for installing an icing sensor; When any comprehensive sensitivity value is less than 1, it is determined that the target installation position is not suitable for installing an icing sensor.
[0008] In one embodiment of the present application, the probe water droplet collection rate of the target installation position of the ice sensor under multiple different working conditions is obtained, including: Acquiring flow field information of multiple different working conditions, the height of the icing sensor, grid information, and the target installation position of the icing sensor, wherein the grid information includes obtaining multiple tetrahedral grid units by gridding the external flow field of the three-dimensional structure model of the aircraft; Determine a target grid unit based on the height of the ice sensor, the target installation position of the ice sensor, and the grid information, wherein the target grid unit is a tetrahedral grid unit where the probe is located when the ice sensor is installed at the target installation position; Based on the flow field information of each working condition and the target grid, the flow field information at the sensor probe corresponding to each working condition is determined; The probe water droplet collection rate corresponding to each working condition is determined according to the flow field information at the sensor probe corresponding to each working condition.
[0009] In one embodiment of the present application, based on the flow field information of each working condition and the target grid, the flow field information at the sensor probe corresponding to each working condition is determined, including: Determine the node distance between the location of the ice sensor probe and each node of the target grid; Based on the distance between each node and the flow field information of each node, the flow field information at the sensor probe corresponding to each working condition is determined.
[0010] In one embodiment of the present application, based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information, determining the target grid unit includes: Determine the grid centroid of the installation grid based on the target installation position and grid information of the icing sensor; Determine the sensor probe position according to the coordinates of the grid centroid and the height of the icing sensor; The centroid of the grid is determined as the starting point, the position of the sensor probe is determined as the ending point, and a grid determination step is performed, wherein the grid determination step includes: determining adjacent grids adjacent to the starting point in the grid information, and determining the number of intersections between the target line segment and the adjacent grids except the starting point; the two endpoints of the target line segment are the starting point and the ending point respectively; If the number of intersections is 0, the adjacent grid is determined as the target grid unit; if the number of intersections is 1, the intersection is determined as the starting point and the grid determination step is repeated.
[0011] In one embodiment of the present application, the flow field information includes a water drop volume fraction and a water drop velocity, and the probe water drop collection rate corresponding to each working condition is determined according to the flow field information at the sensor probe corresponding to each working condition, including: The probe water droplet collection rate is determined according to the far-field water droplet volume fraction, the far-field water droplet velocity, the unit normal vector of the water droplet impacting the wall, the water droplet volume fraction at the sensor probe, and the water droplet velocity at the sensor probe.
[0012] To achieve the above-mentioned purpose and other related purposes, the present application provides a sensor installation position determination device, comprising: A data acquisition module is used to obtain the probe water droplet collection rate and the water droplet collection rate on the aircraft surface at the target installation position of the icing sensor under multiple different working conditions, wherein the probe water droplet collection rate is the water droplet collection rate at the icing sensor probe; A first determination module is used to determine a sensitivity factor based on the probe water droplet collection rate and a maximum water droplet collection rate, wherein the maximum water droplet collection rate is the maximum value of the water droplet collection rates on the aircraft surface, and the sensitivity factor represents the early warning icing capability at the probe; A second determination module is used to determine multiple groups of weighted weights based on different weighted adjustment parameters and sensitivity factors of multiple different working conditions; A third determination module is used to weight the sensitivity factors of multiple different working conditions according to each group of weighted weights to obtain multiple comprehensive sensitivity values; A fourth determination module, configured to determine that the target installation position is suitable for installing an icing sensor when all comprehensive sensitivity values are greater than or equal to 1; The fifth determination module is used to determine that the target installation position is not suitable for installing an icing sensor when any comprehensive sensitivity value is less than 1.
[0013] In one embodiment of the present application, the data acquisition module includes: A data acquisition unit, used to acquire flow field information of multiple different working conditions, the height of the icing sensor, grid information, and the target installation position of the icing sensor, wherein the grid information includes a plurality of tetrahedral grid units obtained by gridding the external flow field of the three-dimensional structure model of the aircraft; A grid determination unit, configured to determine a target grid unit based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information, wherein the target grid unit is a tetrahedral grid unit where a probe is located when the icing sensor is installed at the target installation position; An information determination unit, used to determine the flow field information at the sensor probe corresponding to each working condition based on the flow field information of each working condition and the target grid; The collection rate determination unit is used to determine the probe water droplet collection rate corresponding to each working condition according to the flow field information at the sensor probe corresponding to each working condition.
[0014] In one embodiment of the present application, the information determination unit is further configured to: Determine the node distance between the location of the ice sensor probe and each node of the target grid; Based on the distance between each node and the flow field information of each node, the flow field information at the sensor probe corresponding to each working condition is determined.
[0015] 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 sensor installation position determination method.
[0016] 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 sensor installation position determination method.
[0017] As described above, the sensor installation position determination method, device, equipment and storage medium provided by the present application have the following beneficial effects: A method for determining the installation position of a sensor in the present application determines the sensitivity factor of each working condition according to the probe water droplet collection rate of the installation position of the ice sensor under multiple different working conditions, and obtains multiple comprehensive sensitivity values after weighting the sensitivity factors based on different weighted weights, and judges each comprehensive sensitivity value to determine whether the target installation position is suitable for installing the ice sensor. It can ensure that the installation position of the ice sensor is the place where the sensor performance can be best exerted. Using this method for judgment not only helps to improve the warning efficiency, but also reduces false alarms or missed alarms caused by improper location. When all comprehensive sensitivity values are greater than or equal to 1, the target installation position has a good warning ability for ice, which can effectively improve the stability and reliability of the entire warning system, and reduce maintenance costs and potential safety risks. The selection of the installation position of the sensor is more reliable, and each installation position obtained has a more accurate ice warning effect under various working conditions, which can improve the reliability of the installation position of the ice sensor.
[0018] 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
[0019] 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 sensor installation position shown in an exemplary embodiment of the present application; Figure 2 is a schematic diagram of the distribution of sensitivity factors and comprehensive sensitivity values of a target installation position shown in an exemplary embodiment of the present application; Figure 3It is a structural block diagram of a sensor installation position determination device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION
[0020] 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.
[0021] 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.
[0022] 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.
[0023] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of a method for determining a sensor installation position according to an exemplary embodiment of the present application. Figure 1 It can be seen that the method for determining the sensor installation position may include: Step S110, obtaining the probe water droplet collection rate and the aircraft surface water droplet collection rate of the target installation position of the icing sensor under multiple different working conditions.
[0024] The probe water droplet collection rate is the water droplet collection rate at the ice sensor probe.
[0025] In one embodiment of the present application, the probe water droplet collection rate and the aircraft surface water droplet collection rate of the target installation position of the icing sensor under multiple different working conditions can be obtained. The aircraft can be a commercial passenger aircraft, a military aircraft, etc. The water droplet collection rate on the aircraft surface is an important parameter, especially when studying the icing phenomenon of the aircraft and designing an anti-icing system. The water droplet collection rate (also known as the water droplet impact rate) refers to the mass of water droplets that hit the unit area of the aircraft surface per unit time. There are significant differences in the water droplet collection rate at various locations on the aircraft surface. The leading edge of the wing is the part most susceptible to water droplet impact, and the water droplet collection rate on the fuselage surface is relatively low. Designers can set multiple different working conditions. The execution device can determine any position on the aircraft surface as the target installation position. In specific implementation, the aircraft surface can be divided according to a preset division method to obtain multiple installation positions and each installation position can correspond to a number. Each installation position can be determined as the target installation position in sequence according to a preset selection order. Each working condition can include water droplet velocity, average water droplet particle size, angle of attack and ambient temperature. The water droplet collection rate on the aircraft surface corresponding to different working conditions is different, and the water droplet collection rate of the probe under different working conditions is also different.
[0026] In a possible implementation manner, the water droplet collection rate of the probe may be determined by using the Euler method according to the flow field information.
[0027] Step S120: determining a sensitivity factor based on the probe water droplet collection rate and the maximum water droplet collection rate.
[0028] Among them, the maximum droplet collection rate is the maximum value of the droplet collection rate on the aircraft surface, and the sensitivity factor represents the early warning icing capability at the probe.
[0029] In one embodiment of the present application, the ratio of the probe water droplet collection rate and the maximum water droplet collection rate under the same working condition can be determined as a sensitivity factor. If the sensitivity factor is greater than or equal to 1, it means that when the sensor is loaded to the position under the working condition, the water droplet collection rate at the probe is greater than or equal to the maximum water droplet collection rate, and the probe will freeze at the same time as the wing, or freeze a period of time earlier than the wing; when the sensitivity factor value is less than 1, it means that under the working condition, the ice sensor probe freezes later than the wing and does not have an ice warning function.
[0030] It should be noted that the maximum water droplet collection rate in the embodiment of the present application may be the maximum water droplet collection rate of the wing tip leading edge.
[0031] Exemplarily, the calculation formula of the sensitivity factor can be as follows: ; in, For the Under the working condition, the probe of the ice sensor is located at Sensitivity factor of the installation position.
[0032] It should be noted that after determining the target installation location, the number of the target installation location can be obtained, that is, The numerical value of .
[0033] Step S130, determining multiple groups of weighted weights based on different weighted adjustment parameters and sensitivity factors of multiple different working conditions.
[0034] In one embodiment of the present application, multiple groups of weighted weights can be determined based on different weighted adjustment parameters and sensitive factors of multiple different working conditions. A weighted adjustment parameter and a sensitive factor can determine a weighted weight, and each group of weighted weights includes multiple weighted weights determined by the same weighted adjustment parameter and sensitive factors of multiple different working conditions, and the weighted adjustment parameters corresponding to each group of weighted weights are different. When the ice sensor is installed at the target installation position, a weighted weight can be determined based on the same weighted adjustment parameter and the sensitive factor of any working condition, and the weighted weights of all working conditions constitute a group of weighted weights. Different weighted adjustment parameters can determine different groups of weighted weights.
[0035] Exemplarily, the formula for determining the weighted weight may be as follows: ; in, For the Under the working condition, the probe of the ice sensor is located at The weight of the installation location, is the weighted adjustment parameter.
[0036] It should be noted that the main purpose of setting weighted weights is to reduce the weight of the sensitivity factor as the sensitivity factor increases, thereby increasing the impact of working conditions with smaller sensitivity factors on the comprehensive sensitivity value of the node.
[0037] Exemplarily, the weighted adjustment parameter may be a value such as 4, 6, or 7, and the weighted adjustment parameter may be set by a designer according to actual conditions.
[0038] Step S140 , weighting the sensitivity factors of multiple different working conditions according to each group of weighted weights to obtain multiple comprehensive sensitivity values.
[0039] In one embodiment of the present application, the sensitivity factors of multiple different working conditions can be weighted according to each group of weighted weights to obtain multiple comprehensive sensitivity values. A comprehensive sensitivity value can be obtained according to each group of weighted weights and the sensitivity factors of multiple different working conditions.
[0040] Exemplarily, the formula for determining the comprehensive sensitivity value may be as follows: ; in, is the number of operating conditions, For the Since there are multiple weighted adjustment parameters, multiple comprehensive sensitivity values can be obtained.
[0041] It should be noted that the target installation position cannot be excluded from the proposed installation area through a simple averaging algorithm. However, through the comprehensive sensitivity factor provided in the embodiment of the present application, as the weighted adjustment parameter P increases, the comprehensive sensitivity factor gradually approaches the minimum sensitivity factor value under each working condition. The comprehensive sensitivity value can exclude node positions that do not have an icing warning function under certain specific working conditions, thereby providing protection for the safe flight of the aircraft.
[0042] Step S150: When all comprehensive sensitivity values are greater than or equal to 1, it is determined that the target installation position is suitable for installing an icing sensor.
[0043] In one embodiment of the present application, when all comprehensive sensitivity values are greater than or equal to 1, it can be determined that the target installation location is suitable for installing an icing sensor.
[0044] Exemplarily, when the execution device executes the sensor installation position determination method provided in the embodiment of the present application, the execution device can determine the first prompt information based on the result that the target installation position is suitable for installing an icing sensor, and send the first prompt information to the user terminal for display. The user terminal can be the terminal corresponding to the designer, and the first prompt information can be "The target installation position is suitable for installing an icing sensor."
[0045] Step S160: When any comprehensive sensitivity value is less than 1, it is determined that the target installation location is not suitable for installing an icing sensor.
[0046] In one embodiment of the present application, when any comprehensive sensitivity value is less than 1, it can be determined that the target installation location is not suitable for installing an icing sensor.
[0047] Exemplarily, when the execution device executes the sensor installation position determination method provided in the embodiment of the present application, the execution device can determine the second prompt information based on the result that the target installation position is suitable for installing the icing sensor, and send the second prompt information to the user terminal for display. The user terminal can be the terminal corresponding to the designer, and the second prompt information can be "The target installation position is not suitable for installing the icing sensor."
[0048] In one embodiment, the process of obtaining the probe water droplet collection rate of the target installation position of the ice sensor under multiple different working conditions in step S110 may include steps S111 to S114.
[0049] Step S111, obtaining flow field information of multiple different working conditions, the height of the icing sensor, grid information, and the target installation position of the icing sensor.
[0050] The grid information includes a plurality of tetrahedral grid units obtained by gridding the external flow field of the three-dimensional structure model of the aircraft. The flow field information may include water droplet velocity and water droplet volume fraction.
[0051] In one embodiment of the present application, each working condition corresponds to a flow field information, and when the flow field information is obtained, no icing sensor is installed on the aircraft. A geometric model of the aircraft can be established first, and a grid generation tool can be used to define parameters such as grid size to divide the grid. The grid information may include the relationship between each layer of grids, the coordinates of each grid node, etc. After determining the grid information, any point in the space around the aircraft (grid node) has flow field information. For the space around the aircraft, the set of flow field information of all points can be the spatial distribution of velocity field and water droplet volume fraction. The velocity field can refer to the velocity vector distribution of each point in the fluid. The velocity field can describe the flow direction and rate of the fluid.
[0052] Step S112, determining a target grid unit based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information.
[0053] The target grid unit is a tetrahedral grid unit where the probe is located when the icing sensor is installed at the target installation position.
[0054] In one embodiment of the present application, the target grid unit where the ice sensor probe is located can be determined based on the height of the ice sensor, the target installation position of the ice sensor, and grid information.
[0055] In a possible implementation, the process of determining the target grid unit in step S112 based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information may include steps S1121 to S1124.
[0056] Step S1121, determining the grid centroid of the installation grid based on the target installation position and grid information of the icing sensor.
[0057] It should be noted that the installation grid is a wall grid on the surface of the aircraft where the icing sensor is installed.
[0058] Step S1122, determining the sensor probe position according to the coordinates of the grid centroid and the height of the icing sensor.
[0059] Step S1123, determine the grid centroid as the starting point, determine the sensor probe position as the end point, and execute the grid determination step, which includes: determining the adjacent grids adjacent to the starting point in the grid information, determining the number of intersections between the target line segment and the adjacent grids except the starting point; the two endpoints of the target line segment are the starting point and the end point respectively.
[0060] Step S1124, if the number of intersections is 0, the adjacent grid is determined as the target grid unit; if the number of intersections is 1, the intersection is determined as the starting point and the grid determination step is repeated.
[0061] For example, according to the starting point of the light ( , , ), find the first layer of spatial grid adjacent to the wall grid in the grid information (that is, the grid file) . 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.
[0062] In another possible implementation, the process of determining the target grid unit may include: Step 1: Read in the grid information and flow field information, and calculate the centroid of the jth wall grid and the normal vector at the centroid ; Step 2: Through the centroid Height from sensor Calculate the coordinates of the sensor probe location ; Step 3: Find the first layer grid number near the wall according to the adjacent grid information, and calculate the normal vector in sequence Intersection points with all faces of the mesh , determine the intersection Is it within the mesh surface (each node of each mesh surface is respectively related to Connect, add the angles between two adjacent line segments in sequence, if the sum is not equal to 360 degrees, then the intersection Outside this grid surface, if it is equal to 360 degrees, it means that the point is located in this grid surface); Step 4: Calculate the sum of all the intersections between the normal vector and the grid surface. If the number of intersections is an odd number, it means that the unit is the target unit; if the number of intersections is an even number, it means that the normal vector passes through the unit to the next unit; Repeat steps 3 and 4 until there is an intersection. Not in line segment If the unit is within the range of Located somewhere within the unit.
[0063] Step S113, based on the flow field information of each working condition and the target grid, determine the flow field information at the sensor probe corresponding to each working condition.
[0064] In one embodiment of the present application, the flow field information at the sensor probe corresponding to each working condition can be determined based on the flow field information of each working condition and the target grid. The flow field information can include the water drop volume fraction and the water drop velocity.
[0065] In one possible implementation, the process of determining the flow field information at the sensor probe corresponding to each working condition based on each flow field information and the target grid may include: determining the node distance between the location of the icing sensor probe and each node of the target grid; and determining the flow field information at the sensor probe corresponding to each working condition based on each node distance and the flow field information of each node.
[0066] Exemplarily, the formula for determining the node distance may 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.
[0067] Exemplarily, the formula for determining the flow field information may be as follows: ; in, is the flow field information at the sensor probe, For the The flow field information of each node.
[0068] It should be noted that It can be the water drop volume fraction or the water drop velocity. When is the water drop volume fraction at the sensor probe, For the The water drop volume fraction of each node; when When is the water droplet velocity at the sensor probe, For the The water droplet velocity at each node.
[0069] Step S114, determining the probe water droplet collection rate corresponding to each working condition according to the flow field information at the sensor probe corresponding to each working condition.
[0070] In one embodiment of the present application, the probe water droplet collection rate may be determined based on flow field information.
[0071] In a possible implementation, the probe water droplet collection rate can be determined based on the far-field water droplet volume fraction, the far-field water droplet velocity, the unit normal vector of the water droplet impacting the wall, the water droplet volume fraction at the sensor probe, and the water droplet velocity at the sensor probe.
[0072] Exemplarily, the formula for determining the probe water droplet collection rate can be as follows: ; ; in, is the far-field droplet volume fraction, is the far-field water droplet velocity, is the unit normal vector of the wall where the water droplet is expected to hit, is the water drop volume fraction at the sensor probe, is the water droplet velocity at the sensor probe, is the liquid water content, is the water droplet density.
[0073] For example, see Figure 2 , which is a schematic diagram of the distribution of the sensitivity factors and comprehensive sensitivity values of the target installation position shown in an exemplary embodiment of the present application. Figure 2 In the figure, each solid circle represents a sensitive factor , the horizontal axis represents the working condition, and the vertical axis represents the value of the sensitivity factor. At the target installation location, the sensitivity factor is distributed between 0.39 and 2.53, indicating that under most working conditions, the icing sensor installed at this location has an icing warning function, but there are still some working conditions where the sensitivity factor value is as low as below 0.5, indicating that the sensor does not have an icing warning function under this working condition. The average sensitivity factor value (i.e., average) of each working condition of this node is 1.756. The node cannot be excluded from the proposed installation area through a simple average algorithm. However, through the weight distribution algorithm, as the parameter P increases, the node's comprehensive sensitivity value gradually approaches the lowest sensitivity factor value under each working condition. When P=4, the node's comprehensive sensitivity value is 0.51, and when P=7.8, the node's comprehensive sensitivity value is 0.44, which is much less than 1, and the target installation location can be excluded from the proposed installation area.
[0074] Figure 3 FIG. 1 is a block diagram of a sensor installation position determination device shown in an exemplary embodiment of the present application. Figure 3 As shown, the exemplary sensor installation position determination device 300 includes: The data acquisition module 310 is used to obtain the probe water droplet collection rate of the target installation position of the icing sensor and the water droplet collection rate on the aircraft surface under multiple different working conditions. The probe water droplet collection rate is the water droplet collection rate at the icing sensor probe.
[0075] The first determination module 320 is used to determine a sensitivity factor based on the probe water droplet collection rate and the maximum water droplet collection rate. The maximum water droplet collection rate is the maximum value of the water droplet collection rate on the aircraft surface. The sensitivity factor represents the early warning icing capability at the probe.
[0076] The second determination module 330 is used to determine multiple groups of weighted weights based on different weighted adjustment parameters and sensitive factors of multiple different working conditions.
[0077] The third determination module 340 is used to weight the sensitivity factors of multiple different working conditions according to each group of weighted weights to obtain multiple comprehensive sensitivity values.
[0078] The fourth determination module 350 is used to determine that the target installation position is suitable for installing an icing sensor when all comprehensive sensitivity values are greater than or equal to 1.
[0079] The fifth determination module 360 is configured to determine that the target installation location is not suitable for installing an icing sensor when any comprehensive sensitivity value is less than 1.
[0080] In one embodiment of the present application, the data acquisition module includes: A data acquisition unit is used to acquire flow field information of multiple different working conditions, the height of the icing sensor, grid information, and the target installation position of the icing sensor, wherein the grid information includes a plurality of tetrahedral grid units obtained by gridding the external flow field of the three-dimensional structure model of the aircraft; A grid determination unit, used to determine a target grid unit based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information, where the target grid unit is a tetrahedral grid unit where the probe is located when the icing sensor is installed at the target installation position; An information determination unit, used to determine the flow field information at the sensor probe corresponding to each working condition based on the flow field information of each working condition and the target grid; The collection rate determination unit is used to determine the probe water droplet collection rate corresponding to each working condition according to the flow field information at the sensor probe corresponding to each working condition.
[0081] In one embodiment of the present application, the information determination unit is further configured to: Determine the node distance between the location of the ice sensor probe and each node of the target grid; Based on the distance between each node and the flow field information of each node, the flow field information at the sensor probe corresponding to each working condition is determined.
[0082] It should be noted that the sensor installation position determination device provided in the above embodiment and the sensor installation position 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 sensor installation position 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 device into different functional modules to complete all or part of the functions described above, and this is not limited here.
[0083] An embodiment of the present application also provides an electronic device, including: 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 sensor installation position determination method provided in the above-mentioned embodiments.
[0084] 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 sensor installation position determination method provided in each of 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.
[0085] Another aspect of the present application also provides a computer program product or a computer program, which includes 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 the processor executes the computer instructions, so that the computer device executes the sensor installation position determination method provided in each of the above embodiments.
[0086] 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".
[0087] 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 sensor installation position, characterized in that: include: Obtaining a probe water droplet collection rate and a water droplet collection rate on the surface of the aircraft at a target installation position of the icing sensor under multiple different working conditions, wherein the probe water droplet collection rate is a water droplet collection rate at a probe of the icing sensor; determining a sensitivity factor based on a probe water droplet collection rate and a maximum water droplet collection rate, the maximum water droplet collection rate being the maximum value among water droplet collection rates on the aircraft surface, the sensitivity factor characterizing an early warning icing capability at the probe; Determine multiple groups of weighted weights based on different weighted adjustment parameters and sensitive factors of multiple different working conditions; The sensitive factors of multiple different working conditions are weighted according to the weights of each group to obtain multiple comprehensive sensitivity values; When all comprehensive sensitivity values are greater than or equal to 1, it is determined that the target installation position is suitable for installing an icing sensor; When any comprehensive sensitivity value is less than 1, it is determined that the target installation position is not suitable for installing an icing sensor.
2. The method for determining the sensor installation position according to claim 1, characterized in that: Obtain the probe water droplet collection rate of the target installation location of the ice sensor under multiple different working conditions, including: Acquiring flow field information of multiple different working conditions, the height of the icing sensor, grid information, and the target installation position of the icing sensor, wherein the grid information includes obtaining multiple tetrahedral grid units by gridding the external flow field of the three-dimensional structure model of the aircraft; Determine a target grid unit based on the height of the ice sensor, the target installation position of the ice sensor, and the grid information, wherein the target grid unit is a tetrahedral grid unit where the probe is located when the ice sensor is installed at the target installation position; Based on the flow field information of each working condition and the target grid, the flow field information at the sensor probe corresponding to each working condition is determined; The probe water droplet collection rate corresponding to each working condition is determined according to the flow field information at the sensor probe corresponding to each working condition.
3. The method for determining the sensor installation position according to claim 2, characterized in that: Based on the flow field information and target grid of each working condition, the flow field information at the sensor probe corresponding to each working condition is determined, including: Determine the node distance between the location of the ice sensor probe and each node of the target grid; Based on the distance between each node and the flow field information of each node, the flow field information at the sensor probe corresponding to each working condition is determined.
4. The method for determining the sensor installation position according to claim 2, characterized in that: Determining a target grid unit based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information includes: Determine the grid centroid of the installation grid based on the target installation position and grid information of the icing sensor; Determine the sensor probe position according to the coordinates of the grid centroid and the height of the icing sensor; The centroid of the grid is determined as the starting point, the position of the sensor probe is determined as the ending point, and a grid determination step is performed, wherein the grid determination step includes: determining adjacent grids adjacent to the starting point in the grid information, and determining the number of intersections between the target line segment and the adjacent grids except the starting point; the two endpoints of the target line segment are the starting point and the ending point respectively; If the number of intersections is 0, the adjacent grid is determined as the target grid unit; if the number of intersections is 1, the intersection is determined as the starting point and the grid determination step is repeated.
5. The method for determining the sensor installation position according to claim 2, characterized in that: The flow field information includes a water drop volume fraction and a water drop velocity. The probe water drop collection rate corresponding to each working condition is determined according to the flow field information at the sensor probe corresponding to each working condition, including: The probe water droplet collection rate is determined according to the far-field water droplet volume fraction, the far-field water droplet velocity, the unit normal vector of the water droplet impacting the wall, the water droplet volume fraction at the sensor probe, and the water droplet velocity at the sensor probe.
6. A sensor installation position determination device, characterized in that: include: A data acquisition module is used to obtain the probe water droplet collection rate and the water droplet collection rate on the aircraft surface at the target installation position of the icing sensor under multiple different working conditions, wherein the probe water droplet collection rate is the water droplet collection rate at the icing sensor probe; A first determination module is used to determine a sensitivity factor based on the probe water droplet collection rate and a maximum water droplet collection rate, wherein the maximum water droplet collection rate is the maximum value of the water droplet collection rates on the aircraft surface, and the sensitivity factor represents the early warning icing capability at the probe; A second determination module is used to determine multiple groups of weighted weights based on different weighted adjustment parameters and sensitive factors of multiple different working conditions; A third determination module is used to weight the sensitivity factors of multiple different working conditions according to each group of weighted weights to obtain multiple comprehensive sensitivity values; A fourth determination module, configured to determine that the target installation position is suitable for installing an icing sensor when all comprehensive sensitivity values are greater than or equal to 1; The fifth determination module is used to determine that the target installation position is not suitable for installing an icing sensor when any comprehensive sensitivity value is less than 1.
7. The sensor installation position determination device according to claim 6, characterized in that: The data acquisition module includes: A data acquisition unit, used to acquire flow field information of multiple different working conditions, the height of the icing sensor, grid information, and the target installation position of the icing sensor, wherein the grid information includes a plurality of tetrahedral grid units obtained by gridding the external flow field of the three-dimensional structure model of the aircraft; A grid determination unit, configured to determine a target grid unit based on the height of the icing sensor, the target installation position of the icing sensor, and the grid information, wherein the target grid unit is a tetrahedral grid unit where a probe is located when the icing sensor is installed at the target installation position; An information determination unit, used to determine the flow field information at the sensor probe corresponding to each working condition based on the flow field information of each working condition and the target grid; The collection rate determination unit is used to determine the probe water droplet collection rate corresponding to each working condition according to the flow field information at the sensor probe corresponding to each working condition.
8. The sensor installation position determination device according to claim 7, characterized in that: The information determination unit is also used to: Determine the node distance between the location of the ice sensor probe and each node of the target grid; Based on the distance between each node and the flow field information of each node, the flow field information at the sensor probe corresponding to each working condition is determined.
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 sensor installation position determination method according to any one of claims 1 to 5.
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 sensor installation position determination method according to any one of claims 1 to 5.