An intelligent fault diagnosis and recovery system in aviation communications

Abstract

The present invention discloses an intelligent fault diagnosis and recovery system for aviation communications, belonging to the field of communication diagnosis technology. The system comprises: an information acquisition module for acquiring raw data related to aviation communications; an information processing module for preprocessing the acquired raw data; a fault diagnosis module for analyzing the acquired data to generate a comprehensive status value and a latent fault coefficient to determine whether there is a fault or potential fault in the aviation communications; and a recovery module for making corresponding recovery decisions for the aviation communications based on the diagnosis results. When determining that there is no fault in the aviation communications, the present invention can analyze and determine the potential fault risk of the aviation communications based on the changes in the calculated comprehensive status value, the associated impacts on the equipment of the communication system, and the environmental impacts, thereby providing early warning and processing to ensure communication quality.

Description

Technical Field

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

[0002] As a critical component of the air transportation system, aviation communications facilitate the exchange of information between flight crews and ground control, between aircraft, and within aircraft systems during flight. Their stable and reliable operation is directly related to flight safety, flight efficiency, and the economic benefits of aviation operations. Any failure in aviation communications systems can lead to interruptions, errors, or delays in information transmission, impacting flight decisions, the delivery of air traffic control instructions, and even jeopardizing flight safety. Therefore, aviation communications systems must possess extremely high security and reliability, enabling rapid and accurate diagnosis and recovery when failures occur, ensuring continuous and stable communications.

[0003] Existing methods for detecting aviation communication safety faults mostly rely on the alarm thresholds set by each module to make judgments and responses. However, since there is almost always a certain degree of correlation between the various systems in aviation communication systems, analysis and detection based only on the data of a single module is not accurate. In addition, existing aviation communication fault diagnosis modules mostly provide early warnings for real-time faults, but are unable to detect potential or impending faults, resulting in a lack of 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 communications to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An intelligent fault diagnosis and recovery system in aviation communications, the system comprising: an information acquisition module, an information processing module, a fault diagnosis module, and a recovery module;

[0007] The information acquisition module is used to obtain raw data information related to aviation communications;

[0008] The information processing module is used to pre-process the acquired raw data information to obtain standard data information;

[0009] The fault diagnosis module analyzes the standard data information to generate a comprehensive status value and a latent fault coefficient to determine whether there is a fault or potential fault in the aviation communication;

[0010] The recovery module makes corresponding recovery decisions for aviation communications based on the diagnosis results.

[0011] Furthermore, the original data information includes operation data information, communication signal index data information and environmental data information of aviation communication equipment.

[0012] Furthermore, the fault diagnosis module works as follows:

[0013] First, obtain multiple operating data of the communication equipment, compare the absolute value of each operating data with the respective ideal operating data, and then perform weighted calculation to obtain the operating status value of the communication equipment. ;

[0014] Then, multiple indicator data of the communication signal are obtained, and after comparing the absolute values ​​of various indicator data with their respective ideal indicator data, the signal state value of the communication signal is obtained by weighting. ;

[0015] Secondly, based on the running status value And the signal status value , through the formula Calculate the comprehensive status value ,when When the fault occurs, it is judged that there is a fault in aviation communication. It is the status fault warning value set based on experience.

[0016] Furthermore, the fault diagnosis module working method also includes, under normal aviation communication conditions, according to the monitored comprehensive status value Formulate a function for the change of comprehensive state value over time , and formulate a diagnosis cycle and build a potential fault diagnosis model within the diagnosis cycle , and potential fault diagnosis model The mathematical expression is ; Input the obtained parameters into the potential fault diagnosis model The output result is recorded as the hidden fault coefficient ;

[0017] Also, a hidden fault coefficient judgment value is formulated based on empirical data ,when When , it is judged that there is a potential failure risk in aviation communication;

[0018] in, is the node when the diagnosis cycle starts, This is the node at the end of the diagnostic cycle. The time-varying function of the standard comprehensive state value is formulated based on the historical operation data of aviation communications. is the equipment correlation coefficient, is the environmental impact coefficient, as well as are their respective weight proportions.

[0019] Furthermore, the device association coefficient The acquisition method is:

[0020] Get the operating status values ​​of all associated devices associated with the aviation communication equipment And the signal status value , and obtain the operating status values ​​of all associated devices adjacent to the aviation communication equipment And the signal status value ,

[0021] By formula Obtaining the equipment correlation coefficient ;

[0022] in, is the total number of associated devices, is the impact 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 jth adjacent device, is the standard operating status value of the jth adjacent device, is the standard signal state value of the jth adjacent device, and .

[0023] Furthermore, the environmental impact coefficient The acquisition method is:

[0024] By formula Determine the environmental impact coefficient ;

[0025] in, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the airflow intensity value.

[0026] Furthermore, the recovery module works as follows:

[0027] When it is judged that there is a fault in aviation communication, according to the comprehensive status value To determine the hierarchical response mechanism, specifically:

[0028] when If the fault is detected, it is considered a minor fault and various parameters should be adjusted.

[0029] when When , it is judged as a moderate fault and link switching is performed;

[0030] when If the fault is detected, it is considered a serious fault and the system is reconfigured and the backup system is activated.

[0031] When it is determined that there is a potential risk of failure in aviation communications, troubleshooting will be carried out at the corresponding location and a plan warning will be prepared in advance.

[0032] Beneficial effects of the present invention:

[0033] The present invention can combine the operating parameter data information of the equipment in aviation communication and the index data of the communication signal to perform comprehensive analysis, and can more accurately judge the real-time faults of aviation communication.

[0034] The present invention can also analyze and judge the potential failure risks of aviation communications based on the changes in the calculated comprehensive status value, the associated impacts on the equipment of the communication system, and the environmental impacts when it is determined that there is no failure in aviation communications, thereby providing early warning and ensuring communication quality.

[0035] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 This is a system module block diagram of the present invention. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0039] In one embodiment, an intelligent fault diagnosis and recovery system in aviation communications is disclosed, such as Figure 1 As shown, the system mainly includes: information acquisition module, information processing module, fault diagnosis module and recovery module;

[0040] Among them, the information acquisition module is used to obtain original data information related to aviation communications. These original data information include operating data information of aviation communication equipment, communication signal indicator data information and environmental data information; the information processing module is used to pre-process the acquired original data information to obtain standard data information; the fault diagnosis module analyzes the standard data information to generate a comprehensive status value and a latent fault coefficient to determine whether there is a fault or potential fault in the aviation communication; the recovery module makes corresponding recovery decisions for the aviation communication based on the diagnosis results.

[0041] Through the above technical solution, the present application first collects raw data information related to aviation communications. This raw data information includes operational data information of aviation communication equipment, communication signal indicator data information, and environmental data information. Then, this data is preprocessed to obtain standard data information. The preprocessing step includes data cleaning and normalization. Data cleaning includes steps such as processing missing values, correcting erroneous data, and removing noise data. Normalization can unify the dimensions and orders of magnitude of different data information in aviation communications to facilitate subsequent analysis and processing. Then, the fault diagnosis module analyzes the processed standard data information to determine whether the system has faults and potential fault risks. Once the corresponding fault is analyzed, the recovery module makes corresponding recovery decisions for aviation communications, thereby achieving fault detection and rapid response for aviation communications. In this way, the present application can combine the operational parameter data information of aviation communication equipment and the indicator data of communication signals for comprehensive analysis, which can more accurately judge real-time aviation communication faults. At the same time, when no fault occurs, it can also analyze potential aviation communication faults based on the impact of equipment associations and environmental impacts on the communication system, thereby providing early warnings to ensure communication quality.

[0042] The working method of the fault diagnosis module is as follows: first, multiple operating data of the communication equipment are obtained, and after comparing the absolute value of each operating data with the respective ideal operating data, the operating status value of the communication equipment is obtained by weighting. ;

[0043] Then, multiple indicator data of the communication signal are obtained, and after comparing the absolute values ​​of various indicator data with their respective ideal indicator data, the signal state value of the communication signal is obtained by weighting. ;

[0044] Secondly, based on the running status value And the signal status value , through the formula Calculate the comprehensive status value ,when When the fault occurs, it is judged that there is a fault in aviation communication. It is the status fault warning value set based on experience.

[0045] The above technical solution provides a method for judging real-time faults in aviation communications. First, multiple operating parameters of aviation communication equipment, such as operating temperature, response speed, CPU usage, etc., are collected in real time. After comparing the absolute values ​​of each operating data with their respective ideal operating data, the operating status value of the communication equipment is obtained by weighting according to the influence of each operating data on the fault judgment. , we can see that if the running status value The smaller the value, the closer the various operating data are to the ideal operating data, and the smaller the possibility of failure. Similarly, multiple indicator data of the communication signal are obtained, such as signal-to-noise ratio, bit error rate, etc., and then the absolute values ​​of various indicator data are compared with their respective ideal indicator data, and then the signal state value of the communication signal is obtained by weighting. , we can see that if the signal state value The smaller the value, the closer the communication signal indicator data is to its ideal data, and the smaller the possibility of failure. And the signal status value , through the formula Calculate the comprehensive status value , based on the value of the comprehensive status value to determine whether there is a real-time communication failure, the system sets a status failure warning value in advance based on historical data and experience ,when In this way, a comprehensive analysis of the operating parameter data of the aviation communication equipment and the indicator data of the communication signal can be combined to more accurately judge the real-time failure of aviation communication.

[0046] The fault diagnosis module working method also includes, under normal aviation communication conditions, according to the monitored comprehensive status value Formulate a function for the change of comprehensive state value over time , and formulate a diagnosis cycle and build a potential fault diagnosis model within the diagnosis cycle , and potential fault diagnosis model The mathematical expression is ; Input the obtained parameters into the potential fault diagnosis model The output result is recorded as the hidden fault coefficient ;

[0047] Also, a hidden fault coefficient judgment value is formulated based on empirical data ,when When , it is judged that there is a potential failure risk in aviation communication;

[0048] in, is the node when the diagnosis cycle starts, This is the node at the end of the diagnostic cycle. The time-varying function of the standard comprehensive state value is formulated based on the historical operation data of aviation communications. is the equipment correlation coefficient, is the environmental impact coefficient, as well as is the weight ratio of each;

[0049] The equipment correlation coefficient The acquisition method is: Get the operating status values ​​of all associated devices associated with the aviation communication equipment And the signal status value , and obtain the operating status values ​​of all associated devices adjacent to the aviation communication equipment And the signal status value ,

[0050] By formula Obtaining the equipment correlation coefficient ;

[0051] in, is the total number of associated devices, is the impact 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 jth adjacent device, is the standard operating status value of the jth adjacent device, is the standard signal state value of the jth adjacent device, and ;

[0052] The environmental impact coefficient The method of obtaining is: through the formula Determine the environmental impact coefficient ;

[0053] in, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the airflow intensity value.

[0054] The above technical solution provides a method for judging potential failures of aviation communications. First, under normal aviation communications conditions, the monitored comprehensive status value is used to determine the potential failures of aviation communications. Formulate a function for the change of comprehensive state value over time , and formulate a diagnosis cycle and build a potential fault diagnosis model within the diagnosis cycle , and potential fault diagnosis model The mathematical expression is ; In the model is the node when the diagnosis cycle starts, This is the node at the end of the diagnostic cycle. The time-varying function of the standard comprehensive state value is formulated based on the historical operation data of aviation communications. is the equipment correlation coefficient, is the environmental impact coefficient, as well as The weight ratios of the devices are determined based on the actual situation and experience. The acquisition method is: Get the operating status values ​​of all associated devices associated with the aviation communication equipment And the signal status value , and obtain the operating status values ​​of all associated devices adjacent to the aviation communication equipment And the signal status value , through the formula Obtaining the equipment correlation coefficient ,in, is the total number of associated devices, is the impact ratio of the i-th associated device, which is determined by the degree of association. The higher the degree of association, the greater the proportion. is the standard operating status value of the i-th associated device, determined based on historical data, is the standard signal status value of the i-th associated device, determined based on historical data, and , is the total number of adjacent devices, is the influence ratio of the jth adjacent device, which is determined by the distance between them. The closer they are, the higher the ratio. is the standard operating status value of the jth adjacent device, determined based on historical data, is the standard signal state value of the jth adjacent device, determined according to historical data, and the environmental impact coefficient The method of obtaining is: through the formula Determine the environmental impact coefficient ,in, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the airflow intensity value; from the mathematical expression of the model, it can be seen that Represents the comprehensive status value obtained The greater the cumulative difference from the standard comprehensive status value, the greater the potential failure risk. It indicates the slope change of the comprehensive status value of the diagnosis cycle. If the value is larger, the potential fault risk is greater. It can be seen that It is expressed as the difference between the operating status values ​​of all associated devices and the signal status values ​​and their respective standard values. It is expressed as the difference between the operating status values ​​of all adjacent devices and the signal status values ​​and their respective standard values. Generally speaking, when there is a possible failure in aviation communication, the equipment associated with it will also be affected. Similarly, the adjacent equipment located nearby may also be affected. Therefore, a comprehensive analysis of the two situations is conducted to obtain the equipment correlation coefficient. , it can be seen that the larger the value, the greater the potential failure risk of aviation communication; similarly, the environment will also affect the communication quality. For example, strong electromagnetic interference, relative temperature value, relative humidity value, precipitation value, and airflow intensity value will all affect the communication quality. Therefore, the electromagnetic interference intensity of the area where the aviation communication equipment is located is obtained. , relative temperature value , relative humidity value , precipitation value , airflow intensity value , through the formula Determine the environmental impact coefficient , it can be seen that the larger the value, the greater the impact on communication quality, and the greater the potential failure risk of aviation communication; so the corresponding parameters are obtained and the obtained parameters are input into the potential fault diagnosis model The output result is recorded as the hidden fault coefficient , and then formulate a hidden fault coefficient judgment value based on empirical data ,when When the value is 0, it is determined that there is a potential failure risk in aviation communications. In this way, when there is no aviation communication failure, the potential failure risk of aviation communications can be analyzed and judged based on the changes in the comprehensive status value, the impact of the communication system equipment, and the environmental impact, thereby providing early warning and ensuring communication quality.

[0055] The working method of the recovery module is: when it is determined that there is a fault in aviation communication, according to the comprehensive status value To determine the hierarchical response mechanism, specifically:

[0056] when If the fault is detected, it is considered a minor fault and various parameters should be adjusted.

[0057] when When , it is judged as a moderate fault and link switching is performed;

[0058] when If the fault is detected, it is considered a serious fault and the system is reconfigured and the backup system is activated.

[0059] When it is determined that there is a potential risk of failure in aviation communications, troubleshooting will be carried out at the corresponding location and a plan warning will be prepared in advance.

[0060] The above scheme provides a method for real-time response and recovery of faults. First, when it is determined that there is a fault in aviation communication, the comprehensive status value To determine the graded response mechanism, If it is a minor fault, various parameters should be tuned, such as AGC automatic gain control, pre-distortion compensation, etc. When , it is judged as a moderate fault, and link switching is performed, such as switching between the main and backup lines; when If a fault occurs, it is considered a serious failure. A system reconstruction is then performed, and a backup system is activated to ensure communication quality. If a potential aviation communication failure risk is identified, the corresponding location is investigated and a plan is prepared in advance. This allows for different levels of response based on the fault condition, significantly improving resource utilization and recovery efficiency, while also enhancing safety and ensuring communication quality.

[0061] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent fault diagnosis and recovery system in aviation communications, 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 raw data information related to aviation communications, wherein the raw data information includes operation data information of aviation communication equipment, communication signal indicator data information and environmental data information; The information processing module is used to pre-process the acquired raw data information to obtain standard data information; The fault diagnosis module analyzes the standard data information to generate a comprehensive status value and a latent fault coefficient to determine whether there is a fault or potential fault in the aviation communication; The recovery module makes corresponding recovery decisions for aviation communications based on the diagnosis results; The working method of the fault diagnosis module is as follows: first, multiple operation data of the communication device are obtained, and after comparing the absolute value of each operation data with the respective ideal operation data, the operation status value of the communication device is obtained by weighting. ,Operation data include operating temperature, response speed, and CPU usage; Then, multiple indicator data of the communication signal are obtained, and after comparing the absolute values ​​of various indicator data with their respective ideal indicator data, the signal state value of the communication signal is obtained by weighting. ,Indicator data include signal-to-noise ratio and bit error rate; Finally, based on the running status value And the signal status value , through the formula Calculate the comprehensive status value ,when When the fault occurs, it is judged that there is a fault in aviation communication. It is the status fault warning value set based on experience.

2. The intelligent fault diagnosis and recovery system in aviation communications according to claim 1, characterized in that: The fault diagnosis module working method also includes, under normal aviation communication conditions, according to the monitored comprehensive status value Formulate a function for the change of comprehensive state value over time , and formulate a diagnosis cycle and build a potential fault diagnosis model within the diagnosis cycle , and potential fault diagnosis model The mathematical expression is ; Input the obtained parameters into the potential fault diagnosis model The output result is recorded as the hidden fault coefficient ; Also, a hidden fault coefficient judgment value is formulated based on empirical data ,when When , it is judged that there is a potential failure risk in aviation communication; in, is the node when the diagnosis cycle starts, This is the node at the end of the diagnostic cycle. The time-varying function of the standard comprehensive state value is formulated based on the historical operation data of aviation communications. is the equipment correlation coefficient, is the environmental impact coefficient, as well as are their respective weight proportions.

3. The intelligent fault diagnosis and recovery system in aviation communications according to claim 2, characterized in that: The equipment correlation coefficient The acquisition method is: Get the operating status values ​​of all associated devices associated with the aviation communication equipment And the signal status value , and obtain the operating status values ​​of all associated devices adjacent to the aviation communication equipment And the signal status value ; By formula Obtaining the equipment correlation coefficient ; in, is the total number of associated devices, is the impact 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 jth adjacent device, is the standard operating status value of the jth adjacent device, is the standard signal state value of the jth adjacent device, and .

4. The intelligent fault diagnosis and recovery system in aviation communications according to claim 3, characterized in that: The environmental impact coefficient The acquisition method is: By formula Determine the environmental impact coefficient ; in, is the electromagnetic interference intensity, is the relative temperature value, is the relative humidity value, is the precipitation value, is the airflow intensity value.

5. The intelligent fault diagnosis and recovery system in aviation communications according to claim 4, characterized in that: The recovery module works as follows: When it is judged that there is a fault in aviation communication, according to the comprehensive status value To determine the hierarchical response mechanism, specifically: when If the fault is detected, it is considered a minor fault and various parameters should be adjusted. when When , it is judged as a moderate fault and link switching is performed; when If the fault is detected, it is considered a serious fault, and the system is reconfigured and the backup system is activated. When it is determined that there is a potential risk of failure in aviation communications, troubleshooting will be carried out at the corresponding location and a plan warning will be prepared in advance.

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