Airborne electromagnetic mission load power consumption optimal dynamic distribution method and device, medium and product

Abstract

The invention discloses an airborne electromagnetic mission load power consumption optimal dynamic distribution method and device, a medium and a product, and relates to the technical field of electronic information. According to the method, the minimum selectable condition range can be integrated and determined according to specific power limiting conditions, meanwhile, according to target waveband coverage and airspace distribution scenes, working modes of loads adaptive to different scenes are determined by using a refinement method, data and theories, an optimal processing criterion is designed and formulated by supporting embedded software, and the optimal processing criterion is designed and formulated. And meanwhile, the aircraft combat effectiveness limitation condition can be accurately evaluated.

Description

Technical Field

[0001] The present invention relates to the field of electronic information technology, and in particular to a method, device, medium, and product for optimal dynamic distribution of power consumption of airborne electromagnetic mission payloads. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.

[0003] Airborne mission payloads guide the antenna array to receive or radiate electromagnetic beams based on the battlefield electromagnetic situation. Each payload covers a different electromagnetic frequency band and, after installation, consumes varying amounts of power and cooling power from the carrier aircraft. The aircraft platform's engines provide electrical energy. When the payload's power consumption exceeds the specified limit while maintaining engine capacity, this is typically addressed by designing a lower maximum power consumption. Currently, aircraft rarely adjust or change mission payloads based on combat missions, and the variety of payloads carried is limited. Consequently, a design approach to lowering the payload's maximum power consumption ensures electrical safety without drawbacks.

[0004] As the battlefield environment becomes increasingly complex, the types and quantities of mission payloads that aircraft platforms must simultaneously load or adjust and replace increase. w Under certain conditions, the combination of loads for power-consuming missions increases. Since the aircraft may carry a single load, in order to ensure combat effectiveness and power safety, the maximum power consumption of each load is designed to be the power supply quota P. w However, when the aircraft is adjusted and replaced with mixed loads of multiple missions, the sum of the maximum power consumption of all loads will exceed the power supply quota P w At this time, how to distribute the power consumption between the loads so that the total power consumption of the combined loads can always be kept at the power supply quota P w However, due to the lack of better theoretical support, constraints are generally formulated by simplifying the design and reducing the dimensions. This will result in a significant decrease in load efficiency and waste of excess power supply. Summary of the Invention

[0005] The purpose of the present invention is to provide an airborne mission platform with an optimal dynamic allocation method, device, medium, and product for power consumption of airborne electromagnetic mission payloads. When power is limited due to insufficient power supply, the minimum optional range can be integrated and determined according to the specific power limitation conditions. At the same time, according to the target band coverage and airspace distribution scenarios, refined methods, data, and theories are used to determine the working mode of the payload in different scenarios, support the embedded software design to formulate the optimal processing criteria, and accurately evaluate the limited combat effectiveness of the carrier aircraft.

[0006] The technical solutions of the present invention are as follows:

[0007] A method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads, comprising:

[0008] Step S1: Generate 4 types of heterogeneous multi-load power consumption state sub-tables according to the power consumption state combination of X-type and Y-type loads;

[0009] Step S2: According to the V power distribution modes arranged from high to low in terms of the carrier power supply limit values, the power consumption state of each heterogeneous multi-load power consumption state sub-table is trimmed, and the power consumption state that does not exceed the power supply limit is retained;

[0010] Step S3: Based on the independent relationship of heterogeneous loads and the inclusion relationship of homogeneous loads, the final candidate power consumption state is selected from the retained power consumption states;

[0011] Step S4: classify and label the band coverage of the alternative power consumption states according to the band coverage of the X-type and Y-type loads;

[0012] Step S5: Adapt the target scenario to the alternative power consumption state according to the airspace coverage of the X-type and Y-type payloads;

[0013] Step S6: Generate pseudocode for allocating heterogeneous multi-load power-limiting working modes according to the marked scenario hierarchical levels.

[0014] Furthermore, the four types of heterogeneous multi-load power consumption status sub-tables include:

[0015] XYX three-load full-load electronic meter, double X full-load single Y power-off / standby sub-meter, double X power-off / standby single Y-load electronic meter, double X power-off / standby single Y power-off / standby sub-meter.

[0016] Furthermore, the step S2 includes:

[0017] Step S21: Arrange the power consumption restrictions of the electromagnetic mission payload based on the power distribution of the carrier aircraft in descending order, for a total of V situations;

[0018] Step S22: Select one of the sub-tables, determine the maximum total power consumption level allowed in the sub-table according to each power supply limit, and then trim the sub-table to eliminate power consumption states exceeding the limit, and so on for other sub-tables.

[0019] Furthermore, the power distribution mode in step S2 includes at least three gears: high-rate power distribution, medium-rate power distribution, and low-rate power distribution. Each gear corresponds to a different set of power supply limit parameters, among which high-rate power distribution corresponds to a priority strong application scenario, low-rate power distribution corresponds to a basic low-efficiency application scenario, and medium-rate power distribution corresponds to a balanced and compatible application scenario.

[0020] Furthermore, the step S4 includes:

[0021] According to the coverage of the X-type and Y-type load bands, the alternative power consumption situations under each power-limiting condition with a total number of more than one power consumption situation in step S3 are classified and labeled, a power distribution mode v is selected, and the number of situations when each band is not covered individually or in combination is determined in turn, and the situations are merged and sorted according to the band priority order.

[0022] Furthermore, in step S5, when performing target scene adaptation marking, the scenes with same-side coverage of each band are preferentially selected.

[0023] Furthermore, the step S6 includes:

[0024] According to the adaptation target scenarios of all situations in step S5, the bands that cover the least situations are selected in turn as the outer software judgment conditions, so as to simplify the software code size and finally generate the working mode allocation processing pseudo code under the XYX three-load power-limiting conditions.

[0025] The present invention further provides a computing device, comprising:

[0026] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above-mentioned method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads.

[0027] The present invention also proposes a computer terminal storage medium storing computer terminal executable instructions, wherein the computer terminal executable instructions are used for the above-mentioned method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads.

[0028] The present invention also proposes a computer program product, which, when executed by a processor, implements the above-mentioned method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads.

[0029] Compared with the existing technology, the beneficial effects of the present invention are:

[0030] The present invention provides an airborne electromagnetic mission payload power consumption optimal dynamic allocation method based on a scenario for an airborne mission platform. Under power-limited conditions, the minimum optional range can be determined by the power-limited value, and complete combat scenarios and embedded software discrimination conditions can be quickly set. At the same time, according to the target band coverage and airspace distribution scenarios, refined methods, data and theories are used to determine the working mode of the payload adaptation in different scenarios, thereby clarifying the optimal design and processing criteria of the embedded software without omission. On the one hand, the power consumption of the mission payload is maximized by utilizing the power supply capacity of the carrier aircraft, and on the other hand, a basis can be provided for accurately evaluating the limited decline in the combat effectiveness of the carrier aircraft corresponding to each target scenario.

[0031] For example, consider two aircraft types, A and B, each supporting only two mission payloads operating at full power. Assuming the power supply capacities of both aircraft remain unchanged, the installation plan for aircraft A involves installing a single Y-type payload and two X-type payloads for flight tests, while the installation plan for aircraft B involves installing a combination of three payloads, X, Y, and X. Since aircraft A never exceeds the carrier power supply limit, no additional design is required for the carrier power distribution plan regarding the X and Y mission payloads, ensuring that power consumption remains constant in any operating mode. However, the power distribution plan for aircraft B requires detailed design to ensure that the mission payloads do not exceed power consumption. If performance design constraints are simplified, the embedded software could establish a judgment and processing criterion: "When all three payloads, X, Y, and X, operate simultaneously, the performance of all bands is halved." However, this criterion fails to carefully consider the target band coverage and airspace distribution scenarios. For example, in the following implementation example, scenarios 10.1 and 12 in Table 11, where payload performance drops significantly, resulting in wasted power. The method of the present invention addresses both of these issues simultaneously, strictly controlling maximum power consumption within the limit while minimizing payload performance degradation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a flow chart of a method for optimal dynamic allocation of power consumption for airborne electromagnetic mission payloads. DETAILED DESCRIPTION

[0033] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0034] The features and performance of the present invention are further described in detail below with reference to the embodiments.

[0035] Example 1

[0036] It should be noted that, to facilitate the implementation of this embodiment, the following definitions are made:

[0037] Assume that the X-type airborne electromagnetic mission payload (hereinafter referred to as X-payload) covers I bands, denoted as {B i}(1≤i≤I);

[0038] Each band has L i Working mode (Li ≥3), which means it includes at least three modes: “full power operation”, “standby” and “power off”, which are respectively recorded as “B i All "B i Waiting" and "B i "B i "in", where 1≤i≤I;

[0039] The X-type single load power consumption states include full power consumption, standby, power off and N X There are M medium power states X This situation is recorded as:

[0040]

[0041] Assume that the Y-type airborne electromagnetic mission payload (hereinafter referred to as Y payload) covers J bands (which do not overlap with the X payload band), denoted as {B j}(I <j≤(I+J));

[0042] Each band has L j Working mode (L j ≥3);

[0043] The Y-type single load power consumption states include full power consumption, standby, power off and N Y There are M medium power states Y This situation is recorded as:

[0044]

[0045] Assume that the aircraft platform installation plan is to mix two X payloads and one Y payload to form an XYX three-payload architecture. The power supply allocation quota of the carrier power supply to the electromagnetic mission payload is divided into V cases from high to low.

[0046] The total number of power consumption states for the dual X load combination is recorded as:

[0047]

[0048] The total number of power consumption states of the XYX three-load combination is recorded as C XYX =C XX ×C Y .

[0049] See also Figure 1 , a method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads, comprising:

[0050] Step S1: Generate four types of heterogeneous multi-load power consumption state sub-tables according to the power consumption state combination of X-type and Y-type loads; the four types of heterogeneous multi-load power consumption state sub-tables include:

[0051] XYX three-load full-load electronic meter, double X full-load single Y power-off / standby sub-meter, double X power-off / standby single Y-load electronic meter, double X power-off / standby single Y power-off / standby sub-meter;

[0052] That is, according to the combination sorting and simplified splitting of the X-type and Y-type load power consumption status, three load power consumption status sub-tables XYX are generated, totaling 4 sub-tables. The specific meaning and total number of status conditions are shown in Table 1.

[0053] Table 1 Meaning and total number of the XYX three-load power consumption status sub-table

[0054]

[0055] Step S2: According to the V power distribution modes arranged from high to low in terms of the carrier power supply limit values, the power consumption state of each heterogeneous multi-load power consumption state sub-table is trimmed, and the power consumption state that does not exceed the power supply limit is retained;

[0056] In this embodiment, specifically, the power distribution mode in step S2 includes at least three gears: high-rate power distribution, medium-rate power distribution, and low-rate power distribution. Each gear corresponds to a different set of power supply limit parameters, among which high-rate power distribution corresponds to a priority strong application scenario, low-rate power distribution corresponds to a basic low-efficiency application scenario, and medium-rate power distribution corresponds to a balanced and compatible application scenario.

[0057] In this embodiment, specifically, step S2 includes:

[0058] Step S21: Arrange the power consumption restrictions of the electromagnetic mission payload based on the power distribution of the carrier aircraft in descending order, for a total of V situations, as shown in Table 2;

[0059] Table 2 Power supply limitations of the carrier aircraft for the XYX three payloads

[0060]

[0061] Step S22: Select one of the sub-tables, determine the maximum total power consumption level allowed in the sub-table according to each power supply limit, and then trim the sub-table to eliminate power consumption states above the limit. The total number of power consumption states retained is shown in Table 3, and the same applies to other sub-tables.

[0062] Table 3 XYX three load power consumption status sub-table power limit retention status total

[0063]

[0064] Step S3: Based on the independent relationship of heterogeneous loads and the inclusion relationship of homogeneous loads, the final candidate power consumption state is selected from the retained power consumption states;

[0065] Although the power consumption states of heterogeneous loads are independent of each other, the change in the power consumption state of only one type of heterogeneous load is reflected in the detailed inclusion of that type of load. Based on this, one or more power consumption states are selected from the power consumption states retained in step S2. The total number of power consumption states is shown in Table 4.

[0066] Table 4 Total number of power-limiting selected states in the sub-table of power consumption status of three loads XYX

[0067]

[0068] Step S4: classify and label the band coverage of the alternative power consumption states according to the band coverage of the X-type and Y-type loads;

[0069] In this embodiment, specifically, step S4 includes:

[0070] According to the coverage of the X-type and Y-type load bands, the alternative power consumption situations under each power-limiting condition with a total number of more than one power consumption situation in step S3 are classified and labeled, and a power distribution mode v (1≤v≤V) is selected. The number of situations in which each band is not covered individually or in combination is determined in turn, and the situations are combined and sorted according to the band priority order, as shown in the table;

[0071] Table 5 Alternative power consumption under power-limiting conditions of three loads XYX Band coverage classification quantity

[0072]

[0073]

[0074] "√" indicates that the band is covered, "×" indicates that the band is not covered, and "*" indicates that the band coverage is arbitrary. The list is sorted by "×">"√">"*" for subsequent processing. The same applies to other power distribution modes. The total number of power consumption situations is:

[0075]

[0076] Step S5: Adapting the target scenario to the alternative power consumption state according to the spatial coverage of the X-type and Y-type payloads; in step S5, the same-side coverage scenario of each band is preferentially selected when adapting the target scenario to the target scenario;

[0077] That is, all situations in step S4 are integrated and annotated according to the airspace coverage of X-type and Y-type payloads. The elements are shown in Table 6.

[0078] Table 6 Label elements of the target scene adaptation under the power-limiting condition of three loads XYX

[0079]

[0080] Step S6: Generate pseudocode for allocating heterogeneous multi-load power-limiting working modes according to the marked scenario hierarchical levels.

[0081] The step S6 comprises:

[0082] According to the adaptation target scenarios of all situations in step S5, the bands that cover the least situations are selected in turn as the outer software judgment conditions to simplify the software code size and finally generate the working mode allocation processing pseudo code under the XYX three-load power-limiting conditions, as shown in Table 7.

[0083] Table 7 Pseudo code for working mode allocation processing under power-limiting conditions of three loads XYX

[0084]

[0085]

[0086] The limited effectiveness of each adaptation scenario on the target is shown in Table 8.

[0087] Table 8: Effect limitation of the three loads XYX under power-limited conditions

[0088]

[0089] In addition, in some embodiments, a computing device is provided, comprising:

[0090] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads; examples of computing devices include PCs, tablet computers, smart phones or PDAs, etc.

[0091] In addition, some embodiments also provide a computer terminal storage medium storing computer terminal executable instructions for the aforementioned method for optimal dynamic allocation of power consumption for airborne electromagnetic mission payloads. Examples of computer storage media include magnetic storage media (e.g., floppy disks, hard disks, etc.), optical recording media (e.g., CD-ROMs, DVDs, etc.), or memories such as memory cards, ROMs, or RAMs. The computer storage medium may also be distributed across networked computer systems, such as in an application store.

[0092] In addition, in some embodiments, a computer program product is also proposed. When the computer program is executed by a processor, the above-mentioned method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads is implemented.

[0093] Example 2

[0094] The second embodiment is a specific application of the method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads proposed in the first embodiment, and specifically includes the following steps:

[0095] Assume that a certain aircraft platform is equipped with a hybrid XYX three-payload architecture. The X-type payload covers three bands: {B1, B2, B3}, each with three operating modes: {B1 full, B1 standby, B1 off}, {B2 full, B2 standby, B2 off}, and {B3 full, B3 standby, B3 off}. The Y-type payload covers two bands: {B4, B5}, each with four operating modes: {B4 full, B4 intermediate, B4 standby, B4 off} and {B5 full, B5 intermediate, B5 standby, B5 off}. "B4 intermediate" and "B5 intermediate" indicate the band is in medium-power operation mode.

[0096] In terms of airspace, all bands of a single X payload only cover the same lateral airspace on the left or right side, while the dual X payload combination can cover the entire airspace on both sides. The full-power operation mode of all bands of a single Y payload can cover the entire airspace at the front and rear ends, while the medium-power operation mode only covers one end-to-end airspace at the front or rear end.

[0097] Table 9 lists the power consumption states and operating modes for various single payload types. A single X payload has nine states, a single Y payload has ten states, a dual X payload combination has 45 states, and an XYX triple payload combination has 450 states. The carrier aircraft's power distribution mode for electromagnetic mission payloads is divided into three levels: high, medium, and low, with power supply limits of 36.9, 25.8, and 14.7, respectively.

[0098] Table 9 Examples of power consumption states and working modes of various single loads

[0099]

[0100] Step S1: Generate a heterogeneous multi-load power consumption status sub-table according to the power consumption status of each type of load.

[0101] According to the combination sorting and simplified splitting of the X-type and Y-type load power consumption status, the three load power consumption status sub-tables XYX are generated, totaling 4 sub-tables. The specific meaning and total number of status conditions are shown in Table 10.

[0102] Table 10 Meaning and total number of the sub-tables of the three load power consumption states of XYX

[0103]

[0104]

[0105] Step S2: Determine the total power consumption level of the heterogeneous multi-payload according to the power supply limitation of the carrier aircraft.

[0106] The power supply distribution of the carrier aircraft to the power consumption restriction of the electromagnetic mission payload is arranged from high to low in three cases, as shown in Table 11.

[0107] Table 11 Example of the power supply limitation of the carrier aircraft when using the three XYX payloads

[0108]

[0109] Select sub-table 1 in step S1 to correspond to the XYX three-load fully powered scenario, and determine the maximum total power consumption level allowed in the sub-table based on the power supply limit. The total number of power consumption states and situations in the trimmed sub-table is shown in Table 12.

[0110] Table 12 Example of total power consumption levels and reserved status under power-limiting conditions of three loads XYX

[0111]

[0112] Step S3: Determine the final candidate power consumption state according to the heterogeneous independence and homogeneous inclusion relationships.

[0113] Select the medium-rated power distribution mode in step S2, and determine the final power consumption state and operating mode table based on the independent relationship of heterogeneous loads and the inclusive relationship of homogeneous loads. The total number is shown in Table 13. Other power distribution modes are similar, as shown in Table 14.

[0114] Table 13 Example of total number of alternative power consumption states under power-limiting conditions of three loads XYX

[0115] Power consumption status and working mode table Total power states Total power consumption cases surface 8 40

[0116] Table 14 Example of alternative power consumption states and working modes sub-table under XYX three-load power-limiting conditions

[0117]

[0118]

[0119] Step S4: classify and mark the power consumption of each power-limiting alternative for the heterogeneous multi-loads according to the load coverage band.

[0120] Based on the band coverage of X- and Y-type loads, the alternative power consumption scenarios under the power-limiting condition in step S3 are categorized and labeled. The number of scenarios where each band is not covered individually or in combination is determined in turn. These scenarios are summarized in Table 15, taking into account the band priority order. The total number of scenarios is 40. A "√" indicates that the band is covered, an "×" indicates that the band is not covered, and an "*" indicates that the band coverage is arbitrary. The list is sorted for subsequent processing.

[0121] Table 15 Alternative power consumption conditions under the power-limiting conditions of three loads XYX Band coverage classification quantity examples

[0122]

[0123] Step S5: Integrate and mark the target scenario of power curtailment adaptation for heterogeneous multi-loads according to the load coverage airspace.

[0124] All 40 cases in step S4 are integrated and labeled according to the airspace coverage of X-type and Y-type payloads, and the same-side coverage scenarios of each band are given priority, see Table 16.

[0125] Table 16 Example of target scenario adaptation under power-limiting conditions of three loads XYX

[0126]

[0127]

[0128]

[0129]

[0130]

[0131] Step S6: Generate pseudocode for allocating heterogeneous multi-load power-limiting working modes according to the marked scenario hierarchical levels.

[0132] According to the adaptation target scenarios of all 40 situations in step S5, the bands that cover the least situations are selected in turn as the outer software judgment conditions to simplify the software code size. Finally, the pseudo code of the working mode allocation processing under the XYX three-load power-limiting conditions is generated, as shown in Table 17.

[0133] Table 17 Pseudo code example of working mode allocation processing under XYX three-load power limiting conditions

[0134]

[0135]

[0136]

[0137] The limited effectiveness of each adaptation scenario on the target is shown in Table 18.

[0138] Table 18 Examples of limited effectiveness under power-limited conditions of three loads XYX

[0139]

[0140]

[0141] At this point, the pseudocode for the distribution and processing of each load working mode of the airborne XYX three-payload mixed architecture under the condition of carrier power supply constraints and the effectiveness of each adaptation scenario on the target have been obtained.

[0142] The above-described embodiments merely represent specific implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of protection of the present application. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the technical concept of the present application, and all such variations and improvements fall within the scope of protection of the present application.

[0143] This background section is provided to generally present the context of the invention, and the work of the presently named inventors, the work to the extent described in this background section, and aspects of the description in this section that did not constitute prior art at the time of filing are neither explicitly nor implicitly admitted to be prior art to the present invention.

Claims

1. A method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads, characterized in that: include: Step S1: Generate 4 types of heterogeneous multi-load power consumption state sub-tables according to the power consumption state combination of X-type and Y-type loads; Step S2: According to the V power distribution modes arranged from high to low in terms of the carrier power supply limit values, the power consumption state of each heterogeneous multi-load power consumption state sub-table is trimmed, and the power consumption state that does not exceed the power supply limit is retained; Step S3: Based on the independent relationship of heterogeneous loads and the inclusion relationship of homogeneous loads, the final candidate power consumption state is selected from the retained power consumption states; Step S4: classify and label the band coverage of the alternative power consumption states according to the band coverage of the X-type and Y-type loads; Step S5: Adapt the target scenario to the alternative power consumption state according to the airspace coverage of the X-type and Y-type payloads; Step S6: Generate pseudocode for allocating heterogeneous multi-load power-limiting working modes according to the marked scenario hierarchical levels.

2. The method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads according to claim 1, characterized in that: The four types of heterogeneous multi-load power consumption status sub-tables include: XYX three-load full-load electronic meter, double X full-load single Y power-off / standby sub-meter, double X power-off / standby single Y-load electronic meter, double X power-off / standby single Y power-off / standby sub-meter.

3. The method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads according to claim 1, characterized in that: The step S2 includes: Step S21: Arrange the power consumption restrictions of the electromagnetic mission payload based on the power distribution of the carrier aircraft in descending order, for a total of V situations; Step S22: Select one of the sub-tables, determine the maximum total power consumption level allowed in the sub-table according to each power supply limit, and then trim the sub-table to eliminate power consumption states exceeding the limit, and so on for other sub-tables.

4. The method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads according to claim 3 is characterized in that: The power distribution mode in step S2 includes at least three gears: high-rate power distribution, medium-rate power distribution, and low-rate power distribution. Each gear corresponds to a different set of power supply limit parameters, among which high-rate power distribution corresponds to priority strong application scenarios, low-rate power distribution corresponds to basic low-efficiency application scenarios, and medium-rate power distribution corresponds to balanced and compatible application scenarios.

5. The method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads according to claim 1, characterized in that: The step S4 comprises: According to the coverage of the X-type and Y-type load bands, the alternative power consumption situations under each power-limiting condition with a total number of more than one power consumption situation in step S3 are classified and labeled, a power distribution mode v is selected, and the number of situations when each band is not covered individually or in combination is determined in turn, and the situations are merged and sorted according to the band priority order.

6. The method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads according to claim 1, characterized in that: In step S5, when performing target scene adaptation marking, the scenes with same-side coverage of each band are preferentially selected.

7. The method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads according to claim 1, characterized in that: The step S6 comprises: According to the adaptation target scenarios of all situations in step S5, the bands that cover the least situations are selected in turn as the outer software judgment conditions, so as to simplify the software code size and finally generate the working mode allocation processing pseudo code under the XYX three-load power-limiting conditions.

8. A computing device, characterized in that: include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a method for optimal dynamic allocation of power consumption of an airborne electromagnetic mission payload as described in any one of claims 1 to 7.

9. A computer terminal storage medium storing computer terminal executable instructions, characterized in that: The computer terminal executable instructions are used to execute the method for optimal dynamic allocation of power consumption of airborne electromagnetic mission payloads as described in any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program is executed by a processor, the method for optimal dynamic allocation of power consumption of an airborne electromagnetic mission payload as described in any one of claims 1 to 7 is implemented.

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