CN112734113A - Time resource optimization method based on three-dimensional view and related product - Google Patents
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Abstract
The invention relates to a time resource optimization method based on a three-dimensional view and a related product, wherein the time resource optimization method based on the three-dimensional view comprises the following steps: processing the acquired flight data according to the time distribution of each shift day to obtain first time data; carrying out visualization processing on the first moment data to establish a three-dimensional view; and performing time virtual occupation analysis based on the three-dimensional view, and optimizing the time resources. By means of the method, the factors such as the shift, the time, the airline department, the number of flights and the like can be analyzed at the same time, the flight distribution condition of each time of each shift day is visually displayed, and the method is beneficial to the virtual occupation analysis of the time and the optimization of time resources.
Description
Technical Field
The invention relates to the technical field of aviation information, in particular to a time resource optimization method based on a three-dimensional view and a related product.
Background
When an airline company executes a flight shift, a phenomenon of delaying or cancelling the flight may occur, and when the flight is delayed, on one hand, due to the delay, occupation of airport ground service resources can be caused, and on the other hand, subsequent other flights can also be delayed, so that a continuous delay phenomenon occurs at the moment, thereby increasing the operation time of a unit and the ground service and improving the operation cost. Therefore, monitoring and optimizing the overall time resource are of great importance to airports or navigation systems.
At present, tables, histograms or pie charts are made of time resources manually for statistics, but because the time resources not only relate to the dimension of entering and leaving ports, but also include factors such as the number of flights, the time, the department of navigation and the number of flights, the statistics and analysis are only carried out on the tables, the histograms or the pie charts, the efficiency is low, various factors cannot be analyzed simultaneously, the optimization of the time resources is not facilitated, and the tables, the histograms or the pie charts are used for monitoring the time resources, so that the statistics and analysis are not visual enough, and the requirement on the professional degree of an analyst is high.
Therefore, a time resource optimization method is needed, which can realize the visualization of time resources, analyze factors such as shift, time, airline department, number of flights and the like, efficiently and intuitively display the flight distribution situation of each time of each shift day, and is beneficial to the virtual occupation analysis of the time.
Disclosure of Invention
The method aims to solve the technical problems of the existing time resource optimization method. The invention provides a time resource optimization method based on a three-dimensional view and a related product.
One of the technical solutions of the present invention for solving the above technical problems is as follows:
a method for time resource optimization based on three-dimensional views comprises the following steps:
processing the acquired flight data according to the time distribution of each shift day to obtain first time data;
carrying out visualization processing on the first moment data to establish a three-dimensional view;
and performing time virtual occupation analysis based on the three-dimensional view, and optimizing the time resources.
The invention has the beneficial effects that: the flight data are processed and the three-dimensional view is established, so that the flight distribution condition of each time of each shift day is visually displayed, and the virtual occupation analysis of the time is facilitated to monitor and optimize the whole time resource.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the flight data obtaining process includes:
and acquiring the flight data from a back-end database according to query information, wherein the query information comprises a target airport, an inbound/outbound state or/and a target year and month, and the flight data comprises the names of the navigation departments which accord with the query information and time data corresponding to each name of the navigation departments.
The beneficial effect who adopts above-mentioned improvement scheme is: the method comprises the steps of obtaining multiple factors related to time resources from a database, realizing simultaneous analysis of the multiple factors by establishing a three-dimensional view, and facilitating time virtual occupation analysis and time distribution optimization.
Further, the acquiring process of the first time data includes:
respectively merging the virtual occupation data according to the time distribution of each shift day to obtain second time data corresponding to each navigation department name;
and merging the second time data corresponding to at least one navigation department name to obtain the first time data corresponding to the time distribution of each shift day.
The beneficial effect who adopts above-mentioned improvement scheme is: the navigation department can be selected according to actual needs, and the time resources of the selected navigation department are monitored and analyzed, so that the efficiency of time distribution optimization is improved.
Further, still include:
merging the second moment data to obtain the number of inbound/outbound flights of the target year and month corresponding to each driver name;
and displaying the name of the navigation department and the number of inbound/outbound flights of the target year and month corresponding to the name of the navigation department in the three-dimensional view.
The beneficial effect who adopts above-mentioned improvement scheme is: by visually displaying the total time resource occupation condition of each navigation department, the time resource can be conveniently optimized by an analyst.
Further, the visualizing the data at the first time and establishing the three-dimensional view includes:
splitting and merging the first time data to obtain three-dimensional visual data, wherein the three-dimensional visual data comprises a scheduling day, time distribution of the scheduling day and the number of inbound/outbound flights;
and carrying out visualization processing on the three-dimensional visualization data by utilizing an echarts model to establish the three-dimensional view.
The beneficial effect who adopts above-mentioned improvement scheme is: the echarts model is used for carrying out three-dimensional visual presentation on the airport moments by taking the arrival/departure as dimensions, the flight distribution condition of each moment of each shift day can be visually displayed, the virtual occupation analysis and the moment distribution optimization are facilitated, and the efficiency is improved.
Further, still include:
for each coordinate point in the three-dimensional view, dividing the coordinate point based on the number of inbound/outbound flights to obtain a mark area;
and marking each marking area by using colors with different depths.
The beneficial effect who adopts above-mentioned improvement scheme is: the crowdedness degree of the moment is visually displayed by using the depth of the color, the visual effect of the moment resources is further improved, and the virtual occupation analysis and the time distribution optimization of the moment are facilitated.
Further, still include:
and establishing a time threshold layer in the three-dimensional view according to the airport accommodation amount corresponding to the time distribution of each shift day.
The beneficial effect who adopts above-mentioned improvement scheme is: by setting the time threshold layer, the time distribution of each navigation department or the relative relation between the time distribution of the whole airport and the time threshold in a saturated state can be displayed more clearly, and the time virtual account analysis and the time distribution optimization are facilitated.
Further, still include:
the scheduling days comprise every day from Monday to Sunday, and each scheduling day is divided into 24 moments which are used as the moment distribution of each scheduling day.
The beneficial effect who adopts above-mentioned improvement scheme is: according to the actual flight virtual occupation time distribution rule, reasonable time statistical analysis is carried out on flight data, and the accuracy of time resource optimization is improved.
The second technical solution of the present invention for solving the above technical problems is as follows:
the invention also provides a system for optimizing the time resources based on the three-dimensional view, which comprises a processing module, a visualization module and an optimization module;
the processing module is used for processing the acquired flight data according to the time distribution of each shift day to obtain first time data;
the visualization module is used for performing visualization processing on the first moment data and establishing a three-dimensional view;
and the optimization module is used for carrying out time virtual occupation analysis based on the three-dimensional view and optimizing the time resources.
The invention has the beneficial effects that: the flight data are processed and the three-dimensional view is established, so that the flight distribution condition of each time of each shift day is visually displayed, and the integral time resource is monitored and optimized.
Further, the system also comprises an acquisition module;
the acquisition module is used for acquiring the flight data from a back-end database according to query information, wherein the query information comprises a target airport, an inbound/outbound state and a target year and month, and the flight data comprises the names of the navigation departments conforming to the query information and time data corresponding to each name of the navigation departments.
The beneficial effect who adopts above-mentioned improvement scheme is: the method comprises the steps of obtaining multiple factors related to time resources from a database, realizing simultaneous analysis of the multiple factors by establishing a three-dimensional view, and facilitating time virtual occupation analysis and time distribution optimization.
An electronic device comprising a memory, a processor and a program stored in the memory and running on the processor, wherein the processor implements all or part of the steps of any one of the methods for time-of-day resource optimization based on three-dimensional views when executing the program.
Drawings
Fig. 1 is a schematic flowchart of a method for time resource optimization based on a three-dimensional view according to an embodiment of the present invention;
fig. 2 is a three-dimensional view of a layer with a time threshold provided in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a system for time resource optimization based on three-dimensional views according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a system for time-of-day resource optimization based on three-dimensional views according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
The following examples are further illustrative and supplementary to the present invention and do not limit the present invention in any way.
The method for time resource optimization based on three-dimensional views according to the embodiments of the present invention is described below with reference to the accompanying drawings.
Referring to fig. 1, the present invention provides a method for time resource optimization based on three-dimensional view, including:
s1, processing the acquired flight data according to the time distribution of each shift day to obtain first time data;
s2, carrying out visualization processing on the first moment data to establish a three-dimensional view;
and S3, performing time virtual occupation analysis based on the three-dimensional view, and optimizing the time resources.
The method for optimizing the time resources based on the three-dimensional view solves the problems that the efficiency is low, the method is not visual enough, various factors cannot be analyzed simultaneously, and the optimization of the time resources is not facilitated due to the fact that the time resources are analyzed in a statistical mode through a table, a histogram or a pie chart, flight data are processed and the three-dimensional view is established, so that the flight distribution situation of each time of each scheduling day is displayed visually, the time virtual account analysis is facilitated, the airport flight time configuration is adjusted reasonably, the time resources are optimized, and the problems that the time waste is caused by the fact that flights cannot be executed due to reasons such as transport capacity and the like are solved.
For example, the virtual occupancy of the time can be analyzed based on the actual capacity of the airport and the flight distribution of each time, so that the quota of the time resource of each flight and the specific schedule of the airport can be reasonably adjusted, the overall time resource can be optimized, the utilization rate of the airport and airspace resources can be improved, the occurrence of air traffic conflicts and congestion can be reduced, and the total time delay of the airport can be reduced.
Further, in one embodiment, the shift days include each day from monday to sunday, and each shift day is divided into 24 time points as the time distribution of each shift day.
Preferably, the flight data obtaining process includes:
and acquiring the flight data from a back-end database according to query information, wherein the query information comprises a target airport, an inbound/outbound state or/and a target year and month, and the flight data comprises the names of the navigation departments which accord with the query information and time data corresponding to each name of the navigation departments.
It should be noted that the target airport may be a three-character code of an airport to be queried, and data to be drawn is acquired from an interface/bas is-chart/time/resource according to a query condition of the three-character code of the airport to be queried, entering/leaving port and the target year and month, and the data is returned to a JSON format.
Specifically, in this embodiment, the user inputs the target airport, year and month, and the system acquires flight data conforming to the query instruction from the database, for example, the system can acquire all flight data of 10 month arrival at Shenzhen Shenan airport, including the name of the driver and the time distribution of arrival of the corresponding flight from the database according to the query instruction.
For example, a count (24) array of one of the target months corresponding to the Sichuan aviation is obtained, and the array specifically includes:
count：(24)[1,1,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,0,3,1,1]；
the count (24) represents 24 times of a day, the array elements represent the number of inbound flights of Sichuan aviation at a certain time, the inbound flights are time data of one day in a target month corresponding to the Sichuan aviation, and the array elements sequentially represent that one inbound flight is at 0 point, one inbound flight is at 1 point, and the like.
Further, in an embodiment, the acquiring of the first time data includes:
respectively merging the time data according to the time distribution of each shift day to obtain second time data corresponding to each navigation department name;
and merging the second time data corresponding to at least one navigation department name to obtain the first time data corresponding to the time distribution of each shift day.
In particular, in this embodiment,
in order to obtain data for drawing a three-dimensional view, the time data can be merged to obtain the time data of each day from Monday to Sunday, and the time data from Monday to Sunday is summarized into a weekData array, so that traversal statistics is facilitated;
data processing is performed on different days and different times, for example, data of monday is time data of 30 airline departments, the time data of each airline department needs to be combined at present, and sorting is performed according to time distribution of each shift day, so that the number of ports of entry at each time of all airline departments of monday is obtained, and can be represented by an array:
(24)[13,13,0,0,0,0,0,1,5,5,9,12,11,13,8,11,13,12,12,10,11,10,11,13]；
the array elements are still sorted according to time, starting from 0 and ending at 23, and are the port entry numbers of 0 to 23 of all navigation systems on Monday.
Looping through the above steps ultimately generates seven such arrays, which in turn correspond to the detailed data for each day from Monday through Sunday.
It should be noted that the navigation department requiring data combination may be selected according to actual needs, for example, the data of only one of the navigation departments may be subjected to drawing and displaying of a three-dimensional view, or the navigation department may be completely selected according to user needs, and corresponding drawing and displaying of a three-dimensional view is performed, so that virtual occupation analysis may be performed on each navigation department, and thus, time resources may be optimized, for example, flight times of each navigation department that are unreasonably arranged may be reduced and integrated based on the virtual occupation analysis of each navigation department, so that a part of flight time resources may be obtained, and may be allocated to the navigation department whose number of flights in the three-dimensional view has not reached saturation, so that the time resources may be optimized, and utilization rates of airport and airspace resources may be improved.
Further, in one embodiment, the method further comprises: merging the second moment data to obtain the number of inbound/outbound flights of the target year and month corresponding to each driver name; and displaying the name of the navigation department and the number of inbound/outbound flights of the target year and month corresponding to the name of the navigation department in the three-dimensional view.
Specifically, in this embodiment, when the names of the departments and the numbers of inbound/outbound flights of the target months of the year corresponding to the names of the departments are displayed in the three-dimensional view, the names of the departments and the numbers of the inbound/outbound flights may be labeled and displayed by using colors of different depths according to the numerical values of the numbers of the inbound/outbound flights, for example, a color display block is added after the display of the numbers of the inbound/outbound flights, so as to facilitate virtual account analysis of each department.
Further, in an embodiment, the visualizing the data at the first time and establishing the three-dimensional view includes:
splitting and merging the first time data to obtain three-dimensional visual data, wherein the three-dimensional visual data comprises a scheduling day, time distribution of the scheduling day and the number of inbound/outbound flights;
and carrying out visualization processing on the three-dimensional visualization data by utilizing an echarts model to establish the three-dimensional view.
Specifically, in this embodiment, the data at the first time is split and merged into an array [ y, x, z ] format, traversal operation is performed on the data every day, so that the data corresponds to x and y axes and is assigned as z, where the y axis represents the data of the day of the week (shift day), the x axis represents the distribution of the time, and the z axis represents the number of inbound flights at a certain time corresponding to a certain shift day, and then the data is transmitted to an echarts model, and a three-dimensional view is created by using the echarts model.
Further, in one embodiment, the method further comprises: for each coordinate point in the three-dimensional view, dividing the coordinate point based on the number of inbound/outbound flights to obtain a mark area; and marking each marking area by using colors with different depths.
Specifically, in this embodiment, the setting module switches the degree of congestion of the display time to further improve the effect of time visualization, for example, the time is marked with a preset color depth, and at this time, assuming that the number of inbound flights at saturday-23 time is 15, which is the maximum value among all the times, this point is marked with the deepest color, and it should be noted that the color depth can be determined by using the RGB values of the colors according to the formula G ═ R × 0.299+ G × 0.587+ B × 0.114, and the smaller G indicates the darker color.
Further, in one embodiment, the method further comprises: and establishing a time threshold layer in the three-dimensional view according to the airport accommodation amount corresponding to the time distribution of each shift day.
Specifically, in this embodiment, in order to more clearly display the time distribution of each navigation department or the relative relationship between the time distribution of the whole airport and the time threshold in the saturation state, a time threshold map layer may be provided.
For example, because the accommodation amounts of different airports are different, the threshold value may be set by referring to the saturation degree of the time distribution of the airport, as shown in fig. 2, the time threshold value map layer is located above the three-dimensional model representing the time data of each flight in the airport arrival state, and it can be visually seen from the three-dimensional view that the arrival number of flights at each time of the airport has not reached the airport accommodation amount, at this time, the difference between the arrival number of flights at each time and the corresponding saturation accommodation amount at each time in the map can be analyzed, the flight shift and the flight time number can be adaptively adjusted, the waste of ground service resources at each time can be reduced, and thus the flight time resources can be reasonably used.
In the above embodiments, although the steps are numbered as S1, S2, etc., but only the specific embodiments are given in this application, a person skilled in the art may adjust the execution sequence of S1, S2, etc. according to the actual situation, and this is within the scope of the present invention, and it is understood that some embodiments may include some or all of the above embodiments.
As shown in fig. 3, a system 10 for time resource optimization based on three-dimensional view according to an embodiment of the present invention includes a processing module 20, a visualization module 30, and an optimization module 40;
the processing module 20 is configured to process the acquired flight data according to the time distribution of each shift day to obtain first time data;
the visualization module 30 is configured to perform visualization processing on the first time data to establish a three-dimensional view;
the optimization module 40 is configured to perform a time virtual occupation analysis based on the three-dimensional view, and optimize the time resource.
Optionally, in an embodiment, as shown in fig. 4, an obtaining module 50 is further included;
the obtaining module 50 is configured to obtain the flight data from a back-end database according to query information, where the query information includes a target airport, an inbound/outbound status, and/or a target year and month, and the flight data includes a driver name that meets the query information and time data corresponding to each driver name.
Optionally, in an embodiment, the processing module 20 is specifically configured to respectively perform merging processing on the time data according to the time distribution of each shift day to obtain second time data corresponding to each name of the driver; and merging the second time data corresponding to at least one navigation department name to obtain the first time data corresponding to the time distribution of each shift day.
Optionally, in an embodiment, the visualization module 30 includes a first processing module, and the first processing module is configured to split and combine the first time data to obtain three-dimensional visualization data, where the three-dimensional visualization data includes a shift schedule day, a time distribution of the shift schedule day, and a number of inbound/outbound flights; and carrying out visualization processing on the three-dimensional visualization data by utilizing an echarts model to establish the three-dimensional view.
Optionally, in an embodiment, the first processing module is further configured to establish a time threshold map layer in the three-dimensional view according to airport holding capacity corresponding to the time distribution of each shift day.
Optionally, in an embodiment, the visualization module 30 further includes a navigation department data module, and the navigation department data module is configured to combine the second time data to obtain the number of inbound/outbound flights of the target month and year corresponding to each name of the navigation department; and displaying the name of the navigation department and the number of inbound/outbound flights of the target year and month corresponding to the name of the navigation department in the three-dimensional view.
Optionally, in an embodiment, the visualization module 30 further includes a marking module, and the marking module is configured to, for each coordinate point in the three-dimensional view, divide the coordinate point based on the number of inbound/outbound flights to obtain a marked area;
and marking each marking area by using colors with different depths.
Preferably, the shift days include every day from monday to sunday, and each shift day is divided into 24 time points as the time distribution of each shift day.
The invention realizes the three-dimensional visualization of time resources by utilizing the echarts tool, has high efficiency, can simultaneously analyze factors such as the shift, the time, the airline department, the number of flights and the like, visually displays the flight distribution condition of each time of each shift day, is favorable for the optimization of time distribution and the virtual occupation analysis of the time, and improves the efficiency.
As shown in fig. 5, an electronic device 500 according to an embodiment of the present invention includes a memory 510, a processor 520, and a program 530 stored in the memory 510 and running on the processor 520, where the processor 520 executes the program 530 to implement any of the above-described steps of the method for time-of-day resource optimization based on three-dimensional views.
The electronic device 500 may be a computer, a mobile phone, or the like, and correspondingly, the program 530 is computer software or a mobile phone App, and the parameters and the steps in the electronic device 500 according to the present invention may refer to the parameters and the steps in the above embodiment of the method for time resource optimization based on a three-dimensional view, which are not described herein again.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention essentially or contributing to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes several instructions for enabling a terminal (which may be a computer, a server or a network device) to execute the method according to the embodiments of the present invention.
As will be appreciated by one skilled in the art, the present invention may be embodied as a system, method or computer program product. Accordingly, the present disclosure may be embodied in the form of: may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software, and may be referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, the invention may also be embodied in the form of a computer program product in one or more computer-readable media having computer-readable program code embodied in the medium.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method for time resource optimization based on three-dimensional view is characterized by comprising the following steps:
processing the acquired flight data according to the time distribution of each shift day to obtain first time data;
carrying out visualization processing on the first moment data to establish a three-dimensional view;
and performing time virtual occupation analysis based on the three-dimensional view, and optimizing the time resources.
2. The method of claim 1, wherein the flight data acquisition process comprises:
and acquiring the flight data from a back-end database according to query information, wherein the query information comprises a target airport, an inbound/outbound state or/and a target year and month, and the flight data comprises the names of the navigation departments which accord with the query information and time data corresponding to each name of the navigation departments.
3. The method of claim 2, wherein the obtaining of the data at the first time comprises:
according to the time distribution of each shift day, merging the time data respectively to obtain second time data corresponding to each navigation department name;
and merging the second time data corresponding to at least one navigation department name to obtain the first time data corresponding to the time distribution of each shift day.
4. The method of claim 3, further comprising:
merging the second moment data to obtain the number of inbound/outbound flights of the target year and month corresponding to each driver name;
and displaying the name of the navigation department and the number of inbound/outbound flights of the target year and month corresponding to the name of the navigation department in the three-dimensional view.
5. The method of claim 1, wherein visualizing the data at the first time comprises:
splitting and merging the first time data to obtain three-dimensional visual data, wherein the three-dimensional visual data comprises a scheduling day, time distribution of the scheduling day and the number of inbound/outbound flights;
and carrying out visualization processing on the three-dimensional visualization data by utilizing an echarts model to establish the three-dimensional view.
6. The method of claim 5, further comprising:
for each coordinate point in the three-dimensional view, dividing the coordinate point based on the number of inbound/outbound flights to obtain a mark area;
and marking each marking area by using colors with different depths.
7. The method of any of claims 1 to 6, further comprising: and establishing a time threshold layer in the three-dimensional view according to the airport accommodation amount corresponding to the time distribution of each shift day.
8. The method of any of claims 1 to 6, further comprising: the scheduling days comprise every day from Monday to Sunday, and each scheduling day is divided into 24 moments which are used as the moment distribution of each scheduling day.
9. A time resource optimization system based on a three-dimensional view is characterized by comprising a processing module, a visualization module and an optimization module;
the processing module is used for processing the acquired flight data according to the time distribution of each shift day to obtain first time data;
the visualization module is used for performing visualization processing on the first moment data and establishing a three-dimensional view;
and the optimization module is used for carrying out time virtual occupation analysis based on the three-dimensional view and optimizing the time resources.
10. An electronic device comprising a memory, a processor and a program stored on the memory and running on the processor, wherein the processor when executing the program implements the steps of a method for three-dimensional view-based temporal resource optimization according to any of claims 1 to 8.
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