CN116505972B - Intelligent detection method and system for cable signal transmission - Google Patents
Intelligent detection method and system for cable signal transmission Download PDFInfo
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Abstract
The invention provides an intelligent detection method and system for cable signal transmission, and relates to the technical field of signal detection, wherein the method comprises the steps of obtaining M-type signal transmission tasks; performing signal transmission test on the target cable by adopting M signal transmission tasks, and detecting to obtain M signal transmission characteristic information sets; inputting the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into a signal transmission evaluation module in a cable transmission detection model to obtain M signal transmission evaluation results; based on the execution requirement of the M-class signal transmission task, calculating and acquiring M task importance coefficients; and carrying out weighted calculation on the M signal transmission evaluation results by adopting M task importance coefficients to obtain a comprehensive signal transmission detection result. The invention solves the technical problems of incomplete and inaccurate signal cable detection method in the prior art, and achieves the technical effects of improving the comprehensiveness, applicability and accuracy of signal cable signal transmission detection.
Description
Technical Field
The invention relates to the technical field of signal detection, in particular to an intelligent detection method and system for cable signal transmission.
Background
The signal cable is used as a cable transmission tool for signal transmission, and a shielding layer is arranged in the signal cable for ensuring stable transmission of signals with higher quality so as to prevent noise caused by interference signals entering the cable and further ensure the quality of signal transmission.
However, due to defects in the production of the signal cable or loss in use, the signal cable is inevitably free from the quality problem of signal transmission when the signal cable is subjected to signal transmission, and in the prior art, when the signal transmission quality of the signal cable is detected, the signal transmission quality of the signal cable is generally simply judged through the presentation quality after the signal transmission, so that the technical problems of incomplete detection and inaccurate detection result of the signal transmission of the cable exist.
Disclosure of Invention
The application provides an intelligent detection method and system for cable signal transmission, which are used for solving the technical problems of incomplete detection and inaccurate detection result of a signal cable in the prior art when signal transmission quality detection is carried out.
In view of the above problems, the present application provides an intelligent detection method and system for cable signal transmission.
In a first aspect, the present application provides an intelligent detection method for cable signal transmission, the method comprising:
Acquiring M types of signal transmission tasks needing to be transmitted by adopting a target cable, wherein the target cable is a cable to be transmitted and detected, and M is an integer greater than 1;
adopting the M-type signal transmission task to perform signal transmission test on the target cable, and detecting and obtaining M signal transmission characteristic information sets comprising various signal transmission characteristics, wherein the various signal transmission characteristics comprise transmission average speed, transmission peak value speed, transmission error rate and transmission time delay;
respectively inputting the transmission average speed and the transmission peak speed in the M signal transmission characteristic information sets into a transmission speed evaluation module in a cable transmission detection model to obtain M transmission speed evaluation results;
inputting the M transmission speed evaluation results, the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into a signal transmission evaluation module in the cable transmission detection model to obtain M signal transmission evaluation results;
based on the execution requirement of the M-class signal transmission task, calculating and acquiring M task importance coefficients;
and carrying out weighted calculation on the M signal transmission evaluation results by adopting the M task importance coefficients to obtain a comprehensive signal transmission detection result of the target cable.
In a second aspect, the present application provides an intelligent detection system for cable signal transmission, the system comprising:
the transmission task acquisition module is used for acquiring M types of signal transmission tasks needing to be transmitted by adopting a target cable, wherein the target cable is a cable to be transmitted and detected, and M is an integer greater than 1;
the signal transmission testing module is used for carrying out signal transmission testing on the target cable by adopting the M signal transmission tasks and detecting and obtaining M signal transmission characteristic information sets comprising various signal transmission characteristics, wherein the various signal transmission characteristics comprise transmission average speed, transmission peak value speed, transmission error rate and transmission time delay;
the transmission speed evaluation module is used for respectively inputting the transmission average speed and the transmission peak value speed in the M signal transmission characteristic information sets into the transmission speed evaluation module in the cable transmission detection model to obtain M transmission speed evaluation results;
the signal transmission evaluation module is used for inputting the M transmission speed evaluation results, the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into the signal transmission evaluation module in the cable transmission detection model to obtain M signal transmission evaluation results;
The task coefficient acquisition module is used for calculating and acquiring M task importance coefficients based on the execution requirements of the M class signal transmission tasks;
and the detection result calculation module is used for carrying out weighted calculation on the M signal transmission evaluation results by adopting the M task importance coefficients to obtain the comprehensive signal transmission detection result of the target cable.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
according to the intelligent detection method for cable signal transmission, provided by the embodiment of the application, multiple types of signal transmission tasks for signal transmission of the target cable are obtained, signal transmission is tested on the target cable, a signal transmission characteristic information set is obtained, then the transmission speed is estimated, further the comprehensive estimation of the signal transmission performance is carried out, multiple signal transmission estimation results are obtained, task importance coefficients are set for the importance of the target cable according to the multiple types of signal transmission tasks, and the multiple signal transmission estimation results are weighted and calculated, so that the comprehensive signal transmission detection result is obtained. According to the embodiment of the application, the signal transmission test is performed by acquiring the signal transmission tasks of the signal cable for signal transmission, and the evaluation and weighting are performed according to the characteristic information obtained by the multiple tests, so that the dimension and accuracy of signal transmission detection can be improved, the method is suitable for the signal transmission condition of the signal cable, and the technical effects of improving the comprehensiveness and accuracy of signal transmission detection of the signal cable are achieved.
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FIG. 1 is a schematic flow chart of an intelligent detection method for cable signal transmission;
fig. 2 is a schematic flow chart of detecting and obtaining M signal transmission characteristic information sets in the intelligent detection method for cable signal transmission according to the present application;
FIG. 3 is a schematic flow chart of obtaining M task importance coefficients in the intelligent detection method for cable signal transmission;
fig. 4 is a schematic structural diagram of an intelligent detection system for cable signal transmission.
Reference numerals illustrate: the system comprises a transmission task acquisition module 11, a signal transmission test module 12, a transmission speed evaluation module 13, a signal transmission evaluation module 14, a task coefficient acquisition module 15 and a detection result calculation module 16.
Detailed Description
The application provides an intelligent detection method and system for cable signal transmission, which are used for solving the technical problems of incomplete detection and inaccurate detection result when signal transmission quality detection is carried out on a signal cable in the prior art.
Example 1
As shown in fig. 1, the present application provides an intelligent detection method for cable signal transmission, which includes:
step S100: acquiring M types of signal transmission tasks needing to be transmitted by adopting a target cable, wherein the target cable is a cable to be transmitted and detected, and M is an integer greater than 1;
In the embodiment of the application, the target cable is a cable for signal transmission and is used as a wired carrier for signal transmission. The target cable can be any type of signal cable in the prior art, for example, a cable with a multi-core silver-plated conductor, and an insulating layer, a protective layer, a shielding layer, a sheath layer and the like are arranged outside the target cable to protect signal transmission of the inner conductor.
The target cable can be a cable in the use process, for example, the intelligent detection of the signal transmission quality is performed after a period of use, so as to judge the signal transmission quality of the target cable, and then the signal transmission quality is used as a basis for judging whether the target cable can be used continuously.
M signal transmission tasks which need to be transmitted by the target cable are acquired, wherein M is an integer larger than 1, and the M signal transmission tasks can be particularly signal transmission tasks which are transmitted by different types and sizes of signal contents in the use process of the target cable. For example, the transmission of signal data with a larger data volume and the transmission of signal data with a smaller data volume by the target cable during use constitute two different signal transmission tasks, and the transmission of different types of data signals also constitutes different signal transmission tasks.
The step S100 in the method provided by the embodiment of the application comprises the following steps:
S110: according to the historical data of the main body currently carrying out signal transmission in the past preset time range, a historical transmission task set is obtained;
s120: extracting transmission signal types of transmission tasks in the historical transmission task set to obtain P transmission types, wherein P is a positive integer;
s130: extracting the transmission signal size of the transmission task in the history transmission task set to obtain a signal size information set;
s140: dividing the signal size information set into intervals to obtain Q signal size intervals, wherein Q is a positive integer;
s150: and combining the P transmission types and the Q signal size intervals to obtain the M signal transmission tasks.
In the embodiment of the present application, according to the historical data of the signal transmission performed by the main body currently using the target cable in the past preset time range, the main body may be, for example, a person using the target cable to perform signal transmission, and the preset time range may be a time range having any time span, for example, one month, one year, and the like.
The method comprises the steps of extracting historical data of a main body for signal transmission in a past preset time range, and obtaining a plurality of historical transmission tasks for data signal transmission in the historical preset time range as a historical transmission task set.
Extracting transmission signal types of a plurality of historical transmission tasks in the historical transmission task set to obtain P transmission types, wherein P is a positive integer. The transmission signal type may be, for example, a continuous signal, a discrete signal, a time domain signal, a frequency domain signal, or the like.
The method comprises the steps of extracting the data size of transmission signals of a plurality of historical transmission tasks in a historical transmission task set, converting the data into signals, and transmitting the signals through a signal cable, so that the size of the single signal data size is specifically collected, and a signal size information set is obtained, wherein the signal size information set comprises the signal data size of the plurality of historical transmission tasks.
Further, the signal data size in the signal size information set is divided into intervals, and illustratively, the minimum and maximum signal data sizes in the signal size information set are taken as edge values of a total interval, and then equidistant division is performed to obtain Q signal size intervals, wherein Q is a positive integer.
The P transmission types and the Q signal size intervals are adopted for combination, and specifically, each single transmission type and the Q signal size intervals are adopted for one-to-one combination to obtain M signal transmission tasks, wherein M is the product of P and Q.
According to the embodiment of the application, the M-class signal transmission task is obtained by obtaining the signal transmission task in the history time of the target cable and extracting the characteristics of the data signal, and is used as the data base for detecting the transmission quality of the cable signal, so that the adaptive test can be performed according to the running condition of the target cable, and the applicability and accuracy of the test are improved.
Step S200: adopting the M-type signal transmission task to perform signal transmission test on the target cable, and detecting and obtaining M signal transmission characteristic information sets comprising various signal transmission characteristics, wherein the various signal transmission characteristics comprise transmission average speed, transmission peak value speed, transmission error rate and transmission time delay;
in the embodiment of the application, the M-class signal transmission task is adopted to perform signal transmission test on the target cable, and the signal transmission performance of the target cable is detected in the test, so that M signal transmission characteristic information sets which comprise various signal transmission characteristics and are used for testing the M-class signal transmission task are obtained.
In one embodiment, the plurality of signal transmission characteristics includes transmission average speed, transmission peak speed, transmission bit error rate, and transmission delay.
As shown in fig. 2, step S200 in the method provided in the embodiment of the present application includes:
S210: acquiring a plurality of first test cases according to a first signal transmission task in the M-class signal transmission task;
s220: performing signal transmission testing on the target cable by adopting the first test cases, and detecting and obtaining a plurality of signal transmission characteristic information sets comprising a plurality of signal transmission characteristics;
s230: according to the signal transmission characteristic information sets, calculating and obtaining a first transmission average speed, a first transmission peak speed, a first transmission error rate and a first transmission time delay as a first signal transmission characteristic information set;
s240: and continuing to perform signal transmission testing on the target cable according to other M-1 signal transmission tasks, and detecting and obtaining the M signal transmission characteristic information sets.
In the embodiment of the application, a class of signal transmission tasks is randomly selected from M classes of signal transmission tasks to serve as a first signal transmission task, and a plurality of first test cases are acquired according to the first signal transmission task.
The plurality of first test cases are a plurality of specific test cases which accord with the characteristics of the first signal transmission task, namely data signals with the type of the transmission signal and the size of the signal in the first signal transmission task, and specifically are a plurality of data signal contents.
And carrying out signal transmission test on the target cable by adopting a plurality of first test cases, and detecting to obtain a plurality of signal transmission characteristic information sets comprising a plurality of signal transmission characteristics in the transmission test process and after the test is finished, wherein each signal transmission characteristic information set comprises the transmission average speed, the transmission peak value speed, the transmission error rate and the average transmission delay of signal transmission of the corresponding first test case in the signal transmission test.
And further calculating the average transmission speed, the transmission peak value speed, the transmission error rate and the average transmission time delay value according to the plurality of signal transmission characteristic information sets, and obtaining the first transmission average speed, the first transmission peak value speed, the first transmission error rate and the first transmission time delay of a plurality of first test cases as a first signal transmission characteristic information set of a first signal transmission task.
Based on the same method, the target cable is tested by adopting other M-1 signal transmission tasks, and other M-1 signal transmission characteristic information sets are obtained by detection, so that M signal transmission characteristic information sets are obtained.
According to the embodiment of the application, a plurality of test cases are obtained through design, the signal transmission test of M-class signal transmission tasks is carried out one by one, a more accurate signal transmission test result can be obtained and used as data for analyzing the transmission performance of the target cable for different signal transmission tasks, and the technical effect of improving the signal transmission detection accuracy is achieved.
Step S300: respectively inputting the transmission average speed and the transmission peak speed in the M signal transmission characteristic information sets into a transmission speed evaluation module in a cable transmission detection model to obtain M transmission speed evaluation results;
in the embodiment of the application, the transmission speed of the target cable in signal transmission of the M signal transmission tasks is comprehensively estimated based on the transmission average speed and the transmission peak speed in the M signal transmission characteristic information sets, so that the transmission speed is used as a data basis for estimating the signal transmission performance of the target cable.
The step S300 in the method provided by the embodiment of the present application includes:
s310: based on the M-class signal transmission task, acquiring M sample transmission average speed sets and M sample transmission peak speed sets, and respectively carrying out transmission speed evaluation to acquire M sample transmission speed evaluation result sets;
s320: constructing a first transmission speed evaluation unit in a transmission speed evaluation module based on a first sample transmission average speed set and a first sample transmission peak speed set in the M sample transmission average speed sets and the M sample transmission peak speed sets, wherein the first transmission speed evaluation unit comprises a plurality of sample first coordinate points, and each sample first coordinate point corresponds to a first sample transmission speed evaluation result in the first sample transmission speed evaluation result set one by one;
S330: inputting a first transmission average speed and a first transmission peak value speed of a first signal transmission task into the first transmission speed evaluation unit, obtaining a first coordinate point, and obtaining K sample first coordinate points closest to the first coordinate point, wherein K is an odd number greater than or equal to 3;
s340: obtaining K first sample transmission speed evaluation results corresponding to the K sample first coordinate points, and taking the first sample transmission speed evaluation result with the highest occurrence frequency as a first transmission speed evaluation result of a first signal transmission task;
s350: and constructing and obtaining other M-1 transmission speed evaluation units, obtaining the signal transmission evaluation module, and obtaining other M-1 transmission speed evaluation results.
In the embodiment of the application, based on the historical data of the target cable for signal transmission of the M signal transmission tasks in the past time, the data detection of the transmission speed is carried out, M sample transmission average speed sets and M sample transmission peak speed sets are obtained, and each sample transmission average speed set and each sample transmission peak speed set comprise the transmission average speed and the transmission peak speed of the same signal transmission task in a plurality of specific signal transmission processes.
Further, according to the transmission signals transmitted specifically, the sample transmission average speeds and the sample transmission peak speeds in the M sample transmission average speed sets and the M sample transmission peak speed sets are correspondingly combined one by one, the transmission speeds are comprehensively evaluated, corresponding sample transmission speed evaluation results are obtained, and then M sample transmission speed evaluation result sets are obtained.
The comprehensive evaluation of the transmission speed can be based on unified evaluation by a person skilled in the signal transmission field, and the larger the transmission average speed and the larger the transmission peak speed, the larger the transmission speed evaluation result obtained by the evaluation. The transmission speed evaluation result may be a specific grade, for example, a grade of 1 to 10. For example, the transmission average speed and the transmission peak speed may be added, and the evaluation may be performed according to the result of the addition.
And constructing a first transmission speed evaluation unit in the transmission speed evaluation module based on the corresponding first sample transmission average speed set and the corresponding first sample transmission peak speed set randomly selected from the M sample transmission average speed sets and the M sample transmission peak speed sets and the corresponding first sample transmission speed evaluation result set from the M sample transmission speed evaluation result sets, wherein the signal transmission tasks corresponding to the first sample transmission average speed set, the first sample transmission peak speed set and the first sample transmission speed evaluation result set are the same. Step S320 in the method provided by the embodiment of the present application includes:
S321: constructing two mutually perpendicular coordinate axes in a first coordinate system based on the transmission average speed and the transmission peak speed;
s322: inputting the data in the first sample transmission average speed set and the first sample transmission peak speed set into the first coordinate system to obtain a plurality of sample first coordinate points;
s323: and marking the first coordinate points of the samples by adopting a plurality of first sample transmission speed evaluation results in the first sample transmission speed evaluation result set to obtain the first transmission speed evaluation unit.
In the embodiment of the application, two mutually perpendicular coordinate axes in the first coordinate system are constructed based on the transmission average speed and the transmission peak speed of the signal transmission of the target cable, for example, an abscissa axis is constructed by the transmission average speed, a specific value of the transmission average speed is used as a specific coordinate value on the abscissa axis, and the transmission peak speed is used as an ordinate value.
And combining the data in the first sample transmission average speed set and the first sample transmission peak speed set in a one-to-one correspondence manner, wherein the correspondence refers to that the same specific transmission signal corresponds to one group of sample transmission average speed and sample transmission peak speed in the transmission process, and the combined sample is input into a first coordinate system to form corresponding horizontal coordinate values and vertical coordinate values so as to form a plurality of corresponding sample first coordinate points.
And marking the first coordinate points of the samples in a one-to-one correspondence manner by adopting a plurality of first sample transmission speed evaluation results in the first sample transmission speed evaluation result set, namely, the first sample transmission average speed and the first sample transmission peak value speed in each sample first coordinate point and the marked first sample transmission speed evaluation result correspond to the same specific transmission signal. Thus, a constructed first transmission speed evaluation unit is obtained.
And inputting the first transmission average speed and the first transmission peak speed of the first type of signal transmission tasks in the M signal transmission characteristic information sets into a first coordinate system in the first transmission speed evaluation unit based on the constructed first transmission speed evaluation unit to form a corresponding first coordinate point.
And calculating the distance between the first coordinate point of the sample near the first coordinate point and the first coordinate point, and acquiring K nearest sample first coordinate points of the first coordinate point, wherein K is an odd number greater than or equal to 3, and K is 5 in an exemplary manner.
Further obtaining K first sample transmission speed evaluation results marked by the K first sample coordinate points, taking the first sample transmission speed evaluation result with the highest occurrence frequency as the first transmission speed evaluation result of the first signal transmission task, and completing analysis and evaluation of the signal transmission speed of the first signal transmission task by the target cable.
In one embodiment, if the K first sample transmission speed estimation results have the first sample transmission speed estimation results with the same frequency of occurrence, the K value is further expanded until there is a single first sample transmission speed estimation result with the highest frequency of occurrence.
Based on the same method as step S310-340, M-1 transmission speed evaluation units corresponding to other M-1 signal transmission tasks are continuously constructed, the specific construction process is not repeated, M transmission speed evaluation units are obtained in combination with the first transmission speed evaluation unit, and the M transmission speed evaluation units form the transmission speed evaluation module.
And inputting the transmission average speed and the transmission peak speed in other M-1 signal transmission characteristic information sets into the M-1 transmission speed evaluation units to obtain other M-1 transmission speed evaluation results, and further obtaining M transmission speed evaluation results of the target cable on M signal transmission tasks.
According to the embodiment of the application, the KNN algorithm is based, so that a plurality of transmission speed evaluation units for evaluating the signal transmission speeds of different signal transmission tasks by the target cable are constructed, the transmission speed can be evaluated accurately based on the transmission average speed and the transmission peak speed, and further the evaluation unit is used as basic data for signal transmission detection of the target cable, and the accuracy of signal transmission detection is improved.
Step S400: inputting the M transmission speed evaluation results, the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into a signal transmission evaluation module in the cable transmission detection model to obtain M signal transmission evaluation results;
in the embodiment of the application, based on M transmission speed evaluation results obtained by signal transmission speed evaluation, the residual transmission error rate and transmission delay in the M signal transmission characteristic information sets are combined and input into a signal transmission evaluation module in a cable transmission detection model, and the transmission performance of a target cable to M signal transmission tasks is comprehensively evaluated from three angles of transmission speed, transmission error rate and transmission delay, so that M signal transmission evaluation results are obtained.
The step S400 in the method provided by the embodiment of the present application includes:
s410: based on the M-class signal transmission task, acquiring M sample transmission speed evaluation result sets, M sample transmission error rate sets and M sample transmission delay sets;
s420: according to the M sample transmission speed evaluation result sets, the M sample transmission error rate sets and the M sample transmission time delay sets, cable transmission performance evaluation is carried out, and M sample signal transmission evaluation result sets are obtained;
S430: respectively adopting the M sample transmission speed evaluation result sets, the M sample transmission error rate sets, the M sample transmission delay sets and the M sample signal transmission evaluation result sets as construction data, constructing and obtaining M signal transmission evaluation units meeting convergence conditions based on a feedforward neural network, wherein the M signal transmission evaluation units form the signal transmission evaluation module;
s440: and respectively inputting the M transmission speed evaluation results and the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into the M signal transmission evaluation units to obtain the M signal transmission evaluation results.
In the embodiment of the application, first, construction data for constructing the signal transmission evaluation module is acquired.
According to the M-class signal transmission task, a transmission error rate and a transmission delay which are obtained by detection when a specific signal of the M-class signal transmission task is transmitted in the target cable passing time are obtained, and M sample transmission error rate sets and M sample transmission delay sets are obtained.
And acquiring the transmission average speed and the transmission peak speed which are obtained by detection when the specific signal of the M-class signal transmission task is transmitted in the target cable passing time, and carrying out transmission speed evaluation based on the method of the step S300 to obtain M sample signal transmission evaluation result sets.
And combining the sample transmission speed evaluation results, the sample transmission error rate and the sample transmission time delay corresponding to the specific signal transmitted in the same specific mode according to the M sample transmission speed evaluation result sets, the M sample transmission error rate sets and the M sample transmission time delay sets, and evaluating the transmission performance of the specific signal by the target cable to obtain the corresponding sample signal transmission evaluation result. Thus, M sample signal transmission evaluation result sets of M signal transmission tasks can be obtained.
For example, the evaluation of the signal transmission evaluation result may be based on a unified evaluation by a person skilled in the signal transmission field, wherein the sample signal transmission evaluation result may be a level, specifically may be a plurality of levels of 1-10, and the higher the sample transmission speed evaluation result is, the smaller the transmission error rate is, and the smaller the transmission delay is, the higher the level of the signal transmission evaluation result obtained by the evaluation is.
In one embodiment, a technician may evaluate according to the sample transmission speed evaluation result, the sample transmission error rate and the sample transmission delay, respectively, to obtain three level values, and then calculate the average value of the three level values as the signal transmission evaluation result.
And respectively adopting M sample transmission speed evaluation result sets, M sample transmission error rate sets, M sample transmission delay sets and M sample signal transmission evaluation result sets as construction data, and constructing and obtaining M signal transmission evaluation units meeting convergence conditions based on a feedforward neural network.
Taking the construction process of the first signal transmission evaluation unit selected randomly from the M signal transmission evaluation units as an example, the construction process of the M signal transmission evaluation units is described below, where the construction processes of the M signal transmission evaluation units are the same, but the construction data are different.
Based on the feedforward neural network, a network structure of a first signal transmission evaluation unit is constructed, and the first signal transmission evaluation unit corresponds to a first signal transmission task in M-type signal transmission tasks and is used for comprehensively evaluating the performance of a target cable for carrying out signal transmission on specific signals of the first signal transmission task.
The feedforward neural network is a neural network in machine learning, and comprises a plurality of hidden layers, wherein the hidden layers comprise a plurality of neurons connected through network parameters such as weights, and the like, and can perform nonlinear logic operation according to input and obtain an output result.
And marking and dividing data of the M sample transmission speed evaluation result sets, the M sample transmission error rate sets, the M sample transmission delay sets and a first sample transmission speed evaluation result set, a first sample transmission error rate set, a first sample transmission delay set and a first sample signal transmission evaluation result set corresponding to a first signal transmission task in the M sample signal transmission evaluation result sets to obtain a training set, a verification set and a test set, wherein the ratio can be 7:2:1.
And (3) performing iterative supervision training on the first signal transmission evaluation unit by adopting the training set, inputting a group of input data into the first signal transmission evaluation unit to obtain output, judging whether the output is the same as the expected output or not, if not, calculating an error, and adjusting and updating network parameters of the first signal transmission evaluation unit according to the error to enable the expected output to be obtained, and performing iteration until the convergence or accuracy of the first signal transmission evaluation unit relative to the training set reaches a preset condition, wherein the preset condition can be 85%, so as to obtain the first signal transmission evaluation unit with the completed training. And verifying and testing the first signal transmission evaluation unit by adopting the verification set and the test set, and judging whether the accuracy accords with the preset condition or not until the first signal transmission evaluation unit which accords with the accuracy is obtained, so that the construction is completed.
Thus, M signal transmission evaluation units can be constructed. Wherein, M signal transmission evaluation units constitute signal transmission evaluation module.
And respectively inputting the current M transmission speed evaluation results and the transmission error rate and the transmission time delay in the M signal transmission characteristic information sets into M signal transmission evaluation units to obtain M signal transmission evaluation results of the target cable for M signal transmission tasks, and completing the comprehensive evaluation of the transmission performance of the target cable for different signal transmission tasks.
According to the embodiment of the application, M signal transmission evaluation units are constructed based on the neural network and according to detection data of signal transmission in the past time, comprehensive evaluation of signal transmission performance of different signal transmission tasks is respectively carried out, and the signal transmission performance of a target cable is evaluated from multiple dimensions.
Step S500: based on the execution requirement of the M-class signal transmission task, calculating and acquiring M task importance coefficients;
step S600: and carrying out weighted calculation on the M signal transmission evaluation results by adopting the M task importance coefficients to obtain a comprehensive signal transmission detection result of the target cable.
Based on the execution requirement of the main body for carrying out signal transmission on M kinds of signal transmission tasks, calculating and obtaining M task importance coefficients, and taking the M task importance coefficients as the basis for analyzing the importance of different signal transmission tasks on the target cable, and further carrying out total calculation analysis on the signal transmission performance of the target cable according to the signal transmission evaluation results of the signal transmission tasks with different importance.
As shown in fig. 3, step S500 in the method provided by the embodiment of the present application includes:
s510: acquiring M execution times and total execution times of the M-class signal transmission tasks according to historical data of signal transmission in a past preset time range of a main body which performs signal transmission currently;
S520: and calculating the ratio of the M execution times to the total execution times to obtain the M task importance coefficients.
In the embodiment of the application, M execution times and total execution times of the main body for transmitting specific signals of M-class signal transmission tasks are obtained according to the historical data of the main body for signal transmission in the past preset time range. The total number of executions is the sum of M executions.
And calculating the ratio of the M execution times to the total execution times to obtain M task importance coefficients, namely, the more the transmission times of a specific signal of a certain signal transmission task are, the greater the task importance coefficient is.
And carrying out weighted calculation on the M signal transmission evaluation results by adopting the M task importance coefficients to obtain a comprehensive signal transmission detection result of the target cable, wherein the greater the number of times of execution of the signal transmission tasks for the main body, the greater the proportion of the signal transmission evaluation result of the signal transmission task in the comprehensive signal transmission detection result.
According to the embodiment of the application, the M task importance coefficients of the M signal transmission tasks are obtained, and the weighting calculation is carried out on the M signal transmission evaluation results, so that the signal transmission performance of the evaluation target cable can be more accurately and comprehensively detected.
In summary, the embodiment of the application has the following technical effects:
according to the intelligent detection method for cable signal transmission, provided by the embodiment of the application, multiple types of signal transmission tasks for signal transmission of the target cable are obtained, signal transmission is tested on the target cable, a signal transmission characteristic information set is obtained, then the transmission speed is estimated, further the comprehensive estimation of the signal transmission performance is carried out, multiple signal transmission estimation results are obtained, task importance coefficients are set for the importance of the target cable according to the multiple types of signal transmission tasks, and the multiple signal transmission estimation results are weighted and calculated, so that the comprehensive signal transmission detection result is obtained. According to the embodiment of the application, the signal transmission test is performed by acquiring the signal transmission tasks of the signal cable for signal transmission, and the evaluation and weighting are performed according to the characteristic information obtained by the multiple tests, so that the dimension and accuracy of signal transmission detection can be improved, the method is suitable for the signal transmission condition of the signal cable, and the technical effects of improving the comprehensiveness and accuracy of signal transmission detection of the signal cable are achieved.
Example two
Based on the same inventive concept as the intelligent detection method for cable signal transmission in the foregoing embodiments, as shown in fig. 4, the present application provides an intelligent detection system for cable signal transmission, the system comprising:
A transmission task obtaining module 11, configured to obtain M types of signal transmission tasks that need to be transmitted using a target cable, where the target cable is a cable to be detected by signal transmission, and M is an integer greater than 1;
a signal transmission testing module 12, configured to perform signal transmission testing on the target cable by using the M signal transmission tasks, and detect and obtain M signal transmission feature information sets including multiple signal transmission features, where the multiple signal transmission features include a transmission average speed, a transmission peak speed, a transmission error rate, and a transmission delay;
a transmission speed evaluation module 13, configured to input, into a transmission speed evaluation module in a cable transmission detection model, a transmission average speed and a transmission peak speed in the M signal transmission characteristic information sets, respectively, to obtain M transmission speed evaluation results;
a signal transmission evaluation module 14, configured to input the M transmission speed evaluation results and the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into a signal transmission evaluation module in the cable transmission detection model, to obtain M signal transmission evaluation results;
the task coefficient obtaining module 15 is configured to calculate and obtain M task importance coefficients based on the execution requirements of the M class signal transmission tasks;
And the detection result calculation module 16 is configured to perform weighted calculation on the M signal transmission evaluation results by using the M task importance coefficients, so as to obtain a comprehensive signal transmission detection result of the target cable.
Further, the transmission task obtaining module 11 is further configured to implement the following functions:
according to the historical data of the main body currently carrying out signal transmission in the past preset time range, a historical transmission task set is obtained;
extracting transmission signal types of transmission tasks in the historical transmission task set to obtain P transmission types, wherein P is a positive integer;
extracting the transmission signal size of the transmission task in the history transmission task set to obtain a signal size information set;
dividing the signal size information set into intervals to obtain Q signal size intervals, wherein Q is a positive integer;
and combining the P transmission types and the Q signal size intervals to obtain the M signal transmission tasks.
Further, the signal transmission testing module 12 is further configured to implement the following functions:
acquiring a plurality of first test cases according to a first signal transmission task in the M-class signal transmission task;
Performing signal transmission testing on the target cable by adopting the first test cases, and detecting and obtaining a plurality of signal transmission characteristic information sets comprising a plurality of signal transmission characteristics;
according to the signal transmission characteristic information sets, calculating and obtaining a first transmission average speed, a first transmission peak speed, a first transmission error rate and a first transmission time delay as a first signal transmission characteristic information set;
and continuing to perform signal transmission testing on the target cable according to other M-1 signal transmission tasks, and detecting and obtaining the M signal transmission characteristic information sets.
Further, the transmission speed evaluation module 13 is further configured to implement the following functions:
based on the M-class signal transmission task, acquiring M sample transmission average speed sets and M sample transmission peak speed sets, and respectively carrying out transmission speed evaluation to acquire M sample transmission speed evaluation result sets;
constructing a first transmission speed evaluation unit in a transmission speed evaluation module based on a first sample transmission average speed set and a first sample transmission peak speed set in the M sample transmission average speed sets and the M sample transmission peak speed sets, wherein the first transmission speed evaluation unit comprises a plurality of sample first coordinate points, and each sample first coordinate point corresponds to a first sample transmission speed evaluation result in the first sample transmission speed evaluation result set one by one;
Inputting a first transmission average speed and a first transmission peak value speed of a first signal transmission task into the first transmission speed evaluation unit, obtaining a first coordinate point, and obtaining K sample first coordinate points closest to the first coordinate point, wherein K is an odd number greater than or equal to 3;
obtaining K first sample transmission speed evaluation results corresponding to the K sample first coordinate points, and taking the first sample transmission speed evaluation result with the highest occurrence frequency as a first transmission speed evaluation result of a first signal transmission task;
and constructing and obtaining other M-1 transmission speed evaluation units, obtaining the signal transmission evaluation module, and obtaining other M-1 transmission speed evaluation results.
Wherein constructing a first transmission speed evaluation unit in the transmission speed evaluation module based on a first sample transmission average speed set and a first sample transmission peak speed set among the M sample transmission average speed sets and the M sample transmission peak speed sets, comprises:
constructing two mutually perpendicular coordinate axes in a first coordinate system based on the transmission average speed and the transmission peak speed;
inputting the data in the first sample transmission average speed set and the first sample transmission peak speed set into the first coordinate system to obtain a plurality of sample first coordinate points;
And marking the first coordinate points of the samples by adopting a plurality of first sample transmission speed evaluation results in the first sample transmission speed evaluation result set to obtain the first transmission speed evaluation unit.
Further, the signal transmission evaluation module 14 is further configured to implement the following functions:
based on the M-class signal transmission task, acquiring M sample transmission speed evaluation result sets, M sample transmission error rate sets and M sample transmission delay sets;
according to the M sample transmission speed evaluation result sets, the M sample transmission error rate sets and the M sample transmission time delay sets, cable transmission performance evaluation is carried out, and M sample signal transmission evaluation result sets are obtained;
respectively adopting the M sample transmission speed evaluation result sets, the M sample transmission error rate sets, the M sample transmission delay sets and the M sample signal transmission evaluation result sets as construction data, constructing and obtaining M signal transmission evaluation units meeting convergence conditions based on a feedforward neural network, wherein the M signal transmission evaluation units form the signal transmission evaluation module;
and respectively inputting the M transmission speed evaluation results and the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into the M signal transmission evaluation units to obtain the M signal transmission evaluation results.
Further, the task coefficient acquisition module 15 is further configured to implement the following functions:
acquiring M execution times and total execution times of the M-class signal transmission tasks according to historical data of signal transmission in a past preset time range of a main body which performs signal transmission currently;
and calculating the ratio of the M execution times to the total execution times to obtain the M task importance coefficients.
In the present disclosure, through the foregoing detailed description of a method for detecting cable signal transmission, those skilled in the art may clearly know a method and a system for detecting cable signal transmission in this embodiment, and for the apparatus disclosed in the embodiments, the description is relatively simple, and relevant places refer to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. An intelligent detection method for cable signal transmission, which is characterized by comprising the following steps:
acquiring M types of signal transmission tasks needing to be transmitted by adopting a target cable, wherein the target cable is a cable to be transmitted and detected, and M is an integer greater than 1;
adopting the M-type signal transmission task to perform signal transmission test on the target cable, and detecting and obtaining M signal transmission characteristic information sets comprising various signal transmission characteristics, wherein the various signal transmission characteristics comprise transmission average speed, transmission peak value speed, transmission error rate and transmission time delay;
respectively inputting the transmission average speed and the transmission peak speed in the M signal transmission characteristic information sets into a transmission speed evaluation module in a cable transmission detection model to obtain M transmission speed evaluation results;
inputting the M transmission speed evaluation results, the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into a signal transmission evaluation module in the cable transmission detection model to obtain M signal transmission evaluation results;
based on the execution requirement of the M-class signal transmission task, calculating and acquiring M task importance coefficients;
Weighting calculation is carried out on the M signal transmission evaluation results by adopting the M task importance coefficients, and a comprehensive signal transmission detection result of the target cable is obtained;
based on the execution requirement of the M-class signal transmission task, calculating and obtaining M task importance coefficients includes:
acquiring M execution times and total execution times of the M-class signal transmission tasks according to historical data of signal transmission in a past preset time range of a main body which performs signal transmission currently;
and calculating the ratio of the M execution times to the total execution times to obtain the M task importance coefficients.
2. The method of claim 1, wherein acquiring the class M signaling tasks requiring signaling with the target cable comprises:
according to the historical data of the main body currently carrying out signal transmission in the past preset time range, a historical transmission task set is obtained;
extracting transmission signal types of transmission tasks in the historical transmission task set to obtain P transmission types, wherein P is a positive integer;
extracting the transmission signal size of the transmission task in the history transmission task set to obtain a signal size information set;
Dividing the signal size information set into intervals to obtain Q signal size intervals, wherein Q is a positive integer;
and combining the P transmission types and the Q signal size intervals to obtain the M signal transmission tasks.
3. The method of claim 1, wherein performing a signaling test on the target cable using the class M signaling task comprises:
acquiring a plurality of first test cases according to a first signal transmission task in the M-class signal transmission task;
performing signal transmission testing on the target cable by adopting the first test cases, and detecting and obtaining a plurality of signal transmission characteristic information sets comprising a plurality of signal transmission characteristics;
according to the signal transmission characteristic information sets, calculating and obtaining a first transmission average speed, a first transmission peak speed, a first transmission error rate and a first transmission time delay as a first signal transmission characteristic information set;
and continuing to perform signal transmission testing on the target cable according to other M-1 signal transmission tasks, and detecting and obtaining the M signal transmission characteristic information sets.
4. The method of claim 1, wherein inputting the transmission average speed and the transmission peak speed in the M signal transmission characteristic information sets into a transmission speed evaluation module in a cable transmission detection model, respectively, to obtain M transmission speed evaluation results, comprises:
Based on the M-class signal transmission task, acquiring M sample transmission average speed sets and M sample transmission peak speed sets, and respectively carrying out transmission speed evaluation to acquire M sample transmission speed evaluation result sets;
constructing a first transmission speed evaluation unit in a transmission speed evaluation module based on a first sample transmission average speed set and a first sample transmission peak speed set in the M sample transmission average speed sets and the M sample transmission peak speed sets, wherein the first transmission speed evaluation unit comprises a plurality of sample first coordinate points, and each sample first coordinate point corresponds to a first sample transmission speed evaluation result in the first sample transmission speed evaluation result set one by one;
inputting a first transmission average speed and a first transmission peak value speed of a first signal transmission task into the first transmission speed evaluation unit, obtaining a first coordinate point, and obtaining K sample first coordinate points closest to the first coordinate point, wherein K is an odd number greater than or equal to 3;
obtaining K first sample transmission speed evaluation results corresponding to the K sample first coordinate points, and taking the first sample transmission speed evaluation result with the highest occurrence frequency as a first transmission speed evaluation result of a first signal transmission task;
And constructing and obtaining other M-1 transmission speed evaluation units, obtaining the signal transmission evaluation module, and obtaining other M-1 transmission speed evaluation results.
5. The method of claim 4, wherein constructing a first transmission speed assessment unit in the transmission speed assessment module based on the M sample transmission average speed sets and a first sample transmission average speed set and a first sample transmission peak speed set of the M sample transmission peak speed sets, comprises:
constructing two mutually perpendicular coordinate axes in a first coordinate system based on the transmission average speed and the transmission peak speed;
inputting the data in the first sample transmission average speed set and the first sample transmission peak speed set into the first coordinate system to obtain a plurality of sample first coordinate points;
and marking the first coordinate points of the samples by adopting a plurality of first sample transmission speed evaluation results in the first sample transmission speed evaluation result set to obtain the first transmission speed evaluation unit.
6. The method of claim 1, wherein inputting the M transmission speed evaluation results and the transmission error rates and the transmission delays in the M signal transmission characteristic information sets into a signal transmission evaluation module in the cable transmission detection model, obtaining M signal transmission evaluation results, comprises:
Based on the M-class signal transmission task, acquiring M sample transmission speed evaluation result sets, M sample transmission error rate sets and M sample transmission delay sets;
according to the M sample transmission speed evaluation result sets, the M sample transmission error rate sets and the M sample transmission time delay sets, cable transmission performance evaluation is carried out, and M sample signal transmission evaluation result sets are obtained;
respectively adopting the M sample transmission speed evaluation result sets, the M sample transmission error rate sets, the M sample transmission delay sets and the M sample signal transmission evaluation result sets as construction data, constructing and obtaining M signal transmission evaluation units meeting convergence conditions based on a feedforward neural network, wherein the M signal transmission evaluation units form the signal transmission evaluation module;
and respectively inputting the M transmission speed evaluation results and the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into the M signal transmission evaluation units to obtain the M signal transmission evaluation results.
7. An intelligent detection system for cable signal transmission, the system comprising:
the transmission task acquisition module is used for acquiring M types of signal transmission tasks needing to be transmitted by adopting a target cable, wherein the target cable is a cable to be transmitted and detected, and M is an integer greater than 1;
The signal transmission testing module is used for carrying out signal transmission testing on the target cable by adopting the M signal transmission tasks and detecting and obtaining M signal transmission characteristic information sets comprising various signal transmission characteristics, wherein the various signal transmission characteristics comprise transmission average speed, transmission peak value speed, transmission error rate and transmission time delay;
the transmission speed evaluation module is used for respectively inputting the transmission average speed and the transmission peak value speed in the M signal transmission characteristic information sets into the transmission speed evaluation module in the cable transmission detection model to obtain M transmission speed evaluation results;
the signal transmission evaluation module is used for inputting the M transmission speed evaluation results, the transmission error rate and the transmission delay in the M signal transmission characteristic information sets into the signal transmission evaluation module in the cable transmission detection model to obtain M signal transmission evaluation results;
the task coefficient acquisition module is used for calculating and acquiring M task importance coefficients based on the execution requirements of the M class signal transmission tasks;
the detection result calculation module is used for carrying out weighted calculation on the M signal transmission evaluation results by adopting the M task importance coefficients to obtain a comprehensive signal transmission detection result of the target cable;
Based on the execution requirement of the M-class signal transmission task, calculating and obtaining M task importance coefficients includes:
acquiring M execution times and total execution times of the M-class signal transmission tasks according to historical data of signal transmission in a past preset time range of a main body which performs signal transmission currently;
and calculating the ratio of the M execution times to the total execution times to obtain the M task importance coefficients.
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