CN114399498B - Airport runway surface condition assessment method and system - Google Patents
Airport runway surface condition assessment method and system Download PDFInfo
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Abstract
The invention provides an airport runway surface condition evaluation method and system, wherein the method comprises the following steps: obtaining a first airport runway; obtaining a first state evaluation attribute and a second state evaluation attribute; extracting attribute standard values of a first airport runway to obtain a first state attribute standard value list and a second state attribute standard value list, and extracting attribute real-time values of the first airport runway through a first image acquisition device to obtain a first state attribute real-time value list and a second state attribute real-time value list; inputting the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model to obtain a first monitoring result; inputting the second state attribute standard value list and the second state attribute real-time value list into the abnormity monitoring model to obtain a second monitoring result; and adding the abnormal region information and the abnormal mark information into the first abnormal state information, and sending the first abnormal state information to a first worker.
Description
Technical Field
The invention relates to the technical field of artificial intelligence correlation, in particular to an airport runway surface condition assessment method and system.
Background
The airport runway is an area where the aircraft is parked for taking off and landing in the airport, is one of important ways for ensuring the safe taking off and landing of the aircraft by monitoring the state of the airport runway, and is a task which is concerned about in the airport.
The current monitoring mode is mainly characterized in that a tight monitoring network is deployed, shift workers judge and evaluate monitoring information and further process the airport runway state information needing to be adjusted and corrected, but the mode has two problems, namely, the labor cost is high, and the working efficiency is low; the two methods are artificially subjective judgment, lack objectivity and have high requirement on the professional degree of workers.
In the prior art, monitoring information is judged mainly by workers, so that the technical problems of low efficiency and incapability of judging the accuracy of a result exist.
Disclosure of Invention
The embodiment of the application provides an airport runway surface condition assessment method and system, and solves the technical problems that in the prior art, due to the fact that monitoring information is mainly judged by workers, efficiency is low and accuracy of results cannot be judged.
In view of the above problems, the embodiments of the present application provide an airport runway surface condition assessment method and system.
In a first aspect, an embodiment of the present application provides an airport runway surface condition assessment method, which is applied to an airport runway surface condition assessment system, where the system includes a plurality of image acquisition devices, and the method includes: obtaining a first airport runway, wherein the first airport runway is an airport runway to be used; obtaining a first state assessment attribute and a second state assessment attribute, wherein the first state assessment attribute characterizes a runway partition state and the second state assessment attribute characterizes a runway marker state; extracting an attribute standard value of the first airport runway based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute standard value list and a second state attribute standard value list; extracting an attribute real-time value of the first airport runway through a first image acquisition device based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute real-time value list and a second state attribute real-time value list; inputting the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model to obtain a first monitoring result, wherein the first monitoring result comprises anomaly region information; inputting the second state attribute standard value list and the second state attribute real-time value list into an anomaly monitoring model to obtain a second monitoring result, wherein the second monitoring result comprises anomaly flag information; and adding the abnormal region information and the abnormal mark information into first abnormal state information, and sending the first abnormal state information to a first worker.
In another aspect, an embodiment of the present application provides an airport runway surface condition evaluation system, which includes: the system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining a first airport runway, and the first airport runway is an airport runway to be used; a second obtaining unit, configured to obtain a first state assessment attribute and a second state assessment attribute, where the first state assessment attribute represents a runway section state, and the second state assessment attribute represents a runway sign state; the first extraction unit is used for extracting an attribute standard value of the first airport runway based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute standard value list and a second state attribute standard value list; the second extraction unit is used for extracting an attribute real-time value of the first airport runway through the first image acquisition device based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute real-time value list and a second state attribute real-time value list; a third obtaining unit, configured to input the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model, and obtain a first monitoring result, where the first monitoring result includes anomaly region information; a fourth obtaining unit, configured to input the second state attribute standard value list and the second state attribute real-time value list into an anomaly monitoring model, and obtain a second monitoring result, where the second monitoring result includes anomaly flag information; and the first sending unit is used for adding the abnormal area information and the abnormal mark information into first abnormal state information and sending the first abnormal state information to a first worker.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method according to any one of the first aspect when executing the program.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method of any one of the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the method adopts the technical scheme that the status evaluation attribute of the airport runway to be used is preset, the specific value of the preset status evaluation attribute is collected according to the serial number of the airport runway, the actual value corresponding to the preset status evaluation attribute is collected by the image collecting device, the standard value and the actual value are input into the abnormity monitoring model to be evaluated to obtain the abnormity monitoring result, and the abnormity monitoring result is sent to a worker for verification processing.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a method for evaluating the surface condition of an airport runway according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of an abnormal monitoring method for an equipment area in an airport runway surface condition assessment method according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an airport runway surface condition assessment system according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the device comprises a first obtaining unit 11, a second obtaining unit 12, a first extracting unit 13, a second extracting unit 14, a third obtaining unit 15, a fourth obtaining unit 16, a first sending unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The embodiment of the application provides an airport runway surface condition assessment method and system, and solves the technical problems that in the prior art, due to the fact that monitoring information is mainly judged by workers, efficiency is low and accuracy of results cannot be judged. The abnormal information is judged based on the intelligent model, and the technical effects of improving the objectivity of the judgment result and improving the working efficiency are achieved.
Summary of the application
The airport runway is an area where the aircraft is parked for taking off and landing in the airport, is one of important ways for ensuring the safe taking off and landing of the aircraft by monitoring the state of the airport runway, and is a task which is concerned about in the airport. The current monitoring mode is mainly characterized in that a tight monitoring network is deployed, shift workers judge and evaluate monitoring information and further process the airport runway state information needing to be adjusted and corrected, but the mode has two problems, namely, the labor cost is high, and the working efficiency is low; the two methods are artificially and subjectively judged, lack objectivity and have higher requirements on the professional degree of workers. In the prior art, monitoring information is judged mainly by workers, so that the technical problems of low efficiency and incapability of judging the accuracy of a result exist.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides an airport runway surface condition assessment method and system, and solves the technical problems that in the prior art, due to the fact that monitoring information is mainly judged by workers, efficiency is low and accuracy of results cannot be judged. The technical scheme is that the state evaluation attribute of the airport runway to be used is preset, the specific value of the preset state evaluation attribute is collected according to the number of the airport runway, the actual value corresponding to the preset state evaluation attribute is collected by the image collection device, the standard value and the actual value are input into the abnormity monitoring model to be evaluated to obtain the abnormity monitoring result, and the abnormity monitoring result is sent to a worker for verification processing.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an airport runway surface condition assessment method, where the method is applied to an airport runway surface condition assessment system, the system includes a plurality of image acquisition devices, and the method includes:
s100: obtaining a first airport runway, wherein the first airport runway is an airport runway to be used;
further, based on the obtaining of the first airport runway, step S100 includes:
s110: obtaining a preset use time list according to the airport runway number list, wherein the airport runway number corresponds to the preset use time one to one;
s120: traversing the airport runway number list based on the preset use time list, and setting a monitoring time list, wherein the preset use time is in one-to-one correspondence with the monitoring time, and the preset use time is later than the monitoring time;
s130: and when the monitoring time list is met, obtaining a first airport runway number, wherein the first airport runway number represents the first airport runway.
Specifically, the first airport runway is an airport runway to be used for functions such as parking an aircraft, starting the aircraft, landing the aircraft and the like, and is determined in the following way:
the airport runway number list refers to preset number information for each airport runway, each airport runway has a unique corresponding airport runway number, and the runway number represents the course of the runway, and exemplarily: for example, the runway of the sourdough airport, numbered 34, indicates that its course is 340 degrees, i.e., the aircraft departs therefrom, and the initial course is 340. all airport runway numbers in the airport are stored, each airport runway number representing an airport runway.
The preset using time list refers to a result of storing the preset using time of each airport runway planned in advance according to flight information, and the preset using time list and the airport runway number list are stored in a one-to-one correspondence mode, so that the preset using time of each airport runway can be determined. The monitoring time list refers to a result of storing monitoring time of the state of the airport runway before each airport runway is used, which is set for each preset use time list, and the monitoring time is mainly used for identifying and adjusting abnormal information of the state of the airport runway in the monitoring time, so that the monitoring time is earlier than the preset use time.
Further, the airport runway numbers meeting the monitoring time list are extracted and stored, and the first airport runway can be determined according to the extracted airport runway numbers due to the one-to-one correspondence relationship between the airport runway numbers and the airport runways. The state monitoring is carried out on the airport runway to be used by setting the monitoring time, and the airport runway can be used when the state has no abnormal information, so that the use safety of the airport runway is guaranteed.
S200: obtaining a first state assessment attribute and a second state assessment attribute, wherein the first state assessment attribute characterizes a runway section state and the second state assessment attribute characterizes a runway flag state;
specifically, the first state evaluation attribute refers to one of preset dimension attributes for performing state evaluation on the first airport runway, and represents state information of different partitions in the first airport runway, for example: information such as partition width, length, gradient, whether an obstacle exists or not;
the second state evaluation attribute refers to another dimension attribute of the first airport runway progress state evaluation, which is used for characterizing the runway flag state, and exemplarily: the definition, pattern, position and size accuracy of the mark information such as the number, the runway threshold mark, the stop area mark, the visual aiming point mark, the grounding area mark and the like.
Corresponding standard values and actual values can be called in the subsequent step through the preset state evaluation attributes of the two dimensions, the actual value is analyzed to obtain abnormal state information of the first airport runway, and the first airport runway is guaranteed to be used safely by adjusting the abnormal state information.
S300: extracting an attribute standard value of the first airport runway based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute standard value list and a second state attribute standard value list;
s400: extracting an attribute real-time value of the first airport runway through a first image acquisition device based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute real-time value list and a second state attribute real-time value list;
specifically, each state attribute information is set to be a standard value when the first airport runway is constructed; the first state attribute standard value list refers to a data set determined by extracting the partition state standard value of the first airport runway through the first state evaluation attribute; the second state attribute standard value list refers to a data set determined by extracting runway marker state standard values from the first airport runway by the second state assessment attribute.
Further, since both the first state assessment property and the second state assessment property may be determined by the image acquisition device, by the first image acquisition device, exemplarily: the camera device, the infrared imaging device, the radar detection device and the like are used for extracting the real-time state data of the first airport runway. The first state attribute real-time value list refers to a result obtained after extracting the real-time partition state value of the first airport runway by using the first image acquisition device based on the first state evaluation attribute; the second state attribute real-time value list refers to a result of extracting a runway sign state value of the first airport runway in real time based on the second state evaluation attribute using the first image acquisition device. The first image acquisition devices are a plurality of devices of different types deployed at different positions of an airport and are called according to actual requirements.
By extracting the standard value of the state evaluation attribute and the real-time value of the state evaluation attribute, an information feedback basis is provided for the subsequent input abnormality monitoring model.
S500: inputting the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model to obtain a first monitoring result, wherein the first monitoring result comprises anomaly region information;
s600: inputting the second state attribute standard value list and the second state attribute real-time value list into an anomaly monitoring model to obtain a second monitoring result, wherein the second monitoring result comprises anomaly flag information;
specifically, the anomaly monitoring model refers to a model for identifying an anomaly of a state attribute real-time value constructed based on a plurality of isolated trees, and the specific implementation principle is as follows: the method comprises the steps of forming root node data by a state attribute standard value and a state attribute real-time value, limiting data with isolated nodes as abnormal state data, randomly taking a maximum value and a minimum value of input data to carry out multi-level segmentation, generating a level of an isolated tree once by segmentation, stopping segmentation until a preset level is met or an abnormal value is generated, and obtaining the isolated leaf node as the abnormal value, wherein the preset level is preferably the highest level of all the isolated trees with the abnormal value during training. Because the input data is added with the state attribute standard value, when the state attribute real-time value is normal, no isolated leaf node appears.
The first monitoring result refers to that after the abnormal monitoring model is constructed, the first state attribute standard value list and the first state attribute real-time value list are input into the abnormal monitoring model to be monitored to obtain a result, when abnormal state information exists in the partition, the first monitoring result is added, and the first monitoring result is displayed to be in an abnormal state; when the partition does not have abnormal state information, the first monitoring result is displayed as a normal state.
The second monitoring result refers to a result obtained by inputting the second state attribute standard value list and the second state attribute real-time value list into the abnormal monitoring model after the abnormal monitoring model is constructed, and when the runway sign has abnormal state information, the second monitoring result is added, and the second monitoring result is displayed as an abnormal state; when the runway sign does not have the abnormal state information, the second monitoring result is displayed as a normal state.
Monitoring information in the first airport runway is intelligently identified through the anomaly monitoring model, so that automatic monitoring of the anomaly information is realized, and the technical effects of improving state evaluation efficiency and monitoring accuracy are achieved.
S700: and adding the abnormal region information and the abnormal mark information into first abnormal state information, and sending the first abnormal state information to a first worker.
Specifically, the first abnormal state information refers to a result obtained by extracting and storing abnormal region information in the first monitoring result and abnormal flag information in the second monitoring result, and sending the result to the first worker, the first worker can review the abnormal information, after confirmation, a targeted measure can be adopted to eliminate the abnormal state, and compared with the previous comprehensive manual screening, the authenticity of the abnormal information only needs to be manually reviewed, so that the labor cost is reduced, and the abnormal state evaluation efficiency is improved.
Further, based on the obtaining of the first state evaluation attribute and the second state evaluation attribute, step S200 includes:
s210: obtaining a first geometric index, wherein the first geometric index comprises a position, a length, a width and a gradient;
s220: obtaining a first barrier index, wherein the first barrier index comprises a ground barrier and an air barrier;
s230: obtaining a first position index and a first appearance index, wherein the first position index comprises a size index and overall coordinates;
s240: adding the first geometric indicator and the first barrier indicator to the first state assessment attribute, and adding the first position indicator and the first appearance indicator to the second state assessment attribute.
Specifically, the first state evaluation attribute refers to a preset index for evaluating the state condition of each runway partition, and includes but is not limited to: a first geometric index, exemplarily: position, length, width, slope, etc.; a first barrier index: exemplary are as follows: ground barriers, such as ground obstacles like standing water, stones, unrelated equipment, etc., air barriers, such as flying birds, etc. The evaluation index of each runway section may include one or more of the evaluation indexes, which are set by itself according to the actual result of the runway section, and is not limited herein.
The second state evaluation attribute refers to a preset index for evaluating the state condition of each runway sign information, and includes but is not limited to: a first position indicator, illustratively: such as a size index, overall coordinates and the like, the first appearance index refers to the appearance shape state of the characteristic mark, whether the color and the depth of the mark are abnormal or not, and the like. Each of the marker evaluation indexes may include one or more of the markers, and is set by itself according to the actual situation of the runway, which is not limited herein.
Through presetting airport runway state evaluation index, provide the reference for accurate and the directive property of follow-up extraction data.
Further, extracting an attribute standard value for the first airport runway based on the first state evaluation attribute to obtain a first state attribute standard value list, where step S300 includes step S310:
s311: performing functional partitioning on the first airport runway to obtain a first partitioning result, wherein the first partitioning result comprises a first main runway partitioning result and a first auxiliary partitioning result;
s312: obtaining a first entrance area, a first runway area and a first jet area according to the first main runway partition result;
s313: obtaining a first road shoulder area, a first safety belt, a first purifying road area and a first taxiway area according to the first auxiliary subarea result;
s314: traversing the first entrance area, the first runway area, the first jet area, the first road shoulder area, the first safety belt, the first purifying runway area and the first taxiway area based on the first state evaluation attribute to extract an attribute standard value of the first airport runway, and obtaining a first state attribute standard value list.
Specifically, the first zoning result refers to a result obtained after zoning the first airport runway based on airport runway functionality, including but not limited to: a first primary runway zoning result and a first secondary zoning result. The first main runway partition result refers to a main runway for taking off and landing of the aircraft, the first auxiliary partition result refers to an auxiliary partition associated with the first main runway partition result, generally refers to each partition in a peripheral preset area, and the preset area is a preset peripheral area based on the first main runway partition result.
The first primary runway segment outcome specifically includes, but is not limited to: the first inlet area, the first runway area and the first spray area. The first inlet area refers to a runway inlet area at take-off, the first runway area refers to a long runway for aircraft acceleration, and the first jet area refers to an area subjected to jet flow of the aircraft.
The first auxiliary partition result specifically includes, but is not limited to: the first safety belt is arranged in the first shoulder area, the first safety belt is arranged in the first purification passage area, and the first taxiway area is arranged in the first taxiway area. The first shoulder area refers to the shoulders on the two sides of the first runway area, and is an isolated area between the longitudinal side edge of the runway and the connected land, so that when the airplane deviates from the central line of the runway due to wind measurement, the airplane cannot be damaged; the first safety belt is used for marking a certain area around the runway to ensure the safety of the airplane rushing out of the runway under the accident condition and is divided into a side safety belt and a road end safety belt; the first purifying channel area refers to the ground outside the runway end and an upwardly extending airspace, and no obstacle except runway lights can be in the area, and the area can be the water surface or the ground; the first taxiway area refers to an airplane running path connecting all parts of the flight area, the first taxiway area is connected with two ends of a runway from the airport, one or more runway outlets are arranged in the middle section of the runway with heavy traffic and are connected with the taxiway, so that a landed airplane can rapidly leave the runway.
Further, the first state attribute standard value list refers to traversing the first entrance area, the first runway area, the first jet area, the first shoulder area, the first safety belt, the first purifying road area and the first taxiway area based on a first state evaluation attribute, performing standard value extraction of the first state evaluation attribute on each subarea, and storing standard value information and airport runway numbers in a database in a one-to-one correspondence manner, so that the quick calling is facilitated. And extracting the first state attribute standard value list to provide an information feedback basis for the subsequent abnormal state division.
Further, based on the second state evaluation attribute, extracting an attribute standard value of the first airport runway to obtain a second state attribute standard value list, where step S300 includes step S320:
s321: obtaining a first airport runway sign information set according to the first airport runway;
s322: and traversing the first airport runway sign information set based on the second state evaluation attribute to extract an attribute standard value to obtain a second state attribute standard value list.
Specifically, the first airport runway marking information set refers to a marking information set in the first airport runway, exemplarily: such as runway numbers, entry signs, stop zone signs, target sight point signs, ground area signs, equipment area signs, purge path signs, centerline signs, and the like. The second state attribute standard value list refers to a result obtained after traversing the first airport runway sign information set and matching the corresponding second state evaluation attribute standard value for each piece of first airport runway sign information in sequence. The standard value information and the airport runway numbers are stored in the database in a one-to-one correspondence mode, and quick calling is facilitated. And through extracting the second state attribute standard value list, providing an information feedback basis for the subsequent abnormal state division.
Further, the method step S500 includes:
s510: obtaining first historical data, wherein the first historical data comprises a state attribute standard value historical data set and a state attribute actual value historical data set;
s520: traversing the state attribute standard value historical data set and the state attribute actual value historical data set to obtain a first state attribute standard value historical data list and a first state attribute actual value historical data list;
s530: constructing a first isolated tree group according to the first state attribute standard value historical data list and the first state attribute actual value historical data list, wherein the construction is completed when a single leaf node appears in the first isolated tree group or a preset height is met;
s540: traversing the state attribute standard value historical data set and the state attribute actual value historical data set to obtain a second state attribute standard value historical data list and a second state attribute actual value historical data list;
s550: constructing a second isolated tree group according to the second state attribute standard value historical data list and the second state attribute actual value historical data list, wherein the construction is completed when a single leaf node appears in the second isolated tree group or the preset height is met;
s560: and merging the first isolated tree group and the second isolated tree group to obtain the anomaly monitoring model.
Specifically, the first historical data refers to a data set used for constructing an anomaly monitoring model based on big data collection, and comprises a plurality of groups of state attribute standard value historical data sets and state attribute actual value historical data sets.
The first state attribute standard value historical data list and the first state attribute actual value historical data list refer to multiple groups of historical data, extracted from multiple groups of state attribute standard value historical data sets and state attribute actual value historical data sets, of an isolated tree group for establishing and evaluating a partition state, the first state attribute standard value historical data list and the first state attribute actual value historical data list which correspond to each other in a one-to-one mode are traversed, multiple abnormal monitoring isolated trees are established, the dimensions of state attributes in the isolated trees and the state attributes in the lists are the same, and after all the isolated trees are established, the first isolated tree group is obtained and can be used for evaluating the abnormal condition of the partition state.
The second state attribute standard value historical data list and the second state attribute actual value historical data list refer to multiple groups of historical data, extracted from multiple groups of state attribute standard value historical data sets and state attribute actual value historical data sets, of an isolated tree group for establishing an evaluation partition state, the second state attribute standard value historical data list and the second state attribute actual value historical data list which correspond to each other in a one-to-one mode are traversed, multiple abnormal monitoring isolated trees are established, the dimensions of state attributes in the isolated trees and the state attributes in the lists are the same, and after all the isolated trees are established, the second isolated tree group is obtained and can be used for evaluating abnormal conditions of the runway sign state.
Wherein, preferably, before each isolated tree is constructed, the multiple groups of history data are divided into 9: and 1, setting a ratio of 9 as a training data set, setting a ratio of 1 as a verification data set, verifying the generalization capability of the anomaly monitoring model by using the verification data when the output of the anomaly monitoring model constructed by the training data set meets the preset accuracy, and generating the anomaly monitoring model if the output meets the preset accuracy, so that a more accurate anomaly monitoring result can be obtained.
Further, as shown in fig. 2, the method further includes step S800:
s810: obtaining a first adjacent equipment area according to the first airport runway;
s820: acquiring an image of the first adjacent equipment area through the first image acquisition device to obtain a first image acquisition result;
s830: extracting the device characteristics of the first image acquisition result to obtain a first device position;
s840: and when the position of the first equipment does not meet a first preset position, acquiring abnormal information of the first equipment.
Specifically, the first neighboring device region refers to a device region within a preset region; the first image acquisition result refers to an image set of devices characterizing a first neighboring device region; the first device location refers to location coordinates of devices of a first neighboring device region; the first preset position refers to a position where a first adjacent device area preset device is to be located; when the first equipment position does not meet the first preset position, potential safety hazards may exist, adjustment is needed, and abnormal information of the first equipment is generated to remind workers, so that the use safety of the airport runway is guaranteed.
In summary, the method and the system for evaluating the surface condition of the airport runway provided by the embodiment of the application have the following technical effects:
1. the technical scheme is that the state evaluation attribute of the airport runway to be used is preset, the specific value of the preset state evaluation attribute is collected according to the number of the airport runway, the actual value corresponding to the preset state evaluation attribute is collected by the image collection device, the standard value and the actual value are input into the abnormity monitoring model to be evaluated to obtain the abnormity monitoring result, and the abnormity monitoring result is sent to a worker for verification processing.
Example two
Based on the same inventive concept as the method and system for evaluating the surface condition of the airport runway, as shown in fig. 3, the embodiment of the present application provides an airport runway surface condition evaluation system, wherein the system comprises:
a first obtaining unit 11, configured to obtain a first airport runway, where the first airport runway is an airport runway to be used;
a second obtaining unit 12, configured to obtain a first status evaluation attribute and a second status evaluation attribute, where the first status evaluation attribute represents a runway section status, and the second status evaluation attribute represents a runway sign status;
a first extracting unit 13, configured to perform attribute standard value extraction on the first airport runway based on the first state evaluation attribute and the second state evaluation attribute, so as to obtain a first state attribute standard value list and a second state attribute standard value list;
a second extracting unit 14, configured to perform attribute real-time value extraction on the first airport runway through a first image acquisition device based on the first state evaluation attribute and the second state evaluation attribute, so as to obtain a first state attribute real-time value list and a second state attribute real-time value list;
a third obtaining unit 15, configured to input the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model, and obtain a first monitoring result, where the first monitoring result includes anomaly region information;
a fourth obtaining unit 16, configured to input the second state attribute standard value list and the second state attribute real-time value list into an anomaly monitoring model, so as to obtain a second monitoring result, where the second monitoring result includes anomaly flag information;
and the first sending unit 17 is configured to add the abnormal region information and the abnormal flag information into first abnormal state information, and send the first abnormal state information to a first worker.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a preset usage time list according to an airport runway number list, where the airport runway number corresponds to the preset usage time one to one;
the first setting unit is used for traversing the airport runway number list based on the preset using time list and setting a monitoring time list, wherein the preset using time is in one-to-one correspondence with the monitoring time, and the preset using time is later than the monitoring time;
a sixth obtaining unit, configured to obtain a first airport runway number when the monitoring time list is satisfied, where the first airport runway number represents the first airport runway.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain a first geometric index, where the first geometric index includes a position, a length, a width, and a gradient;
the eighth obtaining unit is configured to obtain a first barrier index, where the first barrier index includes a ground barrier and an air barrier;
a ninth obtaining unit configured to obtain a first position index and a first appearance index, wherein the first position index includes a size index and overall coordinates;
a first adding unit configured to add the first geometric index and the first barrier index into the first state assessment attribute, and to add the first position index and the first appearance index into the second state assessment attribute.
Further, the system further comprises:
a tenth obtaining unit, configured to perform functional partitioning on the first airport runway to obtain a first partitioning result, where the first partitioning result includes a first main runway partitioning result and a first auxiliary partitioning result;
an eleventh obtaining unit, configured to obtain a first entrance area, a first runway area, and a first jet area according to the first main runway partition result;
a twelfth obtaining unit, configured to obtain a first road shoulder area, a first safety belt, a first purifying road area, and a first taxiway area according to the first auxiliary partition result;
a thirteenth obtaining unit, configured to traverse the first entrance area, the first runway area, the first jet area, the first road shoulder area, the first safety belt, the first clean lane area, and the first taxiway area based on the first state evaluation attribute to perform attribute standard value extraction on the first airport runway, so as to obtain the first state attribute standard value list.
Further, the system also comprises;
a fourteenth obtaining unit, configured to obtain a first airport runway sign information set according to the first airport runway;
a fifteenth obtaining unit, configured to traverse the first airport runway sign information set based on the second state evaluation attribute to extract an attribute standard value, so as to obtain the second state attribute standard value list.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain first historical data, where the first historical data includes a historical data set of standard values of state attributes and a historical data set of actual values of state attributes;
a seventeenth obtaining unit, configured to traverse the state attribute standard value historical data set and the state attribute actual value historical data set, and obtain a first state attribute standard value historical data list and a first state attribute actual value historical data list;
the first construction unit is used for constructing a first isolated tree group according to the first state attribute standard value historical data list and the first state attribute actual value historical data list, wherein the construction of the first isolated tree group is completed when a single leaf node appears or a preset height is met;
an eighteenth obtaining unit, configured to traverse the state attribute standard value historical data set and the state attribute actual value historical data set, and obtain a second state attribute standard value historical data list and a second state attribute actual value historical data list;
the second construction unit is used for constructing a second isolated tree group according to the second state attribute standard value historical data list and the second state attribute actual value historical data, wherein the second isolated tree group is constructed when a single leaf node appears or the preset height is met;
a nineteenth obtaining unit, configured to merge the first isolated tree group and the second isolated tree group, so as to obtain the anomaly monitoring model.
Further, the system further comprises:
a twentieth obtaining unit, configured to obtain a first adjacent equipment area according to the first airport runway;
a twenty-first obtaining unit, configured to perform image acquisition on the first adjacent device area through the first image acquisition device, and obtain a first image acquisition result;
a twenty-second obtaining unit, configured to perform device feature extraction on the first image acquisition result to obtain a first device position;
and a twenty-third obtaining unit, configured to obtain the first device abnormal information when the first device location does not meet the first preset location.
EXAMPLE III
Based on the same inventive concept as the method for evaluating the surface condition of the airport runway in the previous embodiment, the present application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the method of any one of the embodiments.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 4.
Based on the same inventive concept as the method for evaluating the surface condition of the airport runway in the previous embodiment, the embodiment of the application further provides an electronic device, which comprises: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be, but is not limited to, ROM or other types of static storage devices that can store static information and instructions, RAM or other types of dynamic storage devices that can store information and instructions, EEPROM, CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is used for executing computer-executable instructions stored in the memory 301, so as to implement an airport runway surface condition assessment method provided by the above-mentioned embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application provides an airport runway surface condition assessment method and system, due to the fact that the condition assessment attribute presetting is carried out on an airport runway to be used, the specific value of the preset condition assessment attribute is collected according to the number of the airport runway, the actual value corresponding to the preset condition assessment attribute is collected by the image collecting device, the standard value and the actual value are input into the abnormity monitoring model to be assessed to obtain an abnormity monitoring result, the abnormity monitoring result is sent to a worker to be verified and processed, the abnormity information is judged based on the intelligent model, and the technical effects of improving the objectivity of the judging result and the working efficiency are achieved.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of item(s) or item(s). For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely illustrative of the present application as defined in the accompanying claims, and are to be construed as covering any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. An airport runway surface condition assessment method, comprising:
obtaining a first airport runway, wherein the first airport runway is an airport runway to be used;
obtaining a first state assessment attribute and a second state assessment attribute, wherein the first state assessment attribute characterizes a runway partition state and the second state assessment attribute characterizes a runway marker state;
extracting an attribute standard value of the first airport runway based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute standard value list and a second state attribute standard value list;
extracting an attribute real-time value of the first airport runway through a first image acquisition device based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute real-time value list and a second state attribute real-time value list;
inputting the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model to obtain a first monitoring result, wherein the first monitoring result comprises anomaly region information;
inputting the second state attribute standard value list and the second state attribute real-time value list into an anomaly monitoring model to obtain a second monitoring result, wherein the second monitoring result comprises anomaly flag information;
adding the abnormal region information and the abnormal sign information into first abnormal state information, and sending the first abnormal state information to a first worker;
the obtaining the first state evaluation attribute and the second state evaluation attribute includes:
obtaining a first geometric index, wherein the first geometric index comprises a position, a length, a width and a gradient;
obtaining a first barrier index, wherein the first barrier index comprises a ground barrier and an air barrier;
obtaining a first position index and a first appearance index, wherein the first position index comprises a size index and overall coordinates;
adding the first geometric indicator and the first barrier indicator into the first state assessment attribute, adding the first position indicator and the first appearance indicator into the second state assessment attribute;
obtaining first historical data, wherein the first historical data comprises a state attribute standard value historical data set and a state attribute actual value historical data set;
traversing the historical data set of the state attribute standard value and the historical data set of the state attribute actual value to obtain a first state attribute standard value historical data list and a first state attribute actual value historical data list;
constructing a first isolated tree group according to the first state attribute standard value historical data list and the first state attribute actual value historical data list, wherein the construction is completed when a single leaf node appears in the first isolated tree group or a preset height is met;
traversing the state attribute standard value historical data set and the state attribute actual value historical data set to obtain a second state attribute standard value historical data list and a second state attribute actual value historical data list;
constructing a second isolated tree group according to the second state attribute standard value historical data list and the second state attribute actual value historical data list, wherein the construction is completed when a single leaf node appears in the second isolated tree group or the preset height is met;
and merging the first isolated tree group and the second isolated tree group to obtain the anomaly monitoring model.
2. The method of claim 1, wherein the obtaining a first airport runway comprises:
obtaining a preset use time list according to the airport runway number list, wherein the airport runway number corresponds to the preset use time one to one;
traversing the airport runway number list based on the preset use time list, and setting a monitoring time list, wherein the preset use time corresponds to the monitoring time one by one, and the preset use time is later than the monitoring time;
and when the monitoring time list is met, obtaining a first airport runway number, wherein the first airport runway number represents the first airport runway.
3. The method of claim 1, wherein said extracting an attribute standard value for said first airport runway based on said first state assessment attribute to obtain a first state attribute standard value list comprises:
performing functional partitioning on the first airport runway to obtain a first partitioning result, wherein the first partitioning result comprises a first main runway partitioning result and a first auxiliary partitioning result;
obtaining a first entrance area, a first runway area and a first jet area according to the first main runway partition result;
obtaining a first road shoulder area, a first safety belt, a first purifying road area and a first taxiway area according to the first auxiliary subarea result;
traversing the first entrance area, the first runway area, the first jet area, the first road shoulder area, the first safety belt, the first purifying runway area and the first taxiway area based on the first state evaluation attribute to extract an attribute standard value of the first airport runway, so as to obtain a first state attribute standard value list.
4. The method of claim 1, wherein said extracting an attribute standard value for said first airport runway based on said second state-assessed attribute to obtain a second state attribute standard value list comprises:
obtaining a first airport runway sign information set according to the first airport runway;
and traversing the first airport runway sign information set based on the second state evaluation attribute to extract an attribute standard value to obtain a second state attribute standard value list.
5. The method of claim 1, wherein the method further comprises:
obtaining a first adjacent equipment area according to the first airport runway;
acquiring an image of the first adjacent equipment area through the first image acquisition device to obtain a first image acquisition result;
extracting the device characteristics of the first image acquisition result to obtain a first device position;
and when the position of the first equipment does not meet a first preset position, acquiring abnormal information of the first equipment.
6. An airport runway surface condition assessment system, comprising:
the system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining a first airport runway, and the first airport runway is an airport runway to be used;
a second obtaining unit, configured to obtain a first state assessment attribute and a second state assessment attribute, where the first state assessment attribute represents a runway section state, and the second state assessment attribute represents a runway sign state;
the first extraction unit is used for extracting an attribute standard value of the first airport runway based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute standard value list and a second state attribute standard value list;
the second extraction unit is used for extracting an attribute real-time value of the first airport runway through the first image acquisition device based on the first state evaluation attribute and the second state evaluation attribute to obtain a first state attribute real-time value list and a second state attribute real-time value list;
a third obtaining unit, configured to input the first state attribute standard value list and the first state attribute real-time value list into an anomaly monitoring model, and obtain a first monitoring result, where the first monitoring result includes anomaly region information;
a fourth obtaining unit, configured to input the second state attribute standard value list and the second state attribute real-time value list into an anomaly monitoring model, and obtain a second monitoring result, where the second monitoring result includes anomaly flag information;
the first sending unit is used for adding the abnormal region information and the abnormal mark information into first abnormal state information and sending the first abnormal state information to a first worker;
the second obtaining unit obtains a first state evaluation attribute and a second state evaluation attribute, including:
a seventh obtaining unit, configured to obtain a first geometric index, where the first geometric index includes a position, a length, a width, and a gradient;
the eighth obtaining unit is configured to obtain a first barrier index, where the first barrier index includes a ground barrier and an air barrier;
a ninth obtaining unit configured to obtain a first position index and a first appearance index, wherein the first position index includes a size index and overall coordinates;
a first adding unit configured to add the first geometric index and the first barrier index into the first state evaluation attribute, and to add the first position index and the first appearance index into the second state evaluation attribute;
a sixteenth obtaining unit, configured to obtain first historical data, where the first historical data includes a historical data set of standard values of state attributes and a historical data set of actual values of state attributes;
a seventeenth obtaining unit, configured to traverse the historical state attribute standard value data set and the historical state attribute actual value data set, and obtain a first historical state attribute standard value data list and a first historical state attribute actual value data list;
the first construction unit is used for constructing a first isolated tree group according to the first state attribute standard value historical data list and the first state attribute actual value historical data list, wherein the construction of the first isolated tree group is completed when a single leaf node appears or a preset height is met;
an eighteenth obtaining unit, configured to traverse the state attribute standard value historical data set and the state attribute actual value historical data set, and obtain a second state attribute standard value historical data list and a second state attribute actual value historical data list;
the second construction unit is used for constructing a second isolated tree group according to the second state attribute standard value historical data list and the second state attribute actual value historical data, wherein the second isolated tree group is constructed when a single leaf node appears or the preset height is met;
a nineteenth obtaining unit, configured to merge the first isolated tree group and the second isolated tree group, so as to obtain the anomaly monitoring model.
7. An electronic device, comprising: a processor coupled to a memory, the memory for storing a program, wherein the program, when executed by the processor, causes a system to perform the method of any of claims 1 to 5.
8. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method according to any one of claims 1 to 5.
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