Intelligent detection method, device and equipment for aeronautical communication cable and medium

Abstract

The invention discloses an intelligent detection method, device and equipment for an aviation communication cable and a medium. The method comprises the following steps: generating a corresponding emission signal according to a pre-stored detection script, outputting the emission signal to one communication seat, and obtaining a corresponding return signal by the other communication seat; analyzing the return signal to obtain corresponding analysis information; verifying the analysis information and the detection script according to a coincidence rate verification rule and the cable parameter information to obtain a coincidence rate verification result; performing comparison detection on the transmitting signal and the return signal according to a comparison detection model to obtain a comparison detection result; and according to the quality detection strategy and the cable parameter information, carrying out quality detection on the coincidence rate verification result and the comparison detection result to obtain a quality detection result indicating whether the detection result is qualified or not. According to the method, intelligent comparative analysis can be carried out on the transmitted signal and the returned signal, so that a high-reliability quality detection result is obtained, and the efficiency and reliability of communication line quality detection are greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of cable detection technology, and in particular to an intelligent detection method, device, equipment and medium for aviation communication cables. Background Art

[0002] With the development of information technology, communication cables are widely used in various electronic communication devices; however, communication cables used in the aviation field must meet high-quality specifications. On the one hand, due to their specialized application scenarios, aviation communication cables need to be used in high-temperature, low-temperature, or high-radiation environments (such as solar wind radiation). On the other hand, because aviation communication cables involve the communication and control of aviation equipment (such as drones), they place higher demands on the stability and reliability of data transmission than ordinary communication cables. Existing technical methods typically use an oscilloscope to scan the transmitted and returned signals and display the waveforms. Inspectors then check and compare the waveforms to see if the aviation communication cables meet quality requirements. However, this inspection process is usually only able to directly judge the more intuitive inspection items, and cannot conduct in-depth and comprehensive comparative analysis of the two sets of signals, resulting in low quality inspection efficiency for communication cables and insufficiently accurate test results. Therefore, existing technical methods cannot effectively inspect communication cables. Summary of the Invention

[0003] The embodiments of the present invention provide an intelligent detection method, device, equipment and medium for aviation communication cables, aiming to solve the problem that existing technical methods cannot efficiently detect communication cables.

[0004] In a first aspect, an embodiment of the present invention provides an intelligent detection method for aviation communication cables. The method is applied to a detection terminal, wherein the detection terminal is communicatively connected to an environmental simulation device and two communication sockets, each of which is connected to at least two strands at one end of an aviation communication cable, wherein the aviation communication cable is composed of at least two even-numbered strands twisted together. The aviation communication cable is placed in an environmental simulation device, and the method includes: Generate a corresponding transmission signal according to a pre-stored detection script and output it to one of the communication sockets, and obtain a return signal corresponding to the transmission signal by the other communication socket; Analyzing the returned signal to obtain corresponding analysis information; Verify the parsed information and the detection script according to preset coincidence rate verification rules and preset cable parameter information to obtain a corresponding coincidence rate verification result; Performing a comparative detection on the transmitted signal and the returned signal according to a preset comparative detection model to obtain a corresponding comparative detection result; The overlap rate check result and the comparison test result are quality tested according to a preset quality test strategy and the cable parameter information to obtain a qualified quality test result.

[0005] In a second aspect, an embodiment of the present invention provides an intelligent detection device for an aviation communication cable, wherein the device is configured in a detection terminal, the detection terminal is communicatively connected to an environmental simulation device and two communication sockets, each of the communication sockets is connected to at least two strands at one end of an aviation communication cable, the aviation communication cable is composed of at least two even-numbered strands twisted together, the aviation communication cable is placed in an environmental simulation device, and the intelligent detection device for the aviation communication cable is used to perform the intelligent detection method for the aviation communication cable as described in the first aspect above, the device comprising: A signal acquisition unit, configured to generate a corresponding transmission signal according to a pre-stored detection script and output the signal to one of the communication sockets, and to obtain a return signal corresponding to the transmission signal by another communication socket; A return signal analysis unit, configured to analyze the return signal to obtain corresponding analysis information; A verification unit, configured to verify the parsed information and the detection script according to a preset coincidence rate verification rule and preset cable parameter information to obtain a corresponding coincidence rate verification result; A comparison detection unit, configured to perform a comparison detection on the transmitted signal and the returned signal according to a preset comparison detection model to obtain a corresponding comparison detection result; The quality inspection result acquisition unit is used to perform quality inspection on the overlap rate verification result and the comparison inspection result according to the preset quality inspection strategy and the cable parameter information to obtain a quality inspection result indicating whether the quality inspection result is qualified.

[0006] In a third aspect, an embodiment of the present invention further provides an intelligent detection device for aviation communication cables, wherein the device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; Memory for storing computer programs; The processor is configured to implement the intelligent detection method for aviation communication cables as described in the first aspect above when executing the program stored in the memory.

[0007] In a fourth aspect, an embodiment of the present invention further provides 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 intelligent detection method for aviation communication cables as described in the first aspect above is implemented.

[0008] The embodiment of the present invention provides an intelligent detection method, device, equipment and medium for aviation communication cables. The method includes: generating a corresponding transmission signal according to a pre-stored detection script and outputting it to one of the communication sockets, and obtaining a corresponding return signal by the other communication socket; parsing the return signal to obtain corresponding analysis information; verifying the analysis information and the detection script according to the coincidence rate verification rule and the cable parameter information to obtain the coincidence rate verification result; performing a comparative detection on the transmission signal and the return signal according to the comparative detection model to obtain the comparative detection result; performing quality detection on the coincidence rate verification result and the comparative detection result according to the quality detection strategy and the cable parameter information to obtain a qualified quality detection result. Through the above method, the transmission signal and the return signal can be intelligently compared and analyzed to obtain a highly reliable quality detection result, which greatly improves the efficiency and reliability of the communication line quality detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 A flow chart of a method for intelligent detection of aviation communication cables provided by an embodiment of the present invention; Figure 2 A schematic diagram of an application scenario of the intelligent detection method for aviation communication cables provided by an embodiment of the present invention; Figure 3 This is an application effect diagram of the intelligent detection method for aviation communication cables provided by an embodiment of the present invention; Figure 4 A schematic block diagram of an intelligent detection device for aviation communication cables provided in an embodiment of the present invention; Figure 5 A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0012] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of 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.

[0013] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0014] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0015] See also Figure 1 and Figure 2 , Figure 1 A flow chart of a method for intelligent detection of aviation communication cables provided by an embodiment of the present invention, Figure 2 Schematic diagram of an application scenario for the intelligent detection method for aviation communication cables provided in an embodiment of the present invention; the intelligent detection method for aviation communication cables is applied to a detection terminal 10, which is communicatively connected to an environmental simulation device 20 and two communication sockets 30, each of which is connected to at least two strands of an aviation communication cable 31 at one end. The aviation communication cable 31 is composed of at least two twisted even-numbered strands 311, and the aviation communication cable 31 is placed in the environmental simulation device 20. The intelligent detection method for aviation communication cables is executed by application software installed in the detection terminal 10; the detection terminal 10 is a terminal device used to execute the intelligent detection method for aviation communication cables to perform quality inspection on communication cables, wherein the detection terminal 10 can be a desktop computer, laptop computer, tablet computer, or server terminal. The environmental simulation device 20 is used to simulate the external environment of the actual application process of the aviation communication cable 31, such as simulating a high temperature, low temperature or high radiation environment. The environmental simulation device 20 can be connected to the detection terminal 10 for communication, and the detection terminal 10 can send an environmental simulation instruction to the environmental simulation device 20 to control the environmental simulation device 20 to simulate the corresponding special environment. Figure 3As shown, the communication socket 30 is used to quickly connect / disconnect the aviation communication cable 31. Each communication socket 30 includes at least two even-numbered channels, and each channel can be connected to a strand 311 to achieve communication connection; then a strand 311 corresponds to a channel in the communication socket 30. The detection terminal 10 is connected to the two communication sockets 30 at the same time, one of which is used to output the transmission signal and the other is used to receive the return signal. Figure 1 As shown, the method includes steps S110 to S150.

[0016] S110 , generating a corresponding transmission signal according to a pre-stored detection script and outputting the signal to one of the communication sockets, and obtaining a return signal corresponding to the transmission signal by another communication socket.

[0017] The inspector can input the inspection instruction into the inspection terminal. After receiving the inspection instruction, the inspection terminal can read the pre-stored inspection script, and generate the corresponding transmission signal through the inspection script and output it to the communication socket used for signal transmission; the communication socket transmits the transmission signal to each strand, and the signal is transmitted in the strand and receives the corresponding return signal through another communication socket. The return signal is the signal corresponding to the transmission signal. In theory, as long as the strands remain connected, a set of corresponding return signals can be received by inputting the transmission 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 waves may be different, such as sending a high-level signal and a low-level signal of the same frequency to two strands at the same time; the transmission signal and the received return signal are both time domain signals.

[0018] In one embodiment, before step S110 , the method further includes: obtaining a script matching the cable parameter information from a preset script database as the detection script.

[0019] Users can also set cable parameters in the test instructions. These parameters include overall cable length, applicable frequency band, number of strands, and strand cross-sectional area. The test terminal has a pre-configured script database for storing scripts. The test terminal can retrieve a script matching the cable parameters from this database as the corresponding test script. The test script also includes signal generation code, which, when executed, generates the corresponding transmission signal.

[0020] S120: Analyze the returned signal to obtain corresponding analysis information.

[0021] The return signal is further analyzed. Both the transmitted signal and the return signal are composed of wave signals of a certain frequency. By analyzing the wave signals, the corresponding analysis information can be obtained.

[0022] In one embodiment, before step S120, the process also includes: determining a channel signal corresponding to each channel based on the channel coding of each channel in the return signal; grouping the channel signals according to the combination relationship between the channels to obtain corresponding signal grouping information; each group corresponds to two channels, and each strand corresponds to one channel.

[0023] Specifically, since the return signal contains signals corresponding to multiple channels, the multiple groups of signals in the return signal can be grouped and organized according to the channel. The channel signal corresponding to each channel is determined based on the channel change of each channel. Each channel corresponds to a group of channel signals in the return signal.

[0024] Furthermore, if two adjacent channels are grouped together, the channel signals can be grouped based on the combination relationship between the channels, thereby obtaining corresponding signal grouping information. For example, if the two channel codes are "1-1" and "1-2," the channel signals corresponding to the two channel codes can be combined to form a group of signals. In other words, each group contains the channel signals corresponding to the two channels, and each strand corresponds to a channel. The difference between two channel signals in the same group is considered the intra-group difference, while the difference between two different groups of signals is considered the inter-group difference.

[0025] The pulse wave of a single cycle of two strands in the same group of return signals can be parsed. Specifically, the voltage difference between the pulse waves of the two strands within a single cycle is obtained and parsed. A determination is made as to whether the voltage difference is greater than a first difference threshold (e.g., set to 0.20V). If so, the parsed value corresponding to that cycle is "1." A determination is made as to whether the voltage difference is less than a second difference threshold (e.g., set to -0.20V), and the parsed value corresponding to that cycle is "0." If the voltage difference is between -0.20V and 0.20V, the parsed value corresponding to that cycle is "-," indicating that the pulse wave signal cannot be parsed. Parsing the channel signals of the two strands in a group of signals yields a signal sequence. The parsed information for each group of signals is a binary sequence of "0"s and "1"s arranged sequentially along the time axis. The signal sequence obtained for each group of signals serves as the corresponding parsed information.

[0026] S130 , verifying the parsed information and the detection script according to preset coincidence rate verification rules and preset cable parameter information to obtain a corresponding coincidence rate verification result.

[0027] According to the coincidence rate verification rules and cable parameter information, the degree of coincidence between the parsing information and the detection script is verified to obtain the coincidence rate verification result; the coincidence rate verification result can be used to reflect the coincidence degree between the parsing information and the test script.

[0028] In one embodiment, step S130 includes the following steps: aligning the parsing information with the detection script according to the cable parameter information to obtain aligned parsing information corresponding to the parsing information; performing numerical comparison statistics on the aligned parsing information and the detection script to obtain corresponding numerical statistical information; calculating the proportion of the number of numerical overlaps in the numerical statistical information to obtain a corresponding overlap rate verification result.

[0029] The signal transmission delay can be calculated based on the overall length of 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 parsing information and the detection script are aligned based on this signal transmission delay. This is done by subtracting the signal transmission delay from the time value corresponding to each signal on the time axis in the parsing information to eliminate errors in parsing information verification due to the signal transmission delay, thereby obtaining the corresponding aligned parsing information. The time value corresponding to the first parsing value in the aligned parsing information is close to the coordinate origin "0" and is the starting acquisition time of the pulse wave corresponding to the parsing value.

[0030] The alignment analysis information contains the signal sequence of each group of signals (one group of signals includes the channel signals of two strands). The signal sequence of each group of signals in the alignment analysis information is numerically compared and statistically analyzed with the detection script. The detection script can generate a corresponding time-series binary sequence and transmit a corresponding transmission signal that matches the time-series binary sequence through a pulse generator. This time-series binary sequence also consists of "0"s and "1"s arranged sequentially along the time axis. The time-series binary sequence can be used to determine whether the values ​​at the same position overlap. If the time values ​​of the two values ​​in the binary sequence corresponding to the detection script and the alignment analysis information fall within the same period, the two values ​​are determined to be at the same position. In other words, the analysis value in the signal sequence of each group of signals is determined to be equal to the value at the same position in the binary sequence corresponding to the detection script. According to the above method, numerical comparison statistics can be performed to sequentially calculate the number of overlapping values ​​and the number of non-overlapping values ​​in the binary sequence corresponding to the alignment analysis information and the detection script for each group of signals, which serves as the corresponding numerical statistical information.

[0031] The percentage of overlapping values ​​in the numerical statistics is further calculated. If any resolved value at the same position in the numerical statistics is a non-overlapping value, the value at that position is determined to be non-overlapping with the detection script. If all resolved values ​​at the same position in the numerical statistics are overlapping values, the value at that position is determined to be overlapping with the detection script. The percentage of overlapping values ​​is calculated to obtain the overlap rate verification result.

[0032] S140 : Perform comparative detection on the transmitted signal and the returned signal according to a preset comparative detection model to obtain a corresponding comparative detection result.

[0033] The transmitted signal and the return signal are then compared and tested based on the comparative detection model. The transmitted signal can include at least two sets of detection signals. One set of detection signals has a fixed frequency and a gradually increasing signal voltage difference (i.e., the voltage difference between the two wires in the same set), such as a fixed frequency of 80MHz, with corresponding signal voltage differences of 6V / -6V, 4.5V / -4.5V, 3V / -3V, and 2V / -2V. The other set of detection signals has a fixed signal voltage difference and a gradually increasing frequency (the detection frequency is selected from the applicable frequency band of the cable), such as a fixed signal voltage difference of 3.3V / -3.3V, with corresponding frequencies of 20MHz, 40MHz, 60MHz, and 100MHz. The pulse waves of both detection signals are rectangular, square, or trapezoidal. The signal characteristics of both detection signals after transmission through the communication cable can be reflected in the return signal. Since the return signal corresponds to the transmitted signal, the transmission signal and the return signal can be compared and tested using the comparative detection model to obtain corresponding comparative detection results.

[0034] In one embodiment, step S140 includes the following steps: performing comparative analysis on the transmitted signal and the return signal according to the attenuation comparative analysis rule in the comparative detection model to obtain a corresponding signal strength attenuation rate; performing comparative analysis on the transmitted signal and the return signal according to the drift comparative analysis rule in the comparative detection model to obtain a corresponding transmission frequency drift coefficient; performing comparative analysis on the transmitted signal and the return signal according to the stability comparative analysis rule in the comparative detection model to obtain a corresponding waveform stability coefficient; and combining the signal strength attenuation rate, transmission frequency drift coefficient and waveform stability coefficient of each channel signal in the return signal to obtain the comparative detection result.

[0035] Among them, the comparative detection of the transmitted signal and the return signal involves multiple aspects such as signal attenuation comparative analysis, frequency drift comparative analysis, and stability comparative analysis. The transmitted signal and the return signal can be compared and analyzed according to the attenuation comparative analysis rules in the comparative detection model to obtain the signal strength attenuation rate. Specifically, the ratio between the maximum voltage value of each channel signal in the return signal in a single cycle and the corresponding basic voltage value in the transmitted signal can be calculated, and the mean value corresponding to the ratio can be calculated to obtain the signal strength attenuation rate corresponding to each channel signal. The calculation function configured in the attenuation comparative analysis rule can be expressed by formula (1) as follows: (1); S is the calculated signal strength attenuation rate of the channel signal of a certain line, C nis the signal voltage difference corresponding to the nth detection in the transmitted signal (such as 6V / -6V, 4.5V / -4.5V, 3.3V / -3.3V, 3V / -3V, 2V / -2V, etc.), |C n | / 2 is the voltage difference from the signal C n The corresponding basic voltage value, T n is the cycle time corresponding to the nth detection in the transmitted signal (the cycle time is inversely proportional to the detection frequency); C n is the number of pulse waves detected in the transmitted signal (the number of pulse waves can also be calculated by multiplying the detection time by the 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. The signal strength attenuation rate corresponding to each channel signal can be calculated sequentially using the above method. The signal strength attenuation rate ranges from [0, 1]. A larger signal strength attenuation rate indicates greater strength attenuation during channel signal transmission.

[0036] The transmitted signal and the return signal can be compared and analyzed based on the drift comparison analysis rules in the comparison detection model to obtain the transmission frequency drift coefficient. Specifically, the signal corresponding to each detected signal frequency of the transmitted signal (signal frequencies of 20MHz, 40MHz, 60MHz, 80MHz, or 100MHz) is transformed in the frequency domain to obtain the corresponding reference frequency domain signal distribution. Similarly, the signal corresponding to each signal frequency in each channel signal is transformed in the frequency domain to obtain the corresponding comparison frequency domain signal distribution. The frequency domain transformation can be achieved based on Fast Fourier Transform (FFT) calculations. The reference frequency domain signal distribution and the comparison frequency domain signal distribution for the same signal frequency are superimposed and compared. Generally speaking, the region with a strong signal amplitude in the reference frequency domain signal distribution for a certain signal frequency usually has a certain magnification relationship with the signal frequency. The corresponding reference frequency can be determined based on this magnification relationship and the signal frequency. For example, if the signal frequency is 80MHz, the corresponding reference frequencies are 4MHz, 8MHz, 16MHz, 20MHz, 40MHz, 80MHz, 120MHz, 160MHz, and so on. Determine the corresponding frequency range based on the reference frequency. For example, if the reference frequency is 20 MHz, determine the corresponding frequency range to be [18.5 MHz, 22.0 MHz]. Obtain the maximum amplitude corresponding to the frequency range of each reference frequency in the reference frequency domain signal distribution, and determine 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, then determine that the reference frequency is a valid reference frequency. Based on the frequency range corresponding to the valid reference frequency, obtain the frequency value of the maximum amplitude within the frequency range in the comparison frequency domain signal distribution as the comparison frequency value; calculate the effective reference frequency and the comparison frequency values ​​corresponding to each valid reference frequency according to the calculation function set in the drift comparison analysis rule to obtain the corresponding transmission frequency drift coefficient. The specific calculation function is shown in Formula (2): (2); B is the calculated transmission frequency drift coefficient of the channel signal of a certain line, r j is the drift component corresponding to the jth detection in the transmitted signal, f z is the signal frequency corresponding to the jth detection (such as 20MHz, 40MHz, 60MHz, 80MHz, 100MHz, etc.), t j is the weighted coefficient corresponding to the j-th detection, f i1 is the comparison frequency value corresponding to the i-th effective reference frequency in the j-th 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 for different detection types may be different). The above method can be used to sequentially calculate the transmission frequency drift coefficient corresponding to each channel signal. The transmission frequency drift coefficient ranges from [0 to 1]. The closer the transmission frequency drift coefficient is to 1, the smaller the frequency change during channel signal transmission.

[0037] The transmitted signal and the return signal are then compared and analyzed according to the stability comparison analysis rules in the comparison detection model to obtain the corresponding waveform stability coefficient. Specifically, the calculation function in the stability comparison analysis rules can be used to sequentially calculate the transmitted wave energy density of the transmitted signal and the return wave energy density corresponding to each channel signal in the return signal. The return wave energy density of each channel signal is then divided by the transmitted wave energy density to obtain the waveform stability coefficient of each channel signal.

[0038] Specifically, the wave energy density can be calculated using formula (3): (3); Where ρ is the calculated wave energy density, U is the total number of pulse waves in the transmitted signal or channel signal, and T u is the period of the u-th pulse wave; v(t) is the amplitude function corresponding to time t, whose specific value is expressed as the amplitude of the u-th pulse wave at time t; e is the base of the natural logarithm. The waveform stability coefficient corresponding to each channel signal can be calculated according to the above steps. 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.

[0039] By combining the signal strength attenuation rate, transmission frequency drift coefficient and waveform stability coefficient of each channel signal in the return signal, a corresponding comparison detection result can be obtained.

[0040] S150: Perform quality inspection on the overlap rate verification result and the comparison inspection result according to a preset quality inspection strategy and the cable parameter information to obtain a qualified quality inspection result.

[0041] Further, comprehensive quality inspection is performed on the overlap rate verification results and the comparison inspection results based on the quality inspection strategy and cable parameter information, that is, whether the quality of the cable is qualified is inspected and judged, thereby obtaining a qualified quality inspection result.

[0042] In one embodiment, step S150 includes the following steps: obtaining threshold setting information corresponding to the cable parameter information according to the threshold configuration table in the quality detection strategy; judging 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, evaluating and calculating the overlap rate verification result and the comparison detection result according to the quality evaluation function in the quality detection strategy to obtain the corresponding communication quality coefficient; judging whether the communication quality coefficient is greater than the quality coefficient threshold in the threshold setting information to obtain a qualified quality detection result.

[0043] Specifically, thresholds can be set according to the threshold configuration table in the quality inspection 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 applicable frequency band of the cable, and the cross-sectional area of ​​the strands. The threshold configuration table contains multiple sets of thresholds, each corresponding to a set of matching information. Each set of matching information includes a length range, an applicable frequency band, and a cross-sectional area range. The cable parameter information can then be matched with the matching information of each set of thresholds in the threshold configuration table to obtain a set of thresholds that match the cable parameter information as the corresponding threshold setting information. The threshold setting information includes an attenuation rate threshold and a quality coefficient threshold.

[0044] Furthermore, it is determined whether the signal strength attenuation rate of each channel signal is not greater than the attenuation rate threshold in the threshold setting information. If the signal strength attenuation rate of each channel signal is not greater than the attenuation rate threshold, it is determined that the signal strength attenuation rate meets the corresponding requirements, and subsequent quality assessment processing is continued; if the signal strength attenuation rate of a certain 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.

[0045] The subsequent quality assessment process includes evaluating and calculating the overlap rate verification results and the comparison test results according to the quality assessment function in the quality detection strategy, thereby obtaining the corresponding communication quality coefficient; further judging whether the communication quality coefficient is greater than the 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; if the communication quality coefficient is not greater than the quality coefficient threshold, an unqualified quality detection result is obtained.

[0046] In one embodiment, the overlap rate verification result and the comparative detection result are evaluated and calculated according to the quality evaluation function in the quality detection strategy to obtain a corresponding communication quality coefficient, including: obtaining the intra-group difference information corresponding to the signal strength attenuation rate, the transmission frequency drift coefficient and the waveform stability coefficient in the comparative detection result; evaluating and calculating the overlap rate verification result, the comparative detection result and the intra-group difference information through the quality evaluation function to obtain a corresponding communication quality coefficient.

[0047] Specifically, the intra-group difference information corresponding to the signal strength attenuation rate, transmission frequency drift coefficient, and waveform stability coefficient in the comparison detection results 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 signal group is calculated, and the absolute value is taken to obtain the absolute value of the attenuation rate difference. The average of the absolute values ​​of the attenuation rate differences of each group of signals is calculated as the intra-group difference information corresponding to the signal strength attenuation rate. Through the above method, the intra-group difference information corresponding to the signal strength attenuation rate, transmission frequency drift coefficient, and waveform stability coefficient can be obtained in turn.

[0048] The quality evaluation function is used to evaluate and calculate the coincidence rate verification results, comparison test results and intra-group difference information to obtain the corresponding communication quality coefficient; the quality evaluation function can be expressed as follows using formula (4): (4); Where X is the calculated communication quality coefficient, x0 is the unit quality coefficient, v0 is the unit volume of the strand, R0 is the unit attenuation parameter corresponding to v0, L1 is the overall length of the cable, s1 is the strand cross-sectional area; G is the coincidence rate verification result, 、 and are the average values ​​corresponding to the signal strength attenuation rate S, the transmission frequency drift coefficient B, and the waveform stability coefficient W, respectively. W , Z S and Z B are the intra-group difference information corresponding to S, B, and W. The calculated communication quality coefficient can reflect the comprehensive communication quality of multiple strands in the communication cable.

[0049] In the intelligent detection method for aviation communication cables provided in an embodiment of the present invention, the method includes: generating a corresponding transmission signal according to a pre-stored detection script and outputting it to one of the communication sockets, and obtaining a corresponding return signal by the other communication socket; parsing the return signal to obtain corresponding analysis information; verifying the analysis information and the detection script according to the coincidence rate verification rules and the cable parameter information to obtain a coincidence rate verification result; performing a comparative detection on the transmission signal and the return signal according to the comparative detection model to obtain a comparative detection result; performing a quality detection on the coincidence rate verification result and the comparative detection result according to the quality detection strategy and the cable parameter information to obtain a qualified quality detection result. Through the above method, the transmission signal and the return signal can be intelligently compared and analyzed to obtain a highly reliable quality detection result, which greatly improves the efficiency and reliability of the communication line quality detection.

[0050] The embodiment of the present invention also provides an intelligent detection device for aviation communication cables. The intelligent detection device for aviation communication cables can be configured in a detection terminal 10. The detection terminal 10 is respectively connected to the environmental simulation device 20 and two communication sockets 30 for communication. Each of the communication sockets 30 is respectively connected to at least two strands of an aviation communication cable 31 at one end. The aviation communication cable 31 is composed of at least two even-numbered strands 311 twisted together. The aviation communication cable 31 is placed in the environmental simulation device 20. The intelligent detection device for aviation communication cables is used to execute any embodiment of the aforementioned intelligent detection method for aviation communication cables. Specifically, please refer to Figure 4 , Figure 4 A schematic block diagram of an intelligent detection device for aviation communication cables provided in an embodiment of the present invention.

[0051] like Figure 4 As shown, the intelligent detection device 100 for aviation communication cables includes a signal acquisition unit 110 , a return signal analysis unit 120 , a verification unit 130 , a comparison detection unit 140 and a quality detection result acquisition unit 150 .

[0052] The signal acquisition unit 110 is used to generate a corresponding transmission signal according to a pre-stored detection script and output it to one of the communication sockets, and the other communication socket acquires a return signal corresponding to the transmission signal.

[0053] The return signal analysis unit 120 is configured to analyze the return signal to obtain corresponding analysis information.

[0054] The verification unit 130 is used to verify the parsing information and the detection script according to the preset coincidence rate verification rules and the preset cable parameter information to obtain a corresponding coincidence rate verification result.

[0055] The comparison detection unit 140 is configured to perform comparison detection on the transmitted signal and the returned signal according to a preset comparison detection model to obtain a corresponding comparison detection result.

[0056] The quality inspection result acquisition unit 150 is configured to perform quality inspection on the overlap rate verification result and the comparison inspection result according to a preset quality inspection strategy and the cable parameter information to obtain a qualified quality inspection result.

[0057] The intelligent detection device for aviation communication cables provided in the embodiment of the present invention applies the above-mentioned intelligent detection method for aviation communication cables, and the method includes: generating a corresponding transmission signal according to a pre-stored detection script and outputting it to one of the communication sockets, and obtaining a corresponding return signal by the other communication socket; parsing the return signal to obtain corresponding analysis information; verifying the analysis information and the detection script according to the coincidence rate verification rule and the cable parameter information to obtain the coincidence rate verification result; performing a comparative detection on the transmission signal and the return signal according to the comparative detection model to obtain the comparative detection result; performing quality detection on the coincidence rate verification result and the comparative detection result according to the quality detection strategy and the cable parameter information to obtain a qualified quality detection result. Through the above-mentioned method, the transmission signal and the return signal can be intelligently compared and analyzed to obtain a highly reliable quality detection result, which greatly improves the efficiency and reliability of the communication line quality detection.

[0058] The intelligent detection device for aviation communication cables can be implemented in the form of a computer program. The computer program can be used in Figure 5 The computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor; when the computer device executes the computer program, the intelligent detection method for aviation communication cables described in the above embodiment is implemented.

[0059] See also Figure 5 , Figure 5 1 is a schematic block diagram of a computer device provided by an embodiment of the present invention. The computer device may be a detection terminal for executing an intelligent detection method for aviation communication cables to perform quality detection on the communication cables.

[0060] See Figure 5 The computer device 500 includes a processor 502 , a memory, and a network interface 505 connected via a system bus 501 , wherein the memory may include a storage medium 503 and an internal memory 504 .

[0061] The storage medium 503 may store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, the processor 502 may execute an intelligent detection method for aviation communication cables. The storage medium 503 may be a volatile storage medium or a non-volatile storage medium.

[0062] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0063] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute the intelligent detection method for aviation communication cables.

[0064] The network interface 505 is used for network communication, such as providing data information transmission. Those skilled in the art will understand that Figure 5 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device 500 to which the solution of the present invention is applied. The specific computer device 500 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0065] The processor 502 is configured to run a computer program 5032 stored in the memory to implement corresponding functions in the above-mentioned intelligent detection method for aviation communication cables.

[0066] Those skilled in the art will understand that Figure 5 The embodiment of the computer device shown in the figure does not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such an embodiment, the structure and function of the memory and processor are the same as those in the figure. Figure 5 The embodiments shown are consistent and will not be described again here.

[0067] It should be understood that in the embodiment of the present invention, the processor 502 may be a central processing unit (CPU), and the processor 502 may 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 gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0068] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be volatile or non-volatile. The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps included in the aforementioned intelligent detection method for aviation communication cables.

[0069] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0070] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, or units with the same function may be combined into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be an electrical, mechanical or other form of connection.

[0071] The units described as separate components may or may not be physically separate, and 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 these units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0072] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0073] 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, or the part that contributes to the existing technology, 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 for causing a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0074] 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 such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. An intelligent detection method for aviation communication cables, characterized in that: The method is applied to a detection terminal, wherein the detection terminal is respectively connected to an environmental simulation device and two communication sockets, each of the communication sockets is respectively connected to at least two strands of an aviation communication cable at one end, the aviation communication cable being composed of at least two even-numbered strands twisted together, and the aviation communication cable being placed in the environmental simulation device. The method comprises: Generate a corresponding transmission signal according to a pre-stored detection script and output it to one of the communication sockets, and obtain a return signal corresponding to the transmission signal by the other communication socket; Analyzing the returned signal to obtain corresponding analysis information; Verify the parsed information and the detection script according to preset coincidence rate verification rules and preset cable parameter information to obtain a corresponding coincidence rate verification result; Performing a comparative detection on the transmitted signal and the returned signal according to a preset comparative detection model to obtain a corresponding comparative detection result; The overlap rate check result and the comparison test result are quality tested according to a preset quality test strategy and the cable parameter information to obtain a qualified quality test result.

2. The intelligent detection method for aviation communication cables according to claim 1, characterized in that: Before the corresponding transmission signal is generated according to the pre-stored detection script and outputted to one of the communication sockets, the method further includes: A script matching the cable parameter information is obtained from a preset script database as the detection script.

3. The intelligent detection method for aviation communication cables according to claim 2, characterized in that: Before parsing the return signal to obtain corresponding parsing information, the method further includes: Determine the channel signal corresponding to each channel according to the channel code of each channel in the return signal; According to the combination relationship between the channels, the channel signals are grouped to obtain corresponding signal grouping information; each group includes two channels, and each strand corresponds to one channel.

4. The intelligent detection method for aviation communication cables according to any one of claims 1 to 3, characterized in that: The parsing information and the detection script are verified according to the preset coincidence rate verification rules and the preset cable parameter information to obtain the corresponding coincidence rate verification result, including: Aligning the parsing information with the detection script according to the cable parameter information to obtain aligned parsing information corresponding to the parsing information; Performing numerical comparison and statistics on the alignment analysis information and the detection script to obtain corresponding numerical statistical information; Calculate the percentage of overlapping values ​​in the numerical statistical information to obtain the corresponding overlap rate verification result.

5. The intelligent detection method for aviation communication cables according to any one of claims 1 to 3, characterized in that: The performing comparative detection on the transmitted signal and the returned signal according to a preset comparative detection model to obtain a corresponding comparative detection result includes: Performing comparative analysis on the transmitted signal and the returned signal according to the attenuation comparative analysis rule in the comparative detection model to obtain corresponding signal strength attenuation rates; Performing comparative analysis on the transmitted signal and the returned signal according to the drift comparative analysis rule in the comparative detection model to obtain a corresponding transmission frequency drift coefficient; Comparing and analyzing the transmitted signal and the returned signal according to the stability comparison analysis rule in the comparison detection model to obtain a corresponding waveform stability coefficient; The signal strength attenuation rate, transmission frequency drift coefficient and waveform stability coefficient of each channel signal in the return signal are combined to obtain the comparison detection result.

6. The intelligent detection method for aviation communication cables according to any one of claims 1 to 3, characterized in that: The performing of quality inspection on the overlap rate verification result and the comparison inspection result according to the preset quality inspection strategy and the cable parameter information to obtain a qualified quality inspection result includes: Acquire threshold setting information corresponding to the cable parameter information according to the threshold configuration table in the quality detection strategy; determining 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 rates are not greater than the attenuation rate threshold, evaluating and calculating the coincidence rate check result and the comparison detection result according to the quality evaluation function in the quality detection strategy to obtain a corresponding communication quality coefficient; It is determined whether the communication quality coefficient is greater than the quality coefficient threshold in the threshold setting information to obtain a qualified quality detection result.

7. The intelligent detection method for aviation communication cables according to claim 6, characterized in that: The evaluating and calculating the coincidence rate check result and the comparison detection result according to the quality evaluation function in the quality detection strategy to obtain a corresponding communication quality coefficient includes: Obtaining intra-group difference information corresponding to the signal strength attenuation rate, the transmission frequency drift coefficient, and the waveform stability coefficient in the comparative detection results; The overlap rate check result, the comparison detection result and the intra-group difference information are evaluated and calculated by the quality evaluation function to obtain a corresponding communication quality coefficient.

8. An intelligent detection device for aviation communication cables, characterized in that: The device is configured in a detection terminal, and the detection terminal is respectively connected to the environmental simulation equipment and two communication sockets. Each of the communication sockets is respectively connected to at least two strands of an aviation communication cable at one end. The aviation communication cable is composed of at least two even-numbered strands twisted together. The aviation communication cable is placed in the environmental simulation equipment. The intelligent detection device for the aviation communication cable is used to perform the intelligent detection method for the aviation communication cable according to any one of claims 1 to 7. The device includes: A signal acquisition unit, configured to generate a corresponding transmission signal according to a pre-stored detection script and output the signal to one of the communication sockets, and to obtain a return signal corresponding to the transmission signal by another communication socket; A return signal analysis unit, configured to analyze the return signal to obtain corresponding analysis information; A verification unit, configured to verify the parsed information and the detection script according to a preset coincidence rate verification rule and preset cable parameter information to obtain a corresponding coincidence rate verification result; A comparison detection unit, configured to perform a comparison detection on the transmitted signal and the returned signal according to a preset comparison detection model to obtain a corresponding comparison detection result; The quality inspection result acquisition unit is used to perform quality inspection on the overlap rate verification result and the comparison inspection result according to the preset quality inspection strategy and the cable parameter information to obtain a quality inspection result indicating whether the quality inspection result is qualified.

9. A computer device, characterized in that: The device includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory for storing computer programs; The processor is configured to implement the intelligent detection method for aviation communication cables according to any one of claims 1 to 7 when executing a program stored in the memory.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the intelligent detection method for aviation communication cables according to any one of claims 1 to 7 is implemented.

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