CN113177719A - Civil aviation clearance safety risk assessment method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to the technical field of airport clearance management and discloses a civil aviation clearance safety risk assessment method, a device, computer equipment and a storage medium, wherein the clearance safety risk assessment method specifically comprises the following steps: acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface; acquiring a risk influence value and a risk influence weight of each influence factor in the influence factor set; and carrying out weighting processing on the risk influence value based on the risk influence weight to obtain a risk evaluation value of the obstacle target. According to the method and the device, the safety risk of the airport airspace barrier target is evaluated, reference data are provided for subsequent processing of the barrier target by airport staff, the airport staff can process the barrier target according to the safety risk evaluation result, the probability of airport airspace safety accidents is reduced, and the airport airspace safety is improved.
Description
Technical Field
The application relates to the technical field of airport clearance management, in particular to a civil aviation clearance safety risk assessment method, a device, computer equipment and a storage medium.
Background
The airport clearance refers to an airspace in a certain range along a take-off and landing route near an airport, namely, an airspace above two ends and two sides of a runway and specified for the requirements of aircraft taking-off, climbing, landing, gliding and visual hovering. In this area, there cannot be ground obstacles to hinder navigation and flight. The airport clearance protection has very important significance for ensuring the normal and safe operation of the airport.
Disclosure of Invention
Based on the technical problems, the application provides a civil aviation clearance safety risk assessment method, a device, computer equipment and a storage medium, by assessing the safety risk of an airport airspace barrier target, reference data is provided for airport workers to subsequently process the barrier target, so that the airport workers can process the barrier target according to the safety risk assessment result, the occurrence probability of airport airspace safety accidents is reduced, and the airport airspace safety is improved.
In order to solve the technical problems, the technical scheme adopted by the application is as follows:
the civil aviation headroom safety risk assessment method comprises the following steps: acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface; acquiring a risk influence value and a risk influence weight of each influence factor in the influence factor set; and carrying out weighting processing on the risk influence value based on the risk influence weight to obtain a risk evaluation value of the obstacle target.
Further, the method for acquiring the relative distance includes: acquiring first position information of an obstacle target; acquiring second position information of the flight; respectively converting the first position information and the second position information into a first position coordinate and a second position coordinate under a preset coordinate system; a relative distance is obtained based on the first position coordinates and the second position coordinates.
Further, the method for constructing the preset coordinate system comprises the following steps: taking the middle point of the inlet end of the runway on the approach surface as the origin of coordinates; and taking a straight line where the center line of the runway is positioned as an X axis, wherein the X axis takes the coordinate origin point pointing to the exit end of the runway as the positive direction.
Further, the first location information is obtained by radio technology or external radiation radar technology; the second location information is obtained by the flight ASD-B system.
Further, the method for acquiring the risk influence weight includes: constructing a pair comparison matrix based on the influence factor set; acquiring eigenvectors of the paired comparison matrix; and acquiring a risk influence weight based on the feature vector.
In order to solve the technical problem, the present application further discloses a civil aviation headroom safety risk assessment device, including:
the information acquisition module is used for acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface;
the information processing module is used for acquiring risk influence values and risk influence weights of all the influence factors in the influence factor set;
and the risk evaluation module is used for carrying out weighting processing on the risk influence value based on the risk influence weight to obtain a risk evaluation value of the obstacle target.
In order to solve the technical problem, the application further discloses a computer device, which comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor executes the computer program to realize the steps of the civil aviation clearance safety risk assessment method.
In order to solve the technical problem, the application further discloses a readable storage medium, wherein a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the steps of the civil aviation headroom safety risk assessment method are realized.
Compared with the prior art, the beneficial effects of this application are:
according to the method and the device, the risk assessment value of the obstacle target is obtained by collecting and evaluating the relevant information of the obstacle target. Based on the risk assessment value, the safety risk level of the obstacle target can be intelligently analyzed, and a basis is provided for airport staff to subsequently process the obstacle target.
Drawings
The present application will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings, in which:
fig. 1 is a schematic flow chart of a civil aviation clearance safety risk assessment method.
Fig. 2 is a schematic flow chart of a method for obtaining risk impact weight.
Fig. 3 is a flow chart of a method for obtaining the relative distance between the obstacle target and the flight.
Fig. 4 is a plan view of the airport restraining surface.
Fig. 5 is a schematic cross-sectional view of fig. 4.
FIG. 6 is a schematic diagram of a predetermined coordinate system.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings of the embodiments of the present disclosure. It is to be understood that the described embodiments are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the disclosure without any inventive step, are within the scope of protection of the disclosure.
Referring to fig. 1, in the present embodiment, a method for evaluating a civil aviation clearance safety risk includes:
s101, acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface;
the limiting surface is a clearance area for ensuring safe taking off and landing of flights of an airport, and specifically refers to an airspace near the airport in a certain range along a taking off and landing route, namely, an airspace above two ends and two sides of a runway and specified for the requirements of aircraft taking off, climbing, landing, gliding and visual circling. In this area, there cannot be ground obstacles to hinder navigation and flight.
At present, the basis of the clearance requirement of civil airports in China mainly comes from technical standards of civil airport flight areas (MH5001-2006), wherein the barrier limiting surface is completely formulated according to the first volume (airport design and operation) of the international civil aviation organization annex 14. Wherein the requirements for the clearance protection limiting surface are different for different runway types.
For the most common airport flight area grade index I of China civil aviation is 3 or 4, the barrier limiting surface mainly comprises an approach surface, a transition surface, a takeoff climbing surface, an inner horizontal plane and a conical surface. Thus, the planar form of the confining surfaces is shown in FIG. 4, and the longitudinal cross-sectional view is shown in FIG. 5.
S102, acquiring a risk influence value and a risk influence weight of each influence factor in the influence factor set;
wherein, the risk influence value is obtained by evaluating the influence factors in the influence factor set, and the specific evaluation standard is shown in table 1:
table 1 Risk influence value evaluation table
Referring to the risk influence value evaluation table in table 1, it can be seen that after the specific parameters of each influence factor in the influence factor set are obtained, the risk influence value of the influence factor can be obtained according to table 1, for example, if the relative distance between the obstacle target and the flight is 1.7km, the risk influence value r of the influence factor, which is the relative distance, is 3 according to table 1.
Referring to fig. 2, in some embodiments, the method for obtaining the risk impact weight includes:
s201, constructing a pair comparison matrix based on the influence factor set;
wherein, the paired comparison matrix table is shown in table 2:
TABLE 2 paired comparison matrix table
Influencing factor | Relative distance | Relative positional relationship | Speed of rotation | Height |
Relative distance | 1 | 1 | 3 | 3 |
Relative positional relationship | 1 | 1 | 3 | 3 |
Speed of rotation | 1/3 | 1/3 | 1 | 3 |
Height | 1/3 | 1/3 | 1 | 1 |
Referring to the table of the pair comparison matrix in table 2, it can be seen that the pair comparison matrix does not compare all the factors together, but compares two factors with each other, and for this, relative scales are used to reduce the difficulty of comparing the factors with each other, which are different in nature, as much as possible, so as to improve the accuracy. If a certain criterion is met, comparing every two schemes below the certain criterion, and grading according to the importance degree of the schemes.
Thus, the specific meanings of the scales in table 2 are: scale 1, representing the same importance of the two factors compared; scale 3, indicating that the former is slightly more important than the latter in comparison to the two factors; the scale 1/3 shows that if the importance scale of factor A and factor B is 3, then the importance scale of factor B and factor A is 1/3.
For example, in table 2, the scale of the relative distance and the relative position relationship is 1, which indicates that the relative distance and the relative position relationship have the same importance compared with the two influencing factors.
In addition to the scales described above, in a pairwise comparison matrix, the usual scales are: scale 5, indicating that the former is significantly more important than the latter in comparison to the two factors; scale 7, indicating that the former is more important than the latter in comparison to two factors; scale 9, indicates that the former is extremely important compared to the latter.
The pairwise comparison matrix Q may be obtained based on the pairwise comparison matrix table of table 2, which specifically is:
s202, acquiring a feature vector of a paired comparison matrix;
specifically, the eigenvector corresponding to the maximum eigenvalue of the pair-wise comparison matrix Q is calculated and normalized to obtain a matrix T, where the matrix T specifically is:
and S203, acquiring a risk influence weight based on the feature vector.
Specifically, the risk influence weight w is obtained by transposing the matrix T, and the risk influence weight w is:
w=T′=[0.3750 0.3750 0.1250 0.1250]
the weight w specifically means that the risk influence weight of the relative distance between the obstacle target and the flight is 0.375, the risk influence weight of the relative positional relationship between the obstacle target and the bounding surface is 0.375, the risk influence weight of the speed of the obstacle target is 0.1250, and the risk influence weight of the relative height of the obstacle target is 0.1250.
Wherein the sum of the weights w is 1.
S103, weighting the risk influence value based on the risk influence weight to obtain a risk evaluation value of the obstacle target.
Specifically, the risk assessment values are:
where m represents the number of influencing factors in the set of influencing factors. In table 1, the maximum value of the risk influence value is 5, so that the risk evaluation value obtained after the risk influence value of each influence factor is weighted based on the risk influence weight is greater than or equal to 5.
Thus, the risk level of the obstacle target can be classified:
z is less than or equal to 1, and belongs to potential danger;
z is more than 1 and less than or equal to 2, and the method belongs to slight danger;
z is more than 2 and less than or equal to 3, and belongs to moderate risk;
z is more than 3 and less than or equal to 4, and belongs to high risk;
z is more than 4 and less than or equal to 5, which belongs to extreme danger.
Therefore, airport staff can select a processing mode for processing the obstacle target based on the risk level of the obstacle target, and through evaluating the safety risk of the airport airspace obstacle target, reference data are provided for the subsequent processing of the obstacle target by the airport staff, so that the airport staff can process the obstacle target according to the safety risk evaluation result, the occurrence probability of airport airspace safety accidents is reduced, and the airport airspace safety is improved.
Referring to fig. 3, in some embodiments, the method for obtaining the relative distance includes:
s301, acquiring first position information of an obstacle target;
s302, acquiring second position information of the flight;
s303, converting the first position information and the second position information into a first position coordinate and a second position coordinate under a preset coordinate system respectively;
s304, acquiring a relative distance based on the first position coordinate and the second position coordinate.
In this embodiment, for the flying object, the position information is generally longitude and latitude information and altitude information, and for convenience of calculating the relative distance between the obstacle target and the flight, the first position information of the obstacle target and the second position information of the flight are converted into the same preset coordinate system, so as to obtain the coordinate { X ] of the obstacle target in the preset coordinate systemoi,Yoi,ZoiAnd coordinates X of the flight under a preset coordinate systemow,Yow,ZowAnd thus the relative distance d between the obstacle target and the flight:
specifically, the first position information is obtained by radio technology or external radiation radar technology; the second location information is obtained by the flight ASD-B system.
Referring to fig. 6, preferably, the method for constructing the predetermined coordinate system includes:
taking the middle point of the inlet end of the runway on the approach surface as the origin of coordinates;
and taking a straight line where the center line of the runway is positioned as an X axis, wherein the X axis takes the coordinate origin point pointing to the exit end of the runway as the positive direction.
For the preset coordinate system, after the origin and the X axis of the coordinate system are determined, the Y axis and the Z axis can be determined according to the basic principle of the space rectangular coordinate system. The Y axis is the same horizontal plane with the X axis and is vertical to the X axis, namely the entrance end line and the extension line of the runway are used as the Y axis, and the Z axis is arranged vertical to the horizontal plane where the X axis is located.
In theory, the preset coordinate system can be set at will, and the reason for adopting the midpoint of the runway entrance end as the origin of coordinates in the embodiment is mainly to consider that the position is convenient and clear, so that the coordinate system is convenient to construct.
By combining the above embodiments, the present application may also perform security risk assessment on a plurality of obstacle targets, and the assessment method specifically includes:
constructing a set of obstacle objectives, X ═ X1,X2,…,Xm};
Constructing a set of influencing factors, G ═ G1,G2,…,Gj};
Combining with Table 2, GjThe influence factors of (a) constitute a pair comparison matrix Q, and the weight W ═ W of each factor is calculated by the above-mentioned risk influence weight acquisition method1,w2,…,wmIn which wj>0,
For each XiE.g. X, for each influence factor G according to Table 1jEvaluating to obtain R ═ R1,r2,..,rmWeighting the risk influence value based on the risk influence weight to obtain XiRisk assessment value zi:
The danger degree of the obstacle target can be determined according to the risk evaluation value of the target.
When a plurality of obstacle targets exist, safety risk assessment is carried out on the obstacle targets, priority reference for processing the obstacle targets can be provided for airport staff, the airport staff can conveniently carry out priority processing on the obstacle targets with larger potential safety hazards, and the probability of airport airspace safety accidents is reduced.
In some embodiments, the present application further discloses a civil aviation headroom safety risk assessment device, including:
the information acquisition module is used for acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface;
the information processing module is used for acquiring risk influence values and risk influence weights of all the influence factors in the influence factor set;
and the risk evaluation module is used for obtaining a risk evaluation value of the obstacle target based on the risk influence value and the risk influence weight.
In some embodiments, the present application further discloses a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the above-mentioned civil aviation headroom security risk assessment method when executing the computer program.
The computer device may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The memory includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or D interface display memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the storage may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the computer device. Of course, the memory may also include both internal and external storage devices of the computer device. In this embodiment, the memory is commonly used for storing an operating system and various types of application software installed in the computer device, for example, program codes of the civil aviation headroom security risk assessment method, and the like. In addition, the memory may also be used to temporarily store various types of data that have been output or are to be output.
The processor may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor is typically used to control the overall operation of the computer device. In this embodiment, the processor is configured to execute the program code stored in the memory or process data, for example, execute the program code of the civil aviation headroom security risk assessment method.
In some embodiments, the present application further discloses a readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the above-mentioned civil aviation headroom safety risk assessment method.
The above is an embodiment of the present application. The embodiments and specific parameters in the embodiments are only used for clearly illustrating the verification process of the invention and are not used for limiting the patent protection scope of the present application, which is subject to the claims, and all the equivalent structural changes made by using the contents of the specification and the drawings of the present application should be included in the protection scope of the present application.
Claims (8)
1. The civil aviation headroom safety risk assessment method is characterized by comprising the following steps:
acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface;
acquiring a risk influence value and a risk influence weight of each influence factor in the influence factor set;
and carrying out weighting processing on the risk influence value based on the risk influence weight to obtain a risk evaluation value of the obstacle target.
2. The civil aviation headroom safety risk assessment method according to claim 1, wherein the relative distance obtaining method comprises:
acquiring first position information of the obstacle target;
acquiring second position information of the flight;
converting the first position information and the second position information into a first position coordinate and a second position coordinate under a preset coordinate system respectively;
the relative distance is obtained based on the first position coordinate and the second position coordinate.
3. The civil aviation headroom safety risk assessment method according to claim 2, wherein the construction method of the preset coordinate system comprises:
taking the middle point of the inlet end of the runway on the approach surface as the origin of coordinates;
and taking a straight line where the center line of the runway is positioned as an X axis, wherein the X axis takes the coordinate origin point pointing to the outlet end of the runway as a positive direction.
4. The civil aviation headroom safety risk assessment method according to claim 2, characterized in that:
the first location information is obtained by radio technology or external radiation radar technology;
the second location information is obtained by the flight ASD-B system.
5. The civil aviation headroom safety risk assessment method according to claim 1, wherein the method for obtaining the risk influence weight comprises:
constructing a pair comparison matrix based on the influence factor set;
acquiring eigenvectors of the paired comparison matrixes;
and acquiring the risk influence weight based on the feature vector.
6. Civil aviation headroom safety risk assessment device, its characterized in that includes:
the information acquisition module is used for acquiring an influence factor set of the obstacle target, wherein the influence factor set comprises the speed and the relative height of the obstacle target, the relative distance between the obstacle target and the flight and the relative position relation between the obstacle target and the limiting surface;
the information processing module is used for acquiring a risk influence value and a risk influence weight of each influence factor in the influence factor set;
a risk assessment module configured to perform weighting processing on the risk impact value based on the risk impact weight to obtain a risk assessment value of the obstacle target.
7. A computer arrangement comprising a memory in which a computer program is stored and a processor which, when executing the computer program, carries out the steps of the civil aviation headroom security risk assessment method of any one of claims 1 to 7.
8. A readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when being executed by a processor, realizes the steps of the civil aviation headroom security risk assessment method according to any one of claims 1 to 7.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114355875A (en) * | 2021-11-19 | 2022-04-15 | 仓擎智能科技(上海)有限公司 | Aircraft docking method, medium and device based on unmanned guided vehicle |
CN115796603A (en) * | 2023-01-29 | 2023-03-14 | 中国民航大学 | Method and device for evaluating operation influence of civil aviation navigation airport, storage medium and terminal |
CN116576865A (en) * | 2023-07-07 | 2023-08-11 | 民航成都电子技术有限责任公司 | Flight area path planning method, device, equipment and medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105913196A (en) * | 2016-04-29 | 2016-08-31 | 武汉大学 | Navigation channel rectifying social stability risk automatically analyzing method and system |
CN110084464A (en) * | 2019-03-06 | 2019-08-02 | 中国矿业大学 | A kind of smart city fire risk real time evaluating method based on Internet of Things |
CN110084460A (en) * | 2019-01-22 | 2019-08-02 | 中国人民解放军空军工程大学 | A kind of quantization assessment method of obstacle free airspace condition |
WO2019237523A1 (en) * | 2018-06-11 | 2019-12-19 | 平安科技(深圳)有限公司 | Safety risk evaluation method and apparatus, computer device, and storage medium |
US20200143691A1 (en) * | 2018-11-06 | 2020-05-07 | Vianair Inc. | Airspace information modeling and design |
CN111256681A (en) * | 2020-05-07 | 2020-06-09 | 北京航空航天大学 | Unmanned aerial vehicle group path planning method |
CN111487991A (en) * | 2020-04-03 | 2020-08-04 | 中国人民解放军军事科学院国防科技创新研究院 | Unmanned aerial vehicle cluster-oriented security level prediction method and system |
CN111859247A (en) * | 2020-07-20 | 2020-10-30 | 西华大学 | Unmanned aerial vehicle operation risk assessment method based on satellite-based ADS-B data |
CN112464795A (en) * | 2020-11-26 | 2021-03-09 | 中国民航大学 | Airport periphery clearance management method, intelligent terminal and storage medium |
-
2021
- 2021-05-07 CN CN202110495973.7A patent/CN113177719A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105913196A (en) * | 2016-04-29 | 2016-08-31 | 武汉大学 | Navigation channel rectifying social stability risk automatically analyzing method and system |
WO2019237523A1 (en) * | 2018-06-11 | 2019-12-19 | 平安科技(深圳)有限公司 | Safety risk evaluation method and apparatus, computer device, and storage medium |
US20200143691A1 (en) * | 2018-11-06 | 2020-05-07 | Vianair Inc. | Airspace information modeling and design |
CN110084460A (en) * | 2019-01-22 | 2019-08-02 | 中国人民解放军空军工程大学 | A kind of quantization assessment method of obstacle free airspace condition |
CN110084464A (en) * | 2019-03-06 | 2019-08-02 | 中国矿业大学 | A kind of smart city fire risk real time evaluating method based on Internet of Things |
CN111487991A (en) * | 2020-04-03 | 2020-08-04 | 中国人民解放军军事科学院国防科技创新研究院 | Unmanned aerial vehicle cluster-oriented security level prediction method and system |
CN111256681A (en) * | 2020-05-07 | 2020-06-09 | 北京航空航天大学 | Unmanned aerial vehicle group path planning method |
CN111859247A (en) * | 2020-07-20 | 2020-10-30 | 西华大学 | Unmanned aerial vehicle operation risk assessment method based on satellite-based ADS-B data |
CN112464795A (en) * | 2020-11-26 | 2021-03-09 | 中国民航大学 | Airport periphery clearance management method, intelligent terminal and storage medium |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114355875A (en) * | 2021-11-19 | 2022-04-15 | 仓擎智能科技(上海)有限公司 | Aircraft docking method, medium and device based on unmanned guided vehicle |
CN114355875B (en) * | 2021-11-19 | 2024-02-23 | 仓擎智能科技(上海)有限公司 | Unmanned guided vehicle-based aircraft docking method, medium and device |
CN115796603A (en) * | 2023-01-29 | 2023-03-14 | 中国民航大学 | Method and device for evaluating operation influence of civil aviation navigation airport, storage medium and terminal |
CN116576865A (en) * | 2023-07-07 | 2023-08-11 | 民航成都电子技术有限责任公司 | Flight area path planning method, device, equipment and medium |
CN116576865B (en) * | 2023-07-07 | 2023-10-17 | 民航成都电子技术有限责任公司 | Flight area path planning method, device, equipment and medium |
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