Visualization method, device and equipment for regular maintenance data of airplane and medium

Abstract

The invention discloses a visualization method for regular maintenance data of an airplane. The method comprises the following steps: acquiring airplane operation data in a regular maintenance process of the airplane; wherein the airplane operation data comprises data before the airplane enters the field, data after the airplane enters the field and comprehensive data; preprocessing the aircraft operation data, and storing the preprocessed data in a database; analyzing and processing the preprocessed data into chart data according to a service type by adopting an ECharts technology; sending the chart data to a display screen capable of performing interactive operation for visual display; the intelligent level of regular maintenance of the airplane and the working efficiency of maintenance personnel can be improved, and guarantee is provided for safe operation of the airplane.

Description

Technical Field

[0001] The present invention relates to the technical field of data visualization, and in particular to a method, device, equipment and medium for visualizing aircraft scheduled inspection and maintenance data. Background Art

[0002] With the rapid development of the global aviation industry, the safety performance and operating efficiency of aircraft, as the main means of air transportation, are of vital importance. In order to ensure the continued airworthiness and safety of aircraft, airlines must conduct regular inspections and maintenance of aircraft in accordance with strict regulations. As an important part of ensuring the safe operation of aircraft, aircraft scheduled inspections and maintenance are becoming increasingly important.

[0003] At present, in the field of aircraft inspection and maintenance, the aircraft maintenance status is mainly recorded through text descriptions, tables or simple charts. The data recording method is relatively simple, and it is difficult to intuitively and comprehensively display key information such as the aircraft maintenance status. A data visualization method for scheduled inspection and maintenance that can improve the level of intelligence is needed to improve the work efficiency and decision-making accuracy of maintenance personnel and provide a more solid guarantee for the safe operation of aircraft. Summary of the invention

[0004] The embodiment of the present invention provides a method for visualizing aircraft scheduled inspection and maintenance data, which can improve the intelligence level of aircraft scheduled inspection and maintenance and the work efficiency of maintenance personnel, and provide guarantee for the safe operation of the aircraft.

[0005] In a first aspect, an embodiment of the present invention provides a method for visualizing aircraft scheduled inspection and maintenance data, comprising:

[0006] Acquire aircraft operation data during scheduled aircraft inspection and maintenance; wherein the aircraft operation data includes aircraft pre-approach data, aircraft post-approach data and comprehensive data;

[0007] Preprocessing the aircraft operation data, and storing the preprocessed data in a database;

[0008] Using ECharts technology to analyze and process the pre-processed data into chart data according to business types;

[0009] The chart data is sent to a display screen capable of interactive operations for visual display.

[0010] Furthermore, the data before the aircraft approach includes data such as manpower data, aviation material preparation data and aircraft in-place data in the hangar; the data after the aircraft approach includes data such as worker working hours data, work card execution data and aircraft abnormality data; and the comprehensive data includes data such as key equipment resource data, remote support data and maintenance image data.

[0011] Furthermore, the manpower data includes a maintenance man-hour efficiency index, and the calculation formula of the maintenance man-hour efficiency index is as follows:

[0012]

[0013] Among them, AMMHEI(t) is the maintenance work hour efficiency index, n is the total number of maintenance workers on duty, ActualWorkHours i (t) is the actual working hours of the ith maintenance worker at time t, PlannedWorkHours i (t) is the planned working hours of the ith maintenance worker at time t.

[0014] Furthermore, the aviation material preparation data includes the aviation material arrival rate, and the calculation formula of the aviation material arrival rate is as follows:

[0015]

[0016] Among them, R is the arrival rate of aviation materials, m is the number of arrivals of aviation materials, H i is the arrival quantity of the i-th aviation material arrival, and S is the total number of aviation materials applied for.

[0017] Further, the hangar aircraft in-place data includes current hangar aircraft in-place data and predicted hangar aircraft in-place data, the predicted hangar aircraft in-place data includes predicted hangar aircraft in-place time, and the calculation formula for the predicted hangar aircraft in-place time is as follows:

[0018]

[0019] Where PIT(t) is the predicted in-service time of the aircraft at time t, u is the number of characteristic functions, and w i is the weight of the i-th feature function, f i (t) is the value of the i-th characteristic function at time t.

[0020] Further, the preprocessing of the aircraft operation data includes:

[0021] Acquire the association relationship between the aircraft operation data;

[0022] converting the aircraft operation data of different data structures into structured data;

[0023] Based on the association relationship, a foreign key association is established for the structured data.

[0024] Furthermore, the chart data includes at least one of a graph, a curve, a bar chart, a pie chart, a radar chart, a Gantt chart, a three-dimensional body and an animation.

[0025] In a second aspect, an embodiment of the present invention provides a device for visualizing aircraft scheduled inspection and maintenance data, including:

[0026] A data acquisition module is used to acquire aircraft operation data during the aircraft scheduled inspection and maintenance process; wherein the aircraft operation data includes aircraft pre-approach data, aircraft post-approach data and comprehensive data;

[0027] A preprocessing module, used for preprocessing the aircraft operation data and storing the preprocessed data in a database;

[0028] A data conversion module, used to analyze and process the pre-processed data into chart data according to business types using ECharts technology;

[0029] The visualization display module is used to send the chart data to a display screen that can perform interactive operations for visualization display.

[0030] In a third aspect, an embodiment of the present invention provides an electronic device, including:

[0031] Memory for storing computer programs;

[0032] A processor, configured to execute the computer program;

[0033] Wherein, when the processor executes the computer program, the method for visualizing aircraft scheduled inspection and maintenance data as described in any one of the first aspects above is implemented.

[0034] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed, implements the method for visualizing aircraft scheduled inspection and maintenance data as described in any one of the first aspects above.

[0035] Compared with the prior art, the visualization method of aircraft scheduled inspection and maintenance data provided by the embodiment of the present invention has the following beneficial effects: by obtaining aircraft operation data during the aircraft scheduled inspection and maintenance process; wherein the aircraft operation data includes aircraft pre-approach data, aircraft post-approach data and comprehensive data; pre-processing the aircraft operation data, and storing the pre-processed data in a database; using ECharts technology to analyze and process the pre-processed data into chart data according to business type; sending the chart data to a display screen that can perform interactive operations for visual display; it can improve the intelligence level of aircraft scheduled inspection and maintenance and the work efficiency of maintenance personnel, and provide guarantee for the safe operation of aircraft. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical features of the embodiments of the present invention, the drawings required for use in the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0037] Figure 1 It is a flowchart of a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0038] Figure 2 It is a schematic diagram of a mapping relationship of key equipment resource allocation in a visualization method for aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0039] Figure 3 It is a schematic diagram of the design of a daily manpower page of a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0040] Figure 4 This is a schematic diagram of the arrival of non-routine aviation materials in a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0041] Figure 5 It is a schematic diagram of the arrival of routine aviation materials in a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0042] Figure 6 It is a schematic diagram of the design of a hangar aircraft presence status page of a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0043] Figure 7 It is a schematic diagram of daily reporting of working hours statistics of a visualization method for aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0044] Figure 8 It is a schematic diagram of the execution of a work card of a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0045] Fig. 9 It is a schematic diagram of the design of an interactive display screen for a method for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0046] Fig.10 It is a structural schematic diagram of a device for visualizing aircraft scheduled inspection and maintenance data provided by an embodiment of the present invention;

[0047] Fig.11 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] In a first aspect, an embodiment of the present invention provides a method for visualizing aircraft scheduled inspection and maintenance data, see Figure 1 , which is a flow chart of an embodiment of a method for visualizing aircraft scheduled inspection and maintenance data provided by the present invention.

[0050] like Figure 1 As shown, the method comprises the following steps:

[0051] S1: Acquire aircraft operation data during scheduled aircraft inspection and maintenance; wherein the aircraft operation data includes aircraft pre-approach data, aircraft post-approach data and comprehensive data;

[0052] S2: preprocessing the aircraft operation data and storing the preprocessed data in a database;

[0053] S3: Using ECharts technology to analyze and process the pre-processed data into chart data according to business types;

[0054] S4: Sending the chart data to a display screen capable of interactive operations for visual display.

[0055] In the specific implementation, firstly, all aircraft operation-related data during the scheduled inspection and maintenance period are obtained, including data before the aircraft enters the airport, data after the aircraft enters the airport, and comprehensive data. Due to the different sources and formats of the data, the aircraft operation data is preprocessed, including data cleaning, format conversion, missing value processing, and outlier detection, etc. The preprocessed data is stored in the corresponding data table in the database according to the business type. The database can be a MySQL database or other database. The specified data interface is used to extract the required data from the database. The ECharts technology is used to analyze and process the data into chart data in different forms according to the business type, and the chart data is sent to a display screen that can perform interactive operations for visual display.

[0056] For example, the visualization display module is constructed using WinForms technology, which can ensure compatibility and stability with the Windows operating system, while reducing development costs and maintenance difficulties. The visualization method of the present invention uses three screens, see Fig. 9As shown, screens 1 and 2 are normal large-size display screens, and small screen 3 is a touch screen. High-resolution capacitive touch technology is used to ensure fast and accurate touch response. The touch screen interface is concise and clear, and icons and texts are clearly legible, suitable for various user groups, including those wearing gloves. The logical design of the interactive module follows the principles of intuition, consistency and fault tolerance. Interaction can be achieved by clicking the button in screen 3. After clicking the button, screen 1 can be controlled to display the specified page, while screen 2 continues to scroll and play different visual pages, and the carousel frequency can be adjusted by the user.

[0057] In summary, the present invention obtains aircraft operation data during the aircraft scheduled inspection and maintenance process; wherein the aircraft operation data includes data before the aircraft approaches the airport, data after the aircraft approaches the airport, and comprehensive data; the aircraft operation data is preprocessed and the preprocessed data is stored in a database; the preprocessed data is analyzed and processed into chart data according to business types using ECharts technology; the chart data is sent to a display screen that can perform interactive operations for visual display; the data acquisition and processing method of the present invention can effectively organize and display huge aircraft scheduled inspection and maintenance data, improve the efficiency of data processing, can cope with maintenance data with strong real-time and high accuracy requirements, and provide valuable decision support in a timely manner, and through innovative visualization technology, provides a more intuitive and efficient data display method, so that the details and potential problems of aircraft maintenance are clear at a glance, effectively improving the intelligence level of aircraft scheduled inspection and maintenance and the work efficiency of maintenance personnel, and providing protection for the safe operation of aircraft.

[0058] In an optional embodiment, the data before the aircraft approach includes data such as manpower data, aviation material preparation data and aircraft presence data in the hangar; the data after the aircraft approach includes data such as worker working hours data, work card execution data and aircraft abnormality data; and the comprehensive data includes data such as key equipment resource data, remote support data and maintenance image data.

[0059] Specifically, the data in the aircraft inspection work includes pre-arrival data, post-arrival data and comprehensive data. The pre-arrival data is the production preparation data that can be obtained before the maintenance aircraft enters the airport, including manpower data, aviation material preparation data and hangar aircraft presence data. Daily manpower data can be collected from the OA system and mobile terminals, and is mainly used to analyze personnel attendance rates and personnel work plans, and provide basic data for the next production line manpower arrangement. Based on the analysis of manpower data, a manpower allocation plan can be generated according to the workload of the day's maintenance work, and the rationality of human resource allocation can be analyzed, such as the attendance time of each person per day. If the time for scheduled maintenance is only 7 hours, the work card allocation for scheduled inspection and maintenance should not exceed 7 hours; the aviation material preparation data can be collected from the overhaul production control system, which is mainly used to analyze the arrival of aviation materials; the hangar aircraft presence data is divided into current hangar aircraft presence data and predicted hangar aircraft presence data. The entry and exit time of each aircraft is extracted from the monthly schedule issued by the production planning unit. Based on the analysis of the entry and exit time of each aircraft, the current hangar aircraft presence data can be further obtained. Decision makers can understand the aircraft parking arrangement through the visual display of the current hangar aircraft presence data and the predicted hangar aircraft presence data without entering the hangar.

[0060] Post-aircraft approach data is obtained based on production preparation data after the aircraft approaches the airport, including worker working hour data, work card execution data, and aircraft abnormality data. Worker working hour data is filled in by the worker based on the actual work card completion status, and is used to report work card working hours that are unreasonable with the standard working hours, and can be compared with the standard working hours to monitor the work situation of the workers; work card execution data is used to count the number of cards opened and the number of checkpoints of the daily production unit to monitor the daily work progress; aircraft abnormality data refers to non-routine work card data issued based on aircraft damage or defects found during routine work card work inspections, including non-routine working hour data and non-routine aviation material data. Collecting aircraft abnormality data can determine common aircraft failures and make advance work plan arrangements.

[0061] Comprehensive data refers to data other than data before and after the aircraft approach, including key equipment resource data, off-site support data, and maintenance image data. Key equipment resource data includes usage data of key equipment such as jacks, large wing stands, nose stands, and engine brackets, including the start and end time of equipment use. Statistics of this data can solve the problem of unbalanced resource use, avoid conflicts and waste in equipment use, and help decision makers understand the overall scheduling of key equipment. Usually, during the scheduled inspection process, only some work cards have requirements for special equipment and even require multiple devices to work together. Some work cards are exclusive to the equipment in the area involved, and most work cards have no specific requirements for special equipment. The demand for equipment resources in the entire scheduled inspection process is a dynamic and complex mapping relationship. The mapping relationship under multiple production lines in parallel can be seen in Figure 2 , exemplary, Figure 2 The set L′ in the table represents the set of mappings between work card tasks and equipment resources that contain constraints, that is, it represents all the equipment resources in the actual single production line inspection process and the order of their use after integration. Among them, L1, L2, …, Ln represent production lines, EA, EB, …, EX represent different types of equipment resources, and the set L″ represents the set of work card tasks that are not scheduled and do not contain constraints. E′ represents the set of available key equipment resources, and EAn, EBn, …, EXn represent specific single equipment. The matching degree between equipment resources and production line guarantees can be simplified as EL = LnEa*LnEb*Ln Ec*……*LnEr, that is, the product of the matching degree of each resource under the condition that all constraints are met; remote support data refers to non-route emergency maintenance tasks performed in a remote location, which are usually one-time or repeated in a short period of time and strictly limited to the scope of maintenance work. This data can help decision makers intuitively understand which places may frequently need remote support and build the qualifications and capabilities of relevant personnel; maintenance image data refers to the image recording content of specific objects during maintenance work and on-site inspections. This data can be used to monitor on-site maintenance behavior and increase the defense depth of system security defense.

[0062] In an optional implementation, the manpower data includes a maintenance man-hour efficiency index, and the calculation formula of the maintenance man-hour efficiency index is as follows:

[0063]

[0064] Among them, AMMHEI(t) is the maintenance work hour efficiency index, n is the total number of maintenance workers on duty, ActualWorkHours i (t) is the actual working hours of the ith maintenance worker at time t, PlannedWorkHours i (t) is the planned working hours of the ith maintenance worker at time t.

[0065] Specifically, manpower data includes the Aircraft Maintenance Man-Hour Efficiency Index (AMMHEI), which helps managers to adjust manpower arrangements and optimize resource allocation in a timely manner. The calculation formula is as follows:

[0066]

[0067] Among them, AMMHEI(t) is the maintenance work hour efficiency index, n is the total number of maintenance workers on duty, ActualWorkHours i (t) is the actual working hours of the ith maintenance worker at time t, PlannedWorkHours i (t) is the planned working hours of the ith maintenance worker at time t.

[0068] It should be noted that the value of the aircraft maintenance work time efficiency index is between 0 and 1. The closer the value is to 1, the more reasonable the manpower allocation is and the more the actual working hours match the planned working hours.

[0069] In an optional implementation, the aviation material preparation data includes an aviation material arrival rate, and the calculation formula of the aviation material arrival rate is as follows:

[0070]

[0071] Among them, R is the arrival rate of aviation materials, m is the number of arrivals of aviation materials, H i is the arrival quantity of the i-th aviation material arrival, and S is the total number of aviation materials applied for.

[0072] Specifically, the aviation material preparation data includes the aviation material arrival rate, which is used to analyze the arrival of aviation materials. The calculation formula of the aviation material arrival rate is as follows:

[0073]

[0074] Among them, R is the arrival rate of aviation materials, m is the number of arrivals of aviation materials, H i is the arrival quantity of the i-th aviation material arrival, and S is the total number of aviation materials applied for.

[0075] Exemplarily, the 24-hour and 48-hour material arrival rates can be calculated, and the material arrival rate within a specific time range can also be calculated based on specific needs. No specific limitation is made here. When calculating the 24-hour material arrival rate, calculate whether the time difference between the material arrival time and the material application time is less than 24 hours. If so, calculate the 24-hour material arrival rate according to the above formula. When calculating the 48-hour material arrival rate, calculate whether the time difference between the material arrival time and the material application time satisfies the requirement of being greater than 24 hours and less than 48 hours. If so, calculate the 48-hour material arrival rate according to the above formula.

[0076] In an optional implementation, the hangar aircraft presence data includes current hangar aircraft presence data and predicted hangar aircraft presence data, the predicted hangar aircraft presence data includes predicted hangar aircraft presence time, and the calculation formula for the predicted hangar aircraft presence time is as follows:

[0077]

[0078] Where PIT(t) is the predicted in-service time of the aircraft at time t, u is the number of characteristic functions, and w i is the weight of the i-th feature function, f i (t) is the value of the i-th characteristic function at time t.

[0079] Specifically, the hangar aircraft in-position data includes the current hangar aircraft in-position data and the predicted hangar aircraft in-position data. The predicted hangar aircraft in-position data includes the predicted hangar aircraft in-position time (Predicted In-Position Time, PIT), which is used to predict the future aircraft stay time in the hangar. According to the index, the parking positions of the parked aircraft can be reasonably arranged to avoid resource conflicts. The calculation formula for the predicted hangar aircraft in-position time is as follows:

[0080]

[0081] Where PIT(t) is the predicted in-service time of the aircraft at time t, u is the number of characteristic functions, and w i is the weight of the i-th feature function, f i (t) is the value of the i-th characteristic function at time t.

[0082] Exemplarily, the characteristic function may include aircraft type, maintenance history and planned time, etc. The aircraft type indicates the model of the aircraft. Different models of aircraft may require different maintenance times. The maintenance history is the historical maintenance record, which can reflect the maintenance needs and frequency of the aircraft. The planned time indicates the scheduled maintenance plan time.

[0083] In an optional implementation manner, the preprocessing of the aircraft operation data includes:

[0084] Acquire the association relationship between the aircraft operation data;

[0085] converting the aircraft operation data of different data structures into structured data;

[0086] Based on the association relationship, a foreign key association is established for the structured data.

[0087] Specifically, since the aircraft operation data obtained comes from multiple departments, the data formats are different, and most of them are unstructured data, they need to be preprocessed. In order to facilitate unified processing and analysis, these data need to be converted into structured data. Structured data usually has fixed fields and formats, which are convenient for storage, query and analysis. Steps include data cleaning, format conversion and standardization to ensure data consistency and accuracy, identify the association between various data items in the aircraft operation data, and establish foreign key associations for structured data based on the associations. The aircraft number in the flight record can be associated with the aircraft number in the aircraft performance parameter table, or a foreign key relationship between a work card and aviation materials can be established. The foreign key association can be a one-to-one, one-to-many or many-to-many relationship.

[0088] In an optional implementation, the chart data includes at least one of a graph, a curve, a bar chart, a pie chart, a radar chart, a Gantt chart, a three-dimensional body, and an animation.

[0089] Specifically, the front-end page display uses ECharts technology. ECharts provides a wealth of chart types and configuration options. It configures appropriate chart types for each data type according to needs, such as graphs, curves, bar charts, pie charts, radar charts, Gantt charts, three-dimensional bodies and animations, etc., and sets the chart's color, font, title, legend and other attributes.

[0090] For example, different chart types are assigned to different business data. For the display page of daily manpower data, see Figure 3 The following is a schematic diagram of the design of the daily manpower page. Human resources are classified according to different professions and types of work. For example, they can be divided into large wings, high altitude, landing gear and electronic professions. To facilitate employee identification, employee ID photos can be displayed in order, and their attendance can be distinguished by color. For the display page of aviation material preparation data, a bar chart can be used. See Figure 4 and Figure 5As shown in the figure, they are respectively the schematic diagram of the arrival of non-routine aviation materials and the schematic diagram of the arrival of routine aviation materials. The five bar charts in the schematic diagram are respectively the number of applications, the number of normal arrivals, the number of arrivals exceeding 24 hours, the number of arrivals exceeding 48 hours and the number of non-arrivals from left to right. The horizontal axis is the production line, corresponding to each aircraft respectively; for the display page of the aircraft in the hangar, see Figure 6 The figure is a design diagram of the hangar aircraft position status page. This diagram can help decision makers to timely understand the hangar aircraft position arrangement and accurately display the aircraft position status according to the aircraft entry and exit time of the production planning department. The working time data is displayed in the form of a bar chart, see Figure 7 As shown in the figure, it is a daily working hours statistics chart; the work card execution status is displayed in the form of a radar chart, which can intuitively display the execution status of each professional work card, see Figure 8 The figure shows the status of work card execution. The partitions from the inside to the outside represent unexecuted, opened, pending and closed. The key equipment resource status is displayed in the form of a Gantt chart. The Gantt chart combines the activity list and time scale in a graphical way, which can intuitively represent the sequence and duration of a specific project, helping the team to efficiently plan and monitor project progress.

[0091] In a second aspect, an embodiment of the present invention provides a device for visualizing aircraft scheduled inspection and maintenance data, see Fig.10 , which is a structural schematic diagram of an embodiment of a device for visualizing aircraft scheduled inspection and maintenance data provided by the present invention.

[0092] like Fig.10 As shown, the device comprises:

[0093] The data acquisition module 21 is used to acquire the aircraft operation data during the scheduled inspection and maintenance of the aircraft; wherein the aircraft operation data includes the aircraft pre-approach data, the aircraft post-approach data and the comprehensive data;

[0094] A preprocessing module 22, used for preprocessing the aircraft operation data and storing the preprocessed data in a database;

[0095] A data conversion module 23 is used to analyze and process the pre-processed data into chart data according to business types using ECharts technology;

[0096] The visualization display module 24 is used to send the chart data to a display screen that can perform interactive operations for visualization display.

[0097] In an optional embodiment, the data before the aircraft approach includes data such as manpower data, aviation material preparation data and aircraft presence data in the hangar; the data after the aircraft approach includes data such as worker working hours data, work card execution data and aircraft abnormality data; and the comprehensive data includes data such as key equipment resource data, remote support data and maintenance image data.

[0098] In an optional implementation, the manpower data includes a maintenance man-hour efficiency index, and the calculation formula of the maintenance man-hour efficiency index is as follows:

[0099]

[0100] Among them, AMMHEI(t) is the maintenance work hour efficiency index, n is the total number of maintenance workers on duty, ActualWorkHours i (t) is the actual working hours of the ith maintenance worker at time t, PlannedWorkHours i (t) is the planned working hours of the ith maintenance worker at time t.

[0101] In an optional implementation, the aviation material preparation data includes an aviation material arrival rate, and the calculation formula of the aviation material arrival rate is as follows:

[0102]

[0103] Among them, R is the arrival rate of aviation materials, m is the number of arrivals of aviation materials, H i is the arrival quantity of the i-th aviation material arrival, and S is the total number of aviation materials applied for.

[0104] In an optional implementation, the hangar aircraft presence data includes current hangar aircraft presence data and predicted hangar aircraft presence data, the predicted hangar aircraft presence data includes predicted hangar aircraft presence time, and the calculation formula for the predicted hangar aircraft presence time is as follows:

[0105]

[0106] Where PIT(t) is the predicted in-service time of the aircraft at time t, u is the number of characteristic functions, and w i is the weight of the i-th feature function, f i (t) is the value of the i-th characteristic function at time t.

[0107] In an optional implementation, the preprocessing module 22 is further used for:

[0108] Acquire the association relationship between the aircraft operation data;

[0109] converting the aircraft operation data of different data structures into structured data;

[0110] Based on the association relationship, a foreign key association is established for the structured data.

[0111] In an optional implementation, the chart data includes at least one of a graph, a curve, a bar chart, a pie chart, a radar chart, a Gantt chart, a three-dimensional body, and an animation.

[0112] In a third aspect, an embodiment of the present invention provides an electronic device, see Fig.11 , which is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0113] like Fig.11 As shown, the device includes:

[0114] A memory 31, used for storing computer programs;

[0115] A processor 32, configured to execute the computer program;

[0116] Wherein, when the processor 32 executes the computer program, the method for visualizing aircraft scheduled inspection and maintenance data as described in any of the above embodiments is implemented.

[0117] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 32 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0118] The processor 32 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0119] The memory 31 can be used to store the computer program and / or module, and the processor 32 realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory 31, and calling the data stored in the memory 31. The memory 31 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 31 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0120] It should be noted that the above electronic device includes, but is not limited to, a processor and a memory. Those skilled in the art can understand that Fig.11 The structural diagram is merely an example of the electronic device described above and does not constitute a limitation on the electronic device, and may include more components than shown in the figure, or a combination of certain components, or different components.

[0121] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed, the method for visualizing aircraft scheduled inspection and maintenance data as described in any of the above embodiments is implemented.

[0122] It should be understood that the present invention can implement all or part of the processes in the above-mentioned method for visualizing scheduled inspection and maintenance data of aircraft, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method for visualizing scheduled inspection and maintenance data of aircraft can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0123] The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. It should be pointed out that for those skilled in the art, several equivalent obvious variations and / or equivalent substitutions can be made without departing from the technical principles of the present invention. These obvious variations and / or equivalent substitutions should also be regarded as the protection scope of the present invention.

Claims

1. A method for visualizing aircraft scheduled inspection and maintenance data, characterized in that: include: Acquire aircraft operation data during scheduled aircraft inspection and maintenance; wherein the aircraft operation data includes aircraft pre-approach data, aircraft post-approach data and comprehensive data; Preprocessing the aircraft operation data, and storing the preprocessed data in a database; Using ECharts technology to analyze and process the pre-processed data into chart data according to business types; The chart data is sent to a display screen capable of interactive operations for visual display.

2. The method for visualizing aircraft scheduled inspection and maintenance data according to claim 1, characterized in that: The data before the aircraft's arrival includes data such as manpower data, aviation material preparation data, and aircraft in-place data in the hangar; the data after the aircraft's arrival includes data such as worker working hours data, work card execution data, and aircraft abnormality data; the comprehensive data includes data such as key equipment resource data, remote support data, and maintenance image data.

3. The method for visualizing aircraft scheduled inspection and maintenance data according to claim 2, characterized in that: The manpower data includes a maintenance man-hour efficiency index, and the calculation formula of the maintenance man-hour efficiency index is as follows: Among them, AMMHEI(t) is the maintenance work hour efficiency index, n is the total number of maintenance workers on duty, ActualWorkHours i (t) is the actual working hours of the ith maintenance worker at time t, PlannedWorkHours i (t) is the planned working hours of the ith maintenance worker at time t.

4. The method for visualizing aircraft scheduled inspection and maintenance data according to claim 2, characterized in that: The aviation material preparation data includes the aviation material arrival rate, and the calculation formula of the aviation material arrival rate is as follows: Among them, R is the arrival rate of aviation materials, m is the number of arrivals of aviation materials, H i is the arrival quantity of the i-th aviation material arrival, and S is the total number of aviation materials applied for.

5. The method for visualizing aircraft scheduled inspection and maintenance data according to claim 2, characterized in that: The hangar aircraft in-place data includes current hangar aircraft in-place data and predicted hangar aircraft in-place data. The predicted hangar aircraft in-place data includes predicted hangar aircraft in-place time. The calculation formula for the predicted hangar aircraft in-place time is as follows: Where PIT(t) is the predicted in-service time of the aircraft at time t, u is the number of characteristic functions, and w i is the weight of the i-th feature function, f i (t) is the value of the i-th characteristic function at time t.

6. The method for visualizing aircraft scheduled inspection and maintenance data according to claim 1, characterized in that: The preprocessing of the aircraft operation data comprises: Acquire the association relationship between the aircraft operation data; converting the aircraft operation data of different data structures into structured data; Based on the association relationship, a foreign key association is established for the structured data.

7. The method for visualizing aircraft scheduled inspection and maintenance data according to claim 1, characterized in that: The chart data includes at least one of a graph, a curve, a bar chart, a pie chart, a radar chart, a Gantt chart, a three-dimensional body and an animation.

8. A device for visualizing aircraft scheduled inspection and maintenance data, characterized in that: include: A data acquisition module is used to acquire aircraft operation data during the aircraft scheduled inspection and maintenance process; wherein the aircraft operation data includes aircraft pre-approach data, aircraft post-approach data and comprehensive data; A preprocessing module, used for preprocessing the aircraft operation data and storing the preprocessed data in a database; A data conversion module, used to analyze and process the pre-processed data into chart data according to business types using ECharts technology; The visualization display module is used to send the chart data to a display screen that can perform interactive operations for visualization display.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to execute the computer program; Wherein, when the processor executes the computer program, the method for visualizing aircraft scheduled inspection and maintenance data as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the method for visualizing aircraft scheduled inspection and maintenance data according to any one of claims 1 to 7 is implemented.

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