CN114841656B - Military aircraft fault detection method and system based on edge calculation - Google Patents

Military aircraft fault detection method and system based on edge calculation Download PDF

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CN114841656B
CN114841656B CN202210336978.XA CN202210336978A CN114841656B CN 114841656 B CN114841656 B CN 114841656B CN 202210336978 A CN202210336978 A CN 202210336978A CN 114841656 B CN114841656 B CN 114841656B
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余丹
兰雨晴
张腾怀
邢智涣
王丹星
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China Standard Intelligent Security Technology Co Ltd
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Abstract

The application provides a military aircraft fault detection method and system based on edge calculation, and relates to the technical field of detection. The method collects different detection requirements of different airplanes; identifying and judging different detection targets through edge calculation nodes according to different collected detection requirements of different airplanes; then, automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result; and then, carrying out refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result. It can be seen that the embodiment of the application can reduce the most initial detection content of technicians, improve the detection efficiency, and can assist in improving the detection accuracy at the accurate detection part.

Description

Military aircraft fault detection method and system based on edge calculation
Technical Field
The application relates to the technical field of detection, in particular to a military aircraft fault detection method and system based on edge calculation.
Background
Modern high-technology aviation equipment adopts a large number of new technologies and new methods, the performance of the equipment is continuously improved, the complexity is greatly increased, and therefore higher requirements on the maintainability of the airplane are provided. The military aircraft is provided with a detection system and detection equipment, and the aircraft is prevented from being in fault and safety accidents through strict troubleshooting. However, due to the need for confidentiality, the device cannot timely guarantee update iteration of the device, and manual inspection cannot guarantee accuracy and efficiency. Therefore, there is a need to solve this technical problem.
Disclosure of Invention
In view of the above problems, the present application is provided to provide a method and a system for detecting a fault of a military aircraft based on edge calculation, which overcome or at least partially solve the above problems, reduce the initial detection content of technicians, improve the detection efficiency, and at the same time, assist in improving the detection accuracy in a precise detection part. The technical scheme is as follows:
in a first aspect, a method for detecting a fault of a military aircraft based on edge calculation is provided, which comprises the following steps:
collecting different detection requirements of different airplanes;
identifying and judging different detection targets through edge computing nodes according to different collected detection requirements of different airplanes;
automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result;
and carrying out refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result.
In a possible implementation manner, after performing refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result, the method further includes:
analyzing and evaluating the fault repairing time of the airplane according to the comprehensive fault detection result;
generating a detection report containing the comprehensive fault detection result and the fault repair time;
and submitting the detection report to a specified terminal device, so that the detection report is submitted to a worker carrying the specified terminal device.
In one possible implementation, analyzing and evaluating the fault repair time of the aircraft according to the comprehensive fault detection result includes:
acquiring a pre-constructed average repair time model;
and inputting the comprehensive fault detection result into the average repair time model, and predicting the average repair time of the fault corresponding to the comprehensive fault detection result by using the average repair time model to obtain the average repair time of the fault corresponding to the comprehensive fault detection result analysis.
In one possible implementation manner, the average repair time model is:
Figure GDA0003856431830000021
wherein
Figure GDA0003856431830000022
In order to average the repair time of a failure,
Figure GDA0003856431830000023
m is the sum of maintenance time and the total number of faults.
In a possible implementation manner, submitting the detection report to a specified terminal device, so as to submit the detection report to a worker who carries the specified terminal device, includes:
and arranging a wireless gateway, sending the detection report to the arranged wireless gateway, sending the detection report to a specified terminal device through the arranged wireless gateway, and submitting the detection report to a worker carrying the specified terminal device.
In a possible implementation manner, the identifying and determining, by the edge computing node, different detection targets according to the collected different detection requirements of different airplanes includes:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes in communication with a collection unit for collecting different detection requirements of different airplanes;
determining an edge computing node in a working state in the one or more edge computing nodes;
and sending the collected different detection requirements of different airplanes to the edge computing node in a working state in real time.
In one possible implementation, the collecting different detection requirements of different airplanes includes:
receiving input of different detection requirements of different airplanes; and/or
And reading text contents containing different detection requirements of different airplanes to obtain different detection requirements of different airplanes.
In a possible implementation manner, due to the particularity and confidentiality of the military aircraft, after the detection report is submitted to a specified terminal device, a worker needs to upload a worker number for checking the report, upload a head portrait acquisition image of the worker for checking the report and upload a file screenshot for checking and signing the report on the terminal device to check the detection report on the terminal device, and the operation of the three steps can be completed before entering a checking stage of the detection report;
after the staff finishes checking the detection report, the terminal equipment generates a staff number with the check report according to the checking duration of the detection report and the checking progress of the detection report, the staff who checks the report collects image data and the checking data of the file data signed by the staff who checks the report on the terminal equipment, and uploads the checking data to a military server so that the checking condition of the detection report can be known later, and people can be responsible for the responsibility, which comprises the following specific steps,
step A1: judging whether the serial number is a worker with a reference permission or not according to the serial number uploaded by the worker through the terminal equipment by using a formula (1)
Figure GDA0003856431830000031
Wherein S represents a terminal deviceA reference permission judgment value of the number to be uploaded is prepared; d 2 The binary form of the staff numbers representing the viewing reports uploaded by the terminal equipment; [ Z ] 2 (i)]A binary form representing the ith staff number with the reference authority;
Figure GDA0003856431830000032
representing a bitwise exclusive or; sum { } denotes the total sum over each bit of binary data within the brackets; n represents the total number of digits in binary form of the staff number; f { } represents a zero check function, and if the numerical value in the brackets is 0, the function value is 1, otherwise, the function value is 0;
if S =1, indicating that the staff number uploaded by the terminal equipment has the reference authority;
if S =0, the number of the staff uploaded by the terminal equipment is not referred to, no subsequent operation is carried out, and a new number of the staff is waited to be uploaded;
step A2: controlling the authority lock of the detection report on the terminal equipment according to the authority judgment result of the step A1, the head portrait of the staff viewing the report, the uploading result of the reference data of the file data viewing the signature on the terminal equipment by the staff viewing the report and the formula (2)
Figure GDA0003856431830000041
Wherein Q represents the authority lock closing value of the detection report on the terminal equipment; g 2 A binary representation of the image data captured by the avatar of the staff viewing the report; r (G) 2 ) A check value indicating whether or not a face exists in the data of the head portrait collection image of the worker who analyzed the viewing report by face recognition (R (G) if a face is detected in the data 2 ) =1, otherwise R (G) 2 )＝0)；Y 2 The binary form of the document data representing the signature of the checking of the staff who checks the report on the terminal equipment; c (Y) 2 ) Represents the above Y 2 Return value of successful data upload (if upload is successful, C (Y) 2 ) =1, otherwiseC(Y 2 )＝0)；S,R(G 2 ),C(Y 2 ) Three arrays representing commas separated in order become binary numbers; {} 10 Indicating that the value in parentheses is converted to decimal;
if Q =1, controlling an authority lock of a detection report on the terminal equipment to close, namely the staff can check the detection report;
if Q =0, not controlling the authority lock of the detection report on the terminal equipment;
step A3: generating a staff number with a check report according to the check duration of the check report and the check progress of the check report by using a formula (3), wherein the staff who check the report collects image data in head portrait and checks signed file data on the terminal equipment
Figure GDA0003856431830000042
Wherein N is 2 Representing the review worker generated review data (in binary form) for viewing; len () represents the number of bits for which data in parentheses is found; [] 2 Indicating that the numerical value in the parentheses is converted into a binary number;
Figure GDA0003856431830000051
the method includes the steps that the digit of a binary number below a bracket is complemented into 8 bits, namely the data is kept unchanged when the digit of the data is 8 bits, if the digit of the data is less than 8 bits, 0 is complemented in front of the data until 8 bits are complemented (the situation that the digit is more than 8 bits cannot occur, because the digit of the data is controlled within 8 bits); t represents a numerical value of the checking duration of the detection report; m represents the value of the starting viewing page value of the detection report; l represents the value of the detection report termination view page value.
In a second aspect, there is provided an edge calculation based military aircraft fault detection system comprising:
the collecting unit is used for collecting different detection requirements of different airplanes;
the identification unit is used for identifying and judging different detection targets through edge calculation nodes according to different collected detection requirements of different airplanes;
the first detection unit is used for automatically classifying the detection targets according to different characteristics of different airplanes to obtain a preliminary detection result;
and the second detection unit is used for carrying out refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result.
In a possible implementation manner, the system further includes a report submitting unit, configured to analyze and evaluate the fault repair time of the aircraft according to the comprehensive fault detection result after the second detection unit performs refined detection on corresponding preset items of different aircraft based on the preliminary detection result to obtain a comprehensive fault detection result; generating a detection report containing the comprehensive fault detection result and the fault repair time; and submitting the detection report to a specified terminal device, so that the detection report is submitted to a worker carrying the specified terminal device.
In one possible implementation, the report submitting unit is further configured to:
acquiring a pre-constructed average repair time model;
and inputting the comprehensive fault detection result into the average repair time model, and predicting the average repair time of the fault corresponding to the comprehensive fault detection result by using the average repair time model to obtain the average repair time of the fault corresponding to the comprehensive fault detection result analysis.
By means of the technical scheme, the military aircraft fault detection method and system based on the edge calculation can collect different detection requirements of different aircrafts; identifying and judging different detection targets through edge computing nodes according to different collected detection requirements of different airplanes; then, automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result; and then, carrying out refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result. It can be seen that the embodiment of the application can reduce the most initial detection content of technicians, improve the detection efficiency, and can assist in improving the detection accuracy at the accurate detection part.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
FIG. 1 is a flow chart illustrating a method for military aircraft fault detection based on edge calculation in accordance with an embodiment of the present application;
FIG. 2 shows a flow diagram of a military aircraft fault detection method based on edge calculation according to another embodiment of the present application;
FIG. 3 is a block diagram illustrating an edge calculation based military aircraft fault detection apparatus according to an embodiment of the present application;
FIG. 4 shows a block diagram of an edge calculation based military aircraft fault detection apparatus according to another embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that such uses are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the term "include" and its variants are to be read as open-ended terms meaning "including, but not limited to".
The embodiment of the application provides a military aircraft fault detection method based on edge calculation. As shown in fig. 1, the method for detecting a fault of a military aircraft based on edge calculation may include the following steps S101 to S104:
step S101, collecting different detection requirements of different airplanes;
step S102, identifying and judging different detection targets through edge computing nodes according to different collected detection requirements of different airplanes;
step S103, automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result;
and S104, carrying out fine detection on corresponding preset items of different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result.
The method and the device can collect different detection requirements of different airplanes; identifying and judging different detection targets through edge calculation nodes according to different collected detection requirements of different airplanes; then, automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result; and then, carrying out refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result. It can be seen that the embodiment of the application can reduce the most initial detection content of technicians, improve the detection efficiency, and can assist in improving the detection accuracy at the accurate detection part.
In the embodiment of the present application, a possible implementation manner is provided, where in the step S104, after performing refined detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result, the following steps a1 to a3 may also be included:
a1, analyzing and evaluating the fault repair time of the airplane according to the comprehensive fault detection result;
step a2, generating a detection report containing a comprehensive fault detection result and fault repair time;
and a3, submitting the detection report to the specified terminal equipment, so that the detection report is submitted to a worker carrying the specified terminal equipment.
The embodiment of the application can analyze and evaluate the fault repairing time of the airplane according to the comprehensive fault detection result, further generate the detection report containing the comprehensive fault detection result and the fault repairing time, and then submit the detection report to the appointed terminal equipment, so that the detection report is submitted to the staff carrying the appointed terminal equipment, the staff can conveniently acquire the detection report, the airplane can be evaluated and maintained according to the detection report, and the efficiency of detection and maintenance is improved.
The embodiment of the application provides a possible implementation manner, and the step a1 of analyzing and evaluating the fault repair time of the aircraft according to the comprehensive fault detection result specifically comprises the following steps a1-1 and a1-2:
step a1-1, acquiring a pre-constructed average repair time model;
step a1-2, inputting the comprehensive fault detection result into an average repair time model, and predicting the average repair time of the fault corresponding to the comprehensive fault detection result by using the average repair time model to obtain the average repair time of the fault corresponding to the comprehensive fault detection result analysis.
According to the method and the device, the average repair time model which is constructed in advance is obtained, the comprehensive fault detection result is input into the average repair time model, the average repair time model is used for predicting the average repair time of the fault corresponding to the comprehensive fault detection result, the average repair time of the fault corresponding to the comprehensive fault detection result is obtained, and the average repair time of the fault corresponding to the comprehensive fault detection result can be accurately and efficiently calculated.
In the embodiment of the present application, a possible implementation manner is provided, and the average repair time model mentioned in the above step a1-1 may be:
Figure GDA0003856431830000081
wherein
Figure GDA0003856431830000082
In order to average the repair time of a failure,
Figure GDA0003856431830000083
m is the sum of maintenance time and the total number of faults.
According to the method and the device, the actual condition of the fault is combined, and the average fault repairing time corresponding to the analysis of the comprehensive fault detection result can be accurately and efficiently calculated.
In the embodiment of the present application, a possible implementation manner is provided, where in step a3, the detection report is submitted to the specified terminal device, so that the detection report is submitted to the staff carrying the specified terminal device, specifically, the wireless gateway is arranged, the detection report is sent to the arranged wireless gateway, and the detection report is sent to the specified terminal device through the arranged wireless gateway, so that the detection report is submitted to the staff carrying the specified terminal device.
In the embodiment of the present application, a possible implementation manner is provided, where in step S101, different detection requirements of different airplanes are collected, and specifically, the different detection requirements of the different airplanes that are directly received and input may be different detection requirements; and/or reading text contents containing different detection requirements of different airplanes to obtain different detection requirements of different airplanes.
In the embodiment of the present application, a possible implementation manner is provided, where in the step S102, according to the collected different detection requirements of different airplanes, different detection targets are identified and judged through an edge computing node, and the method specifically includes the following steps B1 to B3:
b1, arranging one or more edge computing nodes, and connecting the one or more edge computing nodes with collecting units for collecting different detection requirements of different airplanes in a communication manner;
b2, determining the edge computing node in a working state in one or more edge computing nodes;
and B3, sending the collected different detection requirements of different airplanes to the edge computing node in the working state in real time.
The embodiment of the application can be combined with the proper edge computing node to identify and judge different detection targets, and can improve the detection efficiency and accuracy.
Due to the particularity and confidentiality of the military aircraft, after the detection report is submitted to a specified terminal device in the step a3, if a worker wants to check the detection report, the worker also needs to upload a number of the worker checking the report on the terminal device, upload a head portrait acquisition image of the worker checking the report and upload a file screenshot for checking the signature of the worker checking the report on the terminal device, and the worker can enter a checking stage of the detection report after the operation of the three steps is completed;
after the staff finishes checking the detection report, the terminal equipment generates a staff number with the checking report according to the checking time length of the detection report and the checking progress of the detection report, the staff who checks the report collects the image data and the checking data of the file data signed by the staff who checks the report on the terminal equipment, and uploads the checking data to the military server so that the checking condition of the detection report can be known later, thereby being capable of accountable for people and being responsible for affairs, and the method comprises the following specific steps of,
step A1: judging whether the serial number is the staff with the consulting authority or not according to the serial number uploaded by the staff through the terminal equipment by using a formula (1)
Figure GDA0003856431830000091
Wherein S represents a reference permission judgment value of an uploading number of the terminal equipment; d 2 A binary form representing a staff number of a viewing report uploaded by the terminal device; [ Z ] 2 (i)]A binary form representing the ith staff number with the reference authority;
Figure GDA0003856431830000101
representing a bitwise exclusive-or; sum { } denotes the sum of all bits of binary data in parentheses; n tableA total number of digits in binary form representing a staff number; f { } represents a zero check function, and if the numerical value in the brackets is 0, the function value is 1, otherwise, the function value is 0;
if S =1, indicating that the staff number uploaded by the terminal equipment has the reference authority;
if S =0, the fact that the staff number uploaded by the terminal equipment has no reference authority is represented, no subsequent operation is carried out, and a new staff number is waited to be uploaded;
step A2: controlling an authority lock of the detection report on the terminal equipment according to the authority judgment result in the step A1, the head portrait of the staff viewing the report, the image data collected by the staff viewing the report and the uploading result of the reference data of the document data viewing the signature on the terminal equipment by the staff viewing the report by using a formula (2)
Figure GDA0003856431830000102
Wherein Q represents the authority lock closing value of the detection report on the terminal equipment; g 2 A binary representation of the image data captured by the avatar of the staff viewing the report; r (G) 2 ) A check value indicating whether or not a face exists in the face image data collected by the worker who views the report by face recognition analysis (R (G) if a face is detected in the data 2 ) =1, otherwise R (G) 2 )＝0)；Y 2 The binary form of the document data representing the signature of the checking of the staff who checks the report on the terminal equipment; c (Y) 2 ) Represents Y 2 Return value of successful data upload (if upload is successful, C (Y) 2 ) =1, otherwise C (Y) 2 )＝0)；S,R(G 2 ),C(Y 2 ) Three arrays representing commas separated in order become binary numbers; {} 10 Indicating that the value in parentheses is converted to decimal;
if Q =1, the authority lock of the detection report on the terminal equipment is controlled to be closed, namely, the staff can check the detection report;
if Q =0, the authority lock of the detection report on the terminal equipment is not controlled;
step A3: generating a staff number with the checking report according to the checking duration of the checking report and the checking progress of the checking report by using a formula (3), acquiring image data by the head of the staff checking the report and checking the checking data of the signed document data on the terminal equipment by the staff checking the report
Figure GDA0003856431830000111
Wherein N is 2 Representing the staff-generated review data (in binary form) viewed; len () represents the number of bits for which data in parentheses is found; [] 2 Indicating that the numerical value in the parentheses is converted into a binary number;
Figure GDA0003856431830000112
the method includes the steps that the digit of a binary number below a bracket is complemented into 8 bits, namely the data is kept unchanged when the digit of the data is 8 bits, if the digit of the data is less than 8 bits, 0 is complemented in front of the data until 8 bits are complemented (the situation that the digit is more than 8 bits cannot occur, because the digit of the data is controlled within 8 bits); t represents a numerical value of the checking duration of the detection report; m represents the value of the starting viewing page value of the detection report; l represents a value of the detection report termination view page value.
The beneficial effects of the above technical scheme are: firstly, judging whether the serial number is a worker with a consulting authority or not by using a formula (1) in the step A1 according to the serial number uploaded by the worker through the terminal equipment, and further strictly forbidding the worker without the consulting authority to check to ensure the safety of a report; secondly, controlling the authority lock of the detection report on the terminal equipment according to the authority judgment result in the step A1, the head portrait of the worker viewing the report, the uploading result of the reference data of the document data viewed by the worker viewing the report on the terminal equipment and the uploading result of the reference data of the document data viewed by the worker viewing the report by using a formula (2) in the step A2, and further having an absolute monitoring authority for the person viewing the detection report so as to ensure that the person can be responsible for the follow-up; and finally, generating a staff number with a check report according to the check time length of the detection report and the check progress of the detection report by utilizing a formula (3) in the step A3, wherein the staff number with the check report is acquired by head portraits of the staff checking the report and the check data of the signed file data are checked by the staff checking the report on the terminal equipment, so that the serial number of the checked staff and the check time length page number of the checked staff, the face information and the signature information of the checked staff can be analyzed according to the data when the check data are checked, and the staff can be responsible for the staff and the task.
While various implementations of the various elements of the embodiment shown in fig. 1 are described above, the implementation of the method for detecting a fault of a military aircraft based on edge calculation will be described in detail with specific embodiments.
Another embodiment of the present application provides a method for detecting a fault of a military aircraft based on edge calculation, as shown in fig. 2, the method for detecting a fault of a military aircraft based on edge calculation may include the following steps S201 to S209.
Step S201, collecting different detection requirements of different airplanes.
In this step, the input of different detection requirements of different airplanes can be directly received; and/or reading text contents containing different detection requirements of different airplanes to obtain different detection requirements of different airplanes.
Step S202, one or more edge computing nodes are arranged and are in communication connection with a collecting unit used for collecting different detection requirements of different airplanes.
In step S203, the edge computing node in the working state is determined from the one or more edge computing nodes.
And step S204, transmitting the collected different detection requirements of different airplanes to the edge computing node in the working state in real time.
And S205, automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result.
And S206, carrying out fine detection on corresponding preset items of different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result.
And step S207, analyzing and evaluating the fault repairing time of the airplane according to the comprehensive fault detection result.
In this step, a previously constructed average repair time model may be obtained; and then inputting the comprehensive fault detection result into the average repair time model, and predicting the average repair time of the fault corresponding to the comprehensive fault detection result by using the average repair time model to obtain the average repair time of the fault corresponding to the comprehensive fault detection result analysis.
Step S208 generates a detection report including the integrated fault detection result and the fault repair time.
And step S209, submitting the detection report to the specified terminal equipment, thereby submitting the detection report to a worker carrying the specified terminal equipment.
According to the embodiment of the application, the most initial detection content of technicians can be reduced, the detection efficiency is improved, and meanwhile, the accuracy of detection can be improved in the accurate detection part.
It should be noted that, in practical applications, all the possible embodiments described above may be combined in any combination manner to form possible embodiments of the present application, and details are not described herein again.
Based on the military aircraft fault detection method based on edge calculation provided by the embodiments, the embodiments of the present application further provide a military aircraft fault detection device based on edge calculation based on the same inventive concept.
FIG. 3 is a block diagram illustrating an edge calculation based military aircraft fault detection apparatus according to an embodiment of the present application. As shown in FIG. 3, the military aircraft fault detection apparatus based on edge calculation may include a collection unit 310, an identification unit 320, a first detection unit 330, and a second detection unit 340.
A collecting unit 310 for collecting different detection requirements of different aircraft;
the identifying unit 320 is configured to identify and judge different detection targets through the edge computing node according to the collected different detection requirements of different airplanes;
the first detection unit 330 is configured to automatically classify the detection targets according to different characteristics of different airplanes, so as to obtain a preliminary detection result;
and the second detection unit 340 is configured to perform refined detection on corresponding preset items of different airplanes based on the preliminary detection result, so as to obtain a comprehensive fault detection result.
In the embodiment of the present application, a possible implementation manner is provided, as shown in fig. 4, the system shown in fig. 3 above may further include a report submitting unit 410, configured to analyze and evaluate the fault repair time of the aircraft according to the comprehensive fault detection result after the second detecting unit 340 performs refined detection on corresponding preset items of different aircraft based on the preliminary detection result to obtain a comprehensive fault detection result; generating a detection report containing the comprehensive fault detection result and the fault repair time; and submitting the detection report to a specified terminal device, so that the detection report is submitted to a worker carrying the specified terminal device.
In an embodiment of the present application, a possible implementation manner is provided, where the report submitting unit 410 shown in fig. 4 is further configured to:
acquiring a pre-constructed average repair time model;
and inputting the comprehensive fault detection result into the average repair time model, and predicting the average repair time of the fault corresponding to the comprehensive fault detection result by using the average repair time model to obtain the average repair time of the fault corresponding to the analysis of the comprehensive fault detection result.
The embodiment of the present application provides a possible implementation manner, and the average repair time model is:
Figure GDA0003856431830000141
wherein
Figure GDA0003856431830000142
In order to average out the time to repair a fault,
Figure GDA0003856431830000143
m is the sum of maintenance time and the total number of faults.
In an embodiment of the present application, a possible implementation manner is provided, and the report submitting unit 410 shown in fig. 4 is further configured to:
and arranging a wireless gateway, sending the detection report to the arranged wireless gateway, sending the detection report to a specified terminal device through the arranged wireless gateway, and submitting the detection report to a worker carrying the specified terminal device.
In the embodiment of the present application, a possible implementation manner is provided, and the identification unit 320 shown in fig. 3 is further configured to:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes in communication with a collection unit for collecting different detection requirements of different airplanes;
determining an edge computing node in a working state from the one or more edge computing nodes;
and sending the collected different detection requirements of different airplanes to the edge computing node in the working state in real time.
In the embodiment of the present application, a possible implementation manner is provided, and the collecting unit 310 shown in fig. 3 above is further configured to:
receiving input of different detection requirements of different airplanes; and/or
And reading text contents containing different detection requirements of different airplanes to obtain different detection requirements of different airplanes.
After the detection report is submitted to a specified terminal device, the report submitting unit 410 further uploads the serial number of the staff viewing the report, uploads the head portrait collection image of the staff viewing the report and uploads the file screenshot of the signature viewing of the staff viewing the report on the terminal device when the staff wants to view the detection report, and the checking stage of the detection report can be entered after the three steps of operations are completed;
after the staff checks the detection report, the terminal equipment generates a staff number with the checking report according to the checking time length of the detection report and the checking progress of the detection report, the staff looking up the report collects image data and the checking data of the signed document data on the terminal equipment, and uploads the checking data to a military server so as to know the checking condition of the detection report in the following period, thereby being responsible for people and being responsible for affairs, and the method comprises the following specific steps,
step A1: judging whether the serial number is the staff with the consulting authority or not according to the serial number uploaded by the staff through the terminal equipment by using a formula (1)
Figure GDA0003856431830000151
Wherein S represents a reference permission judgment value of an uploading number of the terminal equipment; d 2 The binary form of the staff numbers representing the viewing reports uploaded by the terminal equipment; [ Z ] 2 (i)]A binary form representing the ith staff number with the reference authority;
Figure GDA0003856431830000152
representing a bitwise exclusive or; sum { } denotes the sum of all bits of binary data in parentheses; n represents the total number of digits in binary form of the staff number; f { } represents a zero check function, and if the numerical value in the brackets is 0, the function value is 1, otherwise, the function value is 0;
if S =1, indicating that the staff number uploaded by the terminal equipment has the reference authority;
if S =0, the fact that the staff number uploaded by the terminal equipment has no reference authority is represented, no subsequent operation is carried out, and a new staff number is waited to be uploaded;
step A2: controlling an authority lock of the detection report on the terminal equipment according to the authority judgment result in the step A1, the head portrait of the staff viewing the report, the image data collected by the staff viewing the report and the uploading result of the reference data of the document data viewing the signature on the terminal equipment by the staff viewing the report by using a formula (2)
Figure GDA0003856431830000153
Wherein Q represents the authority lock closing value of the detection report on the terminal equipment; g 2 A binary representation of the staff head image acquisition image data viewing the report; r (G) 2 ) A check value indicating whether or not a face exists in the face image data collected by the worker who views the report by face recognition analysis (R (G) if a face is detected in the data 2 ) =1, otherwise R (G) 2 )＝0)；Y 2 The binary form of the document data representing that a worker viewing the report views the signature on the terminal equipment; c (Y) 2 ) Represents Y 2 Return value of successful data upload (if upload is successful, C (Y) 2 ) =1, otherwise C (Y) 2 )＝0)；S,R(G 2 ),C(Y 2 ) Three arrays representing sequential comma separation into binary numbers; {} 10 Indicating that the numerical value in the bracket is converted into decimal number;
if Q =1, the authority lock of the detection report on the terminal equipment is controlled to be closed, namely, the staff can check the detection report;
if Q =0, not controlling the authority lock of the detection report on the terminal equipment;
step A3: generating a staff number with a check report according to the check duration of the check report and the check progress of the check report by using a formula (3), wherein the staff who check the report collects image data in head portrait and checks signed file data on the terminal equipment
Figure GDA0003856431830000161
Wherein N is 2 Representing the review worker generated review data (in binary form) for viewing;len () represents the number of bits for which data in parentheses is found; [] 2 Means for converting the value in parentheses into a binary number;
Figure GDA0003856431830000162
the binary digit under the bracket is complemented into 8 bits, that is, the data bit number is 8 bits, the data is kept unchanged, if the data bit number is less than 8 bits, 0 is complemented in front of the data until 8 bits are complemented (no more than 8 bits are needed, because the bit number of the data is controlled within 8 bits); t represents a numerical value of the checking duration of the detection report; m represents the value of the starting viewing page value of the detection report; l represents a value of the detection report termination view page value.
The military aircraft fault detection system based on edge calculation can collect different detection requirements of different aircrafts; identifying and judging different detection targets through edge computing nodes according to different collected detection requirements of different airplanes; then, automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result; and then, carrying out refined detection on corresponding preset items of different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result. It can be seen that the embodiment of the application can reduce the most initial detection content of technicians, improve the detection efficiency, and can assist in improving the detection accuracy at the accurate detection part.
It can be clearly understood by those skilled in the art that the specific working processes of the system, the apparatus, and the module described above may refer to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, the detailed description is omitted here.
Those of ordinary skill in the art will understand that: the technical solution of the present application may be essentially implemented or all or part of the technical solution may be implemented in a form of a software product, where the computer software product is stored in a storage medium and includes program instructions, so that an electronic device (for example, a personal computer, a server, or a network device) executes all or part of the steps of the method described in the embodiments of the present application when the program instructions are executed. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (an electronic device such as a personal computer, a server, or a network device) associated with program instructions, which may be stored in a computer-readable storage medium, and when the program instructions are executed by a processor of the electronic device, the electronic device executes all or part of the steps of the method described in the embodiments of the present application.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments can be modified or some or all of the technical features can be replaced with equivalents within the spirit and principle of the present application; such modifications or substitutions do not depart from the scope of the present application.

Claims (7)

1. A military aircraft fault detection method based on edge calculation is characterized by comprising the following steps:
collecting different detection requirements of different airplanes;
identifying and judging different detection targets through edge computing nodes according to different collected detection requirements of different airplanes;
automatically classifying the detection targets according to different characteristics of different airplanes to obtain a primary detection result;
carrying out fine detection on corresponding preset items on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result;
after the fine detection of the corresponding preset items is performed on different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result, the method further comprises the following steps:
analyzing and evaluating the fault repairing time of the airplane according to the comprehensive fault detection result;
generating a detection report containing the comprehensive fault detection result and the fault repair time;
submitting the detection report to a specified terminal device, so that the detection report is submitted to a worker carrying the specified terminal device;
due to the particularity and confidentiality of the military aircraft, after the detection report is submitted to a specified terminal device, the number of a worker viewing the report is uploaded on the terminal device, the head portrait of the worker viewing the report is uploaded, and a file screenshot of viewing the signature is uploaded on the terminal device by the worker viewing the report, so that the inspection stage of the detection report is started after the three steps of operation are completed;
after the staff finishes checking the detection report, the terminal equipment generates a staff number with the check report according to the checking duration of the detection report and the checking progress of the detection report, the staff who checks the report collects image data and the checking data of the file data signed by the staff who checks the report on the terminal equipment, and uploads the checking data to a military server so as to know the checking condition of the detection report in the following way, thereby being responsible for the staff and being responsible for the affairs, and the method comprises the following specific steps,
step A1: judging whether the serial number is a worker with a reference permission or not according to the serial number uploaded by the worker through the terminal equipment by using a formula (1)
Figure FDA0003856431820000021
Wherein S represents a reference permission judgment value of an uploading number of the terminal equipment; d 2 The binary form of the staff numbers representing the viewing reports uploaded by the terminal equipment; [ Z ] 2 (i)]Indicating the ith worker having reference authorityMaking a binary form of the personnel number;
Figure FDA0003856431820000022
representing a bitwise exclusive or; sum { } denotes the total sum over each bit of binary data within the brackets; n represents the total number of digits in binary form of the staff number; f { } represents a zero check function, and if the numerical value in the brackets is 0, the function value is 1, otherwise, the function value is 0;
if S =1, indicating that the staff number uploaded by the terminal equipment has the reference authority;
if S =0, the number of the staff uploaded by the terminal equipment is not referred to, no subsequent operation is carried out, and a new number of the staff is waited to be uploaded;
step A2: controlling the authority lock of the detection report on the terminal equipment according to the authority judgment result of the step A1, the head portrait of the staff viewing the report, the uploading result of the reference data of the file data viewing the signature on the terminal equipment by the staff viewing the report and the formula (2)
Figure FDA0003856431820000023
Wherein Q represents the authority lock closing value of the detection report on the terminal equipment; g 2 A binary representation of the staff head image acquisition image data viewing the report; r (G) 2 ) A check value indicating whether human face exists in the data of the head portrait acquisition image of the staff who uses the face recognition to analyze the checking report, and R (G) if human face is detected in the data 2 ) =1, otherwise R (G) 2 )＝0；Y 2 The binary form of the document data representing that a worker viewing the report views the signature on the terminal equipment; c (Y) 2 ) Represents said Y 2 Return value of successful data uploading, if uploading successfully, C (Y) 2 ) =1, otherwise C (Y) 2 )＝0；S,R(G 2 ),C(Y 2 ) Three arrays representing commas separated in order become binary numbers; {} 10 Means being enclosed in parenthesesConverting the numerical value into a decimal number;
if Q =1, controlling an authority lock of a detection report on the terminal equipment to close, namely the staff checks the detection report;
if Q =0, not controlling the authority lock of the detection report on the terminal equipment;
step A3: generating a staff number with a check report according to the check duration of the check report and the check progress of the check report by using a formula (3), wherein the staff who check the report collects image data in head portrait and checks signed file data on the terminal equipment
Figure FDA0003856431820000031
Wherein N is 2 Review data representing a staff generated binary form of review; len () represents the number of bits for which data in parentheses is found; [] 2 Indicating that the numerical value in the parentheses is converted into a binary number;
Figure FDA0003856431820000032
the binary digit under the bracket is complemented into 8 bits, namely the data bit number is 8 bits, the data is kept unchanged, if the data bit number is less than 8 bits, 0 is complemented in front of the data until the data bit number is complemented to 8 bits, and the situation that the data bit number is more than 8 bits cannot happen, because the data bit number is controlled to be 8 bits; t represents a numerical value of the checking duration of the detection report; m represents the value of the starting viewing page value of the detection report; l represents the value of the detection report termination view page value.
2. A method as claimed in claim 1, wherein said analyzing and evaluating the time to repair the fault of the aircraft based on said composite fault detection results comprises:
acquiring a pre-constructed average repair time model;
and inputting the comprehensive fault detection result into the average repair time model, and predicting the average repair time of the fault corresponding to the comprehensive fault detection result by using the average repair time model to obtain the average repair time of the fault corresponding to the analysis of the comprehensive fault detection result.
3. The edge-computation-based military aircraft fault detection method of claim 2, wherein the mean-time-to-repair model is:
Figure FDA0003856431820000033
wherein
Figure FDA0003856431820000034
In order to average the repair time of a failure,
Figure FDA0003856431820000035
m is the sum of maintenance time and the total number of faults.
4. The method of claim 1, wherein submitting the detection report to a designated terminal device for submission to a staff member carrying the designated terminal device comprises:
and arranging a wireless gateway, sending the detection report to the arranged wireless gateway, sending the detection report to a specified terminal device through the arranged wireless gateway, and submitting the detection report to a worker carrying the specified terminal device.
5. The method of claim 1, wherein identifying and determining different targets by the edge computing nodes according to the collected different detection requirements of different airplanes comprises:
arranging one or more edge computing nodes and connecting the one or more edge computing nodes in communication with a collection unit for collecting different detection requirements of different airplanes;
determining an edge computing node in a working state in the one or more edge computing nodes;
and sending the collected different detection requirements of different airplanes to the edge computing node in the working state in real time.
6. A method as claimed in claim 1, wherein said collecting different detection requirements of different aircraft comprises:
receiving input of different detection requirements of different airplanes; and/or
And reading text contents containing different detection requirements of different airplanes to obtain different detection requirements of different airplanes.
7. A military aircraft fault detection system based on edge calculation, comprising:
the collecting unit is used for collecting different detection requirements of different airplanes;
the identification unit is used for identifying and judging different detection targets through edge calculation nodes according to different collected detection requirements of different airplanes;
the first detection unit is used for automatically classifying the detection targets according to different characteristics of different airplanes to obtain a preliminary detection result;
the second detection unit is used for carrying out fine detection on corresponding preset items of different airplanes based on the preliminary detection result to obtain a comprehensive fault detection result;
the system further comprises a report submitting unit, wherein the report submitting unit is used for analyzing and evaluating the fault repair time of the airplane according to the comprehensive fault detection result after the second detection unit carries out fine detection on corresponding preset items of different airplanes based on the preliminary detection result to obtain the comprehensive fault detection result; generating a detection report containing the comprehensive fault detection result and the fault repair time; submitting the detection report to a specified terminal device, so that the detection report is submitted to a worker carrying the specified terminal device;
due to the particularity and confidentiality of the military aircraft, after the detection report is submitted to a specified terminal device, the staff members need to upload the serial numbers of the staff members who check the report, upload the head portrait acquisition images of the staff members who check the report and upload the screenshot of the file of the staff members who check the report on the terminal device to check and sign on the terminal device after checking the detection report, and the check stage of the detection report is started after the three steps of operation are completed;
after the staff finishes checking the detection report, the terminal equipment generates a staff number with the check report according to the checking duration of the detection report and the checking progress of the detection report, the staff who checks the report collects image data and the checking data of the file data signed by the staff who checks the report on the terminal equipment, and uploads the checking data to a military server so as to know the checking condition of the detection report in the following way, thereby being responsible for the staff and being responsible for the affairs, and the method comprises the following specific steps,
step A1: judging whether the serial number is a worker with a reference permission or not according to the serial number uploaded by the worker through the terminal equipment by using a formula (1)
Figure FDA0003856431820000051
Wherein S represents a reference permission judgment value of the uploading number of the terminal device; d 2 A binary form representing a staff number of a viewing report uploaded by the terminal device; [ Z ] 2 (i)]A binary form representing the ith staff number with the reference authority;
Figure FDA0003856431820000052
representing a bitwise exclusive or; sum { } denotes the total sum over each bit of binary data within the brackets; n represents the total number of digits in binary form of the staff number; f { } represents a zero-check function, and if the value in the parentheses is 0, the function value is 1, otherwise, the function value is 0;
if S =1, indicating that the staff number uploaded by the terminal equipment has the reference authority;
if S =0, the fact that the staff number uploaded by the terminal equipment has no reference authority is represented, no subsequent operation is carried out, and a new staff number is waited to be uploaded;
step A2: controlling the authority lock of the detection report on the terminal equipment according to the authority judgment result of the step A1, the head portrait of the staff viewing the report, the uploading result of the reference data of the file data viewing the signature on the terminal equipment by the staff viewing the report and the formula (2)
Figure FDA0003856431820000061
Wherein Q represents the authority lock closing value of the detection report on the terminal equipment; g 2 A binary representation of the image data captured by the avatar of the staff viewing the report; r (G) 2 ) A check value indicating whether human face exists in the data of the head portrait acquisition image of the staff who uses the face recognition to analyze the checking report, and R (G) if human face is detected in the data 2 ) =1, otherwise R (G) 2 )＝0；Y 2 The binary form of the document data representing the signature of the checking of the staff who checks the report on the terminal equipment; c (Y) 2 ) Represents said Y 2 Return value of successful data uploading, if uploading is successful, C (Y) 2 ) =1, otherwise C (Y) 2 )＝0；S,R(G 2 ),C(Y 2 ) Three arrays representing commas separated in order become binary numbers; {} 10 Indicating that the numerical value in the bracket is converted into decimal number;
if Q =1, controlling an authority lock of a detection report on the terminal equipment to close, namely the staff check the detection report;
if Q =0, not controlling the authority lock of the detection report on the terminal equipment;
step A3: generating a staff number with the checking report according to the checking duration of the checking report and the checking progress of the checking report by using a formula (3), acquiring image data by the head of the staff checking the report and checking the checking data of the signed document data on the terminal equipment by the staff checking the report
Figure FDA0003856431820000062
Wherein N is 2 Review data representing a staff generated binary form of review; len () represents the number of bits for which data in parentheses is found; [] 2 Means for converting the value in parentheses into a binary number;
Figure FDA0003856431820000063
the binary digit under the bracket is complemented into 8 bits, namely the data bit number is 8 bits, the data is kept unchanged, if the data bit number is less than 8 bits, 0 is complemented in front of the data until the data bit number is complemented to 8 bits, and the situation that the data bit number is more than 8 bits cannot happen, because the data bit number is controlled to be 8 bits; t represents a numerical value of the checking duration of the detection report; m represents the value of the starting viewing page value of the detection report; l represents the value of the detection report termination view page value.
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Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
基于JSP技术的飞机故障信息管理***开发;赵铮等;《航空维修与工程》;20120515(第03期);第59-62页 *
某型军用飞机冷气***预防性维修决策研究;李俊杰等;《装备制造技术》;20101015(第10期);第25-27页 *
边缘计算智能装备技术在飞机检修行为识别领域的应用;姚明等;《航空维修与工程》;20220228(第2期);第2-3页 *

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