A data processing system for non-destructive testing of airline baggage

Abstract

The invention discloses a data processing system for nondestructive testing of airline baggage, relates to the aviation field, solves the problem that the same standard is adopted in nondestructive testing of airline baggage, and the testing data of the user corresponding to the airline baggage and the equipment data of the testing equipment are not used. The invention comprises a data identification module, a testing definition module, a nondestructive testing module and an equipment analysis module. The data identification module is used to identify the identity picture of the user corresponding to the airline baggage, the equipment analysis module is used to analyze the equipment status of the testing terminal and obtain the testing coefficient of the testing terminal by analysis, the testing definition module is used to define the testing strength of the user corresponding to the airline baggage, and the nondestructive testing module is used to analyze the nondestructive testing results of the airline baggage. The invention realizes differentiated testing of the airline baggage based on data analysis.

Description

Technical Field

[0001] The invention belongs to the aviation field and relates to non-destructive testing technology, in particular to a data processing system for non-destructive testing of aviation luggage. Background Art

[0002] Aviation refers to the flight activities of aircraft in the Earth's atmosphere, as well as many related fields such as scientific research and education, industrial manufacturing, public transportation, professional operations, etc. Through the use of air space and aircraft, aviation activities can be divided into many independent industries and fields, such as the civil aviation industry. In the civil aviation industry, due to the necessity of aviation safety, it is necessary to conduct necessary inspections on the passengers' air luggage before the flight to ensure aviation flight safety.

[0003] When performing non-destructive testing on airline baggage, the same standard is usually used for non-destructive testing, and the test data of the corresponding user of the airline baggage and the equipment data of the testing equipment are not used, so it is impossible to perform differentiated testing on the corresponding users of different airline baggage;

[0004] To this end, we propose a data processing system for non-destructive testing of aviation baggage. Summary of the invention

[0005] In view of the deficiencies in the prior art, an object of the present invention is to provide a data processing system for non-destructive testing of aviation baggage.

[0006] The technical problems to be solved by the present invention are:

[0007] How to achieve differentiated detection of airline baggage based on data analysis.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] A data processing system for non-destructive testing of airline baggage, comprising a processor and a testing terminal, a display terminal, a scanning terminal and a server connected to the processor, wherein the server is connected to a storage module, a data identification module, a testing definition module, a non-destructive testing module and an equipment analysis module;

[0010] The scanning terminal is used to scan the identity document of the user corresponding to the air luggage, and the identity picture of the user corresponding to the air luggage obtained by scanning is sent to the processor, the processor sends the identity picture to the server, and the server sends the identity picture to the data recognition module;

[0011] The storage module is used to store preset identity pictures of different users and historical detection information corresponding to the preset identity pictures; the data identification module is used to identify the identity picture of the user corresponding to the air luggage, obtain the historical detection information of the user corresponding to the air luggage or generate a normal detection signal and feed it back to the server; if the server receives the normal detection signal, the normal detection signal is sent to the processor; the processor sends the normal detection signal to the detection terminal; the detection terminal is used to perform non-destructive detection on the air luggage when receiving the normal detection signal; if the server receives the historical detection information of the user corresponding to the air luggage, the historical detection information is sent to the detection definition module;

[0012] The storage module is also used to store the equipment information of different detection terminals. The equipment analysis module is used to analyze the equipment conditions of the detection terminals, and the detection coefficients of the detection terminals obtained by the analysis are fed back to the server. The server sends the detection coefficients to the detection definition module.

[0013] The detection definition module is used to define the detection strength of the user corresponding to the air baggage, and the detection level of the user corresponding to the air baggage is defined and fed back to the server. The server obtains the detection parameters of the user corresponding to the air baggage according to the detection level, and sends the detection parameters of the user corresponding to the air baggage to the processor. The processor sends the detection parameters to the detection terminal. The detection terminal is used to detect the items in the air baggage according to the detection parameters, and obtains the real-time three-dimensional imaging map of all the items in the air baggage through detection and feeds it back to the processor. The processor sends the real-time three-dimensional imaging map to the server. The server sends the real-time three-dimensional imaging map to the non-destructive detection module. The non-destructive detection module is used to analyze the non-destructive detection result of the air baggage, generate a baggage abnormality signal or a baggage normal signal and feed it back to the server. The server sends the baggage normal signal or the baggage abnormality signal to the processor. The processor sends the baggage normal signal or the baggage abnormality signal to the display terminal. The display terminal is used to display the baggage normal signal or the baggage abnormality signal.

[0014] Furthermore, the historical inspection information includes the total number of inspections, the number of re-inspections, the re-inspection duration, and the number of abnormalities of each re-inspection of the user's air luggage corresponding to the preset identity picture, and the total number of inspections includes the number of re-inspections.

[0015] Furthermore, the identification process of the data identification module is as follows:

[0016] Obtain the identity picture of the user corresponding to the airline baggage and randomly generate four sets of location coordinates;

[0017] Taking the upper left corner of the identity picture as the origin, the identity picture is adjudicated according to the four sets of position coordinates to obtain a real-time identity picture grid;

[0018] Similarly, taking the upper left corner of the preset identity picture as the origin, the preset identity picture is adjudicated according to the four groups of positions to obtain multiple preset identity picture grids;

[0019] Counting the real-time image features in the real-time identity image grid and the preset image features of the plurality of preset identity images;

[0020] comparing preset image features of the plurality of preset identity images with real-time image features of the real-time identity image;

[0021] If the preset image features of the preset identity image are different from the real-time image features of the real-time identity image, a normal detection signal is generated;

[0022] If the preset image feature of the preset identity image is the same as the real-time image feature of the real-time identity image, the historical detection information corresponding to the preset identity image is obtained as the historical detection information of the user corresponding to the aviation luggage.

[0023] Furthermore, the equipment information includes the commissioning time of the detection terminal, the number of equipment maintenance times and the maintenance time of each maintenance, the total number of detections, and the number of detection deviations.

[0024] Furthermore, the analysis process of the device analysis module is as follows:

[0025] Obtain the time of use of the detection terminal, and use the current time of the server minus the time of use to obtain the time TT of use of the detection terminal;

[0026] Then, the number of maintenance times of the detection terminal and the maintenance time of each maintenance are obtained, and the maintenance time of each maintenance is added up and divided by the number of maintenance times to obtain the average maintenance time WT of the detection terminal;

[0027] At the same time, the total number of detections and the number of detection deviations of the detection terminal are obtained, and the number of detection deviations is divided by the total number of detections to obtain the detection deviation rate PL of the detection terminal;

[0028] The device abnormality value SY of the detection terminal is calculated by the formula SY = [(TT × b1 + WT × b1) / (b1 + b2)] × PL; where b1 and b2 are both proportional coefficients with fixed values, and the values ​​of b1 and b2 are both greater than zero;

[0029] Acquire, through the server, the device abnormal value intervals and the detection coefficients corresponding to the device abnormal value intervals stored in the storage module, wherein the device abnormal value intervals include a first device abnormal value interval, a second device abnormal value interval, and a third device abnormal value interval;

[0030] Among them, the right endpoint of the first device abnormal value interval is less than or equal to the left endpoint of the second device abnormal value interval, the right endpoint of the second device abnormal value interval is less than or equal to the left endpoint of the third device abnormal value interval, the detection coefficient corresponding to the first device abnormal value interval is less than the detection coefficient corresponding to the second device abnormal value interval, and the detection coefficient corresponding to the second device abnormal value interval is less than the detection coefficient corresponding to the third device abnormal value interval;

[0031] The device abnormal value is compared with the device abnormal value interval to obtain the device abnormal value interval to which the device abnormal value belongs, thereby obtaining the detection coefficient corresponding to the detection terminal.

[0032] Furthermore, the definition process of the detection definition module is as follows:

[0033] Obtain the historical inspection information of the user corresponding to the air baggage, and obtain the total number of inspections JCi, the number of re-inspections FJCi, the re-inspection time and the number of abnormalities YCi of each re-inspection for the user corresponding to the air baggage, where i is the number of the user corresponding to the air baggage;

[0034] The sum of the re-inspection time of each re-inspection is divided by the number of re-inspections to obtain the average re-inspection time FJTi for the corresponding user of the air baggage;

[0035] At the same time, the detection coefficient of the detection terminal obtained by the above calculation is obtained, and the detection coefficient is marked as JX;

[0036] The detection threshold JDi corresponding to the airline baggage is calculated by the formula, and the formula is as follows:

[0037] JDi=(YCi / JCi×a1+FJCi×a2+FJTi×a3)×JX; where a1, a2 and a3 are weight coefficients with fixed values;

[0038] Obtaining the detection threshold stored in the storage module through the server, and comparing the detection threshold value with the detection threshold;

[0039] If the detection limit value is less than the first detection limit threshold, the detection level corresponding to the air baggage is the third detection level;

[0040] If the detection threshold value is greater than or equal to the first detection threshold value and less than the second detection threshold value, the detection level corresponding to the air baggage is the second detection level;

[0041] If the detection limit value is greater than or equal to the second detection limit threshold, the detection level corresponding to the aviation baggage is the first detection level; wherein the first detection limit threshold is less than the second detection limit threshold.

[0042] Further, the detection strength of the first detection level is greater than the detection strength of the second detection level, and the detection strength of the second detection level is greater than the detection strength of the third detection level.

[0043] Furthermore, the corresponding relationship between the detection level and the detection parameter is as follows:

[0044] If it is the first detection level, the detection parameters of the air baggage are: the first detection time and the first number of imaging times within the first detection time;

[0045] If it is the second detection level, the detection parameters of the air baggage are: the second detection time and the number of second imaging times within the second detection time;

[0046] If it is the third detection level, the detection parameters of the air baggage are: the third detection time and the third imaging times within the third detection time.

[0047] Furthermore, the first detection duration is longer than the second detection duration, the second detection duration is longer than the third detection duration, the first imaging number is greater than the second imaging number, and the second imaging number is greater than the third imaging number.

[0048] Furthermore, the nondestructive testing process of the nondestructive testing module is specifically as follows:

[0049] Get real-time 3D images of all items in airline luggage;

[0050] Then, a preset three-dimensional image of the dangerous goods stored in the storage module is obtained through the server;

[0051] Adjust the real-time three-dimensional image of all items in the airline luggage, and then obtain a top-down outline of all items in the airline luggage from a top-down perspective;

[0052] Similarly, obtain the top view outline corresponding to the dangerous goods;

[0053] Compare the top view outline of all items in the airline baggage with the top view outline corresponding to the dangerous goods;

[0054] If the top view outline of all items in the airline baggage matches the top view outline of the dangerous goods at any imaging time, a baggage abnormality signal is generated;

[0055] If the top view outline of all items in the airline baggage does not match the top view outline of the dangerous goods at each imaging, a baggage normal signal is generated.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The present invention firstly identifies the identity picture of the user corresponding to the air luggage through a data identification module, and obtains the historical detection information of the user corresponding to the air luggage or the normal detection signal generated by the identification. If the historical detection information of the user corresponding to the air luggage is obtained, it is sent to the detection definition module. On the other hand, the equipment analysis module is used to analyze the equipment status of the detection terminal, and the detection coefficient of the detection terminal is obtained by analysis and sent to the detection definition module. The detection definition module defines the detection strength of the user corresponding to the air luggage in combination with the two results, thereby defining the detection level of the user corresponding to the air luggage, and obtains the detection parameters of the user corresponding to the air luggage according to the detection level and sends them to the detection terminal. The detection terminal detects the items in the air luggage according to the detection parameters, and finally uses the non-destructive detection module to analyze the non-destructive detection results of the air luggage. The present invention combines the detection data of the user corresponding to the air luggage and the equipment data of the detection equipment to realize differentiated detection of the air luggage without informing the user corresponding to the air luggage. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0059] Figure 1 is the overall system block diagram of the present invention;

[0060] Figure 2 It is the work flow chart of the present invention. DETAILED DESCRIPTION

[0061] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Embodiment 1

[0063] See also Figure 1 As shown, the present invention provides a technical solution: a data processing system for non-destructive testing of airline baggage, comprising a processor and a testing terminal, a display terminal, a scanning terminal and a server connected to the processor, wherein the testing terminal can actually be a baggage security inspection machine and other related equipment, and the server is connected with a storage module, a data identification module, a testing definition module, a non-destructive testing module and an equipment analysis module;

[0064] The scanning terminal is used to scan the identity document of the user corresponding to the air luggage, and the identity picture of the user corresponding to the air luggage obtained by scanning is sent to the processor, and the processor sends the identity picture to the server, and the server sends the identity picture to the data recognition module. In specific implementation, the identity picture can be an identity card picture, a driver's license picture, a passport picture, and other related identity proof documents;

[0065] The storage module is used to store preset identity pictures of different users and historical detection information corresponding to the preset identity pictures, wherein the historical detection information is the total number of detections, the number of re-inspections, the re-inspection duration, and the number of abnormalities of each re-inspection of the user's air luggage corresponding to the preset identity picture, and the total number of detections includes the number of re-inspections. It should be emphasized here that the preset identity picture is the identity information that the user needs to submit when taking an airline flight, which is the necessary information that needs to be submitted during the air flight process, and the historical detection information is only the relevant data of the user's air luggage detection, and does not involve any user's privacy data and user information;

[0066] The data identification module is data-connected with the storage module, and the data identification module is used to identify the identity picture of the user corresponding to the air luggage. The identification process is as follows:

[0067] Obtain the identity picture of the user corresponding to the airline baggage and randomly generate four sets of location coordinates;

[0068] Taking the upper left corner of the identity picture as the origin, the identity picture is adjudicated according to the four sets of position coordinates to obtain a real-time identity picture grid;

[0069] Similarly, taking the upper left corner of the preset identity picture as the origin, the preset identity picture is adjudicated according to the four groups of positions to obtain multiple preset identity picture grids;

[0070] Count the real-time image features in the real-time identity image grid and the preset image features of multiple preset identity images; wherein the image features include but are not limited to the text in the image grid and the strokes of the text, the characters and the outlines of the characters, etc. Therefore, in actual adjudication, it is necessary to adjudicate the image grid with relevant symbols and texts. For example, when the real-time identity image is an ID card, the image with the ID card number area is first adjudicated;

[0071] comparing preset image features of the plurality of preset identity images with real-time image features of the real-time identity image;

[0072] If the preset image features of the preset identity image are different from the real-time image features of the real-time identity image, a normal detection signal is generated;

[0073] If the preset image feature of the preset identity image is the same as the real-time image feature of the real-time identity image, obtaining the historical detection information corresponding to the preset identity image as the historical detection information of the user corresponding to the air baggage;

[0074] The data identification module feeds back the historical detection information of the user corresponding to the air baggage or the generated normal detection signal to the server. If the server receives the normal detection signal, it sends the normal detection signal to the processor. The processor sends the normal detection signal to the detection terminal. The detection terminal is used to perform non-destructive detection on the air baggage when receiving the normal detection signal. If the server receives the historical detection information of the user corresponding to the air baggage, it sends the historical detection information to the detection definition module.

[0075] In this embodiment, the storage module is also used to store equipment information of different detection terminals, the equipment information is the commissioning time of the detection terminal, the number of equipment maintenance times and the maintenance time of each maintenance, the total number of detections, and the number of detection deviations;

[0076] The device analysis module is data-connected with the storage module, and the device analysis module is used to analyze the device status of the detection terminal. The analysis process is as follows:

[0077] Obtain the time of use of the detection terminal, and use the current time of the server minus the time of use to obtain the time TT of use of the detection terminal;

[0078] Then, the number of maintenance times of the detection terminal and the maintenance time of each maintenance are obtained, and the maintenance time of each maintenance is added up and divided by the number of maintenance times to obtain the average maintenance time WT of the detection terminal;

[0079] At the same time, the total number of detections and the number of detection deviations of the detection terminal are obtained, and the number of detection deviations is divided by the total number of detections to obtain the detection deviation rate PL of the detection terminal;

[0080] The device abnormality value SY of the detection terminal is calculated by the formula SY = [(TT × b1 + WT × b1) / (b1 + b2)] × PL; where b1 and b2 are both proportional coefficients with fixed values, and the values ​​of b1 and b2 are both greater than zero;

[0081] Acquire, through the server, the device abnormal value intervals and the detection coefficients corresponding to the device abnormal value intervals stored in the storage module, wherein the device abnormal value intervals include a first device abnormal value interval, a second device abnormal value interval, and a third device abnormal value interval;

[0082] Among them, the right endpoint of the first device abnormal value interval is less than or equal to the left endpoint of the second device abnormal value interval, the right endpoint of the second device abnormal value interval is less than or equal to the left endpoint of the third device abnormal value interval, the detection coefficient corresponding to the first device abnormal value interval is less than the detection coefficient corresponding to the second device abnormal value interval, and the detection coefficient corresponding to the second device abnormal value interval is less than the detection coefficient corresponding to the third device abnormal value interval;

[0083] Compare the device abnormal value with the device abnormal value interval to obtain the device abnormal value interval to which the device abnormal value belongs, thereby obtaining the detection coefficient corresponding to the detection terminal;

[0084] The device analysis module feeds back the detection coefficient of the detection terminal to the server, and the server sends the detection coefficient to the detection definition module;

[0085] The detection and definition module is used to define the detection strength of the corresponding user of the air baggage. The definition process is as follows:

[0086] Obtain the historical inspection information of the user corresponding to the air baggage, and obtain the total number of inspections JCi, the number of re-inspections FJCi, the re-inspection time and the number of abnormalities YCi of each re-inspection for the user corresponding to the air baggage, where i is the number of the user corresponding to the air baggage, and i can be distinguished by Arabic numerals or English letters;

[0087] The sum of the re-inspection time of each re-inspection is divided by the number of re-inspections to obtain the average re-inspection time FJTi for the corresponding user of the air baggage;

[0088] At the same time, the detection coefficient of the detection terminal obtained by the above calculation is obtained, and the detection coefficient is marked as JX;

[0089] The detection threshold JDi corresponding to the airline baggage is calculated by the formula, and the formula is as follows:

[0090] JDi=(YCi / JCi×a1+FJCi×a2+FJTi×a3)×JX; where a1, a2 and a3 are weight coefficients with fixed values;

[0091] Obtaining the detection threshold stored in the storage module through the server, and comparing the detection threshold value with the detection threshold;

[0092] If the detection limit value is less than the first detection limit threshold, the detection level corresponding to the air baggage is the third detection level;

[0093] If the detection threshold value is greater than or equal to the first detection threshold value and less than the second detection threshold value, the detection level corresponding to the air baggage is the second detection level;

[0094] If the detection limit value is greater than or equal to the second detection limit threshold, the detection level corresponding to the air baggage is the first detection level; wherein the first detection limit threshold is less than the second detection limit threshold;

[0095] Specifically, the detection intensity of the first detection level is greater than the detection intensity of the second detection level, and the detection intensity of the second detection level is greater than the detection intensity of the third detection level;

[0096] The detection and definition module feeds back the detection level of the user corresponding to the air baggage to the server, and the server obtains the detection parameters of the user corresponding to the air baggage according to the detection level, and sends the detection parameters of the user corresponding to the air baggage to the processor, and the processor sends the detection parameters to the detection terminal, and the detection terminal is used to detect the items in the air baggage according to the detection parameters, and obtain a real-time three-dimensional imaging map of all the items in the air baggage;

[0097] In this embodiment, the corresponding relationship between the detection level and the detection parameter is as follows:

[0098] If it is the first detection level, the detection parameters of the air baggage are: the first detection time and the first number of imaging times within the first detection time;

[0099] If it is the second detection level, the detection parameters of the air baggage are: the second detection time and the number of second imaging times within the second detection time;

[0100] If it is the third detection level, the detection parameters of the air baggage are: the third detection time and the third imaging times within the third detection time;

[0101] The first detection duration is longer than the second detection duration, the second detection duration is longer than the third detection duration, the first imaging number is greater than the second imaging number, and the second imaging number is greater than the third imaging number;

[0102] The detection terminal feeds back the real-time three-dimensional image of the air baggage to the processor, the processor sends the real-time three-dimensional image to the server, the server sends the real-time three-dimensional image to the non-destructive testing module, the non-destructive testing module is used to analyze the non-destructive testing results of the air baggage, and the non-destructive testing process is as follows:

[0103] Get real-time 3D images of all items in airline luggage;

[0104] Then, a preset three-dimensional image of the dangerous goods stored in the storage module is obtained through the server;

[0105] The real-time three-dimensional image of all items in the airline luggage is adjusted, and then a top-down outline of all items in the airline luggage is obtained from a top-down angle; the reason for adjusting the real-time three-dimensional image here is that the items in the airline luggage may be at an inclined angle when actually placed, so it is necessary to adjust the items and then obtain their top-down outline;

[0106] Similarly, obtain the top view outline corresponding to the dangerous goods;

[0107] Compare the top view outline of all items in the airline baggage with the top view outline corresponding to the dangerous goods;

[0108] If the top view outline of all items in the airline baggage matches the top view outline of the dangerous goods at any imaging time, a baggage abnormality signal is generated;

[0109] If the top view outline of all items in the airline baggage does not match the top view outline of the dangerous goods at each imaging, a baggage normal signal is generated;

[0110] The nondestructive detection module feeds back the abnormal luggage signal or the normal luggage signal to the server, the server sends the normal luggage signal or the abnormal luggage signal to the processor, the processor sends the normal luggage signal or the abnormal luggage signal to the display terminal, and the display terminal is used to display the normal luggage signal or the abnormal luggage signal;

[0111] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0112] Embodiment 2

[0113] See also Figure 2 As shown, based on another concept of the same invention, a data processing method for non-destructive testing of aviation baggage is now proposed, comprising the following steps:

[0114] Step S100, the scanning terminal scans the identity document of the user corresponding to the air luggage, and the identity picture of the user corresponding to the air luggage is scanned and sent to the data recognition module, and the data recognition module recognizes the identity picture of the user corresponding to the air luggage, and obtains the historical detection information of the user corresponding to the air luggage or the normal detection signal generated by the recognition;

[0115] Step S200: If a normal detection signal is generated, it is sent to the detection terminal, and the detection terminal performs non-destructive detection on the air luggage. If historical detection information of the user corresponding to the air luggage is obtained, it is sent to the detection definition module;

[0116] Step S300, the equipment analysis module analyzes the equipment status of the detection terminal, and sends the detection coefficient of the detection terminal obtained by the analysis to the detection definition module;

[0117] Step S400: The detection definition module defines the detection strength of the user corresponding to the air baggage, and obtains the detection level of the user corresponding to the air baggage by definition. According to the detection level, the detection parameters of the user corresponding to the air baggage are obtained and sent to the detection terminal. The detection terminal detects the items in the air baggage according to the detection parameters, and obtains the real-time three-dimensional imaging map of all the items in the air baggage and sends it to the non-destructive detection module.

[0118] Step S500: the nondestructive testing module analyzes the nondestructive testing results of the air baggage, generates a baggage abnormality signal or a baggage normal signal, and sends it to the display terminal, which displays the baggage normal signal or the baggage abnormality signal.

[0119] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A data processing system for non-destructive testing of airline baggage, characterized in that: It includes a processor and a detection terminal, a display terminal, a scanning terminal and a server connected to the processor, wherein the server is connected to a storage module, a data identification module, a detection definition module, a non-destructive detection module and an equipment analysis module; The scanning terminal is used to scan the identity document of the user corresponding to the air luggage, and the identity picture of the user corresponding to the air luggage obtained by scanning is sent to the data recognition module through the processor and the server; The storage module is used to store preset identity pictures of different users and historical detection information corresponding to the preset identity pictures. The historical detection information is the total number of detections, the number of re-inspections, the re-inspection duration, and the number of abnormalities of the air luggage of the user corresponding to the preset identity picture. The total number of detections includes the number of re-inspections; the data recognition module is used to identify the identity picture of the user corresponding to the air luggage. If the data recognition module identifies the historical detection information of the user corresponding to the air luggage and feeds it back to the server, if the data recognition module identifies and generates a normal detection signal and feeds it back to the server, if the server receives the normal detection signal, it is sent to the detection terminal via the processor. The detection terminal is used to perform non-destructive detection on the air luggage. If the server receives the historical detection information of the user corresponding to the air luggage, it is sent to the detection definition module; The identification process of the data identification module is as follows: Obtain the identity picture of the user corresponding to the airline baggage and randomly generate four sets of location coordinates; Taking the upper left corner of the identity picture as the origin, the identity picture is adjudicated according to the four sets of position coordinates to obtain a real-time identity picture grid; Similarly, taking the upper left corner of the preset identity picture as the origin, the preset identity picture is adjudicated according to the four groups of positions to obtain multiple preset identity picture grids; Counting the real-time image features in the real-time identity image grid and the preset image features of the plurality of preset identity images; comparing preset image features of the plurality of preset identity images with real-time image features of the real-time identity image; If the preset image features of the preset identity image are different from the real-time image features of the real-time identity image, a normal detection signal is generated; If the preset image feature of the preset identity image is the same as the real-time image feature of the real-time identity image, obtaining the historical detection information corresponding to the preset identity image as the historical detection information of the user corresponding to the air baggage; The storage module is also used to store equipment information of different detection terminals, the equipment information is the commissioning time of the detection terminal, the number of equipment maintenance times and the maintenance time of each maintenance, the total number of detections, and the number of detection deviations. The equipment analysis module is used to analyze the equipment status of the detection terminal, and the detection coefficient of the detection terminal obtained by analysis is sent to the detection definition module via the server; the detection definition module is used to define the detection strength of the user corresponding to the air luggage, and the detection level of the user corresponding to the air luggage is defined and fed back to the server. The server obtains the detection parameters of the user corresponding to the air luggage according to the detection level and sends them to the detection terminal via the processor. The detection terminal is used to detect the items in the air luggage according to the detection parameters, and the real-time three-dimensional imaging map of all the items in the air luggage obtained by detection is sent to the non-destructive testing module via the processor and the server; The analysis process of the device analysis module is as follows: Obtain the time the detection terminal has been in use, and use the current time of the server minus the time to obtain the time the detection terminal has been in use; Then, the number of maintenance times of the detection terminal and the maintenance time of each maintenance are obtained, and the maintenance time of each maintenance is added up and divided by the number of maintenance times to obtain the average maintenance time of the detection terminal; At the same time, the total number of detections and the number of detection deviations of the detection terminal are obtained, and the number of detection deviations is divided by the total number of detections to obtain the detection deviation rate of the detection terminal; Calculate the device abnormality value of the detection terminal; Obtain the device abnormal value interval stored in the storage module and the detection coefficient corresponding to the device abnormal value interval; Compare the device abnormal value with the device abnormal value interval to obtain the device abnormal value interval to which the device abnormal value belongs, and then obtain the detection coefficient corresponding to the detection terminal; The definition process of the detection definition module is as follows: Obtain historical inspection information of the user corresponding to the air baggage, and obtain the total number of inspections, number of re-inspections, re-inspection duration, and number of abnormalities of the user corresponding to the air baggage; The sum of the re-inspection time for each re-inspection is divided by the number of re-inspections to obtain the average re-inspection time for the corresponding user of the air baggage; At the same time, the detection coefficient of the detection terminal is obtained; Calculate the detection threshold corresponding to airline baggage; Obtaining the detection limit threshold stored in the storage module, comparing the detection limit value with the detection limit threshold, and determining whether the detection level corresponding to the air baggage is the third detection level, the second detection level, or the first detection level; wherein the detection strength of the first detection level is greater than the detection strength of the second detection level, and the detection strength of the second detection level is greater than the detection strength of the third detection level; The corresponding relationship between the detection level and the detection parameters is as follows: If it is the first detection level, the detection parameters of the air baggage are: the first detection time and the first number of imaging times within the first detection time; If it is the second detection level, the detection parameters of the air baggage are: the second detection time and the number of second imaging times within the second detection time; If it is the third detection level, the detection parameters of the air baggage are: the third detection time and the third imaging times within the third detection time; The nondestructive testing module is used to analyze the nondestructive testing results of the airline baggage, generate a baggage abnormality signal or a baggage normal signal and send it to the display terminal via the server and the processor, and the display terminal is used to display the baggage normal signal or the baggage abnormality signal.

2. A data processing system for non-destructive testing of aviation baggage according to claim 1, characterized in that: The first detection duration is longer than the second detection duration, the second detection duration is longer than the third detection duration, the first imaging number is greater than the second imaging number, and the second imaging number is greater than the third imaging number.

3. A data processing system for non-destructive testing of aviation baggage according to claim 1, characterized in that: The nondestructive testing process of the nondestructive testing module is as follows: Get real-time 3D images of all items in airline luggage; Then, a preset three-dimensional image of the dangerous goods stored in the storage module is obtained; Adjust the real-time three-dimensional image of all items in the airline baggage to obtain a bird's-eye view of all items in the airline baggage; Similarly, obtain the top view outline corresponding to the dangerous goods; Compare the top view outline of all items in the airline baggage with the top view outline corresponding to the dangerous goods; If the top view outline of all items in the airline baggage matches the top view outline of the dangerous goods at any imaging time, a baggage abnormality signal is generated; If the top view outline of all items in the airline baggage does not match the top view outline of the dangerous goods at each imaging, a baggage normal signal is generated.

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