Portable cable harness measurement control system

Abstract

The invention relates to the technical field of communication cable testing, in particular to a portable cable harness measurement control system which comprises a measurement analysis module used for determining a cable state according to a cable information degree and multivariate complexity and determining a measurement mode according to the cable state so as to obtain a test section; the parameter selection module is used for determining a parameter selection mode corresponding to each test paragraph according to the paragraph feature matching coefficient, and the parameter selection mode is a selection mode determined according to a selection frequency discrete coefficient or a reference parameter set is updated; the optimization adjustment module is used for determining an optimization mode according to the fault positioning difficulty value and the measurement fluctuation threshold value; the test module is used for testing a target cable harness and sending feedback signal information corresponding to each test section to the mobile terminal under the condition that measurement is completed; according to the invention, the measurement precision of the cable harness can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of communication cable testing, and in particular to a portable cable harness measurement and control system. Background Art

[0002] With the continuous development of modern industry, cable harnesses are increasingly used in complex equipment and systems, and their types and lengths are becoming increasingly diverse and large. However, in the face of this trend, traditional cable fault detection methods have many problems, such as difficulty in locating the fault point, slow testing speed, and poor anti-interference ability. These problems not only increase maintenance costs and equipment downtime, but can also lead to more serious safety accidents due to untimely troubleshooting. Therefore, how to control the measurement process of cable harnesses to improve detection accuracy is a technical problem that technicians in this field urgently need to solve.

[0003] Chinese Patent Publication No. CN114415067A discloses a high-speed communication cable testing system and testing method, comprising: a vector network analyzer, a multi-port switch matrix, a fixture and a detection subsystem; the fixture is used to clamp and connect the cable to be tested; the multi-port switch matrix is connected to the fixture and to the vector network analyzer; the vector network analyzer is in communication 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 of the present invention can quickly and conveniently perform automated cable testing, automatically switch the paths between the channels of the cable, avoid causing interface wear, thereby reducing test errors and shortening the test cycle, and automatically processing the data through the test unit to complete the testing of relevant indicators such as single-ended, differential, frequency, and time domain of the cable to be tested, and can quickly and accurately test various indicators of the produced cable and save the results. It can be seen that the above technical solution has the following problems: it is impossible to dynamically adjust the measurement method and parameters according to factors such as cable status and interference conditions, and it is difficult to flexibly respond to complex and changing test environments, resulting in poor measurement accuracy. Summary of the Invention

[0004] To this end, the present invention provides a portable cable harness measurement and control system to overcome the problem in the prior art that the measurement method and parameters cannot be dynamically adjusted according to factors such as cable status and interference conditions, and it is difficult to flexibly respond to complex and changing test environments, resulting in poor measurement accuracy.

[0005] To achieve the above objectives, the present invention provides a portable cable harness measurement and control system, comprising:

[0006] The measurement and analysis module is used to determine the cable status based on the cable information and multivariate complexity under preset preparation conditions, and determine the measurement method based on the cable status to obtain the test section. The measurement method is direct measurement or segmentation based on the cable characteristic coefficient. The test method is segmentation based on the status characterization value or measurement instability.

[0007] A parameter selection module, connected to the measurement and analysis module, for determining a parameter selection method corresponding to each test paragraph based on the paragraph feature matching coefficient, wherein the parameter selection method is determined based on the selection frequency dispersion coefficient or the reference parameter set update, wherein the parameter set selection method is performed based on the quantity representation value or the stability coefficient;

[0008] an optimization and adjustment module connected to the parameter selection module, for determining, based on the fault location difficulty value and the measurement fluctuation threshold, an optimization method, such as determining a processing method based on signal complexity or adjusting the pulse rise time based on the pulse deviation value, wherein the processing method is adjusting the probe movement speed or the filter order;

[0009] The testing 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 feedback signal information corresponding to each test section to the mobile terminal when the measurement is completed.

[0010] Furthermore, 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 mode is determined to be a 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 method is to segment according to the state characterization value;

[0012] If the cable characteristic coefficient is less than the preset cable characteristic coefficient, the segmented test method is to segment according to the measured instability.

[0013] Furthermore, if the cable status responded by the measurement and analysis module is that the cable information degree is greater than a preset cable information degree and the multivariate complexity is less than a preset multivariate complexity, the measurement method is determined to be direct measurement.

[0014] Furthermore, when the paragraph feature matching coefficient is greater than or equal to the preset paragraph feature matching coefficient, the parameter selection module determines that the parameter selection method is to determine the selection method according to the selection frequency dispersion coefficient;

[0015] If the selection frequency dispersion coefficient is greater than or equal to the preset selection frequency dispersion coefficient, the selection method is to select the parameter set according to the quantity representation value;

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

[0017] Furthermore, the parameter selection module determines that the parameter selection mode is a reference parameter set update when the paragraph feature matching coefficient is less than a preset paragraph feature matching coefficient;

[0018] In the update of the baseline parameter set, the baseline parameter set is determined based on the emerging reference value, and the update method is determined based on the parameter value category;

[0019] For a class of parameter values, the updating method is to replace them according to the effective emerging coefficient;

[0020] For the second type of parameter values, the updating method is to determine the compensation method according to the associated coupling degree.

[0021] Furthermore, the parameter selection module determines the compensation method according to the correlation coupling degree, including:

[0022] If the correlation coupling degree is greater than or equal to the preset correlation coupling degree, the compensation method is to compensate according to the deviation evaluation value;

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

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

[0025] A parameter value whose parameter value validity is greater than or equal to a preset parameter validity and whose maximum emergence threshold is greater than or equal to a preset maximum emergence coefficient;

[0026] The parameter value validity is less than the preset parameter validity or the maximum emergence threshold is less than the preset maximum emergence coefficient.

[0027] Furthermore, the optimization and adjustment module determines an optimization method 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 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 determine the processing method according to the signal complexity;

[0029] 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.

[0030] Furthermore, the optimization and adjustment module determines a processing method according to signal complexity, including:

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

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

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

[0034] The reduction value of the pulse rise time is positively correlated with the pulse deviation value.

[0035] Compared with the prior art, the beneficial effect of the present invention lies in that, in the technical solution of the present invention, the cable status is determined according to the cable information degree and multivariate complexity, and the cable information degree and multivariate complexity are used to effectively reflect the overall status and complexity of the cable harness. Then, different measurement methods are adaptively selected according to the cable status, so that the selection of measurement method is more in line with the actual application scenario. Direct measurement can quickly obtain the characteristic parameters of the tested cable, shortening the test cycle. Determining the segmented test method according to the cable characteristic coefficient can reduce the accumulation of measurement errors caused by the excessive cable length, improve the accuracy of the test results, and ensure that each section is effectively detected, thereby narrowing the fault range and improving the efficiency of troubleshooting. At the same time, it can fully consider the physical and electrical characteristics of the cable, further improving the detection accuracy.

[0036] Furthermore, the present invention effectively reflects the matching degree between the test section and each parameter set through the section feature matching coefficient, and then adaptively selects different parameter selection methods according to the section feature matching coefficient, so that the determined parameter selection method can accurately match the test requirements, and can dynamically adjust the setting parameters according to actual conditions, ensuring the real-time and effectiveness of the parameters, and ensuring that the setting parameters always adapt to the actual conditions of the cable, thereby improving the accuracy of the test.

[0037] Furthermore, when updating the benchmark parameter set, the present invention effectively reflects the reliability of the set parameters through the parameter value category, and then adaptively selects different update methods according to the parameter value category. The first type of parameter values are replaced according to the effective emerging coefficient, so that the parameter selection is better, and the measurement system performance and result reliability are improved. For the second type of parameter values, the compensation method is determined according to the associated coupling degree, and the parameters can be flexibly adjusted to make the parameter update more targeted, which is conducive to the continuous improvement and optimization of the measurement system and the improvement of measurement accuracy.

[0038] Furthermore, in the present invention, the correlation degree of the setting parameters is effectively reflected through the correlation coupling degree, and then different compensation methods are adaptively selected according to the correlation coupling degree. When the correlation coupling degree is high, compensation is performed based on the deviation evaluation value, which can fully reflect the deviation between the target parameter and the ideal state, making the compensation more accurate and effectively reducing the measurement error. When the correlation coupling degree is low, compensation is performed based on the comparison deviation value, which can intuitively reflect the deviation of the target parameter under different conditions, making the compensation more targeted and improving the measurement accuracy.

[0039] Furthermore, the present invention determines optimization requirements through the fault location difficulty value and the measurement fluctuation threshold, can flexibly cope with complex measurement environments, improve measurement accuracy and efficiency, and through detailed adjustment based on signal complexity and pulse deviation value, can ensure that measurement parameters better adapt to the actual conditions of the cable, further improve measurement accuracy, and reduce errors and misjudgments. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a module connection diagram of the portable cable harness measurement and control system of the present invention;

[0041] Figure 2 This is a flow chart of the present invention for determining a measurement method according to a cable state;

[0042] Figure 3 This is a flow chart of a method for selecting parameters corresponding to each test paragraph according to the paragraph feature matching coefficient of the present invention;

[0043] Figure 4 This is a flow chart of the present invention for determining a compensation method according to an associated coupling degree. DETAILED DESCRIPTION

[0044] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0045] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0046] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This 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 on the present invention.

[0047] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0048] See also Figures 1 to 4 As shown, the present invention provides a portable cable harness measurement and control system, comprising:

[0049] The measurement and analysis module is used to determine the cable status based on the cable information and multivariate complexity under preset preparation conditions, and determine the measurement method based on the cable status to obtain the test section. The measurement method is direct measurement or segmentation based on the cable characteristic coefficient. The test method is segmentation based on the status characterization value or measurement instability.

[0050] A parameter selection module, connected to the measurement and analysis module, for determining a parameter selection method corresponding to each test paragraph based on the paragraph feature matching coefficient, wherein the parameter selection method is determined based on the selection frequency dispersion coefficient or the reference parameter set update, wherein the parameter set selection method is performed based on the quantity representation value or the stability coefficient;

[0051] an optimization and adjustment module connected to the parameter selection module, for determining, based on the fault location difficulty value and the measurement fluctuation threshold, an optimization method, such as determining a processing method based on signal complexity or adjusting the pulse rise time based on the pulse deviation value, wherein the processing method is adjusting the probe movement speed or the filter order;

[0052] The testing 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 feedback signal information corresponding to each test section to the mobile terminal when the measurement is completed.

[0053] The application scenario of the present invention is the measurement of cable harnesses. In the present invention, several historical records are correspondingly provided. Any historical record records at least the cable length, laying years, number of maintenance times, frequency range reference value and multivariate complexity in the historical process of cable harness measurement, and each historical record corresponds to a qualified mark. The qualified mark records whether the cable harness measurement process meets the user requirements. The qualified mark can be recorded manually. It can be understood that the user can determine whether the cable harness measurement process meets the requirements based on self-set indicators. The self-set indicators can be but not limited to measurement accuracy, which will not be elaborated here. Among them, measurement accuracy = number of cable harnesses with accurate measurement results / total amount of cable harnesses measured;

[0054] The cable bundle being measured is recorded as the target cable bundle;

[0055] The preset preparation condition is that the user enters basic cable information and obtains frequency information. The basic cable information includes but is not limited to cable type, cable length, cable cross-sectional area, number of cable cores, number of repairs, repair location, and service life. Cable types include but are not limited to twisted pair cables, coaxial cables, and optical fiber cables. The frequency information is the various frequencies and corresponding amplitudes obtained by measuring the target cable harness using a spectrum analyzer. This is content that is easy for those skilled in the art to understand and is not described in detail here.

[0056] When testing the target cable harness, a test signal is sent for each test section according to each parameter value determined by the parameter selection module or each parameter value optimized by the optimization adjustment module to perform the test. This is easy for a person skilled in the art to understand and will not be described in detail.

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

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

[0059] The present invention is provided with a target coefficient and a related threshold value, and the corresponding relationship between the target coefficient and the related threshold value is expressed by a weight formula, and the weight formula is: target coefficient = weight coefficient × related threshold value. Specifically, the present invention records the value of d, the length of the test section, 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 as the target coefficient, and records the state characterization value, the measurement instability, 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 movement speed, the signal complexity, the measurement fluctuation threshold value and the pulse deviation value as the related threshold value. It can be understood that , the target coefficients all have corresponding related thresholds. For example, the value of d is positively correlated with the state characterization value, and the positive correlation between the value of d and the state characterization value is expressed by the weight formula. The value of the weight coefficient can be determined according to the user's historical experience based on the degree of influence of the state characterization value on the value of d, and the value of the weight coefficient can be optimized based on the historical records of multiple cable harness measurement processes combined with the multi-layer perceptron. The use of the multi-layer perceptron to optimize the value of the weight coefficient is content that is easy for technical personnel in this field to understand, and will not be elaborated on. The value principles of the weight coefficients corresponding to other target coefficients and related thresholds are the same, and will not be elaborated on here.

[0060] Specifically, 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 a segmented test method determined 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 method is to segment according to the state characterization value;

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

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

[0064] Multivariate complexity = linear complexity + signal complexity, linear complexity = cable length / preset cable length + installation years / preset installation years + number of repairs / preset number of repairs, signal complexity = frequency range reference value / preset frequency range reference value. Note that for individual feature information, if the user does not enter that feature information, the corresponding value of that feature information is recorded as 0;

[0065] The cable length is the length of the target cable harness, the installation life is the duration from the time the target cable harness was completed and put into use to the current time, and the number of repairs is the number of times the target cable harness has been repaired from the time the cable harness was completed and put into use to the current time.

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

[0067] The values of the preset cable length, preset laying life, preset number of maintenance times and preset frequency range reference values 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 values of the preset cable length, preset laying life, preset number of maintenance times and preset frequency range reference values. A method for determining the values of the preset cable length, preset laying life, preset number of maintenance times and preset frequency range reference values is provided. The average value of the cable length, the average value of the laying life, the average value of the maintenance times and the average value of the frequency range reference value corresponding to the historical records that can meet the user's needs are extracted and recorded as the preset cable length, preset laying life, preset number of maintenance times and preset frequency range reference values respectively;

[0068] The values of the preset cable information degree and the preset multivariate complexity can be determined by the user according to the actual application scenario. The greater the user's demand for improving the measurement accuracy of the cable harness, the smaller the values of the preset cable information degree and the preset multivariate complexity. A method for determining the values of the preset cable information degree and the preset multivariate complexity is provided. The preset cable information degree is 0. The historical records of direct measurement are detected, and the average value of the multivariate complexity corresponding to the historical records that can meet the user's needs is recorded as the preset multivariate complexity.

[0069] The methods for confirming the cable characteristic coefficient include:

[0070] If the cable length and maintenance 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 user needs;

[0071] If any of the cable length and maintenance location is unknown, the cable characteristic coefficient is 0;

[0072] The distribution reference value is confirmed by recording any end of the target cable harness as the reference end, recording the maintenance position closest to the reference end as the first position, and recording the maintenance position farthest from the reference end as the 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 maintenance positions;

[0073] The value of the preset cable characteristic coefficient can be determined by the user according to the actual application scenario. The greater the user's demand for improved test accuracy, the smaller the value of the preset cable characteristic coefficient. A preset cable characteristic coefficient value is provided, and the historical records segmented by the user according to the measurement instability are detected. The average value of the cable characteristic coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset cable characteristic coefficient;

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

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

[0076] When segmenting based on the measured instability, the length of each test segment is the same, and the length of a single test segment is negatively correlated with the measured instability. The test segment length is the length of the target cable harness contained in a single test segment. It should be noted that there is no overlap between the test segments.

[0077] Detect historical records with the same state representation value as that corresponding to the target cable harness and record them as reference historical records. Record the reference historical records that can meet user requirements as first records, and record the historical records that cannot meet user requirements as second records. Record the average value of the test section lengths corresponding to each first record as a1, and the average value of the test section lengths corresponding to each second record as a2. Measure the instability = |a1-a2| / (the larger value of a1 and a2);

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

[0079] It should be noted that when measuring each test section, the measurement is performed in order from the starting end of each test section to the reference end, from closest to farthest. When measuring a single test section, after connecting the probe interface to the starting end of the test section of the target cable harness, the current test section is tested and the probe moves to the end end of the current test section, completing the test of the current test section. The starting end of a single test section is the end closer to the reference end, and the end end is the end farther from the reference end.

[0080] Specifically, if the cable status responded by the measurement and analysis module is that the cable information degree is greater than the preset cable information degree and the multivariate complexity is less than the preset multivariate complexity, the measurement method is determined to be direct measurement.

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

[0082] Specifically, when the paragraph feature matching coefficient is greater than or equal to the preset paragraph feature matching coefficient, the parameter selection module determines that the parameter selection method is to determine the selection method according to the selection frequency dispersion coefficient;

[0083] If the selection frequency dispersion coefficient is greater than or equal to the preset selection frequency dispersion coefficient, the selection method is to select the parameter set according to the quantity representation value;

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

[0085] Among them, several parameter sets are set in the present invention, and a single parameter set contains parameter values corresponding to each setting parameter, and the setting parameters include but are not limited to the pulse amplitude, pulse width, pulse rise time, probe movement speed and filter order of the test signal; the pulse amplitude is the strength of the test signal, the unit is V, the pulse width is the duration of the test signal, the unit is s; the pulse rise time is the time it takes for the test signal to rise from 10% to 90% of the pulse amplitude, the unit is s, the probe movement speed is the speed at which the probe moves in a single test section, and the filter order is the number of release elements opened by the filter, and the release elements include inductors and capacitors. This is content that is easy to understand for those skilled in the art and will not be described in detail;

[0086] For a single test paragraph, the test paragraph is recorded as the target test paragraph. The paragraph feature matching coefficient is determined by recording the test paragraphs in the historical records whose matching degree with the target test paragraph is greater than the preset matching degree as pre-matched test paragraphs. The paragraph feature matching coefficient = the number of pre-matched test paragraphs in the historical records that can meet the user's needs / the number of pre-matched test paragraphs in the historical records that cannot meet the user's needs.

[0087] The matching degree between any two test paragraphs = specification matching degree / average of the specification matching degrees of each test paragraph in the historical records that can meet user needs + paragraph matching degree / average of the paragraph matching degrees of each test paragraph in the historical records that can meet user needs;

[0088] Specification matching is the number of identical cable basic information corresponding to the target cable harnesses in the two test sections; Section matching = 1 / (the absolute value of the difference between the section reference values corresponding to the two test sections + 1);

[0089] The paragraph reference value corresponding to a single test paragraph = the interval reference value / the average value of the interval reference values corresponding to each test paragraph in the historical records that can meet user needs + the test paragraph length / the average value of the test paragraph lengths corresponding to each test paragraph in the historical records that can meet user needs;

[0090] The interval reference value is the number of test segments between the start end and the reference end of a single test segment;

[0091] The value of the preset matching degree 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 value of the preset matching degree. A method for determining the value of the preset matching degree is provided, in which the average value of the reference matching degrees corresponding to each test segment in the historical record that can meet the user's needs is recorded as the preset matching degree; the reference matching degree corresponding to a single test segment is the matching degree corresponding to the test segment and any pre-matched test segment;

[0092] The value of the preset paragraph feature matching coefficient can be determined by the user according to the actual application scenario. The larger the value of the preset paragraph feature matching coefficient, the greater the user's need to determine the update method based on the parameter set overlap coefficient. A method for determining the value of the preset paragraph feature matching coefficient is provided to detect the historical records of the user determining the selection method based on the selection frequency discrete coefficient, and the average value of the paragraph feature matching coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset paragraph feature matching coefficient.

[0093] The selection frequency dispersion coefficient is confirmed by recording each pre-matched test segment corresponding to the target test segment in the historical record that can meet the user's needs as a matching segment, recording the parameter set selected by the matching segment as a selected parameter set, and the selection frequency dispersion coefficient is the standard deviation of the quantity representation value corresponding to each selected parameter set;

[0094] The quantity representation value corresponding to a single selection parameter set = the number of matching paragraphs that select the selection parameter set / the total number of matching paragraphs;

[0095] The value of the preset selection frequency dispersion coefficient can be determined by the user according to the actual application scenario. The smaller the value of the preset selection frequency dispersion coefficient, the greater the user's demand for selecting a parameter set based on the quantity representation value. A value of the preset selection frequency dispersion coefficient is provided, and the historical records of the user selecting the parameter set based on the quantity representation value are detected. The average value of the selection frequency dispersion coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset selection frequency dispersion coefficient;

[0096] The method for confirming the stability coefficient is as follows: for a single selection parameter set, the selection parameter set is recorded as the target selection parameter set, and the other selection parameter sets outside the target selection parameter set are recorded as reference selection parameter sets. The stability coefficient corresponding to the target selection parameter set is the average value of the number of identical parameters corresponding to the target selection parameter set and each reference selection parameter set; the number of identical parameters corresponding to any two selection parameter sets is the number of setting parameters with the same parameter values in one selection parameter set and the other selection parameter set;

[0097] When selecting a parameter set based on the quantity characterization value, the selection parameter set with the largest quantity characterization value is selected, and the parameter value of each setting parameter is set to the parameter value corresponding to each setting parameter in the selection parameter set;

[0098] When selecting a parameter set according to the stability coefficient, the parameter set with the largest stability coefficient is selected, and the parameter value of each setting parameter is set to the parameter value corresponding to each setting parameter in the selection parameter set.

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

[0100] In the update of the baseline parameter set, the baseline parameter set is determined based on the emerging reference value, and the update method is determined based on the parameter value category;

[0101] For a class of parameter values, the updating method is to replace them according to the effective emerging coefficient;

[0102] For the second type of parameter values, the updating method is to determine the compensation method according to the associated coupling degree.

[0103] When determining the benchmark parameter set based on the emerging reference values, the parameter set with the largest emerging reference value is used as the benchmark parameter set, and the emerging reference value corresponding to a single parameter set is the number of parameter values of a type in the parameter set;

[0104] For a 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 class parameter value, the update method is to replace it according to the effective emergence coefficient, wherein the target parameter value is replaced by the parameter value to be selected with the largest effective emergence coefficient, and the parameter value to be selected is a class parameter value among the parameter values corresponding to the target setting parameters in each parameter set;

[0106] Each pre-matching test paragraph corresponding to the target test paragraph in the historical record that can meet the user's needs is recorded as a matching paragraph, and each pre-matching test paragraph corresponding to the target test paragraph in the historical record that cannot meet the user's needs is recorded as a non-matching paragraph. The effective emergence coefficient corresponding to a single parameter value to be selected is the number of matching paragraphs with the parameter value to be selected.

[0107] Specifically, the parameter selection module determines the compensation method according to the correlation coupling degree, including:

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

[0109] If the correlation coupling degree is less than the preset correlation coupling degree, the compensation method is to compensate according to 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, and the setting parameters other than the target setting parameter in the benchmark parameter set are recorded as reference setting parameters.

[0111] The calculation formula of the correlation coefficient r corresponding to any two setting parameters is:

[0112]

[0113] m is the number of the first parameter set, x k and y k are the parameter values corresponding to the two setting parameters in the kth first parameter set, is x k The corresponding setting parameter is the average value of the parameter value corresponding to the k-th first parameter set, y k The average value of the parameter values corresponding to the corresponding setting parameters in the kth first parameter set, k = 1, 2, 3, ..., m; the parameter set selected by each matching paragraph is recorded as the first parameter set, and each first parameter set and the benchmark parameter set are recorded as the second parameter set.

[0114] The value of the preset correlation coupling degree can be determined by the user based on the actual application scenario. The smaller the value of the preset correlation coupling degree, 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 users performing compensation based on the comparison deviation value are detected. The average value of the correlation coupling degrees corresponding to the historical records that can meet the user's needs is recorded as the preset correlation coupling degree;

[0115] When compensating according to the comparison deviation value,

[0116] If the comparison deviation value is greater than or equal to 0, the target parameter value is increased and adjusted according to the comparison deviation value;

[0117] If the comparison deviation value is less than 0, the target parameter value is adjusted downward according to the comparison deviation value;

[0118] The increase and decrease of the target parameter value are both positively correlated with the absolute value of the comparison deviation;

[0119] Comparison deviation value = (average value of parameter values corresponding to the target setting parameter in each matching paragraph / average value of parameter values corresponding to the target setting parameter in each non-matching paragraph) - (target parameter value / average value of parameter values corresponding to the target setting parameter in each non-matching paragraph);

[0120] When compensation is performed based on the deviation evaluation value,

[0121] If the deviation evaluation value is greater than or equal to 0, the target parameter value is increased and adjusted according to the deviation evaluation value;

[0122] If the deviation evaluation value is less than 0, the target parameter value is adjusted downward according to the deviation evaluation value;

[0123] The increase in the target parameter value and the decrease in the target parameter value are both positively correlated with the absolute value of the deviation assessment value;

[0124] Deviation evaluation value = (average value of the parameter values corresponding to the target setting parameters corresponding to each matching paragraph - target parameter value) × (average value of the correlation coefficients corresponding to the target setting parameters and each reference setting parameter / average value of the reference correlation coefficients corresponding to the target setting parameters and each reference setting parameter);

[0125] The calculation formula of the reference correlation coefficient r0 corresponding to any two setting parameters is:

[0126]

[0127] m0 is the number of the second parameter set, x k0 and y k0 are the parameter values corresponding to the two setting parameters in the k0th second parameter set, is x k The corresponding setting parameter is the average value of the parameter value corresponding to the k0th second parameter set, y k0 The average value of the parameter value corresponding to the k0th second parameter set of the corresponding setting parameter, k0=1, 2, 3, ..., m0;

[0128] It should be noted that after updating the parameter values of the reference parameter set, the updated parameter set is recorded as the updated parameter set, and the parameter value of each setting parameter is set to the parameter value corresponding to each setting parameter in the updated parameter set.

[0129] Specifically, the parameter selection module determines the parameter value category according to the parameter value validity and the maximum emergence threshold, and the parameter value category includes:

[0130] A parameter value whose parameter value validity is greater than or equal to a preset parameter validity and whose maximum emergence threshold is greater than or equal to a preset maximum emergence coefficient;

[0131] The parameter value validity is less than the preset parameter validity or the maximum emergence threshold is less than the preset maximum emergence coefficient.

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

[0133] The values of the preset parameter validity and the preset maximum emerging coefficient can be determined by the user according to the actual application scenario. The greater the user's demand for improving measurement accuracy, the greater the values of the preset parameter validity and the preset maximum emerging coefficient. A method for determining the values of the preset parameter validity and the preset maximum emerging coefficient is provided, and the average value of the parameter value validity and the average value of the maximum emerging coefficient corresponding to each type of parameter value in the historical records that can meet the user's needs are extracted respectively, and are recorded as the preset parameter validity and the preset maximum emerging coefficient respectively.

[0134] Specifically, the optimization adjustment module determines the optimization method according to 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 greater than or equal to the preset measurement fluctuation threshold, the optimization method is to determine the processing method according to 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] 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 ordinate value corresponding to the peak closest to the origin in the feedback signal curve of a single test section - the ordinate value corresponding to 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 horizontal axis and reflection signal strength as the vertical axis. The reflection time is the time it takes for the pulse signal to be emitted from a single test section and reflected back, in seconds. The reflection signal strength is the amplitude of the reflection signal, in V.

[0139] The measurement fluctuation threshold is the maximum value of 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 values corresponding to each analysis point in the feedback signal curve corresponding to a single test section.

[0140] The reflection time corresponding to the feedback signal curve of a single test section is divided into w equal parts, and the horizontal coordinate points corresponding to the initial reflection time and the final reflection time of the feedback signal curve are recorded as analysis points. The value of w is positively correlated with the maximum reflection time corresponding to the single test section. 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 horizontal coordinate values corresponding to the points closest to the origin and the points farthest from the origin in the horizontal coordinate of the feedback signal curve;

[0141] The values of the preset fault location difficulty value and the preset measurement fluctuation threshold value can be determined by the user according to the actual application scenario. The greater the user's demand for improving the detection accuracy, the smaller the value of the preset fault location difficulty value. A method for determining the preset fault location difficulty value is provided, and the average value of the fault location difficulty values corresponding to the historical records that are not optimized and can meet the user's needs is recorded as the preset fault location difficulty value. The smaller the value of the preset measurement fluctuation threshold value, the greater the user's demand for adjusting the pulse rise time according to the pulse deviation value. A method for determining the preset measurement fluctuation threshold value is provided, and the historical records of adjusting the pulse rise time according to the pulse deviation value are detected, and the average value of the measurement fluctuation threshold values corresponding to the historical records that can meet the user's needs is recorded as the preset measurement fluctuation threshold value.

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

[0143] Specifically, the optimization and adjustment module determines a processing method according to 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] Among them, the signal complexity is the maximum value of the sub-signal complexity corresponding to each test section in the target cable harness, and the sub-signal complexity is the standard deviation of the vertical coordinate values corresponding to each peak in the feedback signal curve corresponding to a single test section;

[0147] The value of the preset signal complexity can be determined by the user 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 value of the preset signal complexity is provided. The historical records of the user reducing the probe movement speed are detected, and the average value of the signal complexity corresponding to the historical records that can meet the user's needs is recorded as the preset signal complexity.

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

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

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

[0151] Specifically, the optimization and adjustment module reduces and adjusts the pulse rise time according to the pulse deviation value;

[0152] The reduction value of the pulse rise time is positively correlated with the pulse deviation value.

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

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

[0155] Thus far, the technical solutions of the present invention have been described in conjunction with 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 may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0156] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be 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 and multivariate complexity under preset preparation conditions, and determine the measurement method based on the cable status to obtain the test section. The measurement method is direct measurement or segmentation based on the cable characteristic coefficient. The test method is segmentation based on the status characterization value or measurement instability. A parameter selection module, connected to the measurement and analysis module, for determining a parameter selection method corresponding to each test paragraph based on the paragraph feature matching coefficient, wherein the parameter selection method is determined based on the selection frequency dispersion coefficient or the reference parameter set update, wherein the parameter set selection method is performed based on the quantity representation value or the stability coefficient; an optimization and adjustment module connected to the parameter selection module, for determining, based on the fault location difficulty value and the measurement fluctuation threshold, an optimization method, such as determining a processing method based on signal complexity or adjusting the pulse rise time based on the pulse deviation value, wherein the processing method is adjusting the probe movement speed or the filter order; The testing 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 feedback signal information corresponding to each test section to the mobile terminal when the measurement is completed.

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 a segmented test method determined according to the cable characteristic coefficient; If the cable characteristic coefficient is greater than or equal to the preset cable characteristic coefficient, the segmented 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 according to 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 that the cable information degree is greater than the preset cable information degree and the multivariate complexity is less than the preset multivariate complexity, 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: The parameter selection module determines that the parameter selection mode is to determine the selection mode according to the selection frequency dispersion coefficient when the paragraph feature matching coefficient is greater than or equal to the preset paragraph feature matching coefficient; If the selection frequency dispersion coefficient is greater than or equal to the preset selection frequency dispersion coefficient, the selection method is to select the parameter set according to the quantity representation value; If the selection frequency dispersion coefficient is less than the preset selection frequency dispersion coefficient, the selection method is to select the parameter set according to the stability coefficient.

5. The portable cable harness measurement and control system according to claim 4, characterized in that: The parameter selection module determines that the parameter selection mode is a reference parameter set update when the paragraph feature matching coefficient is less than a preset paragraph feature matching coefficient; In the update of the baseline parameter set, the baseline parameter set is determined based on the emerging reference value, and the update method is determined based on the parameter value category; For a type of parameter value, the update method is to replace it according to the effective emerging coefficient; For the second type of parameter values, the updating method is to determine the compensation method according to the associated coupling degree.

6. The portable cable harness measurement and control system according to claim 5, characterized in that: The parameter selection module determines the compensation method according to the correlation coupling degree, including: If the correlation coupling degree is greater than or equal to the preset correlation coupling degree, the compensation method is to compensate according to the deviation evaluation value; If the correlation coupling degree is less than the preset correlation coupling degree, the compensation method is to compensate according to the comparison deviation value.

7. The portable cable harness measurement and control system according to claim 5, characterized in that: The parameter selection module determines the parameter value category according to the parameter value validity and the maximum emergence threshold, and the parameter value category includes: A parameter value whose parameter value validity is greater than or equal to a preset parameter validity and whose maximum emergence threshold is greater than or equal to a preset maximum emergence coefficient; The parameter value validity is less than the preset parameter validity or the maximum emergence threshold is less than the preset maximum emergence coefficient.

8. The portable cable harness measurement and control system according to claim 7, characterized in that: The optimization adjustment module determines the optimization method according to 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 greater than or equal to the preset measurement fluctuation threshold, the optimization method is to determine the processing method according to 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.

9. The portable cable harness measurement and control system according to claim 8, characterized in that: The optimization and adjustment module determines a processing method according to 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.

10. The portable cable harness measurement and control system according to claim 9, characterized in that: The optimization and adjustment module reduces and adjusts the pulse rise time according to the pulse deviation value; The reduction value of the pulse rise time is positively correlated with the pulse deviation value.

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