CN212675602U - Airborne flight safety real-time monitoring and intelligent early warning device - Google Patents
Airborne flight safety real-time monitoring and intelligent early warning device Download PDFInfo
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- CN212675602U CN212675602U CN202021835590.7U CN202021835590U CN212675602U CN 212675602 U CN212675602 U CN 212675602U CN 202021835590 U CN202021835590 U CN 202021835590U CN 212675602 U CN212675602 U CN 212675602U
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Abstract
The utility model discloses an airborne flight safety real-time supervision and intelligent early warning device, the device includes: an early warning model updating interface (2); a flight parameter data input interface (3); an alarm module (4); a processor peripheral circuit (5); a ground communication interface (6); and the artificial intelligence processor (1) is connected with the early warning model updating interface (2), the flight parameter data input interface (3), the warning module (4), the processor peripheral circuit (5) and the ground communication interface (6). The airborne flight safety real-time monitoring and intelligent early warning device is designed based on an artificial intelligent processor, adopts the technologies of artificial intelligence, big data simulation, deep learning and the like, and has the functions of typical accident sign warning, special condition early warning, check correctness identification before flight, giving a flight parameter processing report after flight is finished and the like.
Description
Technical Field
The utility model relates to a flight safety real-time supervision technical field, concretely relates to airborne flight safety real-time supervision and intelligent early warning device.
Background
The flight parameter system of the domestic airplane passes through the development history of decades from the past, and the flight parameter data is increasingly used for flight training quality monitoring, airplane fault prevention and failure analysis to become an important replaceable means.
However, all current applications based on flight parameter data, such as flight training quality evaluation, aircraft fault diagnosis and performance change trend analysis and research, are processing and utilizing of post-incident data. In recent years, a flight real-time monitoring system based on a wireless data link has been researched, but the flight real-time monitoring system is limited by factors such as ultra-short wave communication transmission distance limitation, data transmission error codes, communication safety, complex modification, high cost and the like, and the problem of real-time processing of flight parameter data cannot be effectively solved.
Statistical data shows that since the flying parameter system is popularized and used in an airplane, the flying parameter data is used for successfully analyzing a plurality of flight accidents, wherein the occupation ratio of obvious abnormity, such as overrun, uncoordinated manipulation and execution, equipment failure of an airborne system and the like, of the flying parameter data is always high.
Therefore, the airborne flight safety real-time monitoring and intelligent early warning technology is provided, and the flight parameter data is analyzed and processed in real time, the early warning is carried out in real time, so that a pilot or a commander is reminded of timely and correctly handling, the occurrence probability of flight accidents can be effectively reduced, the safety of the pilot is protected, and the national property loss is avoided.
To the above problem, the utility model provides an airborne flight safety real-time supervision and intelligent warning device for fly to join in marriage parameter data real-time analysis and processing, realize airborne flight safety real-time supervision and intelligent early warning.
SUMMERY OF THE UTILITY MODEL
The utility model discloses aim at solving one of the technical problem that exists among the prior art at least. Therefore, the utility model provides an airborne flight safety real-time supervision and intelligent alarm device, airborne flight safety real-time supervision designs based on artificial intelligence treater with intelligent early warning device, adopts techniques such as artificial intelligence, big data simulation, degree of depth study, has that typical accident symptom reports an emergency and asks for help or increased vigilance, special situation early warning, check accuracy discernment before the flight, flight end and give functions such as flight parameter processing report. .
According to the utility model discloses an airborne flight safety real-time supervision and intelligent alarm device, include: an early warning model updating interface (2); a flight parameter data input interface (3); an alarm module (4); a processor peripheral circuit (5); a ground communication interface (6); and the artificial intelligence processor (1) is connected with the early warning model updating interface (2), the flight parameter data input interface (3), the warning module (4), the processor peripheral circuit (5) and the ground communication interface (6).
According to the utility model discloses airborne flight safety real-time supervision and intelligent alarm device have following beneficial effect at least:
the embodiment of the utility model provides a parameter data real-time analysis handles, realizes airborne flight safety real-time supervision and intelligent early warning can fly.
According to some embodiments of the utility model, early warning model update interface (2) include first gigabit ethernet isolation transformer + RJ45(201) and USB interface protection circuit + a type USB socket (202), first gigabit ethernet isolation transformer + RJ45(201) comprises gigabit ethernet isolation transformer and RJ45 interface, USB interface protection circuit + a type USB socket (202) comprises USB interface protection circuit and a type USB socket. In the embodiment, the early warning model updating interface (2) is used for updating the flight parameter early warning model on line, and comprises early warning parameters, a parameter calculation method, warning criteria of the early warning parameters in each flight stage and the like.
According to some embodiments of the present invention, flying parameter data input interface (3) includes RS422 drive circuit + DB9(301) and second gigabit ethernet isolation transformer + RJ45(302), RS422 drive circuit + DB9(301) comprises RS422 drive circuit and DB9 interface, second gigabit ethernet isolation transformer + RJ45(302) comprises gigabit ethernet isolation transformer and RJ45 interface. In the embodiment, the flight parameter data input interface (3) is used for being connected with an airborne flight parameter collector, reading original flight parameter data from the flight parameter collector in real time, and serving as an aircraft flight parameter input interface, adopts a gigabit Ethernet interface and an RS422 interface, is adapted to flight parameter data output interfaces of various airborne flight parameter collectors, facilitates operations such as on-board installation and connection, and is simple in installation and integration complexity.
According to the utility model discloses a some embodiments, it reports to the police module (4) including light warning module (401), light warning module (401) includes the three-colour warning light, connects the GPIO interface of artificial intelligence treater (1). The three-color warning lamp of the light warning (401) is controlled by a GPIO interface of an artificial intelligent processor 1(Yulong410Pro chip), and can be subjected to warning display such as flashing, long-time lighting, closing and the like according to the warning level.
According to some embodiments of the present invention, the alarm module (4) comprises a sound alarm module (402), the sound alarm module (402) comprising an audio output driver circuit (4021) and a speaker (4022) connected to the audio output driver circuit (4021). In this embodiment, the artificial intelligence processor 1(Yulong410Pro chip) integrates an audio controller, controls a speaker to perform sound alarm by externally connecting the audio output driving circuit, and the sound alarm content is edited by the artificial intelligence processor Yulong410Pro according to the alarm level and is output through the speaker.
According to some embodiments of the invention, the processor peripheral circuit (5) comprises a clock input circuit, a reset input circuit with a watchdog and a local mass storage. The processor peripheral circuit (5) provides necessary peripheral circuits for the artificial intelligence processor (1) and ensures that the artificial intelligence processor (1) can work normally.
According to some embodiments of the utility model, with ground communication interface (6) including serial ports change big dipper short message module (601) and with big dipper antenna (602) that serial ports change big dipper short message module (601) and connect. Carry out the interface of communication with ground communication interface (6) for airborne flight safety real-time supervision and intelligent early warning device (100) and ground commander, serial ports change big dipper short message module (601) and pass through serial ports connection to artificial intelligence treater (1), by artificial intelligence treater (1) will report an emergency and ask for help or increased vigilance information and pass through serial ports control big dipper short message upload and send, big dipper antenna (602) are responsible for converting big dipper short message information into radio frequency signal, through the transfer of big dipper satellite, send the data receiving station on ground.
According to some embodiments of the present invention, the artificial intelligence processor (1) comprises a Yulong410Pro chip, the Yulong410Pro chip being an artificial intelligence chip based on heterogeneous modes of CPU and AI accelerator. The Yulong410Pro chip adopts a heterogeneous mode of a CPU + AI accelerator, focuses on front-end image processing, signal processing and intelligent control, and has platform acceleration capabilities of deep learning and neural network algorithms.
According to some embodiments of the utility model, airborne flight safety real-time supervision and intelligent early warning device still include device internal power source (7), device internal power source (7) change 3.3V power supply circuit (701), 5V including 5V, change 1.8V power supply circuit (702), 5V change 1.5V power supply circuit (703), 5V change 1.0V power supply circuit (704) and 5V change 0.9V power supply circuit (705). The internal power supply (7) of the device realizes the power supply of each functional module of the airborne flight safety real-time monitoring and intelligent early warning device (100), and converts a +5V input power supply into a +3.3V, +1.8V, +1.5V, +1.0V, +0.9V direct-current power supply required by the functional modules in the device.
The early warning model updating interface (2) is used for updating a flight parameter early warning model on line, and the flight parameter early warning model comprises early warning parameters, a parameter resolving method and warning criteria of the early warning parameters in each flight stage.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is the utility model discloses airborne flight safety real-time supervision and intelligent early warning device's system block diagram.
Fig. 2 is a system block diagram of an update interface of an early warning model according to an embodiment of the present invention.
Fig. 3 is a system block diagram of a flight parameter data input interface according to an embodiment of the present invention.
Fig. 4 is a system block diagram of the alarm module according to the embodiment of the present invention.
Fig. 5 is a system block diagram of the sound alarm module according to the embodiment of the present invention.
Fig. 6 is a system block diagram of the ground communication interface according to the embodiment of the present invention.
Fig. 7 is a system block diagram of an internal power supply of the apparatus according to the embodiment of the present invention.
Detailed Description
The conception, specific structure and technical effects of the present invention will be described clearly and completely with reference to the accompanying drawings and embodiments, so as to fully understand the objects, aspects and effects of the present invention.
It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any combination of one or more of the associated listed items.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as, "etc.), provided herein is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.
The embodiment of the utility model provides a realize a flight safety real-time supervision and intelligent early warning device that has artificial intelligence algorithm ability, big data simulation function, degree of depth learning ability.
Referring to fig. 1, fig. 1 is the utility model discloses airborne flight safety real-time supervision and intelligent early warning device. The airborne flight safety real-time monitoring and intelligent early warning device 100 comprises an artificial intelligence processor 1. In some embodiments, the artificial intelligence processor 1 employs a Yulon410Pro chip. The device 100 further comprises an early warning model updating interface 2, a flight parameter data input interface 3, an alarm module 4, a processor peripheral circuit 5 and a ground communication interface 6. The early warning model updating interface 2, the flight parameter data input interface 3, the warning module 4, the processor peripheral circuit 5 and the ground communication interface 6 are all connected with the artificial intelligence processor 1.
In some embodiments, the Yulon410Pro chip used by the artificial intelligence processor 1 adopts a heterogeneous mode of CPU + AI accelerator, focuses on image processing, signal processing and intelligent control, and has platform acceleration capabilities of deep learning and neural network algorithms.
Referring to fig. 2, fig. 2 is a system block diagram of an early warning model update interface according to an embodiment of the present invention. As shown in fig. 2, the pre-alarm model update interface 2 includes a first gigabit ethernet isolation transformer and an RJ45 interface 201, as well as a USB interface protection circuit and a type a USB socket 202. In this embodiment, the early warning model update interface 2 is used for updating the flight parameter early warning model on line, and includes early warning parameters, a parameter calculation method, warning criteria of the early warning parameters in each flight phase, and the like.
Referring to fig. 3, fig. 3 is a system block diagram of a flight parameter data input interface according to an embodiment of the present invention. As shown in fig. 3, the flight parameters data input interface 3 includes an RS422 driver circuit and DB9 interface 301, and a second gigabit ethernet isolation transformer and RJ45 interface 302. In this embodiment, the flight parameter data input interface 3 is used for being connected with an airborne flight parameter collector, reading original flight parameter data from the flight parameter collector in real time, and serving as an aircraft flight parameter input interface, adopts a gigabit ethernet interface and an RS422 interface, and is adapted to flight parameter data output interfaces of various airborne flight parameter collectors, so that operations such as on-board installation and connection are facilitated, and the complexity of integration is simple to install.
Referring to fig. 4, fig. 4 is a system block diagram of an alarm module according to an embodiment of the present invention. As shown in fig. 4, the alarm module includes a light alarm 401 and a sound alarm 402. With further reference to fig. 5, as shown in fig. 5, the acoustic alarm 402 includes an audio output driver circuit 4021 and a speaker 4022 connected to the audio output driver circuit 4021. In this embodiment, the artificial intelligence processor 1(Yulong410Pro chip) integrates an audio controller, controls a speaker to perform sound alarm by externally connecting the audio output driving circuit, and the sound alarm content is edited by the artificial intelligence processor Yulong410Pro according to the alarm level and is output through the speaker.
In some embodiments, the light alarm 401 mainly uses a three-color alarm lamp, and the three-color alarm lamp is controlled by a GPIO interface of the artificial intelligence processor 1(Yulong410Pro chip), and can perform alarm display such as flashing, long-time lighting, and turning off according to the alarm level.
In some embodiments, processor peripheral circuitry 5, which is primarily necessary to provide the artificial intelligence processor 1 with the necessary peripheral circuitry, provides a clock input, a reset input with a watchdog, and a local mass storage for real-time storage of exception data, etc., to ensure that the artificial intelligence processor 1 is functioning properly.
Referring to fig. 6, fig. 6 is a system block diagram of the interface with the ground communication according to the embodiment of the present invention. As shown in fig. 6, the ground communication interface 6 includes a serial-to-beidou short message module 601 and a beidou antenna 602 connected to the serial-to-beidou short message module 601. In this embodiment, carry out the interface of communication with ground communication interface 6 for airborne flight safety real-time supervision and intelligent early warning device 100 and ground commander, by serial ports commentaries on classics big dipper short message module 601 and big dipper antenna 602 two parts, serial ports commentaries on classics big dipper short message module 601 passes through serial ports connection to artificial intelligence processor 1, by artificial intelligence processor 1 will report an emergency and ask for help or increased vigilance information and pass through serial ports control big dipper short message upload and send, and big dipper antenna 602 is responsible for converting big dipper short message information into radio frequency signal, through big dipper satellite transfer, sends the data receiving station on ground.
Referring to fig. 7, fig. 7 is a system block diagram of an internal power supply of the device according to the embodiment of the present invention. As shown in fig. 7, the internal power supply 7 includes a 5V to 3.3V power supply circuit 701, a 5V to 1.8V power supply circuit 702, a 5V to 1.5V power supply circuit 703, a 5V to 1.0V power supply circuit 704, and a 5V to 0.9V power supply circuit 705. In this embodiment, the internal power supply 7 of the device realizes the power supply of each functional module of the airborne flight safety real-time monitoring and intelligent early warning device 100, and converts the +5V input power supply into the +3.3V, +1.8V, +1.5V, +1.0V, +0.9V dc power supply required by the functional module in the device.
In some embodiments, the onboard flight safety real-time monitoring and intelligent early warning device 100 is transplanted with a Linux operating system, an artificial intelligent algorithm intelligent early warning database and the like, during the flight process of an airplane, flight data are received and stored in real time, the flight stage is intelligently identified and processed, the decoding of flight parameter data, the conversion of data formats and the parameters of computer materials are completed, the overrun event and the airplane abnormity are analyzed and discriminated according to the criterion and the artificial intelligent algorithm, the warning event is triggered, if the danger parameters occur, an acousto-optic warning is sent to a pilot in real time according to a preset early warning mode and a danger level, the pilot is warned to deal with the overrun event and the airplane by early warning in a Beidou short message mode or directly adding an airplane communication voice prompt, and the onboard flight safety real-time monitoring and intelligent.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, as long as it achieves the technical effects of the present invention by the same means, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included within the scope of the present invention. The technical solution and/or the embodiments of the invention may be subject to various modifications and variations within the scope of the invention.
Claims (10)
1. The utility model provides an airborne flight safety real-time supervision and intelligent early warning device which characterized in that includes:
an early warning model updating interface (2);
a flight parameter data input interface (3);
an alarm module (4);
a processor peripheral circuit (5);
a ground communication interface (6); and
the early warning system comprises an early warning model updating interface (2), a flight parameter data input interface (3), an alarm module (4), a processor peripheral circuit (5) and an artificial intelligence processor (1) connected with a ground communication interface (6).
2. The airborne real-time flight safety monitoring and intelligent early warning device according to claim 1, wherein the early warning model updating interface (2) comprises a first gigabit ethernet isolation transformer + RJ45(201) and a USB interface protection circuit + type a USB socket (202), the first gigabit ethernet isolation transformer + RJ45(201) is composed of a gigabit ethernet isolation transformer and an RJ45 interface, and the USB interface protection circuit + type a USB socket (202) is composed of a USB interface protection circuit and a type a USB socket.
3. The airborne real-time flight safety monitoring and intelligent early warning device according to claim 1, wherein the flight parameter data input interface (3) comprises an RS422 driving circuit + DB9(301) and a second gigabit ethernet isolation transformer + RJ45(302), the RS422 driving circuit + DB9(301) is composed of an RS422 driving circuit and a DB9 interface, and the second gigabit ethernet isolation transformer + RJ45(302) is composed of a gigabit ethernet isolation transformer and an RJ45 interface.
4. The airborne real-time flight safety monitoring and intelligent early warning device according to claim 1, characterized in that the warning module (4) comprises a light warning module (401), and the light warning module (401) comprises a three-color warning light connected to the GPIO interface of the artificial intelligence processor (1).
5. The airborne flight safety real-time monitoring and intelligent early warning device according to claim 1, characterized in that the warning module (4) comprises a sound warning module (402), and the sound warning module (402) comprises an audio output driving circuit (4021) and a loudspeaker (4022) connected with the audio output driving circuit (4021).
6. The airborne real-time flight safety monitoring and intelligent early warning device according to claim 1, characterized in that the processor peripheral circuit (5) comprises a clock input circuit, a reset input circuit with a watchdog and a local mass memory.
7. The airborne flight safety real-time monitoring and intelligent early warning device according to claim 1, wherein the ground communication interface (6) comprises a serial-to-beidou short message module (601) and a beidou antenna (602) connected with the serial-to-beidou short message module (601).
8. The airborne real-time flight safety monitoring and intelligent early warning device according to claim 1, characterized in that the artificial intelligence processor (1) comprises a yurong 410Pro chip, and the yurong 410Pro chip is an artificial intelligence chip based on heterogeneous modes of a CPU and an AI accelerator.
9. The airborne flight safety real-time monitoring and intelligent early warning device according to claim 1, further comprising a device internal power supply (7), wherein the device internal power supply (7) comprises a 5V to 3.3V power supply circuit (701), a 5V to 1.8V power supply circuit (702), a 5V to 1.5V power supply circuit (703), a 5V to 1.0V power supply circuit (704) and a 5V to 0.9V power supply circuit (705).
10. The airborne flight safety real-time monitoring and intelligent early warning device according to claim 1, characterized in that the early warning model updating interface (2) is used for updating a flight parameter early warning model on line, and the flight parameter early warning model comprises early warning parameters, a parameter calculation method and warning criteria of the early warning parameters in each flight phase.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113382374A (en) * | 2021-06-11 | 2021-09-10 | 中国商用飞机有限责任公司 | Unit alarm information full-transmission coding method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113382374A (en) * | 2021-06-11 | 2021-09-10 | 中国商用飞机有限责任公司 | Unit alarm information full-transmission coding method and device |
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