A portable cable harness measurement control system

Abstract

The present application relates to the technical field of communication cable testing, and particularly relates to a portable cable harness measurement control system, comprising: a measurement analysis module configured to determine a cable state according to cable information degree and multi-element complexity, and determine a measurement mode according to the cable state to obtain a test paragraph; a parameter selection module configured to determine a parameter selection mode corresponding to each test paragraph according to a paragraph characteristic matching coefficient, and the parameter selection mode is determined according to a selection frequency discrete coefficient or a reference parameter set update; an optimization adjustment module configured to determine an optimization mode according to a fault positioning difficulty value and a measurement fluctuation threshold; and a test module configured to test a target cable harness, and send feedback signal information corresponding to each test paragraph to a mobile terminal under a measurement completion condition; the present application can improve the measurement accuracy of the cable harness.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication cable testing, and particularly relates to a portable cable harness measurement control system. BACKGROUND

[0002] With the continuous development of modern industry, cable harnesses are increasingly widely used in complex equipment and systems, and their types and lengths are increasingly diverse and large. However, the traditional cable fault detection method has many problems such as difficulty in locating fault points, slow test speed, poor anti-interference ability, and the like when facing this trend. These problems not only increase maintenance costs and equipment downtime, but also may lead to more serious safety accidents due to untimely troubleshooting. Therefore, how to control the measurement process of the cable harness to improve the detection accuracy is a technical problem to be solved by those skilled in the art.

[0003] Chinese Patent Publication No. CN114415067A discloses a high-speed communication cable testing system and testing method, which comprises a vector network analyzer, a multi-port switch matrix, a clamp, and a detection subsystem. The clamp is used to clamp and connect the cable to be tested. The multi-port switch matrix is connected with the clamp and the vector network analyzer. The vector network analyzer is in communication connection with the detection subsystem. The detection subsystem is arranged in an industrial control computer and comprises a configuration management module, an execution module, an auxiliary module, and a data management module. The testing system can quickly and conveniently perform automatic cable testing, complete automatic switching of paths between channels, avoid interface wear, and thus reduce testing errors and shorten the testing period. The testing unit automatically processes data to complete testing of single-end, differential, frequency, time-domain, and other related indicators of the cable to be tested, and can quickly and accurately test and save the results of each indicator of the produced cable. It can be seen that the above technical solution has the following problems: the measurement method and parameters cannot be dynamically adjusted according to cable state, interference conditions, and other factors, it is difficult to flexibly respond to complex and changing test environments, and the measurement accuracy is poor. SUMMARY

[0004] Therefore, the present application provides a portable cable harness measurement control system to overcome the problem that the prior art cannot dynamically adjust the measurement method and parameters according to cable state, interference conditions, and other factors, it is difficult to flexibly respond to complex and changing test environments, and the measurement accuracy is poor.

[0005] To achieve the above-mentioned purpose, the present application provides a portable cable harness measurement control system, which comprises:

[0006] The measurement analysis module is configured to determine the cable state according to the cable information degree and the multi-element complexity under the preset preparation condition, and determine the measurement mode according to the cable state to obtain the test paragraph, the measurement mode being direct measurement or a segmented test mode determined according to the cable characteristic coefficient, the segmented test mode being segmentation according to the state characteristic value or measurement instability degree;

[0007] The parameter selection module is connected with the measurement analysis module and configured to determine the parameter selection mode corresponding to each test paragraph according to the paragraph characteristic matching coefficient, the parameter selection mode being selection mode determined according to the selection frequency discrete coefficient or reference parameter set updating, the selection mode being parameter set selection according to the quantity characteristic value or stability coefficient;

[0008] The optimization adjustment module is connected with the parameter selection module and configured to determine the optimization mode according to the fault positioning difficulty value and the measurement fluctuation threshold, the optimization mode being processing mode determined according to the signal complexity or adjustment on the pulse rise time according to the pulse deviation value, the processing mode being adjustment on the probe moving speed or the filter order;

[0009] The test module is connected with the measurement analysis module, the parameter selection module and the optimization adjustment module respectively, and configured to test the target cable harness, and send the feedback signal information corresponding to each test paragraph to the mobile terminal under the measurement completion condition.

[0010] Further, the cable state responded by the measurement analysis module is that the cable information degree is equal to the preset cable information degree or the multi-element complexity is greater than or equal to the preset multi-element complexity, and then it is determined that the measurement mode is the segmented test mode determined according to the cable characteristic coefficient;

[0011] If the cable characteristic coefficient is greater than or equal to the preset cable characteristic coefficient, the segmented test mode is segmentation according to the state characteristic value;

[0012] If the cable characteristic coefficient is less than the preset cable characteristic coefficient, the segmented test mode is segmentation according to the measurement instability degree.

[0013] Further, the cable state responded by the measurement analysis module is that the cable information degree is greater than the preset cable information degree and the multi-element complexity is less than the preset multi-element complexity, and then it is determined that the measurement mode is direct measurement.

[0014] Further, the parameter selection module determines that the parameter selection mode is the selection mode determined according to the selection frequency discrete coefficient when the paragraph characteristic matching coefficient is greater than or equal to the preset paragraph characteristic matching coefficient.

[0015] If the selection frequency discrete coefficient is greater than or equal to the preset selection frequency discrete coefficient, the selection mode is parameter set selection according to the quantity characteristic value;

[0016] If the selection frequency dispersion coefficient is less than the preset selection frequency dispersion coefficient, the selection mode is to select the parameter set according to the stability coefficient.

[0017] Further, the parameter selection module determines that the parameter selection mode is the reference parameter set updating when the paragraph feature matching coefficient is less than the preset paragraph feature matching coefficient.

[0018] In the reference parameter set updating, the reference parameter set is determined according to the emerging reference value, and the updating mode is determined according to the parameter value category.

[0019] For a type of parameter value, the updating mode is to replace according to the effective emerging coefficient.

[0020] For a type of parameter value, the updating mode is to replace according to the effective emerging coefficient.

[0021] Further, the parameter selection module determines the compensation mode according to the associated coupling degree, including:

[0022] If the associated coupling degree is greater than or equal to the preset associated coupling degree, the compensation mode is to compensate according to the deviation evaluation value.

[0023] If the associated coupling degree is less than the preset associated coupling degree, the compensation mode is to compensate according to the comparison deviation value.

[0024] Further, the parameter selection module determines the parameter value category according to the parameter value validity and the maximum emerging threshold, and the parameter value category includes:

[0025] A type of parameter value with a parameter value validity greater than or equal to a preset parameter validity and a maximum emerging threshold greater than or equal to a preset maximum emerging coefficient.

[0026] A type of parameter value with a parameter value validity less than a preset parameter validity or a maximum emerging threshold less than a preset maximum emerging coefficient.

[0027] Further, the optimization adjustment module determines the optimization mode according to the fault location difficulty value and the measurement fluctuation threshold, including:

[0028] If the fault location difficulty value is greater than or equal to a preset fault location difficulty value and the measurement fluctuation threshold is less than a preset measurement fluctuation threshold, the optimization mode is to determine the processing mode according to the signal complexity.

[0029] If the fault location difficulty value is greater than or equal to a preset fault location difficulty value and the measurement fluctuation threshold is greater than or equal to a preset measurement fluctuation threshold, the optimization mode is to adjust the pulse rise time according to the pulse deviation value.

[0030] Further, the optimization adjustment module determines the processing mode according to the signal complexity, including:

[0031] If the signal complexity is greater than or equal to the preset signal complexity, the processing manner is to reduce the probe moving speed;

[0032] If the signal complexity is less than the preset signal complexity, the processing manner is to increase the filter order.

[0033] Further, the optimization adjustment module reduces the pulse rise time according to the pulse deviation value;

[0034] The reduction value of the pulse rise time is in a positive correlation with the pulse deviation value.

[0035] Compared with the prior art, the beneficial effects of the present application are that, in the technical scheme of the present application, the cable state is determined according to the cable information degree and the multi-element complexity, the overall state and complexity of the cable harness are effectively reflected through the cable information degree and the multi-element complexity, and then different measurement modes are adaptively selected according to the cable state, so that the selection of the measurement mode is more in line with the actual application scenario, the characteristic parameters of the measured cable can be quickly obtained through direct measurement, the test period is shortened, the measurement error accumulation caused by the excessively long cable length is reduced through the determination of the segmented test mode according to the cable characteristic coefficient, the accuracy of the test result is improved, each paragraph is effectively detected, so that the fault range is narrowed and the fault troubleshooting efficiency is improved, and the physical and electrical characteristics of the cable can be fully considered, and the detection accuracy is further improved.

[0036] Further, in the present application, the paragraph characteristic matching coefficient effectively reflects the matching degree of the test paragraph and each parameter set, and then different parameter selection modes are adaptively selected according to the paragraph characteristic matching coefficient, so that the determined parameter selection mode can accurately match the test demand, the setting parameters can be dynamically adjusted according to the actual situation, the real-time and effectiveness of the parameters are ensured, the setting parameters are always adapted to the actual situation of the cable, and then the test accuracy is improved.

[0037] Further, in the present application, when the reference parameter set is updated, the reliability of the setting parameters is effectively reflected through the parameter value category, and then different updating modes are adaptively selected according to the parameter value category, a type of parameter value is replaced according to the effective emergence coefficient, the parameter selection is more optimal, the performance and result reliability of the measurement system are improved, and a second type of parameter value is compensated according to the correlation coupling degree, the parameters can be flexibly adjusted, the parameter updating is more targeted, which is helpful for continuously improving and optimizing the measurement system and improving the measurement accuracy.

[0038] Further, in the present application, the correlation coupling degree effectively reflects the correlation degree of the setting parameters, and then different compensation modes are adaptively selected according to the correlation coupling degree, when the correlation coupling degree is high, the deviation evaluation value is compensated, which can comprehensively reflect the deviation of the target parameters from the ideal state, make the compensation more accurate, effectively reduce the measurement error, when the correlation coupling degree is low, the comparison deviation value is compensated, which can intuitively reflect the deviation of the target parameters under different conditions, make the compensation more targeted, and improve the measurement accuracy.

[0039] Further, in the present application, the fault positioning difficulty value and the measurement fluctuation threshold value are used to determine the optimization demand, which can flexibly cope with complex measurement environment, improve the accuracy and efficiency of measurement, and through the refinement adjustment according to the signal complexity and the pulse deviation value, the measurement parameters can better adapt to the actual condition of the cable, further improve the measurement accuracy, and reduce the error and misjudgment. BRIEF DESCRIPTION OF DRAWINGS

[0040] Fig. 1 It is a module connection diagram of the portable cable harness measurement control system of the present application;

[0041] Fig. 2 It is a flowchart of determining the measurement mode according to the cable state of the present application;

[0042] Fig. 3 It is a flowchart of determining the parameter selection mode corresponding to each test paragraph according to the paragraph characteristic matching coefficient of the present application;

[0043] Fig. 4 It is a flowchart of determining the compensation mode according to the correlation coupling degree of the present application. DETAILED DESCRIPTION

[0044] In order to make the purpose and advantages of the present application more clear and explicit, the present application will be further described below in combination with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0045] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0046] It should be noted that in the description of the present application, the terms "upper", "lower", "left", "right", "inner", "outer" and the like indicate the direction or positional relationship of the terms based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, therefore it cannot be understood as a limitation of the present application.

[0047] Moreover, it needs to be explained that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, or the internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0048] Please refer to Figs. 1 to 4 As shown in the figure, the present application provides a portable cable harness measurement control system, comprising:

[0049] The measurement analysis module is used to determine the cable state according to the cable information degree and the multi-element complexity under the preset preparation condition, and to determine the measurement method according to the cable state to obtain the test paragraph, the measurement method being direct measurement or segmented test method determined according to the cable characteristic coefficient, the segmented test method being segmentation according to the state representation value or measurement instability degree;

[0050] The parameter selection module is connected with the measurement analysis module, and is used to determine the parameter selection method corresponding to each test paragraph according to the paragraph characteristic matching coefficient, the parameter selection method being selection method determined according to the selection frequency discrete coefficient or reference parameter set update, the selection method being parameter set selection according to the quantity representation value or stability coefficient;

[0051] The optimization adjustment module is connected with the parameter selection module, and is used to determine the optimization method according to the fault positioning difficulty value and the measurement fluctuation threshold, the optimization method being processing method determined according to the signal complexity or adjustment for the pulse rise time according to the pulse deviation value, the processing method being adjustment for the probe moving speed or the filter order;

[0052] The test module is connected with the measurement analysis module, the parameter selection module and the optimization adjustment module respectively, and is used to test the target cable harness, and to send the feedback signal information corresponding to each test paragraph to the mobile terminal under the measurement completion condition.

[0053] The application scenario of the application is cable harness measurement, and the application corresponds to a plurality of historical records, any one of which records at least the cable length, laying age, repair frequency, frequency range reference value and multi-element complexity in the historical process of cable harness measurement, and each historical record corresponds to a qualified mark, which records whether the process of cable harness measurement meets the user's demand, and the qualified mark can be recorded manually. It can be understood that the user can determine whether the process of cable harness measurement meets the demand according to the self-set index, and the self-set index can be but is not limited to measurement accuracy, which will not be described here. Among them, the measurement accuracy = the number of cable harnesses with accurate measurement results / the total amount of cable harnesses measured;

[0054] The cable harness being measured is referred to as the target cable harness;

[0055] The preset preparation condition is that the user inputs cable basic information and obtains frequency information, the cable basic information includes but is not limited to cable type, cable length, cable cross-sectional area, cable core number, repair frequency, repair position and service life, the cable type includes but is not limited to twisted pair, coaxial cable and optical fiber cable, and the frequency information is each frequency and the amplitude corresponding to each frequency obtained by measuring the target cable harness by a spectrum analyzer, which is easily understood by those skilled in the art, and will not be described in detail.

[0056] When testing the target cable harness, test signals are sent to each test paragraph for testing according to the parameter values determined by the parameter selection module or the optimized parameter values optimized by the optimization adjustment module, which is easily understood by those skilled in the art, and will not be described in detail.

[0057] The measurement completion condition is that when the fault location difficulty value is greater than or equal to the preset fault location difficulty value, the feedback signal information corresponding to each test paragraph obtained by re-measuring through the adjusted parameters, or when the fault location difficulty value is less than the preset fault location difficulty value, the feedback signal information corresponding to each test paragraph obtained by measuring through each set parameter;

[0058] The mobile terminal is an electronic device for the user to view the test results;

[0059] The target coefficient and the related threshold value are provided in the application, the corresponding relationship between the target coefficient and the related threshold value is represented by a weight formula, and the weight formula is: target coefficient=weight coefficient x related threshold value. Specifically, the value of d, the length of the test paragraph, the increase value of the target parameter value, the decrease value of the target parameter value, the value of w, the increase value of the filter order and the decrease value of the pulse rise time are recorded as the target coefficient, and the state representation value, the measurement instability degree, the absolute value of the comparison deviation value, the absolute value of the deviation evaluation value, the maximum reflection time, the decrease value of the probe moving speed, the signal complexity, the measurement fluctuation threshold value and the pulse deviation value are recorded as the related threshold value. It can be understood that the target coefficient has a corresponding related threshold value, for example, the value of d and the state representation value have a positive correlation, and the positive correlation between the value of d and the state representation value is represented by the weight formula. The value of the weight coefficient can be determined by the user's historical experience according to the influence degree of the state representation value on the value of d, and the value of the weight coefficient can be optimized according to the historical record of the cable harness measurement process combined with the multilayer perception machine. It is easy for those skilled in the art to understand that the value of the weight coefficient is optimized by the multilayer perception machine, and details are not described herein. The value principles of the weight coefficients corresponding to other target coefficients and related threshold values are the same, and details are not described herein.

[0060] Specifically, the cable state responded by the measurement analysis module is that the cable information degree is equal to the preset cable information degree or the multi-element complexity is greater than or equal to the preset multi-element complexity, and then it is determined that the measurement mode is to determine the segmented test mode according to the cable characteristic coefficient;

[0061] If the cable characteristic coefficient is greater than or equal to the preset cable characteristic coefficient, the segmented test mode is to segment according to the state representation value;

[0062] If the cable characteristic coefficient is less than the preset cable characteristic coefficient, the segmented test mode is to segment according to the measurement instability degree.

[0063] The cable information degree=the number of characteristic information input by the user / the total amount of cable basic information, and the characteristic information includes the cable length, the laying type and the maintenance times;

[0064] The multi-element complexity=the linear complexity+the frequency complexity, the linear complexity=the cable length / the preset cable length+the laying age / the preset laying age+the maintenance times / the preset maintenance times, and the frequency complexity=frequency range reference value / preset frequency range reference value. It should be noted that for a single characteristic information, if the user does not input the characteristic information, the value corresponding to the characteristic information is 0;

[0065] The cable length is the length of the target cable harness, the laying age is the length of time from when the target cable harness was laid and put into use to the current time, and the repair times is the number of times the target cable harness has been repaired from when the cable was laid and put into use to the current time;

[0066] The frequency range reference value = the maximum frequency of the target cable harness measured by the spectrum analyzer - the minimum frequency of the target cable harness measured by the spectrum analyzer;

[0067] The preset cable length, the preset laying age, the preset repair times, and the preset frequency range reference value can be determined by the user according to the actual application scenario. The greater the user's demand for improving the cable detection accuracy, the smaller the preset cable length, the preset laying age, the preset repair times, and the preset frequency range reference value. A value mode of the preset cable length, the preset laying age, the preset repair times, and the preset frequency range reference value is provided. The average value of the cable length, the average value of the laying age, the average value of the repair times, and the average value of the frequency range reference value of the historical record that meets the user's demand are extracted and recorded as the preset cable length, the preset laying age, the preset repair times, and the preset frequency range reference value, respectively.

[0068] The preset cable information degree and the preset multi-element complexity can be determined by the user according to the actual application scenario. The greater the user's demand for improving the cable harness measurement accuracy, the smaller the preset cable information degree and the preset multi-element complexity. A value mode of the preset cable information degree and the preset multi-element complexity is provided. The preset cable information degree is 0. The historical record of direct measurement is detected. The average value of the multi-element complexity corresponding to the historical record that meets the user's demand is recorded as the preset multi-element complexity.

[0069] The confirmation mode of the cable characteristic coefficient includes:

[0070] If the cable length and the repair position are both known, the cable characteristic coefficient = cable length / preset cable length + distribution reference value / average value of the distribution reference value corresponding to the historical record that meets the user's demand.

[0071] If any one of the cable length and the repair position is unknown, the cable characteristic coefficient is 0.

[0072] The confirmation mode of the distribution reference value is that any one end of the target cable harness is recorded as a reference end, the repair position closest to the reference end is recorded as a first position, and the repair position farthest from the reference end is recorded as a second position. The distribution reference value = the length of the target cable harness between the first position and the second position / the number of different repair positions.

[0073] The preset cable characteristic coefficient value can be determined by the user according to the actual application scene. The greater the user's demand for improving the test accuracy is, the smaller the preset cable characteristic coefficient value is. A preset cable characteristic coefficient value is provided. The average value of the cable characteristic coefficients corresponding to the historical records that can meet the user's demand is recorded as the preset cable characteristic coefficient when the user segments the historical records according to the measurement instability degree.

[0074] When segmenting according to the state characteristic value, the target cable harness is equally divided into d parts, each division point and the two end points of the target cable harness are recorded as reference points, and a single test paragraph is the cable harness between any two adjacent reference points. The value of d is positively correlated with the state characteristic value.

[0075] State characteristic value = cable characteristic coefficient / preset cable characteristic coefficient + multivariate complexity / preset multivariate complexity.

[0076] When segmenting according to the measurement instability degree, each test paragraph has the same length, and the length of a single test paragraph is negatively correlated with the measurement instability degree. The length of a test paragraph is the length of the target cable harness included in a single test paragraph. It should be noted that there is no overlapping part in each test paragraph.

[0077] Detect the historical records with the same state characteristic value as the target cable harness and record them as reference historical records. Record the reference historical records that can meet the user's demand as the first records, and record the historical records that cannot meet the user's demand as the second records. Record the average value of the test paragraph lengths corresponding to each first record as a1, and record the average value of the test paragraph lengths corresponding to each second record as a2. The measurement instability degree = |a1-a2| / (the larger value of a1 and a2).

[0078] It should be noted that if there is only the first record, the measurement instability degree is 0. If there is no first record or no reference historical record, the measurement instability degree is 1.

[0079] It should be noted that when measuring each test paragraph, the measurement is performed in the order from the starting end to the reference end of each test paragraph. When measuring a single test paragraph, the probe interface is connected to the starting end of the test paragraph of the target cable harness, and then the detection of the current test paragraph is started. When the probe moves to the termination end of the current test paragraph, the detection of the current test paragraph is completed. The starting end of a single test paragraph is the end closer to the reference end, and the termination end is the end farther from the reference end.

[0080] Specifically, the measurement analysis module responds to the cable state that the cable information degree is greater than the preset cable information degree and the multivariate complexity is less than the preset multivariate complexity, and determines that the measurement method is direct measurement.

[0081] In the direct measurement, the target cable harness is taken as a test section, and the probe interface is connected to one end of the target cable harness for measurement.

[0082] Specifically, the parameter selection module determines that the parameter selection mode is determined according to the selection frequency discrete coefficient when the section feature matching coefficient is greater than or equal to the preset section feature matching coefficient.

[0083] If the selection frequency discrete coefficient is greater than or equal to the preset selection frequency discrete coefficient, the selection mode is to select the parameter set according to the quantity representation value.

[0084] If the selection frequency discrete coefficient is less than the preset selection frequency discrete coefficient, the selection mode is to select the parameter set according to the stability coefficient.

[0085] In the present application, a plurality of parameter sets are provided, and each parameter set contains parameter values corresponding to each setting parameter, including but not limited to pulse amplitude, pulse width, pulse rise time, probe moving speed and filter order of the test signal; the pulse amplitude is the intensity of the test signal, with V as the unit, the pulse width is the duration of the test signal, with s as the unit; the pulse rise time is the time experienced by the test signal from 10% to 90% of the pulse amplitude, with s as the unit, the probe moving speed is the speed of the probe moving in a single test section, and the filter order is the number of release elements of the filter opened, including inductance and capacitance, which is easily understood by those skilled in the art, and will not be described in detail;

[0086] For a single test section, the test section is recorded as a target test section, the confirmation method of the section feature matching coefficient is that the test section in the historical record with a matching degree greater than a preset matching degree is recorded as a pre-matching test section, and the section feature matching coefficient = the number of pre-matching test sections in the historical record that can meet the user's demand / the number of pre-matching test sections in the historical record that cannot meet the user's demand;

[0087] The matching degree corresponding to any two test sections = specification matching degree / average value of the specification matching degrees of each test section in the historical record that can meet the user's demand + section matching degree / average value of the section matching degrees of each test section in the historical record that can meet the user's demand;

[0088] The specification matching degree is the number of the same cable basic information corresponding to the target cable harness of the two test sections; the section matching degree = 1 / (absolute value of the difference between the section reference values of the two test sections + 1);

[0089] The paragraph reference value corresponding to a single test paragraph = interval reference value / average value of interval reference values corresponding to each test paragraph in the history record capable of meeting the user's demand + test paragraph length / average value of test paragraph lengths corresponding to each test paragraph in the history record capable of meeting the user's demand;

[0090] The interval reference value is the number of test paragraphs between the starting end of a single test paragraph and the reference end;

[0091] The preset matching degree value can be determined by the user according to the actual application scenario. The greater the user's demand for improving the measurement accuracy, the greater the preset matching degree value. A method for determining the preset matching degree value is provided. The average value of reference matching degrees corresponding to each test paragraph in the history record capable of meeting the user's demand is denoted as the preset matching degree. The reference matching degree corresponding to a single test paragraph is the matching degree corresponding to the test paragraph and any pre-matching test paragraph.

[0092] The preset paragraph feature matching coefficient value can be determined by the user according to the actual application scenario. The greater the preset paragraph feature matching coefficient value, the greater the user's demand for determining the update mode according to the parameter set coincidence coefficient. A method for determining the preset paragraph feature matching coefficient value is provided. The history record in which the user determines the selection mode according to the selection frequency dispersion coefficient is detected. The average value of paragraph feature matching coefficients corresponding to the history record capable of meeting the user's demand is denoted as the preset paragraph feature matching coefficient.

[0093] The confirmation method of the selection frequency dispersion coefficient is that each pre-matching test paragraph corresponding to the target test paragraph in the history record capable of meeting the user's demand is denoted as a matching paragraph. The parameter set selected by the matching paragraph is denoted as a selected parameter set. The selection frequency dispersion coefficient is the standard deviation of the number representation values corresponding to each selected parameter set.

[0094] The number representation value corresponding to a single selected parameter set = number of matching paragraphs selecting the selected parameter set / total number of matching paragraphs;

[0095] The preset selection frequency dispersion coefficient value can be determined by the user according to the actual application scenario. The smaller the preset selection frequency dispersion coefficient value, the greater the user's demand for selecting the parameter set according to the number representation value. A method for determining the preset selection frequency dispersion coefficient value is provided. The history record in which the user selects the parameter set according to the number representation value is detected. The average value of selection frequency dispersion coefficients corresponding to the history record capable of meeting the user's demand is denoted as the preset selection frequency dispersion coefficient.

[0096] The confirmation manner of the stability coefficient is that, for a single selected parameter set, the selected parameter set is recorded as a target selected parameter set, and other selected parameter sets except the target selected parameter set are recorded as reference selected parameter sets, and the stability coefficient corresponding to the target selected parameter set is an average value of the same parameter quantity values corresponding to the target selected parameter set and each reference selected parameter set; the same parameter quantity value corresponding to any two selected parameter sets is the number of setting parameters with the same parameter value in one selected parameter set and another selected parameter set;

[0097] When the parameter set is selected according to the quantity representation value, the selected parameter set with the maximum quantity representation value is selected, and the parameter values of each setting parameter are set to the parameter values of each setting parameter in the selected parameter set;

[0098] When the parameter set is selected according to the stability coefficient, the selected parameter set with the maximum stability coefficient is selected, and the parameter values of each setting parameter are set to the parameter values of each setting parameter in the selected parameter set.

[0099] Specifically, the parameter selection module determines that the parameter selection manner is the reference parameter set update when the paragraph feature matching coefficient is less than the preset paragraph feature matching coefficient;

[0100] In the reference parameter set update, the reference parameter set is determined according to the emergence reference value, and the update manner is determined according to the parameter value category;

[0101] For a type of parameter value, the update manner is replacement according to the effective emergence coefficient;

[0102] For a type of parameter value, the update manner is replacement according to the effective emergence coefficient;

[0103] In the determination of the reference parameter set according to the emergence reference value, the parameter set with the maximum emergence reference value is taken as the reference parameter set, and the emergence reference value corresponding to a single parameter set is the number of a type of parameter value in the parameter set;

[0104] For the parameter value corresponding to a single setting parameter in the reference parameter set, the parameter value is recorded as a target parameter value, and the setting parameter corresponding to the target parameter value is recorded as a target setting parameter;

[0105] If the target parameter value is a type of parameter value, the update manner is replacement according to the effective emergence coefficient, wherein the target parameter value is replaced by a to-be-selected parameter value with the maximum effective emergence coefficient, and the to-be-selected parameter value is a parameter value that is a type of parameter value among the parameter values corresponding to the target setting parameter in each parameter set;

[0106] Each pre-matched test segment in the history that meets the user's needs is recorded as a matched segment, and each pre-matched test segment in the history that does not meet the user's needs is recorded as a non-matched segment. The effective emergence coefficient corresponding to a single candidate parameter value is the number of matched segments with that candidate parameter value.

[0107] Specifically, the parameter selection module determines the compensation method based on the degree of correlation coupling, including:

[0108] If the correlation coupling degree is greater than or equal to the preset correlation coupling degree, the compensation method is to compensate based on the deviation evaluation value;

[0109] If the correlation coupling degree is less than the preset correlation coupling degree, the compensation method is to compensate based on the comparison deviation value.

[0110] The correlation coupling degree is the average value of the correlation coefficients between the target setting parameter and each reference setting parameter. Other setting parameters in the benchmark parameter set besides the target setting parameter are denoted as reference setting parameters.

[0111] The formula for calculating the correlation coefficient r between any two set parameters is:

[0112] ;

[0113] m is the number of elements in the first parameter set. and These are the parameter values ​​corresponding to the kth parameter set in the first parameter set, respectively. for The corresponding setting parameter is the average value of the parameter value corresponding to the kth first parameter set. for The corresponding setting parameter is the average value of the parameter value corresponding to the kth first parameter set, k = 1, 2, 3, ..., m; the parameter set selected for each matching paragraph is denoted as the first parameter set, and each first parameter set and the benchmark parameter set are denoted as the second parameter set.

[0114] The user can determine the preset correlation coupling degree value according to the actual application scenario. The smaller the preset correlation coupling degree value, the greater the user's need for compensation based on the correlation coefficient. A preset correlation coupling degree value is provided, and the historical records of user compensation based on the comparison deviation value are detected. The average value of the correlation coupling degree corresponding to the historical records that can meet the user's needs is recorded as the preset correlation coupling degree.

[0115] When compensating based on the comparison deviation value

[0116] If the comparison deviation is greater than or equal to 0, the target parameter value will be increased based on the comparison deviation.

[0117] If the comparison deviation is less than 0, the target parameter value will be adjusted to decrease based on the comparison deviation.

[0118] Both the increase and decrease in the target parameter value are positively correlated with the absolute value of the comparison deviation.

[0119] Comparison deviation value = (Average value of the target setting parameter in each matched paragraph / Average value of the target setting parameter in each non-matched paragraph) - (Target parameter value / Average value of the target setting parameter in each non-matched paragraph);

[0120] When compensating based on deviation assessment values

[0121] If the deviation assessment value is greater than or equal to 0, the target parameter value will be increased based on the deviation assessment value.

[0122] If the deviation assessment value is less than 0, the target parameter value will be reduced based on the deviation assessment value.

[0123] Both the increase and decrease in the target parameter value are positively correlated with the absolute value of the deviation assessment value.

[0124] Deviation assessment value = (average value of the target setting parameter corresponding to each matching paragraph - target parameter value) × (average value of the correlation coefficient between the target setting parameter and each reference setting parameter / average value of the reference correlation coefficient between the target setting parameter and each reference setting parameter);

[0125] The formula for calculating the reference correlation coefficient r0 corresponding to any two set parameters is:

[0126] ;

[0127] m0 is the number of the second parameter set. and These are the parameter values ​​corresponding to the k0th second parameter set for the two setting parameters. for The corresponding setting parameter is the average value of the parameter values ​​corresponding to the k0th second parameter set. for The corresponding setting parameter is the average value of the parameter value corresponding to the k0th second parameter set, where k0 = 1, 2, 3, ..., m0;

[0128] It is important to note that after updating the values ​​of each parameter in the baseline parameter set, the updated parameter set is recorded as the updated parameter set, and the values ​​of each setting parameter are set to the corresponding values ​​of each setting parameter in the updated parameter set.

[0129] Specifically, the parameter selection module determines the parameter value category based on the validity of the parameter value and the maximum occurrence threshold. The parameter value categories include:

[0130] A class of parameter values ​​whose validity is greater than or equal to the preset parameter validity and whose maximum emergence threshold is greater than or equal to the preset maximum emergence coefficient;

[0131] The second type of parameter value is one whose validity is less than the preset parameter validity or whose maximum emergence threshold is less than the preset maximum emergence coefficient.

[0132] Wherein, parameter value validity = number of matching paragraphs containing the target parameter value / number of non-matching paragraphs containing the target parameter value; the maximum surfacing threshold is the number of matching paragraphs containing the target parameter value;

[0133] The values ​​of preset parameter validity and preset maximum surfacing coefficient can be determined by the user according to the actual application scenario. The greater the user's demand for improved measurement accuracy, the larger the values ​​of preset parameter validity and preset maximum surfacing coefficient should be. A method for determining the values ​​of preset parameter validity and preset maximum surfacing coefficient is provided by extracting the average value of the parameter validity and the average value of the maximum surfacing coefficient corresponding to each type of parameter value in the historical records that can meet the user's needs, and recording them as preset parameter validity and preset maximum surfacing coefficient respectively.

[0134] Specifically, the optimization and adjustment module determines the optimization method based on the fault location difficulty value and the measurement fluctuation threshold, including:

[0135] If the fault location difficulty value is greater than or equal to the preset fault location difficulty value and the measurement fluctuation threshold is less than the preset measurement fluctuation threshold, the optimization method is to determine the processing method based on the signal complexity.

[0136] If the fault location difficulty value is greater than or equal to the preset fault location difficulty value and the measurement fluctuation threshold is greater than or equal to the preset measurement fluctuation threshold, the optimization method is to adjust the pulse rise time according to the pulse deviation value.

[0137] Among them, the fault location difficulty value is the maximum value of the sub-difficulty coefficients corresponding to each test section in the target cable harness. The sub-difficulty coefficient = the vertical coordinate value of the peak closest to the origin in the feedback signal curve of a single test section - the vertical coordinate value of the peak farthest from the origin in the feedback signal curve of a single test section.

[0138] The feedback signal information is a feedback signal curve with reflection time as the x-axis and reflected signal intensity as the y-axis. The reflection time is the time it takes for the pulse signal to be emitted from a single test segment and reflected back, in seconds. The reflected signal intensity is the amplitude of the reflected signal, in volts (V).

[0139] The fluctuation threshold is the maximum value among the fluctuation reference values ​​corresponding to each test section in the target cable harness. The fluctuation reference value is the standard deviation of the ordinate value corresponding to each analysis point in the feedback signal curve of a single test section.

[0140] Divide the reflection time corresponding to the feedback signal curve of a single test segment into w equal parts. Record the abscissa points corresponding to each division point and the initial reflection time and the final reflection time of the feedback signal curve as analysis points. The value of w is positively correlated with the maximum reflection time corresponding to a single test segment. The maximum reflection time is the time interval between the initial reflection time and the final reflection time. The initial reflection time and the final reflection time corresponding to the feedback signal curve are the abscissa values ​​corresponding to the points closest to the origin and the points farthest from the origin in the abscissa of the feedback signal curve.

[0141] The user can determine the preset fault location difficulty value and preset measurement fluctuation threshold value according to the actual application scenario. The greater the user's demand for improved detection accuracy, the smaller the preset fault location difficulty value should be. One method for setting the preset fault location difficulty value is to record the average value of the fault location difficulty value corresponding to the historical records that meet the user's needs without optimization as the preset fault location difficulty value. The smaller the preset measurement fluctuation threshold value is, the greater the user's demand for adjusting the pulse rise time based on the pulse deviation value. One method for setting the preset measurement fluctuation threshold value is to detect the historical records that adjust the pulse rise time based on the pulse deviation value, and record the average value of the measurement fluctuation threshold corresponding to the historical records that meet the user's needs as the preset measurement fluctuation threshold.

[0142] It should be noted that if the fault location difficulty value is less than the preset fault location difficulty value, no optimization will be performed.

[0143] Specifically, the optimization and adjustment module determines the processing method based on the signal complexity, including:

[0144] If the signal complexity is greater than or equal to the preset signal complexity, the processing method is to reduce the probe movement speed.

[0145] If the signal complexity is less than the preset signal complexity, the processing method is to increase the filter order.

[0146] Wherein, signal complexity is the maximum value of the sub-signal complexity corresponding to each test segment in the target cable harness, and sub-signal complexity is the standard deviation of the ordinate value corresponding to each peak in the feedback signal curve corresponding to a single test segment.

[0147] The user can determine the value of the preset signal complexity according to the actual application scenario. The smaller the value of the preset signal complexity, the greater the user's need to reduce the probe movement speed. A method for determining the preset signal complexity is provided: detect the historical records of the user's adjustment of the probe movement speed, and record the average value of the signal complexity corresponding to the historical records that meet the user's needs as the preset signal complexity.

[0148] When the probe moving speed is reduced, the reduction in probe moving speed is positively correlated with signal complexity;

[0149] When the filter order is increased, the increase in the filter order is positively correlated with the measured fluctuation threshold.

[0150] The initial probe movement speed and the initial filter order are the same as the parameter values ​​corresponding to the pulse signal amplitude in the selected parameter set.

[0151] Specifically, the optimization adjustment module reduces the pulse rise time based on the pulse deviation value;

[0152] The decrease in pulse rise time is positively correlated with the pulse deviation value.

[0153] Wherein, the pulse deviation value is the maximum value among the sub-pulse deviation values ​​corresponding to each test segment in the target cable harness, and the sub-pulse deviation value corresponding to a single test segment = |average value of pulse reference values ​​corresponding to each peak in the feedback signal curve of the test segment -average value of pulse reference values ​​corresponding to each peak in the historical records that can meet user requirements|.

[0154] The pulse amplitude corresponding to a single test signal is the same as the parameter value corresponding to the pulse signal amplitude in the selected parameter set.

[0155] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0156] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A portable cable harness measurement and control system, characterized in that, include: The measurement and analysis module is used to determine the cable status based on the cable information content and multivariate complexity under preset preparation conditions, and to determine the measurement method to obtain the test section based on the cable status. The measurement method is either direct measurement or segmentation based on the cable characteristic coefficient. The test method is segmentation based on the status characterization value or the measurement instability. The parameter selection module, which is connected to the measurement and analysis module, is used to determine the parameter selection method corresponding to each test segment based on the segment feature matching coefficient. The parameter selection method is to determine the selection method or update the benchmark parameter set based on the selection frequency dispersion coefficient. The selection method is to select the parameter set based on the quantitative characterization value or the stability coefficient. An optimization and adjustment module, which is connected to the parameter selection module, is used to determine the optimization method based on the fault location difficulty value and the measurement fluctuation threshold. This method can be based on the signal complexity or on the pulse rise time based on the pulse deviation value. The processing method can be based on the probe movement speed or the filter order. The test module is connected to the measurement and analysis module, the parameter selection module and the optimization and adjustment module respectively, and is used to test the target cable harness and send the feedback signal information corresponding to each test segment to the mobile terminal when the measurement is completed. Cable information level = number of user-input feature information / total amount of basic cable information. Feature information includes cable length, laying type and maintenance frequency. Multivariate complexity = linear complexity + frequency complexity; linear complexity = cable length / preset cable length + laying years / preset laying years + number of repairs / preset number of repairs; frequency complexity = frequency range reference value / preset frequency range reference value. Methods for confirming cable characteristic coefficients include: If the cable length and repair location are known, the cable characteristic coefficient = cable length / preset cable length + distribution reference value / average distribution reference value corresponding to the historical records that can meet the user's needs; If either the cable length or the repair location is unknown, then the cable characteristic coefficient is 0. The method for confirming the distribution reference value is as follows: any end of the target cable bundle is designated as the reference end, the maintenance position closest to the reference end is designated as the first position, and the maintenance position farthest from the reference end is designated as the second position. The distribution reference value = the length of the target cable bundle between the first position and the second position / the number of different maintenance positions. State characterization value = cable characteristic coefficient / preset cable characteristic coefficient + multivariate complexity / preset multivariate complexity; The measured instability is calculated as |a1 - a2| / (the larger of a1 and a2), where a1 is the average length of the test segment corresponding to each first record, and a2 is the average length of the test segment corresponding to each second record. Detect historical records that have the same status characterization value as the target cable harness and record them as reference historical records. Record the reference historical records that can meet the user's needs as the first record and record the historical records that cannot meet the user's needs as the second record. Paragraph feature matching coefficient = number of pre-matched test paragraphs in the history that can meet the user's needs / number of pre-matched test paragraphs in the history that cannot meet the user's needs; Test segments in the historical records whose matching degree with the target test segment is greater than the preset matching degree are recorded as pre-matched test segments; the matching degree between any two test segments = specification matching degree / average specification matching degree of each test segment in the historical records that can meet user needs + segment matching degree / average segment matching degree of each test segment in the historical records that can meet user needs; specification matching degree is the number of identical cable basic information corresponding to the target cable harnesses corresponding to the two test segments; segment matching degree = 1 / (absolute value of the difference between the segment reference values ​​corresponding to the two test segments + 1); the segment reference value corresponding to a single test segment = interval reference value / average interval reference value of each test segment in the historical records that can meet user needs + test segment length / average test segment length of each test segment in the historical records that can meet user needs; the interval reference value is the number of test segments between the start end and the reference end of a single test segment. Each pre-matched test segment corresponding to the target test segment in the historical record that can meet the user's needs is recorded as a matched segment. The parameter set selected by the matched segment is recorded as the selected parameter set. The selection frequency dispersion coefficient is the standard deviation of the quantitative representation value corresponding to each selected parameter set. The quantitative representation value corresponding to a single selected parameter set = the number of matched segments that selected the selected parameter set / the total number of matched segments. The stability coefficient is determined as follows: for a single set of selected parameters, this set of selected parameters is denoted as the target set of selected parameters, and other sets of selected parameters outside the target set of selected parameters are denoted as reference sets of selected parameters. The stability coefficient corresponding to the target set of selected parameters is the average value of the number of identical parameters corresponding to the target set of selected parameters and each reference set of selected parameters. The number of identical parameters corresponding to any two sets of selected parameters is the number of set parameters with the same parameter value in one set of selected parameters and the other set of selected parameters. The fault location difficulty value is the maximum value among the sub-difficulty coefficients corresponding to each test section in the target cable harness. The sub-difficulty coefficient = the vertical coordinate value of the peak closest to the origin in the feedback signal curve of a single test section - the vertical coordinate value of the peak farthest from the origin in the feedback signal curve of a single test section. The fluctuation threshold is the maximum value among the fluctuation reference values ​​corresponding to each test section in the target cable harness. The fluctuation reference value is the standard deviation of the ordinate value corresponding to each analysis point in the feedback signal curve of a single test section. The signal complexity is the maximum value of the sub-signal complexity corresponding to each test segment in the target cable harness, and the sub-signal complexity is the standard deviation of the ordinate value corresponding to each peak in the feedback signal curve corresponding to a single test segment. The pulse deviation value is the maximum value among the sub-pulse deviation values ​​corresponding to each test segment in the target cable harness. The sub-pulse deviation value corresponding to a single test segment = |average value of pulse reference values ​​corresponding to each peak in the feedback signal curve of the test segment -average value of pulse reference values ​​corresponding to each peak in the historical records that can meet user requirements|.

2. The portable cable harness measurement and control system according to claim 1, characterized in that, If the cable status responded by the measurement and analysis module is that the cable information degree is equal to the preset cable information degree or the multivariate complexity is greater than or equal to the preset multivariate complexity, then the measurement method is determined to be the segmented test method based on the cable characteristic coefficient. If the cable characteristic coefficient is greater than or equal to the preset cable characteristic coefficient, the segmentation test method is to segment according to the state characterization value; If the cable characteristic coefficient is less than the preset cable characteristic coefficient, the segmented test method is to segment the cable based on the measured instability.

3. The portable cable harness measurement and control system according to claim 2, characterized in that, If the cable status responded by the measurement and analysis module is such that the cable information degree is greater than the preset cable information degree and the multivariate complexity is less than the preset multivariate complexity, then the measurement method is determined to be direct measurement.

4. The portable cable harness measurement and control system according to claim 3, characterized in that, When the paragraph feature matching coefficient is greater than or equal to the preset paragraph feature matching coefficient, the parameter selection module determines the parameter selection method based on the selection frequency dispersion coefficient. If the selected frequency dispersion coefficient is greater than or equal to the preset selected frequency dispersion coefficient, the selection method is to select the parameter set based on the quantitative characterization value; If the selected frequency dispersion coefficient is less than the preset selected frequency dispersion coefficient, the selection method is to select the parameter set based on the stability coefficient.

5. The portable cable harness measurement and control system according to claim 4, characterized in that, When the paragraph feature matching coefficient is less than the preset paragraph feature matching coefficient, the parameter selection module determines that the parameter selection method is to update the baseline parameter set. In the baseline parameter set update, the baseline parameter set is determined based on the emerging reference values, and the update method is determined based on the parameter value category; For a certain type of parameter value, the update method is to replace it based on the effective emergence coefficient; For the two types of parameter values, the update method is to determine the compensation method based on the degree of correlation and coupling. The emerging reference value for a single parameter set is the number of one type of parameter values ​​in that parameter set. Parameter value categories include: A class of parameter values ​​whose validity is greater than or equal to the preset parameter validity and whose maximum emergence threshold is greater than or equal to the preset maximum emergence coefficient; Two types of parameter values: those with a validity value less than the preset parameter validity value or a maximum emergence threshold less than the preset maximum emergence coefficient. The effective emergence coefficient for a single candidate parameter value is the number of matching paragraphs with that candidate parameter value; the correlation coupling degree is the average of the correlation coefficients between the target setting parameter and each reference setting parameter. Parameter value validity = number of matching paragraphs containing the target parameter value / number of non-matching paragraphs containing the target parameter value; maximum surfacing threshold is the number of matching paragraphs containing the target parameter value. For a single setting parameter in the baseline parameter set, the parameter value is recorded as the target parameter value, and the setting parameter corresponding to the target parameter value is recorded as the target setting parameter.

6. The portable cable harness measurement and control system according to claim 5, characterized in that, The parameter selection module determines the compensation method based on the degree of correlation coupling, including: If the correlation coupling degree is greater than or equal to the preset correlation coupling degree, the compensation method is to compensate based on the deviation evaluation value; If the correlation coupling degree is less than the preset correlation coupling degree, the compensation method is to compensate based on the comparison deviation value; Deviation assessment value = (average value of the target setting parameter corresponding to each matching paragraph - target parameter value) × (average value of the correlation coefficient between the target setting parameter and each reference setting parameter / average value of the reference correlation coefficient between the target setting parameter and each reference setting parameter); The comparison deviation value = (average value of the parameter corresponding to the target setting parameter in each matched paragraph / average value of the parameter corresponding to the target setting parameter in each non-matched paragraph) - (target parameter value / average value of the parameter corresponding to the target setting parameter in each non-matched paragraph).

7. The portable cable harness measurement and control system according to claim 5, characterized in that, The optimization and adjustment module determines the optimization method based on the fault location difficulty value and the measurement fluctuation threshold, including: If the fault location difficulty value is greater than or equal to the preset fault location difficulty value and the measurement fluctuation threshold is less than the preset measurement fluctuation threshold, the optimization method is to determine the processing method based on the signal complexity. If the fault location difficulty value is greater than or equal to the preset fault location difficulty value and the measurement fluctuation threshold is greater than or equal to the preset measurement fluctuation threshold, the optimization method is to adjust the pulse rise time according to the pulse deviation value.

8. The portable cable harness measurement and control system according to claim 7, characterized in that, The optimization and adjustment module determines the processing method based on the signal complexity, including: If the signal complexity is greater than or equal to the preset signal complexity, the processing method is to reduce the probe movement speed. If the signal complexity is less than the preset signal complexity, the processing method is to increase the filter order.

9. The portable cable harness measurement and control system according to claim 8, characterized in that, The optimization adjustment module reduces the pulse rise time based on the pulse deviation value. The decrease in pulse rise time is positively correlated with the pulse deviation value.

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