Optimization auxiliary system and method of flight management system, electronic equipment and readable storage medium

Abstract

The invention provides an optimization auxiliary system and method for a flight management system, electronic equipment and a readable storage medium, an alarm unit obtains a processing result based on user experience data and sends alarm information to the user experience data which does not meet a preset rule in the processing result, and a display unit collects and displays the user experience data to be displayed. The to-be-displayed user experience data comprises the user experience data before and after optimization of the flight management system, so that the flight management system can be optimized based on the alarm information, the optimization effect can be obtained based on the user experience data before and after optimization, and the purpose of optimizing the flight management system based on the user experience data is achieved.

Description

Technical Field

[0001] The present application relates to the field of electronic information, and in particular to an optimization auxiliary system and method, electronic equipment, and readable storage medium for a flight management system. Background Art

[0002] A flight management system can be understood as an information system used by airlines to manage flights.

[0003] In the current information technology field, user experience is becoming more and more important. One of the goals of flight management system optimization is to enable airlines to obtain a better user experience of the flight management system.

[0004] At present, how to optimize the flight management system based on user experience data is a problem that needs to be solved. Summary of the invention

[0005] The present application provides an optimization auxiliary system and method for a flight management system, an electronic device, and a readable storage medium, with the purpose of solving the problem of how to optimize the flight management system based on user experience data.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] A first aspect of the present application provides an optimization assistance system for a flight management system, comprising:

[0008] Alarm unit and display unit;

[0009] The alarm unit includes: a monitoring indicator calculation and collection component, and an alarm component;

[0010] The monitoring indicator calculation and collection component is used to obtain user experience data from at least one server, and obtain a processing result based on the user experience data, wherein the processing result includes an indicator, and the indicator includes: access volume, average response time, maximum response time, shortest response time, or error rate;

[0011] The alarm component issues an alarm message for the user experience data in the processing result that does not meet the preset rules;

[0012] The display unit includes: a display index collection component and a display component;

[0013] The display index collection component is used to collect user experience data to be displayed, and the user experience data to be displayed includes first user experience data and second user experience data, the first user experience data includes user experience data after the flight management system is optimized based on the warning information, and the second user experience data is user experience data before optimization;

[0014] The display component is used to display the user experience data to be displayed.

[0015] A second aspect of the present application provides an optimization assistance method for a flight management system, comprising:

[0016] Acquire user experience data from at least one server, and obtain processing results based on the user experience data, wherein the processing results include indicators, including: number of visits, average response time, maximum response time, shortest response time, or error rate;

[0017] Issue warning information for user experience data in the processing results that do not meet the preset rules;

[0018] Collecting user experience data to be displayed, the user experience data to be displayed includes first user experience data and second user experience data, the first user experience data includes user experience data after the flight management system is optimized based on the warning information, and the second user experience data is user experience data before optimization;

[0019] The user experience data to be displayed is displayed.

[0020] A third aspect of the present application provides an electronic device, including:

[0021] Memory and processor;

[0022] The memory is used to store a computer program, and the processor is used to run the computer program to implement the optimization assistance method for a flight management system provided in the second aspect of the present application.

[0023] The fourth aspect of the present application provides a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the optimization assistance method for the flight management system provided by the second aspect of the present application.

[0024] The embodiments of the present application disclose an optimization auxiliary system and method for a flight management system, wherein an alarm unit obtains a processing result based on user experience data, issues an alarm message for user experience data in the processing result that does not satisfy a preset rule, and a display unit collects and displays user experience data to be displayed, wherein the user experience data to be displayed includes user experience data before and after the optimization of the flight management system. Therefore, not only can the flight management system be optimized based on the alarm information, but also the optimization effect can be known based on the user experience data before and after the optimization, thereby achieving the purpose of optimizing the flight management system based on user experience data. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0026] Figure 1 A schematic diagram of the structure of an optimization auxiliary system for a flight management system disclosed in an embodiment of the present application;

[0027] Figure 2 A schematic diagram of the specific structure of each component of an alarm unit in an optimization auxiliary system of a flight management system disclosed in an embodiment of the present application;

[0028] Figure 3 A flowchart of issuing warning information in an optimization auxiliary method of a flight management system disclosed in an embodiment of the present application;

[0029] Figure 4 A schematic diagram of the specific structure of each component of a display unit in an optimization auxiliary system of a flight management system disclosed in an embodiment of the present application;

[0030] Figure 5 A flowchart showing user experience data in an optimization auxiliary method for a flight management system disclosed in an embodiment of the present application;

[0031] Figure 6 A schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0032] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0033] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0034] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0035] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0036] The user experience data of the flight management system can be understood as the relevant data generated by the operation of the flight management system when the airline uses the flight management system for operation.

[0037] During the research process, the inventor discovered that optimizing the flight management system based on the user experience data of the flight management system is more objective and intuitive. For example, the user experience data analysis results can intuitively reflect the response time of a certain business, thereby objectively and intuitively reflecting the response delay of the flight management system to the business, thereby providing direction for optimizing the flight management system, and being able to compare the user experience data before and after optimization to obtain intuitive optimization effects.

[0038] The embodiment of the present application provides an optimization auxiliary system for a flight management system, such as Figure 1 As shown, it includes: an alarm unit and a display unit.

[0039] The alarm unit is used to issue alarm information for user experience data that does not meet the preset rules. The display unit is used to display system data. Among them, the system data is the user experience data of the flight management system. It can be understood that users (such as airline personnel) use the flight management system to implement business, and the user experience data includes but is not limited to the relevant data generated during the use of the flight management system.

[0040] The optimization assistance of the system for the flight management system is reflected in that relevant personnel optimize the flight management system based on the alarm information, and the display unit can display the user experience data before and after the optimization, so as to provide an intuitive user experience comparison, which can not only assist personnel to know the optimization direction based on the alarm information, but also enable personnel to intuitively know the optimization effect.

[0041] The alarm unit includes: monitoring indicator calculation and collection components, time series storage components and alarm components.

[0042] The monitoring indicator calculation and collection component is used to collect user experience data from the flight management system. The time series storage component is used to store the collected user experience data. The alarm component is used to issue an alarm for the user experience data that meets the alarm rules based on the preset alarm rules.

[0043] The display unit is used to display user experience data. The display unit includes: display indicator collection component, big data processing component and display component.

[0044] The display index collection component is used to collect the user experience data to be displayed. The big data processing component is used to perform preset processing on the collected user experience data to be displayed to obtain the processing results. The display component is used to display the processing results.

[0045] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0046] The following will Figure 1 The functions of each unit shown are explained.

[0047] In some implementations, the specific structures of the components in the alarm unit are as follows: Figure 2 As shown in the figure, the monitoring indicator calculation and collection components include the crontab job setting subcomponent, the ansible playbook call subcomponent, the target node indicator calculation subcomponent, and the result parsing and aggregation subcomponent. The time series storage component includes the influxDB writing subcomponent and the file archiving subcomponent. The alarm component includes the grafana monitoring subcomponent, the grafana alarm subcomponent, and the access subcomponent.

[0048] Combination Figure 1 and Figure 2 , Figure 3 The process of the alarm unit issuing an alarm message for user experience data that does not meet the preset rules includes the following steps:

[0049] S11. The monitoring indicator calculation and collection components configure the target server.

[0050] The target server is at least one server in the flight management system. The target server executes the corresponding process in response to the use of the flight management system, thereby generating log data. In this embodiment, in order to fully and accurately obtain the user experience, the user experience data is obtained based on the log data of the target server.

[0051] In some implementations, the target server is configured by: sending a calculation script file to the target server, the calculation script file is used to run on the target server to trigger the target server to obtain user experience data. Sending a collection frequency to the target server, so that the target server sends the obtained user experience data to the monitoring indicator calculation and collection component at the collection frequency.

[0052] Combination Figure 2 The structure shown, further, the configuration process of the target server includes: crontab job setting subcomponent setting task, the task includes calculation script file, the calculation script file instructs to collect user experience data from the server of the flight management system, and the task also includes collection frequency, where the collection frequency is taken as every minute. Set the target node indicator calculation subcomponent on the target server. Ansible playbook calls the subcomponent to distribute the task to the target node indicator calculation subcomponent in the target server.

[0053] It can be understood that the above configuration can achieve non-intrusion to the program running on the target server, thereby reducing the impact on the program running on the target server.

[0054] S12. The monitoring indicator calculation and collection component obtains user experience data and obtains processing results based on the user experience data.

[0055] Combination Figure 2 In the structure shown, the target node indicator calculation subcomponent performs calculations based on the received tasks and the log data of the target server to obtain user experience data.

[0056] In some implementations, the calculation method includes: calculating indicators under preset dimensions. The preset dimensions include but are not limited to: IP address of the target server, airline, business module, function name, and execution action.

[0057] Metrics include but are not limited to: number of visits, average response time, maximum response time, minimum response time, and error rate.

[0058] For example, the average response time of a target server of a certain IP address is calculated based on log data. Another example is the maximum response time of a ticket query operation is calculated based on log data.

[0059] The target node indicator calculation subcomponent sends the calculated indicators to the result analysis and aggregation subcomponent. The result analysis and aggregation subcomponent analyzes and aggregates the indicators obtained by each target node indicator calculation subcomponent to obtain the processing result.

[0060] An example of the processing result is shown in Table 1:

[0061] Table 1

[0062]

[0063] That is to say, each processing result includes the parameters shown in Table 1, where the specific content of the collected indicators indicates which type of indicator the user experience data is. IP, airline, function, and action are the dimensions corresponding to the user experience data. Function can be understood as a specific business operation, such as the menu / tab page selected by the user on the website. Action refers to an action performed by the user, which results in the generation of user experience data.

[0064] In addition to the above parameters, Table 1 also includes other parameters such as log path. For specific functions, please refer to the description in Table 1.

[0065] S13. The monitoring indicator calculation and collection component stores the processing results.

[0066] In some implementations, the processing results are archived into temporary files to facilitate subsequent data analysis and query.

[0067] S14. The time series storage component writes the processing results into the time series database.

[0068] The purpose of the time series storage component writing the processing results to the time series database is to achieve persistent storage of the processing results. The time series database can efficiently store and manage a large amount of time series data, providing support for subsequent data analysis and query. At the same time, in order to back up and preserve data for a long time, temporary files will also be archived in case of emergency.

[0069] Combination Figure 2 In the structure shown, the influxDB writing subcomponent stores the results returned by this task in the time series database, and the file archiving subcomponent archives the results returned by this task to generate archive logs. When a problem occurs in the database, the archive log of the corresponding date can be found and rewritten into the database to restore the data of the specified date.

[0070] S15. The alarm component issues an alarm message for the user experience data in the processing result that does not meet the preset rules.

[0071] Combination Figure 2 In the structure shown, the grafana monitoring subcomponent configures an alarm data source, which is at least one target server. If the indicators collected from the alarm data source meet the preset alarm rules, an alarm prompt is required.

[0072] The grafana monitoring subcomponent also provides the function of configuring the monitoring panel. At least one indicator corresponds to a monitoring panel. It is understood that if the indicator meets the alarm rule, the alarm information of the indicator will be displayed on the corresponding monitoring panel. Examples of monitoring panels include: user experience time, flight-related-response time, flight-related-error rate, access volume and other monitoring panels. It is understood that the result returned by the above task is the original data of the processing result including the timestamp, and the parameters described in Table 1 describe the meaning of each item of the original data of the processing result. The monitoring panel uses the original data of the processing result for group display.

[0073] In some implementations, preset alarm rules are configured for the monitoring panel, and when the indicators corresponding to the monitoring panel meet the alarm rules corresponding to the monitoring panel, the grafana alarm subcomponent displays the alarm information on the monitoring panel.

[0074] The access subcomponent sends the alarm information to the internal monitoring alarm platform. The internal monitoring alarm platform is a platform for displaying various alarm information. That is to say, in this embodiment, the alarm information of the user experience data is also obtained by the internal monitoring alarm platform as a kind of various alarm information, so that the internal monitoring alarm platform can make various responses to the alarm information, such as sending an alarm SMS or calling the corresponding personnel. The personnel can optimize the flight management system based on the alarm information.

[0075] The alarm process provided in this embodiment is conducive to obtaining abnormal user experience in real time and lays a foundation for the optimization of the flight management system.

[0076] Figure 4 To display the specific structure of each component in the unit, the indicator collection component includes: filebeat collection subcomponent and kafka queue. The big data processing component includes: storm job processing subcomponent, mapreduce job processing subcomponent, and Hbase storage subcomponent. The display component includes: Vue front-end display page subcomponent and indicator query service subcomponent.

[0077] Combination Figure 1 and Figure 4 , Figure 5 The process of displaying user experience data for a display unit includes the following steps:

[0078] S21. The display indicator collection component obtains the log data of the target server in real time.

[0079] Combination Figure 4 In the structure shown, the filebeat collection subcomponent uses the filebeat tool to collect log data from the target server in real time and stores the collected log data in the kafka queue.

[0080] It can be understood that when collecting log data at a preset frequency, first log data and second log data are collected, the first log data is the log data before optimization, and the second log data is the log data after optimization.

[0081] S22. The big data processing component processes the log data to obtain a big data processing result.

[0082] Combination Figure 4 In the structure shown, the Storm job processing subcomponent receives data from the Kafka queue by calling the Storm real-time processing engine, and the Hbase storage subcomponent stores the data in the Kafka queue in the HBase database.

[0083] The mapreduce job processing subcomponent performs big data processing and analysis on the data in the HBase database, obtains big data processing results, and stores the big data processing results in the HBase database for subsequent display and analysis.

[0084] The results of big data processing include: indicators in various dimensions. Take Table 2 as an example:

[0085] Table 2

[0086] Display dimensions and indicators illustrate Airline Business Type Function Execute an action Statistical period Day / month / week, date range Contribution Indicates the percentage of actions / functions executed index

[0087] The description of the parameters in Table 2 that are the same as those in Table 1 can be found in Table 1. In addition, the statistical period represents the statistical period of the indicator.

[0088] It can be understood that the indicators obtained in this step, such as Table 2, have the same calculation dimensions as the indicators in the processing results obtained in S12, so as to better reflect the improved effect based on the alarm information.

[0089] In some implementations, in this step, in addition to obtaining the processing results shown in Table 2, the following big data processing results can also be obtained based on the MapReduce job tool:

[0090] 1. Call the logas_business_searchCondition_mapreduce job tool to obtain indicators based on the Function and Action dimensions, and store them in the behavior record table in JSON format as user behavior query conditions for front-end use.

[0091] It can be understood that Function represents the business modules covered by the website, such as flight management module, flight plan module, etc., and Action represents the specific business operations under a certain business module, such as flight query, flight plan change, etc. The indicators of the Function dimension are the indicators related to the business module, and the indicators of the Action dimension are the indicators related to the specific business operations.

[0092] 2. By calling the logas_user_login_statistics_mapreduce job tool, obtain daily user login statistics, such as information about users who log in daily, and store the daily user login statistics in the user login record table for front-end query. It can be understood that the first log data and the second log data of at least one server are processed separately to obtain a big data processing result. The big data processing result includes a first value of the indicator and a second value of the indicator, the first value is the indicator obtained from the first log data, and the second value is the indicator obtained from the second log data.

[0093] S23. The display component displays the big data processing results.

[0094] Combination Figure 4 In the structure shown, the Vue front-end display page subcomponent calls the interface provided by HBase-client, queries the HBase database through Zookeeper, parses the big data processing results in the HBase database, and displays them on the front-end page.

[0095] The indicator query service subcomponent displays the query results based on the query operation. It can be understood that the query operation can query the indicators based on various parameters such as Table 2, and can also query based on the behavior record table and the user login record table, so it has a higher query granularity and can support more flexible queries.

[0096] It is understandable that based on Figure 5 The process shown can display the indicators of the preset statistical period, thus laying the foundation for comparing the indicators before and after the optimization of the flight management system.

[0097] It can be understood that based on the above-mentioned alarm process and display process, alarm information can be generated based on the user experience data generated by users using the flight management system, so that personnel can optimize the flight management system based on the alarm information, and the indicators before and after the optimization can be displayed, thereby not only achieving targeted optimization, but also being able to intuitively display the comparison of indicators before and after optimization to demonstrate the effect of the optimization. In addition, both users (such as airline personnel) and R&D personnel can obtain intuitive optimization effects, which are guided by comparative data and are conducive to enhancing the objectivity of the optimization effect.

[0098] Therefore, specifically, the optimization auxiliary system of the flight management system provided by the embodiment of the present application has the following beneficial effects:

[0099] First, it supports closed-loop management of user experience indicators (i.e. parameters) display, subscription, and monitoring for the entire link (client and server). This means that from the user's initial operation on the client to the response of the backend service, as long as the log data can be recorded, the user experience indicators of each link can be tracked and monitored. This not only includes key indicators such as the proportion of business at all levels, business response time and execution frequency, but also can display frequently occurring error codes, providing rich data support for system optimization.

[0100] Secondly, this monitoring method does not invade the applications running on the server and has no impact on the daily work of users. It is highly versatile and has low development costs. This means that when implementing this monitoring system, there is no need to make large-scale modifications or adjustments to existing applications, thereby minimizing the impact on users' daily work. At the same time, this versatility makes the system not only suitable for the airline industry, but also widely used in other fields.

[0101] Finally, the optimization system can be connected to the internal monitoring and alarm platform (i.e., the unified monitoring and alarm platform). This greatly improves emergency response, fault self-healing, and feedback optimization. By connecting to the internal monitoring and alarm platform, once a problem or fault occurs, emergency response can be quickly carried out to quickly restore the normal operation of the system. At the same time, through the optimization and analysis of feedback data, the user experience and service quality can be further improved.

[0102] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0103] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0104] Although operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown or in a sequential order.Multitasking and parallel processing may be advantageous under certain circumstances.

[0105] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0106] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0107] An embodiment of the present application further discloses an electronic device, including: a memory and a processor.

[0108] The memory is used to store a computer program, and the processor is used to run the computer program to implement the above-mentioned optimization assistance method for the flight management system.

[0109] It is understandable that the electronic device is Figure 6 For example, in addition to a memory and a processor, an electronic device also includes an input device such as a keyboard, an output device such as a display, and a communication module. The input device, the output device, and the communication module communicate with the processor through an I / O interface (i.e., an input / output interface).

[0110] An embodiment of the present application further discloses a readable storage medium. When instructions in the readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the above-mentioned optimization assistance method for a flight management system.

[0111] In the context of the present disclosure, a readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0112] It should be noted that the above-mentioned readable medium of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above. The above computer readable medium may be contained in the above electronic device; or it may exist alone without being assembled into the electronic device.

[0113] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processing device, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0114] According to one or more embodiments of the present application, the present application discloses an optimization auxiliary system for a flight management system, including:

[0115] Alarm unit and display unit;

[0116] The alarm unit includes: a monitoring indicator calculation and collection component, and an alarm component;

[0117] The monitoring indicator calculation and collection component is used to obtain user experience data from at least one server, and obtain a processing result based on the user experience data, wherein the processing result includes an indicator, and the indicator includes: access volume, average response time, maximum response time, shortest response time, or error rate;

[0118] The alarm component issues an alarm message for the user experience data in the processing result that does not meet the preset rules;

[0119] The display unit includes: a display index collection component and a display component;

[0120] The display index collection component is used to collect user experience data to be displayed, and the user experience data to be displayed includes first user experience data and second user experience data, the first user experience data includes user experience data after the flight management system is optimized based on the warning information, and the second user experience data is user experience data before optimization;

[0121] The display component is used to display the user experience data to be displayed.

[0122] In some implementations, the monitoring indicator calculation and collection component is further used to:

[0123] A calculation script file and a collection frequency are sent to the at least one server, wherein the calculation script file triggers the acquisition of the user experience data after the at least one server is run, and the collection frequency represents the frequency of sending the user experience data to the monitoring indicator calculation and collection component.

[0124] In some implementations, the monitoring indicator calculation and collection component is used to obtain user experience data from at least one server, including:

[0125] The target node indicator calculation subcomponent is used to perform calculation based on the received task and the log data of the at least one server to obtain the user experience data, wherein the calculation includes: calculating indicators under preset dimensions, wherein the dimensions include at least one of the following: an IP address, an airline, a business module, a function name, and an execution action of the at least one server;

[0126] The monitoring indicator calculation and collection component includes the target node indicator calculation subcomponent, and the target node indicator calculation subcomponent is pre-configured in the at least one server.

[0127] In some implementations, the alarm unit further includes:

[0128] The time series storage component is used to write the processing result into a time series database, and the processing result is persistently stored in the time series database.

[0129] In some implementations, the issuing of warning information for the user experience data in the processing result that does not meet the preset rules includes:

[0130] On the monitoring panel corresponding to the indicator that does not meet the preset rules, the alarm information of the indicator is displayed, and at least one indicator corresponds to one monitoring panel.

[0131] In some implementations, the display unit further includes:

[0132] A big data processing component is used to process the first log data and the second log data of the at least one server respectively to obtain a big data processing result, wherein the big data processing result includes a first value of the indicator and a second value of the indicator, wherein the first log data is the log data before optimization, and the second log data is the log data after optimization, the first value is the indicator obtained from the first log data, and the second value is the indicator obtained from the second log data.

[0133] In some implementations, the big data processing component is further used to obtain daily user login statistics.

[0134] According to one or more embodiments of the present application, the present application also discloses an optimization assistance method for a flight management system, including:

[0135] Acquire user experience data from at least one server, and obtain processing results based on the user experience data, wherein the processing results include indicators, including: number of visits, average response time, maximum response time, shortest response time, or error rate;

[0136] Issue warning information for user experience data in the processing results that do not meet the preset rules;

[0137] Collecting user experience data to be displayed, the user experience data to be displayed includes first user experience data and second user experience data, the first user experience data includes user experience data after the flight management system is optimized based on the warning information, and the second user experience data is user experience data before optimization;

[0138] The user experience data to be displayed is displayed.

[0139] According to one or more embodiments of the present application, the present application further discloses an electronic device, including:

[0140] Memory and processor;

[0141] The memory is used to store a computer program, and the processor is used to run the computer program to implement the optimization assistance method for the flight management system disclosed in the present application.

[0142] According to one or more embodiments of the present application, the present application also discloses a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute the optimization assistance method of the flight management system disclosed in the present application.

[0143] Although the subject matter has been described in language specific to structural features and / or methodological logical actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims.

[0144] Although several specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Certain features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination.

[0145] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

Claims

1. An optimization auxiliary system for a flight management system, characterized in that: include: Alarm unit and display unit; The alarm unit includes: a monitoring indicator calculation and collection component, and an alarm component; The monitoring indicator calculation and collection component is used to obtain user experience data from at least one server, and obtain a processing result based on the user experience data, wherein the processing result includes an indicator, and the indicator includes: access volume, average response time, maximum response time, shortest response time, or error rate; The alarm component issues an alarm message for the user experience data in the processing result that does not meet the preset rules; The display unit includes: a display index collection component and a display component; The display index collection component is used to collect user experience data to be displayed, and the user experience data to be displayed includes first user experience data and second user experience data, the first user experience data includes user experience data after the flight management system is optimized based on the warning information, and the second user experience data is user experience data before optimization; The display component is used to display the user experience data to be displayed.

2. The optimization auxiliary system of the flight management system according to claim 1, characterized in that: The monitoring indicator calculation and collection component is also used for: A calculation script file and a collection frequency are sent to the at least one server, wherein the calculation script file triggers the acquisition of the user experience data after the at least one server is run, and the collection frequency represents the frequency of sending the user experience data to the monitoring indicator calculation and collection component.

3. The optimization auxiliary system of the flight management system according to claim 1, characterized in that: The monitoring indicator calculation and collection component is used to obtain user experience data from at least one server, including: The target node indicator calculation subcomponent is used to perform calculation based on the received task and the log data of the at least one server to obtain the user experience data, wherein the calculation includes: calculating indicators under preset dimensions, wherein the dimensions include at least one of the following: an IP address, an airline, a business module, a function name, and an execution action of the at least one server; The monitoring indicator calculation and collection component includes the target node indicator calculation subcomponent, and the target node indicator calculation subcomponent is pre-configured in the at least one server.

4. The optimization auxiliary system for a flight management system according to any one of claims 1 to 3, characterized in that: The alarm unit also includes: The time series storage component is used to write the processing result into a time series database, and the processing result is persistently stored in the time series database.

5. The optimization auxiliary system for flight management system according to any one of claims 1 to 3, characterized in that: The issuing of warning information for the user experience data in the processing result that does not meet the preset rules includes: On the monitoring panel corresponding to the indicator that does not meet the preset rules, the alarm information of the indicator is displayed, and at least one indicator corresponds to one monitoring panel.

6. The optimization auxiliary system for flight management system according to any one of claims 1 to 3, characterized in that: The display unit also includes: A big data processing component is used to process the first log data and the second log data of the at least one server respectively to obtain a big data processing result, wherein the big data processing result includes a first value of the indicator and a second value of the indicator, wherein the first log data is the log data before optimization, and the second log data is the log data after optimization, the first value is the indicator obtained from the first log data, and the second value is the indicator obtained from the second log data.

7. The optimization auxiliary system for flight management system according to claim 6, characterized in that: The big data processing component is also used to obtain daily user login statistics.

8. An optimization auxiliary method for a flight management system, characterized in that: include: Acquire user experience data from at least one server, and obtain processing results based on the user experience data, wherein the processing results include indicators, including: number of visits, average response time, maximum response time, shortest response time, or error rate; Issue warning information for user experience data in the processing results that do not meet the preset rules; Collecting user experience data to be displayed, the user experience data to be displayed includes first user experience data and second user experience data, the first user experience data includes user experience data after the flight management system is optimized based on the warning information, and the second user experience data is user experience data before optimization; The user experience data to be displayed is displayed.

9. An electronic device, characterized in that: include: Memory and processor; The memory is used to store a computer program, and the processor is used to run the computer program to implement the optimization assistance method for a flight management system as described in claim 8.

10. A computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the optimization assistance method for a flight management system as claimed in claim 8.

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