Intelligent fault diagnosis and recovery system in aeronautical communication

Abstract

The invention discloses an intelligent fault diagnosis and recovery system in aeronautical communication, which belongs to the technical field of communication diagnosis and comprises an information acquisition module used for acquiring original data information related to aeronautical communication; the information processing module is used for preprocessing the obtained original data information; the fault diagnosis module is used for performing analysis according to the acquired data information so as to generate a comprehensive state value and a hidden fault coefficient to judge whether the aeronautical communication has a fault or a potential fault; and the recovery module is used for making a corresponding recovery decision for the aeronautical communication based on the diagnosis result. According to the method, when the aeronautical communication is judged not to have a fault, the potential fault risk of aeronautical communication can be analyzed and judged according to the change condition of the calculated comprehensive state value, the correlation influence condition of the equipment of the communication system and the environment influence condition, so that early warning processing is performed in advance, and the communication quality is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of communication diagnosis, and particularly relates to an intelligent fault diagnosis and recovery system in aviation communication. Background Art

[0002] Aviation communication, as a key support for the aviation transportation system, undertakes the important mission of information interaction between the flight crew and ground control departments, different aircraft, and various systems within the aircraft during the flight. Its stable and reliable operation is directly related to flight safety, flight efficiency, and the economic benefits of aviation operations. Since any failure of the aviation communication system may lead to interruption, error, or delay of information transmission, thus affecting flight decisions and the transmission of air traffic control instructions, and even endangering flight safety. Therefore, the aviation communication system must have extremely high security and reliability, and be able to quickly and accurately diagnose and recover when a failure occurs to ensure the continuity and stability of communication.

[0003] Currently, most detections of aviation communication security failures are judged and responded through the alarm thresholds set by each module. Since in the aviation communication system, there is almost a certain correlation between each system, analyzing and detecting based only on the data of a single module is not accurate enough; in addition, most existing aviation communication fault diagnosis modules are for warning of real-time faults, but they cannot detect potential or upcoming faults, resulting in a lack of the ability to predict potential risks. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent fault diagnosis and recovery system in aviation communication to solve the problems faced in the above background art.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An intelligent fault diagnosis and recovery system in aviation communication, the system includes: an information acquisition module, an information processing module, a fault diagnosis module, and a recovery module; The information acquisition module is used to obtain the original data information related to aviation communication; The information processing module is used to preprocess the obtained original data information to obtain standard data information; The fault diagnosis module analyzes according to the standard data information to generate a comprehensive status value and a latent fault coefficient to determine whether there is a fault or a potential fault in aviation communication; The recovery module makes corresponding recovery decisions on aviation communication based on the diagnosis result.

[0006] Further, the original data information includes the operation data information of aviation communication equipment, communication signal index data information, and environmental data information.

[0007] Furthermore, the working method of the fault diagnosis module is as follows: First, obtain multiple operation data of the communication device. After comparing the absolute values of each operation data with their respective ideal operation data, perform weighting to obtain the operation state value of the communication device ; Then, obtain multiple index data of the communication signal. After comparing the absolute values of various index data with their respective ideal index data, perform weighting to obtain the signal state value of the communication signal ; Secondly, based on the operation state value and the signal state value , through the formula calculate the comprehensive state value . When , it is determined that there is a fault in the aviation communication. is the state fault warning value set according to experience.

[0008] Furthermore, the working method of the fault diagnosis module also includes that under normal aviation communication conditions, according to the monitored comprehensive state value draw up a function of the comprehensive state value changing with time , and draw up a diagnosis period, and construct a potential fault diagnosis model within the diagnosis period . And the potential fault diagnosis model has a mathematical expression of ; input the obtained parameters into the potential fault diagnosis model , and record the output result as the latent fault coefficient ; Similarly, draw up a latent fault coefficient judgment value according to empirical data . When , it is determined that there is a potential fault risk in the aviation communication; Among them, is the node at the start of the diagnosis period, is the node at the end of the diagnosis period, is the function of the standard comprehensive state value changing with time drawn up according to the historical operation data of the aviation communication, is the equipment correlation coefficient, is the environmental impact coefficient, and are their respective weight ratios.

[0009] Furthermore, the method for obtaining the equipment correlation coefficient is as follows: Obtain the operation state values and signal state values of all associated devices associated with the aviation communication device , while obtaining the operating status values of all associated devices adjacent to the aviation communication device and the signal status values , Through the formula obtain the device correlation coefficient ; Among them, is the total number of associated devices, is the influence ratio of the i-th associated device, is the standard operating status value of the i-th associated device, is the standard signal status value of the i-th associated device, and , is the total number of adjacent devices, is the influence ratio of the j-th adjacent device, is the standard operating status value of the j-th adjacent device, is the standard signal status value of the j-th adjacent device, and .

[0010] Furthermore, the method for obtaining the environmental impact coefficient is as follows: Through the formula obtain the environmental impact coefficient ; Among them, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the air flow intensity value.

[0011] Furthermore, the working method of the recovery module is as follows: When it is determined that there is a fault in the aviation communication, determine the hierarchical response mechanism according to the comprehensive status value Specifically: When , it is determined as a minor fault, and at this time, each parameter is optimized; When , it is determined as a moderate fault, and at this time, a link switch is performed; When , it is determined as a severe fault, and at this time, system reconstruction is performed and a standby system is enabled; When it is determined that there is a potential fault risk in the aviation communication, fault troubleshooting is carried out at the corresponding location and a plan warning is made in advance.

[0012] Advantages of the present invention: The present invention can perform comprehensive analysis by combining the operation parameter data information of devices in aviation communication and the index data of communication signals, and can more accurately judge real-time faults in aviation communication.

[0013] When it is determined that there is no fault in aviation communication, the present invention can also analyze and judge the potential fault risks of aviation communication based on the change of the calculated comprehensive state value, the influence of associated devices on the communication system, and the environmental influence, so as to give early warning and treatment to ensure communication quality.

[0014] Of course, any product implementing the present invention does not necessarily need to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for describing the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a block diagram of the system module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0018] In one embodiment, an intelligent fault diagnosis and recovery system in aviation communication is disclosed. As Figure 1 shown, the system mainly includes: an information collection module, an information processing module, a fault diagnosis module, and a recovery module; Among them, the information collection module is used to obtain the original data information related to aviation communication. These original data information include the operation data information of aviation communication devices, the communication signal index data information, and the environmental data information; the information processing module is used to preprocess the obtained original data information to obtain standard data information; the fault diagnosis module analyzes based on the standard data information to generate a comprehensive state value and a latent fault coefficient to judge whether there is a fault or a latent fault in aviation communication; the recovery module makes corresponding recovery decisions for aviation communication based on the diagnosis result.

[0019] Through the above technical solution, the present application first collects the original data information related to air communication. These original data information include the operation data information of air communication equipment, communication signal index data information, and environmental data information. Then, preprocessing operations are performed on these data to obtain standard data information. The preprocessing steps include data cleaning and normalization processing. Data cleaning includes steps such as handling missing values, correcting error data, and removing noise data. Normalization processing can unify the dimensions and orders of magnitude of different data information in air communication to facilitate subsequent analysis and processing. Then, the fault diagnosis module analyzes based on the processed standard data information to determine whether there are faults and potential fault risks in the system. Once a corresponding fault is analyzed, the recovery module makes corresponding recovery decisions for air communication to achieve fault detection and rapid response of air communication. In this way, the present application can comprehensively analyze by combining the operation parameter data information of equipment in air communication and the index data of communication signals, and can more accurately judge the real-time faults of air communication. At the same time, when no faults occur, it can also analyze potential faults of air communication according to the equipment association impact situation and environmental impact situation of the communication system, so as to give early warnings to ensure communication quality.

[0020] The working method of the fault diagnosis module is as follows: First, obtain multiple operation data of the communication equipment. After taking the absolute value comparison of each operation data with its respective ideal operation data, then perform weighting to obtain the operation state value of the communication equipment ; Then, obtain multiple index data of the communication signal. After taking the absolute value comparison of various index data with their respective ideal index data, then perform weighting to obtain the signal state value of the communication signal ; Secondly, based on the operation state value and the signal state value , through the formula calculate the comprehensive state value . When , it is determined that there is a fault in air communication. is the state fault warning value set according to experience.

[0021] The above technical solution provides a method for judging the real-time faults of air communication. First, collect multiple operation parameters of air communication equipment in real time, such as the running temperature, response speed, CPU usage, etc. After taking the absolute value comparison of each operation data with its respective ideal operation data, then perform weighting according to the influence proportion of each operation data on fault judgment to obtain the operation state value of the communication equipment . It can be seen that if the operation state value The smaller the value, the closer the operating data are to the ideal operating data, and the lower the probability of a fault. Similarly, obtain multiple index data of the communication signal, such as signal-to-noise ratio, bit error rate, etc. Then, after comparing the absolute values of various index data with their respective ideal index data, perform weighting to obtain the signal status value of the communication signal. , it can be known that if the signal status value is smaller, it means that the index data of each communication signal are closer to their ideal data, and the lower the probability of a fault. Therefore, based on the operating status value and the signal status value , through the formula calculate the comprehensive status value . According to the value of the comprehensive status value, determine whether there is a real-time fault in the communication. The system sets a status fault warning value in advance based on historical data and experience. When

[0022] , it is determined that there is a fault in the aviation communication. In this way, by combining the operating parameter data information of the equipment in the aviation communication and the index data of the communication signal for comprehensive analysis, the real-time fault of the aviation communication can be judged more accurately. The working method of the fault diagnosis module also includes, when the aviation communication is normal, according to the monitored comprehensive status value draw up a function of the comprehensive status value changing with time , and draw up a diagnosis period, and construct a potential fault diagnosis model within the diagnosis period . The mathematical expression of the potential fault diagnosis model is ; input the obtained parameters into the potential fault diagnosis model , and record the output result as the latent fault coefficient . Similarly, draw up a judgment value of the latent fault coefficient based on empirical data. When , it is determined that there is a potential fault risk in the aviation communication; where is the node at the start of the diagnosis period, is the function of the standard comprehensive status value changing with time drawn up according to the historical operation data of the aviation communication, is the equipment correlation coefficient, is the environmental impact coefficient, and are their respective weight ratios; The equipment correlation coefficient The acquisition method is as follows: acquire the operating status values of all associated devices associated with the aviation communication device and the signal status values , and at the same time acquire the operating status values of all associated devices adjacent to the aviation communication device and the signal status values , Through the formula obtain the device correlation coefficient ; Among them, is the total number of associated devices, is the influence ratio of the i-th associated device, is the standard operating status value of the i-th associated device, is the standard signal status value of the i-th associated device, and , is the total number of adjacent devices, is the influence ratio of the j-th adjacent device, is the standard operating status value of the j-th adjacent device, is the standard signal status value of the j-th adjacent device, and ; And the acquisition method of the environmental impact coefficient is as follows: through the formula obtain the environmental impact coefficient ; Among them, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the air flow intensity value.

[0023] The above technical solution provides a method for judging potential faults in aviation communication. First, under normal aviation communication conditions, according to the monitored comprehensive status value draw up a function of the comprehensive status value changing with time , and draw up a diagnostic cycle, and construct a potential fault diagnosis model within the diagnostic cycle , and the mathematical expression of the potential fault diagnosis model is ; In the model is the node at the start of the diagnostic cycle, is the node at the end of the diagnostic cycle, is the function of the standard comprehensive status value changing with time drawn up according to the historical operation data of aviation communication, is the device correlation coefficient, is the environmental impact coefficient, and ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Are the respective weight ratios formulated according to the actual situation and experience, and the equipment correlation coefficient The acquisition method is: acquire the operating status values of all associated devices associated with the aviation communication device and the signal status values , and at the same time acquire the operating status values of all associated devices adjacent to the aviation communication device and the signal status values , and obtain the equipment correlation coefficient through the formula , where , is the total number of associated devices, is the influence ratio of the i-th associated device, determined according to the degree of association, and the higher the degree of association, the larger the ratio, is the standard operating status value of the i-th associated device, determined according to historical data, is the standard signal status value of the i-th associated device, determined according to historical data, and , is the total number of adjacent devices, is the influence ratio of the j-th adjacent device, determined according to the distance, and the closer the distance, the higher the ratio, is the standard operating status value of the j-th adjacent device, determined according to historical data, is the standard signal status value of the j-th adjacent device, determined according to historical data, and the environmental impact coefficient The acquisition method is: obtain the environmental impact coefficient through the formula , where , is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the air flow intensity value; it can be seen from the mathematical expression of the model that represents the cumulative difference change between the obtained comprehensive status value and the standard comprehensive status value. The larger the value, the greater the potential failure risk, and represents the slope change of the comprehensive status value of the diagnostic cycle. If the value is larger, the potential failure risk is greater; and it can be seen from the formula that represents the difference situation between the operating status values and signal status values of all associated devices and their respective standard values, It represents the difference between the operating status values and signal status values of all adjacent devices and their respective standard values. Generally speaking, when there may be a fault in the air communication, the devices associated with it will also be affected, and the adjacent devices located nearby may also be affected. Therefore, by combining the two situations and conducting a comprehensive analysis, the device correlation coefficient is obtained. , it can be known that the larger its value, the greater the potential fault risk of the air communication; similarly, the environment will also affect the communication quality. For example, strong electromagnetic interference, relative temperature value, relative humidity value, precipitation value, and air flow intensity value will all affect the communication quality. Therefore, obtain the electromagnetic interference intensity 、relative temperature value 、relative humidity value 、precipitation value 、air flow intensity value , and through the formula obtain the environmental impact coefficient , it can be known that the larger its value, the greater the impact on the communication quality, and the greater the potential fault risk of the air communication; so obtain the corresponding parameters and input the obtained parameters into the potential fault diagnosis model , and record the output result as the latent fault coefficient , and then draw up a latent fault coefficient judgment value according to the empirical data. When , it is determined that there is a potential fault risk in the air communication. Through this method, when there is no fault in the air communication, the potential fault risk of the air communication can be analyzed and judged according to the change of the comprehensive status value, the associated influence of the devices in the communication system, and the environmental influence, so as to give an early warning in advance to ensure the communication quality.

[0024] The working method of the recovery module is as follows: when it is judged that there is a fault in the air communication, determine the hierarchical response mechanism according to the comprehensive status value , specifically: When , it is judged as a minor fault, and at this time, each parameter is optimized; When , it is judged as a medium fault, and at this time, link switching is performed; When , it is judged as a severe fault, and at this time, system reconstruction is performed and the standby system is enabled; When it is judged that there is a potential fault risk in the air communication, fault troubleshooting is carried out at the corresponding position and a plan warning is made in advance.

[0025] The above solution provides a method for real-time response and recovery of faults. First, when it is judged that there is a fault in the air communication, according to the comprehensive status value To determine the hierarchical response mechanism, when occurs, it is determined as a minor fault. At this time, various parameters are optimized, such as AGC (Automatic Gain Control), pre-distortion compensation, etc. When occurs, it is determined as a medium fault. At this time, a link switch is performed, such as the switch between the main and backup lines; when occurs, it is determined as a severe fault. At this time, system reconstruction is carried out, and a backup system is enabled to ensure communication quality. When it is judged that there is a potential fault risk in the aviation communication, fault troubleshooting is carried out at the corresponding position and a plan warning is made in advance. In this way, different hierarchical responses can be set according to the fault situation, which can significantly improve the resource utilization efficiency and recovery efficiency, and enhance the security guarantee to ensure communication quality.

[0026] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

Claims

1. An intelligent fault diagnosis and recovery system in air communication, characterized in that, The system includes: an information acquisition module, an information processing module, a fault diagnosis module, and a recovery module; The information acquisition module is used to obtain the original data information related to aviation communication; The information processing module is used to preprocess the obtained original data information to obtain standard data information; The fault diagnosis module analyzes according to the standard data information to generate a comprehensive status value and a hidden fault coefficient to determine whether there is a fault or potential fault in aviation communication; The recovery module makes corresponding recovery decisions on aviation communication based on the diagnosis results.

2. The intelligent fault diagnosis and recovery system in an aviation communication according to claim 1, characterized in that, The original data information includes the operation data information of aviation communication equipment, communication signal index data information, and environmental data information.

3. An intelligent fault diagnosis and recovery system in an aviation communication according to claim 2, characterized in that, The working method of the fault diagnosis module is: First, obtain multiple operation data of the communication device. After comparing the absolute values of each operation data with their respective ideal operation data, perform weighting to obtain the operation status value of the communication device ; Then, obtain multiple index data of the communication signal. After comparing the absolute values of various index data with their respective ideal index data, perform weighting to obtain the signal status value of the communication signal. ; Finally, based on the operating status value and the signal status value , through the formula calculate the comprehensive status value . When , it is determined that there is a fault in the air communication is the status fault warning value set according to experience 4. An intelligent fault diagnosis and recovery system in an aviation communication according to claim 3, characterized in that, The working method of the fault diagnosis module further includes that, under normal aviation communication conditions, according to the monitored comprehensive status value formulate a function of the comprehensive status value changing with time , and formulate a diagnosis period to construct a potential fault diagnosis model within the diagnosis period , and the mathematical expression of the potential fault diagnosis model is ; input the obtained various parameters into the potential fault diagnosis model , and record the output result as the latent fault coefficient ; Similarly, a judgment value of the hidden fault coefficient is determined according to empirical data , when , it is determined that there is a potential fault risk in the aviation communication; Among them, is the node at the start of the diagnostic cycle, is the node at the end of the diagnostic cycle, is the function of the standard comprehensive status value varying with time formulated according to the historical operation data of air communication, is the equipment correlation coefficient, is the environmental impact coefficient, and are their respective weight ratios.

5. An intelligent fault diagnosis and recovery system in aviation communication according to claim 4, characterized in that, The device correlation coefficient The acquisition method is as follows: Obtain the operating status values of all associated devices associated with the aviation communication device and the signal status values , and at the same time obtain the operating status values of all associated devices adjacent to the aviation communication device and the signal status values ; Through the formula the device correlation coefficient is obtained ; wherein, is the total number of associated devices, is the influence ratio of the i-th associated device, is the standard operating status value of the i-th associated device, is the standard signal status value of the i-th associated device, and , is the total number of adjacent devices, is the influence ratio of the j-th adjacent device, is the standard operating status value of the j-th adjacent device, is the standard signal status value of the j-th adjacent device, and .

6. The intelligent fault diagnosis and recovery system in an aviation communication according to claim 4, wherein, The environmental impact coefficient The acquisition method is as follows: Through the formula the environmental impact coefficient is obtained ; Among them, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the air flow intensity value.

7. An intelligent fault diagnosis and recovery system in air communication according to claim 4, characterized in that, The working method of the recovery module is: When it is determined that there is a fault in the air communication, according to the comprehensive status value to determine the hierarchical response mechanism, specifically: When it is determined as a minor fault, and at this time, each parameter is optimized; When it is determined as a medium fault, and link switching is performed at this time; When it is judged as a severe fault, and at this time, system reconstruction is carried out and the standby system is enabled; When it is judged that there is a potential fault risk in aviation communication, fault investigation is carried out on the corresponding position and a plan warning is made in advance.

Images