CN110764529A - Flight direction correction platform, method and storage medium based on target positioning big data - Google Patents
Flight direction correction platform, method and storage medium based on target positioning big data Download PDFInfo
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Abstract
The invention relates to a flight direction correction platform, a flight direction correction method and a storage medium based on target positioning big data, wherein the flight direction correction platform comprises: the content detection device is used for outputting an image area as a tornado target area when the image area with the similarity exceeding the preset reference tornado shape in the pertinence processed image exists; a target locating device for identifying a position of a centroid of the tornado target region in the targetedly processed image; and the driving control equipment is used for correcting the current flying direction of the passenger plane to be far away from the tornado target corresponding to the tornado target area based on the position. The flight direction correction platform, the flight direction correction method and the storage medium based on the target positioning big data are stable in operation and have certain pertinence. Whether a tornado target exists in front of the passenger plane and the position of the tornado target can be monitored in real time, and corresponding risk avoidance measures can be taken, so that the emergency handling capacity of the passenger plane is improved.
Description
Technical Field
The invention relates to the field of civil aviation management, in particular to a flight direction correction platform, a flight direction correction method and a storage medium based on target positioning big data.
Background
Passenger aircraft are generally civil aircrafts. Civil aircraft refers to all non-military use aircraft. Civil aircraft are also known as civil aviation aircraft. Civil aircraft are further classified into two major categories, that is, airline aircraft for performing commercial flight and general aviation aircraft for general aviation, according to their respective uses. The civil aircraft with the largest passenger capacity is A380 produced by an airbus company, and the layout of a standard three-level passenger cabin is 555 seats.
The passenger plane is a collective flight transport means with larger size and more passenger capacity, and is used for commercial flights to and from China and abroad. Civil airliners are generally operated by airlines. Passenger aircraft that perform commercial flight operations are largely classified as trunk passenger aircraft and branch passenger aircraft. Passenger aircraft are divided into short-range, medium-range and long-range according to the flight path. Passenger aircraft are classified into small, medium and large sizes according to takeoff weight and passenger capacity. Passenger aircraft are classified into propeller type passenger aircraft and jet type passenger aircraft according to the driving mode.
Disclosure of Invention
In order to solve the technical problems related to the related field, the invention provides a flight direction correction platform based on target positioning big data, which can adjust the flight direction of a passenger plane in time based on the relative position of tornado from the passenger plane when detecting that the tornado target exists in front of the passenger plane, so as to effectively avoid the tornado target; and meanwhile, searching the areas in the image one by one based on the preset reference tornado shape so as to determine that a tornado target exists in the image when the area with the similarity exceeding the limit appears.
According to an aspect of the present invention, there is provided a flight direction modification platform based on target positioning big data, the platform comprising:
the information receiving equipment is arranged on the body of the passenger plane and used for receiving the weather information of the area where the passenger plane is located, which is wirelessly sent by the nearest weather forecast center through a wireless communication link;
the dot matrix camera shooting structure is used for setting the position of the nose of the passenger plane and executing camera shooting operation on the flying direction of the passenger plane so as to obtain an image of the flying direction;
the direction filtering equipment is connected with the dot matrix camera shooting structure and used for executing direction filtering processing on the flight direction image based on the maximum amplitude of the noise in the received flight direction image so as to obtain a corresponding direction filtering image, wherein the smaller the maximum amplitude of the noise is, the smaller the amplitude of the direction filtering processing on the flight direction image is;
the enhancement processing equipment is connected with the directional filtering equipment and is used for carrying out image enhancement processing based on singular value decomposition on the received directional filtering image so as to obtain an enhanced processing image;
an affine transformation device connected to the enhancement processing device for performing affine transformation on the received enhanced processed image to obtain an affine transformed image;
the content detection device is connected with the affine transformation device and used for receiving the affine transformation image, outputting the image area serving as a tornado target area and simultaneously sending a first detection signal when the affine transformation image has an image area with an overrun similarity to a preset reference tornado shape;
the content detection equipment is also used for sending a second detection signal when an image area with the similarity exceeding the preset reference tornado shape is absent in the affine transformation image;
the target positioning device is connected with the content detection device and used for identifying the position of the centroid of the tornado target area in the affine transformation image when the first detection signal is received;
the driving control device is connected with the target positioning device and used for correcting the current flight direction of the passenger plane to be far away from the tornado target corresponding to the tornado target area based on the position of the received centroid of the tornado target area in the affine transformation image;
wherein the target positioning device is further configured to enter a sleep mode upon receiving the second detection signal.
According to another aspect of the present invention, there is also provided a flight direction correction method based on large target location data, the method comprising using a flight direction correction platform based on large target location data as described above to adjust the flight direction of a passenger aircraft in time based on the relative position of the tornado from the passenger aircraft when the presence of a tornado target in front of the passenger aircraft is detected.
According to yet another aspect of the present invention, there is also provided a computer-readable storage medium, having stored thereon a computer program, which when executed, implements the steps of the method for flight direction correction based on object localization big data as described above.
The flight direction correction platform, the flight direction correction method and the storage medium based on the target positioning big data are stable in operation and have certain pertinence. Whether a tornado target exists in front of the passenger plane and the position of the tornado target can be monitored in real time, and corresponding risk avoidance measures can be taken, so that the emergency handling capacity of the passenger plane is improved.
Therefore, the invention needs to have the following two key points:
(1) when a tornado target is detected in front of the passenger plane, the flight direction of the passenger plane is timely adjusted based on the relative position of the tornado to the passenger plane, so that the tornado target is effectively avoided;
(2) and searching the areas in the image one by one based on the preset reference tornado shape so as to determine that a tornado target exists in the image when the area with the similarity exceeding the limit appears.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a block diagram illustrating a structure of a flight direction correction platform based on large target positioning data according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Embodiments of the flight direction correction platform, method, and storage medium based on the large target location data according to the present invention will be described in detail with reference to the accompanying drawings.
Aircraft (flight vehicle) is an apparatus that flies in the atmosphere or in an extra-atmospheric space (space). Aircraft fall into 3 categories: aircraft, spacecraft, rockets, and missiles. Flying in the atmosphere is referred to as an aircraft, such as a balloon, airship, airplane, etc. They fly by the static buoyancy of air or the aerodynamic force generated by the relative movement of air. Flying in space is called a spacecraft, such as an artificial earth satellite, a manned spacecraft, a space probe, a space shuttle and the like. They are propelled by a launch vehicle to obtain the necessary velocity to enter space and then rely on inertia to make orbital motion similar to celestial bodies.
Is an apparatus flying object which is manufactured by human beings, can fly off the ground, flies in space and is controlled by human beings to fly in the atmosphere or the space outside the atmosphere (space). Flying in the atmosphere is called aircraft and flying in space is called spacecraft.
Currently, the time interval between the arrival of a passenger aircraft at a high altitude at a predetermined flight altitude from the ground is one of the most dangerous time intervals of the passenger aircraft, on one hand, the complexity of the flight mode is high, and the requirements on the captain are high, and on the other hand, various obstacles are easily brought to the flight of the passenger aircraft due to the instability of the ground environment and the meteorological environment. How to adapt to overcome the various obstacles is one of the problems that passenger aircraft designers and manufacturers have not yet completely solved and hoped to solve.
In order to overcome the defects, the invention builds a flight direction correction platform, a flight direction correction method and a storage medium based on target positioning big data, and can effectively solve the corresponding technical problems.
Fig. 1 is a block diagram illustrating a structure of a flight direction modification platform based on big data of target positioning according to an embodiment of the present invention, the platform comprising:
the information receiving equipment is arranged on the body of the passenger plane and used for receiving the weather information of the area where the passenger plane is located, which is wirelessly sent by the nearest weather forecast center through a wireless communication link;
the dot matrix camera shooting structure is used for setting the position of the nose of the passenger plane and executing camera shooting operation on the flying direction of the passenger plane so as to obtain an image of the flying direction;
the direction filtering equipment is connected with the dot matrix camera shooting structure and used for executing direction filtering processing on the flight direction image based on the maximum amplitude of the noise in the received flight direction image so as to obtain a corresponding direction filtering image, wherein the smaller the maximum amplitude of the noise is, the smaller the amplitude of the direction filtering processing on the flight direction image is;
the enhancement processing equipment is connected with the directional filtering equipment and is used for carrying out image enhancement processing based on singular value decomposition on the received directional filtering image so as to obtain an enhanced processing image;
an affine transformation device connected to the enhancement processing device for performing affine transformation on the received enhanced processed image to obtain an affine transformed image;
the content detection device is connected with the affine transformation device and used for receiving the affine transformation image, outputting the image area serving as a tornado target area and simultaneously sending a first detection signal when the affine transformation image has an image area with an overrun similarity to a preset reference tornado shape;
the content detection equipment is also used for sending a second detection signal when an image area with the similarity exceeding the preset reference tornado shape is absent in the affine transformation image;
the target positioning device is connected with the content detection device and used for identifying the position of the centroid of the tornado target area in the affine transformation image when the first detection signal is received;
the driving control device is connected with the target positioning device and used for correcting the current flight direction of the passenger plane to be far away from the tornado target corresponding to the tornado target area based on the position of the received centroid of the tornado target area in the affine transformation image;
wherein the target positioning device is further configured to enter a sleep mode upon receiving the second detection signal.
Next, the detailed structure of the flight direction correction platform based on the large target positioning data according to the present invention will be further described.
In the flight direction correction platform based on the target positioning big data:
the dot matrix camera shooting structure comprises a gun-shaped camera shooting mechanism, a preview analysis device, a mode selection device, a filtering execution device and an instant interpolation device.
In the flight direction correction platform based on the target positioning big data:
the gun-shaped shooting mechanism is used for shooting the flying direction of the passenger plane so as to obtain and output a corresponding current shooting image.
In the flight direction correction platform based on the target positioning big data:
the preview analysis device is connected with the gun-shaped shooting mechanism and used for obtaining a preview image shot by the gun-shaped shooting mechanism at low resolution before the gun-shaped shooting mechanism carries out shooting operation, and carrying out noise type detection on the preview image to obtain the main noise type in the preview image.
In the flight direction correction platform based on the target positioning big data:
the mode selection device is connected with the preview analysis device and is used for selecting a filtering mode corresponding to the main noise type from a plurality of filtering modes based on the main noise type.
In the flight direction correction platform based on the target positioning big data:
the filtering execution device is respectively connected with the gun-shaped shooting mechanism and the mode selection device and is used for executing corresponding filtering processing on the current shot image based on the selected filtering mode corresponding to the main noise type so as to obtain a corresponding dynamic filtering image.
In the flight direction correction platform based on the target positioning big data:
the instant interpolation equipment is connected with the filtering execution equipment and is used for executing cubic polynomial interpolation processing on the received dynamic filtering image so as to obtain a corresponding flight direction image;
wherein, in the preview analysis device, performing noise type detection on the preview image to obtain a dominant noise type therein comprises: and taking the noise type with the largest amplitude in the detected noise types as a main noise type.
In the flight direction correction platform based on the target positioning big data:
a DRAM memory chip is arranged in the mode selection equipment and is used for pre-storing a plurality of filtering algorithm libraries corresponding to a plurality of filtering modes;
wherein, in the mode selection device, the number of dominant noise types is one or more, the number of corresponding filtering modes is one or more, and the number of dominant noise types is equal to the number of corresponding filtering modes.
Meanwhile, in order to overcome the defects, the invention also builds a flight direction correction method based on the target positioning big data, and the method comprises the step of using the flight direction correction platform based on the target positioning big data to adjust the flight direction of the passenger plane in time based on the relative position of the tornado from the passenger plane when the tornado target in front of the passenger plane is detected.
And, in order to overcome the above disadvantages, the present invention also builds a computer readable storage medium, which stores thereon a computer program, which when executed, implements the steps of the flight direction correction method based on the target positioning big data as described above.
Fig. 2 is a schematic diagram illustrating a computer-readable storage medium according to an embodiment of the present invention. As shown in fig. 2, a computer-readable storage medium 20, having non-transitory computer-readable instructions 21 stored thereon, according to an embodiment of the present invention. When executed by the processor, the non-transitory computer readable instructions 21 perform all or part of the steps of the flight direction correction method based on the target location big data of the embodiment of the invention.
In addition, dram (dynamic Random Access memory), which is a dynamic Random Access memory, is the most common system memory. DRAM can hold data only for a short time. To retain data, DRAM uses capacitive storage, so must be refreshed (refresh) once at intervals, and if the memory cells are not refreshed, the stored information is lost. (shutdown will lose data). Dynamic RAM is also comprised of a number of basic memory cells multiplexed by row and column address pins.
The structure of the DRAM is simple and efficient, and each bit only needs one transistor and one capacitor. However, the capacitance inevitably has leakage phenomenon, which causes data error if the charge is insufficient, and therefore, the capacitance must be periodically refreshed (precharged), which is also a big feature of the DRAM. Moreover, the charging and discharging of the capacitor requires a process, and the refresh frequency cannot be raised infinitely (frequency barrier), which results in that the frequency of the DRAM can easily reach the upper limit, and even if the advanced process is supported, the effect is very small. With the advancement of technology and the desire of people to overclock, these frequency barriers are being solved slowly.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A direction of flight modification platform based on target location big data, the platform comprising:
the information receiving equipment is arranged on the body of the passenger plane and used for receiving the weather information of the area where the passenger plane is located, which is wirelessly sent by the nearest weather forecast center through a wireless communication link;
the dot matrix camera shooting structure is used for setting the position of the nose of the passenger plane and executing camera shooting operation on the flying direction of the passenger plane so as to obtain an image of the flying direction;
the direction filtering equipment is connected with the dot matrix camera shooting structure and used for executing direction filtering processing on the flight direction image based on the maximum amplitude of the noise in the received flight direction image so as to obtain a corresponding direction filtering image, wherein the smaller the maximum amplitude of the noise is, the smaller the amplitude of the direction filtering processing on the flight direction image is;
the enhancement processing equipment is connected with the directional filtering equipment and is used for carrying out image enhancement processing based on singular value decomposition on the received directional filtering image so as to obtain an enhanced processing image;
an affine transformation device connected to the enhancement processing device for performing affine transformation on the received enhanced processed image to obtain an affine transformed image;
the content detection device is connected with the affine transformation device and used for receiving the affine transformation image, outputting the image area serving as a tornado target area and simultaneously sending a first detection signal when the affine transformation image has an image area with an overrun similarity to a preset reference tornado shape;
the content detection equipment is also used for sending a second detection signal when an image area with the similarity exceeding the preset reference tornado shape is absent in the affine transformation image;
the target positioning device is connected with the content detection device and used for identifying the position of the centroid of the tornado target area in the affine transformation image when the first detection signal is received;
the driving control device is connected with the target positioning device and used for correcting the current flight direction of the passenger plane to be far away from the tornado target corresponding to the tornado target area based on the position of the received centroid of the tornado target area in the affine transformation image;
wherein the target positioning device is further configured to enter a sleep mode upon receiving the second detection signal.
2. The flight direction correction platform based on the target positioning big data as claimed in claim 1, wherein:
the dot matrix camera shooting structure comprises a gun-shaped camera shooting mechanism, a preview analysis device, a mode selection device, a filtering execution device and an instant interpolation device.
3. The flight direction correction platform based on the target positioning big data as claimed in claim 2, characterized in that:
the gun-shaped shooting mechanism is used for shooting the flying direction of the passenger plane so as to obtain and output a corresponding current shooting image.
4. The flight direction correction platform based on the target positioning big data as claimed in claim 3, characterized in that:
the preview analysis device is connected with the gun-shaped shooting mechanism and used for obtaining a preview image shot by the gun-shaped shooting mechanism at low resolution before the gun-shaped shooting mechanism carries out shooting operation, and carrying out noise type detection on the preview image to obtain the main noise type in the preview image.
5. The target positioning big data-based flight direction modification platform of claim 4, wherein:
the mode selection device is connected with the preview analysis device and is used for selecting a filtering mode corresponding to the main noise type from a plurality of filtering modes based on the main noise type.
6. The target positioning big data-based flight direction modification platform of claim 5, wherein:
the filtering execution device is respectively connected with the gun-shaped shooting mechanism and the mode selection device and is used for executing corresponding filtering processing on the current shot image based on the selected filtering mode corresponding to the main noise type so as to obtain a corresponding dynamic filtering image.
7. The target positioning big data-based flight direction modification platform of claim 6, wherein:
the instant interpolation equipment is connected with the filtering execution equipment and is used for executing cubic polynomial interpolation processing on the received dynamic filtering image so as to obtain a corresponding flight direction image;
wherein, in the preview analysis device, performing noise type detection on the preview image to obtain a dominant noise type therein comprises: and taking the noise type with the largest amplitude in the detected noise types as a main noise type.
8. The target positioning big data-based flight direction modification platform of claim 7, wherein:
a DRAM memory chip is arranged in the mode selection equipment and is used for pre-storing a plurality of filtering algorithm libraries corresponding to a plurality of filtering modes;
wherein, in the mode selection device, the number of dominant noise types is one or more, the number of corresponding filtering modes is one or more, and the number of dominant noise types is equal to the number of corresponding filtering modes.
9. A method of flight direction modification based on big data for target location, the method comprising using a big data for target location based flight direction modification platform according to any of claims 1-8 to adjust the flight direction of a passenger aircraft in time based on the relative position of the tornado from the passenger aircraft when the presence of a tornado target in front of the passenger aircraft is detected.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed, performs the steps of the method of claim 9.
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