CN112614383A - RVSM airspace aircraft fleet height maintenance performance analysis method and device - Google Patents
RVSM airspace aircraft fleet height maintenance performance analysis method and device Download PDFInfo
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- G08G5/0073—Surveillance aids
- G08G5/0082—Surveillance aids for monitoring traffic from a ground station
Abstract
The method and the device for analyzing the height maintenance performance of the RVSM airspace aircraft fleet can research and analyze the overall HKP performance of the aircraft fleet running in the RVSM airspace, thereby finding the characteristics of the overall HKP performance of the aircraft fleet under different running conditions and the deterioration trend in actual running, assisting aviation operators and related departments in monitoring and maintaining the performance of the aircraft. The method comprises the following steps: (1) analyzing the aircraft fleet height maintenance performance; (2) analyzing a scatter diagram of the change of the height maintaining performance of the aviation operator fleet along with time; (3) analyzing a box diagram of the change of the altitude maintenance performance of the aviation operator fleet along with time; (4) analyzing a scatter diagram of the height maintenance performance of the fleet along with the change of a factory serial number; (5) comparing and analyzing the height maintenance performance of the fleet; (6) HKP performance comparative analysis of each aircraft model of different data sources.
Description
Technical Field
The invention relates to the technical field of civil aviation data processing, in particular to a method for analyzing the height retention performance of a RVSM airspace aircraft fleet and a device for analyzing the height retention performance of the RVSM airspace aircraft fleet.
Background
From 1600UTC, 21.11.2007 in coordinated world time, China began to implement metric RVSM operation in space with height layers of 8900 meters (FL291) to 12500 meters (FL411) in Shenyang, Beijing, Shanghai, Guangzhou, Kunming, Wuhan, Lanzhou, Wuluqiqi information areas and Mitsui control areas. In the flight information area, 8900 m (FL291) or more and 12500 m (FL411) are defined as a reduced vertical space (RVSM airspace for short).
According to the requirements of the international civil aviation organization, the countries and regions where RVSM operates are implemented, and RVSM airspace operation is monitored and evaluated regularly; meanwhile, an aircraft operating in the RVSM airspace should meet a certain Height maintaining Performance (HKP) standard, so that the RVSM airspace operation safety is guaranteed.
The international civil aviation organization researches on the aircraft operating in the RVSM airspace to find that the altitude maintenance performance of the aircraft can be gradually deteriorated with the passage of time in the continuous operation of the aircraft, and the normal operation and the airspace safety of the aircraft are influenced. Thus, ICAO requires countries and regions to conduct continuous HKP monitoring of aircraft operating in RVSM airspace to which they are administered, and issues Minimum Monitoring Requirements (MMR). Meanwhile, thirteen regional monitoring organizations are established globally, and monitoring and safety evaluation work is carried out on RVSM airspace aircrafts in the regions controlled by the organizations. From 2008, the minimum monitoring requirements of the RVSM airspace aircrafts in China are published regularly by using the airborne monitoring equipment and combining with the MMR of the ICAO, HKP monitoring is carried out on the aircrafts in China, and the RVSM airspace aircraft in China meets the minimum monitoring requirements of the ICAO.
With the continuous and deep research on the monitoring technology and the general application of the ADS-B technology in the field of air traffic control, China simultaneously starts to utilize the ADS-B data to cooperate with an airborne monitoring mode to carry out HKP monitoring work of the aircraft. The ADS-B monitoring has the advantages of continuous data acquisition, wide aircraft coverage, abundant data volume and the like, so that more detailed and comprehensive analysis and research on the HKP performance of the aircraft can be carried out by utilizing the ADS-B data.
At present, China can use ADS-B data to carry out analysis and research on HKP performance of a single aircraft, and an ADS-B aircraft altitude maintenance monitoring system (AHMS for short) is used to carry out continuous altitude maintenance performance monitoring on the single aircraft running in RVSM airspace in China. The AHMS system has the following functions:
1. monitoring and data analysis of HKP of a single aircraft, and finding the condition that the HKP performance of the single aircraft is unqualified;
2. identifying the performance deterioration trend of a single aircraft through artificial auxiliary judgment, and timely informing an aviation operator of relevant problems to process and solve the problems;
3. periodically releasing an aircraft HKP monitoring result and a report to an aviation operator;
4. and (4) inquiring the HKP analysis result of the aircraft running in the RVSM airspace in China.
The AHMS system is currently mainly developed for HKP performance of a single aircraft. In actual operation, it is found that an aircraft fleet may periodically develop overall maintenance or modification due to maintenance or operation needs. Retrofitting of aircraft altimetry systems, or other equipment and systems associated with their altitude holding capabilities, may have an impact on the overall HKP performance of the entire aircraft model. Meanwhile, the HKP performance of the aircraft is influenced by various aspects such as the operating meteorological environment, airspace, aviation operators, factory time, maintenance conditions and the like, and the performance problem can be more intuitively discovered only by carrying out overall performance analysis on a large number of aircraft in a specified range. Therefore, the existing functions of the AHMS system have been unable to meet the performance analysis requirement, and specifically, the following disadvantages exist:
1. lack of overall HKP performance analysis for aircraft for a given target population;
2. the judgment of the performance deterioration condition of the aircraft cannot be visually given;
3. the HKP performance change condition of the aircraft fleet under the influence of factors such as equipment maintenance, factory time and the like cannot be found.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a RVSM airspace aircraft fleet height maintenance performance analysis method, which can research and analyze the overall HKP performance of the aircraft fleet running in the RVSM airspace, thereby finding the characteristics of the overall HKP performance of the aircraft fleet under different running conditions and the deterioration trend in actual running, assisting aviation operators and related departments to monitor and maintain the performance of the aircraft.
The technical scheme of the invention is as follows: the RVSM airspace aircraft fleet height maintenance performance analysis method comprises the following steps:
(1) analyzing the aircraft fleet height maintenance performance;
(2) analyzing a scatter diagram of the change of the height maintaining performance of the aviation operator fleet along with time;
(3) analyzing a box diagram of the change of the altitude maintenance performance of the aviation operator fleet along with time;
(4) analyzing a scatter diagram of the height maintenance performance of the fleet along with the change of a factory serial number;
(5) comparing and analyzing the height maintenance performance of the fleet;
(6) HKP performance comparative analysis of each aircraft model of different data sources.
The invention aims at different aircraft models, carries out analysis and research on the overall HKP performance under multiple dimensions of different time periods, different aviation operators, different regions belonging to different regions, different factory serial numbers and the like, carries out continuous monitoring on the HKP performance of an aircraft fleet in the RVSM airspace in China, finds the overall HKP performance deterioration trend of the aircraft fleet through the analysis on the performance of the aircraft fleet, carries out revision and update on the minimum monitoring requirement of the aircraft in the RVSM airspace in China in time through the overall HKP performance analysis of the fleet, provides analysis results and decision suggestions for the aircraft operators and relevant supervision departments through the analysis on the overall HKP performance of the fleet, thus carrying out the research and analysis on the overall HKP performance of the aircraft fleet operating in the RVSM airspace, finding the characteristics of the overall HKP performance of the aircraft fleet under different operating conditions and the deterioration trend in actual operation, and assisting aviation operators and related departments in monitoring and maintaining the performance of the aircrafts.
Also provided is an RVSM airspace aircraft fleet height maintenance performance analysis device, comprising: the system comprises an aircraft fleet height retention performance analysis module, an aviation operation fleet height retention performance time-varying scatter diagram analysis module, an aviation operation fleet height retention performance time-varying box line diagram analysis module, a fleet height retention performance time-varying scatter diagram analysis module, a fleet height retention performance comparison analysis module and various aircraft HKP performance comparison analysis modules of different data sources.
Drawings
FIG. 1 is a graphical representation of various aircraft altitude hold performance parameters.
FIG. 2 is a schematic graph of HKP performance over time distribution for an airline operator fleet.
FIG. 3 is a box line schematic of HKP performance over time for an airline operator fleet.
FIG. 4 is a variation analysis of the HKP performance of a fleet of aircraft with the factory serial number.
FIG. 5 is a schematic diagram of HKP performance comparison analysis of different aircraft models.
FIG. 6 is a schematic diagram of comparative analysis of HKP performance of each region monitoring organizer type.
Fig. 7 is a flowchart of a RVSM airspace aircraft fleet altitude maintenance performance analysis method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to make the description of the present disclosure more complete and complete, the following description is given for illustrative purposes with respect to the embodiments and examples of the present invention; it is not intended to be the only form in which the embodiments of the invention may be practiced or utilized. The embodiments are intended to cover the features of the various embodiments as well as the method steps and sequences for constructing and operating the embodiments. However, other embodiments may be utilized to achieve the same or equivalent functions and step sequences.
As shown in fig. 7, the RVSM airspace aircraft fleet altitude maintenance performance analysis method includes the following steps:
(1) analyzing the aircraft fleet height maintenance performance;
(2) analyzing a scatter diagram of the change of the height maintaining performance of the aviation operator fleet along with time;
(3) analyzing a box diagram of the change of the altitude maintenance performance of the aviation operator fleet along with time;
(4) analyzing a scatter diagram of the height maintenance performance of the fleet along with the change of a factory serial number;
(5) comparing and analyzing the height maintenance performance of the fleet;
(6) HKP performance comparative analysis of each aircraft model of different data sources.
The invention aims at different aircraft models, carries out analysis and research on the overall HKP performance under multiple dimensions of different time periods, different aviation operators, different regions belonging to different regions, different factory serial numbers and the like, carries out continuous monitoring on the HKP performance of an aircraft fleet in the RVSM airspace in China, finds the overall HKP performance deterioration trend of the aircraft fleet through the analysis on the performance of the aircraft fleet, carries out revision and update on the minimum monitoring requirement of the aircraft in the RVSM airspace in China in time through the overall HKP performance analysis of the fleet, provides analysis results and decision suggestions for the aircraft operators and relevant supervision departments through the analysis on the overall HKP performance of the fleet, thus carrying out the research and analysis on the overall HKP performance of the aircraft fleet operating in the RVSM airspace, finding the characteristics of the overall HKP performance of the aircraft fleet under different operating conditions and the deterioration trend in actual operation, and assisting aviation operators and related departments in monitoring and maintaining the performance of the aircrafts.
Preferably, in the step (1), the HKP performance of the aircraft is judged through the total vertical deviation TVE, the specified altitude deviation AAD and the altimetry system error ASE, wherein the ASE is a main index for evaluating the HKP capability of the aircraft by international civil aviation, according to the ICAO regulation, the ASE value of a single aircraft cannot be greater than 245 feet, and the aircraft with the ASE value greater than 245 feet is an aircraft with unqualified HKP performance and needs to be inspected and maintained; aircraft ASE values less than 245 feet, greater than 180 feet, indicate inadequate HKP performance and require further attention; obtaining an ASE value of a single aircraft by analyzing and calculating the actual height and the distributed height of the aircraft contained in the ADS-B out data; and analyzing the HKP analysis of the aircraft fleet by using the ASE big data of the single aircraft obtained by resolving, and analyzing the rules and the variation trend of the ASE big data under different dimensions and different selection conditions.
FIG. 1 is a schematic diagram showing relevant parameters of TVE, AAD, ASE and the like, wherein ASE is a main index for evaluating HKP capability of an aircraft by international civil aviation, according to ICAO regulations, the ASE value of a single aircraft cannot be larger than 245 feet (75 meters), and the aircraft with the ASE value larger than 245 feet is an aircraft with unqualified HKP performance and needs to be inspected and maintained; aircraft ASE values less than 245 ft, and greater than 180 ft, indicate inadequate HKP performance and require further attention.
The ASE value of a single aircraft can be obtained by analyzing and calculating the actual height and the distributed height of the aircraft contained in the ADS-B out data. The HKP analysis of the aircraft fleet is to analyze the rule and the variation trend of the ASE data of a single aircraft obtained by calculation under different dimensions and different selection conditions.
Preferably, in the step (2), two reference surfaces of the ADS-B data are WGS84 ellipsoid HAE and average sea level MSL, respectively, ASE values of all aircrafts of a specified model of a specified airline operator based on the two reference surfaces are displayed in a scattered point mode in a tiled mode according to a time dimension, and through the analysis, the influence of the airline operator on the HKP performance of the aircraft model after modifying and maintaining the aircraft model is known, and meanwhile, the trend of the HKP performance change of the aircraft model along with the change of time during the operation is found, and the airline operator is prompted to check and maintain in time.
FIG. 2 is a graphical illustration of the time-distributed scatter of HKP performance for an airline fleet operator. This analysis gives a HKP performance over time for a given airline operator, a given model, and all aircraft for that model over a certain period of time. The data of two different colors in the figure respectively represent the analysis results obtained based on the ADS-B data of different reference surfaces. Two reference surfaces of ADS-B data are WGS84 Ellipsoid (Height Above Ellipsoid, HAE for short) and average Sea Level (Height Above Mean Sea Level, MSL for short). Other analysis results in this patent are also analysis and research based on these two datum plane data.
In the figure, the ASE values of all aircrafts of a specified model of a specified aviation operator are displayed in a scattered mode and are tiled according to a time dimension, and as can be seen from the figure, the HKP performance of the aircrafts on the whole fleet trends in group-wise change along with the time. Through the analysis, the influence of the airplane operator on the HKP performance of the airplane model after the airplane model is modified and maintained can be known. Meanwhile, the trend that the HKP performance of the airplane changes along with time during operation of the airplane can be found, and an aviation operator is prompted to check and maintain the airplane in time.
Preferably, in the step (3), the boxplot is a statistical graph used for displaying a group of data dispersion situation data, and the number of ASE median and the overall distribution situation of the aircraft fleet have certain changes with time, some boxes are distributed in a region with a smaller ASE value, and some boxes are distributed in a region with a larger ASE value, so that the overall HKP performance variation trend of the aircraft fleet can be obtained; and the upper limit and the lower limit of each box body are given, so that the HKP performance overrun condition of the aircraft can be found in time.
Figure 3 gives a boxcar plot of HKP performance of an airline fleet over time. This analysis gives a box plot analysis of the HKP performance of all aircraft over time for a given model of a given airline operator over a certain period of time. The abscissa of the graph is time and the ordinate is ASE value, and a single box gives the HKP distribution of all aircraft of the model at a given time. As can be seen from the graph, the median of ASE of the aircraft fleet and the overall distribution situation have certain changes along with the time change, some boxes are distributed in a region with a small ASE value, and some boxes are distributed in a region with a large ASE value, so that the overall HKP performance change trend of the aircraft fleet can be obtained. The upper limit and the lower limit of each box body are simultaneously given in the figure, and the situation that the HKP performance of the aircraft is over-limited can be timely found.
Preferably, in the step (4), the analysis is performed according to the aircraft lot, the type and the factory serial number.
The HKP performance of an aircraft is strongly correlated with the performance of its onboard altimetry system and associated hardware devices, and different batches of aircraft may use different batches or types of hardware devices, which may result in variations in its altimetry system performance and HKP performance. The aircraft delivery serial number represents aircraft delivery time and batches, and generally, the aircraft with the larger delivery serial number has the later delivery time; the smaller the factory serial number, the earlier the aircraft is factory, which also means the longer its operating time. By analyzing the HKP performance of the aircrafts with different factory serial numbers, the HKP performance change condition can be seen, and the trend of the HKP performance deterioration of the aircrafts in long-time operation can be timely found.
FIG. 4 shows a scatter plot analysis of HKP performance of an aircraft of a given model with a factory serial number. As can be seen from the figure, the HKP performance of the aircraft before the factory serial number of the model 5000 is relatively discrete, and the number of the aircrafts with larger ASE values is more; most of ASE values of the aircraft after the factory serial number 5000 are concentrated in an interval with a small value, and the performance is stable. It can be concluded that the HKP performance of the aircraft before the factory serial number 5000 of the model may have a tendency to deteriorate due to its long operating time; meanwhile, hardware equipment of the aircraft with the model factory serial number of 5000 can be replaced, so that the running performance of the aircraft is improved. Meanwhile, in the analysis, an aviation operator or an aircraft in a country or a region can be specified and analyzed according to needs, and the aircraft with the problem can be positioned and found in more detail.
Preferably, in the step (5), the aircraft height retention performance under different dimensions of different aviation operators, different models, different time periods and the like is contrastively analyzed; each model corresponds to one trunk line, the ASE value statistical distribution condition of all aircrafts of the model is given, in the analysis, a more pertinent analysis result is obtained through the selection of all data to be analyzed, the used data can select an operation time period, an aviation operator, a country or a region to which the data belongs, and the HKP performance comparison result of different aircraft models under certain conditions is obtained.
Fig. 5 shows a comparative analysis box plot of HKP performance for different model aircraft. The abscissa in the figure is the aircraft model, each model corresponds to a box line, and the ASE values of all the aircraft of the model are statistically distributed. In this analysis, a more targeted analysis result can be obtained by selecting all data to be analyzed. For example, the data can be selected from the operation time period, the aviation operator, the country or region, and the like, and the HKP performance comparison result of different aircraft models under certain conditions can be obtained. In addition to the comparative analysis based on different models shown in fig. 5, the comparative analysis of data can be performed for different dimensions such as different aviation operators and different times. When the abscissa is an aviation operator, comparing ASE statistical value box graphs of single model or multiple models of different aviation operators, thereby finding out the performance difference of aircrafts of the same model in the operation of different aviation operators.
When the abscissa is time, the trend of the aircraft fleet of different models or different aviation operators, which changes with the selected time, can be compared by selecting the analysis data.
Preferably, in the step (6), the ASE value distribution of the aircrafts in different regions of the same model is different, and the difference can be influenced by multiple factors of the used monitoring means, the aircraft operation region and meteorological conditions; and replacing the monitoring organizations in different areas with different aviation operators and other dimensions in different time periods to obtain new aircraft model performance comparison analysis results.
Figure 6 shows comparative analysis of mean ASE values of 9 different monitoring organizations, aircraft of multiple models. In the figure, the abscissa is the model, for the same model, circles with different colors on the ordinate represent monitoring results obtained by calculation of different monitoring organizations, and the size of the circle represents the number of aircrafts of a designated model of the used monitoring organization. The ASE average for all aircraft of each model is identified by the horizontal line and the numerical values.
It can be seen from the figure that the ASE value distribution of the aircrafts in different regions of the same model is different, and the difference can be influenced by multiple factors such as the used monitoring means, the aircraft operation region, meteorological conditions and the like.
By combining the comparison and analysis mode and combining actual needs, monitoring organizations in different areas are replaced by other dimensions such as different aviation operators and different time periods, and the new aircraft type performance comparison and analysis result can be obtained.
Correspondingly, the RVSM airspace aircraft fleet height maintenance performance analysis device is also provided, and comprises: the system comprises an aircraft fleet height retention performance analysis module, an aviation operation fleet height retention performance time-varying scatter diagram analysis module, an aviation operation fleet height retention performance time-varying box line diagram analysis module, a fleet height retention performance time-varying scatter diagram analysis module, a fleet height retention performance comparison analysis module and various aircraft HKP performance comparison analysis modules of different data sources.
The invention provides an analysis method for overall height maintenance performance of RVSM airspace aircraft fleet, which has the following advantages on the basis of the existing AHMS system and HKP performance analysis of a single aircraft:
1. through analysis, the trend of the HKP performance of the aircraft fleet changing along with time can be intuitively found, and the overall performance deterioration condition of the fleet can be timely found. The HKP performance analysis of a single aircraft can also find the performance deterioration condition of the aircraft, but the HKP performance analysis is limited, and the overall analysis of the performance of a fleet can more comprehensively find the operation problem and avoid the occurrence of potential safety hazards.
2. By analyzing the change of the HKP of the aircraft type along with the factory serial number, the whole HKP performance of the aircraft type can be found, and the influence of aging and modification of hardware equipment is caused along with the time lapse during operation, so that an aviation operator is prompted to maintain the aircraft in time.
3. In the HKP performance development analysis of the whole fleet under multiple dimensions of different aviation operators, different machine types, different time periods and the like, abnormal values and abnormal conditions in the same dimension comparison can be found, in actual operation, corresponding aircrafts are continuously monitored and concerned, and the problem that RVSM airspace operation safety is possibly influenced is timely found.
4. By comparing aircraft monitoring data provided by monitoring organizations in different regions, differences of results obtained by resolving different monitoring means can be observed, and further analysis and research can be carried out. Meanwhile, abnormal conditions deviating from the mean value can be found in time, and continuous monitoring and attention can be carried out.
5. The minimum monitoring requirement of the RVSM airspace aircraft in China can be made in an auxiliary mode through analyzing the performance of the whole HKP of the fleet, more monitoring and attention can be given to the abnormal aircraft in a targeted mode when the monitoring requirement is made, the minimum monitoring requirement can be properly reduced for the aircraft with better performance correspondingly, and the daily monitoring efficiency is improved.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent variations and modifications made to the above embodiment according to the technical spirit of the present invention still belong to the protection scope of the technical solution of the present invention.
Claims (8)
- The RVSM airspace aircraft fleet height maintenance performance analysis method is characterized by comprising the following steps: which comprises the following steps:(1) analyzing the aircraft fleet height maintenance performance;(2) analyzing a scatter diagram of the change of the height maintaining performance of the aviation operator fleet along with time;(3) analyzing a box diagram of the change of the altitude maintenance performance of the aviation operator fleet along with time;(4) analyzing a scatter diagram of the height maintenance performance of the fleet along with the change of a factory serial number;(5) comparing and analyzing the height maintenance performance of the fleet;(6) HKP performance comparative analysis of each aircraft model of different data sources.
- 2. The RVSM airspace aircraft fleet height maintenance performance analysis method according to claim 1, wherein: in the step (1), the HKP performance of the aircraft is judged through the total vertical deviation TVE, the specified altitude deviation AAD and the altimetry system error ASE, wherein the ASE is a main index for evaluating the HKP capacity of the aircraft by international civil aviation, according to the ICAO regulation, the ASE value of a single aircraft cannot be larger than 245 feet, and the aircraft with the ASE value larger than 245 feet is an aircraft with unqualified HKP performance and needs to be checked and maintained; aircraft ASE values less than 245 feet, greater than 180 feet, indicate inadequate HKP performance and require further attention; obtaining an ASE value of a single aircraft by analyzing and calculating the actual height and the distributed height of the aircraft contained in the ADS-B out data; HKP for aircraft fleetAnd analyzing, namely analyzing the rule and the variation trend of the ASE big data of the single aircraft obtained by calculation under different dimensions and different selection conditions.
- 3. The RVSM airspace aircraft fleet height maintenance performance analysis method according to claim 2, wherein: in the step (2), two reference surfaces of ADS-B data are respectively WGS84 ellipsoid surface HAE and average sea level MSL, ASE values of all aircrafts of a specified model of a specified aviation operator based on the two reference surfaces are displayed in a scattered point mode in a tiled mode according to time dimension, through analysis, the influence of the aviation operator on the HKP performance of the aircraft after modifying and maintaining the model is known, and meanwhile, the trend that the HKP performance of the aircraft changes along with time during operation of the aircraft model is found, and the aviation operator is prompted to check and maintain in time.
- 4. The RVSM airspace aircraft fleet height maintenance performance analysis method according to claim 3, wherein: in the step (3), the box line graph is a statistical graph used for displaying a group of data dispersion situation data, the ASE median and the overall distribution situation of the aircraft fleet have certain changes along with the change of time, some boxes are distributed in a region with a small ASE value, and some boxes are distributed in a region with a large ASE value, so that the overall HKP performance change trend of the aircraft fleet can be obtained; and the upper limit and the lower limit of each box body are given, so that the HKP performance overrun condition of the aircraft can be found in time.
- 5. The RVSM airspace aircraft fleet height maintenance performance analysis method according to claim 4, wherein: in the step (4), the HKP performances of different aircraft batches, types and factory serial numbers are analyzed; by analyzing the HKP performance of the aircrafts with different factory serial numbers, the change condition of the HKP performance of the aircrafts along with the factory serial numbers can be seen, and meanwhile, the trend of the HKP performance deterioration of the aircrafts in long-time operation can be timely found.
- 6. The RVSM airspace aircraft fleet height maintenance performance analysis method according to claim 5, wherein: in the step (5), the height retention performance of the aircraft under different dimensions of different aviation operators, different types of aircraft, different time periods and the like is contrastively analyzed; each model corresponds to one trunk line, the ASE value statistical distribution condition of all aircrafts of the model is given, in the analysis, a more pertinent analysis result is obtained through the selection of all data to be analyzed, the used data can select an operation time period, an aviation operator, a country or a region to which the data belongs, and the HKP performance comparison result of different aircraft models under certain conditions is obtained.
- 7. The RVSM airspace aircraft fleet height maintenance performance analysis method according to claim 6, wherein: in the step (6), the ASE value distribution of the aircrafts in the same model and different regions is different, and the difference can be influenced by multiple factors of the used monitoring means, the aircraft operation region and meteorological conditions; and replacing the monitoring organizations in different areas with different aviation operators and other dimensions in different time periods to obtain new aircraft model performance comparison analysis results.
- The RVSM airspace aircraft fleet height maintenance performance analysis device is characterized in that: it includes: the system comprises an aircraft fleet height retention performance analysis module, an aviation operation fleet height retention performance time-varying scatter diagram analysis module, an aviation operation fleet height retention performance time-varying box line diagram analysis module, a fleet height retention performance time-varying scatter diagram analysis module, a fleet height retention performance comparison analysis module and various aircraft HKP performance comparison analysis modules of different data sources.
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| US6819983B1 (en) * | 2002-12-03 | 2004-11-16 | Rockwell Collins | Synthetic pressure altitude determining system and method with wind correction |
| CN101013529A (en) * | 2007-01-29 | 2007-08-08 | 北京航空航天大学 | Data processing system and method of operation safety for reducing vertical separation space |
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