Heater optimization method, device and equipment for fan blade gas heat deicing and medium

Abstract

The invention relates to a heater optimization method, device and equipment for fan blade gas heat deicing and a medium. The heater optimization method for fan blade gas heat deicing comprises the steps that relevant parameters of a heater are obtained; on the basis of the relevant parameters, air flow pressure calculation is conducted on the air inlet path of the heater, and an air flow pressure result is obtained; performing regional grid weight division on the air inlet of the heater on the basis of the air flow pressure flowing result to obtain a grid weight division result; and determining a layout strategy of the heating unit according to the grid weight division result. According to the embodiment of the invention, the heating efficiency of the heating unit in the heater can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of air-heat deicing of fan blades, and in particular to a heater optimization method, device, equipment and medium for air-heat deicing of fan blades. Background Art

[0002] The gas-heat deicing method is the mainstream deicing method for fan blades on the market. This method uses the power supply and control system to use the blower and PTC heater installed inside the fan blade to deliver hot air to the inside of the blade, and then conducts the heat to the outer surface through the heat exchange between the inner and outer surfaces of the blade to achieve the effect of deicing the blade. This method has many advantages such as good deicing effect, short construction period, low cost, and low risk of lightning strike.

[0003] The PTC heater is mainly composed of several evenly arranged heating strips. However, the heating performance of the PTC heater has not been fully utilized. The main reason is that the wind pressure distribution at the connection between the blower and the heater is uneven, showing a distribution pattern of "large in the middle and small on both sides". As a result, the PTC heating strip facing the air outlet in the middle is better exposed to the wind, while the heating strips on both sides away from the air outlet are not fully exposed to the wind, further limiting the heating power. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides a heater optimization method, device, equipment and medium for air-heat deicing of fan blades.

[0005] In a first aspect, the present disclosure provides a heater optimization method for air-heat deicing of fan blades, comprising:

[0006] Get the relevant parameters of the heater;

[0007] Based on the relevant parameters, the air flow pressure calculation is performed on the air inlet path of the heater to obtain the air flow pressure result;

[0008] Based on the air flow dynamic pressure result, the heater air inlet is divided into regional grid weights to obtain a grid weight division result;

[0009] The layout strategy of the heating units is determined according to the grid weight division result.

[0010] In a second aspect, the present disclosure provides a heater optimization device for air-heat deicing of fan blades, comprising:

[0011] A parameter acquisition module is used to obtain relevant parameters of the heater;

[0012] A first calculation module, configured to calculate the airflow flow pressure of the air inlet path of the heater based on the relevant parameters to obtain an airflow flow pressure result;

[0013] A first division module is used to perform regional grid weight division on the heater air inlet based on the air flow dynamic pressure result to obtain a grid weight division result;

[0014] A strategy determination module is used to determine the layout strategy of the heating unit according to the grid weight division result.

[0015] In a third aspect, the present disclosure provides a heater optimization device for air-heat deicing of fan blades, comprising:

[0016] processor;

[0017] A memory for storing executable instructions;

[0018] The processor is used to read executable instructions from the memory and execute the executable instructions to implement the heater optimization method for air-heat deicing of fan blades of the first aspect.

[0019] In a fourth aspect, the present disclosure provides a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to implement the heater optimization method for air-heat deicing of fan blades according to the first aspect.

[0020] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0021] The heater optimization method, device, equipment and medium for air-heating deicing of fan blades of the disclosed embodiments can obtain relevant parameters of the heater, and then, based on the relevant parameters, perform airflow flow pressure calculation on the air inlet path of the heater to obtain airflow flow pressure results, and then, based on the airflow flow pressure results, perform regional grid weight division on the air inlet of the heater to obtain grid weight division results, and finally determine the layout strategy of the heating unit according to the grid weight division results, thereby performing regional grid weight division through the airflow flow pressure results of the air inlet path of the heater, and determining the layout strategy of the heating unit according to the grid weight division results, thereby improving the heating efficiency of the heating units in the heater. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0023] Figure 1 A schematic flow chart of a heater optimization method, device, equipment and medium for air-heat deicing of fan blades provided in an embodiment of the present disclosure;

[0024] Figure 2 A schematic diagram of the structure of a heater provided in an embodiment of the present disclosure;

[0025] Figure 3 A schematic diagram of the structure of a rectangular coordinate system in a heater provided in an embodiment of the present disclosure;

[0026] Figure 4 A schematic diagram of the structure of a symmetrical region provided in an embodiment of the present disclosure;

[0027] Figure 5 A schematic diagram of the structure of another symmetrical region provided in an embodiment of the present disclosure;

[0028] Figure 6 A schematic diagram of a method for calculating median dynamic pressure provided in an embodiment of the present disclosure;

[0029] Figure 7 A schematic diagram of another method for calculating median dynamic pressure provided in an embodiment of the present disclosure;

[0030] Figure 8 A structural schematic diagram of a grid weight division result provided by an embodiment of the present disclosure;

[0031] Fig. 9 A schematic diagram of the structure of a heater optimization device for air-heat deicing of fan blades provided in an embodiment of the present disclosure;

[0032] Fig.10 A schematic structural diagram of a heater optimization device for air-heat deicing of fan blades provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0033] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0034] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0035] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0036] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0037] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0038] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0039] In order to solve the above problems, the embodiments of the present disclosure provide a method, device, equipment and medium for optimizing the heater for air-heat deicing of fan blades. Figures 1 to 8 The heater optimization method for air-heat deicing of fan blades provided in an embodiment of the present disclosure is described in detail.

[0040] Figure 1 A flow chart of a heater optimization method, device, equipment and medium for air-heat deicing of fan blades provided by an embodiment of the present disclosure is shown.

[0041] In the disclosed embodiment, the heater optimization method for air-heat deicing of fan blades may be performed by an electronic device, wherein the electronic device may include but is not limited to devices such as computer devices, cloud servers or cloud server clusters.

[0042] like Figure 1 As shown, the heater optimization method for air-heat deicing of fan blades may include the following steps.

[0043] S110, obtaining relevant parameters of the heater.

[0044] In the embodiment of the present disclosure, the electronic device can obtain relevant parameters of the heater.

[0045] Optionally, the relevant parameters of the heater may include parameters of the heater air inlet and parameters of the blower air inlet.

[0046] Specifically, the electronic device may obtain the stored relevant parameters of the PTC heater.

[0047] Figure 2 A schematic structural diagram of a heater provided in an embodiment of the present disclosure is shown.

[0048] like Figure 2 As shown, the parameters of the blower air inlet may include the blower air inlet area A1 and the blower air inlet wind speed v1; the parameters of the heater air inlet may include the heater air inlet area A2, the cross-sectional width L of the heater air inlet, and the center point wind speed v of the heater air inlet. 2max , the wind speed at the heater inlet is v2.

[0049] S120. Based on the relevant parameters, calculate the airflow flow pressure of the air inlet path of the heater to obtain an airflow flow pressure result.

[0050] In the embodiment of the present disclosure, the electronic device can perform airflow flow pressure calculation on the air inlet path of the heater based on the relevant parameters to obtain the airflow flow pressure result.

[0051] Alternatively, the gas flow pressure result may be a pressure related to the motion state of the gas in the heater.

[0052] Specifically, the electronic device can calculate the airflow flow pressure on the air inlet path of the heater through relevant parameters to obtain the airflow flow pressure result.

[0053] S130. Based on the airflow dynamic pressure result, the heater air inlet is divided into regional grid weights to obtain a grid weight division result.

[0054] In the embodiment of the present disclosure, the electronic device may perform regional grid weight division on the heater air inlet based on the air flow dynamic pressure result to obtain a grid weight division result.

[0055] Optionally, the grid weight division result may be division of regional grids with different weights.

[0056] Specifically, after obtaining the airflow dynamic pressure result, the electronic device may perform regional grid weight division on the heater air inlet according to the airflow dynamic pressure result to obtain a grid weight division result.

[0057] S140. Determine a layout strategy of the heating units according to the grid weight division result.

[0058] In the embodiment of the present disclosure, the electronic device may determine the layout strategy of the heating unit according to the grid weight division result.

[0059] Specifically, after obtaining the grid weight division result, the electronic device can determine the layout strategy of the heating unit according to the grid weight division result, that is, determine the layout strategy for placing the heating unit.

[0060] Therefore, in the embodiment of the present disclosure, relevant parameters of the heater can be obtained, and then based on the relevant parameters, the air flow pressure calculation is performed on the air inlet path of the heater to obtain the air flow pressure result, and then based on the air flow pressure result, the air inlet of the heater is regionally grid-weighted to obtain the grid weight division result, and finally the layout strategy of the heating unit is determined according to the grid weight division result, thereby performing regional grid weight division through the air flow pressure result of the air inlet path of the heater, and determining the layout strategy of the heating unit according to the grid weight division result, thereby improving the heating efficiency of the heating unit in the heater.

[0061] Optionally, the heater optimization method for air-heat deicing of fan blades may also include: calculating the average wind speed of the heater air inlet according to the parameters of the heater air inlet and the parameters of the blower air inlet; and calculating the center point wind speed of the heater air inlet based on the average wind speed of the heater air inlet.

[0062] In the disclosed embodiment, the electronic device may calculate the average wind speed of the heater air inlet according to the parameters of the heater air inlet and the parameters of the blower air inlet, and then calculate the center point wind speed of the heater air inlet based on the average wind speed of the heater air inlet.

[0063] For example, assuming that the wind speed at the heater inlet is the largest at the center, the smallest on both sides of the heater inlet, and the wind speed at the distance x from the heater inlet to the central axis satisfies the following parabolic distribution formula:

[0064]

[0065] Wherein, k is the edge coefficient, that is, the wind speed at the edge of the heater air inlet is k times the wind speed at the center of the heater air inlet (0<k<1).

[0066] Figure 3 A schematic structural diagram of a rectangular coordinate system in a heater provided by an embodiment of the present disclosure is shown.

[0067] like Figure 3 As shown, a rectangular coordinate system is established. The common central axis of the two air inlets is taken as the y-axis, the straight line where the heater air inlet plane is located is taken as the x-axis, and the midpoint is taken as the coordinate origin to establish a plane rectangular coordinate system.

[0068] Furthermore, the average wind speed at the heater inlet is calculated The average wind speed at the heater inlet Expressed by the blower inlet wind speed v1, the specific integral calculation is:

[0069]

[0070] Next, according to the law of conservation of flow mass, if the density of air is ρ, the blower inlet and the heater inlet should satisfy the continuity equation: The average wind speed at the heater inlet can be obtained for:

[0071]

[0072] The average wind speed at the air inlet of the two heaters The formula of can be combined to get the wind speed v at the center of the heater inlet 2max for:

[0073]

[0074] Optionally, S120 may specifically include: performing airflow dynamic pressure calculation on the air inlet path of the heater based on the wind speed at the center point of the air inlet of the heater to obtain the airflow dynamic pressure result.

[0075] In the disclosed embodiment, after obtaining the center point wind speed of the heater air inlet, the electronic device can calculate the airflow pressure of the air inlet path of the heater based on the center point wind speed of the heater air inlet to obtain the airflow pressure result.

[0076] For example, the electronic device can calculate the air flow pressure result P at any point x from the central axis of the heater inlet. d (x) is:

[0077]

[0078] Here, ρ is the density of the flowing air.

[0079] Optionally, before S130, the heater optimization method for air-heat deicing of fan blades may further include: calculating the number of regions based on the relevant parameters; dividing the symmetrical regions according to the parity of the number of regions to obtain a region division result.

[0080] In the embodiment of the present disclosure, the electronic device may calculate the number of regions based on the relevant parameters.

[0081] For example, the electronic device can calculate the number of regions N according to the cross-sectional width L of the heater air inlet and the length data d of the heating unit as follows:

[0082]

[0083] Here, “[]” indicates a round-down operation to ensure that the number of regions N is a positive integer.

[0084] Furthermore, the electronic device may divide the symmetrical regions according to the parity of the number of regions to obtain a region division result.

[0085] Figure 4 A schematic structural diagram of a symmetrical region provided by an embodiment of the present disclosure is shown.

[0086] like Figure 4 As shown, when the number of zones N is an even number, the number of zones arranged on both sides of the central axis of the heater air inlet is the same, that is, the corresponding PTC heating units arranged in the same number of columns are numbered in increasing order from left to right.

[0087] Figure 5 A schematic diagram of the structure of another symmetrical region provided in an embodiment of the present disclosure is shown.

[0088] like Figure 5 As shown, when the number of zones N is an odd number, there is a column of zones on the central axis of the heater air inlet, and the number of zones arranged on both sides of the column of zones is the same, that is, there is a column of PTC heating units on the central axis of the heater air inlet, and the PTC heating units arranged on both sides of the column of PTC heating units are the same, and the zones are numbered in increasing order from left to right.

[0089] Optionally, S130 may specifically include: calculating the median dynamic pressure of each area based on the airflow dynamic pressure result and the area division result; and performing regional grid weight division on the heater air inlet according to the median dynamic pressure to obtain the grid weight division result.

[0090] In the embodiment of the present disclosure, the electronic device may calculate the median dynamic pressure of each area based on the airflow dynamic pressure result and the area division result.

[0091] Figure 6 A schematic diagram of a method for calculating median dynamic pressure provided by an embodiment of the present disclosure is shown.

[0092] like Figure 6 As shown in the figure, when the number of regions N is an even number, since the number of heating units on both sides of the central axis is symmetrical, the right half of the coordinate system is taken as the research object, and the median dynamic pressure P of the zth block area is calculated. d (x) is:

[0093]

[0094] Among them, the positive integer z satisfies

[0095] Figure 7A schematic diagram of another method for calculating median dynamic pressure provided by an embodiment of the present disclosure is shown.

[0096] like Figure 7 As shown in the figure, when the number of regions N is an odd number, due to the presence of a heating unit on the central axis, the width of the right half of the first region in the coordinate system will be reduced to half of that when N is an even number, that is, the median dynamic pressure P d (x) is:

[0097]

[0098] Among them, the positive integer z satisfies

[0099] Furthermore, the electronic device may perform regional grid weight division on the heater air inlet according to the median dynamic pressure to obtain the grid weight division result.

[0100] For example, define the weight of the ath block area in the coordinate system as w(a), and annotate the weight ratio of the divided grid. The weight ratio is distributed from left to right along the horizontal axis (x-axis) of the coordinate system according to the following rules:

[0101] When the number of regions N is even:

[0102]

[0103] When the number of regions N is an odd number:

[0104]

[0105] Optionally, S140 may specifically include: determining a layout strategy for placing the heating unit in the region according to the grid weight division result and the length data of the heating unit.

[0106] In the embodiment of the present disclosure, the electronic device may determine a layout strategy for placing the heating unit in the region according to the grid weight division result and the length data of the heating unit.

[0107] Figure 8 A structural schematic diagram of a grid weight division result provided by an embodiment of the present disclosure is shown.

[0108] like Figure 8 As shown, according to the grid weight division result and the length data of the heating unit, the layout strategy of placing the heating unit in the area is determined. If the number of areas N is an odd number, and the length of the PTC heater can accommodate at most b rows of heating units, then b rows of heating units should be placed in the middle column, and the number of rows of heating units m to be placed in any non-middle column p-th column is:

[0109]

[0110] Among them, the heating units arranged according to this ratio will have fewer edge areas and more center areas. PTC heating units containing graphene can be placed in the edge areas to further improve the heating efficiency of the PTC heating units.

[0111] Fig. 9 A schematic structural diagram of a heater optimization device for air-heat deicing of fan blades provided in an embodiment of the present disclosure is shown.

[0112] like Fig. 9 As shown, the heater optimization device 900 for air-heat deicing of fan blades may include a parameter acquisition module 910 , a first calculation module 920 , a first division module 930 and a strategy determination module 940 .

[0113] The parameter acquisition module 910 can be used to obtain relevant parameters of the heater;

[0114] The first calculation module 920 may be used to calculate the airflow flow pressure on the air inlet path of the heater based on the relevant parameters to obtain the airflow flow pressure result;

[0115] The first division module 930 may be used to perform regional grid weight division on the heater air inlet based on the air flow dynamic pressure result to obtain a grid weight division result;

[0116] The strategy determination module 940 may be used to determine the layout strategy of the heating units according to the grid weight division result.

[0117] Therefore, in the embodiment of the present disclosure, relevant parameters of the heater can be obtained, and then based on the relevant parameters, the air flow pressure calculation is performed on the air inlet path of the heater to obtain the air flow pressure result, and then based on the air flow pressure result, the air inlet of the heater is regionally grid-weighted to obtain the grid weight division result, and finally the layout strategy of the heating unit is determined according to the grid weight division result, thereby performing regional grid weight division through the air flow pressure result of the air inlet path of the heater, and determining the layout strategy of the heating unit according to the grid weight division result, thereby improving the heating efficiency of the heating unit in the heater.

[0118] In some embodiments of the present disclosure, the related parameters may include parameters of a heater air inlet and parameters of a blower air inlet.

[0119] In some embodiments of the present disclosure, the heater optimization device 900 for air-heat deicing of fan blades may further include a second calculation module and a third calculation module.

[0120] The second calculation module may be used to calculate an average wind speed at the heater air inlet according to the parameters of the heater air inlet and the parameters of the blower air inlet.

[0121] The third calculation module may be used to calculate the wind speed at the center point of the heater air inlet based on the average wind speed at the heater air inlet.

[0122] In some embodiments of the present disclosure, the first computing module 920 may specifically include a first computing unit.

[0123] The first calculation unit may be used to calculate the airflow dynamic pressure on the air inlet path of the heater based on the wind speed at the center point of the air inlet of the heater to obtain the airflow dynamic pressure result.

[0124] In some embodiments of the present disclosure, the heater optimization device 900 for air-heat deicing of fan blades may further include a fourth calculation module and a second division module.

[0125] The fourth calculation module can be used to calculate the number of regions based on the relevant parameters before performing regional grid weight division on the heater air inlet based on the air flow pressure result to obtain the grid weight division result.

[0126] The second division module can be used to divide the symmetrical regions according to the parity of the number of regions to obtain a region division result.

[0127] In some embodiments of the present disclosure, the first division module 930 may specifically include a second calculation unit and a region division unit.

[0128] The second calculation unit can be used to calculate the median dynamic pressure of each area based on the airflow dynamic pressure result and the area division result.

[0129] The area division unit may be used to perform area grid weight division on the heater air inlet according to the median dynamic pressure to obtain the grid weight division result.

[0130] The strategy determination module 940 may be specifically configured to determine a layout strategy for placing the heating unit in a region according to the grid weight division result and the length data of the heating unit.

[0131] It should be noted that Fig. 9 The heater optimization device 900 for air-heat deicing of fan blades can be implemented Figures 1 to 8 The various steps in the method embodiment shown in the figure are implemented Figures 1 to 8 The various processes and effects in the method embodiment shown are not described in detail here.

[0132] Fig.10A schematic structural diagram of a heater optimization device for air-heat deicing of fan blades provided in an embodiment of the present disclosure is shown.

[0133] In some embodiments of the present disclosure, Fig.10 The heater optimization device for air-heat deicing of fan blades shown can be an electronic device. Specifically, the electronic device can include but is not limited to devices such as computer devices, cloud servers or cloud server clusters.

[0134] like Fig.10 As shown, the heater optimization device for air-heat deicing of fan blades may include a processor 1001 and a memory 1002 storing computer program instructions.

[0135] Specifically, the processor 1001 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0136] The memory 1002 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 1002 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 1002 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 1002 may be inside or outside the integrated gateway device. In a specific embodiment, the memory 1002 is a non-volatile solid-state memory. In a specific embodiment, the memory 1002 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), an electrically alterable ROM (EAROM) or flash memory, or a combination of two or more of these.

[0137] The processor 1001 reads and executes the computer program instructions stored in the memory 1002 to perform the steps of the heater optimization method for air-heat deicing of fan blades provided in the embodiment of the present disclosure.

[0138] In one example, the heater optimization device for air-heat deicing of fan blades may further include a transceiver 1003 and a bus 1004. Fig.10 As shown, the processor 1001, the memory 1002 and the transceiver 1003 are connected via a bus 1004 and communicate with each other.

[0139] The bus 1004 includes hardware, software, or both. For example, but not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 1004 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0140] The embodiments of the present disclosure also provide a computer-readable storage medium, which may store a computer program. When the computer program is executed by a processor, the processor implements the heater optimization method for air-heat deicing of fan blades provided in the embodiments of the present disclosure.

[0141] The above-mentioned storage medium may, for example, include a memory 1002 of computer program instructions, and the above-mentioned instructions may be executed by the processor 1001 of the heater optimization device for air-heat deicing of fan blades to complete the heater optimization method for air-heat deicing of fan blades provided in the embodiment of the present disclosure. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc ROM, CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0142] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0143] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A heater optimization method for air-heat deicing of fan blades, characterized in that: include: Get the relevant parameters of the heater; Based on the relevant parameters, the air flow pressure calculation is performed on the air inlet path of the heater to obtain the air flow pressure result; Based on the air flow dynamic pressure result, the heater air inlet is divided into regional grid weights to obtain a grid weight division result; The layout strategy of the heating units is determined according to the grid weight division result.

2. The method according to claim 1, characterized in that: The related parameters include parameters of the heater air inlet and parameters of the blower air inlet.

3. The method according to claim 2, characterized in that The method further comprises: Calculating an average wind speed at the heater air inlet according to the parameters of the heater air inlet and the parameters of the blower air inlet; The wind speed at the center point of the heater air inlet is calculated based on the average wind speed at the heater air inlet.

4. The method according to claim 3, characterized in that Based on the relevant parameters, the airflow flow pressure calculation is performed on the air inlet path of the heater to obtain the airflow flow pressure result, including: Based on the wind speed at the center point of the air inlet of the heater, the air flow pressure calculation is performed on the air inlet path of the heater to obtain the air flow pressure result.

5. The method according to claim 1, characterized in that: Before performing regional grid weight division on the heater air inlet based on the air flow dynamic pressure result to obtain the grid weight division result, the method further includes: Based on the relevant parameters, calculating the number of regions; The symmetrical regions are divided according to the parity of the number of regions to obtain a region division result.

6. The method according to claim 5, characterized in that Based on the airflow dynamic pressure result, the heater air inlet is divided into regional grid weights to obtain a grid weight division result, including: Based on the airflow dynamic pressure result and the area division result, calculate the median dynamic pressure of each area; The heater air inlet is regionally grid-weighted according to the median dynamic pressure to obtain the grid-weighted division result.

7. The method according to claim 1, characterized in that The step of determining the layout strategy of the heating unit according to the grid weight division result includes: A layout strategy for placing the heating units in a region is determined according to the grid weight division result and the length data of the heating units.

8. A heater optimization device for air-heat deicing of fan blades, characterized in that: include: A parameter acquisition module is used to obtain relevant parameters of the heater; A first calculation module, configured to calculate the airflow flow pressure of the air inlet path of the heater based on the relevant parameters to obtain an airflow flow pressure result; A first division module is used to perform regional grid weight division on the heater air inlet based on the air flow dynamic pressure result to obtain a grid weight division result; A strategy determination module is used to determine the layout strategy of the heating unit according to the grid weight division result.

9. A heater optimization device for air-heat deicing of fan blades, characterized in that: include: processor; A memory for storing executable instructions; The processor is used to read the executable instructions from the memory and execute the executable instructions to implement the heater optimization method for air-heat deicing of fan blades according to any one of claims 1 to 7.

10. A non-volatile computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the heater optimization method for air-heat deicing of wind turbine blades according to any one of claims 1 to 7.

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