A method and device for autonomous maintenance of aviation electromechanical systems

Abstract

The present application provides an aviation electromechanical autonomous maintenance method and device, which belongs to the field of fault prediction and health management technology. The method provided by the present application includes: predicting maintenance information based on aviation electromechanical health and fault data; determining maintenance task priorities based on the maintenance information and the flight mission of the aviation electromechanical; modifying the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generating a maintenance task table; generating a task matrix based on the maintenance task table; and managing the execution progress of aviation electromechanical maintenance tasks based on the task matrix. The aviation electromechanical autonomous maintenance method and device provided by the present application can effectively reduce the risk of equipment failure and reduce repair and maintenance costs.

Description

Technical Field

[0001] The present application relates to the technical field of fault prediction and health management, and in particular to an aviation electromechanical autonomous protection method and device. Background Art

[0002] In order to better realize the new support mode of CBM (condition-based maintenance) and PHM (prognosis and health management) for the new generation of aircraft, it is necessary to build an operating platform in the combat unit that supports the unified management and collaborative work of the aircraft platform, all software systems, distributed databases and different hardware, that is, an autonomous support information system.

[0003] At present, the repair and maintenance of electromechanical systems are mainly post-maintenance and regular maintenance, that is, based on the collection of fault information from the aircraft takeoff to landing and the maintenance interval period specified when the product is delivered, the decision-making for carrying out the repair and maintenance of the electromechanical system is made based on the information of the two. However, this method is very likely to bring the risk of unexpected equipment and system shutdown in the aircraft electromechanical system, leading to aircraft accidents. At the same time, there may be a state of over-maintenance of equipment and systems, thus increasing the cost of repair and maintenance. Summary of the invention

[0004] In view of this, the present application provides an aviation electromechanical autonomous maintenance method and device, which can effectively reduce the risk of equipment failure and reduce repair and maintenance costs.

[0005] Specifically, the present application is implemented through the following technical solutions:

[0006] The first aspect of the present application provides an aviation electromechanical autonomous maintenance method, the method comprising:

[0007] Predict maintenance information based on aviation electromechanical health and failure data;

[0008] Determine maintenance task priority based on the maintenance information and the flight mission of the avionics;

[0009] The maintenance information at least includes a location to be maintained and fault information, the fault information at least includes a real-time fault that is a fault after a preset time, the first priority of each location to be maintained is evaluated according to the maintenance information, and the maintenance task priority is determined based on the first priority and the flight task;

[0010] Modify the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generate a maintenance task table;

[0011] generating a task matrix based on the maintenance task table;

[0012] The execution progress of the aviation electromechanical maintenance task is managed based on the task matrix.

[0013] The second aspect of the present application provides an aviation electromechanical autonomous support device, the device comprising an identification module, a generation module, and a management module; wherein:

[0014] The identification module is used to predict maintenance information based on aviation electromechanical health and fault data;

[0015] The generating module is used to determine the maintenance task priority based on the maintenance information and the flight mission of the aviation electromechanical system;

[0016] The maintenance information at least includes a location to be maintained and fault information, the fault information at least includes a real-time fault that is a fault after a preset time, the first priority of each location to be maintained is evaluated according to the maintenance information, and the maintenance task priority is determined based on the first priority and the flight task;

[0017] The generating module is further used to modify the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generate a maintenance task table;

[0018] The generating module is further used to generate a task matrix based on the maintenance task table;

[0019] The management module is used to manage the execution progress of the aviation electromechanical maintenance task based on the task matrix.

[0020] The aviation electromechanical autonomous maintenance method and device provided by the present application, on the one hand, predicts maintenance information in advance by analyzing the aviation electromechanical health and fault data, rather than waiting until the fault occurs to handle it, so that the maintenance work is forward-looking, and can intervene before the potential problem develops into a serious fault, changing the traditional passive maintenance mode, realizing active maintenance, and reducing the downtime and safety risks caused by sudden faults. On the other hand, the maintenance information is combined with the actual flight mission, and the maintenance priority is arranged by considering the operation of the aircraft. According to the actual use scenario of the aircraft, the maintenance sequence can be actively adjusted to ensure that the components that have the greatest impact on the operation of the aircraft are repaired first, thereby improving the overall reliability of the aircraft operation. In addition, the maintenance information includes the location to be maintained and the fault information (including real-time and preset time after the fault), and evaluates the first priority of each location to be maintained, comprehensively considering the maintenance location and multiple types of fault information, and performing a priority evaluation on each location to be maintained, ensuring that the priority is not determined based on a single factor, but comprehensively considering multiple aspects, making the priority division more scientific and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of the first embodiment of the aviation electromechanical autonomous maintenance method provided by this application;

[0022] Figure 2 A schematic diagram of a task matrix shown as an exemplary embodiment of the present application;

[0023] Figure 3 An execution Gantt chart is shown for an exemplary embodiment of the present application;

[0024] Figure 4 This is a schematic diagram of the structure of the first embodiment of the aviation electromechanical autonomous support device provided in this application. DETAILED DESCRIPTION

[0025] Here, exemplary embodiments are described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application.

[0026] The terms used in this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in this article refers to and includes any or all possible combinations of one or more associated listed items.

[0027] It should be understood that although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0028] Specific embodiments are given below to introduce the technical solution of the present application in detail.

[0029] Figure 1 This is a flowchart of the first embodiment of the aviation electromechanical autonomous maintenance method provided by this application. Please refer to Figure 1 , the method provided in this embodiment may include:

[0030] S101. Predict maintenance information based on aviation electromechanical health and fault data.

[0031] It should be noted that the health and fault data can be obtained by monitoring and analyzing the operation data of the aviation electromechanical system, and then specific maintenance information can be generated based on the health and fault data. Specifically, the maintenance information predicted based on the aviation electromechanical fault data includes:

[0032] (1) Obtain aviation electromechanical operation data based on onboard PHM and offboard PHM.

[0033] It should be noted that onboard PHM (Prognostic Health Management) monitors the operating status of the aviation electromechanical system in real time through airborne sensors and data acquisition systems, and collects various data, such as temperature, pressure, vibration, speed, current, voltage, etc. Offboard PHM obtains the operating data of the aviation electromechanical system through regular inspection, maintenance and testing of equipment on the ground, including maintenance records, historical fault data, equipment status reports, etc. Based on onboard PHM and offboard PHM, various operating data of aviation electromechanical can be obtained.

[0034] (2) Extracting features related to the fault from the aviation electromechanical operation data to obtain abnormal data.

[0035] It should be noted that before fault feature extraction, the acquired data may be preprocessed to ensure data quality and consistency. Specifically, the preprocessing method is not specifically limited here. Then, fault-related features are extracted from the preprocessed data. For example, the features may be time domain features (mean, variance, peak, peak-to-peak value, etc.), frequency domain features (spectral energy, main frequency components, etc.), time-frequency domain features (wavelet transform coefficients, etc.) and other features (features based on expert experience or fault mode libraries, such as energy in a specific frequency range, vibration mode, etc.).

[0036] (3) Performing fault mode recognition and fault prediction based on the abnormal data to obtain the maintenance information.

[0037] It should be noted that fault pattern recognition may include fault classification and fault diagnosis, and fault prediction may include equipment health assessment, remaining life prediction, and fault development trend analysis. Specifically, fault pattern recognition and fault prediction based on abnormal data to obtain the maintenance information include:

[0038] (i) Analyze abnormal data, identify different types of faults, and locate the fault location, cause and urgency based on the characteristic data of each type of fault.

[0039] It should be noted that machine learning algorithms such as support vector machines, decision trees, random forests, neural networks, etc. can be used to classify abnormal data and identify different types of faults. Different types of faults may include sensor faults (characteristics: signal drift, increased noise, signal interruption), bearing faults (characteristics: abnormal vibration signals, increased temperature, increased noise), motor faults (characteristics: current fluctuations, unstable speed, overheating), etc.

[0040] Furthermore, based on the fault classification, by analyzing the fault feature data, the diagnostic model (such as Bayesian network, deep learning, etc.) is used to perform fault diagnosis, locate the specific fault site, such as a sensor, bearing, motor, etc., and analyze the cause and urgency of the fault, such as overheating, wear, short circuit, etc., and mark the fault site as a location for maintenance.

[0041] (ii) Based on historical fault data and real-time operation data, the health status of the current equipment is evaluated and the remaining life of the equipment under the current working condition is predicted.

[0042] Specifically, historical fault data and real-time operation data are obtained and compared and analyzed. For example, a health index model can be constructed to evaluate the current health status of the equipment. In addition, corresponding prediction models, such as long short-term memory networks (LSTMs) and regression models, can be used to estimate the remaining service life of the equipment under the current working state.

[0043] (iii) Analyze the changing trend of the fault feature data and predict the probability and time of fault occurrence based on the time series.

[0044] Specifically, the time series analysis method can be used to analyze the changing trend of fault feature data, predict the changes in fault feature data in the future, evaluate the possibility of fault development, and calculate the probability and expected time of fault occurrence based on the analysis results.

[0045] (iiii) Obtain maintenance information based on the identification results and prediction results.

[0046] It should be noted that detailed maintenance information can be generated based on the identification and prediction results. Specifically, the identification results may include the real-time determined location to be maintained, and the prediction results may include changes in fault characteristic data in the future. In addition, the maintenance information may include maintenance time, fault cause, fault severity, recommended maintenance measures, etc.

[0047] S102: Determine maintenance task priority based on the maintenance information and the flight mission of the aviation electromechanical system.

[0048] The maintenance information at least includes a location to be maintained and fault information, the fault information at least includes a real-time fault that is a fault after a preset time, the first priority of each location to be maintained is evaluated according to the maintenance information, and the maintenance task priority is determined based on the first priority and the flight task;

[0049] It should be noted that the maintenance task priority is determined based on the maintenance information and the flight mission of the aviation electromechanical system, including:

[0050] (1) Determining the priority of the flight mission according to the importance and urgency of the flight mission, and determining the priority of the maintenance task according to the maintenance information.

[0051] Obtain flight mission information, and then combine historical data to determine the priority of flight missions based on the importance and urgency of flight missions. Specifically, the importance and urgency of flight missions can be determined based on mission type (such as commercial flights, cargo flights, military missions, rescue missions, transportation of important personnel, etc.), mission impact (such as impact on customers, operations and safety) and mission schedule (such as whether there is a strict time window), etc., and then a weighted scoring method can be used to score the missions based on their importance and urgency to obtain the priority of flight missions.

[0052] The priority of the maintenance task can be determined by using a weighted scoring method based on the severity of the fault in the maintenance information (such as the impact on safety and performance), the type of fault (such as whether it is a critical component failure), the cause of the fault (such as whether it is a repetitive fault), the maintenance time window (such as whether immediate maintenance is required), the fault development trend (such as whether the fault deteriorates rapidly), etc., to obtain the priority of the maintenance task.

[0053] (2) Based on the flight mission priority and the maintenance task priority, coordinate the flight mission and the maintenance information to determine the maintenance task priority.

[0054] It should be noted that the coordination process can be to combine the priorities of flight tasks and maintenance tasks to ensure that high-priority tasks are handled first, and when possible, to arrange maintenance tasks within a time window that does not affect high-priority flight tasks. Based on the coordination results, a decision matrix or weighted scoring method is used to determine the priority of the maintenance task.

[0055] Specifically, the flight mission priority and the maintenance task priority are integrated to locate conflicting tasks, wherein the conflicting tasks include conflicting flight missions and conflicting maintenance tasks; the impact of the conflicting maintenance tasks on the conflicting flight missions is evaluated; the execution priorities of the conflicting maintenance tasks and the conflicting flight tasks are adjusted based on the impact; and the maintenance task priority is determined using the adjusted execution priority and the maintenance task priority.

[0056] The method provided by the present invention can generate the priority and execution time of maintenance tasks according to the maintenance needs and flight tasks in coordination in order to improve the accuracy of maintenance tasks that are actively determined, thereby improving the scientific nature of maintenance task generation. Specifically, firstly, the conflicting tasks are located according to the time relationship, so that only the conflicting tasks are adjusted, and the flight tasks and maintenance tasks are decoupled to avoid mixing the two together for adjustment, thereby reducing the complexity of the adjustment; at the same time, the order of conflicting tasks is determined by comprehensively considering the influence relationship between the conflicting flight tasks and maintenance tasks, that is, the interactive use of the two task lines of flight and maintenance is completed, thereby improving the scientific nature and accuracy of the adjustment. Compared with simply evaluating the importance of each task, the method provided by the present invention does not have to face the problem of different evaluation standards for flight and maintenance, but directly uses the correlation between the two to calculate the degree of influence, thereby determining the order of priority, fully considering the factors that affect each other between the two tasks, and improving the scientific nature of the adjustment of maintenance tasks.

[0057] S103: modify the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generate a maintenance task table.

[0058] It should be noted that the aviation electromechanical maintenance history record includes past maintenance tasks (task type, components, failure causes, maintenance time, etc.), maintenance cycles and frequency, maintenance effects and failure recurrence, etc.; maintenance resources include human resources (the number of technicians, skill levels and workload), material resources (spare parts inventory, equipment tools and materials), time resources (available maintenance windows and task schedules), etc.

[0059] Specifically, based on the aviation electromechanical maintenance history record and maintenance resources, the maintenance task priority is modified to generate a maintenance task table, including:

[0060] (1) Predicting maintenance needs based on the aviation electromechanical maintenance history records.

[0061] Analyze the data of aviation electromechanical maintenance history records to obtain the human resources, material resources and time resources consumed in repairing each fault, and based on this, predict the maintenance requirements when the same fault occurs again (how much resources are required for successful repair).

[0062] (2) Adjusting the order of the maintenance task priorities according to the predicted maintenance demand and the maintenance resources, and generating the maintenance task table.

[0063] It should be noted that the order of maintenance task priorities can be adjusted based on the relationship between the availability of current maintenance resources, such as existing technicians, spare parts inventory, etc., and the resources required for the predicted maintenance needs. For example, the adjustment can be made through corresponding optimization algorithms (such as linear programming, integer programming, etc.). When the predicted maintenance needs and maintenance resources do not conflict, no adjustment is required.

[0064] It should also be noted that the contents of the maintenance task table may include maintenance task number, task description (including fault type, component location, maintenance content), priority, estimated start time and end time, required resources (manpower, materials) and other information.

[0065] Specifically, adjusting the order of the maintenance task priorities according to the predicted maintenance demand and the maintenance resources includes:

[0066] (i) Obtaining resource status based on the maintenance resource and calculating resource availability.

[0067] For example, the availability of human resources is the number of available personnel = the total number of personnel - the number of allocated personnel, the availability of material resources is the available quantity of each spare part = the current inventory quantity, and the availability of equipment and tools is the number of available equipment = the total number of equipment - the number of allocated equipment.

[0068] (ii) Allocate resources according to the resource availability; if resources are insufficient, calculate the ordering time of resources and order resources according to task requirements.

[0069] It should be noted that the allocation of human resources can reasonably allocate technical personnel according to the urgency of the task and the skill requirements, the allocation of material resources can first allocate key spare parts in the inventory to high-priority tasks, and the allocation of equipment and tool resources can prioritize ensuring that the equipment and tool requirements of high-priority tasks are met. It should also be noted that, for example, the calculation of the ordering time of resources can be ordering time = order processing time + transportation time + warehousing time.

[0070] (iii) adjusting the priority order of the maintenance tasks according to the resource shortage in the resource availability and the arrival of the resource order.

[0071] It should be noted that when determining the current lack of resources, the urgency of the resources required for each task is evaluated, among which high-priority tasks are guaranteed to be allocated first. For the remaining unassigned tasks, after the resources are ordered and delivered, the start and end times of the tasks are adjusted according to the order time. Among them, low-priority tasks are postponed or rescheduled before the resources arrive. Real-time monitoring of resource arrival and task progress, dynamic adjustment of task priority and time schedule, to ensure that high-priority tasks are completed on time.

[0072] S104: Generate a task matrix based on the maintenance task table.

[0073] It should be noted that the tasks in the maintenance task table are converted into a task matrix to clarify the relationship and dependency between the tasks. The task matrix helps to understand and manage the execution order and interdependence of tasks to ensure that all tasks can be carried out smoothly.

[0074] Figure 2 This is a task matrix diagram for an exemplary embodiment of the present application. Figure 2 , generating a task matrix based on the maintenance task table, including: defining a matrix dimension, wherein the horizontal axis of the matrix dimension is the task number, and the vertical axis of the matrix dimension is the aircraft number; and filling the task matrix according to the maintenance task table.

[0075] S105: managing the execution progress of the aviation electromechanical maintenance task based on the task matrix.

[0076] It should be noted that the execution progress of the aviation electromechanical maintenance task is managed based on the task matrix, including:

[0077] (1) Forming a task execution Gantt chart based on the task sequence of the task matrix and the resource status of the maintenance resources.

[0078] It should be noted that the execution Gantt chart is used to display and track the actual execution progress of a project or task. You can use Gantt chart tools or software (such as Microsoft Project, Excel, Smartsheet, etc.) to draw a task Gantt chart. Figure 3 For an exemplary embodiment of the present application, please refer to Figure 3 According to the task execution Gantt chart, through task decision-making and scheduling, the original single planned maintenance and maintenance after failure is upgraded to task adjustment according to the status of the aircraft. For example, the maintenance task time is adjusted according to the status of the aircraft to ensure the safe operation of the aircraft; or the sequence of maintenance tasks and flight tasks is adjusted based on the status of the aircraft and maintenance resources to improve the aircraft's attendance rate.

[0079] (2) Monitor the execution status based on the task execution Gantt chart.

[0080] (3) According to the execution status, the task sequence, resource status and problems of tasks that cannot be executed normally are obtained to adjust the task execution Gantt chart.

[0081] It should be noted that the role of the task sequence is to adjust the start and end time of subsequent tasks according to the actual progress of the task, and to rearrange the priority and execution order of the tasks; the role of the resource status is to update the actual status of resources, such as the use of manpower, materials, and equipment, and adjust the allocation of resources to meet the requirements of new tasks; according to the specific problems that cannot be performed normally (insufficient resources, insufficient personnel, etc.), corrective measures can be taken, such as reallocating resources, adding personnel, adjusting task time, etc. In addition, when coordination is impossible, a problem report is generated and fed back to the maintenance task table for adjustment.

[0082] Specifically, the task schedule is updated based on the task sequence, and the task priority is modified according to the urgency of the task and the availability of resources; the resource allocation is adjusted according to the real-time status of the resources and the specific problems that prevent the task from being executed normally; the task execution Gantt chart is regenerated based on the updated schedule, the modified task priority and the adjusted resource allocation.

[0083] Specifically, using the task matrix to manage and track the execution progress of maintenance tasks can ensure that each task is executed at the appropriate time and the progress information is updated in a timely manner. In this way, the various maintenance tasks can be effectively coordinated to ensure that the maintenance work is completed smoothly as planned.

[0084] The aviation electromechanical autonomous maintenance method provided in this embodiment first predicts maintenance information based on the aviation electromechanical health and fault data, then determines the maintenance task priority based on the maintenance information and the flight mission of the aviation electromechanical, and then modifies the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, generates a maintenance task table, and generates a task matrix based on the maintenance task table, and finally manages the execution progress of the aviation electromechanical maintenance task based on the task matrix. On the one hand, by analyzing the aviation electromechanical health and fault data to predict maintenance information in advance, instead of waiting until the fault occurs to deal with it, the maintenance work is forward-looking, and it can intervene before the potential problem develops into a serious fault, changing the traditional passive maintenance mode, realizing active maintenance, and reducing the downtime and safety risks caused by sudden faults. On the other hand, the maintenance information is combined with the actual flight mission, and the maintenance priority is arranged in consideration of the operation of the aircraft. According to the actual use scenario of the aircraft, the maintenance sequence can be actively adjusted to ensure that the components that have the greatest impact on the operation of the aircraft are repaired first, thereby improving the overall reliability of the aircraft operation. In addition, maintenance information includes the location to be maintained and fault information (including real-time and preset faults), and evaluates the first priority of each location to be maintained. It comprehensively considers the maintenance location and various types of fault information, and evaluates the priority of each location to be maintained, ensuring that the priority is not determined based on a single factor, but takes multiple aspects into consideration, making the priority division more scientific and accurate. At the same time, the maintenance history records and existing maintenance resources are included in the considerations for priority adjustment, avoiding the situation where high-priority maintenance tasks cannot be executed on time due to resource shortages, making the priority setting more in line with the actual situation.

[0085] Corresponding to the aforementioned embodiment of an aviation electromechanical autonomous maintenance method, the present application also provides an embodiment of an aviation electromechanical autonomous maintenance device.

[0086] Figure 4 This is a schematic diagram of the structure of the first embodiment of the aviation electromechanical autonomous protection device provided by this application. Figure 4 The device provided in this embodiment includes an identification module 410, a generation module 420, and a management module 430; wherein,

[0087] The identification module 410 is used to predict maintenance information based on aviation electromechanical health and fault data;

[0088] The generating module 420 is used to determine the maintenance task priority based on the maintenance information and the flight mission of the aviation electromechanical system;

[0089] The maintenance information at least includes a location to be maintained and fault information, the fault information at least includes a real-time fault that is a fault after a preset time, the first priority of each location to be maintained is evaluated according to the maintenance information, and the maintenance task priority is determined based on the first priority and the flight task;

[0090] The generating module 420 is further used to modify the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generate a maintenance task table;

[0091] The generating module 420 is further used to generate a task matrix based on the maintenance task table;

[0092] The management module 430 is used to manage the execution progress of the aviation electromechanical maintenance task based on the task matrix.

[0093] The device of this embodiment can be used to perform Figure 1 The steps, specific implementation principles and implementation processes of the method embodiment shown are similar and will not be repeated here.

[0094] The implementation process of the functions and effects of each unit in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, and will not be repeated here.

[0095] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The device embodiment described above is only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application scheme. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0096] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. An aviation electromechanical autonomous support method, characterized in that: The method comprises: Predict maintenance information based on aviation electromechanical health and failure data; Determine maintenance task priority based on the maintenance information and the flight mission of the avionics; The maintenance information at least includes a location to be maintained and fault information, the fault information at least includes a real-time fault that is a fault after a preset time, the first priority of each location to be maintained is evaluated according to the maintenance information, and the maintenance task priority is determined based on the first priority and the flight task; Modify the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generate a maintenance task table; generating a task matrix based on the maintenance task table; Managing the execution progress of aviation electromechanical maintenance tasks based on the task matrix; The predictive maintenance information based on aviation electromechanical health and fault data includes: Acquire aviation electromechanical operation data based on onboard PHM and offboard PHM; Extracting features related to the fault from the aviation electromechanical operation data to obtain abnormal data; Perform fault mode recognition and fault prediction based on the abnormal data to obtain the maintenance information; The performing fault mode identification and fault prediction based on the abnormal data to obtain the maintenance information includes: Analyze abnormal data, identify different types of faults, and locate the fault location, cause and urgency based on the characteristic data of each type of fault; Based on historical fault data and real-time operation data, evaluate the health status of the current equipment and predict the remaining life of the equipment under the current working status; Analyze the changing trend of the fault characteristic data, and predict the probability and time of the fault occurrence in combination with the time series; Obtain maintenance information based on identification and prediction results; The determining of the maintenance task priority based on the maintenance information and the flight mission of the avionics includes: Determining the priority of the flight mission according to the importance and urgency of the flight mission, and determining the priority of the maintenance task according to the maintenance information; Based on the flight mission priority and the maintenance task priority, coordinate the flight mission with the maintenance information to determine the maintenance task priority; The step of coordinating the flight mission with the maintenance information and determining the maintenance task priority based on the flight mission priority and the maintenance task priority includes: The flight task priority and the maintenance task priority are integrated to locate conflicting tasks, where the conflicting tasks include conflicting flight tasks and conflicting maintenance tasks; Assessing the degree of impact of the conflicting maintenance task on the conflicting flight task; adjusting the execution priorities of the conflicting maintenance task and the conflicting flight task based on the impact degree; The maintenance task priority is determined using the adjusted execution priority and the priority of the maintenance task.

2. The method according to claim 1, characterized in that The step of modifying the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources and generating a maintenance task table includes: predicting maintenance needs based on the aviation electromechanical maintenance history records; The maintenance task priority order is adjusted according to the predicted maintenance demand and the maintenance resources to generate the maintenance task table.

3. The method according to claim 2, characterized in that The adjusting the order of the maintenance task priorities according to the predicted maintenance demand and the maintenance resources includes: Acquiring resource status based on the maintenance resource and calculating resource availability; According to the resource availability, resources are allocated. If resources are insufficient, the ordering time of resources is calculated, and resources are ordered according to the task requirements; The order of the maintenance task priorities is adjusted according to the resource shortage situation in the resource availability and the arrival situation of the resource order.

4. The method according to claim 1, characterized in that The generating a task matrix based on the maintenance task table includes: A matrix dimension is defined, wherein the horizontal axis of the matrix dimension is the mission number, and the vertical axis of the matrix dimension is the aircraft number; The task matrix is ​​filled according to the maintenance task table.

5. The method according to claim 1, characterized in that The managing the execution progress of the aviation electromechanical maintenance task based on the task matrix includes: Forming a task execution Gantt chart based on the task sequence of the task matrix and the resource status of the maintenance resources; Monitor the execution status based on the task execution Gantt chart; According to the execution status, the task sequence, resource status and problems of tasks that cannot be executed normally are obtained to adjust the task execution Gantt chart.

6. An aviation electromechanical autonomous support device, characterized in that: The device comprises an identification module, a generation module, and a management module; wherein, The identification module is used to predict maintenance information based on aviation electromechanical health and fault data; The generating module is used to determine the maintenance task priority based on the maintenance information and the flight mission of the aviation electromechanical system; The maintenance information at least includes a location to be maintained and fault information, the fault information at least includes a real-time fault that is a fault after a preset time, the first priority of each location to be maintained is evaluated according to the maintenance information, and the maintenance task priority is determined based on the first priority and the flight task; The generating module is further used to modify the maintenance task priority based on the aviation electromechanical maintenance history record and maintenance resources, and generate a maintenance task table; The generating module is further used to generate a task matrix based on the maintenance task table; The management module is used to manage the execution progress of the aviation electromechanical maintenance task based on the task matrix; The predictive maintenance information based on aviation electromechanical health and fault data includes: Acquire aviation electromechanical operation data based on onboard PHM and offboard PHM; Extracting features related to the fault from the aviation electromechanical operation data to obtain abnormal data; Perform fault mode recognition and fault prediction based on the abnormal data to obtain the maintenance information; The performing fault mode identification and fault prediction based on the abnormal data to obtain the maintenance information includes: Analyze abnormal data, identify different types of faults, and locate the fault location, cause and urgency based on the characteristic data of each type of fault; Based on historical fault data and real-time operation data, evaluate the health status of the current equipment and predict the remaining life of the equipment under the current working status; Analyze the changing trend of the fault characteristic data, and predict the probability and time of the fault occurrence in combination with the time series; Obtain maintenance information based on identification and prediction results; The determining of the maintenance task priority based on the maintenance information and the flight mission of the avionics includes: Determining the priority of the flight mission according to the importance and urgency of the flight mission, and determining the priority of the maintenance task according to the maintenance information; Based on the flight mission priority and the maintenance task priority, coordinate the flight mission with the maintenance information to determine the maintenance task priority; The step of coordinating the flight mission with the maintenance information and determining the maintenance task priority based on the flight mission priority and the maintenance task priority includes: The flight task priority and the maintenance task priority are integrated to locate conflicting tasks, where the conflicting tasks include conflicting flight tasks and conflicting maintenance tasks; Assessing the degree of impact of the conflicting maintenance task on the conflicting flight task; adjusting the execution priorities of the conflicting maintenance task and the conflicting flight task based on the impact degree; The maintenance task priority is determined using the adjusted execution priority and the priority of the maintenance task.

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