Intelligent detection method, device and equipment of aviation communication cable and medium

Abstract

The application discloses an intelligent detection method, device and equipment of an aviation communication cable and a medium. The method comprises the following steps: generating a corresponding transmission signal according to a pre-stored detection script, outputting the transmission signal to one communication seat, and obtaining a corresponding return signal from another communication seat; analyzing the return signal to obtain corresponding analysis information; checking the analysis information and the detection script according to a coincidence rate checking rule and cable parameter information to obtain a coincidence rate checking result; comparing the transmission signal and the return signal according to a comparison detection model to obtain a comparison detection result; and performing quality detection on the coincidence rate checking result and the comparison detection result according to a quality detection strategy and cable parameter information to obtain a quality detection result of whether the quality detection is qualified. Through the above method, the transmission signal and the return signal can be intelligently compared and analyzed to obtain a high-reliability quality detection result, and the efficiency and reliability of communication line quality detection are greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cable detection, and in particular to an intelligent detection method, device and equipment for an aviation communication cable and a medium. BACKGROUND

[0002] With the development of information technology, communication cables are widely used in various electronic communication devices, and the communication cables used in the aviation field need to meet the requirements of high quality specifications. On the one hand, aviation communication cables need to be applied in high-temperature, low-temperature or high-radiation environments (such as solar wind radiation) due to the relatively special application scenarios. On the other hand, aviation communication cables have higher requirements for the stability and reliability of data transmission compared to ordinary communication cables because they are involved in the communication and control of aviation equipment (such as drones). In the prior art, an oscilloscope is usually used to scan the transmitted signal and the return signal and display the waveforms, and the detection personnel can detect whether the aviation communication cable meets the quality requirements by viewing and comparing the waveforms. However, this detection process can only directly judge relatively intuitive detection items and cannot deeply and comprehensively compare and analyze the two groups of signals, resulting in low efficiency and insufficient accuracy of the quality detection of the communication cable. Therefore, the prior art cannot efficiently detect the communication cable. SUMMARY

[0003] The embodiments of the present application provide an intelligent detection method, device and equipment for an aviation communication cable and a medium, aiming to solve the problem that the prior art cannot efficiently detect the communication cable.

[0004] In a first aspect, the embodiments of the present application provide an intelligent detection method for an aviation communication cable. The method is applied to a detection terminal, and the detection terminal is in communication connection with an environment simulation device and two communication seats. Each communication seat is connected with at least two strands of one end of the aviation communication cable. The aviation communication cable is composed of an even number of twisted strands. The aviation communication cable is placed in the environment simulation device. The method comprises the following steps:

[0005] According to a pre-stored detection script, a corresponding transmitted signal is generated and output to one communication seat, and a corresponding return signal is obtained from another communication seat.

[0006] The return signal is analyzed to obtain corresponding analysis information.

[0007] According to a pre-stored coincidence rate checking rule and pre-stored cable parameter information, the analysis information and the detection script are checked to obtain a corresponding coincidence rate checking result.

[0008] The transmission signal and the return signal are compared and detected according to a preset comparison detection model, to obtain a corresponding comparison detection result.

[0009] The coincidence rate checking result and the comparison detection result are quality detected according to a preset quality detection strategy and the cable parameter information, to obtain a quality detection result of whether qualified.

[0010] In a second aspect, the embodiments of the present application provide an intelligent detection device for an aviation communication cable, wherein the device is configured in a detection terminal, the detection terminal is in communication connection with an environment simulation equipment and two communication seats respectively, each communication seat is connected with at least two strands of one end of the aviation communication cable, the aviation communication cable is composed of an even number of strands twisted together, the aviation communication cable is placed in the environment simulation equipment, the intelligent detection device for the aviation communication cable is used to execute the intelligent detection method for the aviation communication cable as described in the first aspect, and the device comprises:

[0011] A signal acquisition unit is configured to generate a corresponding transmission signal according to a pre-stored detection script and output the transmission signal to one communication seat, and acquire a return signal corresponding to the transmission signal from another communication seat;

[0012] A return signal analysis unit is configured to analyze the return signal to obtain corresponding analysis information;

[0013] A checking unit is configured to check the analysis information and the detection script according to a preset coincidence rate checking rule and preset cable parameter information, to obtain a corresponding coincidence rate checking result;

[0014] A comparison detection unit is configured to compare and detect the transmission signal and the return signal according to a preset comparison detection model, to obtain a corresponding comparison detection result;

[0015] A quality detection result acquisition unit is configured to quality detect the coincidence rate checking result and the comparison detection result according to a preset quality detection strategy and the cable parameter information, to obtain a quality detection result of whether qualified.

[0016] In a third aspect, the embodiments of the present application further provide an intelligent detection device for an aviation communication cable, wherein the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;

[0017] The memory is configured to store a computer program;

[0018] The processor is configured to execute the program stored on the memory, to realize the intelligent detection method for the aviation communication cable as described in the first aspect.

[0019] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements the intelligent detection method of the aviation communication cable according to the first aspect.

[0020] The embodiments of the present application provide an intelligent detection method, device, equipment and medium of an aviation communication cable. The method comprises the following steps: generating a corresponding transmission signal according to a pre-stored detection script and outputting the transmission signal to one communication seat, and obtaining a corresponding return signal from another communication seat; analyzing the return signal to obtain corresponding analysis information; checking the analysis information and the detection script according to a coincidence rate checking rule and cable parameter information to obtain a coincidence rate checking result; comparing the transmission signal and the return signal according to a comparison detection model to obtain a comparison detection result; and performing quality detection on the coincidence rate checking result and the comparison detection result according to a quality detection strategy and cable parameter information to obtain a quality detection result of whether it is qualified. Through the above method, the transmission signal and the return signal can be intelligently compared and analyzed to obtain a high-reliability quality detection result, and the efficiency and reliability of the communication line quality detection are greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0022] Figure 1 The method flowchart of the intelligent detection method of the aviation communication cable provided by the embodiments of the present application;

[0023] Figure 2 The application scenario schematic diagram of the intelligent detection method of the aviation communication cable provided by the embodiments of the present application;

[0024] Figure 3 The application effect diagram of the intelligent detection method of the aviation communication cable provided by the embodiments of the present application;

[0025] Figure 4 The schematic block diagram of the intelligent detection device of the aviation communication cable provided by the embodiments of the present application;

[0026] Figure 5 The schematic block diagram of the computer equipment provided by the embodiments of the present application. DETAILED DESCRIPTION

[0027] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort are within the scope of the present application.

[0028] It should be understood that the terms "comprise" and "include" as used in the specification and the appended claims indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0029] It should also be understood that the terms used in the present application specification are only for the purpose of describing particular embodiments and are not intended to limit the present application. As used in the present application specification and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms, unless the context clearly indicates otherwise.

[0030] It should be further understood that the term "and / or" as used in the present application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0031] Please refer to Figure 1 and Figure 2 , Figure 1 The method flowchart of the intelligent detection method of the aviation communication cable provided by the embodiments of the present application, Figure 2The application scenario schematic diagram of the intelligent detection method of the aviation communication cable provided by the embodiment of the present application; the intelligent detection method of the aviation communication cable is applied to a detection terminal 10, the detection terminal 10 is in communication connection with an environment simulation device 20 and two communication seats 30 respectively, each communication seat 30 is connected with at least two strands of the aviation communication cable 31 at one end, the aviation communication cable 31 is composed of at least two even strands 311 twisted together, and the aviation communication cable 31 is placed in the environment simulation device 20. The intelligent detection method of the aviation communication cable is executed by the application software installed in the detection terminal 10; the detection terminal 10 is a terminal device for executing the intelligent detection method of the aviation communication cable to detect the quality of the communication cable, wherein the detection terminal 10 can be a desktop computer, a notebook computer, a tablet computer or a server terminal. The environment simulation device 20 is used to simulate the external environment in the actual application process of the aviation communication cable 31, such as high temperature, low temperature or high radiation environment, the environment simulation device 20 can be in communication connection with the detection terminal 10, so that the detection terminal 10 can send an environment simulation instruction to the environment simulation device 20 to control the environment simulation device 20 to simulate the corresponding special environment. As shown in Figure 3 The communication seat 30 is used for quickly connecting / disconnecting the aviation communication cable 31, each communication seat 30 includes at least two even channels, each channel can correspond to one strand 311 inserted to realize communication connection; one strand 311 corresponds to one channel in the communication seat 30. The detection terminal 10 is in communication connection with the two communication seats 30 simultaneously, one of the communication seats 30 is used for outputting a transmission signal, and the other communication seat 30 is used for receiving a return signal. As shown in Figure 1 The method includes steps S110-S150.

[0032] S110, according to the pre-stored detection script, the corresponding transmission signal is output to one of the communication seats, and the return signal corresponding to the transmission signal is obtained by the other communication seat.

[0033] The detection personnel can input the detection instruction to the detection terminal, after the detection terminal receives the detection instruction, the pre-stored detection script can be read, and the corresponding transmission signal is generated by the detection script and output to the communication seat used for signal transmission; the communication seat transmits the transmission signal to each strand, the signal is transmitted in the strand and the corresponding return signal is received by the other communication seat. The return signal is also the signal corresponding to the transmission signal, in theory, as long as the strand remains in a connected state, the input transmission signal can receive a corresponding return signal. Among them, the frequency of the signal sent to each strand at the same time in the transmission signal is the same, and the signal wave can be different, such as sending high level signal and low level signal with the same frequency to two strands at the same time; the transmission signal and the received return signal are time domain signals.

[0034] In an embodiment, before step S110, the method further comprises: obtaining a script matched with the cable parameter information from a preset script database as the detection script.

[0035] The user can also set the cable parameter information in the detection instruction, which includes the overall length of the cable, the cable applicable frequency band, the cable strand count, the strand cross-sectional area, and other parameter information. The detection terminal is pre-set with a script database for script storage, and then a script matched with the cable parameter information can be obtained from the script database as the corresponding detection script. The detection script is set with a corresponding signal generation code, and the execution of the signal generation code can correspondingly generate a transmission signal.

[0036] S120, analyzing the backhaul signal to obtain corresponding analysis information.

[0037] The backhaul signal is further analyzed. The transmission signal and the backhaul signal are both composed of wave signals of a certain frequency. The analysis of the wave signal can obtain the corresponding analysis information.

[0038] In an embodiment, before step S120, the method further comprises: determining a channel signal corresponding to each channel in the backhaul signal according to the channel coding of each channel; grouping the channel signals according to the combination relationship between the channels to obtain corresponding signal grouping information; each group contains two channels, and each strand corresponds to one channel.

[0039] Specifically, since the backhaul signal contains signals corresponding to multiple channels, the multiple groups of signals in the backhaul signal can be grouped and arranged according to the channels. The channel signal corresponding to each channel is determined according to the channel change of each channel. Each channel corresponds to a group of channel signals in the backhaul signal.

[0040] Further, two adjacent channels form a group, and the channel signals can be grouped according to the combination relationship between the channels, so as to obtain the corresponding signal grouping information. For example, if the two channel codes are “1-1” and “1-2” respectively, the channel signals corresponding to the two channel codes can be combined as a group of signals; that is, each group contains channel signals corresponding to two channels, and each strand corresponds to one channel. The difference between the two channel signals in the same group of signals corresponds to the intra-group difference; the difference between two groups of different signals corresponds to the inter-group difference.

[0041] The single-period pulse wave of the same group of two strands in the backhaul signal can be analyzed. Specifically, the voltage difference of the pulse wave of the two strands in a single period is obtained, and the voltage difference is analyzed. It is judged whether the voltage difference is greater than a first difference threshold (for example, the first difference threshold is set to 0.20V). If the voltage difference is greater than the first difference threshold, the corresponding analysis value of the period is "1". It is judged whether the voltage difference is less than a second difference threshold (for example, the second difference threshold is set to -0.20V). The corresponding analysis value of the period is "0". If the voltage difference is between -0.20V and 0.20V, the corresponding analysis value of the period is "-", indicating that the pulse wave signal cannot be analyzed. The channel signals of the two strands in a group of signals are analyzed, and a group of signal sequences are obtained. The analysis information of each group of signals is a binary sequence composed of "0" and "1" arranged along the time axis. The signal sequence of each group of signals can be obtained as the corresponding analysis information.

[0042] In S130, the analysis information and the detection script are checked according to the preset coincidence rate checking rule and the preset cable parameter information, and a corresponding coincidence rate checking result is obtained.

[0043] According to the coincidence rate checking rule and the cable parameter information, the coincidence degree between the analysis information and the detection script is checked to obtain the coincidence rate checking result. The coincidence rate checking result can be used to reflect the coincidence degree between the analysis information and the test script.

[0044] In an embodiment, S130 includes the following steps: aligning the analysis information and the detection script according to the cable parameter information to obtain aligned analysis information corresponding to the analysis information; statistically comparing the numerical values of the aligned analysis information and the detection script to obtain corresponding numerical statistical information; calculating the proportion of the number of numerical coincidences in the numerical statistical information to obtain the corresponding coincidence rate checking result.

[0045] The signal transmission delay can be calculated according to the overall length in the cable parameter information. The signal transmission delay is L1 / c, where L1 is the overall length of the cable and c is the speed of light. The analysis information and the detection script are aligned according to the signal transmission delay, that is, the time value corresponding to each signal in the analysis information on the time axis is subtracted by the signal transmission delay, to eliminate the error of the analysis information checked by the signal transmission delay, and to obtain corresponding aligned analysis information. The time value corresponding to the first analysis value in the aligned analysis information is close to the coordinate origin "0". The time value of the first analysis value is the start collection time of the analysis value corresponding to the pulse wave.

[0046] The signal sequence of each group of signals (one group of signals contains the channel signals of two strands) in the alignment analysis information is compared with the detection script. The detection script can correspondingly generate a time-series binary sequence, and the corresponding emission signal matched with the time-series binary sequence is emitted through the pulse generator. The time-series binary sequence is also composed of "0" and "1" arranged in sequence along the time axis. Whether the values at the same position coincide can be determined according to the time-series binary sequence. If the time values of the corresponding binary sequence and the two values in the alignment analysis information are located in the same period, it is determined that the two values are located at the same position. That is, whether the analysis value in the signal sequence of each group of signals is equal to the value at the same position in the corresponding binary sequence of the detection script is determined. According to the above method, the number of coinciding values and the number of non-coinciding values in the alignment analysis information of each group of signals and the corresponding binary sequence of the detection script can be sequentially counted as the corresponding value statistical information.

[0047] The proportion of the number of coinciding values in the value statistical information is further calculated. If any analysis value at the same position in the value statistical information is a non-coinciding value, it is determined that the value at the position does not coincide with the detection script. If each analysis value at the same position in the value statistical information is a coinciding value, it is determined that the value at the position coincides with the detection script. The proportion of the number of coinciding values is counted, and the coincidence rate verification result is obtained.

[0048] S140, according to the preset comparison detection model, the transmitted signal and the returned signal are compared and detected to obtain a corresponding comparison detection result.

[0049] The transmitted signal and the returned signal are further compared and detected according to the comparison detection model. The transmitted signal can contain at least two groups of detection signals. One group of detection signals has a gradually increasing fixed frequency and signal voltage difference (i.e., the voltage difference between the two strands in the same group of signals), such as a fixed frequency of 80 MHz and a signal voltage difference of 6V / -6V, 4.5V / -4.5V, 3V / -3V, and 2V / -2V. Another group of detection signals has a gradually increasing fixed signal voltage difference and frequency (the frequency selected by the cable is selected from the corresponding frequency band), such as a fixed signal voltage difference of 3.3V / -3.3V and a frequency of 20 MHz, 40 MHz, 60 MHz, and 100 MHz. The pulse waves of the two groups of detection signals are rectangular or trapezoidal. The signal characteristics of the two groups of detection signals output after transmission through the communication cable can be correspondingly reflected in the returned signal. Since the returned signal corresponds to the transmitted signal, the transmitted signal and the returned signal can be compared and detected through the comparison detection model, and the corresponding comparison detection result can be obtained.

[0050] In an embodiment, step S140 comprises the following steps: performing contrast analysis on the transmission signal and the return signal according to the attenuation contrast analysis rule in the contrast detection model to obtain a corresponding signal intensity attenuation rate; performing contrast analysis on the transmission signal and the return signal according to the drift contrast analysis rule in the contrast detection model to obtain a corresponding transmission frequency drift coefficient; performing contrast analysis on the transmission signal and the return signal according to the stability contrast analysis rule in the contrast detection model to obtain a corresponding waveform stability coefficient; and combining the signal intensity attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient of each channel signal in the return signal to obtain the contrast detection result.

[0051] The contrast detection of the transmission signal and the return signal involves signal attenuation contrast analysis, frequency drift contrast analysis, stability contrast analysis and the like. The transmission signal and the return signal can be contrast analyzed according to the attenuation contrast analysis rule in the contrast detection model, so as to obtain a signal intensity attenuation rate. Specifically, the ratio between the maximum voltage value of each channel signal in the return signal in a single period and the corresponding basic voltage value in the transmission signal can be calculated, and the average value corresponding to the ratio can be calculated, so as to obtain the signal intensity attenuation rate corresponding to each channel signal respectively. The calculation function configured in the attenuation contrast analysis rule can be expressed by formula (1) as follows:

[0052] (1);

[0053] S is the signal intensity attenuation rate of the channel signal of a certain strand as a whole, C n is the signal voltage difference corresponding to the nth detection in the transmission signal (such as 6V / -6V, 4.5V / -4.5V, 3.3V / -3.3V, 3V / -3V, 2V / -2V and the like), |C n | / 2 is the basic voltage value corresponding to the signal voltage difference C n , T n is the period time corresponding to the nth detection in the transmission signal (the period time is inversely proportional to the frequency of detection); C n is the number of pulse waves of the nth detection in the transmission signal (the number of pulse waves can also be calculated by the length of detection time x frequency), v i is the maximum voltage value of the i th pulse wave corresponding to a certain signal voltage difference in the channel signal, and N is the total number of signal voltage differences. Then, the signal intensity attenuation rate corresponding to each channel signal can be calculated in sequence by the above method, and the value range of the signal intensity attenuation rate is [0, 1]; the greater the signal intensity attenuation rate, the more the intensity attenuation in the transmission process of the channel signal.

[0054] The transmission frequency drift coefficient can be obtained by comparing and analyzing the transmitting signal and the backhaul signal according to the drift comparison analysis rule in the comparison detection model. Specifically, the signal corresponding to each detected signal frequency (the signal frequency is 20 MHz, 40 MHz, 60 MHz, 80 MHz or 100 MHz) of the transmitting signal is subjected to frequency domain transformation to obtain the corresponding reference frequency domain signal distribution. Similarly, the signal corresponding to each signal frequency in the channel signal is subjected to frequency domain transformation to obtain the corresponding comparison frequency domain signal distribution, which can be realized based on fast Fourier transform (FFT) calculation. The reference frequency domain signal distribution and the comparison frequency domain signal distribution of the same signal frequency are superimposed and compared. Generally, the region with a strong signal amplitude in the reference frequency domain signal distribution of a certain signal frequency usually has a certain multiple relationship with the signal frequency, so the corresponding reference frequency can be determined according to the multiple relationship and the signal frequency. For example, if the signal frequency is 80 MHz, the corresponding reference frequencies are 4 MHz, 8 MHz, 16 MHz, 20 MHz, 40 MHz, 80 MHz, 120 MHz, 160 MHz, etc. The corresponding frequency range is determined according to the reference frequency. For example, if the reference frequency is 20 MHz, the corresponding frequency range is determined to be [18.5 MHz, 22.0 MHz]. The maximum amplitude of the frequency range of each reference frequency in the reference frequency domain signal distribution is obtained, and it is determined whether the maximum amplitude is greater than the preset comparison amplitude threshold. If the maximum amplitude corresponding to the reference frequency is greater than the comparison amplitude threshold, the reference frequency is determined to be an effective reference frequency. Based on the frequency range corresponding to the effective reference frequency, the frequency value of the maximum amplitude in the frequency range in the comparison frequency domain signal distribution is obtained as the comparison frequency value. According to the calculation function set in the drift comparison analysis rule, the effective reference frequency and the comparison frequency value corresponding to each effective reference frequency are calculated to obtain the corresponding transmission frequency drift coefficient. The specific calculation function is shown in formula (2):

[0055] (2);

[0056] B is the transmission frequency drift coefficient of the channel signal of a certain strand calculated, r j is the drift component corresponding to the jth detection in the transmitting signal, f z is the signal frequency corresponding to the jth detection (such as 20 MHz, 40 MHz, 60 MHz, 80 MHz, 100 MHz, etc.), t j is the weighting coefficient corresponding to the jth detection, f i1 is the comparison frequency value corresponding to the ith effective reference frequency in the jth detection, f i0is the frequency value of the i-th valid reference frequency in the j-th detection, and K is the total number of valid reference frequencies corresponding to the j-th detection (the total number of valid reference frequencies K of different detections can be different). Then, the transmission frequency drift coefficients corresponding to the channel signals can be sequentially calculated by the above method, and the value range of the transmission frequency drift coefficient is [0, 1]; the closer the transmission frequency drift coefficient is to 1, the smaller the frequency change in the channel signal transmission process.

[0057] Further, the transmission signal and the backhaul signal are compared and analyzed according to the stability comparison analysis rule in the comparison detection model to obtain the corresponding waveform stability coefficient. Specifically, the transmission wave energy density of the transmission signal and the backhaul wave energy density corresponding to each channel signal in the backhaul signal can be sequentially calculated by the calculation function in the stability comparison analysis rule, and the backhaul wave energy density of each channel signal is divided by the transmission wave energy density, so as to obtain the waveform stability coefficient of each channel signal.

[0058] Specifically, the wave energy density can be calculated by formula (3) as follows:

[0059] (3);

[0060] Wherein, p is the calculated wave energy density, U is the total number of pulse waves in the transmission signal or the channel signal, T u is the cycle time of the u-th pulse wave; v(t) is an amplitude function corresponding to time t, and the specific value represents the amplitude of the u-th pulse wave corresponding to time t; e is the natural logarithm base. Then, the waveform stability coefficients corresponding to each channel signal can be calculated according to the above steps, and the value range of the waveform stability coefficient is [0, 1]; the higher the waveform stability coefficient, the more stable the waveform of each pulse wave in the channel signal.

[0061] The signal intensity attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient of each channel signal in the backhaul signal are combined to obtain the corresponding comparison detection result.

[0062] S150, according to the pre-set quality detection strategy and the cable parameter information, the coincidence rate checking result and the comparison detection result are detected in quality, and the quality detection result of whether qualified is obtained.

[0063] Further, the coincidence rate checking result and the comparison detection result are comprehensively quality detected according to the quality detection strategy and the cable parameter information, that is, the quality of the cable is detected and judged whether qualified, so as to obtain the quality detection result of whether qualified.

[0064] In an embodiment, the step S150 comprises the following steps: obtaining threshold setting information corresponding to the cable parameter information according to a threshold configuration table in the quality detection strategy; judging whether the signal strength attenuation rates of the channel signals in the comparison detection result are not greater than an attenuation rate threshold in the threshold setting information; if the signal strength attenuation rates are not greater than the attenuation rate threshold, performing evaluation calculation on the coincidence rate checking result and the comparison detection result according to a quality evaluation function in the quality detection strategy to obtain a corresponding communication quality coefficient; and judging whether the communication quality coefficient is greater than a quality coefficient threshold in the threshold setting information to obtain a qualified quality detection result.

[0065] Specifically, threshold setting can be performed according to the threshold configuration table in the quality detection strategy to obtain threshold setting information corresponding to the cable parameter information. The threshold setting information is related to the overall length of the cable, the cable applicable frequency band and the cross-sectional area of the strand. The threshold configuration table contains multiple sets of thresholds, each set of thresholds corresponds to a set of matching information, and each set of matching information includes a length interval, an applicable frequency band and a cross-sectional area interval. The cable parameter information can be matched with the matching information of each set of thresholds in the threshold configuration table to obtain a set of thresholds matched with the cable parameter information as the corresponding threshold setting information. The threshold setting information includes an attenuation rate threshold and a quality coefficient threshold.

[0066] Further, it is judged whether the signal strength attenuation rates of the channel signals are not greater than the attenuation rate threshold in the threshold setting information. If the signal strength attenuation rates of the channel signals are not greater than the attenuation rate threshold, it is determined that the signal strength attenuation rates meet the corresponding requirements, and subsequent quality evaluation processing is continued. If the signal strength attenuation rate of a channel signal is greater than the attenuation rate threshold, it is determined that the signal strength attenuation rate does not meet the corresponding requirements, and an unqualified quality detection result is obtained.

[0067] The subsequent quality evaluation processing comprises the following steps: performing evaluation calculation on the coincidence rate checking result and the comparison detection result according to a quality evaluation function in the quality detection strategy to obtain a corresponding communication quality coefficient; further judging whether the communication quality coefficient is greater than a quality coefficient threshold in the threshold setting information; if the communication quality coefficient is greater than the quality coefficient threshold, a qualified quality detection result is obtained; and if the communication quality coefficient is not greater than the quality coefficient threshold, an unqualified quality detection result is obtained.

[0068] In an embodiment, the evaluating and calculating the coincidence rate checking result and the comparison detection result according to the quality evaluation function in the quality detection strategy to obtain a corresponding communication quality coefficient comprises: obtaining group difference information corresponding to a signal strength attenuation rate, a transmission frequency drift coefficient and a waveform stability coefficient in the comparison detection result respectively; and evaluating and calculating the coincidence rate checking result, the comparison detection result and the group difference information according to the quality evaluation function to obtain a corresponding communication quality coefficient.

[0069] Specifically, the group difference information corresponding to the signal strength attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient in the comparison detection result can be obtained. Taking the signal strength attenuation rate of each channel signal as an example, the difference between the signal strength attenuation rates of two channel signals in the same group of signals is calculated, and the absolute value is taken to obtain an attenuation rate difference absolute value; and the average value of the attenuation rate difference absolute values of each group of signals is calculated as the group difference information corresponding to the signal strength attenuation rate. Then, the group difference information corresponding to the signal strength attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient can be obtained in sequence by the above method.

[0070] The coincidence rate checking result, the comparison detection result and the group difference information are evaluated and calculated by the quality evaluation function to obtain a corresponding communication quality coefficient; the quality evaluation function can be represented by formula (4) as follows:

[0071] (4);

[0072] Wherein, X is the calculated communication quality coefficient, x0 is a unit quality coefficient, v0 is a unit volume of the strand, R0 is a unit attenuation parameter corresponding to v0, L1 is the overall length of the cable, s1 is the cross-sectional area of the strand; G is the coincidence rate checking result, , and are average values corresponding to the signal strength attenuation rate S, the transmission frequency drift coefficient B and the waveform stability coefficient W respectively, and Z W , Z S and Z B are group difference information corresponding to S, B and W respectively. The calculated communication quality coefficient can reflect the comprehensive communication quality of the multiple strands in the communication cable.

[0073] In the method for intelligently detecting the aviation communication cable provided in the embodiments of the present application, the method comprises: generating corresponding transmission signals according to a pre-stored detection script and outputting the transmission signals to one of the communication seats, and obtaining corresponding return signals from another of the communication seats; analyzing the return signals to obtain corresponding analysis information; checking the analysis information and the detection script according to a coincidence rate checking rule and cable parameter information to obtain a coincidence rate checking result; comparing the transmission signals and the return signals according to a comparison detection model to obtain a comparison detection result; and performing quality detection on the coincidence rate checking result and the comparison detection result according to a quality detection strategy and cable parameter information to obtain a quality detection result of whether the quality detection is qualified. Through the above method, the transmission signals and the return signals can be intelligently compared and analyzed to obtain a high-reliability quality detection result, and the efficiency and reliability of the quality detection of the communication line are greatly improved.

[0074] The embodiments of the present application also provide an intelligent detection device for an aviation communication cable, which can be arranged in a detection terminal 10, the detection terminal 10 being in communication connection with an environment simulation device 20 and two communication seats 30, each of the communication seats 30 being connected with at least two strands of an aviation communication cable 31 at one end, the aviation communication cable 31 being composed of an even number of twisted strands 311, and the aviation communication cable 31 being arranged in the environment simulation device 20, the intelligent detection device for the aviation communication cable being used for executing any of the above-mentioned embodiments of the intelligent detection method for the aviation communication cable. Specifically, refer to Figure 4 , Figure 4 The intelligent detection device for the aviation communication cable provided in the embodiments of the present application is shown in a schematic block diagram.

[0075] As shown in Figure 4 , the intelligent detection device for the aviation communication cable 100 comprises a signal acquisition unit 110, a return signal analysis unit 120, a checking unit 130, a comparison detection unit 140, and a quality detection result acquisition unit 150.

[0076] The signal acquisition unit 110 is used for generating corresponding transmission signals according to a pre-stored detection script and outputting the transmission signals to one of the communication seats, and obtaining return signals corresponding to the transmission signals from another of the communication seats.

[0077] The return signal analysis unit 120 is used for analyzing the return signals to obtain corresponding analysis information.

[0078] The checking unit 130 is used for checking the analysis information and the detection script according to a pre-stored coincidence rate checking rule and pre-stored cable parameter information to obtain a corresponding coincidence rate checking result.

[0079] The contrast detection unit 140 is configured to perform contrast detection on the transmission signal and the return signal according to a preset contrast detection model to obtain a corresponding contrast detection result.

[0080] The quality detection result acquisition unit 150 is configured to perform quality detection on the coincidence rate checking result and the contrast detection result according to a preset quality detection strategy and the cable parameter information to obtain a quality detection result of whether the quality detection is qualified.

[0081] The intelligent detection device for the aviation communication cable provided in the embodiment of the present application applies the intelligent detection method for the aviation communication cable, and the method comprises the following steps: generating a corresponding transmission signal according to a pre-stored detection script and outputting the transmission signal to one communication seat; obtaining a corresponding return signal from another communication seat; performing analysis on the return signal to obtain corresponding analysis information; performing checking on the analysis information and the detection script according to a coincidence rate checking rule and cable parameter information to obtain a coincidence rate checking result; performing contrast detection on the transmission signal and the return signal according to a contrast detection model to obtain a contrast detection result; and performing quality detection on the coincidence rate checking result and the contrast detection result according to a quality detection strategy and the cable parameter information to obtain a quality detection result of whether the quality detection is qualified. Through the above method, the transmission signal and the return signal can be intelligently compared and analyzed to obtain a high-reliability quality detection result, and the efficiency and reliability of the quality detection of the communication line are greatly improved.

[0082] The intelligent detection device for the aviation communication cable can be realized in the form of a computer program, and the computer program can run on a computer device as shown in Figure 5 . The computer device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor; and the computer device realizes the intelligent detection method for the aviation communication cable as described in the above embodiment when the computer program is executed.

[0083] Please refer to Figure 5 , Figure 5 is a schematic block diagram of the computer device provided in the embodiment of the present application. The computer device can be a detection terminal for executing the intelligent detection method for the aviation communication cable to perform quality detection on the communication cable.

[0084] Please refer to Figure 5 , the computer device 500 comprises a processor 502, a memory and a network interface 505 connected through a system bus 501, wherein the memory can comprise a storage medium 503 and an internal memory 504.

[0085] The storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, can cause the processor 502 to perform the intelligent detection method of the aviation communication cable, where the storage medium 503 can be a volatile storage medium or a non-volatile storage medium.

[0086] The processor 502 is configured to provide computing and control capabilities to support the operation of the entire computer device 500.

[0087] The internal storage 504 provides an environment for the computer program 5032 in the storage medium 503 to run, and the computer program 5032, when executed by the processor 502, can cause the processor 502 to perform the intelligent detection method of the aviation communication cable.

[0088] The network interface 505 is configured to perform network communication, such as providing transmission of data information, etc. Those skilled in the art can understand that, Figure 5 The structure shown in FIG. 5 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device 500 to which the scheme of the present application is applied. Specifically, the computer device 500 can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0089] The processor 502 is configured to run the computer program 5032 stored in the memory to implement the corresponding functions in the intelligent detection method of the aviation communication cable described above.

[0090] Those skilled in the art can understand that, Figure 5 The embodiments of the computer device shown in FIG. 5 do not constitute a limitation on the specific structure of the computer device. In other embodiments, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement. For example, in some embodiments, the computer device can only include a memory and a processor, and in such embodiments, the structure and functions of the memory and the processor are consistent with those of the memory 504 and the processor 502 shown in the embodiments, and will not be described here. Figure 5 The embodiments of the computer device shown in FIG. 5 do not constitute a limitation on the specific structure of the computer device. In other embodiments, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement. For example, in some embodiments, the computer device can only include a memory and a processor, and in such embodiments, the structure and functions of the memory and the processor are consistent with those of the memory 504 and the processor 502 shown in the embodiments, and will not be described here.

[0091] It should be understood that, in the embodiments of the present application, the processor 502 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0092] In another embodiment of the present application, a computer readable storage medium is provided. The computer readable storage medium can be a volatile or non-volatile computer readable storage medium. The computer readable storage medium stores a computer program which, when executed by a processor, implements the steps included in the method for intelligently detecting an aviation communication cable described above.

[0093] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the devices, apparatuses and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be described here. Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been described in a general manner in the foregoing description. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0094] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely schematic, for example, the division of the units is merely logical function division, and actual implementation can have another division manner, or units with the same function can be combined into one unit, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can also be electrical, mechanical or other form of connection.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0096] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0097] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned computer-readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), magnetic disks, or optical disks.

[0098] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for intelligent detection of an aviation communication cable, characterized in that, The method is applied to a detection terminal, the detection terminal is connected with an environment simulation device and two communication seats respectively, each communication seat is connected with at least two strands of one end of an aviation communication cable, the aviation communication cable is composed of at least two even strands, the aviation communication cable is placed in the environment simulation device, and the method comprises the following steps: According to the pre-stored detection script, a corresponding transmission signal is generated and output to one of the communication seats, and a corresponding return signal corresponding to the transmission signal is obtained by another communication seat; The return signal is analyzed to obtain corresponding analysis information; According to the preset coincidence rate checking rule and the preset cable parameter information, the analysis information and the detection script are checked to obtain a corresponding coincidence rate checking result; According to the preset comparison detection model, the transmission signal and the return signal are compared and detected to obtain a corresponding comparison detection result; According to the preset quality detection strategy and the cable parameter information, the coincidence rate checking result and the comparison detection result are detected to obtain a quality detection result of whether they are qualified.

2. The method of intelligent detection of an aviation communication cable according to claim 1, wherein, Before the step of generating a corresponding transmission signal according to the pre-stored detection script and outputting the transmission signal to one of the communication seats, the following step is further included: From the preset script database, a script matched with the cable parameter information is obtained as the detection script.

3. The method of intelligent detection of an aviation communication cable according to claim 2, wherein, Before the step of analyzing the return signal to obtain corresponding analysis information, the following steps are further included: According to the channel coding of each channel in the return signal, a channel signal corresponding to each channel is determined; According to the combination relationship between the channels, the channel signals are grouped to obtain corresponding signal grouping information; each group corresponds to two channels, and each strand corresponds to one channel.

4. The method of intelligent detection of an aviation communication cable according to any one of claims 1-3, characterized in that, The step of checking the analysis information and the detection script according to the preset coincidence rate checking rule and the preset cable parameter information to obtain a corresponding coincidence rate checking result comprises the following steps: According to the cable parameter information, the analysis information and the detection script are aligned to obtain aligned analysis information corresponding to the analysis information; The aligned analysis information and the detection script are compared and counted to obtain corresponding numerical statistical information; The proportion of the number of coincidences in the numerical statistical information is calculated to obtain a corresponding coincidence rate checking result.

5. The method of intelligent detection of an aviation communication cable according to any one of claims 1-3, characterized in that, The step of comparing and detecting the transmission signal and the return signal according to the preset comparison detection model to obtain a corresponding comparison detection result comprises the following steps: According to the attenuation comparison analysis rule in the comparison detection model, the transmission signal and the return signal are compared and analyzed to obtain a corresponding signal strength attenuation rate; According to the drift comparison analysis rule in the comparison detection model, the transmission signal and the return signal are compared and analyzed to obtain a corresponding transmission frequency drift coefficient; According to the stability comparison analysis rule in the comparison detection model, the transmission signal and the return signal are compared and analyzed to obtain a corresponding waveform stability coefficient; The signal strength attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient of each channel signal in the return signal are combined to obtain the comparison detection result.

6. The method of intelligent detection of an aviation communication cable according to any one of claims 1-3, wherein, The quality detection result of whether qualified is obtained by quality detecting the coincidence rate checking result and the comparison detection result according to the preset quality detection strategy and the cable parameter information, and the quality detection result comprises: According to the threshold configuration table in the quality detection strategy, the threshold setting information corresponding to the cable parameter information is obtained; It is judged whether the signal strength attenuation rate of each channel signal in the comparison detection result is not greater than the attenuation rate threshold in the threshold setting information; If the signal strength attenuation rate is not greater than the attenuation rate threshold, the communication quality coefficient corresponding to the coincidence rate checking result and the comparison detection result is obtained by evaluating and calculating the quality evaluation function in the quality detection strategy. It is judged whether the communication quality coefficient is greater than the quality coefficient threshold in the threshold setting information, and the quality detection result of whether qualified is obtained.

7. The method of intelligent detection of an aviation communication cable of claim 6, wherein, The communication quality coefficient corresponding to the coincidence rate checking result and the comparison detection result is obtained by evaluating and calculating the quality evaluation function in the quality detection strategy, and the communication quality coefficient comprises: The in-group difference information corresponding to the signal strength attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient in the comparison detection result is obtained; The communication quality coefficient corresponding to the coincidence rate checking result, the comparison detection result and the in-group difference information is obtained by evaluating and calculating the quality evaluation function.

8. An intelligent detection device for an aviation communication cable, characterized in that, The device is arranged in a detection terminal, and the detection terminal is in communication connection with an environment simulation equipment and two communication seats respectively. Each communication seat is connected with at least two strands of one end of an aviation communication cable. The aviation communication cable is composed of at least two even strands. The aviation communication cable is placed in the environment simulation equipment. The intelligent detection device of the aviation communication cable is used to execute the intelligent detection method of the aviation communication cable according to any one of claims 1-7. The device comprises: A signal acquisition unit is configured to generate a corresponding transmission signal according to a pre-stored detection script and output the transmission signal to one of the communication seats, and acquire a return signal corresponding to the transmission signal from another communication seat. A return signal analysis unit is configured to analyze the return signal to obtain corresponding analysis information. A checking unit is configured to check the analysis information and the detection script according to a preset coincidence rate checking rule and preset cable parameter information to obtain a corresponding coincidence rate checking result. A comparison detection unit is configured to compare the transmission signal and the return signal according to a preset comparison detection model to obtain a corresponding comparison detection result. A quality detection result acquisition unit is configured to detect the coincidence rate checking result and the comparison detection result according to a preset quality detection strategy and the cable parameter information to obtain a quality detection result of whether qualified.

9. A computer device, comprising: The device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus; The memory is used to store a computer program. A processor is configured to implement the method for intelligently detecting an aviation communication cable according to any one of claims 1 to 7 when executing a program stored in a memory.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the method for intelligently detecting an aviation communication cable according to any one of claims 1 to 7.

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