A method and system for optimizing the design of aircraft rainfall enhancement routes in a mobile cloud system

Abstract

The present invention provides a method and system for optimizing the design of aircraft rainfall enhancement routes for a mobile cloud system, wherein the method comprises: S1, obtaining an initial rainfall enhancement route for parallel strip seeding of an aircraft; S2, monitoring the status information of the mobile cloud system of the initial rainfall enhancement route; S3, based on the status information, correcting the initial rainfall enhancement route to obtain an optimized rainfall enhancement route. The method and system for optimizing the design of aircraft rainfall enhancement routes for a mobile cloud system of the present invention, for the parallel strip seeding scheme, proposes an optimized "S" type flight route design method on the basis of fully considering the cloud system movement speed, aircraft performance, etc., and develops an "S" type aircraft rainfall enhancement operation route design system, which can quickly determine the longitude and latitude of the turning point of the operation route, and ultimately realize parallel strip seeding, in order to improve the precision of aircraft artificial rainfall enhancement operations.

Description

Technical Field

[0001] The present invention relates to the technical field of computer data processing, and in particular to a method and system for optimizing the design of aircraft rainfall enhancement routes in a mobile cloud system. Background Art

[0002] At present, with the continuous development of aircraft observation research on cloud physical processes, my country's cloud precipitation physical aircraft detection platform has also been rapidly improved. At present, it is mainly based on civil aircraft such as Yun-12, Xinzhou-60, and King Air. The corresponding application demand in the design of artificial weather modification scientific operations has increased significantly. In order to realize the parallel strip seeding scheme, my country's aircraft artificial rainmaking operations or tests use zigzag routes, 8-shaped routes, and AB line repeated catalysis routes, which have promoted the observation of cloud microphysical characteristics and the inspection of aircraft seeding effects.

[0003] The design of aircraft rain enhancement operation plans, especially catalytic operation routes, is not only constrained by the operating conditions of the target cloud area for each operation, but also has a direct relationship with the performance of the aircraft implementing the operation, the real-time observation capability of the onboard instruments, and the technical level of the boarding and ground command personnel. It can be seen that although the technical route of each operation plan and aircraft catalytic route design is the same, the specific implementation of the sowing track is different. In the new era, the country's economic and social development has put forward higher requirements for the normalization of scientific and precise operations of artificial weather modification. How to scientifically and reasonably design aircraft rain enhancement routes to achieve the purpose of improving operation results and improving operation efficiency is an urgent problem to be solved. Summary of the invention

[0004] One of the purposes of the present invention is to provide an optimization design method for aircraft rain-making routes for moving cloud systems. For the parallel strip seeding scheme, an optimized "S"-shaped flight route design method is proposed on the basis of fully considering the cloud system movement speed, aircraft performance, etc., and an "S"-shaped aircraft rain-making operation route design system is developed, which can quickly determine the longitude and latitude of the turning point of the operation route, and ultimately realize parallel strip seeding, in order to improve the precision of aircraft artificial rain-making operations.

[0005] An embodiment of the present invention provides a method for optimizing the design of a mobile cloud system aircraft rainfall enhancement route, comprising:

[0006] S1. Obtain the initial rainfall enhancement route of the aircraft's parallel strip seeding;

[0007] S2. Monitoring the status information of the moving cloud system of the initial rainfall enhancement route;

[0008] S3. Based on the status information, the initial rain-enhancing route is corrected to obtain an optimized rain-enhancing route.

[0009] Preferably, the step S3, based on the state information, correcting the initial rainfall enhancement route to obtain an optimized rainfall enhancement route, comprises:

[0010] Dividing the initial rain enhancement route into a plurality of segments to be corrected; the initial rain enhancement route enables the aircraft to fly in a direction perpendicular to the high-altitude wind in the state information;

[0011] Traverse each segment to be corrected in turn;

[0012] Each time the traversal is performed, the straight line segment AB and the turning segment BF are determined from the traversed segments to be corrected;

[0013] Obtaining an actual track AB1 of the straight line segment AB affected by the crosswind factor in the state information;

[0014] Obtain the seeding strip A1B1 formed in the cloud by the aircraft flying along the actual track AB1;

[0015] Making corrections, including: controlling the aircraft to travel along the actual track AB1 according to the GPS mode or VOR area to increase rainfall;

[0016] The turning section BF is divided into OM section, PN section and MN section; the OM section and PN section are in the shape of a quarter circle, and the MN section is in the shape of a straight line;

[0017] Get a spreading strip E1F1 parallel to the spreading strip A1B1;

[0018] After the aircraft turns along the turning section BF, the actual position of the spreading strip A1B1 is the A2B2 section, and the actual position of the spreading strip E1F1 is the E2F2 section;

[0019] Based on the E2F2 segment, the turning segment BF is corrected.

[0020] Preferably, the steps for determining the E2 position and the F2 position in the E2F2 segment are as follows:

[0021] Assume the turning radius of the aircraft is R and the speed is V 飞机 , at the standard turning rate, it takes 120 seconds for the aircraft to turn a circle, so

[0022] 2×π×R=120×V 飞机 ;

[0023] The turning radius of the aircraft is:

[0024] R=19.1×V 飞机 ;

[0025] Assume that the time it takes for the aircraft to complete a turn is t. At a standard turning rate of 3° / s, it takes 30s to complete the OM segment and PN segment respectively. Then, the time it takes for the aircraft to perform the direct flight of the MN segment is t-60. The straight-line distance that the aircraft takes to turn from the starting point P on the PN segment to the starting point O on the OM segment is:

[0026] OP=2×R+(t-60)×(V 飞机 -V 云 );

[0027] The distance the aircraft travels from point B1 at the end of the actual flight path AB1 to point F2 is:

[0028] B1F2=Dt×V 云 ;

[0029] Since B1F2=OP, we have:

[0030] Dt×V 云 =2×R+(t-60)×(V 飞机 -V 云 );

[0031] From the above formula, we can get the time taken by the aircraft to turn:

[0032] D is the strip spacing;

[0033] Then the distance the aircraft travels from point B1 at the end of the actual track AB1 to point F2 is:

[0034] From this, the position of point F2 can be determined;

[0035] After the position of point F2 is determined, the length of segment E2F2 is W, the azimuth angles of the two points are constant, and the position of point E2 is determined.

[0036] Preferably, the step S3, based on the state information, correcting the initial rainfall enhancement route to obtain an optimized rainfall enhancement route, comprises:

[0037] Acquire training samples; the training samples include: a large number of parallel strip-seeding rainfall enhancement routes marked with route optimization design solutions and mobile cloud system status information;

[0038] Based on the training samples, the neural network model is trained to obtain the rainfall enhancement route optimization model;

[0039] The state information and the initial rain-enhancing route are input into a rain-enhancing route optimization model to obtain an optimized rain-enhancing route.

[0040] Preferably, when the initial rain enhancement route is corrected based on the state information, it also includes:

[0041] When the staff inputs a manual optimization request, a visualization model is constructed using the initial rain enhancement route, the status information of the moving cloud system, the correction process information of correcting the initial rain enhancement route based on the status information, and the segment to be corrected;

[0042] Displaying visual models to workers;

[0043] Acquire an intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model;

[0044] When the intention value is greater than or equal to the intention threshold, the corresponding segment to be corrected is used as the first target correction segment;

[0045] skipping the step of modifying the first target modification segment based on the state information;

[0046] The auxiliary staff shall make manual corrections to the first target correction segment.

[0047] Preferably, the step of obtaining the intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model includes:

[0048] Based on the preset event recognition template, identify the content of attention in the status information;

[0049] When the staff member views the historical perspective of the visualization model and finds that the content to be paid attention to is included, the corresponding historical perspective is used as the first target historical perspective;

[0050] Obtaining a preset time direction corresponding to the content type of the content to be focused on; the time direction includes: front and back;

[0051] Determine a second target revision segment affected by the content to be concerned from the segment to be revised;

[0052] Determine a second target historical perspective including the second target correction segment from a historical perspective generated within a preset first time in the time direction of generating the first target historical perspective when the staff views the visualization model;

[0053] Based on a preset first characterization template, the second target historical perspective is characterized to obtain a plurality of first characteristic values; the plurality of first characteristic values ​​at least include: the duration of the staff member continuously viewing the visualization model from the second target historical perspective, the time interval between adjacent second target historical perspectives in the historical perspective sequence, the type of visual content under the historical perspective between two second target historical perspectives in the historical perspective sequence, and the degree of overlap between adjacent second target historical perspectives in the historical perspective sequence;

[0054] Based on the plurality of first eigenvalues, construct a first characteristic description factor;

[0055] The intention value corresponding to the first feature description factor is determined from a preset intention value library corresponding to the route type of the second target correction segment.

[0056] Preferably, the auxiliary staff manually corrects the first target correction segment, including:

[0057] Obtaining the correction progress of the staff member's manual correction of the first target correction segment;

[0058] Determine a correction auxiliary strategy corresponding to the correction progress from a preset correction auxiliary strategy library corresponding to the route type of the second target correction segment; the correction auxiliary strategy includes: a plurality of groups of one-to-one corresponding prompt information mapping relationships and mapping timing conditions;

[0059] determining whether the worker meets any mapping opportunity condition;

[0060] When the conditions are met, the mapping content is retrieved from the visualization model based on the information mapping relationship corresponding to the mapping timing conditions met by the staff member;

[0061] Based on a preset second characterization template, characterization processing is performed on the mapping content and the historical perspective generated by the staff viewing the visualization model within the second time period recently preset, to obtain multiple second characteristic values; the multiple second characteristic values ​​at least include: the content size and content type of the mapping content, and the overlapping visual area of ​​the historical perspective generated by the staff viewing the visualization model within the second time period recently preset;

[0062] Based on the plurality of second eigenvalues, construct a second characteristic description factor;

[0063] Determine an auxiliary execution scheme corresponding to the second feature description factor from a preset auxiliary execution scheme library;

[0064] Execute assisted execution scenarios within the visual model.

[0065] An embodiment of the present invention provides a mobile cloud system aircraft rainfall enhancement route optimization design system, comprising:

[0066] An acquisition module, used for acquiring an initial rainfall enhancement route of the aircraft's parallel strip seeding;

[0067] A monitoring module, used to monitor the status information of the moving cloud system of the initial rainfall enhancement route;

[0068] A correction module is used to correct the initial rain-enhancement route based on the status information to obtain an optimized rain-enhancement route.

[0069] Preferably, the correction module corrects the initial rain enhancement route based on the state information to obtain an optimized rain enhancement route, including:

[0070] Dividing the initial rain enhancement route into a plurality of segments to be corrected; the initial rain enhancement route enables the aircraft to fly in a direction perpendicular to the high-altitude wind in the state information;

[0071] Traverse each segment to be corrected in turn;

[0072] Each time the traversal is performed, the straight line segment AB and the turning segment BF are determined from the traversed segments to be corrected;

[0073] Obtaining an actual track AB1 of the straight line segment AB affected by the crosswind factor in the state information;

[0074] Obtain the seeding strip A1B1 formed in the cloud by the aircraft flying along the actual track AB1;

[0075] Making corrections, including: controlling the aircraft to travel along the actual track AB1 according to the GPS mode or VOR area to increase rainfall;

[0076] The turning section BF is divided into OM section, PN section and MN section; the OM section and PN section are in the shape of a quarter circle, and the MN section is in the shape of a straight line;

[0077] Get a spreading strip E1F1 parallel to the spreading strip A1B1;

[0078] After the aircraft turns along the turning section BF, the actual position of the spreading strip A1B1 is the A2B2 section, and the actual position of the spreading strip E1F1 is the E2F2 section;

[0079] Based on the E2F2 segment, the turning segment BF is corrected.

[0080] Preferably, the steps for determining the E2 position and the F2 position in the E2F2 segment are as follows:

[0081] Assume the turning radius of the aircraft is R and the speed is V 飞机 , at the standard turning rate, it takes 120 seconds for the aircraft to turn a circle, so

[0082] 2×π×R=120×V 飞机 ;

[0083] The turning radius of the aircraft is:

[0084] R=19.1×V 飞机 ;

[0085] Assume that the time it takes for the aircraft to complete a turn is t. At a standard turning rate of 3° / s, it takes 30s to complete the OM segment and PN segment respectively. Then, the time it takes for the aircraft to perform the direct flight of the MN segment is t-60. The straight-line distance that the aircraft takes to turn from the starting point P on the PN segment to the starting point O on the OM segment is:

[0086] OP=2×R+(t-60)×(V飞机 -V 云 );

[0087] The distance the aircraft travels from point B1 at the end of the actual flight path AB1 to point F2 is:

[0088] B1F2=Dt×V 云 ;

[0089] Since B1F2=OP, we have:

[0090] Dt×V 云 =2×R+(t-60)×(V 飞机 -V 云 );

[0091] From the above formula, we can get the time taken by the aircraft to turn:

[0092] D is the strip spacing;

[0093] Then the distance the aircraft travels from point B1 at the end of the actual track AB1 to point F2 is: From this, the position of point F2 can be determined;

[0094] After the position of point F2 is determined, the length of segment E2F2 is W, the azimuth angles of the two points are constant, and the position of point E2 is determined.

[0095] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0096] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0098] Figure 1 Schematic diagram of a parallel strip sowing scheme according to an embodiment of the present invention;

[0099] Figure 2 A schematic diagram of an "S"-shaped flight route in an embodiment of the present invention;

[0100] Figure 3 is a schematic diagram of an actual spreading trajectory in an embodiment of the present invention;

[0101] Figure 4This is a schematic diagram of the revision of the design of the "S" type flight route in an embodiment of the present invention;

[0102] Figure 5 A schematic diagram of an aircraft turning route in an embodiment of the present invention;

[0103] Figure 6 A schematic diagram of a rainfall enhancement route in an embodiment of the present invention;

[0104] Figure 7 This is a schematic diagram of the operating catalytic diffusion zone after 40 minutes of sowing perpendicular to the wind direction in an embodiment of the present invention. DETAILED DESCRIPTION

[0105] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0106] The embodiment of the present invention provides a method for optimizing the design of aircraft rainfall enhancement routes in a mobile cloud system, such as Figure 1 As shown, including:

[0107] S1. Obtain the initial rainfall enhancement route of the aircraft's parallel strip seeding;

[0108] S2. Monitoring the status information of the moving cloud system of the initial rainfall enhancement route;

[0109] S3. Based on the status information, the initial rain-enhancing route is corrected to obtain an optimized rain-enhancing route.

[0110] The step S3, based on the state information, correcting the initial rainfall enhancement route to obtain an optimized rainfall enhancement route, comprises:

[0111] Dividing the initial rain enhancement route into a plurality of segments to be corrected; the initial rain enhancement route enables the aircraft to fly in a direction perpendicular to the high-altitude wind in the state information;

[0112] Traverse each segment to be corrected in turn;

[0113] Each time the traversal is performed, the straight line segment AB and the turning segment BF are determined from the traversed segments to be corrected;

[0114] Obtaining an actual track AB1 of the straight line segment AB affected by the crosswind factor in the state information;

[0115] Obtain the seeding strip A1B1 formed in the cloud by the aircraft flying along the actual track AB1;

[0116] Making corrections, including: controlling the aircraft to travel along the actual track AB1 according to the GPS mode or VOR area to increase rainfall;

[0117] The turning section BF is divided into OM section, PN section and MN section; the OM section and PN section are in the shape of a quarter circle, and the MN section is in the shape of a straight line;

[0118] Get a spreading strip E1F1 parallel to the spreading strip A1B1;

[0119] After the aircraft turns along the turning section BF, the actual position of the spreading strip A1B1 is the A2B2 section, and the actual position of the spreading strip E1F1 is the E2F2 section;

[0120] Based on the E2F2 segment, the turning segment BF is corrected.

[0121] The steps for determining the E2 position and F2 position in the E2F2 segment are as follows:

[0122] Assume the turning radius of the aircraft is R and the speed is V 飞机 , at the standard turning rate, it takes 120 seconds for the aircraft to turn a circle, so

[0123] 2×π×R=120×V 飞机 ;

[0124] The turning radius of the aircraft is:

[0125] R=19.1×V 飞机 ;

[0126] Assume that the time it takes for the aircraft to complete a turn is t. At a standard turning rate of 3° / s, it takes 30s to complete the OM segment and PN segment respectively. Then, the time it takes for the aircraft to perform the direct flight of the MN segment is t-60. The straight-line distance that the aircraft takes to turn from the starting point P on the PN segment to the starting point O on the OM segment is:

[0127] OP=2×R+(t-60)×(V 飞机 -V 云 );

[0128] The distance the aircraft travels from point B1 at the end of the actual flight path AB1 to point F2 is:

[0129] B1F2=Dt×V 云 ;

[0130] Since B1F2=OP, we have:

[0131] Dt×V 云 =2×R+(t-60)×(V 飞机 -V 云 );

[0132] From the above formula, we can get the time taken by the aircraft to turn:

[0133] D is the strip spacing;

[0134] Then the distance the aircraft travels from point B1 at the end of the actual track AB1 to point F2 is: From this, the position of point F2 can be determined;

[0135] After the position of point F2 is determined, the length of segment E2F2 is W, the azimuth angles of the two points are constant, and the position of point E2 is determined.

[0136] The working principle and beneficial effects of the above technical solution are:

[0137] The main observation equipment used in the flight route design experiment include: King B3523 rainmaking aircraft and GPS locator, and the data obtained include macroscopic records of the passengers on board.

[0138] In aircraft rainfall enhancement operations, the most commonly used is the parallel striping scheme, such as Figure 1 In this scheme, the catalyst is considered to be spread into the cloud as a "line source", with a diffusion width of D, a strip spacing of D, and a strip length of W (determined according to the cloud area), which can fully catalyze the appropriate cloud area. To achieve the parallel striping scheme, when designing the flight plan, it is generally selected Figure 2 The standard “S” flight route is shown in Figure 1. However, since any cloud intended for catalytic operation has a moving direction and speed, if the route is not corrected, the result will only be Figure 3 In the spreading trajectory shown (with the cloud as the reference system), the strips are not parallel, and the distance between the strips is greater than the catalyst diffusion width D. The catalyst belt is relatively scattered, and the purpose of sufficient spreading of the catalyst cannot be achieved in the target area. Therefore, when designing an "S" type route, it is necessary to consider the movement of clouds and revise it. The specific meaning of a moving cloud system is that when an aircraft is performing actual rainfall enhancement operations, the clouds in the cloud layer in which it is located are moving due to the action of the wind, which is called a moving cloud system. In general, aircraft operations usually assume that the clouds are not moving, as shown below. Figure 2 The S-shaped route shown in the figure is used to spread the catalyst. It is assumed that the strips are parallel to each other after spreading. Figure 1 The specific meaning of the parallel strip seeding scheme is: the aircraft is as follows Figure 2 The S-shaped route shown in the figure is used for seeding. If it is assumed that the cloud does not move, the seeding trajectory is parallel strip seeding, such as Figure 1 shown.

[0139] In actual aircraft rain enhancement business, when reporting flight plans to airspace control departments, there are roughly two situations: one is that the airspace control department only requires reporting the operation area, and the seeding route in the operation area can be temporarily set by the operation commander according to the cloud conditions and can be adjusted at any time. This is the most promising flight method to achieve the purpose of catalysis. The other is that the airspace control department requires that the flight plan be reported including the setting of the route, and it cannot be changed at will. This fixed flight method that does not consider the movement and changes of the cloud system is difficult to achieve reasonable catalysis of the cloud. This article mainly designs the flight route for the first situation, and the second situation can be slightly modified on the basis of the first situation.

[0140] In the "S" type flight route design, the aircraft flies in a direction perpendicular to the high-altitude wind, as can be seen from the revised schematic diagram of the "S" type flight route design ( Figure 4 ), the plane flies from point A to point B. Affected by the crosswind, the actual flight path of the plane is the red AB1 line in the figure. Since the cloud is moving, when the plane flies from point A to point B1, point A in the cloud also moves to point A1 at the same time, and the spreading strip formed in the cloud is A1B1. Therefore, in order to form the spreading strip A1B1 in the cloud, the plane can fly from point A to point B1 according to the GPS mode or VOR area navigation. In this mode, the plane can offset the deviation caused by the wind direction and fly in a straight line.

[0141] The plane flies from point A to point B1 to spread the A1B1 line. Next, to spread the E1F1 line, the turning part must be processed first. After the plane turns, the actual position of the spreading strip A1B1 is A2B2, and the actual position of E1F1 is E2F2, that is, it is necessary to find the starting point E2 of the E1F1 line after the plane turns. The turning of the plane is affected by many factors such as the speed of the plane, the wind direction and speed at high altitude, and the slope, so it is very difficult to calculate accurately. This paper uses the standard turning rate of the aircraft as 3° / s for design, which can simplify the processing.

[0142] Assume the turning radius of the aircraft is R and the speed is V 飞机 , at the standard turning rate, it takes 120 seconds for the aircraft to turn a circle, so

[0143] 2×π×R=120×V 飞机

[0144] The turning radius of the aircraft is R = 60 / π*V 飞机 ;

[0145] like Figure 5As shown in the schematic diagram of the aircraft turning route, the aircraft turning route is divided into three parts: OM and PN are both quarter circles, and the middle MN is a straight flight. Assuming that the time for the aircraft to complete the turn is t, at the standard turning rate, it takes 30s to complete the OM and PN segments respectively, and the MN direct flight takes t-60. The straight-line distance that the aircraft flies from point P to point O is:

[0146] OP=2×R+(t-60)×(V 飞机 -V 云 )

[0147] And in Figure 4 In the example, the distance the plane travels from turning B1 to F2 is:

[0148] B1F2=Dt×V 云

[0149] Since B1F2=OP, we have:

[0150] Dt×V 云 =2×R+(t-60)×(V 飞机 -V 云 )

[0151] From the above formula, we can get the time taken by the aircraft to turn:

[0152]

[0153] Therefore, as long as the strip spacing D is determined, the aircraft speed, high-altitude wind direction and wind speed can be measured on site, and the time taken by the aircraft to turn can be determined, and then the Figure 4 By analogy, the positions of the key points of the “S”-shaped flight route can be determined.

[0154] For the commonly used King Air 350 and Yun-12 aircraft, the flight speeds are generally 110m / s and 60m / s, respectively, and their turning radii are about 2.1km and 1.1km, respectively. Assuming the wind speed at high altitude is 15m / s and the catalyst diffusion width is 8km, the turning time is about 86s and 140s, respectively. The lengths of B1F2 are 6.7km and 5.9km, respectively.

[0155] The following is an example of a business application test:

[0156] From October 4 to 6, 2021, affected by the high-altitude trough and the northward movement of the subtropical high, most areas of Hebei Province had stable light to moderate rain, some areas had heavy rain, and some places had torrential rain. The precipitation center was located in the central and southern regions. According to the operational weather conditions, one rainmaking operation was carried out from 15:35 to 18:21 on the 4th, and the "S" type flight route design and flight technical requirements were tested and inspected.

[0157] According to the airborne observation data, the wind speed at an altitude of 5100m is 20m / s, the wind direction is 220°, and the flight speed of the King B3523 aircraft is about 100m / s. If the strip spacing is 10km, the sowing length is 30km, the heading angle is 310°, and the number of sowing strips is 3, the preset flight route can be calculated ( Figure 6 , black solid line) and the latitude and longitude coordinates of the turning points to guide the flight, where the latitude and longitude coordinates of the turning points are: ①115°06'28.00"E, 39°18'21.00"N; ②114°53'08.67"E, 39°31'16.43"N; ③114°49'38.30"E, 39°28'02.83"N; ④115°08'25.04"E, 39°20'08.88"N; ⑤115°04'55.22"E, 39°16'55.28"N; ⑥114°51'36.17"E, 39°29'50.72"N. The actual test route time was 17:01:36-17:18:12, which took 997s ( Figure 6 , red solid line), the theoretically calculated spreading time is about 1138s, a difference of about 141s. Figure 6 The comparison between the test route (red solid line) and the theoretical route (black solid line) shows that the main reason for the deviation between the test route and the theoretical route is that the turning mode is not manually set to the pressure point turn when the aircraft turns. From the actual test results, the turning time generally does not exceed 90s, which is smaller than the value used in the calculation. The actual average flight speed is 106m / s, which is 6m / s different from the flight speed used in the calculation, which makes the theoretical calculation of AB1 and B1F2 ( Figure 4 ) are 70m and 99m respectively. Find three points ( Figure 6 , green solid dot), calculate the position after 997s based on wind direction and speed ( Figure 6 , blue hollow square), it can be seen that the spreading strips are straight lines perpendicular to the wind direction, and the strips are parallel to each other.

[0158] In order to test whether the catalyst will form parallel strips when the aircraft flies according to the optimized "S" flight route, the actual diffusion area of ​​the aircraft catalysis on October 4, 2021 was calculated using the aircraft catalysis diffusion model. Figure 7 As shown, it can be seen that the actual trajectory after spreading is a straight line, and the catalyst can be fully spread after 40 minutes.

[0159] This application is aimed at the parallel seeding scheme. On the basis of fully considering the cloud movement speed, aircraft performance, etc., an optimized "S"-shaped flight route design method is proposed, and an "S"-shaped aircraft rainmaking operation route design system is developed. The longitude and latitude of the turning point of the operation route can be quickly determined, and ultimately parallel seeding can be achieved, in order to improve the precision of aircraft artificial rainmaking operations.

[0160] In one embodiment, the step S3, based on the state information, correcting the initial rain enhancement route to obtain an optimized rain enhancement route, includes:

[0161] Acquire training samples; the training samples include: a large number of parallel strip-seeding rainfall enhancement routes marked with route optimization design solutions and mobile cloud system status information;

[0162] Based on the training samples, the neural network model is trained to obtain the rainfall enhancement route optimization model;

[0163] The state information and the initial rain-enhancing route are input into a rain-enhancing route optimization model to obtain an optimized rain-enhancing route.

[0164] The working principle and beneficial effects of the above technical solution are:

[0165] The route optimization design scheme in the training sample indicates how to optimize the design of the parallel strip seeding rainfall enhancement route under the cloud system situation of mobile cloud system status information. The route optimization design scheme is an artificially formulated scheme for optimizing the design of the parallel strip seeding rainfall enhancement route under the cloud system situation of mobile cloud system status information. The mobile cloud system status information is the state of the mobile cloud system, such as wind direction, wind speed, etc. The parallel strip seeding rainfall enhancement route is a rainfall enhancement route formulated using the parallel strip seeding scheme. The rainfall enhancement route optimization model after training the neural network model based on the training sample can use the status information of the mobile cloud system to optimize the initial rainfall enhancement route to obtain the optimized rainfall enhancement route.

[0166] The embodiment of the present invention utilizes artificial intelligence to train a rain-enhancing route optimization model, optimizes the initial rain-enhancing route based on the rain-enhancing route optimization model combined with state information, obtains an optimized rain-enhancing route, and improves the efficiency of the initial rain-enhancing route optimization.

[0167] In one embodiment, when the initial rain enhancement route is corrected based on the state information, it also includes:

[0168] When the staff inputs a manual optimization request, a visualization model is constructed using the initial rain enhancement route, the status information of the moving cloud system, the correction process information of correcting the initial rain enhancement route based on the status information, and the segment to be corrected;

[0169] Displaying visual models to workers;

[0170] Acquire an intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model;

[0171] When the intention value is greater than or equal to the intention threshold, the corresponding segment to be corrected is used as the first target correction segment;

[0172] skipping the step of modifying the first target modification segment based on the state information;

[0173] The auxiliary staff shall make manual corrections to the first target correction segment.

[0174] The working principle and beneficial effects of the above technical solution are:

[0175] When the staff inputs a manual optimization request, it means that the staff wants to manually intervene to optimize the initial rainfall enhancement route; the correction process information includes: the principle process of correcting the initial rainfall enhancement route based on the state information (for example: correction basis, correction method, etc.), the comparison information of the route segments before and after the correction in the initial rainfall enhancement route, etc. The segment to be corrected is the remaining uncorrected segment when the initial rainfall enhancement route is corrected based on the state information; the visualization model is constructed using the initial rainfall enhancement route, the state information of the mobile cloud system, the correction process information of correcting the initial rainfall enhancement route based on the state information, and the segment to be corrected. When constructing, these information can be set It is placed on the aeronautical chart to obtain a visualization model, and the staff can view this information by viewing the visualization model; when the staff views the visualization model, they will express their intention to correct it and obtain the intention value, which represents the size of the intention; the intention threshold can be, for example, 8; when the intention value is greater than the intention threshold, it means that the staff has a greater intention to correct the corresponding segment to be corrected, as the first target correction segment; if the staff wants to correct the first target correction segment, the step of correcting the first target correction segment based on the status information is skipped, and the staff is assisted to manually correct the first target correction segment.

[0176] In actual applications, due to the particularly complex state of the mobile cloud system and the staff's desire to make temporary corrections to the rain-making route, the staff may correct some of the to-be-corrected segments in the initial rain-making route. However, generally, the staff is required to manually retrieve the basis information for determining which to-be-corrected segment they want to correct and check them one by one, which is not convenient and intuitive enough for information review. The embodiment of the present invention constructs a visualization model, and the user can view relevant information intuitively and conveniently by viewing the visualization model. The system also introduces an intention value to adaptively determine the first target correction segment that the staff wants to correct, and finally assists the staff to manually correct the first target correction segment, which greatly improves the user experience.

[0177] In one embodiment, obtaining the intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model includes:

[0178] Based on the preset event recognition template, identify the content to be paid attention to in the status information; the content to be paid attention to is the content in the status information that obviously reflects the existence of uncorrected sections and needs to be manually corrected by the staff, such as: wind direction information reflecting the complex wind direction of the moving cloud system, wind speed information reflecting the fast wind speed of the moving cloud system, etc.;

[0179] When the staff member views the visualization model and finds that the content to be paid attention to is included in the historical perspective, the corresponding historical perspective is used as the first target historical perspective; when the user views the visualization model, historical perspectives are generated. When a certain historical perspective contains the content to be paid attention to, it means that the user has seen the content to be paid attention to with the corresponding historical perspective in history, and the corresponding historical perspective is used as the first target historical perspective;

[0180] Obtaining a preset time direction corresponding to the content type of the content to be paid attention to; the time direction includes: before and after; the content type of the content to be paid attention to will indicate whether the staff will generate an operation representing that the staff wants to correct a certain segment to be corrected before or after the first target historical perspective is generated, for example: reflecting the complex wind direction information of the mobile cloud system, if the staff continues to pay attention to the wind direction of the mobile cloud system after viewing the wind direction information, it means that the staff may want to manually correct a certain segment to be corrected according to the complex wind direction, that is, the time direction is after;

[0181] Determine a second target correction segment affected by the content to be concerned from the segment to be corrected; the second target correction segment is the segment to be corrected affected by the content to be concerned, for example, if the content to be concerned is complex wind direction information of a mobile cloud system near a segment to be corrected, then the second target correction segment is the segment to be corrected;

[0182] Determine the second target historical perspective including the second target correction segment from the historical perspective generated within a preset first time in the time direction of generating the first target historical perspective when the staff views the visualization model; the first time may be, for example, 200 seconds; the second target historical perspective includes the second target correction segment, indicating that the second target correction perspective can specifically reflect whether the staff wants to manually correct the second target correction segment;

[0183] Based on a preset first characterization template, the second target historical perspective is characterized to obtain a plurality of first characteristic values; the plurality of first characteristic values ​​at least include: the duration of the staff continuously viewing the visualization model from the second target historical perspective, the time interval between adjacent second target historical perspectives in the historical perspective sequence, the type of visual content under the historical perspective between two second target historical perspectives in the historical perspective sequence, and the degree of overlap between adjacent second target historical perspectives in the historical perspective sequence; there are historical perspectives in the historical perspective sequence that were generated in sequence when the staff viewed the visualization model in history;

[0184] Based on the plurality of first eigenvalues, construct a first characteristic description factor;

[0185] Determine the intention value corresponding to the first feature description factor from the preset intention value library corresponding to the route type of the second target correction segment. Different first feature values ​​reflect the different degrees of intention of the staff to manually correct the second target correction segment; the longer the duration of continuously viewing the visualization model from the second target historical perspective, the more the staff pays attention to the second target correction segment, and the more it indicates that the staff wants to manually correct the second target correction segment; the smaller the time interval between adjacent second target historical perspectives in the historical perspective sequence, the shorter the time gap when the user pays attention to the second target correction segment, and the more it indicates that the staff wants to manually correct the second target correction segment; the visual content type under the historical perspective between two second target historical perspectives in the historical perspective sequence can be nearby other segments to be corrected except the second target correction segment. The visual content type can also reflect the staff's intention to manually correct the second target correction segment, such as the mobile cloud system wind direction and other information of the segments to be corrected other than the second target correction segment. This means that when comparing the mobile cloud system wind direction of the second target correction segment with that of other segments to be corrected, the staff is more willing to manually correct the second target correction segment. The greater the overlap between adjacent second target historical perspectives in the historical perspective sequence, the higher the user's attention to the second target correction segment, and the more the staff is willing to manually correct the second target correction segment. The preset intention value library corresponding to the route type of the second target correction segment has intention values ​​corresponding to different first feature description factors.

[0186] When obtaining the intention value of the staff's intention to revise the segment to be revised based on the visualization model, the embodiment of the present invention starts from the first target historical perspective, introduces the preset time direction corresponding to the content type of the content to be paid attention to, quickly determines the second target historical perspective that can be used as a basis for intention determination, extracts the first feature value, and quickly determines the intention value in combination with the intention value library, thereby improving the efficiency and accuracy of intention value acquisition.

[0187] In one embodiment, the auxiliary staff manually corrects the first target correction segment, including:

[0188] Obtaining the correction progress of the staff's manual correction of the first target correction section; when the staff corrects the first target correction section, the correction progress will be generated, for example: correcting the starting point of a certain turning section, etc.;

[0189] Determine the correction auxiliary strategy corresponding to the correction progress from the preset correction auxiliary strategy library corresponding to the route type of the second target correction segment; the correction auxiliary strategy includes: multiple groups of one-to-one corresponding prompt information mapping relationships and mapping timing conditions; the route type is divided into a straight segment, a left turn segment, and a right turn segment; the correction auxiliary strategy library contains correction auxiliary strategies corresponding to different correction progresses for correction assistance of the route type; the correction auxiliary strategy contains one-to-one corresponding prompt information mapping relationships and mapping timing conditions, and when the staff meets the mapping timing conditions, it is necessary to prompt the staff with the mapping content of the corresponding prompt information mapping relationship, for example: the mapping time condition is that the staff selects a certain trajectory point, and the corresponding prompt information mapping relationship is to display the wind direction and wind speed of the relevant mobile cloud system of the trajectory point;

[0190] determining whether the worker meets any mapping opportunity condition;

[0191] When the conditions are met, the mapping content is retrieved from the visualization model based on the information mapping relationship corresponding to the mapping timing conditions met by the staff member;

[0192] Based on a preset second characterization template, the mapping content and the historical perspective generated by the staff viewing the visualization model within a second time period recently preset by the staff are characterized to obtain a plurality of second characteristic values; the plurality of second characteristic values ​​at least include: the content size and content type of the mapping content, and the overlapping visual area of ​​the historical perspective generated by the staff viewing the visualization model within the second time period recently preset by the staff; the second time period may be, for example, 50 seconds;

[0193] Based on the plurality of second eigenvalues, construct a second characteristic description factor;

[0194] Determine the auxiliary execution scheme corresponding to the second feature description factor from the preset auxiliary execution scheme library; the auxiliary execution scheme is to set an appropriate content display frame in the visualization model according to the content size and content type of the mapped content, and the position of the content display frame should avoid the overlapping visual area of ​​the historical perspective generated by the staff viewing the visualization model within the second time preset recently; so that when the auxiliary execution scheme is executed in the visualization model, it is not only guaranteed that the staff will receive a prompt, but also that the manual correction work of the staff will not be affected as usual;

[0195] Execute assisted execution scenarios within the visual model.

[0196] The embodiment of the present invention provides a system for optimizing the design of aircraft rainfall enhancement routes in a mobile cloud system, such as Figure 2 As shown, including:

[0197] An acquisition module 1 is used to acquire an initial rainfall enhancement route of the parallel strip seeding of the aircraft;

[0198] Monitoring module 2, used to monitor the status information of the moving cloud system of the initial rainfall enhancement route;

[0199] The correction module 3 is used to correct the initial rain-enhancing route based on the state information to obtain an optimized rain-enhancing route.

[0200] The correction module corrects the initial rain enhancement route based on the state information to obtain an optimized rain enhancement route, including:

[0201] Dividing the initial rain enhancement route into a plurality of segments to be corrected; the initial rain enhancement route enables the aircraft to fly in a direction perpendicular to the high-altitude wind in the state information;

[0202] Traverse each segment to be corrected in turn;

[0203] Each time the traversal is performed, the straight line segment AB and the turning segment BF are determined from the traversed segments to be corrected;

[0204] Obtaining an actual track AB1 of the straight line segment AB affected by the crosswind factor in the state information;

[0205] Obtain the seeding strip A1B1 formed in the cloud by the aircraft flying along the actual track AB1;

[0206] Making corrections, including: controlling the aircraft to travel along the actual track AB1 according to the GPS mode or VOR area to increase rainfall;

[0207] The turning section BF is divided into OM section, PN section and MN section; the OM section and PN section are in the shape of a quarter circle, and the MN section is in the shape of a straight line;

[0208] Get a spreading strip E1F1 parallel to the spreading strip A1B1;

[0209] After the aircraft turns along the turning section BF, the actual position of the spreading strip A1B1 is the A2B2 section, and the actual position of the spreading strip E1F1 is the E2F2 section;

[0210] Based on the E2F2 segment, the turning segment BF is corrected.

[0211] The steps for determining the E2 position and F2 position in the E2F2 segment are as follows:

[0212] Assume the turning radius of the aircraft is R and the speed is V 飞机, at the standard turning rate, it takes 120 seconds for the aircraft to turn a circle, so

[0213] 2×π×R=120×V 飞机 ;

[0214] The turning radius of the aircraft is:

[0215] R=19.1×V 飞机 ;

[0216] Assume that the time it takes for the aircraft to complete a turn is t. At a standard turning rate of 3° / s, it takes 30s to complete the OM segment and PN segment respectively. Then, the time it takes for the aircraft to perform the direct flight of the MN segment is t-60. The straight-line distance that the aircraft takes to turn from the starting point P on the PN segment to the starting point O on the OM segment is:

[0217] OP=2×R+(t-60)×(V 飞机 -V 云 );

[0218] The distance the aircraft travels from point B1 at the end of the actual flight path AB1 to point F2 is:

[0219] B1F2=Dt×V 云 ;

[0220] Since B1F2=OP, we have:

[0221] Dt×V 云 =2×R+(t-60)×(V 飞机 -V 云 );

[0222] From the above formula, we can get the time taken by the aircraft to turn:

[0223] D is the strip spacing;

[0224] Then the distance the aircraft travels from point B1 at the end of the actual track AB1 to point F2 is: From this, the position of point F2 can be determined;

[0225] After the position of point F2 is determined, the length of segment E2F2 is W, the azimuth angles of the two points are constant, and the position of point E2 is determined.

[0226] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for optimizing the design of aircraft rainfall enhancement routes in a mobile cloud system, characterized in that: include: S1. Obtain the initial rainfall enhancement route of the aircraft's parallel strip seeding; S2. Monitoring the status information of the moving cloud system of the initial rainfall enhancement route; S3. Based on the state information, the initial rain-enhancing route is corrected to obtain an optimized rain-enhancing route; Based on the state information, the initial rainfall enhancement route is corrected, including: When the staff inputs a manual optimization request, a visualization model is constructed using the initial rain enhancement route, the status information of the moving cloud system, the correction process information of correcting the initial rain enhancement route based on the status information, and the segment to be corrected; Displaying visual models to workers; Acquire an intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model; When the intention value is greater than or equal to the intention threshold, the corresponding segment to be corrected is used as the first target correction segment; skipping the step of modifying the first target modification segment based on the state information; Assisting staff to manually correct the first target correction segment; The auxiliary staff manually corrects the first target correction segment, including: Obtaining the correction progress of the staff member's manual correction of the first target correction segment; Determine a correction auxiliary strategy corresponding to the correction progress from a preset correction auxiliary strategy library corresponding to the route type of the second target correction segment; the correction auxiliary strategy includes: a plurality of groups of one-to-one corresponding prompt information mapping relationships and mapping timing conditions; determining whether the worker meets any mapping opportunity condition; When the conditions are met, the mapping content is retrieved from the visualization model based on the information mapping relationship corresponding to the mapping timing conditions met by the staff member; Based on a preset second characterization template, characterization processing is performed on the mapping content and the historical perspective generated by the staff viewing the visualization model within the second time period recently preset, to obtain multiple second characteristic values; the multiple second characteristic values ​​at least include: the content size and content type of the mapping content, and the overlapping visual area of ​​the historical perspective generated by the staff viewing the visualization model within the second time period recently preset; Based on the plurality of second eigenvalues, construct a second characteristic description factor; Determine an auxiliary execution scheme corresponding to the second feature description factor from a preset auxiliary execution scheme library; Execute assisted execution scenarios within the visual model.

2. The method for optimizing the design of aircraft rainfall enhancement routes in a mobile cloud system according to claim 1, characterized in that: The obtaining of the intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model includes: Based on the preset event recognition template, identify the content of attention in the status information; When the staff member views the historical perspective of the visualization model and finds that the content to be paid attention to is included, the corresponding historical perspective is used as the first target historical perspective; Obtaining a preset time direction corresponding to the content type of the content to be focused on; the time direction includes: front and back; Determine a second target revision segment affected by the content to be concerned from the segment to be revised; Determine a second target historical perspective including the second target correction segment from a historical perspective generated within a preset first time in the time direction of generating the first target historical perspective when the staff views the visualization model; Based on a preset first characterization template, the second target historical perspective is characterized to obtain a plurality of first characteristic values; the plurality of first characteristic values ​​at least include: the duration of the staff member continuously viewing the visualization model from the second target historical perspective, the time interval between adjacent second target historical perspectives in the historical perspective sequence, the type of visual content under the historical perspective between two second target historical perspectives in the historical perspective sequence, and the degree of overlap between adjacent second target historical perspectives in the historical perspective sequence; Based on the plurality of first eigenvalues, construct a first characteristic description factor; The intention value corresponding to the first feature description factor is determined from a preset intention value library corresponding to the route type of the second target correction segment.

3. A mobile cloud system aircraft rainfall enhancement route optimization design system, characterized in that: include: An acquisition module, used for acquiring an initial rainfall enhancement route of the aircraft's parallel strip seeding; A monitoring module, used to monitor the status information of the moving cloud system of the initial rainfall enhancement route; A correction module, used for correcting the initial rain enhancement route based on the state information to obtain an optimized rain enhancement route; The correction module corrects the initial rain enhancement route based on the state information to obtain an optimized rain enhancement route, including: When the staff inputs a manual optimization request, a visualization model is constructed using the initial rain enhancement route, the status information of the moving cloud system, the correction process information of correcting the initial rain enhancement route based on the status information, and the segment to be corrected; Displaying visual models to workers; Acquire an intention value of the staff member's intention to revise the to-be-revised segment based on the visualization model; When the intention value is greater than or equal to the intention threshold, the corresponding segment to be corrected is used as the first target correction segment; skipping the step of modifying the first target modification segment based on the state information; Assisting staff to manually correct the first target correction segment; The auxiliary staff manually corrects the first target correction segment, including: Obtaining the correction progress of the staff member's manual correction of the first target correction segment; Determine a correction auxiliary strategy corresponding to the correction progress from a preset correction auxiliary strategy library corresponding to the route type of the second target correction segment; the correction auxiliary strategy includes: a plurality of groups of one-to-one corresponding prompt information mapping relationships and mapping timing conditions; determining whether the worker meets any mapping opportunity condition; When the conditions are met, the mapping content is retrieved from the visualization model based on the information mapping relationship corresponding to the mapping timing conditions met by the staff member; Based on a preset second characterization template, characterization processing is performed on the mapping content and the historical perspective generated by the staff viewing the visualization model within the second time period recently preset, to obtain multiple second characteristic values; the multiple second characteristic values ​​at least include: the content size and content type of the mapping content, and the overlapping visual area of ​​the historical perspective generated by the staff viewing the visualization model within the second time period recently preset; Based on the plurality of second eigenvalues, construct a second characteristic description factor; Determine an auxiliary execution scheme corresponding to the second feature description factor from a preset auxiliary execution scheme library; Execute assisted execution scenarios within the visual model.

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