CN110435925B - Performance evaluation platform of airborne equipment for air conflict detection - Google Patents
Performance evaluation platform of airborne equipment for air conflict detection Download PDFInfo
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Abstract
When receiving a performance detection instruction, the performance evaluation platform of the airborne collision detection airborne equipment generates a plurality of airborne collision simulation scenes by combining with a flight track and transmits the simulation scenes to the airborne equipment to be evaluated; receiving a plurality of first detection results obtained by the to-be-evaluated airborne equipment according to a plurality of air conflict simulation scenes, and evaluating the first detection results by combining the air conflict simulation scenes to obtain a detection evaluation report; and when the performance monitoring instruction is received, a plurality of second detection results recorded in the to-be-evaluated airborne equipment are read regularly, a plurality of corresponding real aircraft flight scenes are respectively extracted according to the plurality of second detection results, and the second detection results are evaluated according to the real aircraft flight scenes so as to obtain a monitoring evaluation report. The performance evaluation platform not only can be used for performance detection during initial airworthiness evidence collection of the airborne equipment, but also can be used for performance monitoring of continuous airworthiness capability tracking, and the effectiveness of reliability evaluation of the airborne equipment is improved.
Description
Technical Field
The invention belongs to the technical field of airborne equipment, and particularly relates to a performance evaluation platform of airborne equipment for detecting air collision.
Background
Currently, general aviation is "hot" and "flying" under the strong guidance of national policies, driven by the forward direction of market demand.
And the flight safety is the precondition of fast flying in navigation. The TCAS is mainly used for detecting the air collision of the transport aircraft, and the detection model is mainly aimed at the flight characteristics of the fixed route of the transport aircraft, has higher cost and is not suitable for the actual requirements of the navigation aircraft. In order to solve the problem of lack of safety guarantee means for aerial flight of the navigable aircraft, research institutions and equipment manufacturers are actively researching and developing navigable aerial detection airborne equipment based on ADS-B technology. ADS-B technology is divided into ADS-B OUT, which refers to the ability of an aircraft to broadcast ADS-B data, and ADS-B IN, which refers to the ability of an aircraft to receive other surrounding aircraft ADS-B data. The ADS-B data comprises information such as the position, the speed, the identification code and the like of the aircraft. On the basis of having ADS-B IN capability, the navigation aircraft utilizes ADS-B data to develop the airborne equipment suitable for navigation for the flight characteristics of navigation operation. In addition, the foreign military projects in the unmanned aerial vehicle industry of China also belong to the leading position on the global scale, and the trend of curve overtaking is greatly seen. The existing unmanned aerial vehicle which is rapid in development and wide in application mainly comprises a low-altitude, short-distance and slow-speed flight unmanned aerial vehicle, and the unmanned aerial vehicle is always in the future fused with the unmanned aerial vehicle which is high-altitude, beyond-sight, fast-flight and has the aspects of airspace, operation, management and the like, such as unmanned aerial vehicle logistics and unmanned aerial vehicle. The low-cost overhead collision detection solution based on the ADS-B technology is also suitable for the safety operation guarantee of future unmanned aerial vehicles.
The airborne collision detection airborne equipment based on ADS-B belongs to novel airborne equipment in the aviation industry, and has a wide application prospect, but if the reliability of the airborne equipment is not guaranteed, judgment and operation of pilot navigation can be misled, the autonomous collision avoidance capability of an unmanned aerial vehicle can be influenced, and the aviation and the airborne flight risk of the unmanned aerial vehicle can be increased. The application and popularization of the novel airborne equipment requires a quick and effective evaluation method to evaluate the equipment correctly. The reliability of the airborne equipment, namely the airborne equipment not only meets the initial airworthiness requirement of the civil aviation on the aircraft equipment, but also meets the continuous airworthiness requirement of the civil aviation on the aircraft equipment. The prior art lacks an evaluation platform that can evaluate the reliability of on-board devices.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the performance evaluation platform of the airborne equipment for detecting the air collision, which can be used for performance detection during initial airworthiness evidence collection of the airborne equipment, can also be used for performance monitoring of continuous airworthiness tracking, and improves the reliability evaluation effectiveness of the airborne equipment.
A performance evaluation platform of an airborne collision detection airborne device,
The system comprises a main processor, a network communication module and an interface module; wherein the network communication module and the interface module are respectively connected to the main processor; the interface module is used for realizing communication with the to-be-evaluated airborne equipment; the main processor is configured to store a computer program comprising program instructions, the main processor being configured to invoke the program instructions to perform the method of:
collecting a real flight track of an aircraft;
When a performance detection instruction of a user is received, generating a plurality of air conflict simulation scenes by combining the flight track, and transmitting the plurality of air conflict simulation scenes to the to-be-evaluated airborne equipment;
Receiving a plurality of first detection results obtained by the to-be-evaluated airborne equipment according to a plurality of air conflict simulation scenes, and evaluating the plurality of first detection results by combining the plurality of air conflict simulation scenes to obtain a detection evaluation report;
And when a performance monitoring instruction of a user is received, a plurality of second detection results recorded in the to-be-evaluated airborne equipment are read regularly, a plurality of corresponding real aircraft flight scenes are respectively extracted according to the plurality of second detection results, and evaluation is performed on the plurality of second detection results according to the plurality of real aircraft flight scenes so as to obtain a monitoring evaluation report.
Preferably, the obtaining the real flight trajectory of the aircraft specifically includes:
The following surveillance source data for the aircraft are collected and stored in real time: ADS-B, MLAT and SSR data; and correlating, correcting and normalizing all the monitoring source data to obtain the flight trajectory.
Preferably, the performance detection instructions are issued by the user during an initial airworthiness evidence-taking phase of the on-board device to be evaluated.
Preferably, the generating a plurality of air conflict simulation scenes by combining the flight track specifically includes:
combining a preset air conflict scene script to respectively generate a plurality of air conflict simulation scenes comprising a local flight track and different first aircraft flight tracks;
the first other aircraft flight trajectory is a flight trajectory which conflicts with the local aircraft flight trajectory.
Preferably, the performance monitoring instructions are issued by the user after the on-board device under evaluation has passed the initial seaworthiness.
Preferably, the extracting the corresponding plurality of real aircraft flight scenes according to the plurality of second detection results specifically includes:
acquiring a corresponding local flight track and a second other flight track according to each second detection result respectively, and extracting a corresponding real aircraft flight scene;
The flight track of the aircraft is the flight track of the aircraft corresponding to the to-be-evaluated airborne equipment; the second aircraft flight trajectory is the flight trajectory of the corresponding aircraft in the second detection result.
Preferably, the evaluating the plurality of first detection results in combination with the plurality of air collision simulation scenes to obtain a detection evaluation report, or evaluating the plurality of second detection results according to the plurality of real aircraft flight scenes to obtain a monitoring evaluation report specifically includes:
Defining a first air conflict simulation scene or a real aircraft flight scene as an evaluation scene, defining a local flight track in the evaluation scene as a local track, and defining a first other aircraft flight track or a second flight track in the evaluation scene as other aircraft tracks;
Setting a dangerous area and a non-dangerous area by combining the characteristics of the running area of the aircraft;
Performing an evaluation step: the local track and the other track are aligned in time, and the position points of the local track and the other track, which are closest in space, are calculated respectively; if the two position points fall into the non-dangerous area, generating normal operation information; if the two position points fall into the dangerous area, generating an conflict alarm;
Defining the next air conflict simulation scene or the real aircraft flight scene as an evaluation scene, and re-executing the evaluation step until the last air conflict simulation scene or the real aircraft flight scene is determined;
comparing the operation normal information and conflict alarms corresponding to all the air conflict simulation scenes or the real aircraft flight scenes with the corresponding first detection results or second detection results respectively to obtain a plurality of comparison results;
and counting all comparison results to obtain the detection evaluation report or the monitoring evaluation report.
Preferably, the aligning the local track and the other machine track in time, and calculating the position points of the local track and the other machine track, which are closest to each other in space, specifically includes:
setting a time alignment judgment threshold according to the monitoring source characteristics of the aircraft corresponding to the local track;
Track segments overlapped at time points are selected from the local track and the other track respectively;
Defining one track segment as an active square track;
Aligning the two track segments on a time axis;
Defining a first time point in the active side track as a judging time point;
Executing a judging step: searching a time point aligned with the judging time point in the other track segment, if the alignment is successful, acquiring the position points of the two track segments under the judging time point, calculating the distance between the two position points at the space position, if the minimum distance does not exist, defining the distance as the minimum distance, and if the distance is smaller than the minimum distance, the minimum distance is equal to the distance;
If the alignment fails, circularly defining the next time point in the active side track as a judging time point, and executing the judging step until the last time point in the active side track is selected;
and defining the position point corresponding to the minimum distance in the two track segments as the position point closest to the minimum distance.
Preferably, the detection evaluation report and the monitoring evaluation report each comprise a correct rate, a false alarm rate, a missing alarm rate, a repeated alarm rate and a late alarm rate.
According to the technical scheme, the performance evaluation platform of the airborne collision detection airborne equipment provided by the invention can be used for performance detection during initial airworthiness evidence collection of the airborne equipment, can also be used for performance monitoring of continuous airworthiness capability tracking, and improves the reliability evaluation effectiveness of the airborne equipment.
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. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a block diagram of a performance evaluation platform according to an embodiment of the present invention.
FIG. 2 is a flowchart of performance evaluation platform software execution according to an embodiment of the present invention.
Fig. 3 is a flowchart of a performance evaluation method according to a second embodiment of the present invention.
Fig. 4 is a flow chart of the time alignment method of fig. 3.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, which are not intended to limit the scope of the present application. It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Embodiment one:
a performance evaluation platform for an airborne collision detection airborne device, see figure 1,
The system comprises a main processor, a network communication module and an interface module; wherein the network communication module and the interface module are respectively connected to the main processor; the interface module is used for realizing communication with the to-be-evaluated airborne equipment; the main processor is used for storing a computer program comprising program instructions, the main processor being configured to invoke the program instructions, see fig. 2, for performing the following method:
S1: collecting a real flight track of an aircraft;
Preferably, the obtaining the real flight trajectory of the aircraft specifically includes: the following surveillance source data for the aircraft are collected and stored in real time: ADS-B, MLAT and SSR data; and correlating, correcting and normalizing all the monitored source data to obtain the flight trajectory.
Specifically, step S1 collects ADS-B, MLAT (multipoint positioning) and SSR (secondary radar) data, so as to make up for the data defect brought by the characteristics of a single monitoring source, and step S1 normalizes three monitoring sources by using correlation and error correction, so that a flight track with high precision, high update rate and full coverage is obtained.
S2: when a performance detection instruction of a user is received, generating a plurality of air conflict simulation scenes by combining the flight track, and transmitting the plurality of air conflict simulation scenes to the to-be-evaluated airborne equipment;
Preferably, the performance detection instructions are issued by the user during an initial airworthiness evidence-taking phase of the on-board device to be evaluated. The generating a plurality of air conflict simulation scenes by combining the flight tracks specifically comprises the following steps: combining a preset air conflict scene script to respectively generate a plurality of air conflict simulation scenes comprising a local flight track and different first aircraft flight tracks; the first other aircraft flight trajectory is a flight trajectory which conflicts with the local aircraft flight trajectory.
Specifically, the air collision simulation scenario does not identify the aircraft. Step S2 can utilize the flight track of the aircraft and a preset air conflict scene script to simulate the air conflict scene in batches and rapidly.
S3: receiving a plurality of first detection results obtained by the to-be-evaluated airborne equipment according to a plurality of air conflict simulation scenes, and evaluating the plurality of first detection results by combining the plurality of air conflict simulation scenes to obtain a detection evaluation report;
Specifically, since the function and stability of the airborne equipment to be evaluated need to be tested in detail in the initial airworthiness evidence obtaining stage (i.e. the time when the airborne equipment to be evaluated is first installed on the aircraft), a large amount of air conflict scene data need to be relied on. However, in this case, a sufficient number of air collision scenes cannot be obtained from the actual airspace operation, and the real aircraft cannot be used to intentionally remove the air collision scenes, so that the first detection result of the airborne equipment to be evaluated is evaluated by using the air collision simulation scene, for example, whether the first detection result is correct or not is judged, and the result is counted. The first detection result reflects the operation data of the to-be-evaluated airborne equipment in an air conflict simulation scene.
S4: and when a performance monitoring instruction of a user is received, a plurality of second detection results recorded in the to-be-evaluated airborne equipment are read regularly, a plurality of corresponding real aircraft flight scenes are respectively extracted according to the plurality of second detection results, and the plurality of second detection results are evaluated according to the plurality of real aircraft flight scenes so as to obtain a monitoring evaluation report.
Preferably, the performance monitoring instructions are issued by the user after the on-board device under evaluation has passed the initial seaworthiness. The extracting the corresponding plurality of real aircraft flight scenes according to the plurality of second detection results specifically includes: acquiring a corresponding local flight track and a second other flight track according to each second detection result respectively, and extracting a corresponding real aircraft flight scene; the flight track of the aircraft is the flight track of the aircraft corresponding to the to-be-evaluated airborne equipment; the second aircraft flight trajectory is the flight trajectory of the corresponding aircraft in the second detection result.
Specifically, the second detection result is a detection result of the other machine by the local machine. Step S4 is a monitoring of the continuous navigability of the on-board device under evaluation during use after passing the initial navigability. And S4, periodically reading a second detection result on the to-be-evaluated airborne equipment, extracting a corresponding real aircraft flight scene by combining the read flight track, evaluating the second detection result, for example, judging whether flight data are correct or not, and counting the result.
Specifically, for example, if 100 second detection results recorded in the to-be-evaluated airborne device are read, it is necessary to obtain a local flight track and a second other aircraft flight track corresponding to each second detection result from the 100 second detection results, extract 100 real aircraft flight scenes by combining the 100 local flight tracks and the second other aircraft flight tracks, evaluate the 100 second detection results by using the 100 real aircraft flight scenes, obtain 100 evaluation results, and count the 100 evaluation results. Both performance detection and performance monitoring are based on statistics over a certain number of samples.
The performance evaluation platform may also output a test evaluation report and a monitor evaluation report, such as a PDF document, a word document, or an excel document, and may also print the test evaluation report and the monitor evaluation report.
The performance evaluation platform not only can be used for performance detection during initial airworthiness evidence collection of the airborne equipment, but also can be used for performance monitoring of continuous airworthiness capability tracking, and a user can complete switching of two functions through a flexible man-machine interface according to actual requirements.
Embodiment two:
Embodiment two adds the following on the basis of embodiment one:
The air conflict detection is based on the prediction of the flight trajectories of two aircrafts, so that the prediction of the air conflict is realized in advance, and the pilot is informed in advance. The performance evaluation of the airborne equipment comprises statistics of the accuracy rate, the false alarm rate, the missing alarm rate, the repeated alarm rate and the late alarm rate.
The main factor affecting the detection accuracy of the airborne equipment is the accuracy of the prediction of the flight trajectories of the two aircrafts, and for this purpose, the embodiment provides the following method, which relies on the real flight trajectories of the two aircrafts to determine the collision risk, so as to avoid the error caused by the trajectory prediction.
Referring to fig. 3, the evaluating the plurality of first detection results in combination with the plurality of air collision simulation scenes to obtain a detection evaluation report, or evaluating the plurality of second detection results according to the plurality of real aircraft flight scenes to obtain a monitoring evaluation report specifically includes:
s11: defining a first air conflict simulation scene or a real aircraft flight scene as an evaluation scene, defining a local flight track in the evaluation scene as a local track, and defining a first other aircraft flight track or a second flight track in the evaluation scene as other aircraft tracks;
s12: setting a dangerous area and a non-dangerous area by combining the characteristics of the running area of the aircraft;
Specifically, the operation area includes high altitude, low altitude, etc., and step S12 sets different dangerous areas and non-dangerous areas according to different operation areas of the aircraft.
S13: performing an evaluation step: the local track and the other track are aligned in time, and the position points of the local track and the other track, which are closest in space, are calculated respectively; if the two position points fall into the non-dangerous area, generating normal operation information; if the two position points fall into the dangerous area, a conflict alarm is generated;
S14: defining the next air conflict simulation scene or the real aircraft flight scene as an evaluation scene, and re-executing the evaluation step S13 until the last air conflict simulation scene or the real aircraft flight scene is judged;
S15: comparing the operation normal information and conflict alarms corresponding to all the air conflict simulation scenes or the real aircraft flight scenes with the corresponding first detection results or second detection results respectively to obtain a plurality of comparison results;
S16: and counting all comparison results to obtain the detection evaluation report or the monitoring evaluation report.
Specifically, the method firstly sets proper dangerous area and non-dangerous area according to the characteristics of the running area of the aircraft, then aligns the local track with the other track in time, calculates to obtain the position points of the two tracks with the nearest space distance, and if the two position points fall into the dangerous area, indicates that the collision may exist in the to-be-evaluated airborne equipment. If the two position points fall into the non-dangerous area, the collision of the to-be-evaluated airborne equipment is not shown. And finally, comparing and evaluating the first detection result or the second detection result of the to-be-evaluated airborne equipment. Thus, the method can be used for evaluating by utilizing a large number of input scenes and counting the performance report of the airborne equipment.
For a brief description, the platform provided in the embodiments of the present invention may refer to the corresponding content in the foregoing platform embodiments, where the description of the embodiment is not mentioned.
Embodiment III:
Embodiment III further adds the following on the basis of embodiment II:
Since the different input scenes are not completely synchronized in time, even if there are track break points, it is necessary to use an efficient algorithm to time align the real tracks of two aircraft before calculating the position points with the closest spatial distance, see fig. 4, and the steps of time aligning the local track with the other aircraft track and calculating the position points with the closest spatial distance of the local track and the other aircraft track respectively specifically include:
setting a time alignment judgment threshold according to the monitoring source characteristics of the aircraft corresponding to the local track;
Track segments overlapped at time points are selected from the local track and the other track respectively;
s21: defining one track segment as an active square track;
s22: aligning the two track segments on a time axis;
s23: defining a first time point in the active side track as a judging time point;
S24: executing a judging step: searching a time point aligned with the judging time point in the other track segment, if the alignment is successful, acquiring the position points of the two track segments under the judging time point, calculating the distance between the two position points at the space position, if the minimum distance does not exist, defining the distance as the minimum distance, and if the distance is smaller than the minimum distance, the minimum distance is equal to the distance;
specifically, for example, if the scene includes a flight path a and a flight path B, and if the flight path a is defined as an active side path, then, in the determination, first, a first time point T1 in the flight path a is acquired, a time point aligned with T1 is found in the flight path B, if the alignment fails, the next time point T2 in the active side path is circularly defined as a determination time point, step S24 is repeatedly executed, if the time point T1 is aligned successfully, a distance between two location points is calculated, and if the distance is smaller than the existing minimum distance, the minimum distance is replaced by the distance. Thus, after the time points of the active square trajectories are polled, the position point of the minimum distance between the two flight trajectories can be found.
S25: if the alignment fails, circularly defining the next time point in the active side track as a judging time point, and executing the judging step until the last time point in the active side track is selected;
s26: and defining the position point corresponding to the minimum distance in the two track segments as the position point closest to the minimum distance.
Specifically, the method determines the corresponding time alignment judgment threshold according to the characteristics of various airborne equipment, adopts a mode of actively inquiring by an active party, reduces the traversing times, and improves the calculation efficiency of the position points with the nearest space distance.
For a brief description, the platform provided in the embodiments of the present invention may refer to the corresponding content in the foregoing platform embodiments, where the description of the embodiment is not mentioned.
Embodiment four:
Embodiment III on the basis of the embodiment, the following is added:
The performance evaluation platform also comprises a memory module and a display module; wherein the memory module and the display module are respectively connected to the main processor; the evaluation platform is built by adopting an integrated module, is simple to develop, low in cost and small in size, and is convenient to carry.
Preferably, the memory module comprises a RAM unit and a ROM unit; the RAM unit stores the air conflict scene common script, and the ROM unit stores the air conflict scene temporary script.
Preferably, the network communication module comprises a mobile communication network, reads monitoring source data of the aircraft: ADS-B, MLAT (multipoint positioning) and SSR (secondary radar) data.
Preferably, the performance evaluation platform further comprises an LED lamp module connected with the main processor; the main processor comprises an ARM Core chip and a DSP chip. For example, because the operation amount of the simulation of the air conflict scene is large and the real-time requirement is high, the DSP chip can be specially responsible for the simulation of the air conflict scene, namely, the common script of the air conflict scene and the temporary script of the air conflict scene are respectively read from the RAM and the ROM and are communicated with the ARM Core chip, so that the simulation of the air conflict scene is completed. ARM Core is responsible for three major functions: and the management platform interface is used for managing the DSP to complete simulation of an air conflict scene and performance evaluation.
Preferably, the interface module comprises a USB interface and a serial port, so that data interaction between the evaluation platform and the to-be-evaluated airborne equipment is realized. For example, the input of detection information or flight data of the airborne equipment is realized, and the output of an evaluation report is realized.
Preferably, the LED lamp module includes a first LED lamp, a second LED lamp, and a third LED lamp; the first LED lamp indicates the working state of the performance evaluation platform; for example: yellow represents standby state, green represents working state, and red represents failure. The second LED lamp indicates the receiving state of the monitoring source; i.e. whether a monitoring source is being received. The third LED lamp indicates the output state of a detection evaluation report or a monitoring evaluation report; such as whether a detection assessment report or a monitoring assessment report is being output.
Preferably, the display module includes a touch screen and a screen LCD. The touch screen is used for realizing man-machine interaction, and the screen LCD is used for realizing evaluation system state display.
Preferably, the system further comprises a power module connected with the main processor, wherein the power module comprises a battery power supply submodule and a mains power supply submodule.
For a brief description, the platform provided in the embodiments of the present invention may refer to the corresponding content in the foregoing platform embodiments, where the description of the embodiment is not mentioned.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.
Claims (9)
1. A performance evaluation platform of airborne collision detection equipment is characterized in that,
The system comprises a main processor, a network communication module and an interface module; wherein the network communication module and the interface module are respectively connected to the main processor; the interface module is used for realizing communication with the to-be-evaluated airborne equipment; the main processor is configured to store a computer program comprising program instructions, the main processor being configured to invoke the program instructions to perform the method of:
collecting a real flight track of an aircraft;
when a performance detection instruction of a user is received, generating a plurality of air conflict simulation scenes by combining the flight track, and transmitting the plurality of air conflict simulation scenes to the to-be-evaluated airborne equipment;
receiving a plurality of first detection results obtained by the to-be-evaluated airborne equipment according to a plurality of air conflict simulation scenes, and evaluating the plurality of first detection results by combining the plurality of air conflict simulation scenes to obtain a detection evaluation report;
And when a performance monitoring instruction of a user is received, a plurality of second detection results recorded in the to-be-evaluated airborne equipment are read regularly, a plurality of corresponding real aircraft flight scenes are respectively extracted according to the plurality of second detection results, and evaluation is performed on the plurality of second detection results according to the plurality of real aircraft flight scenes so as to obtain a monitoring evaluation report.
2. The performance evaluation platform of an airborne collision detection airborne device according to claim 1, wherein said acquiring a true flight trajectory of an aircraft specifically comprises:
the following surveillance source data for the aircraft are collected and stored in real time: ADS-B, MLAT and SSR data; and correlating, correcting and normalizing all the monitoring source data to obtain the flight trajectory.
3. The performance evaluation platform of an airborne collision detection airborne device of claim 1, wherein,
The performance detection instruction is sent by a user in an initial airworthiness evidence obtaining stage of the to-be-evaluated airborne equipment.
4. The performance evaluation platform of an air collision detection on-board device according to claim 1, wherein the generating a plurality of air collision simulation scenes in combination with the flight trajectory specifically comprises:
Combining a preset air conflict scene script to respectively generate a plurality of air conflict simulation scenes comprising a local flight track and different first aircraft flight tracks;
the first other aircraft flight trajectory is a flight trajectory which conflicts with the local aircraft flight trajectory.
5. The performance evaluation platform of an airborne collision detection airborne device of claim 1, wherein,
The performance monitoring instruction is sent by a user after the airborne equipment to be evaluated passes through initial navigability.
6. The performance evaluation platform of the airborne collision detection device according to claim 5, wherein the extracting a plurality of corresponding real aircraft flight scenes according to the plurality of second detection results respectively specifically includes:
acquiring a corresponding local flight track and a second other flight track according to each second detection result respectively, and extracting a corresponding real aircraft flight scene;
The flight track of the aircraft is the flight track of the aircraft corresponding to the to-be-evaluated airborne equipment; the second aircraft flight trajectory is the flight trajectory of the corresponding aircraft in the second detection result.
7. The performance evaluation platform of the airborne collision detection device according to claim 4 or 6, wherein the evaluating the plurality of first detection results in combination with the plurality of airborne collision simulation scenarios to obtain a detection evaluation report, or evaluating the plurality of second detection results according to the plurality of real aircraft flight scenarios to obtain a monitoring evaluation report specifically comprises:
Defining a first air conflict simulation scene or a real aircraft flight scene as an evaluation scene, defining a local flight track in the evaluation scene as a local track, and defining a first other aircraft flight track or a second flight track in the evaluation scene as other aircraft tracks;
Setting a dangerous area and a non-dangerous area by combining the characteristics of the running area of the aircraft;
performing an evaluation step: the local track and the other track are aligned in time, and the position points of the local track and the other track, which are closest in space, are calculated respectively; if the two position points fall into the non-dangerous area, generating normal operation information; if the two position points fall into the dangerous area, a conflict alarm is generated;
defining the next air conflict simulation scene or the real aircraft flight scene as an evaluation scene, and re-executing the evaluation step until the last air conflict simulation scene or the real aircraft flight scene is determined;
Comparing the operation normal information and conflict alarms corresponding to all the air conflict simulation scenes or the real aircraft flight scenes with the corresponding first detection results or second detection results respectively to obtain a plurality of comparison results;
and counting all comparison results to obtain the detection evaluation report or the monitoring evaluation report.
8. The performance evaluation platform of the airborne collision detection device according to claim 7, wherein the aligning the local track and the other machine track in time, and calculating the position points of the local track and the other machine track that are closest in space respectively, specifically comprises:
setting a time alignment judgment threshold according to the monitoring source characteristics of the aircraft corresponding to the local track;
Track segments overlapped at time points are selected from the local track and the other track respectively;
Defining one track segment as an active square track;
Aligning the two track segments on a time axis;
Defining a first time point in the active side track as a judging time point;
executing a judging step: searching a time point aligned with the judging time point in the other track segment, if the alignment is successful, acquiring the position points of the two track segments under the judging time point, calculating the distance between the two position points at the space position, if the minimum distance does not exist, defining the distance as the minimum distance, and if the distance is smaller than the minimum distance, the minimum distance is equal to the distance;
If the alignment fails, circularly defining the next time point in the active side track as a judging time point, and executing the judging step until the last time point in the active side track is selected;
and defining the position point corresponding to the minimum distance in the two track segments as the position point closest to the minimum distance.
9. The performance evaluation platform of an airborne collision detection airborne device of claim 1, wherein,
The detection evaluation report and the monitoring evaluation report comprise a correct rate, a false alarm rate, a missing alarm rate, a repeated alarm rate and a late alarm rate.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101110165A (en) * | 2007-08-15 | 2008-01-23 | 民航数据通信有限责任公司 | Data estimation system for ADS-B monitoring technology |
| CN103699713A (en) * | 2013-11-29 | 2014-04-02 | 中国航空无线电电子研究所 | Collision detection method for airplane formation and application of method |
| CN105487409A (en) * | 2016-01-29 | 2016-04-13 | 中国航空无线电电子研究所 | Unmanned plane spatial domain comprehensive flight safety control demonstration and verification platform |
| CN105931497A (en) * | 2016-05-20 | 2016-09-07 | 中国民用航空总局第二研究所 | General aviation air collision detection method, device and general aircraft |
| CN211494512U (en) * | 2019-08-13 | 2020-09-15 | 中国民用航空总局第二研究所 | Performance evaluation platform of airborne collision detection airborne equipment |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US7877197B2 (en) * | 2007-05-15 | 2011-01-25 | The Boeing Company | Systems and methods for real-time conflict-checked, operationally preferred flight trajectory revision recommendations |
| FR2935524B1 (en) * | 2008-08-29 | 2010-10-01 | Thales Sa | DEVICE AND METHOD FOR MONITORING THE LOCATION OF GROUND AIRCRAFT |
-
2019
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101110165A (en) * | 2007-08-15 | 2008-01-23 | 民航数据通信有限责任公司 | Data estimation system for ADS-B monitoring technology |
| CN103699713A (en) * | 2013-11-29 | 2014-04-02 | 中国航空无线电电子研究所 | Collision detection method for airplane formation and application of method |
| CN105487409A (en) * | 2016-01-29 | 2016-04-13 | 中国航空无线电电子研究所 | Unmanned plane spatial domain comprehensive flight safety control demonstration and verification platform |
| CN105931497A (en) * | 2016-05-20 | 2016-09-07 | 中国民用航空总局第二研究所 | General aviation air collision detection method, device and general aircraft |
| CN211494512U (en) * | 2019-08-13 | 2020-09-15 | 中国民用航空总局第二研究所 | Performance evaluation platform of airborne collision detection airborne equipment |
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