CN114973776A - Civil aviation aircraft scheduling optimization method and device based on edge calculation - Google Patents
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Abstract
The application provides a civil aviation aircraft scheduling optimization method and device based on edge calculation, and relates to the technical field of aviation. The method comprises the steps of obtaining current flight information and airplane information from a civil aviation airport system; obtaining an original flight plan through edge calculation, and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information; determining one or more user terminals to be used for acquiring the current flight scheduling plan according to the current flight scheduling plan; and transmitting the current flight scheduling plan to the determined one or more user terminals. The method and the device for controlling the airport flight delay solve the problems of flight delay or overhaul and the like caused by untimely feedback of scheduling problems or equipment problems in the airport system, improve the operation efficiency of the airport, and reduce the probability of possible accidents.
Description
Technical Field
The application relates to the technical field of aviation, in particular to a civil aviation aircraft scheduling optimization method and device based on edge calculation.
Background
At present, with the rapid development of civil aviation business, flight delay and cancellation caused by severe weather, flow control and the like are increasing. The civil airport realizes the scheduling of flights and passengers through an integral control system, and displays the flight information according to the actual airplane condition. However, in practical application, the efficiency is low, the system cannot be guaranteed to be continuously stable, and problems of flight delay, scheduling errors and the like caused by system scheduling problems can occur. Therefore, there is a need to solve this technical problem.
Disclosure of Invention
In view of the above problems, the present application is proposed to provide a civil aviation aircraft scheduling optimization method and apparatus based on edge computing, which overcomes or at least partially solves the above problems, solves the problems of flight delay or maintenance caused by the delayed feedback of scheduling problems or equipment problems in an airport system, improves the efficiency of airport operation, and reduces the probability of possible accidents. The technical scheme is as follows:
in a first aspect, a civil aviation aircraft scheduling optimization method based on edge calculation is provided, and includes:
acquiring current flight information and airplane information from a civil aviation airport system;
obtaining an original flight plan through edge calculation, and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information;
determining one or more user terminals to be used for acquiring the current flight scheduling plan according to the current flight scheduling plan;
and sending the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals carry out scheduling according to the current flight scheduling plan.
In one possible implementation, obtaining the current flight scheduling plan based on the predetermined flight plan, the current flight information, and the airplane information by edge calculation includes:
calculating the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain a cost parameter;
and optimizing and adjusting the aircraft path based on the calculated cost parameter, further calculating and assigning the aircraft to the flight needing to be executed, and generating the current flight scheduling plan.
In one possible implementation, the method further includes:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes with an acquisition unit for acquiring current flight information and airplane information from a civil aviation airport system in a communication way;
determining an edge computing node in a working state in the one or more edge computing nodes;
and sending the current flight information and the airplane information to the edge computing node in the working state in real time.
In one possible implementation, the method further includes:
acquiring monitoring video data of an airplane from a civil aviation airport system;
identifying the obtained monitoring video data through edge calculation, and determining a faulty airplane with problems;
generating alarm information representing a faulty aircraft with a problem;
and sending the alarm information to a preset terminal device, so as to inform the preset terminal device of the alarm information.
In one possible implementation, identifying the acquired surveillance video data through edge calculation to determine a faulty aircraft with a problem includes:
converting each frame in the acquired monitoring video data into a corresponding frame image;
for each frame image, intercepting n rectangular images in each frame image according to the predetermined rectangular area coordinates of n selected areas, wherein n is a positive integer greater than 1;
processing the n rectangular images, converting the n rectangular images into n square images with specified side length, and combining the n square images into an integral square image according to a preset arrangement sequence;
inputting the whole square image into a pre-trained fault recognition model, and predicting the fault corresponding to the whole square image by using the trained fault recognition model to obtain a prediction result;
and determining the faulted airplane with the problem according to the prediction result.
In a possible implementation manner, before, for each frame image, truncating n rectangular images in each frame image according to predetermined rectangular region coordinates of n selected regions, the method further includes:
judging whether the position changes or not when the monitoring camera collects monitoring video data currently and samples videos are collected when the coordinates of the rectangular areas of the n selected areas are determined;
if the position changes, determining an affine transformation matrix of the position changes;
and converting the determined rectangular area coordinates of the n selected areas by using an affine transformation matrix to obtain the converted rectangular area coordinates of the n selected areas, and accordingly, for each frame image, intercepting the n rectangular images in each frame image according to the converted rectangular area coordinates of the n selected areas.
In a possible implementation manner, sending the alarm information to a preset terminal device, so as to notify the alarm information to a worker of the preset terminal device, including:
and arranging a wireless gateway, sending the alarm information to the arranged wireless gateway, and sending the alarm information to a preset terminal device through the wireless gateway, so that a worker of the preset terminal device is informed of the alarm information.
In a second aspect, an edge-computing-based civil aviation aircraft scheduling optimization device is provided, including:
the acquisition unit is used for acquiring current flight information and airplane information from a civil aviation airport system;
the generating unit is used for acquiring an original flight plan through edge calculation and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information;
a determining unit, configured to determine, according to the current flight scheduling plan, one or more user terminals that are to acquire the current flight scheduling plan;
and a sending unit, configured to send the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals perform scheduling according to the current flight scheduling plan.
In a possible implementation manner, the generating unit is further configured to:
calculating the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain a cost parameter;
and optimizing and adjusting the aircraft path based on the calculated cost parameter, further calculating and assigning the aircraft to the flight needing to be executed, and generating the current flight scheduling plan.
In a possible implementation manner, the generating unit is further configured to:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes with an acquisition unit for acquiring current flight information and airplane information from a civil aviation airport system in a communication way;
determining an edge computing node in a working state from the one or more edge computing nodes;
and sending the current flight information and the airplane information to the edge computing node in the working state in real time.
By means of the technical scheme, the civil aviation aircraft scheduling optimization method and device based on edge calculation can obtain current flight information and aircraft information from a civil aviation airport system; obtaining an original flight plan through edge calculation, and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information; determining one or more user terminals to be used for acquiring the current flight scheduling plan according to the current flight scheduling plan; and sending the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals schedule according to the current flight scheduling plan. It can be seen that, in the embodiments of the present application, edge calculation may be added to solve a problem that may occur in scheduling, and after the current situation of a flight or an airplane is identified, an optimal flight scheduling plan may be processed and obtained, and a response is immediately made, so that problems of flight delay or maintenance and the like caused by an untimely feedback of scheduling problems or equipment problems in an airport system are solved, the efficiency of airport operation is improved, and the probability of an accident may be reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 shows a flow chart of a civil aviation aircraft scheduling optimization method based on edge calculation according to an embodiment of the application;
FIG. 2 shows a flow diagram of a civil aviation aircraft dispatch optimization method based on edge calculation according to another embodiment of the present application;
fig. 3 is a block diagram illustrating a civil aviation aircraft scheduling optimization device based on edge calculation according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that such uses are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than those illustrated or described herein. Furthermore, the term "include" and its variants are to be read as open-ended terms meaning "including, but not limited to".
The embodiment of the application provides a civil aviation aircraft scheduling optimization method based on edge calculation. As shown in fig. 1, the civil aviation aircraft scheduling optimization method based on edge calculation may include the following steps S101 to S104:
step S101, obtaining current flight information and airplane information from a civil aviation airport system;
step S102, obtaining an original flight plan through edge calculation, and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information;
step S103, determining one or more user terminals to acquire the current flight scheduling plan according to the current flight scheduling plan;
and step S104, sending the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals schedule according to the current flight scheduling plan.
The method and the device can acquire the current flight information and the current airplane information from the civil aviation airport system; obtaining an original flight plan through edge calculation, and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information; determining one or more user terminals to be used for acquiring the current flight scheduling plan according to the current flight scheduling plan; and sending the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals schedule according to the current flight scheduling plan. It can be seen that, in the embodiments of the present application, edge calculation may be added to solve a problem that may occur in scheduling, and after the current situation of a flight or an airplane is identified, an optimal flight scheduling plan may be processed and obtained, and a response is immediately made, so that problems of flight delay or maintenance and the like caused by an untimely feedback of scheduling problems or equipment problems in an airport system are solved, the efficiency of airport operation is improved, and the probability of an accident may be reduced.
In the embodiment of the present application, a possible implementation manner is provided, where in the step S102, the current flight scheduling plan is obtained by edge calculation based on the original flight plan, the current flight information, and the airplane information, and specifically, the following steps a1 to a2 may be included:
step A1, calculating the delay and cancellation cost of flights and the delay and cancellation cost of passenger trips based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain cost parameters;
and step A2, optimizing and adjusting the aircraft path based on the calculated cost parameters, further calculating and assigning the aircraft to the flight needing to be executed, and generating the current flight scheduling plan.
According to the method and the device, the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey can be calculated by combining the original flight plan, the current flight information and the airplane information, the cost parameter is obtained, the airplane path is optimized and adjusted based on the calculated cost parameter, the airplane is calculated and assigned to the flight needing to be executed, and the current flight scheduling plan is generated, so that the generated current flight scheduling plan is more accurate and meets the scheduling requirement.
Before the step S102 obtains the current flight scheduling plan based on the original flight plan, the current flight information, and the airplane information through edge calculation, the embodiment of the present application provides a possible implementation manner, and the method may further include the following steps B1 to B3:
step B1, arranging one or more edge computing nodes and connecting the one or more edge computing nodes with an acquisition unit for acquiring current flight information and airplane information from the civil aviation airport system in a communication way;
step B2, determining the edge computing node in working state in one or more edge computing nodes;
and step B3, transmitting the current flight information and the airplane information to the edge computing node in the working state in real time.
According to the implementation example of the application, one or more edge computing nodes are arranged and are in communication connection with an acquisition unit used for acquiring current flight information and airplane information from a civil aviation airport system, so that the edge computing node in a working state in the one or more edge computing nodes is determined, then the current flight information and the airplane information are sent to the edge computing node in the working state in real time, a proper edge computing node can be selected, and the computing efficiency is improved.
The embodiment of the present application provides a possible implementation manner, and may also identify a problem of a faulty aircraft, which specifically may include the following steps C1 to C4:
step C1, acquiring the monitoring video data of the airplane from the civil aviation airport system;
step C2, identifying the acquired monitoring video data through edge calculation, and determining the fault airplane with problems;
step C3, generating alarm information which represents the fault airplane with problems;
and step C4, sending the alarm information to the preset terminal equipment, so as to inform the preset terminal equipment staff of the alarm information.
According to the method and the device, the monitoring video data of the airplane are obtained from the civil aviation airport system, the faulty airplane with problems is determined according to the monitoring video data obtained through edge calculation and identification, the alarm information of the faulty airplane with problems is generated and sent to the preset terminal device, and therefore the staff of the preset terminal device is informed of the alarm information. It can be seen that the fault aircraft can be accurately identified and related workers can be informed in time, and the fault repairing efficiency is improved.
A possible implementation manner is provided in the embodiment of the present application, in step C2, the obtained surveillance video data is identified through edge calculation, and a faulty airplane with problems is determined, specifically, each frame in the obtained surveillance video data may be converted into a corresponding frame image; for each frame image, intercepting n rectangular images in each frame image according to the predetermined rectangular area coordinates of n selected areas, wherein n is a positive integer greater than 1; processing the n rectangular images, converting the n rectangular images into n square images with specified side length, and combining the n square images into an integral square image according to a preset arrangement sequence; inputting the whole square image into a pre-trained fault recognition model, and predicting the fault corresponding to the whole square image by using the trained fault recognition model to obtain a prediction result; and determining the fault airplane with the problem according to the prediction result. According to the method and the device, the faulted airplane with problems can be accurately identified through an image identification means, and meanwhile, the identification efficiency is improved.
The embodiment of the application provides a possible implementation manner, before intercepting n rectangular images in each frame image according to the predetermined rectangular area coordinates of n selected areas for each frame image, whether position change occurs or not when a monitoring camera acquires monitoring video data currently and acquires sample video when the rectangular area coordinates of the n selected areas are determined can be judged; if the position changes, determining an affine transformation matrix of the position changes; and converting the determined rectangular area coordinates of the n selected areas by using an affine transformation matrix to obtain the converted rectangular area coordinates of the n selected areas, and accordingly, for each frame image, intercepting the n rectangular images in each frame image according to the converted rectangular area coordinates of the n selected areas.
In the embodiment, if the position of the camera is not changed, the camera does not need to be calibrated, the purpose of calibration is to adjust the change of the position of the camera or the change of the angle of the camera to bring the change of the position of the pre-selection frame in the image, so that the accuracy of image selection can be improved, and the accuracy of identification is further improved.
The embodiment of the present application provides a possible implementation manner, step S104 sends the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals perform scheduling according to the current flight scheduling plan, specifically, a wireless gateway is arranged, alarm information is sent to the arranged wireless gateway, the alarm information is sent to a preset terminal device through the wireless gateway, and thus, a worker of the preset terminal device is notified of the alarm information.
In the above, various implementation manners of each link of the embodiment shown in fig. 1 are introduced, and an implementation process of the civil aviation aircraft scheduling optimization method based on edge calculation will be described in detail below by using a specific embodiment.
Another embodiment of the present application provides an edge-computation-based civil aviation aircraft scheduling optimization method, which may include the following steps S201 to S205, as shown in fig. 2.
Step S201, obtaining the original flight plan, the current flight information and the airplane information from the civil aviation airport system.
Step S202, calculating the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain cost parameters.
And step S203, optimizing and adjusting the aircraft path based on the calculated cost parameter, further calculating and assigning the aircraft to the flight needing to be executed, and generating the current flight scheduling plan.
Step S204, determining one or more user terminals to acquire the current flight scheduling plan according to the current flight scheduling plan.
And S205, arranging the wireless gateway, sending the alarm information to the arranged wireless gateway, and sending the alarm information to the preset terminal equipment through the wireless gateway, so that the alarm information is notified to the staff of the preset terminal equipment.
According to the method and the device, the problem possibly occurring in scheduling can be solved by adding edge calculation aiming at the scheduling problem, the optimal flight scheduling plan can be processed and obtained after the current flight and airplane conditions are identified, and the response is immediately carried out, so that the problems of flight delay or maintenance and the like caused by untimely feedback of scheduling problems or equipment problems in an airport system are solved, the airport operation efficiency is improved, and the probability of possible accidents is reduced.
It should be noted that, in practical applications, all the possible embodiments described above may be combined in a combined manner at will to form possible embodiments of the present application, and details are not described here again.
Based on the civil aviation aircraft scheduling optimization method based on edge calculation provided by each embodiment, the embodiment of the application also provides a civil aviation aircraft scheduling optimization device based on edge calculation based on the same inventive concept.
Fig. 3 is a block diagram illustrating a civil aviation aircraft scheduling optimization device based on edge calculation according to an embodiment of the present application. As shown in fig. 3, the civil aviation aircraft scheduling optimization apparatus based on edge calculation may include an obtaining unit 310, a generating unit 320, a determining unit 330, and a transmitting unit 340.
An obtaining unit 310, configured to obtain current flight information and airplane information from a civil aviation airport system;
the generating unit 320 is configured to obtain an original flight plan through edge calculation, and obtain a current flight scheduling plan based on the original flight plan, current flight information, and airplane information;
a determining unit 330, configured to determine, according to the current flight scheduling plan, one or more user terminals that are to acquire the current flight scheduling plan;
a sending unit 340, configured to send the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals perform scheduling according to the current flight scheduling plan.
In the embodiment of the present application, a possible implementation manner is provided, and the generating unit 320 shown in fig. 3 is further configured to:
calculating the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain a cost parameter;
and optimizing and adjusting the path of the airplane based on the calculated cost parameters, calculating and assigning the airplane to the flight needing to be executed, and generating the current flight scheduling plan.
In the embodiment of the present application, a possible implementation manner is provided, and the generating unit 320 shown in fig. 3 is further configured to:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes with an acquisition unit for acquiring current flight information and airplane information from a civil aviation airport system in a communication way;
determining an edge computing node in a working state from the one or more edge computing nodes;
and sending the current flight information and the airplane information to the edge computing node in the working state in real time.
In an embodiment of the present application, a possible implementation manner is provided, and the obtaining unit 310 shown in fig. 3 is further configured to: acquiring monitoring video data of an airplane from a civil aviation airport system;
the generating unit 320 is further configured to: identifying the obtained monitoring video data through edge calculation, and determining a faulty airplane with problems; generating an alert message indicating a malfunctioning aircraft
The sending unit 340 is further configured to: and sending the alarm information to a preset terminal device, so as to inform the preset terminal device of the alarm information.
In the embodiment of the present application, a possible implementation manner is provided, and the generating unit 320 shown in fig. 3 is further configured to:
converting each frame in the acquired monitoring video data into a corresponding frame image;
for each frame image, intercepting n rectangular images in each frame image according to the predetermined rectangular area coordinates of n selected areas, wherein n is a positive integer greater than 1;
processing the n rectangular images, converting the n rectangular images into n square images with specified side length, and combining the n square images into an integral square image according to a preset arrangement sequence;
inputting the whole square image into a pre-trained fault recognition model, and predicting the fault corresponding to the whole square image by using the trained fault recognition model to obtain a prediction result;
and determining the faulted airplane with the problem according to the prediction result.
In the embodiment of the present application, a possible implementation manner is provided, and the generating unit 320 shown in fig. 3 is further configured to:
before intercepting n rectangular images in each frame image according to the predetermined rectangular area coordinates of the n selected areas for each frame image, judging whether the position change occurs when a monitoring camera acquires monitoring video data currently and acquires a sample video when the rectangular area coordinates of the n selected areas are determined;
if the position changes, determining an affine transformation matrix of the position changes;
and converting the determined rectangular area coordinates of the n selected areas by using an affine transformation matrix to obtain the converted rectangular area coordinates of the n selected areas, and accordingly, for each frame image, intercepting the n rectangular images in each frame image according to the converted rectangular area coordinates of the n selected areas.
In the embodiment of the present application, a possible implementation manner is provided, and the sending unit 340 shown in fig. 3 is further configured to:
and arranging a wireless gateway, sending the alarm information to the arranged wireless gateway, sending the alarm information to a preset terminal device through the wireless gateway, and informing the preset terminal device of the staff of the alarm information.
It can be clearly understood by those skilled in the art that the specific working processes of the system, the apparatus, and the module described above may refer to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, the details are not repeated herein.
Those of ordinary skill in the art will understand that: the technical solution of the present application may be essentially or wholly or partially embodied in the form of a software product, where the computer software product is stored in a storage medium and includes program instructions for enabling an electronic device (e.g., a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application when the program instructions are executed. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or the like.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (an electronic device such as a personal computer, a server, or a network device) associated with program instructions, which may be stored in a computer-readable storage medium, and when the program instructions are executed by a processor of the electronic device, the electronic device executes all or part of the steps of the method described in the embodiments of the present application.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments can be modified or some or all of the technical features can be equivalently replaced within the spirit and principle of the present application; such modifications or substitutions do not depart from the scope of the present application.
Claims (10)
1. A civil aviation aircraft scheduling optimization method based on edge calculation is characterized by comprising the following steps:
acquiring current flight information and airplane information from a civil aviation airport system;
obtaining an original flight plan through edge calculation, and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information;
determining one or more user terminals to be used for acquiring the current flight scheduling plan according to the current flight scheduling plan;
and sending the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals carry out scheduling according to the current flight scheduling plan.
2. The civil aviation aircraft scheduling optimization method based on edge computing as claimed in claim 1, wherein the obtaining of the current flight scheduling plan based on the predetermined flight plan, the current flight information and the aircraft information through edge computing comprises:
calculating the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain a cost parameter;
and optimizing and adjusting the aircraft path based on the calculated cost parameter, further calculating and assigning the aircraft to the flight needing to be executed, and generating the current flight scheduling plan.
3. The edge-computing-based civil aviation aircraft scheduling optimization method of claim 1, further comprising:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes with an acquisition unit for acquiring current flight information and airplane information from a civil aviation airport system in a communication way;
determining an edge computing node in a working state from the one or more edge computing nodes;
and sending the current flight information and the airplane information to the edge computing node in a working state in real time.
4. The edge-computing-based civil aviation aircraft scheduling optimization method of claim 1, further comprising:
acquiring monitoring video data of an airplane from a civil aviation airport system;
identifying the obtained monitoring video data through edge calculation, and determining a faulty airplane with problems;
generating alarm information representing a faulty aircraft with a problem;
and sending the alarm information to a preset terminal device, so as to inform the preset terminal device of the alarm information.
5. The civil aviation aircraft scheduling optimization method based on edge calculation according to claim 4, wherein the step of identifying the obtained monitoring video data through edge calculation to determine the faulty aircraft with problems comprises the following steps:
converting each frame in the acquired monitoring video data into a corresponding frame image;
for each frame image, intercepting n rectangular images in each frame image according to the predetermined rectangular area coordinates of n selected areas, wherein n is a positive integer greater than 1;
processing the n rectangular images, converting the n rectangular images into n square images with specified side length, and combining the n square images into an integral square image according to a preset arrangement sequence;
inputting the whole square image into a pre-trained fault recognition model, and predicting the fault corresponding to the whole square image by using the trained fault recognition model to obtain a prediction result;
and determining the faulted airplane with the problem according to the prediction result.
6. The edge-computation-based civil aviation aircraft dispatch optimization method of claim 5, wherein before for each frame image, truncating n rectangular images in each frame image according to predetermined rectangular region coordinates of n selected regions, the method further comprises:
judging whether the position changes or not when the monitoring camera collects monitoring video data currently and samples videos are collected when the coordinates of the rectangular areas of the n selected areas are determined;
if the position changes, determining an affine transformation matrix of the position changes;
and converting the determined rectangular area coordinates of the n selected areas by using an affine transformation matrix to obtain the converted rectangular area coordinates of the n selected areas, and accordingly, for each frame image, intercepting the n rectangular images in each frame image according to the converted rectangular area coordinates of the n selected areas.
7. The civil aviation aircraft scheduling optimization method based on edge computing as claimed in claim 4, wherein sending the alarm information to a preset terminal device so as to inform a worker of the preset terminal device of the alarm information comprises:
and arranging a wireless gateway, sending the alarm information to the arranged wireless gateway, and sending the alarm information to a preset terminal device through the wireless gateway, so that a worker of the preset terminal device is informed of the alarm information.
8. An edge-computing-based civil aviation aircraft scheduling optimization device, comprising:
the acquisition unit is used for acquiring current flight information and airplane information from a civil aviation airport system;
the generating unit is used for acquiring an original flight plan through edge calculation and obtaining a current flight scheduling plan based on the original flight plan, current flight information and airplane information;
a determining unit, configured to determine, according to the current flight scheduling plan, one or more user terminals that are to acquire the current flight scheduling plan;
and a sending unit, configured to send the current flight scheduling plan to the determined one or more user terminals, so that the one or more user terminals perform scheduling according to the current flight scheduling plan.
9. The edge-computation-based civil aviation aircraft dispatch optimization device of claim 8, wherein the generation unit is further configured to:
calculating the delay and cancellation cost of the flight and the delay and cancellation cost of the passenger journey based on the original flight plan, the current flight information and the airplane information through edge calculation to obtain a cost parameter;
and optimizing and adjusting the aircraft path based on the calculated cost parameter, further calculating and assigning the aircraft to the flight needing to be executed, and generating the current flight scheduling plan.
10. The edge-computation-based civil aviation aircraft dispatch optimization device of claim 8, wherein the generation unit is further configured to:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes with an acquisition unit for acquiring current flight information and airplane information from a civil aviation airport system in a communication way;
determining an edge computing node in a working state from the one or more edge computing nodes;
and sending the current flight information and the airplane information to the edge computing node in the working state in real time.
Priority Applications (1)
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