CN117218903A - Method for evaluating influence of runway entering height of time sequence flight parameter on horizontal drifting distance - Google Patents
Method for evaluating influence of runway entering height of time sequence flight parameter on horizontal drifting distance Download PDFInfo
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Abstract
The invention discloses a method for evaluating the influence of the runway advance height of time sequence flight parameters on a horizontal drifting distance. Aiming at scenes of an aircraft landing stage, acquiring flight data of the aircraft in each stage through a QAR, removing abnormal data of runway entering height and runway head distance in the last approaching stage, acquiring runway entering height and runway leveling distance of the aircraft, drawing a scatter diagram of the runway entering height and the runway leveling distance, analyzing the influence of the runway entering height on the runway leveling distance, constructing a relation model of the runway entering height and the runway leveling distance, calculating runway entering height threshold values through different grade runway lengths, and giving early warning when the runway entering height exceeds the threshold values.
Description
Technical Field
The invention belongs to the field of flight safety prevention and monitoring, and particularly relates to an evaluation method of influence of runway entering height of time sequence flight parameters on a flat-floating distance.
Background
At present, the aviation industry is developed, the safety of monitoring and preventing flight is always the same research main melody, the rushing out of the runway head is an unsafe event with relatively high incidence, the flat drifting distance is the height of the risk of rushing out of the runway head, and the risk factors and the early warning threshold value of rushing out of the runway head can be analyzed by analyzing the influence factors of the flat drifting distance. The relationship between the runway entrance height and the horizontal drifting distance can be evaluated by analyzing the influence of the runway entrance height on the horizontal drifting distance, the threshold value of the runway entrance height can be obtained through the relationship, the influence of the runway entrance height on the runway exit can be emphasized in training, the attention of the pilot on runway entrance height parameters in landing is enhanced, and meanwhile, the occurrence probability of the related flight operation reduction danger is corrected in time.
In view of the fact that the runway entrance height has a certain influence on the horizontal drifting distance and is a parameter which can be monitored in real time, pilots can observe and use the parameter conveniently to achieve the early warning purpose, the invention aims to provide an evaluation analysis method for the influence of the runway entrance height on the horizontal drifting distance based on time sequence flight parameters, the runway entrance height and the horizontal drifting distance are deeply analyzed to obtain a correlation, a threshold is calculated, and the risk of flushing out of the runway when the runway entrance height is overlarge is emphasized during pilot training.
Disclosure of Invention
The invention aims to solve the technical problems in the background technology and aims to provide an evaluation method for the influence of the runway advance height of time sequence flight parameters on the flat-floating distance.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a method of evaluating the effect of runway height on fly-flat distance based on time series flight parameters, the method comprising:
step 1: validity judgment is carried out on the extracted last approach stage data, invalid data are removed, and the availability of the data is ensured;
step 2: constructing a flight data key feature recognition algorithm in a flight landing stage, and calculating the runway entering height and the horizontal drifting distance in a final approach stage;
step 3: drawing a scatter diagram of the runway height and the flat drifting distance, and analyzing the influence and the relation of the runway height on the flat drifting distance;
step 4: and calculating a threshold value according to the relation between the runway advance height and the flat drifting distance and the runway length, and giving an early warning when the runway advance height exceeds the threshold value.
Further, before step S1, the method further comprises:
collecting multiple groups of flight training QAR data, including flight parameter data of the existing transport aircraft, navigation aircraft and simulation aircraft;
and carrying out first preprocessing on a plurality of groups of QAR data, and extracting flight training data on the basis of a flight data time sequence to obtain runway advance height data, runway head distance data and flight phase data of the last approaching stage.
Further, the working principle of the on-board flight parameter recording equipment of the domestic typical navigation aircraft is analyzed, the existing on-board avionics equipment is utilized, the wireless transmission technology is based, low-cost rapid collection is carried out on flight parameter data of the navigation aircraft, efficient organization of flight parameter data of the navigation aircraft is achieved, and multiple groups of flight training QAR data are obtained.
Further, based on the multiple groups of QAR data, according to the technical specifications of the compiled civil aviation flight data, data screening, format conversion, data contraction, data expansion and merging calculation are carried out on the collected QAR data, and runway height data, runway head distance data and flight phase data of the last approach phase are obtained, namely the last approach phase data extracted in the step 1.
Further, in the step 1:
and judging the validity of the parameters for the acquired extracted last approaching stage data according to the following judgment basis: the parameter values obtained are continuous, free of abrupt changes, free of abnormal data, such as negative values or data exceeding a normal range.
Further, in the step 2:
constructing a flight data key feature recognition algorithm at the last approach stage of the flight, and calculating the runway advance height and the drift distance at the last approach stage, wherein the specific algorithm is as follows:
(1) The runway height is calculated, namely the height with the distance from the last approach stage to the runway head of 0, and the formula is as follows:
in the formula, t is the moment, the value range is the time of the landing stage, and FP t The value of the flight phase data recorded at the moment t is 9, the current flight phase is the last approach phase, the DTT value is 0, the distance from the airplane to the runway is 0 at the moment t, the formula records the altitude of the airplane from the ground recorded by the QAR when the distance between the airplane and the runway is 0 at the landing phase;
(2) The fly-flat distance, i.e. the distance to the runway head when the aircraft is grounded, is calculated as follows:
FP t ＝11,FP t-1 ＝9；
in the formula, FP t A value of 11, which represents the moment t when the aircraft just lands, FP t-1 The value of 9 represents that the airplane is in the last approaching stage at the moment t-1 but is not grounded, and the QAR data is read at the moment to obtain the distance to the runway head DTT at the moment t t I.e. the value of the fly distance of the aircraft as it approaches.
Further, in the step 3:
drawing a scatter diagram of the runway height and the flat-floating distance, analyzing the influence and the relation of the runway height on the flat-floating distance, and obtaining the overall linear relation of the runway height and the flat-floating distance based on the scatter diagram to reflect the influence of the runway height on the flat-floating distance: the greater the height of the runway, the greater the fly-flat distance.
Further, in the step 4:
dividing the runway into a plurality of grades according to technical standards of civil airport flight areas of civil aviation bureau, wherein the runway length of each grade is different;
and calculating thresholds for runways of different grades, and giving early warning when the runway entering height exceeds the thresholds according to the relation between the runway entering height and the flat drifting distance and the runway length.
Compared with the prior art, the invention has the advantages that:
the method comprises the steps of data acquisition, data screening, data analysis and model establishment. Aiming at scenes of an aircraft landing stage, acquiring flight data of the aircraft in each stage through a QAR, removing abnormal data of runway entering height and runway head distance in the last approaching stage, acquiring runway entering height and runway leveling distance of the aircraft, drawing a scatter diagram of the runway entering height and the runway leveling distance, analyzing the influence of the runway entering height on the runway leveling distance, constructing a relation model of the runway entering height and the runway leveling distance, calculating runway entering height threshold values through different grade runway lengths, and giving early warning when the runway entering height exceeds the threshold values.
Drawings
FIG. 1 is a main flow chart of a method for evaluating the influence of runway entrance altitude of time sequence flight parameters on a fly-flat distance;
FIG. 2 is a graph showing the influence of runway height on the drift distance.
Detailed Description
The following describes specific embodiments of the present invention with reference to examples:
it should be noted that the structures, proportions, sizes and the like illustrated in the present specification are used for being understood and read by those skilled in the art in combination with the disclosure of the present invention, and are not intended to limit the applicable limitations of the present invention, and any structural modifications, proportional changes or size adjustments should still fall within the scope of the disclosure of the present invention without affecting the efficacy and achievement of the present invention.
Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the invention, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the invention may be practiced.
Example 1:
as shown in fig. 1, a method for evaluating the influence of runway height on a drift distance based on time sequence flight parameters comprises the following steps:
step 1: flight training data is collected, including flight parameter data for existing transport aircraft, navigation aircraft, and simulation aircraft.
Step 2: and processing and sorting a large amount of QAR data, extracting flight training data on the basis of a flight data time sequence, and obtaining the height of the last approach stage of the airplane and the distance data from the airplane to the runway head.
Step 3: and (3) carrying out validity judgment on the extracted last approach stage data, removing invalid data, and ensuring the usability of the data.
Step 4: and designing a flight data key feature recognition algorithm in a flight landing stage, and calculating the runway entering height and the drift distance in the last approach stage.
Step 5: and drawing a scatter diagram of the runway height and the flat drifting distance, and analyzing the influence and the relation of the runway height on the flat drifting distance.
Step 6: and calculating a threshold value according to the relation between the runway advance height and the flat drifting distance and the runway length, and giving an early warning when the runway advance height exceeds the threshold value.
Further, in the step 1:
the working principle of the domestic typical navigation aircraft airborne flight parameter recording equipment is analyzed, the existing airborne navigation electric equipment is utilized, the wireless transmission technology is based, the low-cost rapid collection of navigation aircraft flight parameter data is carried out, and the efficient organization of navigation aircraft flight parameter data is realized.
Further, in the step 2:
on the basis of the mass flight data collected in the step 1, carrying out necessary data screening, format conversion, data contraction, data expansion, merging calculation and the like on the collected flight parameter data according to the compiled technical specification of the civil aviation flight data, obtaining runway height data of the last approaching stage, runway head distance data and flight stage data, designing a flight data warehouse, and realizing efficient organization management of the mass flight data, wherein the method is as follows:
| parameters (parameters) | Meaning of | Marking |
| _ALTITUDE | Height | ALT |
| _FLIGHT_PHASE | Flight phase | FP |
| _DIST_TO_THR | Distance to the runway head | DTT |
Further, in the step 3:
and (3) judging the validity of the parameters of the landing stage height data, the flight stage data and the runway head distance data obtained in the step (2), wherein the judgment basis is as follows: the obtained parameter values are continuous, free of abrupt change, free of abnormal data (such as negative values or data exceeding a normal range)
Further, in the step 4:
designing a flight data key feature recognition algorithm at the last approach stage of the flight, and calculating the runway advance height and the horizontal drifting distance at the last approach stage, wherein the specific algorithm is as follows:
(1) The runway height is calculated, namely the height with the distance from the last approach stage to the runway head of 0, and the formula is as follows:
in the formula, t is the moment, the value range is the time of the landing stage, and FP t The flight phase data recorded at time t has a value of 9, which represents that the current flight phase is the last approach phase, the DTT has a value of 0, which represents that the distance from the aircraft to the runway is 0 at time t, and the formula records what the QAR records the altitude of the aircraft from the ground when the distance between the aircraft and the runway is 0 at the landing phase.
(2) The fly-flat distance, i.e. the distance to the runway head when the aircraft is grounded, is calculated as follows:
FP t ＝11，FP t-1 ＝9；
in the formula, FP t A value of 11, which represents the moment t when the aircraft just lands, FP t-1 The value of 9 represents that the airplane is in the last approaching stage at the moment t-1 but is not grounded, and the QAR data is read at the moment to obtain the distance to the runway head DTT at the moment t t I.e. what the aircraft is flying in the approach.
Further, in the step 5:
a scatter diagram of the runway height and the flat drifting distance is drawn, and the influence and the relation of the runway height on the flat drifting distance are analyzed, and the scatter diagram is specifically shown in fig. 2:
as can be seen from the figure, the runway entrance height and the fly-away distance are generally in a linear relationship, reflecting the effect of the runway entrance height on the fly-away distance: the greater the height of the rough track, the greater the fly-flat distance.
Further, in the step 6:
currently, runways are classified into four classes according to the technical standards of civil airport flight area by civil aviation bureau, and the runway length of each class is as follows:
| runway grade | Length (m) |
| First stage | ＜800 |
| Second stage | 800-1200 |
| Third stage | 1200-1800 |
| Fourth stage | ＞1800 |
And calculating thresholds for runways of different grades, and giving early warning when the runway entering height exceeds the thresholds according to the relation between the runway entering height and the flat drifting distance and the runway length.
While the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes may be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Many other changes and modifications may be made without departing from the spirit and scope of the invention. It is to be understood that the invention is not to be limited to the specific embodiments, but only by the scope of the appended claims.
Claims (8)
1. A method for evaluating the effect of runway height on fly-flat distance based on time series flight parameters, the method comprising:
step 1: validity judgment is carried out on the extracted last approach stage data, invalid data are removed, and the availability of the data is ensured;
step 2: constructing a flight data key feature recognition algorithm in a flight landing stage, and calculating the runway entering height and the horizontal drifting distance in a final approach stage;
step 3: drawing a scatter diagram of the runway height and the flat drifting distance, and analyzing the influence and the relation of the runway height on the flat drifting distance;
step 4: and calculating a threshold value according to the relation between the runway advance height and the flat drifting distance and the runway length, and giving an early warning when the runway advance height exceeds the threshold value.
2. A method of assessing the effect of runway height on fly-flat distance based on time series flight parameters as claimed in claim 1 wherein prior to step S1 the method further comprises:
collecting multiple groups of flight training QAR data, including flight parameter data of the existing transport aircraft, navigation aircraft and simulation aircraft;
and carrying out first preprocessing on a plurality of groups of QAR data, and extracting flight training data on the basis of a flight data time sequence to obtain runway advance height data, runway head distance data and flight phase data of the last approaching stage.
3. The method for evaluating the influence of the runway advance height on the horizontal drifting distance based on the time sequence flight parameters according to claim 2 is characterized in that the working principle of the on-board flight parameter recording equipment of the typical navigation aircraft in China is analyzed, the existing on-board avionics equipment is utilized, the wireless transmission technology is based, the low-cost rapid collection of the navigation aircraft flight parameters is carried out, the efficient organization of the navigation aircraft flight parameter data is realized, and multiple groups of flight training QAR data are obtained.
4. The method for evaluating the influence of runway height on the fly-flat distance based on time sequence flight parameters according to claim 2, wherein on the basis of the plurality of sets of QAR data, data screening, format conversion, data shrinkage, data expansion and merging calculation are performed on the collected QAR data according to the formulated technical specification of civil aviation flight data, and runway height data, runway head distance data and flight phase data of the last approach phase are obtained, namely the last approach phase data extracted in step 1.
5. The method for evaluating the influence of runway height on fly-flat distance according to claim 1, wherein in step 1:
and judging the validity of the parameters for the acquired extracted last approaching stage data according to the following judgment basis: the parameter values obtained are continuous, free of abrupt changes, free of abnormal data, such as negative values or data exceeding a normal range.
6. A method for evaluating the influence of runway height on fly-flat distance based on time series flight parameters according to claim 1, wherein in step 2:
constructing a flight data key feature recognition algorithm at the last approach stage of the flight, and calculating the runway advance height and the drift distance at the last approach stage, wherein the specific algorithm is as follows:
(1) The runway height is calculated, namely the height with the distance from the last approach stage to the runway head of 0, and the formula is as follows:
in the formula, t is the moment, the value range is the time of the landing stage, and FP t The flight phase data recorded at time t is 9, which represents the current flight phase as the last approach phase, and the DTT is 0, which represents the aircraft at time tThe distance to the runway is 0, and the formula records what the QAR records the altitude of the aircraft from the ground when the distance between the aircraft and the runway is 0 in the landing stage;
(2) The fly-flat distance, i.e. the distance to the runway head when the aircraft is grounded, is calculated as follows:
FP t ＝11,FP t-1 ＝9；
in the formula, FP t A value of 11, which represents the moment t when the aircraft just lands, FP t-1 The value of 9 represents that the airplane is in the last approaching stage at the moment t-1 but is not grounded, and the QAR data is read at the moment to obtain the distance to the runway head DTT at the moment t t I.e. the value of the fly distance of the aircraft as it approaches.
7. A method of evaluating the effect of runway height on fly-flat distance based on time series flight parameters according to claim 1 wherein in step 3:
drawing a scatter diagram of the runway height and the flat-floating distance, analyzing the influence and the relation of the runway height on the flat-floating distance, and obtaining the overall linear relation of the runway height and the flat-floating distance based on the scatter diagram to reflect the influence of the runway height on the flat-floating distance: the greater the height of the runway, the greater the fly-flat distance.
8. A method of evaluating the effect of runway height on fly-flat distance based on time series flight parameters according to claim 1 wherein in step 4:
dividing the runway into a plurality of grades according to technical standards of civil airport flight areas of civil aviation bureau, wherein the runway length of each grade is different;
and calculating thresholds for runways of different grades, and giving early warning when the runway entering height exceeds the thresholds according to the relation between the runway entering height and the flat drifting distance and the runway length.
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