CN110909418A - Flight simulation data processing method and device - Google Patents
Flight simulation data processing method and device Download PDFInfo
- Publication number
- CN110909418A CN110909418A CN201911111729.5A CN201911111729A CN110909418A CN 110909418 A CN110909418 A CN 110909418A CN 201911111729 A CN201911111729 A CN 201911111729A CN 110909418 A CN110909418 A CN 110909418A
- Authority
- CN
- China
- Prior art keywords
- data
- track
- client
- simulation
- track data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004088 simulation Methods 0.000 title claims abstract description 115
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 238000005070 sampling Methods 0.000 claims abstract description 63
- 238000012544 monitoring process Methods 0.000 claims abstract description 52
- 238000000034 method Methods 0.000 claims description 44
- 230000008569 process Effects 0.000 claims description 26
- 230000000737 periodic effect Effects 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 12
- 238000009877 rendering Methods 0.000 description 7
- 230000009471 action Effects 0.000 description 3
- 230000002123 temporal effect Effects 0.000 description 3
- 230000000903 blocking effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention provides a flight simulation data processing method and a device, which are applied to a server of a flight simulation system. Furthermore, track monitoring is matched with curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring, so that the phenomenon that the distortion of track sampling influences the observation of severe fluctuation of the airplane is avoided.
Description
Technical Field
The invention relates to the field of data processing, in particular to a flight simulation data processing method and device.
Background
The flight simulation system generally comprises the steps of parameter setting, flight planning waypoint setting, simulation monitoring, data playback and the like. In order to display the real-time position of the airplane in real time, a map control is usually required to draw the position of the airplane and the track that the airplane flies through. The flight simulation system carries out real-time flight simulation experiments, and the track data volume is large for the client and the server. In the existing simulation process, a server sends all track data from a simulation starting moment to a current moment to a client. With the increase of simulation time, the track data volume is continuously increased, in order to monitor the real-time track of the airplane, the client needs to render track curves of a large amount of data, and meanwhile, the track needs to be refreshed in real time, which consumes performance and may cause blocking.
Disclosure of Invention
In view of the above, the present invention provides a flight simulation data processing method and apparatus, which are intended to reduce the problems that the occupation of the refresh performance of the client is too much, resulting in jamming, rendering speed cannot keep up with the refresh speed, and the like.
In order to achieve the above object, the following solutions are proposed:
in a first aspect, the present invention provides a flight simulation data processing method, applied to a server of a flight simulation system, the method including:
counting the data volume of first track data, wherein the first track data are track data generated by the simulation of the server;
judging whether the data volume is larger than a preset track point threshold value or not, if so, sampling the first track data according to sampling intervals, sending second track data to a client of the flight simulation system, wherein the second track data are the sampled track data, the data volume of the second track data is not larger than the preset track point threshold value, and if not, sending the first track data to the client.
Optionally, the method further includes:
acquiring variable data to be monitored by the client;
and sending the variable data to the client so that the client performs curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring based on the variable data.
Optionally, the number of the clients is at least two; and simultaneously sending the trajectory data to be sent to each client in a periodic manner.
Optionally, the sending, to each client, trajectory data to be sent simultaneously in a periodic manner specifically includes:
and simultaneously sending the track data to be sent to each client side in a periodic mode based on a socket.
Optionally, the calculating process of the number of sampling intervals includes:
calculating to obtain simulation duration based on the data volume and the original time resolution of the first track data;
calculating a target time resolution based on the simulation duration and the track point number threshold;
and rounding up the ratio of the target time resolution to the original time resolution to obtain the sampling interval number.
Optionally, the calculating process of the number of sampling intervals includes:
and rounding up the ratio of the data volume of the first track data to the track point threshold value to obtain the sampling interval number.
In a second aspect, the present invention provides a flight simulation data processing apparatus, applied to a server of a flight simulation system, the apparatus including:
the statistical unit is used for counting the data volume of first track data, and the first track data is track data generated by the simulation of the server;
the judging unit is used for judging whether the data volume is larger than a preset track point threshold value or not, if so, the sampling sending unit is executed, and if not, the first sending unit is executed;
the sampling and sending unit is used for sampling the first track data according to the number of sampling intervals and sending second track data to a client of the flight simulation system, wherein the second track data is the sampled track data, and the data volume of the second track data is not more than the threshold of the number of preset track points;
the first sending unit is configured to send the first trajectory data to the client.
Optionally, the apparatus further includes:
the acquisition unit is used for acquiring variable data to be monitored by the client;
and the second sending unit is used for sending the variable data to the client so that the client can perform curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring based on the variable data.
Optionally, the number of the clients is at least two;
the second sending unit is specifically configured to:
and simultaneously sending the track data to be sent to each client in a periodic manner.
Optionally, the second sending unit is specifically configured to:
and simultaneously sending the track data to be sent to each client side in a periodic mode based on a socket.
Optionally, the apparatus further includes a sampling interval number calculating unit, where the sampling interval number calculating unit includes:
the simulation duration calculation subunit is used for calculating and obtaining the simulation duration based on the data volume and the original time resolution of the first track data;
the time resolution calculating subunit is used for calculating the target time resolution based on the simulation duration and the track point number threshold;
and the sampling interval number calculating subunit is used for rounding up the ratio of the target time resolution to the original time resolution to obtain the sampling interval number.
Optionally, the apparatus further includes: and the sampling interval number calculating unit is used for rounding up the ratio of the data volume of the first track data to the track point number threshold value to obtain the sampling interval number.
Compared with the prior art, the technical scheme of the invention has the following advantages:
the method comprises the steps of counting the data volume of the track data generated by the simulation of the server, determining whether to sample the track data generated by the simulation of the server according to the counted data volume, reducing the data volume of the track data sent to the client when the data volume is large, further reducing the data volume refreshed by the client, reducing the blocking condition caused by excessive occupation of the refreshing performance of the client, improving the rendering speed due to the reduction of the data volume needing to be rendered, and ensuring that the rendering speed can keep up with the refreshing speed.
Furthermore, track monitoring is matched with curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring, so that the phenomenon that the distortion of track sampling influences the observation of severe fluctuation of the airplane is avoided.
Furthermore, when a real-time flight simulation experiment is carried out in a multi-client real-time simulation scene, the server simultaneously sends data to each client in a periodic mode, and compared with a traditional method that the client sends a request to the server to acquire the data, the calculation amount of the server is reduced.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic view of a flight simulation system;
FIG. 2 is a schematic view of a simulation process of the flight simulation system;
FIG. 3 is a flow chart of a flight simulation data processing method according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for calculating a sampling interval number in real time according to an embodiment of the present invention;
FIG. 5 is a flow chart of another flight simulation data processing method provided by an embodiment of the invention;
FIG. 6 is a flow chart of another flight simulation data processing method according to an embodiment of the present invention;
fig. 7 is a schematic logical structure diagram of a flight simulation data processing apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a schematic view of a flight simulation system is shown. The flight simulation system comprises a client and a server. The client is a man-machine interaction part of the flight simulation system and is used for parameter setting, preset flight plan setting, simulation monitoring, data playback and the like of flight simulation. The flight simulation model of the server carries out real-time simulation on the flight simulation process, intermediate parameters are settled in real time, real-time response parameter adjustment is carried out, track calculation is processed, calculation results are stored, and the like.
Referring to fig. 2, a simulation process of the flight simulation system is shown. The simulation process comprises the following steps:
s21: and configuring simulation initialization parameters.
The process of configuring simulation initialization parameters is specifically to configure initialization parameters needed by models such as airplane parameters, flight parameters and the like, and the parameter setting module can still be modified on line after the simulation is started.
S22: and setting a flight plan.
Setting a flight plan specifically includes loading global airport and navigation platform information on a map control, and adding route points of the flight plan by clicking airport and navigation platform icons in the map monitoring control.
S23: and (5) simulation monitoring.
The simulation monitoring specifically comprises various modes such as curve monitoring, table monitoring, virtual flight attitude instrument monitoring, map monitoring and the like. The map monitoring can check the position and track information of the airplane, the curve monitoring can check the variation trend of the monitored variable, the table monitoring can display the specific numerical value of the monitored variable, and the virtual flight attitude instrument monitors and utilizes the real-time flight attitude parameters, height and other information of flight simulation to generate a virtual simulation picture of the operator's cab. Flight attitude parameters include, but are not limited to, pitch angle, roll angle, yaw angle, and the like.
S24: and (5) data playback.
The data playback is specifically that after each simulation is finished, a corresponding test record is generated on the simulator. And selecting the corresponding simulation record, and dynamically playing back the simulation.
For the client terminal adopting map monitoring, the number of the track points is gradually increased along with the simulation. If the client side is refreshed quickly, the track needs to be updated again without being updated. Meanwhile, since refresh consumes a lot of performance, other operations will suffer from a stuck phenomenon. In order to solve the problem, the invention provides a flight simulation data processing scheme, firstly, the maximum track point value of a client capable of keeping better real-time performance is measured through experiments, and a track point threshold value is determined according to the maximum track point value, wherein the track point threshold value is not greater than the maximum track point value; and then, counting the data volume of the track data generated by the server simulation of the flight simulation system in real time in the simulation process, and determining whether to sample the track data to be sent to the client according to the counted data volume so as to reduce the data volume of the track data to be sent to the client when the data volume is large, thereby reducing the data volume refreshed by the client. Therefore, no matter how long the simulation time is, the data volume of the track data sent to the client is within the maximum track point value, and the client can keep better real-time performance.
The flight simulation data processing method provided by the embodiment of the invention is described in detail below. Referring to fig. 3, a flight simulation data processing method provided in an embodiment of the present invention is applied to a server of a flight simulation system, and the method may include the steps of:
s31: and counting the data volume of the first track data.
The first trajectory data is trajectory data generated by simulation of a server of the flight simulation system, namely trajectory data to be sent to a client of the flight simulation system.
S32: and judging whether the data volume of the first track data is larger than a preset track point threshold value, if so, executing step S33, and if not, executing step S34.
S33: and sampling the first track data according to the sampling interval number, and sending the second track data to a client of the flight simulation system.
The second track data is track data after sampling, and the data volume of the second track data is not more than a preset track point threshold value.
S34: and sending the first track data to a client of the flight simulation system.
The above describes a process of transmitting trajectory data for one client. When the trajectory data is transmitted to at least two clients, the process of transmitting the trajectory data to each client is performed according to the steps S31 to S34.
According to the flight simulation data processing method provided by the embodiment, the data volume of the track data generated by simulation is counted at the server side, whether the track data generated by the simulation of the server is subjected to sampling processing is determined according to the counted data volume, when the data volume is large, the data volume of the track data sent to the client side is reduced, the data volume refreshed by the client side is reduced, the situation that the client side is stuck due to excessive refreshing performance is reduced, the data volume needing to be rendered is reduced, the rendering speed is improved, and the rendering speed can be kept up with the refreshing speed.
In a specific embodiment, before the step of sampling the first trajectory data according to the number of sampling intervals, a process of calculating the number of sampling intervals in real time is further included, so that on the premise of ensuring better real-time performance of the client, as much trajectory data as possible is sent to the client, and the degree of visual distortion caused by sampling is reduced. Referring to fig. 4, a specific process for calculating the number of sampling intervals in real time according to an embodiment of the present invention may include the following steps:
s41: and calculating to obtain the simulation duration based on the data volume of the first track data and the original time resolution.
By TS0Representing the original temporal resolution; the simulation duration is represented by t, namely the time from the simulation starting moment to the current moment; with N0A data amount representing the first trajectory data; then T is equal to TS0*N0. Acquiring the track data of the airplane from the simulation starting time to the current time from the flight simulation model, wherein the track data of the airplane comprises longitude and latitude information Lon (N) and Lat (N), and N is 0, 1, N0-1，N0Is the data amount of the first track data. The original temporal resolution is a known parameter.
S42: and calculating to obtain the target time resolution based on the simulation duration and the track point number threshold.
By TSRepresenting a target temporal resolution; with NmaxRepresenting a track point threshold; then TS＝t/Nmax。
S43: and rounding up the ratio of the target time resolution to the original time resolution to obtain a sampling interval number.
The number of sampling intervals is expressed by M, then
The sampling of Lon (n) and Lat (n) according to the number of sampling intervals is specifically represented by the following formula:
Lon′(nl)＝Lon(M*nl),nl＝0,1,...,N-1
Lat′(nl)＝Lat(M*nl),nl＝0,1,...,N-1
where N is the sampled data amount, and Lon '(nl) and Lat' (nl) represent track data obtained by sampling the first track data, that is, the second track data; n ═ M × nl; (N-1) M is less than or equal to N0-1。
The sampling interval number can also be obtained by calculation according to the data volume of the first track data and the track point number threshold, and the specific M is [ N ═ N0/Nmax]The ratio of the data volume of the first track data to the track point number threshold is rounded up and then is used as the sampling interval number.
In the process of implementing the invention, the inventor finds that, after the flight simulation is carried out for a long time, if the aircraft fluctuates severely, only the second trajectory data is sent to the client, and the observation of the severe fluctuation of the aircraft can be influenced due to the trajectory distortion caused by the small data volume. In order to solve this problem, an embodiment of the present invention provides another flight simulation data processing method, which is shown in fig. 5 and further includes the steps of:
the method comprises the steps of obtaining variable data needing to be monitored by a client, and sending the variable data needing to be monitored to the client, so that the client can carry out curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring based on the variable data. The curve monitoring, the table monitoring, the virtual flight attitude instrument monitoring and the like are all monitored by adopting original data in a certain time window, so that the multi-dimensional monitoring of simulation parameter variables is realized, and the aim of fine monitoring is fulfilled. If the curve is adopted to monitor the change of the current curve of the observation parameters in several seconds; monitoring and checking real-time numerical values of the parameters by adopting a table; when the aircraft turns, takes off, lands normally or crashes, the flight attitude instrument can also obviously show the dynamic change of the flying attitude of the aircraft. By using the track monitoring and curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring in a matched manner, the phenomenon that the distortion of track sampling influences the observation of severe fluctuation of the airplane is avoided.
It should be noted that the process shown in fig. 5 is also a process for sending data to a client; when data transmission is performed for two or more clients, the process of transmitting data for each client is the same as the process shown in fig. 5.
In the process of implementing the present invention, the inventor also finds that, when a real-time flight simulation test is performed in a scene of real-time simulation of two or more clients, and each client sends a request to a server at regular time to acquire data, the data processing amount of the server is large, which may cause a series of performance problems of the server. In order to solve the technical problem, for the scene of real-time simulation of two or more clients, the server simultaneously sends the track data to be sent to each client in a periodic mode. Meanwhile, the data updating frequency is determined by the server, so that the performance pressure caused by a large number of concurrent data reading and data operation operations of the server is avoided when at least two clients send requests at the same time. In a specific embodiment, the server sends the trace data to be sent to each client simultaneously in a periodic manner based on the socket.
The following illustrates a process in which the server simultaneously sends track data to each client in a periodic manner to reduce the computation load of the server. Multiple clients may monitor the same parameters or different parameters.
The same parameters are monitored for multiple clients. Assume that 5 clients each send a request to the server for data acquisition once at time intervals of 0.2s, and the data amount of each request for data acquisition is 1000 points. Then 5 clients monitor for 1 minute, the request amount is 5 × 60 × (1/0.2) ═ 1500, and the data amount that the server needs to calculate is 1000 × 1500 × (1500000). In order to reduce the influence on the performance of the server caused by the fact that two or more clients send requests to acquire data at regular time, the invention simultaneously pushes data to each client in a periodic mode, the pushing times are changed into 60 times (1/0.2) to 300 times, the data volume is 1000 times 300 times to 300000, and the data volume required to be calculated by the server is reduced.
For the situation that different clients monitor different parameters, because the total number of the parameters that all the clients need to monitor is certain, especially some important parameters are monitored repeatedly in all the clients, such as trajectory data, when at least two clients participate in monitoring, the server pushes data to each client simultaneously in a periodic manner, and the data volume can still be significantly reduced. Suppose a flight simulation model has a total of 20 different parameters to be monitored, 5 customers monitor simultaneously, and 10 different parameters are monitored respectively. Each client sends a request to the back end to acquire data once at intervals of 0.2s, and the amount of data acquired by each request is 10 × 1000 ═ 10000 points. The 5 clients perform monitoring for 1 minute, the request amount is 5 × 60 × (1/0.2) ═ 1500, and the data amount that the server needs to process is 10000 × 1500 × (15000000). In order to reduce the influence on the performance of the server caused by the fact that two or more clients send requests to acquire data at regular time, the invention simultaneously pushes data to each client in a periodic mode, and the maximum data volume is calculated, namely the intersection of 5 client monitoring parameters is all 20 parameters, the pushing times is still 60 x (1/0.2) to 300, and the data volume is reduced to 300 x 20 x 1000 to 6000000 data points.
For simplicity of description, the foregoing method embodiments are described as a series of acts or combination of acts, but it will be appreciated by those skilled in the art that the invention is not limited by the order of acts or combination of acts described.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Referring to fig. 7, a flight simulation data processing apparatus provided in an embodiment of the present invention is applied to a server of a flight simulation system. The device includes: a counting unit 71, a judging unit 72, a sampling transmitting unit 73 and a first transmitting unit 74. Wherein,
the statistical unit 71 is configured to count a data amount of first trajectory data, where the first trajectory data is trajectory data generated by server simulation.
The determining unit 72 is configured to determine whether the data amount of the first track data is greater than a preset track point threshold, if so, execute the sampling sending unit 73, and if not, execute the first sending unit 74.
And the sampling and sending unit 73 is used for sampling the first track data according to the sampling interval number and sending second track data to a client of the flight simulation system, wherein the second track data is the sampled track data, and the data volume of the second track data is not more than a preset track point number threshold value.
A first sending unit 74, configured to send the first trajectory data to the client.
The flight simulation data processing device provided by this embodiment, the data volume of the trajectory data generated by the server simulation is counted at the server side by the counting unit 71, and the judging unit 72 determines whether to sample the trajectory data generated by the server simulation according to the counted data volume, so that when the data volume is large, the data volume of the trajectory data sent to the client is reduced by the sampling sending unit 73, and further the data volume refreshed by the client is reduced, the occurrence of the situation that the client is stuck due to excessive occupation of the refreshing performance of the client is reduced, and the data volume required to be rendered is reduced, so that the rendering speed is increased, and the rendering speed can be kept up with the refreshing speed.
Optionally, the flight simulation data processing apparatus further includes: the device comprises an acquisition unit and a second sending unit.
And the acquisition unit is used for acquiring the variable data to be monitored by the client.
And the second sending unit is used for sending the variable data to be monitored to the client so that the client can perform curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring based on the variable data.
For the case that the number of the clients in the flight simulation system is at least two, the second sending unit of the flight simulation data processing apparatus is specifically configured to send the trajectory data to be sent to each client simultaneously in a periodic manner. In a specific embodiment, the second sending unit is specifically configured to send, to each client, trajectory data to be sent simultaneously in a periodic manner based on a socket.
Optionally, the flight simulation data processing apparatus further includes a sampling interval number calculation unit. The sampling interval number calculation unit includes: the simulation time length calculation subunit, the time resolution calculation subunit and the sampling interval number calculation subunit are connected in sequence.
And the simulation duration calculation subunit is used for calculating the simulation duration based on the data volume and the original time resolution of the first track data.
And the time resolution calculating subunit is used for calculating the target time resolution based on the simulation duration and the track point number threshold.
And the sampling interval number calculating subunit is used for rounding up the ratio of the target time resolution to the original time resolution to obtain the sampling interval number.
In a specific embodiment, the sampling interval number calculation unit is configured to round up a ratio of the data size of the first trajectory data to the trajectory point number threshold to obtain a sampling interval number.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A flight simulation data processing method is applied to a server of a flight simulation system, and comprises the following steps:
counting the data volume of first track data, wherein the first track data are track data generated by the simulation of the server;
judging whether the data volume is larger than a preset track point threshold value or not, if so, sampling the first track data according to sampling intervals, sending second track data to a client of the flight simulation system, wherein the second track data are the sampled track data, the data volume of the second track data is not larger than the preset track point threshold value, and if not, sending the first track data to the client.
2. The method of claim 1, further comprising:
acquiring variable data to be monitored by the client;
and sending the variable data to the client so that the client performs curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring based on the variable data.
3. The method of claim 1, wherein the number of clients is at least two; and simultaneously sending the trajectory data to be sent to each client in a periodic manner.
4. The method according to claim 3, wherein the step of simultaneously sending the trajectory data to be sent to each of the clients in a periodic manner specifically includes:
and simultaneously sending the track data to be sent to each client side in a periodic mode based on a socket.
5. The method according to any one of claims 1 to 4, wherein the calculation process of the sampling interval number comprises:
calculating to obtain simulation duration based on the data volume and the original time resolution of the first track data;
calculating a target time resolution based on the simulation duration and the track point number threshold;
and rounding up the ratio of the target time resolution to the original time resolution to obtain the sampling interval number.
6. The method according to any one of claims 1 to 4, wherein the calculation process of the sampling interval number comprises:
and rounding up the ratio of the data volume of the first track data to the track point threshold value to obtain the sampling interval number.
7. A flight simulation data processing apparatus, applied to a server of a flight simulation system, the apparatus comprising:
the statistical unit is used for counting the data volume of first track data, and the first track data is track data generated by the simulation of the server;
the judging unit is used for judging whether the data volume is larger than a preset track point threshold value or not, if so, the sampling sending unit is executed, and if not, the first sending unit is executed;
the sampling and sending unit is used for sampling the first track data according to the number of sampling intervals and sending second track data to a client of the flight simulation system, wherein the second track data is the sampled track data, and the data volume of the second track data is not more than the threshold of the number of preset track points;
the first sending unit is configured to send the first trajectory data to the client.
8. The apparatus of claim 7, further comprising:
the acquisition unit is used for acquiring variable data to be monitored by the client;
and the second sending unit is used for sending the variable data to the client so that the client can perform curve monitoring, table monitoring and/or virtual flight attitude instrument monitoring based on the variable data.
9. The apparatus of claim 7, wherein the number of clients is at least two;
the second sending unit is specifically configured to:
and simultaneously sending the track data to be sent to each client in a periodic manner.
10. The apparatus according to any one of claims 7 to 9, further comprising a sampling interval number calculation unit, the sampling interval number calculation unit comprising:
the simulation duration calculation subunit is used for calculating and obtaining the simulation duration based on the data volume and the original time resolution of the first track data;
the time resolution calculating subunit is used for calculating the target time resolution based on the simulation duration and the track point number threshold;
and the sampling interval number calculating subunit is used for rounding up the ratio of the target time resolution to the original time resolution to obtain the sampling interval number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911111729.5A CN110909418A (en) | 2019-11-14 | 2019-11-14 | Flight simulation data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911111729.5A CN110909418A (en) | 2019-11-14 | 2019-11-14 | Flight simulation data processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110909418A true CN110909418A (en) | 2020-03-24 |
Family
ID=69817580
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911111729.5A Pending CN110909418A (en) | 2019-11-14 | 2019-11-14 | Flight simulation data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110909418A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706826A (en) * | 2009-06-12 | 2010-05-12 | 深圳市科陆电子科技股份有限公司 | Method and system for realizing terminal track playback in network geographic information system |
| CN102968497A (en) * | 2012-12-04 | 2013-03-13 | 北京世纪高通科技有限公司 | Method and system for dynamically processing data |
| CN104270437A (en) * | 2014-09-25 | 2015-01-07 | 中国科学院大学 | Mass data processing and visualizing system and method of distributed mixed architecture |
| JP2017174230A (en) * | 2016-03-24 | 2017-09-28 | 富士通株式会社 | Trajectory data processing method, trajectory data processing program and trajectory data processing device |
| KR101797207B1 (en) * | 2017-01-24 | 2017-11-13 | (주)터보소프트 | Method of Processing Moving Object Trajectory Data With User Defined Functions |
| CN107664507A (en) * | 2016-07-29 | 2018-02-06 | 中电科海洋信息技术研究院有限公司 | Show the method and server, client of unmanned vehicle track |
| CN108806335A (en) * | 2018-05-29 | 2018-11-13 | 大连海事大学 | A kind of vessel traffic environment reconstructing method based on the tracks AIS big data |
| CN109344426A (en) * | 2018-08-13 | 2019-02-15 | 腾讯大地通途（北京）科技有限公司 | A kind of data processing method, device and server |
| CN109885891A (en) * | 2019-01-24 | 2019-06-14 | 中国科学院合肥物质科学研究院 | A kind of intelligent vehicle GPU accelerates method for planning track parallel |
| US20200018607A1 (en) * | 2018-07-16 | 2020-01-16 | Here Global B.V. | Map matched aggregation for k-anonymity in trajectory data |
-
2019
- 2019-11-14 CN CN201911111729.5A patent/CN110909418A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706826A (en) * | 2009-06-12 | 2010-05-12 | 深圳市科陆电子科技股份有限公司 | Method and system for realizing terminal track playback in network geographic information system |
| CN102968497A (en) * | 2012-12-04 | 2013-03-13 | 北京世纪高通科技有限公司 | Method and system for dynamically processing data |
| CN104270437A (en) * | 2014-09-25 | 2015-01-07 | 中国科学院大学 | Mass data processing and visualizing system and method of distributed mixed architecture |
| JP2017174230A (en) * | 2016-03-24 | 2017-09-28 | 富士通株式会社 | Trajectory data processing method, trajectory data processing program and trajectory data processing device |
| CN107664507A (en) * | 2016-07-29 | 2018-02-06 | 中电科海洋信息技术研究院有限公司 | Show the method and server, client of unmanned vehicle track |
| KR101797207B1 (en) * | 2017-01-24 | 2017-11-13 | (주)터보소프트 | Method of Processing Moving Object Trajectory Data With User Defined Functions |
| CN108806335A (en) * | 2018-05-29 | 2018-11-13 | 大连海事大学 | A kind of vessel traffic environment reconstructing method based on the tracks AIS big data |
| US20200018607A1 (en) * | 2018-07-16 | 2020-01-16 | Here Global B.V. | Map matched aggregation for k-anonymity in trajectory data |
| CN109344426A (en) * | 2018-08-13 | 2019-02-15 | 腾讯大地通途（北京）科技有限公司 | A kind of data processing method, device and server |
| CN109885891A (en) * | 2019-01-24 | 2019-06-14 | 中国科学院合肥物质科学研究院 | A kind of intelligent vehicle GPU accelerates method for planning track parallel |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10748446B1 (en) | Real-time driver observation and progress monitoring | |
| US9536191B1 (en) | Reinforcement learning using confidence scores | |
| JP7357789B2 (en) | Methods, devices, electronic devices, storage media and computer programs for detecting vehicles | |
| US11645518B2 (en) | Multi-agent simulations | |
| US20190279094A1 (en) | Epistemic and Aleatoric Deep Plasticity based on Sound Feedback | |
| EP3869175B1 (en) | Testing method and apparatus for automated driving system, electronic device, storage medium and computer program product | |
| CN108180922B (en) | Navigation time evaluation method, device, equipment and medium | |
| CN108944947A (en) | The prediction technique and device of steer decision | |
| CN114332977A (en) | Key point detection method and device, electronic equipment and storage medium | |
| CN114760585A (en) | Vehicle crowd sensing excitation method, system and equipment | |
| CN108460731A (en) | A method of it eliminating scenery picture in networking flight simulation and shakes | |
| CN110909418A (en) | Flight simulation data processing method and device | |
| CN110342363B (en) | Method and device for testing safety performance of elevator, terminal equipment and storage medium | |
| CN108595095B (en) | Method and device for simulating movement locus of target body based on gesture control | |
| WO2020163230A1 (en) | Systems and methods for item response modelling of digital assessments | |
| CN114429656B (en) | Face recognition equipment control method and device, electronic equipment and medium | |
| CN113780101B (en) | Training method and device of obstacle avoidance model, electronic equipment and storage medium | |
| JP2021156889A (en) | Vehicle body feeling measurement evaluation method, apparatus, electronic device, storage medium, and computer program | |
| CN110033088B (en) | Method and device for estimating GPS data | |
| CN113269301A (en) | Method and system for estimating parameters of multi-target tracking system based on neural network | |
| CN117311562B (en) | Real-time control method and device for visual angle of aviation simulator based on mouse control | |
| CN113807260B (en) | Data processing method and device, electronic equipment and storage medium | |
| CN116466685A (en) | Evaluation method, device, equipment and medium for automatic driving perception algorithm | |
| Doshi | Aircraft position prediction using neural networks | |
| CN116614678A (en) | Video playing method and device based on eyeball tracking and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200324 |