CN114550508A - Training machine intelligent position management system, method, device and storage medium - Google Patents
Training machine intelligent position management system, method, device and storage medium Download PDFInfo
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Abstract
The application relates to an intelligent position management system, a method, a device and a storage medium of a training machine, belonging to the field of intelligent position management, wherein the method comprises responding to an RTK module to output longitude and latitude information of a selected training machine; the longitude and latitude information of the training machine is embodied on the longitude and latitude plane of the display screen, the training machines with different altitudes are distinguished through marks with different colors, the training machine with the same altitude is extracted from the display screen, and the flight track of the training machine is predicted; and judging whether the training machines have collision risks or not according to the prediction of the flight tracks of the training machines at the same altitude, and if so, dynamically marking the two training machines with the collision risks on a display screen at the same time for warning. This application has management platform and machine carries out real-time communication with machine-mounted terminal, transmits information each other, has made things convenient for the effect to the management of training machine.
Description
Technical Field
The present application relates to the field of intelligent location management, and in particular, to a system, a method, an apparatus, and a storage medium for intelligent location management of a training machine.
Background
The training machine is generally a small helicopter, which is used for training flight skills of pilots, and is generally required to be monitored and managed in order to ensure the normative and safety of training.
The flight training command department of the training machine grasps the flight condition of the training machine by means of the radar plot and conducts command and scheduling through air-ground communication. And for special situations occurring in the air, a voice radio station is used for carrying out air-ground communication. The evaluation of the training effect of the flight can be generally carried out after the flight, and the working condition of the airborne equipment can be only comprehensively given by the introduction of the pilot and the ground inspection after the flight.
The single flight command and flight training quality monitoring means cannot monitor the flight tracks of all the training machines in the air in real time, and the condition of collision with other training machines can be caused because the real-time positions of the training machines cannot be known in time.
Disclosure of Invention
In order to solve the problem that flight tracks of all training machines in the air cannot be monitored in real time, and the situation of collision with other training machines possibly occurs because the real-time positions of the training machines cannot be known in time, the invention provides an intelligent position management system, method, device and storage medium for the training machines.
In a first aspect, the present application provides a method for managing an intelligent position of a training machine, which adopts the following technical scheme:
a training machine intelligent position management method comprises the following steps:
acquiring longitude and latitude information and altitude information of a training machine;
the longitude and latitude information of the training machine is embodied on the longitude and latitude plane of the display screen, the training machines with different altitudes are distinguished, the training machine with the same altitude is extracted from the display screen, and the flight track of the training machine is predicted;
predicting the flight path of the training plane at the same altitude;
judging whether the training machines have collision risks or not;
and if the collision risk exists, dynamically marking the two training machines with the collision risk on the display screen at the same time for warning.
By adopting the technical scheme, the flight track of the training machine is predicted after the longitude and latitude information of the training machine is received, so that whether the risk of collision exists between the training machines is judged, a collision warning is displayed on the display, a manager at the management platform can timely inform corresponding personnel of the training machine to avoid, the management platform is in real-time communication with the airborne terminal, the information is mutually transmitted, and the management of the training machines is facilitated.
Optionally, the method for predicting the flight trajectory of the training machine includes the steps of embodying longitude and latitude information of the training machine on a longitude and latitude plane of a display screen, distinguishing training machines with different altitudes through marks with different colors, extracting the training machine with the same altitude from the display screen, and predicting the flight trajectory of the training machine:
when the altitude information of the selected training machine has two or more same values, the flight path of the training machine with the altitude is preferentially predicted.
By adopting the technical scheme, theoretically, only the training machines in the same altitude range have the risk of collision, so that the flight trajectory of the training machine at the altitude position where the same altitude has the altitude equal to or more than two training machines is preferentially predicted, the crisis of collision can be solved in advance, and the management efficiency is improved.
Optionally, when the altitude information of the training machine is selected and the received altitude information has two or more same values, the method further includes, after preferentially predicting the flight trajectory of the training machine at the altitude:
reading flight track information for predicting the training machine and judging whether the altitude of the training machine changes or not;
when the altitude of the training machine is changed, the flight tracks of all the training machines at the changed altitude of the training machine are predicted again.
By adopting the technical scheme, when the altitude of the training machine is changed, the training machines corresponding to the training machine on the same altitude are different, so that the flight tracks of the training machine on the changed altitude are possibly in conflict with each other, when the change of the altitude of the training machine is detected, the flight tracks of all the training machines on the changed altitude of the training machine are predicted again, and the risk of collision can be avoided in advance.
Optionally, the method for predicting the flight trajectory of the training machine includes the steps of embodying longitude and latitude information of the training machine on a longitude and latitude plane of the display screen and distinguishing the training machines with different altitudes through marks with different colors, extracting the training machine with the same altitude from the display screen, and further including:
the positions of all the training machines at different altitudes are read, and the positions of all the training machines at the same altitude are sent to all the training machines at the altitude.
Through adopting above-mentioned technical scheme, personnel on the training machine can learn self position for the position of other training machines of same height above sea level scope to learn near training machine of self and have the training machine of the risk of colliding with self in advance, be convenient for in time avoid.
Optionally, the reading the positions of all the training machines at different altitudes and sending the positions of all the training machines at the same altitude to all the training machines at the altitude includes:
and the position information of all the training machines on the same altitude sent to the training machines is updated in real time according to the change of the altitude positions of the training machines.
By adopting the technical scheme, the training machine can update the positions of other training machines at the altitude and the predicted flight tracks of other training machines according to the altitude of the training machine, so that the flight track of the training machine can be adjusted, and the training machine is prevented from colliding with other training machines.
Optionally, the method for predicting the flight trajectory of the training machine includes the steps of embodying longitude and latitude information of the training machine on a longitude and latitude plane of a display screen, distinguishing training machines with different altitudes through marks with different colors, extracting the training machine with the same altitude from the display screen, and predicting the flight trajectory of the training machine specifically:
receiving the flight track of the training machine in real time, and judging whether the actual flight track of the training machine is consistent with the predicted flight track;
when the actual flight track of the training machine is consistent with the predicted flight track, the prediction is determined to be correct, and the flight track of the training machine is continuously monitored;
and when the actual flight track of the training machine is inconsistent with the predicted flight track, determining that the prediction is wrong, receiving the actual flight track of the training machine, predicting the flight track of the training machine again according to the actual flight track of the training machine, and judging whether the training machines have collision risks.
Through adopting above-mentioned technical scheme, according to the condition of difference, the flight track of training machine probably changes, and the training machine feeds back the actual flight track of self to the communication basic station in real time, and the communication basic station carries out the comparison with the actual flight track of training machine and the anticipated flight track of other training machines on the height above sea level that the training machine is located to judge whether the actual flight track of training machine can collide with other training machines, thereby warn the training machine.
In a second aspect, the present application provides a training machine intelligent position management platform, which adopts the following technical scheme:
a training machine intelligent position management platform, comprising:
the memory is used for storing longitude and latitude information and altitude information of the training machine and a predicted flight track of the training machine;
and the processor executes the steps of the training machine intelligent position management method.
By adopting the technical scheme, the intelligent position management method of the training machine is presented in the form of computer readable codes and stored in the memory, and when the processor runs the computer readable codes in the memory, the steps of the intelligent position management method of the training machine are executed, so that the effects of improving the information transmission efficiency and facilitating the management of the training machine are obtained.
In a third aspect, the present application provides a training machine intelligent position management system, which adopts the following technical scheme:
the intelligent position management system for the training machine comprises an airborne terminal, the management platform and a communication base station, wherein the airborne terminal is arranged on the training machine, the management platform and the communication base station are communicated and connected with each other through the communication base station, and the airborne terminal comprises an RTK module, a communication module, a gyroscope and an inertial element;
the RTK module is used for acquiring the longitude, latitude and altitude of the airplane so as to realize the positioning of the airplane;
the communication module is used for being matched with the communication base station on the ground to realize the communication between the training machine and the ground;
the gyroscope is used for acquiring the flight attitude of the training machine;
and the inertial element is used for acquiring the flight speed of the training machine.
By adopting the technical scheme, the position, the posture and the speed of the training machine are monitored, the real-time communication with personnel in the training machine is realized, and the management of the training machine is facilitated.
Optionally, the airborne terminal is fixedly arranged on the abdomen of the training machine, the airborne terminal is connected with a router of the training machine, and the router is used for being connected with a mobile phone inside the training machine.
Through adopting above-mentioned technical scheme, the fixed belly that sets up in the training machine of machine-carried terminal avoids trompil violating rules and regulations on the training machine on the one hand, and on the other hand is favorable to better and the communication base station communication on ground than setting up inside the training machine.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by a processor to implement the method of intelligent position management of a training machine.
By adopting the technical scheme, the corresponding program can be stored, the information transmission efficiency is improved, and the training machine can be conveniently managed.
In summary, the present application includes at least one of the following beneficial technical effects:
1. after receiving longitude and latitude information of the training machines, predicting flight tracks of the training machines so as to judge whether the training machines have collision risks, and timely informing personnel of the corresponding training machines to avoid the collision risks, so that real-time communication between a management platform and an airborne terminal is realized, and the training machines are conveniently managed;
2. the flight path of the training machine at the position with the same altitude and the altitude equal to or greater than the altitude of the two training machines is predicted preferentially, so that the processing efficiency is improved;
3. personnel on the training machine can know the position of the training machine per se and the positions of other training machines in the same altitude range, so that the training machines near the training machine per se and the training machines with collision risks with the training machine per se can be known in advance, and the avoidance can be realized in time.
Drawings
Fig. 1 is a block diagram of an overall structure of a training machine intelligent position management system in an embodiment of the present application.
Fig. 2 is a schematic flowchart of a method for training an intelligent position of a machine in the embodiment of the present application.
Description of reference numerals: 1. an airborne terminal; 11. an RTK module; 12. a communication module; 13. a gyroscope; 14. an inertial element; 2. a management platform; 3. a communication base station; 4. a router.
Detailed Description
The present embodiments are only illustrative and not restrictive, and those skilled in the art can make modifications to the embodiments without inventive contribution as required after reading the present specification, but the technical solutions in the embodiments of the present application will be described clearly and completely in the following claims with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Embodiments of a training engine intelligent position management system, method, apparatus, and storage medium according to the present invention are described in further detail below with reference to the accompanying drawings.
An embodiment of the application discloses a training machine intelligent position management system. Referring to fig. 1, an intelligent position management system for a training machine comprises an onboard terminal 1 configured on the training machine, a management platform 2 configured in a ground command center, and a communication base station 3. The management platform 2 comprises a memory and a processor, wherein the memory is used for storing longitude and latitude information and altitude information of the training machine and a predicted flight track of the training machine; the processor is used for executing the steps of the training machine intelligent position management method. The intelligent position management method of the training machine is presented in the form of computer readable codes and stored in the memory, and when the processor runs the computer readable codes in the memory, the steps of the intelligent position management method of the training machine are executed to obtain the effects of improving the information transmission efficiency and facilitating the management of the training machine. The on-board terminal 1 includes an RTK module 11, a communication module 12, a gyroscope 13, and an inertial element 14. The RTK module 11 is used for positioning the training machine, and the specifically acquired positioning information includes the longitude and latitude and the altitude of the training machine. The communication direction of the communication module 12 faces the ground, and the communication module 12 is used for being matched with the communication base station 3 on the ground, so that the communication between the training machine and the management platform 2 is realized. The gyroscope 13 is used for acquiring the flight attitude of the training machine, and the inertial element 14 is used for acquiring the flight speed of the training machine. Airborne terminal 1 is fixed through sticky mode and is set up the belly at the training machine, avoids holing the violation on the training machine on the one hand, and on the other hand is favorable to better and the communication of 3 basic communication stations on ground than setting up in training set inside.
In practice, a communication base station 3 has a communication distance of thirty kilometers, and the flight altitude of the training machine is generally within sixteen kilometers. Taking one of the training machines as an example, the airborne terminal 1 acquires the position, the posture and the speed of the current training machine, the management platform 2 realizes the monitoring of the position, the posture and the speed of the training machine through the communication base station 3, and personnel in the management platform 2 communicate with personnel in the current training machine in real time through a monitoring result, so that the current training machine is conveniently monitored, and the position information of other training machines and the set flight track of the training machine are conveniently transmitted to the current training machine.
The airborne terminal 1 is connected with a router 4 of the training machine, and the router 4 is used for being connected with a mobile phone inside the training machine. In implementation, the router 4 enables the training machine to be internally provided with a wireless network, so that personnel can normally use the mobile phone, and the personnel in the training machine can conveniently communicate with the personnel in the management platform 2.
Specifically, a satellite antenna for receiving satellite signals is installed at the top of the training machine, the satellite signals are divided into different operators, and different wave bands provided by the operators are different. Currently, the frequency division of satellite communication mainly includes L, S, C, Ku, Ka frequency bands. For an aviation onboard satellite communication system, a Ku-band satellite is currently used more commonly. Satellite antenna on the training machine connects the satellite, has arranged 4 APs on one training machine, can realize wireless internet access through the record wireless AP hotspot.
The following describes the implementation of the intelligent position management method of the training machine in detail with reference to the intelligent position management system of the training machine:
referring to fig. 2, another embodiment of the present application provides a method for intelligent position management of a training machine, including:
s10, acquiring the position information of the training machine;
the position information of the training machine comprises the longitude and latitude and the altitude of the training machine, and the received longitude and latitude and altitude of the training machine have real-time performance.
In one embodiment, the position information of the exercise machine is transmitted via satellites in the form of satellite signals.
Due to the multipath effect of satellite signals and refraction and reflection of the satellite signals in the atmosphere, when the satellite positioning accuracy is affected by external factors, the flight path offset of the training machine is caused.
Specifically, the external factor influence may include several factors, such as:
having a constant impact on satellite signals: such as: weather characteristics, climate characteristics, etc.;
having a transient effect on the satellite signal: such as: passing through a windbreak forest; due to the arrangement of the windbreaker, certain penetration loss exists in the satellite signal in the reflection process, and the strength of the satellite signal is further influenced.
In another embodiment, to reduce the influence of external factors on the satellite signals, the longitude and latitude and altitude of the training machine are monitored in real time by the RTK module 11. The RTK module 11 is a real-time differential GPS technique based on carrier phase observation, which is a measurement method capable of obtaining centimeter-level positioning accuracy in real time.
Specifically, a base station closest to the training machine is selected, the influence of the atmosphere received when the satellite signals are received is basically close due to the fact that the base station is close to the training machine, the coordinates of the position where the base station is known are obtained, new difference is made between the coordinates provided by the satellite signals and original data, and the difference result is informed to the training machine, so that a high-precision result is obtained.
After the position information is obtained by monitoring the longitude and latitude and the altitude of the training machine in real time through the RTK module 11, the detected longitude and latitude information and altitude information of the training machine are fed back to the management platform 2 in real time through the communication base station 3, and personnel in the management platform 2 uniformly control the training machine.
S20, representing longitude and latitude information of the training machine on a longitude and latitude plane of the display screen, and distinguishing the training machines with different altitudes;
wherein, each training machine shows as a light spot on the display screen, and specific warp and weft have been marked on the display screen, through observing the training machine at the planar specific position of longitude and latitude to learn the specific longitude and latitude of training machine, thereby judge the specific position of training machine.
In one embodiment, each light point representing the training machine is marked with the real-time altitude of the training machine, and personnel in the management platform divides the altitude into a plurality of sections, such as: the flight height of the training machine is generally 7000 m to 12000 m at an altitude, and is divided into one interval every 200 m, as shown in table 1 below:
if the altitudes of the reading training machines are 7.3 kilometers, 7.6 kilometers, 7.7 kilometers and 11.4 kilometers respectively, the training machine with the altitude of 7.6 kilometers and the training machine with the altitude of 7.7 kilometers are both positioned in the fourth interval, so that the training machine with the altitude of 7.6 kilometers and the training machine with the altitude of 7.7 kilometers are managed together, and the distance between the two training machines is monitored in real time.
In another embodiment, only the specific longitude and latitude information of the training machine can be observed on the longitude and latitude plane, the training machines in the same altitude are marked by light spots of the same color through the display screen, the distance between the training machines in the same altitude is known through observing the positions of the light spots of the same color, and the personnel can distinguish the training machines in different altitudes. The colors of the trainer displayed on the longitude and latitude planes change with the actual altitude of the trainer.
S30, predicting flight trajectories of all training machines at the same altitude;
the flight path of the training machine is set before takeoff, and the preset flight path is determined according to the training requirement or the starting point and the falling point of the training machine.
The setting of the flight path of the training machine is influenced by various factors, such as:
number of training machines: the training machines taking off at the same time point are more in number, the training machines in the same altitude are also more in number, and the flight tracks of all the training machines in the same altitude are avoided when the flight tracks of the training machines are set, so that the collision between the training machines in the same altitude is reduced.
Training a plan: different training plans set by different training machines may influence the flight path setting of other training machines. The method comprises the following steps: when the training machine carries out start-stop training, the flight tracks of other training machines need to avoid the start-stop range for starting and stopping the training machine, so that the flight tracks between the training machines are not influenced by each other.
Due to the uncertainty of the external factors, the predetermined flight trajectory may be deviated. Therefore, the flight paths of the training machines need to be predicted in advance so as to detect whether the flight paths of the training machines conflict or not.
Specifically, the factors affecting the flight trajectory of the training machine may include several factors, such as:
weather effects: when a thundercloud layer appears on the preset flight track, the training machine needs to be flown away.
Emergency start and stop of other training machines: the altitude at which other exercise machines are brought to emergency start-stop and the drop line during take-off or landing will always change.
In one embodiment, when a cloud cover is detected and the training machine deviates from a predetermined flight trajectory, the flight trajectory of the training machine is predicted based on the thickness, area and steering of the cloud cover. Specifically, according to the turning of the training machine, the distance between the training machine and the edge of the thundercloud layer where the training machine faces is calculated, a safety distance of 500 meters is reserved, the training machine flies for 500 meters after turning to the distance between the training machine and the edge of the thundercloud layer where the training machine faces, and when the training machine flies to the position 500 meters outside the edge of the thundercloud layer, the flying direction is adjusted to fly linearly until the training machine flies through the thundercloud layer. The training plane flies towards the original flight track after flying through the thunder cloud layer, and the flight track of the training plane is predicted in conclusion.
If the flight path of the training machine is on the driving route of the emergency start-stop training machine, when the training machine is detected to deviate from the preset flight path, the flight path of the training machine is predicted according to the range of the emergency start-stop of other training machines and the steering direction of the training machine. Specifically, a dangerous area is divided by taking a position where the emergency start-stop training machine starts to land as a starting point and taking a connecting line between the position where the emergency start-stop training machine starts to land and a position where the emergency start-stop training machine finishes to land as a diagonal line. According to the steering of the training machine, the distance between the training machine and the edge of the dangerous area where the training machine faces is calculated, a safety distance of 500 meters is reserved, the training machine flies for 500 meters after flying along the direction of the training machine and the distance between the training machine and the edge of the dangerous area where the training machine faces, and when the training machine flies to the position 500 meters outside the edge of the dangerous area, the flying direction is adjusted to fly in a straight line until the training machine flies through the dangerous area. After flying through the dangerous area, the training aircraft flies towards the original flight track, and the flight track of the training aircraft is predicted in conclusion.
In another embodiment, in order to reduce the workload of the management platform 2, the following process may be performed before S30: when the flight path of the training machine is predicted, the flight path of the training machine on the altitude with two or more training machines at the same altitude is preferentially predicted. Theoretically, only training machines in the same altitude range have the risk of collision, so that the priority for predicting the flight path of the training machines is set, the training machines with higher collision risk can be preferentially predicted, and the collision among the training machines in the same altitude range is avoided.
The predicted priority is determined according to the number of training machines in the same altitude range, and the higher the number of training machines in the same altitude range is, the higher the predicted priority is.
S40, judging whether the training machines at the same altitude have the risk of collision according to the predicted flight tracks of the training machines;
in implementation, when the predicted flight path of the training machine intersects with the predicted flight paths of other training machines in the same altitude area, the two training machines with the overlapped predicted flight paths are determined to have collision risks.
S50, when collision risks exist, two training machines with collision risks are dynamically marked on the longitude and latitude plane of the display screen at the same time so as to achieve the warning purpose;
in implementation, the two training machines with collision risks twinkle on the display screen to remind people of collision risks between the training machines. Personnel in the management platform 2 reset the flight trajectories of the two training machines by observing the predicted flight trajectories of the two training machines, so that the flight trajectories of the two training machines do not conflict with each other, and the newly set flight trajectories do not conflict with the flight trajectories of other training machines in the same altitude interval. The personnel of the management platform 2 send the set flight path to the driver on the training machine, so that the driver changes the flight path of the driver, and the condition of collision between the training machines is avoided.
In one embodiment, the signal transmission among the onboard terminal 1, the management platform 2 and the communication base station 3 is real-time, and when the altitude of the training machine changes, the received information sent by the communication base station 3 changes. The RTK module 11 outputs longitude and latitude information and altitude information of the training machine and transmits the longitude and latitude information and the altitude information to the communication base station 3; the communication base station 3 transmits longitude and latitude information and altitude information of the training machine to the management platform 2, and the management platform 2 predicts the flight track of the training machine; the management platform 2 transmits the specific positions and the predicted flight path information of all the training machines to the communication base station 3, and the communication base station 3 feeds back the specific positions and the predicted flight path information of all the training machines on the same altitude to the corresponding airborne terminal 1.
The actual altitude of the training machine may have an error with the preset altitude, and when the actual altitude has an error with the preset altitude, the training machine is different in other training machines corresponding to the same altitude, which may affect the prediction of the collision condition of the training machine.
In another embodiment, it is necessary to receive altitude information of the training machine in real time, and when the detected actual altitude is not consistent with the preset altitude, the flight trajectory of the training machine at the actual altitude is predicted according to the original flight trajectory. The flight trajectory at the training airborne actual altitude is consistent with the originally predicted flight trajectory, except that the altitude is changed. And selecting all other training machines at the actual altitude of the training machine, and judging whether the predicted flight path of the training machine conflicts with the predicted flight paths of the other training machines at the actual altitude. If the flight path of the training machine conflicts with the predicted flight path of the other training machines in the actual altitude, the flight path of the training machine is reset according to the predicted flight paths of the other training machines in the actual altitude, and the set flight path does not conflict with the predicted flight paths of the other training machines in the actual altitude. The management platform 2 transmits the reset flight path and the specific positions of other training machines at the actual altitude to the training machines, so that a driver can conveniently observe whether other training machines exist on the reset flight path, and the collision between the training machines is reduced.
The actual flight trajectory of the training machine may have an error with the predicted flight trajectory, and when the actual flight trajectory of the training machine has an error with the predicted flight trajectory, the actual flight trajectory of the training machine may conflict with the predicted flight trajectories of other training machines in the same altitude.
In another embodiment, the flight trajectory of the training plane needs to be monitored in real time, and when the actual flight trajectory of the training plane deviates from the predicted flight trajectory, it is determined whether the actual flight trajectory of the training plane conflicts with the predicted flight trajectories of other training planes in the same altitude. If the training aircraft and the training aircraft are in conflict, the flight trajectory of the training aircraft is reset according to the predicted flight trajectories of other training aircraft in the same altitude, and the set flight trajectory and the predicted flight trajectories of other training aircraft in the same altitude are not in conflict with each other. The management platform 2 transmits the reset flight path and the specific positions of other training machines at the same altitude position to the training machines, so that a driver can conveniently observe whether other training machines exist on the reset flight path, the collision between the training machines is reduced, and the collision between the training machines is reduced.
Based on the same technical concept and the same inventive concept, the embodiment of the present application further discloses a computer-readable storage medium, which includes various steps that can be executed by a processor to implement the traffic service optimization method based on travel characteristics.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, only the division of the functional modules is illustrated, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions.
In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and the division into hard blocks or units is merely one logical functional division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. .
The units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, that is, may be located in one place, or may also be distributed on a plurality of network units, and some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, in this application, each functional unit in each embodiment may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. With this understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, ceramic disk or optical disk, etc. various media capable of storing program codes.
The foregoing embodiments are only used for describing the technical solutions of the present application in detail, but the above embodiments are only used for assisting understanding of the method and the core idea of the present application, and should not be construed as limiting the present application. Those skilled in the art should also appreciate that various modifications and substitutions can be made without departing from the scope of the present disclosure.
Claims (10)
1. A training machine intelligent position management method is characterized by comprising the following steps:
acquiring longitude and latitude information and altitude information of a training machine;
the longitude and latitude information of the training machine is embodied on the longitude and latitude plane of the display screen, the training machines with different altitudes are distinguished, the training machine with the same altitude is extracted from the display screen, and the flight track of the training machine is predicted;
predicting the flight path of the training plane at the same altitude;
judging whether the training machines have collision risks or not;
and if the collision risk exists, dynamically marking the two training machines with the collision risk on the display screen at the same time for warning.
2. The method as claimed in claim 1, wherein the method for intelligent position management of training machines comprises the steps of embodying longitude and latitude information of the training machines on longitude and latitude planes of a display screen, distinguishing the training machines with different altitudes through marks with different colors, extracting the training machines with the same altitude from the display screen, and predicting flight trajectories of the training machines, and further comprises:
when the altitude information of the selected training machine has two or more same values, the flight path of the training machine with the altitude is preferentially predicted.
3. The method as claimed in claim 2, wherein when the altitude information of the training machine is selected and the received altitude information has two or more same values, the method further comprises, after preferentially predicting the flight trajectory of the training machine at the altitude:
reading flight track information for predicting the training machine and judging whether the altitude of the training machine changes or not;
when the altitude of the training machine is changed, the flight tracks of all the training machines at the changed altitude of the training machine are predicted again.
4. The method as claimed in claim 1, wherein the method for intelligent position management of training machines comprises the steps of embodying longitude and latitude information of the training machines on longitude and latitude planes of a display screen, distinguishing the training machines with different altitudes through marks with different colors, extracting the training machines with the same altitude from the display screen, and predicting flight trajectories of the training machines, and further comprises:
the positions of all the training machines at different altitudes are read, and the positions of all the training machines at the same altitude are sent to all the training machines at the altitude.
5. The method as claimed in claim 4, wherein said reading the positions of all the trainers at different altitudes and sending the positions of all the trainers at the same altitude to all the trainers at the altitude comprises:
and the position information of all the training machines on the same altitude sent to the training machines is updated in real time according to the change of the altitude positions of the training machines.
6. The method as claimed in claim 1, wherein the step of embodying longitude and latitude information of the training machine on the longitude and latitude plane of the display screen and distinguishing the training machines with different altitudes through marks with different colors comprises the steps of extracting the training machine with the same altitude from the display screen and predicting the flight trajectory of the training machine:
receiving the flight track of the training machine in real time, and judging whether the actual flight track of the training machine is consistent with the predicted flight track;
when the actual flight track of the training machine is consistent with the predicted flight track, the prediction is determined to be correct, and the flight track of the training machine is continuously monitored;
and when the actual flight track of the training machine is inconsistent with the predicted flight track, determining that the prediction is wrong, receiving the actual flight track of the training machine, predicting the flight track of the training machine again according to the actual flight track of the training machine, and judging whether the training machines have collision risks.
7. The utility model provides a training machine intelligent position management platform which characterized in that includes:
the memory is used for storing longitude and latitude information and altitude information of the training machine and a predicted flight track of the training machine;
a processor for performing the steps of the method for intelligent position management of a training machine as claimed in any one of claims 1 to 6.
8. An intelligent position management system of a training machine, which is characterized by comprising an onboard terminal (1) arranged on the training machine, a management platform (2) as claimed in claim 7 and a communication base station (3), wherein the onboard terminal (1) is in communication connection with the management platform (2) through the communication base station (3), and the onboard terminal (1) comprises an RTK module (11), a communication module (12), a gyroscope (13) and an inertial element (14);
the RTK module (11) is used for acquiring the longitude, latitude and altitude of the airplane so as to realize the positioning of the airplane;
the communication module (12) is used for being matched with the communication base station (3) on the ground to realize the communication between the training machine and the ground;
the gyroscope (13) is used for acquiring the flight attitude of the training machine;
the inertial element (14) is used for acquiring the flight speed of the training plane.
9. The intelligent position management system for the training machine is characterized in that the airborne terminal (1) is fixedly arranged at the abdomen of the training machine, the airborne terminal (1) is connected with a router (4) of the training machine, and the router (4) is used for being connected with a mobile phone inside the training machine.
10. A computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by a processor to implement the method of trainer intelligent position management as claimed in any of claims 1 to 6.
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