CN115545358A - Airport runway airworthiness assessment method and system in ice and snow state and application - Google Patents
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Abstract
The invention belongs to the technical field of airport runway airworthiness data processing, and discloses an airport runway airworthiness evaluation method and system in an ice and snow state and application. The method comprises the following steps: collecting the ice and snow state, the coverage area, the depth, the pavement temperature and the friction coefficient pavement environment change rate in a certain period of time as evaluation indexes; determining the weight of the subjective and objective combined game and determining the combined estimation weight, coupling the two weights to determine the weight of each evaluation index, and quantifying and imaging the evaluation range of each evaluation grade of the seaworthiness of the runway and the evaluation result of an evaluated object to obtain the corresponding relation between the seaworthiness evaluation range and the grade; the method comprises the steps of dividing a runway into N areas, namely N objects according to the busy degree of the airport, constructing a runway airworthiness evaluation system for each area, quantizing the real-time pavement environment by using an improved radar map, and determining the airworthiness grade by combining an airworthiness grade standard value. The invention has the advantages of quick response, environment change, easy implementation and wide application prospect.
Description
Technical Field
The invention belongs to the technical field of airport runway airworthiness data processing, and particularly relates to an airport runway airworthiness evaluation method and system in an ice and snow state and application.
Background
The ice and snow meteorological conditions are main factors influencing the winter operation safety of an airport and causing flight delay. Snowfall, freezing rain, icing and the like can cause the surface condition of the runway to be deteriorated, the aircraft slides out of the runway sometimes, the damage and even casualties of the aircraft are caused, and great challenges are provided for the safe operation of the airport. To ensure aircraft take-off and landing safety, ICAO requires that runway surface conditions be assessed and reported in accordance with the unified Global Reporting Format (GRF) from 11/4/2021. According to a new mode, the data measured by the runway friction coefficient measuring device are only used for daily monitoring of the surface condition of the dry runway and road surface maintenance, and are not used as the identification standard of the seaworthiness of the runway. For a runway polluted by ice and snow covering materials, an airport operator evaluates the seaworthiness of the runway according to the surface conditions of the runway, such as the type, the coverage area, the depth, the temperature and the like of the pollutants on the surface of the runway, determines a runway condition code and provides the runway condition code for a control and aviation information service department.
Aiming at the runway airworthiness assessment problem under the ice and snow state, the currently common assessment methods mainly comprise 2 methods: (1) Establishing a comprehensive evaluation model of the influence of the environmental factors of the pavement on the takeoff of the airplane by using a fuzzy set theory, and scoring and calculating the weight by a decision maker according to a 1~9 scaling method when determining the weight by using an analytic hierarchy process; (2) And calculating the weight of the evaluation index by adopting an objective weighted entropy method, and establishing a runway navigability evaluation model based on an uncertain measure theory.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) The weighting method does not fully utilize the actual numerical value of the index, and the index weight determined by the analytic hierarchy process has subjective one-sidedness; the prediction accuracy of the obtained data information on the runway seaworthiness in the ice and snow state is low.
(2) Although the objective weighting method can objectively reflect the actual numerical information of each evaluation index of the seaworthiness of the runway, when extreme weather suddenly comes, the actual numerical information is suddenly changed, the timeliness is poor and the response is slow depending on the actual numerical evaluation, if subjective experience knowledge is introduced, the objective weighting method timely responds to make up for the influence of the extreme weather on the objective weighting.
The difficulty in solving the above problems and defects is: the assessment method based on subjective and objective weighting, uncertain measure, neural network and the like provides powerful support for the assessment of the seaworthiness, but all the assessment methods belong to numerical quantitative analysis, and the assessment index result and the assessment result of the seaworthiness of the runway can not be displayed vividly and intuitively.
The significance of solving the problems and the defects is as follows: the invention combines the combined weighting method and the improved radar map to carry out comprehensive evaluation on the runway airworthiness, namely, the combined game weight and the combined estimation weight are coupled by using the combined weighting to determine the runway airworthiness evaluation index weight, so as to achieve the purpose of giving consideration to subjective experience knowledge and objective data characteristics, thereby obtaining a runway airworthiness evaluation result which is more consistent with the reality, and the improved radar map is applied to quantize and graph the evaluation range of each evaluation level of the runway airworthiness and the evaluation result of each evaluated object, namely each area, thereby realizing the quantitative and visual display of the runway airworthiness condition.
Disclosure of Invention
In order to overcome the problems in the related art, the disclosed embodiment of the invention provides a method, a system and an application for evaluating seaworthiness of an airport runway in an ice and snow state.
The airport runway airworthiness assessment method under the ice and snow state comprises the following steps:
s1, acquiring a pavement environment change rate including an ice and snow state, a coverage area, a depth, a pavement temperature and a friction coefficient in a certain period of time as an evaluation index through an airport meteorological station and a runway friction test vehicle;
s2, determining subjective and objective combined game weights by using a game theory, determining combined estimation weights by using a moment estimation method, coupling the subjective and objective combined game weights and the combined estimation weights to determine each evaluation index weight, and quantifying and imaging an evaluation range of each evaluation grade of runway navigability and an evaluation result of an evaluated object by using an improved radar map to obtain a corresponding relation between the navigability evaluation range and the grade;
and S3, dividing the runway of the airport into N areas as N objects, constructing a runway airworthiness evaluation system for each area, quantizing the real-time runway surface environment by using an improved radar map, and determining the airworthiness grade by combining an airworthiness grade standard value.
In step S2, determining the subjective and objective combined game weight by using the game theory specifically includes:
(i) Constructing a set of basis weight vectors q k (ii) a Weighting n road surface navigability evaluation indexes of ice and snow state, coverage area, depth, road surface temperature and friction coefficient change rate in unit time by using L kinds of subjective and objective weighting methods to construct a basic weight vector set
Comprises the following steps:
(ii) Constructing a weight vector linear combination q, wherein the linear combination q of the L vectors is as follows:
in the formula (I), the compound is shown in the specification,
in order to combine the coefficients for the game,
transposing the set of basis weight vectors;
(iii) Optimizing game combination coefficients
(ii) a Optimizing L game combination coefficients using a multi-target game set model
Such that q is the same as each
Minimizing the dispersion of (a):
the first derivative of equation (3) is solved to obtain an equivalent linear equation system:
obtaining the optimal game combination coefficient after solving
Comprises the following steps:
(iv) To the optimal game combination coefficient
Carrying out normalization treatment to obtain:
(v) Calculating optimal combined game weights
Comprises the following steps:
in step S2, determining the combined estimation weight by using the moment estimation method specifically includes:
(a) Carrying out subjective evaluation index weighting by using a evaluation principles of ice and snow state, coverage area, depth, road surface temperature and friction coefficient change rate in unit time to obtain a weight set for each subjective weighting by the evaluation principles
：
In the formula (I), the compound is shown in the specification,
the method comprises the following steps that a, a subjective evaluation principle is used for carrying out subjective weighting on evaluation indexes to obtain a weight set, d represents d total evaluation indexes, and j represents one evaluation index of the d evaluation indexes;
(b) Weighting evaluation indexes of ice and snow state, coverage area, depth, road surface temperature and friction coefficient change rate in unit time by using c-a objective weighting methods to obtain objective weight set
：
In the formula (I), the compound is shown in the specification,
a weight set for objectively weighting the evaluation index by using c-a objective evaluation principles, and d represents a total weightD evaluation indexes are provided, and j represents one evaluation index in the d evaluation indexes; c represents that c evaluation principles are shared to carry out weighting on the evaluation indexes, a represents that a subjective evaluation principles are used for carrying out subjective weighting on the evaluation indexes, and c-a represents that c-a objective evaluation principles are used for carrying out objective weighting on the evaluation indexes;
(c) Respectively extracting a and c-a from the overall subjective weight and objective weight, and for each evaluation index
There are c weight indexes, the weight is estimated by the combination of each evaluation index
Satisfying the condition of weighted value among c subjective and objective weights, wherein,
；
(d) According to the evaluation index principle of the moment estimation method, the relative importance degrees of the subjective and objective weights obtained by calculation are different, and the relative importance degrees of the subjective and objective weights are respectively set as
And
the combined optimization model is as follows:
in the formula (I), the compound is shown in the specification,
in order to combine the estimated weights,
in order to be the subjective weight, the user can select,
in order to be the objective weight,
，
(ii) a e is a power number;
(e) C weights are respectively extracted from the subjective and objective weights, and each evaluation index is calculated by a moment estimation method
Subjective weight of
And objective weight
Desired value of (a):
calculating each evaluation index according to the formula
Is the importance coefficient of the subjective and objective weight of
And
：
wherein the content of the first and second substances,
and
evaluating the index for each of the above steps (d)
Relative importance of the subjective and objective weights of (a);
(f) For a plurality of evaluation indexes, d weights are respectively extracted from the subjective and objective weights, and a moment estimation method is adopted to obtain:
in the formula (I), the compound is shown in the specification,
and
the relative importance of subjective and objective weights;
(g) For any one evaluation index
Converting formula (9) to:
wherein the content of the first and second substances,
optimizing a model objective function for the combination in step (d) above;
(h) Solving the equation (13) by using an equal-weight linear weighting method to obtain an optimal combination estimation weight vector:
in step S2, the determining each evaluation index weight by coupling the subjective and objective combined game weights and the combined estimation weights specifically includes:
(A) Combining game weights by optimal
Optimal combination estimation matrix
The weight matrix is constructed as follows:
(B) Calculating the information amount of each weight
In the formula (I), the compound is shown in the specification,
is the standard deviation of the jth weight;
is the mean of the jth weight;
representing a correlation coefficient between the ith weight and the jth weight;
(C) The proportion calculation formula of the optimal combined game weight and the optimal combined estimation weight is as follows:
wherein, therein
Respectively represents the optimal combined game weight,The information quantity of the optimal combination estimation weight;
(D) The final weighted weight calculation formula of the optimal combined game weight and the optimal combined estimation weight is as follows:
wherein the content of the first and second substances,
for the proportion of the optimal combined game weights,
the duty ratio of the weights is estimated for the optimal combination.
In step S2, the quantifying and imaging the evaluation range of each evaluation level of runway navigability and the evaluation result of the evaluated object by using the improved radar map specifically includes:
(I) Making a unit circle, taking the center O of the unit circle as a starting point, and vertically and upwards leading a ray to intersect with the unit circle at a point A;
(II) starting from OA at the central angle
Making a 2 nd ray, intersecting the ray with the unit circle at a point B, and sequentially making 5 line segments with the same number as the evaluation indexes of the ice and snow state, the coverage area, the depth, the road surface temperature and the friction coefficient change rate in unit time according to the principle;
(III) making the central angle according to the above
The angular bisector of (a) is taken as a coordinate axis of the ice and snow state change rate, the coverage change rate, the depth change rate, the road surface temperature change rate and the friction coefficient change rate;
(IV) normalizing data of 5 index values of the nth area and the nth evaluation object of the airport runway by using the center of the unit circle as the origin
One-to-one correspondence is marked on each index coordinate axis and is connected in sequence in a broken line mode
Forming a closed image area by the points to form an improved radar map;
(V) calculating the Radar map area of the evaluation object n
And circumference
：
(VI) calculating the area of the radar map when the normalized data of all the evaluation index values are 1
And circumference
：
(VII) calculating a final integrated evaluation value
：
In step S3, constructing a runway airworthiness assessment system for each area specifically includes:
the method comprises the steps of dividing a runway into N areas, namely N objects, according to the busyness degree of the airport, quantizing and visualizing real-time data by using an improved radar map, calculating a comprehensive evaluation value, and determining a seaworthiness grade according to the corresponding relation between a runway seaworthiness evaluation range and the grade.
Another object of the present invention is to provide an airport runway airworthiness evaluation system under ice and snow conditions, which implements the airport runway airworthiness evaluation method under ice and snow conditions, the airport runway airworthiness evaluation system under ice and snow conditions including:
the system comprises a pavement environment change rate evaluation index acquisition system, an airport weather station and a runway friction test vehicle, wherein the pavement environment change rate including ice and snow states, coverage, depth, pavement temperature and friction coefficient in a certain period of time is acquired as an evaluation index;
the airworthiness evaluation range and grade corresponding relation acquisition module is used for determining the main and objective combination game weight by using a game theory, determining the combination estimation weight by using a moment estimation method, coupling the main and objective combination game weight and the combination estimation weight to determine each evaluation index weight, and quantizing and imaging the evaluation range of each evaluation grade of the airworthiness of the runway and the evaluation result of an evaluated object by using an improved radar map to obtain the corresponding relation between the airworthiness evaluation range and the grade;
the airworthiness grade determining module is used for dividing a runway of an airport into N areas as N objects, constructing a runway airworthiness evaluating system for each area, quantizing a real-time road surface environment by using an improved radar map, and determining an airworthiness grade by combining an airworthiness grade standard value.
Another object of the present invention is to provide a computer apparatus comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to execute the airport runway airworthiness assessment method in the icy or snowy state.
Another object of the present invention is to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the airport runway airworthiness assessment method under ice and snow conditions.
Another objective of the present invention is to provide an information data processing terminal, which is used to provide a user input interface to implement the method for assessing airworthiness of an airport runway in an icy or snowy state when the terminal is executed on an electronic device.
By combining all the technical schemes, the invention has the advantages and positive effects that:
first, aiming at the technical problems existing in the prior art and the difficulty in solving the problems, the technical problems to be solved by the technical scheme of the present invention are closely combined with results, data and the like in the research and development process, and how to solve the technical scheme of the present invention is deeply analyzed in detail, and some creative technical effects brought by the solution of the problems are specifically described as follows:
the invention aims to solve the problems that the airworthiness evaluation index of the airport runway in the existing ice and snow state is not limited to the friction coefficient of the runway surface any more, the airport runway is more diverse and complex, and the existing evaluation method belongs to quantitative analysis and cannot provide powerful support for the airworthiness evaluation; a method and a system for evaluating airworthiness of an airport runway in an ice and snow state are provided by combining a combined empowerment method and an improved radar map method. The method comprises the steps of collecting environmental factors such as the state of ice and snow on the road surface, the coverage area, the depth, the friction coefficient, the temperature and the like in a certain period of time, taking the change rate of the road surface environment in unit time as a main index for evaluating the seaworthiness of the runway, dividing the runway into N areas according to the busy degree of the airport, and constructing a runway seaworthiness evaluation system for each area. Determining subjective and objective combined game weights by using a game theory, determining combined estimation weights by using a moment estimation method, coupling the subjective and objective combined game weights and the moment estimation method to determine evaluation index weights, and quantifying and imaging an evaluation range of each evaluation grade of runway navigability and an evaluation result of an evaluated object by using an improved radar map. The invention has the advantages of fast response, environment change, easy implementation and the like, and has better application prospect.
Secondly, regarding the technical solution as a whole or from the perspective of products, the technical effects and advantages of the technical solution to be protected by the present invention are specifically described as follows:
the invention provides a method for evaluating seaworthiness of an airport runway in an ice and snow state, which evaluates the seaworthiness of the runway by combining empowerment and an improved radar map, wherein (1) the wider the coverage of environmental data of the runway surface, the stronger the evaluation capability of adapting to various extreme environments; (2) The required data of the pavement temperature, the coverage area, the depth, the friction coefficient, the ice and snow state and the like can be obtained by an airport weather station, airborne equipment and a friction resistance test vehicle, and the method is easy to implement; (3) In the evaluation process, the airport is not stopped, the normal takeoff of the airplane is influenced, and the operation guarantee of the airport is strong; (4) And the airport can quickly respond according to the evaluation result to determine whether to stop the aircraft, and accordingly takes deicing measures to ensure stable seaworthiness of the runway.
Third, as an inventive supplementary proof of the claims of the present invention, there are also presented several important aspects:
(1) The airport can replace the original manual runway airworthiness evaluation system converted according to the technical scheme, so that the personnel cost is greatly reduced.
(2) At home and abroad, no complete intelligent system exists for evaluating the seaworthiness of the runway, the seaworthiness is evaluated by manually collecting the surface condition of the runway and calculating, and the invention fills the blank in the field.
(3) The weight ratio of each evaluation index determined by the conventional combined weighting model cannot be suitable for airport runway airworthiness evaluation, but the combined weighting method model provided by the invention can effectively determine the weight ratio of each evaluation index by combining subjective and objective weighting according to various conditions on the surface of the airport runway.
(4) The result is over objective and ignores the subjective initiative of people only by weighting evaluation according to objective data, but the evaluation result is not supported by data and has low reliability by weighting evaluation according to subjective experience. The method provided by the invention effectively solves the technical prejudice by establishing a combined weighting model by combining subjective and objective weighting and utilizing an improved radar map imaging evaluation result.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure;
fig. 1 is a flowchart of a method for assessing seaworthiness of an airport runway under ice and snow conditions according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an airport runway airworthiness assessment method in an ice and snow state according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a seaworthiness evaluation system for an airport runway under ice and snow conditions according to an embodiment of the present invention;
FIG. 4 is a graph comparing experiments performed on 6 runway sections according to the present invention and the prior art;
in the figure: 1. a pavement environment change rate evaluation index acquisition system; 2. a seaworthiness evaluation range and grade corresponding relation obtaining module; 3. and the airworthiness grade determining module.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed as broadly as the present invention is capable of modification in various respects, all without departing from the spirit and scope of the present invention.
1. Illustrative examples are illustrated:
example 1
As shown in fig. 1, an embodiment of the present invention provides a method for evaluating seaworthiness of an airport runway in an ice and snow state, including the following steps:
s101, acquiring a pavement environment change rate including an ice and snow state, a coverage area, a depth, a pavement temperature and a friction coefficient in a certain period of time as an evaluation index through an airport meteorological station and a runway friction test vehicle;
s102, determining subjective and objective combined game weights by using a game theory, determining combined estimation weights by using a moment estimation method, coupling the subjective and objective combined game weights and the moment estimation method to determine evaluation index weights, and quantifying and imaging evaluation ranges of evaluation levels of runway navigability and evaluation results of evaluated objects by using an improved radar map to obtain a corresponding relation between the navigability evaluation range and the levels;
s103, dividing the runway into N areas, namely N objects, according to the busyness degree of the airport, constructing a runway airworthiness evaluation system for each area, quantizing the real-time pavement environment by using an improved radar map, and determining the airworthiness grade by combining an airworthiness grade standard value.
The airport runway airworthiness assessment method provided by the invention has the advantages of quick response, environment change, easiness in implementation and the like, and has a good application prospect.
Example 2
As shown in fig. 2, an airport runway airworthiness assessment method provided in an embodiment of the present invention in an ice and snow state specifically includes the following steps:
(1) Collecting the change rate of the pavement environment such as the ice and snow state, the coverage area, the depth, the pavement temperature, the friction coefficient and the like in a certain period of time as evaluation indexes through an airport meteorological station and a runway friction test vehicle;
(2) Determining subjective and objective combined game weights by using game theory, determining combined estimation weights by using a moment estimation method, and coupling the two to determine each evaluation index weight;
(3) The improved radar map is applied to quantify and graph the evaluation range of each evaluation grade of the runway seaworthiness and the evaluation result of an evaluated object, and the corresponding relation between the seaworthiness evaluation range and the grade is obtained;
(4) Dividing the runway into N areas, namely N objects according to the busyness degree of the airport, constructing a runway airworthiness evaluation system for each area, and quantifying and visualizing the real-time data by using an improved radar map to evaluate the airworthiness of the runway.
Example 3
Based on the airport runway airworthiness assessment method under the ice and snow state described in embodiment 2, further, in the step (2), the method for determining the subjective and objective combination game weight by the game theory specifically comprises the following steps:
(i) Constructing a set of basis weight vectors q k (ii) a Utilizing L kinds of main and objective weighting methods to weight n road surface navigability evaluation indexes of ice and snow states, coverage areas, depths, road surface temperatures and friction coefficient change rates in unit time, wherein a constructed basic weight vector set is as follows:
(ii) Constructing a weight vector linear combination q, and obtaining the linear combination of L vectors as follows:
in the formula (I), the compound is shown in the specification,
the game combination coefficient;
is a transpose of the set of basis weight vectors.
(iii) Optimizing game combination coefficients
(ii) a Optimizing L game combination coefficients using a multi-target game set model
Such that q is the same as each
Minimizing the dispersion of (a):
the first derivative of equation (3) is calculated to obtain the equivalent linear equation set as:
obtaining the optimal game combination coefficient after solving
；
(iv) Carrying out normalization processing on the optimal game combination coefficient;
(v) Calculating the optimal combined game weight;
example 4
Based on the airport runway airworthiness assessment method under the ice and snow state described in embodiment 2, further, in step (2), determining the combined estimation weight by using a moment estimation method, that is, determining the subjective and objective combined estimation weight by using a moment estimation method specifically includes:
(a) Subjective evaluation index weighting is carried out on a evaluation principles such as the ice and snow state, the coverage area, the depth, the road surface temperature, the friction coefficient change rate and the like in unit time, and a weight set of each subjective weighting through the evaluation principles can be obtained:
in the formula (I), the compound is shown in the specification,
a weight set which is used for subjectively weighting the evaluation index by using a subjective evaluation principles; in the formula, d represents d evaluation indexes in total, and j represents one evaluation index of the d evaluation indexes;
(b) In order to obtain an objective weight set, evaluation indexes of ice and snow states, coverage ranges, depths, road surface temperatures and friction coefficient change rates in unit time are weighted by using c-a objective weighting methods to obtain the objective weight set:
(c) Assuming that a and c-a are extracted from the overall subjective weight and objective weight, respectively, for each evaluation index
There are c weight indexes, the weight is estimated with respect to the combination of each evaluation index
Then need to satisfy
And c subjective-objective weights, the smaller the weighting value, the better.
(d) According to the evaluation index principle of the moment estimation method, the relative importance degrees of the subjective and objective weights obtained by calculation are different, and the relative importance degrees of the subjective and objective weights are respectively set as
And
the combined optimization model is as follows:
in the formula (I), the compound is shown in the specification,
in order to combine the estimated weights,
in order to be the subjective weight, the weight of the object,
in order to be the objective weight,
，
(ii) a e is a power number;
(e) C weights are respectively extracted from the subjective and objective weights, and each evaluation index is calculated by a moment estimation method
Subjective weight of
And objective weight
Desired value of (a):
according to the above formulaEach evaluation index
Is the importance coefficient of the subjective and objective weight
And
：
wherein the content of the first and second substances,
and
evaluating the index for each of the above steps (d)
Relative importance of the subjective and objective weights of (a);
(f) For a plurality of evaluation indexes, d weights are respectively extracted from the subjective and objective weights, and a moment estimation method is adopted to obtain:
in the formula (I), the compound is shown in the specification,
and
the relative importance of subjective and objective weights;
(g) For any one evaluation index
，
The smaller the better, the formula (9) is converted into:
wherein the content of the first and second substances,
optimizing a model objective function for the combination in step (d) above;
(h) Solving equation (13) by using an equal-weight linear weighting method to obtain an optimal combination estimation weight vector:
solving a formula (14) by using an equal-weight linear weighting method, converting multiple targets in the combined optimization model into a single target, and simplifying the solving process; the optimal combination estimation weight vector is obtained by equation (14).
Example 5
Based on the method for assessing airworthiness of the airport runway under the ice and snow state described in embodiment 2, further, in the step (2), the two methods are coupled to determine the weights of the assessment indexes, that is, the method for determining the optimal combination weight by coupling the two methods specifically includes:
(A) Combining game weights by optimal
Optimal combination estimation matrix
The weight matrix is constructed as follows:
（B）calculating the amount of information for each weight
In the formula (I), the compound is shown in the specification,
is the standard deviation of the jth weight;
is the mean of the jth weight;
representing a correlation coefficient between the ith weight and the jth weight;
(C) The weight ratios are as follows:
wherein, the formula (17) is a proportion calculation formula of the optimal combination game weight and the optimal combination estimation weight, wherein
、
Respectively representing the information content of the optimal combined game weight and the optimal combined estimation weight;
(D) Optimal combination weighting:
wherein, the formula (18) is a final weighting weight calculation formula of the two combinations in the optimal combined game weight and the optimal combined estimation weight,
for the proportion of the optimal combined game weights,
the ratio of the weights is estimated for the optimal combination.
Example 6
Based on the airport runway airworthiness assessment method under the ice and snow state described in embodiment 2, further, in step (3), the method for quantifying and imaging the assessment range of each assessment level of runway airworthiness and the assessment result of the assessed object by using the improved radar map specifically comprises:
(I) Making a unit circle, and vertically and upwards leading out a ray by taking the center O of the unit circle as a starting point to intersect with the unit circle at the point A.
(II) starting from OA at the central angle
Making a point B where the 2 nd ray intersects with the unit circle, and sequentially making 5 line segments which are equal to the evaluation indexes of the ice and snow state, the coverage area, the depth, the road surface temperature and the friction coefficient change rate in unit time according to the principle;
(III) making the central angle according to the above
The angular bisector of (a) is taken as a coordinate axis of the ice and snow state change rate, the coverage change rate, the depth change rate, the road surface temperature change rate and the friction coefficient change rate;
(IV) normalizing data of 5 index values of the nth area and the nth evaluation object of the airport runway by using the center of the unit circle as the origin
One-to-one correspondence is marked on each index coordinate axis and is connected in sequence in a broken line mode
The points form a closed image area, namely a radar map is formed;
(V) calculating the Radar map area of the evaluation object n
And circumference
：
(VI) calculating the area of the radar map when the normalized data of all the evaluation index values are 1
And circumference
：
(VII) calculating the final composite evaluation value
：
Example 7
Based on the airport runway airworthiness assessment method in the ice and snow state described in embodiment 2, further, in the step (4), the method for constructing a runway airworthiness assessment system for each area, that is, each assessment object specifically includes:
dividing the runway into N areas according to the busyness degree of the airport, namely N objects, constructing a runway airworthiness evaluation system for each area, quantizing and visualizing real-time data by using an improved radar map, calculating a comprehensive evaluation value, and determining an airworthiness grade according to the corresponding relation between a runway airworthiness evaluation range and the grade.
Example 8
As shown in fig. 3, an embodiment of the present invention provides an airport runway airworthiness assessment system under ice and snow conditions,
the method comprises the following steps:
the system comprises a pavement environment change rate evaluation index acquisition system 1, a data acquisition and processing system and a data processing system, wherein the pavement environment change rate evaluation index acquisition system 1 is used for acquiring the pavement environment change rates such as ice and snow states, coverage areas, depths, pavement temperatures, friction coefficients and the like in a certain period of time through an airport meteorological station and a runway friction resistance test vehicle as evaluation indexes;
the navigability evaluation range and grade corresponding relation acquisition module 2 is used for determining the main and objective combination game weights by using a game theory, determining the combined evaluation weights by using a moment estimation method, coupling the main and objective combination game weights and the moment estimation method to determine the evaluation index weights, and quantifying and imaging the evaluation ranges of the various evaluation grades of the navigability of the runway and the evaluation results of the evaluated objects by using an improved radar map to obtain the navigability evaluation range and grade corresponding relation;
and the navigability grade determining module 3 is used for dividing the runway into N areas, namely N objects according to the busy degree of the airport, constructing a runway navigability evaluating system for each area, quantizing the real-time road surface environment by using an improved radar map, and determining the navigability grade by combining with a navigability grade standard value.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
For the information interaction, execution process and other contents between the above-mentioned devices/units, because the embodiments of the method of the present invention are based on the same concept, the specific functions and technical effects thereof can be referred to the method embodiments specifically, and are not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present invention. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
2. The application example is as follows:
application example
An embodiment of the present invention further provides a computer device, where the computer device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor implementing the steps of any of the various method embodiments described above when executing the computer program.
Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in the above method embodiments may be implemented.
The embodiment of the invention also provides an information data processing terminal, which is used for providing a user input interface to implement the steps in the above method embodiments when the information data processing terminal is executed on an electronic device, and forming a complete evaluation system.
The embodiment of the present invention further provides a server, where the server is configured to provide a user input interface to implement the steps in the above method embodiments when implemented on an electronic device.
Embodiments of the present invention provide a computer program product, which, when running on an electronic device, enables the electronic device to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may be implemented by a computer program, which may be stored in a computer-readable storage medium and used for instructing related hardware to implement the steps of the embodiments of the method according to the embodiments of the present invention. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer memory, read-only memory (ROM), random Access Memory (RAM), electrical carrier signal, telecommunications signal, and software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc.
3. Evidence of the relevant effects of the examples:
as shown in fig. 4, comparing the present invention with the prior art by performing experiments on 6 runway areas, it can be seen that the airworthiness assessment method provided by the present invention is mistaken for the actual value only in the 6 th runway area, but the airworthiness level of 4-5 areas is mistakenly reported only by using subjective weighting or objective weighting.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A method for evaluating seaworthiness of an airport runway under a snow and ice state is characterized by comprising the following steps:
s1, acquiring a pavement environment change rate including an ice and snow state, a coverage area, a depth, a pavement temperature and a friction coefficient in a certain period of time as an evaluation index through an airport meteorological station and a runway friction resistance test vehicle;
s2, determining subjective and objective combined game weights by using a game theory, determining combined estimation weights by using a moment estimation method, coupling the subjective and objective combined game weights and the combined estimation weights to determine each evaluation index weight, and quantifying and imaging an evaluation range of each evaluation grade of runway navigability and an evaluation result of an evaluated object by using an improved radar map to obtain a corresponding relation between the navigability evaluation range and the grade;
and S3, dividing the runway of the airport into N areas as N objects, constructing a runway airworthiness evaluation system for each area, quantizing the real-time runway surface environment by using an improved radar map, and determining the airworthiness grade by combining an airworthiness grade standard value.
2. The airport runway airworthiness assessment method under the ice and snow state as claimed in claim 1, wherein in step S2, the determining the subjective and objective combination game weight by using the game theory specifically comprises:
(i) Constructing a set of basis weight vectors q k (ii) a Weighting n road surface navigability evaluation indexes of ice and snow state, coverage area, depth, road surface temperature and friction coefficient change rate in unit time by using L kinds of subjective and objective weighting methods to construct a basic weight vector set
Comprises the following steps:
(ii) Constructing a weight vector linear combination q, wherein the linear combination q of the L vectors is as follows:
in the formula (I), the compound is shown in the specification,
in order to combine the coefficients in the game,
transposing the set of basis weight vectors;
(iii) Optimizing game combination coefficients
(ii) a Optimizing L game combination coefficients using a multi-target game set model
Such that q is the same as each
Minimizing the dispersion of (a):
the first derivative of equation (3) is solved to obtain an equivalent linear equation system:
obtaining the optimal game combination coefficient after solving
Comprises the following steps:
(iv) To the optimal game combination coefficient
Carrying out normalization treatment to obtain:
(v) Calculating optimal combined game weights
Comprises the following steps:
3. the method for assessing airworthiness of an airport runway under ice and snow conditions according to claim 1, wherein the determining the combined estimation weight by the moment estimation method in step S2 specifically comprises:
(a) Carrying out subjective evaluation index weighting by using a evaluation principles of ice and snow state, coverage area, depth, road surface temperature and friction coefficient change rate in unit time to obtain a weight set for each subjective weighting by the evaluation principles
：
In the formula (I), the compound is shown in the specification,
the method comprises the following steps that a, a subjective evaluation principle is used for carrying out subjective weighting on evaluation indexes to obtain a weight set, d represents d total evaluation indexes, and j represents one evaluation index of the d evaluation indexes;
(b) Weighting evaluation indexes of ice and snow state, coverage area, depth, road surface temperature and friction coefficient change rate in unit time by using c-a objective weighting methods to obtain objective weight set
：
In the formula (I), the compound is shown in the specification,
a weight set for carrying out objective weighting on the evaluation indexes by using c-a objective evaluation principles, wherein d represents d total evaluation indexes, and j represents one evaluation index in the d evaluation indexes; c represents that c evaluation principles are shared to carry out weighting on the evaluation indexes, a represents that a subjective evaluation principles are used for carrying out subjective weighting on the evaluation indexes, and c-a represents that c-a objective evaluation principles are used for carrying out objective weighting on the evaluation indexes;
(c) Respectively extracting a and c-a from the overall subjective weight and objective weight, and for each evaluation index
There are c weight indexes, the combination of each evaluation index estimates the weight
Satisfying the condition of weighted value among c subjective and objective weights, wherein,
；
(d) According to the evaluation index principle of the moment estimation method, the relative importance degrees of the subjective and objective weights obtained by calculation are different, and the relative importance degrees of the subjective and objective weights are respectively set as
And
the combined optimization model is as follows:
in the formula (I), the compound is shown in the specification,
in order to combine the estimated weights,
in order to be the subjective weight, the user can select,
in order to be the objective weight,
，
(ii) a e is a power number;
(e) C weights are respectively extracted from the subjective and objective weights, and each evaluation index is calculated by a moment estimation method
Subjective weight of
And objective weight
Desired value of (a):
calculating each evaluation index according to the formula
Is the importance coefficient of the subjective and objective weight
And
：
wherein the content of the first and second substances,
and
evaluating the index for each of the above steps (d)
Relative importance of the subjective and objective weights of (a);
(f) For a plurality of evaluation indexes, d weights are respectively extracted from the subjective and objective weights, and a moment estimation method is adopted to obtain:
in the formula (I), the compound is shown in the specification,
and
the relative importance of subjective and objective weights;
(g) For any one evaluation index
Converting formula (9) to:
wherein, the first and the second end of the pipe are connected with each other,
optimizing a model objective function for the combination in step (d) above;
(h) Solving the equation (13) by using an equal-weight linear weighting method to obtain an optimal combination estimation weight vector:
4. the airport runway airworthiness assessment method under the ice and snow state as claimed in claim 1, wherein the step S2 of coupling the objective and subjective combination game weight and the combination estimation weight to determine each assessment index weight specifically comprises:
(A) Combining game weights by optimal
Optimal combination estimation matrix
The weight matrix is constructed as follows:
(B) Calculating the amount of information for each weight
In the formula (I), the compound is shown in the specification,
is the standard deviation of the jth weight;
is the mean of the jth weight;
representing a correlation coefficient between the ith weight and the jth weight;
(C) The proportion calculation formula of the optimal combined game weight and the optimal combined estimation weight is as follows:
wherein, therein
Respectively representing the information content of the optimal combined game weight and the optimal combined estimation weight;
(D) The final weighted weight calculation formula of the optimal combined game weight and the optimal combined estimation weight is as follows:
wherein the content of the first and second substances,
for the proportion of the optimal combined game weights,
the duty ratio of the weights is estimated for the optimal combination.
5. The method for assessing airport runway airworthiness under ice and snow conditions as claimed in claim 1, wherein in step S2, the quantifying and imaging the assessment range of each assessment level of runway airworthiness and the assessment result of the assessed object by using the improved radar map specifically comprises:
(I) Making a unit circle, taking the center O of the unit circle as a starting point, and vertically and upwardly leading a ray to intersect with the unit circle at a point A;
(II) starting from OA at the central angle
Making a 2 nd ray, intersecting the ray with the unit circle at a point B, and sequentially making 5 line segments with the same number as the evaluation indexes of the ice and snow state, the coverage area, the depth, the road surface temperature and the friction coefficient change rate in unit time according to the principle;
(III) making the central angle according to the above
The angular bisector of (a) is taken as a coordinate axis of the ice and snow state change rate, the coverage change rate, the depth change rate, the road surface temperature change rate and the friction coefficient change rate;
(IV) normalizing data of 5 index values of the nth area and the nth evaluation object of the airport runway by using the center of the unit circle as the origin
One-to-one correspondence is marked on each index coordinate axis and is connected in sequence in a broken line mode
Forming a closed image area by the points to form an improved radar map;
(V) calculating the Radar map area of the evaluation object n
And circumference
：
(VI) calculating the area of the radar map when the normalized data of all the evaluation index values are 1
And circumference
：
(VII) calculating a final integrated evaluation value
：
6. The method for assessing seaworthiness of an airport runway under the ice and snow state according to claim 1, wherein constructing a runway seaworthiness assessment system for each area in step S3 specifically comprises:
dividing the runway into N areas, namely N objects, according to the busyness degree of the airport, quantizing and visualizing the real-time data by using an improved radar map, calculating a comprehensive evaluation value, and determining the airworthiness grade according to the corresponding relation between the airworthiness evaluation range and the grade of the runway.
7. An airport runway airworthiness assessment system under ice and snow conditions for implementing the airport runway airworthiness assessment method under ice and snow conditions of any one of claims 1~6, comprising:
the system comprises a pavement environment change rate evaluation index acquisition system (1), wherein the pavement environment change rate including ice and snow states, coverage, depth, pavement temperature and friction coefficient in a certain period of time is acquired by an airport meteorological station and a runway friction test vehicle and is used as an evaluation index;
the navigability assessment range and grade corresponding relation acquisition module (2) determines the main and objective combination game weights by using a game theory, determines the combination estimation weights by using a moment estimation method, couples the main and objective combination game weights and the combination estimation weights to determine each assessment index weight, and quantifies and graphs the assessment ranges of the various assessment grades of the navigability of the runway and the assessment results of the assessed objects by using an improved radar map to obtain the corresponding relation between the navigability assessment range and the grades;
the airworthiness grade determining module (3) is used for dividing a runway of an airport into N areas as N objects, constructing a runway airworthiness evaluating system for each area, quantifying a real-time road surface environment by using an improved radar map, and determining an airworthiness grade by combining an airworthiness grade standard value.
8. A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the airport runway airworthiness assessment method of any of claims 1~6.
9. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the airport runway airworthiness assessment method of any of claims 1~6.
10. An information data processing terminal, wherein the information data processing terminal is configured to provide a user input interface to implement the airport runway airworthiness assessment method according to any one of claims 1~6 when implemented on an electronic device.
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