CN112183973A - Flight data processing method and device, storage medium and processor - Google Patents
Flight data processing method and device, storage medium and processor Download PDFInfo
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Abstract
The invention discloses a flight data processing method, a flight data processing device, a storage medium and a processor. Wherein, the method comprises the following steps: acquiring flight data of a target flight; analyzing the flight data based on assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; checking the normal level of the target flight based on the analysis result to obtain a checking result; and outputting the assessment result. The invention solves the technical problem of low processing efficiency of flight data.
Description
Technical Field
The invention relates to the field of data processing, in particular to a flight data processing method, a flight data processing device, a flight data storage medium and a flight data processor.
Background
At present, in order to specially rectify the normal management work of flights, civil aviation management organizations in various regions set up a plurality of assessment indexes and provide flight normal assessment rules, the assessment rules are issued in a file mode and are described in a text mode, and the flight normal assessment indexes of various departments are set up in a very different mode, so that the situation that a plurality of flight normal statistical standards are different exists at the same time is caused. Therefore, two measures are taken by the examined units such as an airline company and an airport, the first measure is to use pure manual processing, record rules in a text mode, understand the rules, calculate indexes and perform early warning through manpower, but the method has the problems of great workload, low speed and poor accuracy, so that the processing efficiency of flight data is low.
Aiming at the problem of low processing efficiency of flight data in the prior art, no effective solution is provided at present.
Disclosure of Invention
The embodiment of the invention provides a flight data processing method, a flight data processing device, a storage medium and a processor, and at least solves the technical problem of low processing efficiency of flight data.
According to an aspect of the embodiments of the present invention, there is provided a flight data processing method, including: acquiring flight data of a target flight; analyzing flight data based on assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; checking the normal level of the target flight based on the analysis result to obtain a checking result; and outputting the assessment result.
Optionally, analyzing the flight data based on the assessment rules to obtain an analysis result, including: determining an assessment object from the assessment rule, and determining whether the flight data meets the assessment object; if the flight data meets the assessment objects, determining an assessment range from the assessment rules, and determining whether the assessment objects in the flight data meet the assessment range; if the check object in the flight data meets the check range, determining at least one early warning grade from the check rule, and determining whether the value of at least one check index of the check object in the flight data meets the at least one early warning grade; and if the value of at least one assessment index is determined to meet the target early warning level in at least one early warning level, acquiring early warning information corresponding to the target early warning level, wherein the analysis result comprises the early warning information.
Optionally, before determining whether the value of the at least one assessment indicator of the assessment object satisfies the at least one early warning level, the method further comprises: and determining the value of at least one assessment index of the assessment objects in the flight data based on the at least one assessment index in the assessment rules.
Optionally, the early warning level includes a plurality of condition sets, the condition set includes a plurality of conditions, and determining whether the flight data satisfies at least one early warning level includes: and determining that the flight data meets the early warning level under the condition that the flight data meets at least one condition group, wherein the flight data meets the condition group under the condition that the flight data meets a plurality of conditions.
Optionally, after determining whether the flight data meets the assessment scope, the method further comprises: and if the flight data are determined not to meet the assessment range, the flight data are forbidden to be analyzed continuously based on the assessment rules.
Optionally, the assessment of the normal level of the target flight is performed based on the analysis result to obtain an assessment result, including: determining early warning content indicated by the early warning information; and determining the early warning content as an assessment result.
Optionally, the assessment elements comprise at least one of: the assessment rule names, assessment objects, assessment ranges, assessment indexes and early warning levels.
According to another aspect of the embodiments of the present invention, there is provided another flight data processing method, including: obtaining an assessment text; and performing structural processing on the assessment text according to the assessment elements to obtain assessment rules, wherein the assessment rules are used for analyzing flight data of the target flight to obtain an analysis result, and the analysis result is used for assessing the normal level of the target flight to obtain an assessment result.
Optionally, the assessment elements comprise at least one of: the assessment rule names, assessment objects, assessment ranges, assessment indexes and early warning levels.
According to another aspect of the embodiments of the present invention, there is provided another flight data processing method, including: displaying assessment rules on the interactive interface, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; and reading flight data of the target flight, and outputting an assessment result on the interactive interface, wherein the assessment result is obtained by analyzing the flight data based on assessment rules to obtain an analysis result and assessing the normal level of the target flight based on the analysis result.
Optionally, after the assessment rules are displayed on the interactive interface, the method further includes: adjusting the assessment rules in response to the rule adjusting instructions acting on the interactive interface; and displaying the adjusted assessment rules on the interactive interface.
According to another aspect of the embodiments of the present invention, there is also provided a flight data processing apparatus, including: the first acquisition unit is used for acquiring flight data of a target flight; the analysis unit is used for analyzing the flight data based on the assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; the assessment unit is used for assessing the normal level of the target flight based on the analysis result to obtain an assessment result; and the output unit is used for outputting the examination result.
According to another aspect of the embodiments of the present invention, there is provided another flight data processing apparatus, including: the second acquisition unit is used for acquiring the assessment text; and the processing unit is used for carrying out structural processing on the assessment texts according to the assessment elements to obtain assessment rules, wherein the assessment rules are used for analyzing flight data of the target flight to obtain an analysis result, and the analysis result is used for assessing the normal level of the target flight to obtain an assessment result.
According to another aspect of the embodiments of the present invention, there is provided another flight data processing apparatus, including: the first display unit is used for displaying the assessment rules on the interactive interface, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; and the second display unit is used for reading the flight data of the target flight and outputting the assessment result on the interactive interface, wherein the assessment result is obtained by analyzing the flight data based on the assessment rule to obtain an analysis result and assessing the normal level of the target flight based on the analysis result.
According to another aspect of the embodiment of the invention, a computer-readable storage medium is further provided, and includes a stored program, where when the program is executed by a processor, the program controls a device in which the computer-readable storage medium is located to execute the flight data processing method according to the embodiment of the invention.
According to another aspect of the embodiment of the present invention, a processor for running a program is further provided, where the program executes the processing method of flight data according to the embodiment of the present invention.
In the embodiment of the invention, flight data of a target flight is acquired; analyzing flight data based on assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; checking the normal level of the target flight based on the analysis result to obtain a checking result; and outputting the assessment result. That is to say, the assessment text is structurally processed according to the assessment elements to obtain the assessment rules, the flight data of the target flight is analyzed based on the obtained assessment rules, and the normal level of the target flight is assessed based on the analysis results, so that the assessment results of the target flight can be obtained, the purpose of maintaining the assessment rules is achieved, the problems of poor accuracy and low efficiency caused by manual flight data processing are solved, the technical problem of low flight data processing efficiency is solved, and the technical effect of improving the flight data processing efficiency is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a flight data processing method according to an embodiment of the invention;
FIG. 2 is a flow diagram of another flight data processing method according to an embodiment of the invention;
FIG. 3 is a flow chart of another flight data processing method according to an embodiment of the invention;
FIG. 4 is a schematic diagram of a structured manner of expressing assessment rules in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram of another structured way of expressing assessment rules according to an embodiment of the invention;
FIG. 6 is a schematic diagram of a flight data processing apparatus according to an embodiment of the invention;
FIG. 7 is a schematic diagram of another flight data processing apparatus according to an embodiment of the invention; and
fig. 8 is a schematic diagram of another flight data processing device according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the invention, there is provided an embodiment of a flight data processing method, it is noted that the steps shown in the flowchart of the figure may be executed in a computer system such as a set of computer executable instructions, and that while a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in an order different from that shown or described herein.
Fig. 1 is a flowchart of a flight data processing method according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
and step S102, acquiring flight data of the target flight.
In the technical solution provided in the above step S102, the flight data of the flight may be obtained through a website, an application program, and the like, and the obtained flight data may include, but is not limited to, throughput of a target flight departure airport, a national/international flight identifier, a flight type, an airline, and the like.
And S104, analyzing the flight data based on the assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements.
In the technical solution provided by the foregoing step S104, the assessment elements may include: the flight data analysis method comprises the steps of obtaining key elements such as rule names, assessment objects, assessment ranges, assessment indexes, early warning levels and assessment rules, performing structural processing on assessment texts according to the assessment elements to obtain the assessment rules, analyzing the flight data, judging whether the flight data meet the assessment rules, and obtaining analysis results.
Optionally, the assessment text of the embodiment may be flight normality assessment rules which are issued by local civil aviation authorities and described in a text manner.
And S106, checking the normal level of the target flight based on the analysis result to obtain a checking result.
In the technical solution provided in the above step S106, after the flight data of the target flight is analyzed to obtain the analysis result, the normal level of the target flight can be assessed according to the analysis result, and whether the assessment of the normal level of the target flight is successful or not is determined, and the assessment result is obtained.
And S108, outputting the assessment result.
In the technical solution provided in step S108 of the present application, after the normal level of the target flight is assessed and the assessment result is obtained, the assessment result may be output, and may be output to a display for displaying, or played through a voice player, and the like, and the form of the assessment result may be a text, an icon, a voice, and the like, and this time is not limited specifically.
Acquiring flight data of a target flight through the steps S102 to S108; analyzing flight data based on assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements; checking the normal level of the target flight based on the analysis result to obtain a checking result; and outputting the assessment result. That is to say, in the embodiment, the assessment text is structurally processed according to the assessment elements to obtain the assessment rules, the flight data of the target flight is analyzed based on the obtained assessment rules, and the normal level of the target flight is assessed based on the analysis result, so that the assessment result of the target flight can be obtained, the purpose of maintaining the assessment rules is achieved, the problems of poor accuracy and low efficiency caused by manual flight data processing are solved, the technical problem of low processing efficiency of flight data is solved, and the technical effect of improving the processing efficiency of flight data is achieved.
The above-described method of this embodiment is further described below.
As an alternative implementation, step S104, analyzing the flight data based on the assessment rules to obtain an analysis result, including: determining an assessment object from the assessment rule, and determining whether the flight data meets the assessment object; if the flight data meets the assessment objects, determining an assessment range from the assessment rules, and determining whether the assessment objects in the flight data meet the assessment range; if the check object in the flight data meets the check range, determining at least one early warning grade from the check rule, and determining whether the value of at least one check index of the check object in the flight data meets the at least one early warning grade; and if the value of at least one assessment index is determined to meet the target early warning level in at least one early warning level, acquiring early warning information corresponding to the target early warning level, wherein the analysis result comprises the early warning information.
In this embodiment, the assessment objects may include, but are not limited to, airlines, flights, airline department airports, and the like, and the assessment objects may include a plurality of assessment indicators, such as the normal rate of flights in the current month, the reverse rank of the normal rate of flights in the current month at the takeoff airport, and the like, the values of the assessment indicators may be used to determine the assessment rules, the assessment rules may include assessment ranges, such as the throughput of the planned takeoff airport is not less than 2000 ten thousand, the number of planned flights is not less than 8, and the assessment rules may further include warning levels, such as a penalty warning, a red warning, a yellow warning, and the like.
Optionally, in this embodiment, the setting of the assessment rules and the value of the assessment indicators may be different for each warning level.
Optionally, the embodiment may calculate values of all assessment indexes of the target flight by using flight data of the target flight, and the calculation method of the values of the assessment indexes may be obtained by sorting assessment files formulated by civil aviation management organizations in various regions.
Optionally, the embodiment may determine a qualification rule name for the qualification rule to identify the qualification, for example, the qualification rule name may be "qualification for the monthly flight normality rate at airport above 2000 ten thousand".
As an optional embodiment, before determining whether the value of the at least one assessment index of the assessment object satisfies the at least one early warning level, the method further comprises: and determining the value of at least one assessment index of the assessment objects in the flight data based on the at least one assessment index in the assessment rules.
In this embodiment, the assessment indexes of different assessment objects may be different, and the assessment indexes in the assessment objects may be included in the assessment indexes of the assessment rules.
As an alternative embodiment, the early warning level includes a plurality of condition sets, the condition set includes a plurality of conditions, and determining whether the flight data satisfies at least one early warning level includes: and determining that the flight data meets the early warning level under the condition that the flight data meets at least one condition group, wherein the flight data meets the condition group under the condition that the flight data meets a plurality of conditions.
In this embodiment, each early warning level may include a plurality of condition groups, each condition group may include a plurality of conditions, and when flight data satisfies a plurality of conditions included in a certain condition group in the early warning levels, the flight data also satisfies the condition groups, and at the same time, the flight data also satisfies the early warning levels including the condition groups.
Optionally, each condition of the embodiment may include an assessment index and a value range of the assessment index, where a relationship between a condition group and a condition group may be an or relationship, that is, as long as flight data meets one of the condition groups in the early warning level, the flight data meets the early warning level; the different conditions in a condition group may be in an and relationship, that is, if the flight data satisfies each condition in a condition group, the flight data satisfies the condition group.
Optionally, the flight data of this embodiment meets the warning level, and then triggers the warning.
As an optional embodiment, after determining whether the flight data meets the assessment scope, the method further comprises: and if the flight data are determined not to meet the assessment range, the flight data are forbidden to be analyzed continuously based on the assessment rules.
In the embodiment, for the flight data which does not meet the assessment range, the flight data can not be analyzed through the assessment rules, so that the flight data is screened, only the flight data which meets the assessment range is analyzed, and the efficiency of analyzing the flight data can be greatly improved.
Optionally, in this embodiment, flight data that does not satisfy the assessment objects and the early warning levels may also be processed by using the method of the above embodiment.
As an optional implementation manner, in step S106, the assessment of the normal level of the target flight is performed based on the analysis result, and the obtaining of the assessment result includes: determining early warning content indicated by the early warning information; and determining the early warning content as an assessment result.
In this embodiment, the early warning information may correspond to a target early warning level determined in the assessment rule, for example, if the target early warning level is penalty early warning, the early warning content of the corresponding early warning information may be that the normal rate of flights in the current month is less than 50%, the reverse rank of the normal rate of flights in the current month at the takeoff airport is not greater than 3, and the like; if the target early warning level is red early warning, the early warning content of the corresponding early warning information can be that the normal rate of the flights in the current month is not more than 50%, the reverse rank of the normal rate of the flights in the current month of the takeoff airport is not more than 2, or the normal rate of the flights in the current month is more than 50% and not more than 60%, the reverse rank of the normal rate of the flights in the current month of the takeoff airport is not more than 1, and the like; and if the target early warning level is yellow early warning, the early warning content of the corresponding early warning information can be that the normal rate of flights in the current month is not more than 60%, the reverse rank of the normal rate of flights in the current month of the takeoff airport is not more than 3, and the like, and then the obtained early warning content is used as an assessment result and is output.
As an optional implementation, the assessment element includes at least one of: the assessment rule names, assessment objects, assessment ranges, assessment indexes and early warning levels.
In this embodiment, the assessment rule name in the assessment element may be a name for determining the assessment rule, and is used to identify the assessment rule; the assessment objects can be various assessment units needing assessment, such as airlines, flights, airport drivers and the like; the assessment range can be used for limiting assessment objects, and only assessment objects meeting the assessment range can enter the rule judgment, for example, the assessment range can be a non-domestic independent flight line, and the flight type is domestic flight; the assessment index may be a value for determining assessment rules, for example, a difference between the non-company-reason maximum flight amount and the company-reason flight amount; the early warning level can be multi-level early warning and is used for judging the assessment result, such as punishment early warning, red early warning, yellow early warning and the like.
The embodiment of the invention also provides another flight data processing method.
Fig. 2 is a flowchart of another shift data processing method according to an embodiment of the present invention. As shown in fig. 2, the method may include the steps of:
and step S202, obtaining assessment texts.
In the technical solution provided in step S202 of the present application, the assessment text may be a flight normality assessment policy which is provided by a local civil aviation management organization and is described in a text manner.
And S204, carrying out structural processing on the assessment texts according to the assessment elements to obtain assessment rules, wherein the assessment rules are used for analyzing flight data of the target flight to obtain an analysis result, and the analysis result is used for assessing the normal level of the target flight to obtain an assessment result.
In the technical scheme provided by the above step S204, after the assessment text is obtained, the obtained assessment text may be structurally processed according to assessment elements, so that assessment rules may be obtained, and then flight data of the multi-target flight is analyzed according to the assessment rules, whether the flight data meets the assessment rules is determined, and the obtained analysis result may assess the normal level of the target flight, and determine whether the normal level of the target flight is successfully assessed.
The above-described method of this embodiment is further described below.
As an optional implementation, the assessment element includes at least one of: the assessment rule names, assessment objects, assessment ranges, assessment indexes and early warning levels.
In this embodiment, the assessment rule name in the assessment element may be a name for determining the assessment rule, and is used to identify the assessment rule; the assessment objects can be various assessment units needing assessment, such as airlines, flights, airport drivers and the like; the assessment range can be used for limiting assessment objects, and only assessment objects meeting the assessment range can enter the rule judgment, for example, the assessment range can be a non-domestic independent flight line, and the flight type is domestic flight; the assessment index may be a value for determining assessment rules, for example, a difference between the non-company-reason maximum flight amount and the company-reason flight amount; the early warning level can be multi-level early warning and is used for judging the assessment result, such as punishment early warning, red early warning, yellow early warning and the like.
The embodiment of the invention also provides another flight data processing method from the user interaction angle.
Fig. 3 is a flow chart of another flight data processing method according to an embodiment of the invention. As shown in fig. 3, the method may include the steps of:
and S302, displaying assessment rules on the interactive interface, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements.
In the technical scheme provided by the step S302, after the assessment text is structurally processed according to the assessment elements to obtain the assessment rules, the obtained assessment rules can be displayed on the interactive interface, so that the user can check and adjust the assessment rules more intuitively, and the user can assess flight data according to the assessment rules displayed on the interactive interface. According to the embodiment, the assessment rules are displayed on the interactive interface, the problem that the assessment rules cannot be maintained due to the fact that the assessment rules cannot be checked is solved, the technical problem that the assessment rules cannot be maintained is solved, and the technical effect that the assessment rules can be maintained is achieved.
Step S304, reading flight data of the target flight, and outputting an assessment result on the interactive interface, wherein the assessment result is obtained by analyzing the flight data based on assessment rules to obtain an analysis result and assessing the normal level of the target flight based on the analysis result.
In the technical scheme provided by the above step S304, after the flight data of the target flight is read, the flight data of the target flight is analyzed according to the assessment rules, and the normal level of the target flight is assessed based on the analysis result, so that the assessment result of the target flight can be obtained, and then the assessment result is displayed on the interactive interface, so that the user can more intuitively see the assessment result, know the risk in advance according to the assessment result, and take measures to deal with the situation.
Alternatively, the embodiment may read flight data for the targeted flight on the interactive interface.
The above-described method of this embodiment is further described below.
As an optional implementation manner, after the assessment rules are displayed on the interactive interface, the method further includes: adjusting the assessment rules in response to the rule adjusting instructions acting on the interactive interface; and displaying the adjusted assessment rules on the interactive interface.
In this embodiment, after the assessment rules are displayed on the interactive interface, if the assessment rules viewed by the user need to be adjusted, a rule adjustment instruction may be sent on the interactive interface, and after responding to the instruction, the assessment rules may be adjusted and the adjusted assessment rules may be displayed on the interactive interface.
Optionally, the embodiment may continue to perform the re-judgment on the adjusted assessment rule by using the method, and if the adjusted assessment rule needs to be adjusted, the rule adjustment instruction may be sent again, so as to adjust the adjusted assessment rule again until the assessment rule meets the requirement of the user.
The embodiment realizes the purpose of rapidly maintaining the assessment rules by directly checking and adjusting the assessment rules on the interactive interface, solves the technical problem of low efficiency of maintaining the assessment rules, and achieves the technical effect of improving the efficiency of maintaining the assessment rules.
In a related technology, when flight data is processed, pure manual processing is adopted, rules are recorded in a text mode, the rules are understood and calculated manually, and early warning is carried out.
In another related technology, when flight data is processed, main assessment rules of part of key supervision departments are directly embodied in processing logic, but in the method, a user can only see operation results of indexes in a system and cannot see the assessment rules, so that the assessment rules cannot be maintained.
The flight data processing method can be compatible with all the current assessment rules, the assessment rules of different assessment objects can be shared as long as the extracted assessment indexes exist, the assessment rules are maintained in a structured mode, the method is very simple and visual, the purpose of maintaining the assessment rules is achieved, a user can freely combine and add new assessment rules by using the existing assessment indexes, the threshold values of the assessment indexes can be changed according to needs, the assessment rules can be automatically calculated, the method is convenient to use an information system to achieve, and the user is enabled to directly and dynamically adjust the assessment rules in a visual mode. Because the method and the device support multi-level early warning, the user can know the risk in advance and react before being punished, the problems of poor accuracy and low efficiency caused by manual mode for flight data processing are avoided, the technical problem of low processing efficiency of flight data is solved, and the technical effect of improving the processing efficiency of the flight data is achieved.
Example 2
The method for processing flight data according to the embodiment of the present invention is specifically described below with reference to preferred embodiments.
FIG. 4 is a schematic diagram of a structured manner of expressing assessment rules according to an embodiment of the present invention.
As shown in fig. 4, the assessment rule of the assessment rule is named as "assessment of the normal rate of flights in the current month at an airport above 2000 ten thousand", the assessment object is "flight", and the assessment range is "take-off airport throughput" 2000 ten thousand; national/international flight identity is national; passenger and freight types are passenger transport; and the estimated total flight number > is 8', in the schematic diagram, assessment ranges can be added independently, and after the content of assessment rules is determined, a determination button can be clicked, so that the content of the assessment rules can be stored, and the normal rate of flights in the current month of an airport of more than 2000 ten thousands can be assessed according to the assessment rules.
In the embodiment, the assessment rule name, the assessment object and the assessment range of the assessment rule can be input on the interactive interface, so that the aim of maintaining the assessment rule can be fulfilled, the problem that the assessment rule cannot be maintained due to the fact that the assessment rule cannot be checked is solved, the technical problem that the assessment rule cannot be maintained is solved, and the technical effect of maintaining the assessment rule is achieved.
FIG. 5 is a schematic diagram of another structured way of expressing assessment rules according to an embodiment of the invention.
As shown in fig. 5, the assessment indexes of the assessment rule are "assessment of the normal rate of flights in the current month in airport over 2000 ten thousand", and "assessment objects: the flight monitoring system comprises assessment indexes of flights, wherein the early warning grades comprise a penalty early warning and a red early warning, wherein the penalty early warning comprises a condition group, and the conditions in the condition group comprise that the flight normal rate is less than 50; the difference between the maximum non-company-reason flight volume and the company-reason flight volume is less than 0; the flight normal rate reverse rank is less than or equal to 3 ', the red early warning comprises two condition groups, and the condition in the first condition group comprises' non-company-reason maximum flight quantity-company-reason flight quantity difference value is less than or equal to 2; the flight normal rate is 50 ", and the conditions in the second condition group include" maximum non-corporate-cause flight volume — difference of corporate-cause flight volume is 1; in the schematic diagram, the assessment indexes can be edited, the condition groups can be added independently, and the conditions in the condition groups can be added and deleted by self.
In this embodiment, after the examination rule name, the examination object, and the examination range of the examination rule are input in the interface shown in fig. 4, the corresponding examination index and the early warning level can be input according to the examination object, and both the examination index and the early warning level of the examination rule can be input on the interactive interface, so that the purpose of maintaining the examination rule can be achieved, the problem that the examination rule cannot be maintained due to the fact that the examination rule cannot be checked is solved, the technical problem that the examination rule cannot be maintained is solved, and the technical effect of maintaining the examination rule is achieved.
The following describes an example of a method for performing structured maintenance on assessment rules in the flight data processing method in embodiment 1.
For example, the first examination rule of the examination rules of the civil aviation administration has the following characters: "the departure flight in the current month is less than 50% (not contained), 3 bits after ranking, and the reason of the airline company is the highest (including parallel), and the flight time is cancelled from the 2 nd month after the notification (not contained). Flights below 8 flights per month (not included) or within a domestic single flight segment are not statistically ranged ". According to the above description of the assessment rules, the following key elements can be extracted, and the assessment rules are expressed in the following structural mode:
key elements:
rule name: "the normal rate of flights in the current month in airport more than 2000 ten thousand is assessed"; the assessment objects are as follows: "flight"; the assessment range is as follows: "planned takeoff airport throughput > -2000 ten thousand; domestic international is domestic; passenger transport freight is passenger transport; the number of scheduled flights > 8; no in domestic single flight line; the assessment indexes are as follows: the normal rate of flights in the current month, the reverse ranking of the normal rate of flights in the current month of the takeoff airport, the highest flight quantity of non-company reasons and the difference value of the flight quantity of company reasons; early warning grade: punishment early warning, red early warning and yellow early warning. Wherein, the early warning grade is set as:
punishment early warning:
flight normal rate in the current month is less than 50%; the normal rate reverse rank of the current-month flights of the takeoff airport is less than or equal to 3; the difference between the non-company-reason maximum flight volume and the company-reason flight volume is less than 0.
Red early warning:
the normal takeoff rate of the current-month flight is less than 50 percent; the difference value between the non-company-reason maximum flight volume and the company-reason flight volume is less than 2; or, the normal rate of departure of 50% < the current flight is less than 60%; the difference between the non-company-reason maximum flight volume and the company-reason flight volume is < 1.
Yellow early warning:
the normal takeoff rate of the current-month flight is less than 60 percent; 2< the difference between the non-corporate-reason maximum flight volume and the corporate-reason flight volume < ═ 3.
In this embodiment, by using the above structured method, through the permutation and combination of the relevant key elements, 30 assessment items existing in each civil aviation management department at present can be performed, 56 indicators are all subjected to structured processing, an assessment rule is obtained, and the assessment rule subjected to structured processing can be maintained as required.
Example 3
The embodiment of the invention also provides a flight data processing device. It should be noted that the flight data processing device of this embodiment may be used to execute the flight data processing method shown in fig. 1 of the embodiment of the present invention.
Fig. 6 is a block diagram of a flight data processing apparatus according to an embodiment of the present invention. As shown in fig. 6, the flight data processing device 60 may include: a first acquisition unit 61, an analysis unit 62, an examination unit 63, and an output unit 64.
A first obtaining unit 61, configured to obtain flight data of a target flight;
the analysis unit 62 is configured to analyze the flight data based on the assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements;
the assessment unit 63 is used for assessing the normal level of the target flight based on the analysis result to obtain an assessment result;
and the output unit 64 is used for outputting the examination result.
The embodiment of the invention also provides another flight data processing device. It should be noted that the flight data processing device of this embodiment may be used to execute the flight data processing method shown in fig. 2 of the embodiment of the present invention.
Fig. 7 is a block diagram of another flight data processing apparatus according to an embodiment of the present invention. As shown in fig. 7, the flight data processing device 70 may include: a second acquisition unit 71 and a processing unit 72.
A second obtaining unit 71, configured to obtain an assessment text;
and the processing unit 72 is configured to perform structural processing on the assessment text according to the assessment elements to obtain assessment rules, where the assessment rules are used to analyze flight data of the target flight to obtain an analysis result, and the analysis result is used to assess the normal level of the target flight to obtain an assessment result.
The embodiment of the invention also provides another flight data processing device. It should be noted that the flight data processing device of this embodiment may be used to execute the flight data processing method shown in fig. 3 of the embodiment of the present invention.
Fig. 8 is a block diagram of another flight data processing apparatus according to an embodiment of the present invention. As shown in fig. 8, the flight data processing device 80 may include: a first display unit 81 and a second display unit 82.
The first display unit 81 is used for displaying assessment rules on the interactive interface, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements;
the second display unit 82 is configured to read flight data of the target flight and output an assessment result on the interactive interface, where the assessment result is obtained by analyzing the flight data based on an assessment rule to obtain an analysis result and assessing the normal level of the target flight based on the analysis result.
The flight data processing device of the embodiment obtains the check rules by performing structured processing on the check texts according to the check elements, analyzes the flight data of the target flight based on the obtained check rules, and checks the normal level of the target flight based on the analysis results, so that the check results of the target flight can be obtained, the purpose of maintaining the check rules is achieved, the problems of poor accuracy and low efficiency caused by manual flight data processing are solved, the technical problem of low processing efficiency of the flight data is solved, and the technical effect of improving the processing efficiency of the flight data is achieved.
Example 4
According to an embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program executes the flight data processing method in embodiment 1 of the present invention.
Example 5
According to an embodiment of the present invention, there is also provided a processor, configured to execute a program, where the program executes a processing method of flight data in embodiment 1 of the present invention.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or models, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
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, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (16)
1. A method for processing flight data, comprising:
acquiring flight data of a target flight;
analyzing the flight data based on assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements;
checking the normal level of the target flight based on the analysis result to obtain a checking result;
and outputting the assessment result.
2. The method of claim 1, wherein analyzing the flight data based on qualifying rules to obtain analysis results comprises:
determining an assessment object from the assessment rule, and determining whether the flight data meets the assessment object;
if the flight data meet the assessment objects, determining assessment ranges from the assessment rules, and determining whether the assessment objects in the flight data meet the assessment ranges;
if the assessment objects in the flight data meet the assessment range, determining at least one early warning grade from the assessment rule, and determining whether the value of at least one assessment index of the assessment objects in the flight data meets the at least one early warning grade;
and if the value of the at least one assessment index is determined to meet a target early warning grade in the at least one early warning grade, acquiring early warning information corresponding to the target early warning grade, wherein the analysis result comprises the early warning information.
3. The method of claim 2, wherein prior to determining whether a value of at least one qualifying indicator of the qualifying object satisfies the at least one early warning level, the method further comprises:
and determining the value of at least one assessment index of the assessment object in the flight data based on at least one assessment index in the assessment rule.
4. The method of claim 2, wherein the early warning level comprises a plurality of condition sets, the condition sets comprising a plurality of conditions, and wherein determining whether the flight data satisfies the at least one early warning level comprises:
determining that the flight data satisfies the early warning level if the flight data satisfies at least one of the set of conditions, wherein the flight data satisfies the set of conditions if the flight data satisfies the plurality of conditions.
5. The method of claim 2, wherein after determining whether the flight data meets the qualifying range, the method further comprises:
and if the flight data are determined not to meet the assessment scope, prohibiting the flight data from being analyzed continuously based on the assessment rule.
6. The method of claim 2, wherein assessing the normal level of the target flight based on the analysis results to obtain assessment results comprises:
determining early warning content indicated by the early warning information;
and determining the early warning content as the assessment result.
7. The method of any one of claims 1 to 6, wherein the assessment elements comprise at least one of: the assessment rule names, assessment objects, assessment ranges, assessment indexes and early warning levels.
8. A method for processing flight data, comprising:
obtaining an assessment text;
and carrying out structural processing on the assessment texts according to assessment elements to obtain assessment rules, wherein the assessment rules are used for analyzing flight data of the target flight to obtain analysis results, and the analysis results are used for assessing the normal level of the target flight to obtain assessment results.
9. The method of claim 8, wherein the assessment elements comprise at least one of: the assessment rule names, assessment objects, assessment ranges, assessment indexes and early warning levels.
10. A method for processing flight data, comprising:
displaying assessment rules on an interactive interface, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements;
and reading flight data of the target flight, and outputting an assessment result on the interactive interface, wherein the assessment result is obtained by analyzing the flight data based on the assessment rule to obtain an analysis result and assessing the normal level of the target flight based on the analysis result.
11. The method of claim 10, wherein after displaying the qualification rules on the interactive interface, the method further comprises:
adjusting the assessment rules in response to a rule adjusting instruction acting on the interactive interface;
and displaying the adjusted assessment rules on the interactive interface.
12. A flight data processing apparatus, comprising:
the first acquisition unit is used for acquiring flight data of a target flight;
the analysis unit is used for analyzing the flight data based on assessment rules to obtain an analysis result, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements;
the assessment unit is used for assessing the normal level of the target flight based on the analysis result to obtain an assessment result;
and the output unit is used for outputting the assessment result.
13. A flight data processing apparatus, comprising:
the second acquisition unit is used for acquiring the assessment text;
and the processing unit is used for carrying out structural processing on the assessment texts according to assessment elements to obtain assessment rules, wherein the assessment rules are used for analyzing flight data of the target flight to obtain analysis results, and the analysis results are used for assessing the normal level of the target flight to obtain assessment results.
14. A flight data processing apparatus, comprising:
the first display unit is used for displaying assessment rules on the interactive interface, wherein the assessment rules are obtained by performing structural processing on assessment texts according to assessment elements;
and the second display unit is used for reading flight data of the target flight and outputting an assessment result on the interactive interface, wherein the assessment result is obtained by analyzing the flight data based on the assessment rule to obtain an analysis result and assessing the normal level of the target flight based on the analysis result.
15. A computer-readable storage medium, comprising a stored program, wherein the program, when executed by a processor, controls an apparatus in which the computer-readable storage medium is located to perform the method of any of claims 1-11.
16. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 11.
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| CN115965296A (en) * | 2023-03-17 | 2023-04-14 | 建信金融科技有限责任公司 | Assessment data processing method, device, equipment, product and readable storage medium |
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