CN115865190B - Communication equipment supervision system and method based on Internet of things - Google Patents
Communication equipment supervision system and method based on Internet of things Download PDFInfo
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Abstract
The invention relates to the technical field of communication equipment supervision, in particular to a communication equipment supervision system and a communication equipment supervision method based on the Internet of things. The invention gives an early warning on the abnormal state of the optical fiber coupler by considering the influence of humidity change and vibration amplitude on the return loss corresponding to the optical fiber coupler, and checks and replaces the optical fiber coupler with abnormal state in advance, thereby effectively shortening the overhauling time of overhauling personnel on the optical fiber coupler with abnormal state and ensuring the normal use of the optical fiber by users.
Description
Technical Field
The invention relates to the technical field of communication equipment supervision, in particular to a communication equipment supervision system and method based on the Internet of things.
Background
The optical fiber coupler is a device for movably connecting optical fibers, and precisely connects two end surfaces of the optical fibers, and is usually composed of two main parts, and then connected together by a connecting wire in the middle, so that the light energy output by the transmitting optical fiber is coupled into the receiving optical fiber to the maximum extent and is led to be interposed in an optical link. In real life, however, the optical signal in the optical fiber generates a return loss when passing through the optical fiber coupler, and thus affects the optical fiber transmission signal.
In the existing monitoring system of communication equipment based on the Internet of things, only the return loss corresponding to the optical fiber coupler in the process of transmitting optical fiber signals is simply monitored, but factors influencing the return loss corresponding to the optical fiber coupler in real life are not considered, the use data and surrounding environment factors corresponding to the optical fiber coupler in the use process are not considered, the use state of the optical fiber coupler in the follow-up unit time cannot be predicted in advance, the abnormal state of the optical fiber coupler cannot be early warned in advance, the optical fiber coupler with abnormal state is checked and replaced in advance, and further the prior art has larger defects, the overhaul time of the optical fiber coupler with abnormal state is longer, and the normal use of the optical fiber by corresponding users is influenced.
Disclosure of Invention
The invention aims to provide a communication equipment supervision system and method based on the Internet of things, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the method for supervising the communication equipment based on the Internet of things comprises the following steps:
s1, acquiring positions corresponding to all optical fiber couplers in communication equipment and data information corresponding to each optical fiber coupler through the Internet of things, wherein the data information comprises the use time length of the optical fiber couplers, air humidity corresponding to different use time lengths, vibration times of the optical fiber couplers and vibration amplitude of each time;
s2, analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and return loss of each vibration by combining the vibration times received by the optical fiber coupler and the return loss of the optical fiber transmission signal caused by loosening of the optical fiber connector after the optical fiber coupler in the database is affected by the vibration times received by the optical fiber coupler and the amplitude of each vibration under ideal working humidity, wherein the ideal working humidity is the optimal humidity range of the working of the optical fiber coupler;
s3, combining humidity change conditions of the environment where the optical fiber coupler is located in a standard state of the optical fiber coupler in the database, acquiring humidity influence values received by the optical fiber coupler, and analyzing the relation between the humidity influence values received by the optical fiber coupler and the return loss by combining the return loss in optical fiber transmission signals corresponding to different humidity influence values, wherein the standard state is a state that the optical fiber coupler does not vibrate;
s4, predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time by combining the analysis results of the S2 and the S3, and calibrating the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time according to the return loss corresponding to each optical fiber coupler in the current time;
s5, binding the calibration result of the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time with the corresponding optical fiber coupler position to form a data pair, presenting the data pair at a display end, judging the calibration result of the predicted value in the data pair, managing the optical fiber coupler corresponding to the corresponding data pair,
when the calibration result of the predicted value in the data pair is smaller than or equal to a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is normal, wherein the first preset value is a preset constant in a database,
when the calibration result of the predicted value in the data pair is larger than a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is abnormal, and carrying out early warning on related responsible persons.
Further, the positions corresponding to the optical fiber couplers in the communication equipment in the S1 are represented by longitude and latitude coordinates, the amplitude of vibration received by the optical fiber couplers is obtained through a vibration sensor, and data obtained by the sensor are uploaded to the Internet of things in real time.
Further, the method for analyzing the relation between the vibration times and the amplitude of each vibration and the return loss of the optical fiber coupler in the S2 under the ideal working temperature comprises the following steps:
s2.1, after the fiber coupler in the database is affected by the vibration times and the amplitude of each vibration under the ideal working humidity, the fiber coupler has return loss in the fiber transmission signal caused by loosening of the fiber connector,
the vibration amplitude of the optical fiber coupler subjected to the nth time is marked as Qn, and the return loss of the optical fiber transmission signal of the optical fiber coupler caused by loosening of the optical fiber connector after the optical fiber coupler is affected by the first n times of vibration is marked as Wn;
s2.2, obtaining a loosening value An of An optical fiber connector in the optical fiber coupler after the optical fiber coupler is affected by the previous n times of vibration,
wherein r and a are constants preset in a database, and Qn1 represents the vibration amplitude received by the optical fiber coupler for the nth time 1;
s2.3, constructing a first relation pair according to An and Wn, and marking the first relation pair as (An, wn);
s2.4, performing linear fitting according to a linear fitting regression equation preset in a database and each first relation pair acquired in S2.3, wherein the obtained fitting linear function is a function corresponding to the vibration times of the optical fiber coupler and the relation between the amplitude of each vibration and the return loss, and is recorded as G (An), and
in the process of analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration at the ideal working temperature, quantifying the loosening degree of the optical fiber coupler affected by the vibration times and the amplitude of each vibration by analyzing the loosening value, and analyzing the return loss condition of the optical fiber occasionally corresponding to the optical fiber coupler under the condition of different loosening values to obtain the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration; fiber-coupled lasers are often composed of two main parts, which are then connected together by an intermediate connecting line. The optical fiber coupler needs to be paid attention during the use process, because the transmission line in the optical fiber coupler is usually thinner, two parts of equipment need to be placed at the same height during the use process, the transmission line is prevented from being damaged by pulling, and when the optical fiber coupler is vibrated, the pulling force of the transmission line in the optical fiber coupler can be increased, so that the corresponding return loss of an optical fiber signal when the optical fiber signal passes through the optical fiber coupler can be influenced.
Further, the method for obtaining the humidity influence value of the optical fiber coupler in S3 includes the following steps:
s3.1, acquiring the maximum humidity in the ideal working humidity of the optical fiber coupler, and recording the maximum humidity as bs;
s3.2, acquiring the humidity change condition of the environment where the optical fiber coupler is positioned in the database under the standard state, recording the corresponding air humidity as Bt1 when the service time of the optical fiber coupler is t1,
s3.3, obtaining a humidity influence value BY received BY the optical fiber coupler,
wherein t2 represents the maximum value of the operating time of the corresponding optical fiber coupler in the humidity change condition of the environment where the obtained optical fiber coupler is positioned,
when Bt1-bs > 0, F (Bt 1) =Bt1-bs,
when Bt 1-bs.ltoreq.0, F (Bt 1) =0.
Further, the method for analyzing the relationship between the humidity influence value and the return loss of the optical fiber coupler in S3 includes the following steps:
s3-1, acquiring a humidity influence value received BY the optical fiber coupler and return loss in a corresponding optical fiber transmission signal, and recording the return loss in the corresponding optical fiber transmission signal as W when the humidity influence value received BY the optical fiber coupler is BY BY And constructs a humidity return loss influence relation pair (BY, W BY )；
S3-2, constructing a plane rectangular coordinate system by taking o as an origin, taking a humidity influence value as an x axis and taking return loss as a y axis;
s3-3, marking corresponding coordinate points in a plane rectangular coordinate system BY corresponding humidity return loss influence relations when BY constructed in the S3-1 is different in value, performing curve fitting on the marked coordinate points in the plane rectangular coordinate system through matlab software according to a preset relation function model in a database, and marking the corresponding function of the obtained fitting result as H (x) according to the relation between the humidity influence value and the return loss of the optical fiber coupler;
the relation function model is y=c/(1+e) -(x+c1) ) +c2, where c is a first relationship coefficient, c1 is a second relationship coefficient, and c2 is a third relationship coefficient.
In the process of analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler, the humidity range in the optimal working environment corresponding to the optical fiber coupler is considered, and when the humidity exceeds the corresponding humidity range, the position of an optical fiber interface in the optical fiber coupler is influenced, so that the return loss is reduced; the return loss value is expressed in dB, and is usually a negative value, so the larger the return loss value is, the better.
Further, the method for predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication device after the first unit time in S4 includes the following steps:
s4.1, acquiring positions corresponding to all optical fiber couplers in the communication equipment and data information corresponding to each optical fiber coupler, and recording the data information corresponding to the kth optical fiber coupler as Pk;
s4.2, obtaining H (x) and obtaining a humidity influence value of the optical fiber coupler, combining the air humidity corresponding to the service time length and different service time lengths of the optical fiber coupler in Pk to obtain the return loss caused by the influence of the humidity when the service time length of the kth optical fiber coupler is Tk, and recording the return loss as a first return loss WM1,
the maximum using time length in Pk is recorded as Tk, and the corresponding time point of the kth optical fiber coupler when the using time length is Tk is recorded as the current time;
s4.3 obtaining G (An)
Combining the vibration times of the optical fiber coupler in the Pk and the amplitude of each vibration,obtaining the return loss caused by vibration when the service time of the kth optical fiber coupler is Tk, and marking the return loss as a second return loss WM2;
s4.4, predicting the comprehensive return loss WZk corresponding to a kth optical fiber coupler in the communication equipment after the first unit time, wherein WZk = (Tk+tg)/Tk (WM1+WM2), and tg represents the duration corresponding to the first unit time;
when the predicted values of the comprehensive return loss corresponding to the optical fiber couplers in the communication equipment after the first unit time are calibrated in the S4, the calibration result of the predicted value of the comprehensive return loss corresponding to the kth optical fiber coupler in the communication equipment after the first unit time is recorded as WZJk,
when the return loss of the kth optical fiber coupler in the communication equipment corresponding to the current time is 0, WZJk=0;
when the return loss of the kth optical fiber coupler in the communication device corresponding to the current time is not 0, wzjk= (wm1+wm2)/WDk is WZk, where WDk represents the return loss of the kth optical fiber coupler in the communication device corresponding to the current time.
Communication equipment supervision system based on thing networking, the system includes following module:
the data information acquisition module acquires positions corresponding to all the optical fiber couplers in the communication equipment and data information corresponding to each optical fiber coupler through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, air humidity corresponding to different use durations, vibration times of the optical fiber couplers and the amplitude of each vibration;
the vibration influence analysis module is used for analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration in an optical fiber transmission signal caused by loosening of an optical fiber connector after the vibration times received by the optical fiber coupler and the amplitude influence of each vibration are combined with the optical fiber coupler in the database under ideal working humidity, wherein the ideal working humidity is the optimal humidity range of the working of the optical fiber coupler;
the environment humidity analysis module is used for acquiring humidity influence values received by the optical fiber couplers in combination with humidity change conditions of the environments where the optical fiber couplers are positioned in the database under the standard state, analyzing the relation between the humidity influence values received by the optical fiber couplers and return loss in optical fiber transmission signals corresponding to different humidity influence values, wherein the standard state is a state that the optical fiber couplers do not vibrate;
the return loss prediction module is used for predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time by combining the analysis results of the vibration influence analysis module and the environmental humidity analysis module, and calibrating the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time according to the return loss corresponding to each optical fiber coupler at the current time;
and the early warning management module binds the calibration result of the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time with the position of the corresponding optical fiber coupler to form a data pair, and displays the data pair on a display end, judges the calibration result of the predicted value in the data pair, and manages the optical fiber coupler corresponding to the corresponding data pair.
Further, the positions corresponding to the optical fiber couplers in the communication equipment in the data information acquisition module are represented by longitude and latitude coordinates, the amplitude of vibration received by the optical fiber couplers is acquired by the vibration sensor, and the data acquired by the sensor are uploaded to the Internet of things in real time.
Further, when the pre-warning management module manages the optical fiber coupler corresponding to the corresponding data pair, if the calibration result of the predicted value in the data pair is smaller than or equal to a first preset value, the optical fiber coupler corresponding to the corresponding data pair is judged to be normal, the first preset value is a constant preset in a database,
when the calibration result of the predicted value in the data pair is larger than a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is abnormal, and carrying out early warning on related responsible persons.
Compared with the prior art, the invention has the following beneficial effects: in the process of monitoring the return loss corresponding to the optical fiber coupler in the process of transmitting the optical fiber signal, the influence of humidity change and vibration amplitude on the return loss corresponding to the optical fiber coupler is considered, so that the use state of the optical fiber coupler in the follow-up unit time is predicted in advance, the abnormal state of the optical fiber coupler is early warned, the optical fiber coupler in abnormal state is checked and replaced in advance, the maintenance time of an maintainer on the optical fiber coupler in abnormal state is effectively shortened, and the normal use of the optical fiber by a user is ensured.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic structural diagram of a communication device supervision system based on the internet of things of the present invention;
fig. 2 is a schematic flow chart of the communication device supervision method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: the method for supervising the communication equipment based on the Internet of things comprises the following steps:
s1, acquiring positions corresponding to all optical fiber couplers in communication equipment and data information corresponding to each optical fiber coupler through the Internet of things, wherein the data information comprises the use time length of the optical fiber couplers, air humidity corresponding to different use time lengths, vibration times of the optical fiber couplers and vibration amplitude of each time;
and the positions corresponding to the optical fiber couplers in the communication equipment in the S1 are represented by longitude and latitude coordinates, the amplitude of vibration received by the optical fiber couplers is obtained through a vibration sensor, and the data obtained by the sensor is uploaded to the Internet of things in real time.
S2, analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and return loss of each vibration by combining the vibration times received by the optical fiber coupler and the return loss of the optical fiber transmission signal caused by loosening of the optical fiber connector after the optical fiber coupler in the database is affected by the vibration times received by the optical fiber coupler and the amplitude of each vibration under ideal working humidity, wherein the ideal working humidity is the optimal humidity range of the working of the optical fiber coupler;
the method for analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration in the S2 under the ideal working temperature comprises the following steps:
s2.1, after the fiber coupler in the database is affected by the vibration times and the amplitude of each vibration under the ideal working humidity, the fiber coupler has return loss in the fiber transmission signal caused by loosening of the fiber connector,
the vibration amplitude of the optical fiber coupler subjected to the nth time is marked as Qn, and the return loss of the optical fiber transmission signal of the optical fiber coupler caused by loosening of the optical fiber connector after the optical fiber coupler is affected by the first n times of vibration is marked as Wn;
s2.2, obtaining a loosening value An of An optical fiber connector in the optical fiber coupler after the optical fiber coupler is affected by the previous n times of vibration,
wherein r and a are constants preset in a database, and Qn1 represents the vibration amplitude received by the optical fiber coupler for the nth time 1;
in this embodiment, r is e, and a is 1;
s2.3, constructing a first relation pair according to An and Wn, and marking the first relation pair as (An, wn);
s2.4, according to the preset linearity in the databaseFitting regression equation and each first relation pair obtained in S2.3 to perform linear fitting, wherein the obtained fitting linear function is a function corresponding to the vibration times received by the optical fiber coupler and the relation between the amplitude of each vibration and return loss, and is recorded as G (An)
S3, combining humidity change conditions of the environment where the optical fiber coupler is located in a standard state of the optical fiber coupler in the database, acquiring humidity influence values received by the optical fiber coupler, and analyzing the relation between the humidity influence values received by the optical fiber coupler and the return loss by combining the return loss in optical fiber transmission signals corresponding to different humidity influence values, wherein the standard state is a state that the optical fiber coupler does not vibrate;
the method for obtaining the humidity influence value of the optical fiber coupler in the S3 comprises the following steps:
s3.1, acquiring the maximum humidity in the ideal working humidity of the optical fiber coupler, and recording the maximum humidity as bs;
s3.2, acquiring the humidity change condition of the environment where the optical fiber coupler is positioned in the database under the standard state, recording the corresponding air humidity as Bt1 when the service time of the optical fiber coupler is t1,
s3.3, obtaining a humidity influence value BY received BY the optical fiber coupler,
wherein t2 represents the maximum value of the operating time of the corresponding optical fiber coupler in the humidity change condition of the environment where the obtained optical fiber coupler is positioned,
when Bt1-bs > 0, F (Bt 1) =Bt1-bs,
when Bt 1-bs.ltoreq.0, F (Bt 1) =0.
The method for analyzing the relationship between the humidity influence value and the return loss suffered by the optical fiber coupler in the step S3 comprises the following steps:
s3-1, acquiring a humidity influence value received by the optical fiber couplerThe return loss in the corresponding optical fiber transmission signal is recorded as W when the humidity influence value received BY the optical fiber coupler is BY BY And constructs a humidity return loss influence relation pair (BY, W BY )；
S3-2, constructing a plane rectangular coordinate system by taking o as an origin, taking a humidity influence value as an x axis and taking return loss as a y axis;
s3-3, marking corresponding coordinate points in a plane rectangular coordinate system BY corresponding humidity return loss influence relations when BY constructed in the S3-1 is different in value, performing curve fitting on the marked coordinate points in the plane rectangular coordinate system through matlab software according to a preset relation function model in a database, and marking the corresponding function of the obtained fitting result as H (x) according to the relation between the humidity influence value and the return loss of the optical fiber coupler;
the relation function model is y=c/(1+e) -(x+c1) ) +c2, where c is a first relationship coefficient, c1 is a second relationship coefficient, and c2 is a third relationship coefficient.
S4, predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time by combining the analysis results of the S2 and the S3, and calibrating the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time according to the return loss corresponding to each optical fiber coupler in the current time;
the method for predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time in the S4 comprises the following steps:
s4.1, acquiring positions corresponding to all optical fiber couplers in the communication equipment and data information corresponding to each optical fiber coupler, and recording the data information corresponding to the kth optical fiber coupler as Pk;
s4.2, obtaining H (x) and obtaining a humidity influence value of the optical fiber coupler, combining the air humidity corresponding to the service time length and different service time lengths of the optical fiber coupler in Pk to obtain the return loss caused by the influence of the humidity when the service time length of the kth optical fiber coupler is Tk, and recording the return loss as a first return loss WM1,
the maximum using time length in Pk is recorded as Tk, and the corresponding time point of the kth optical fiber coupler when the using time length is Tk is recorded as the current time;
s4.3 obtaining G (An)
Combining the vibration times and the vibration amplitude of the optical fiber coupler in Pk to obtain the return loss caused by the vibration when the service time of the kth optical fiber coupler is Tk, and marking the return loss as a second return loss WM2;
s4.4, predicting the comprehensive return loss WZk corresponding to a kth optical fiber coupler in the communication equipment after the first unit time, wherein WZk = (Tk+tg)/Tk (WM1+WM2), and tg represents the duration corresponding to the first unit time;
the first unit time tg in this embodiment is equal to 24 hours,
if Tk is equal to 10000 hours and wm1+wm2 is equal to-35 dB,
predicting the comprehensive return loss WZk = (10000+24)/10000 (-35) = -35.084dB corresponding to the kth optical fiber coupler in the communication device after the first unit time;
when the predicted values of the comprehensive return loss corresponding to the optical fiber couplers in the communication equipment after the first unit time are calibrated in the S4, the calibration result of the predicted value of the comprehensive return loss corresponding to the kth optical fiber coupler in the communication equipment after the first unit time is recorded as WZJk,
when the return loss of the kth optical fiber coupler in the communication equipment corresponding to the current time is 0, WZJk=0;
when the return loss of the kth optical fiber coupler in the communication device corresponding to the current time is not 0, wzjk= (wm1+wm2)/WDk is WZk, where WDk represents the return loss of the kth optical fiber coupler in the communication device corresponding to the current time.
S5, binding the calibration result of the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time with the corresponding optical fiber coupler position to form a data pair, presenting the data pair at a display end, judging the calibration result of the predicted value in the data pair, managing the optical fiber coupler corresponding to the corresponding data pair,
the return loss value in this embodiment is expressed in dB, typically negative, with a typical specification range of-15 to-60 dB.
When the calibration result of the predicted value in the data pair is smaller than or equal to a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is normal, wherein the first preset value is a preset constant in a database,
when the calibration result of the predicted value in the data pair is larger than a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is abnormal, and carrying out early warning on related responsible persons.
Communication equipment supervision system based on thing networking, the system includes following module:
the data information acquisition module acquires positions corresponding to all the optical fiber couplers in the communication equipment and data information corresponding to each optical fiber coupler through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, air humidity corresponding to different use durations, vibration times of the optical fiber couplers and the amplitude of each vibration;
the vibration influence analysis module is used for analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration in an optical fiber transmission signal caused by loosening of an optical fiber connector after the vibration times received by the optical fiber coupler and the amplitude influence of each vibration are combined with the optical fiber coupler in the database under ideal working humidity, wherein the ideal working humidity is the optimal humidity range of the working of the optical fiber coupler;
the environment humidity analysis module is used for acquiring humidity influence values received by the optical fiber couplers in combination with humidity change conditions of the environments where the optical fiber couplers are positioned in the database under the standard state, analyzing the relation between the humidity influence values received by the optical fiber couplers and return loss in optical fiber transmission signals corresponding to different humidity influence values, wherein the standard state is a state that the optical fiber couplers do not vibrate;
the return loss prediction module is used for predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time by combining the analysis results of the vibration influence analysis module and the environmental humidity analysis module, and calibrating the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time according to the return loss corresponding to each optical fiber coupler at the current time;
and the early warning management module binds the calibration result of the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time with the position of the corresponding optical fiber coupler to form a data pair, and displays the data pair on a display end, judges the calibration result of the predicted value in the data pair, and manages the optical fiber coupler corresponding to the corresponding data pair.
And the positions corresponding to the optical fiber couplers in the communication equipment in the data information acquisition module are represented by longitude and latitude coordinates, the amplitude of vibration received by the optical fiber couplers is acquired by a vibration sensor, and the data acquired by the sensor is uploaded to the Internet of things in real time.
When the pre-warning management module manages the optical fiber coupler corresponding to the corresponding data pair, if the calibration result of the predicted value in the data pair is smaller than or equal to a first preset value, the optical fiber coupler corresponding to the corresponding data pair is judged to be normal, the first preset value is a constant preset in a database,
when the calibration result of the predicted value in the data pair is larger than a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is abnormal, and carrying out early warning on related responsible persons.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The communication equipment supervision method based on the Internet of things is characterized by comprising the following steps of:
s1, acquiring positions corresponding to all optical fiber couplers in communication equipment and data information corresponding to each optical fiber coupler through the Internet of things, wherein the data information comprises the use time length of the optical fiber couplers, air humidity corresponding to different use time lengths, vibration times of the optical fiber couplers and vibration amplitude of each time;
s2, analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and return loss of each vibration by combining the vibration times received by the optical fiber coupler and the return loss of the optical fiber transmission signal caused by loosening of the optical fiber connector after the optical fiber coupler in the database is affected by the vibration times received by the optical fiber coupler and the amplitude of each vibration under ideal working humidity, wherein the ideal working humidity is the optimal humidity range of the working of the optical fiber coupler;
s3, combining humidity change conditions of the environment where the optical fiber coupler is located in a standard state of the optical fiber coupler in the database, acquiring humidity influence values received by the optical fiber coupler, and analyzing the relation between the humidity influence values received by the optical fiber coupler and the return loss by combining the return loss in optical fiber transmission signals corresponding to different humidity influence values, wherein the standard state is a state that the optical fiber coupler does not vibrate;
s4, predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time by combining the analysis results of the S2 and the S3, and calibrating the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time according to the return loss corresponding to each optical fiber coupler in the current time;
s5, binding the calibration result of the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time with the corresponding optical fiber coupler position to form a data pair, presenting the data pair at a display end, judging the calibration result of the predicted value in the data pair, managing the optical fiber coupler corresponding to the corresponding data pair,
when the calibration result of the predicted value in the data pair is smaller than or equal to a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is normal, wherein the first preset value is a preset constant in a database,
when the calibration result of the predicted value in the data pair is larger than a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is abnormal, and carrying out early warning on related responsible persons;
the method for analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration in the S2 under the ideal working temperature comprises the following steps:
s2.1, after the fiber coupler in the database is affected by the vibration times and the amplitude of each vibration under the ideal working humidity, the fiber coupler has return loss in the fiber transmission signal caused by loosening of the fiber connector,
the vibration amplitude of the optical fiber coupler subjected to the nth time is marked as Qn, and the return loss of the optical fiber transmission signal of the optical fiber coupler caused by loosening of the optical fiber connector after the optical fiber coupler is affected by the first n times of vibration is marked as Wn;
s2.2, obtaining a loosening value An of An optical fiber connector in the optical fiber coupler after the optical fiber coupler is affected by the previous n times of vibration,
wherein r and a are constants preset in a database, and Qn1 represents the vibration amplitude received by the optical fiber coupler for the nth time 1;
s2.3, constructing a first relation pair according to An and Wn, and marking the first relation pair as (An, wn);
s2.4, performing linear fitting according to a linear fitting regression equation preset in a database and each first relation pair acquired in S2.3, wherein the obtained fitting linear function is a function corresponding to the vibration times of the optical fiber coupler and the relation between the amplitude of each vibration and the return loss, and is recorded as G (An), and
the method for obtaining the humidity influence value of the optical fiber coupler in the S3 comprises the following steps:
s3.1, acquiring the maximum humidity in the ideal working humidity of the optical fiber coupler, and recording the maximum humidity as bs;
s3.2, acquiring the humidity change condition of the environment where the optical fiber coupler is positioned in the database under the standard state, recording the corresponding air humidity as Bt1 when the service time of the optical fiber coupler is t1,
s3.3, obtaining a humidity influence value BY received BY the optical fiber coupler,
wherein t2 represents the maximum value of the operating time of the corresponding optical fiber coupler in the humidity change condition of the environment where the obtained optical fiber coupler is positioned,
when Bt1-bs > 0, F (Bt 1) =Bt1-bs,
when Bt 1-bs.ltoreq.0, F (Bt 1) =0;
the method for analyzing the relationship between the humidity influence value and the return loss suffered by the optical fiber coupler in the step S3 comprises the following steps:
s3-1, acquiring a humidity influence value received BY the optical fiber coupler and return loss in a corresponding optical fiber transmission signal, and recording the return loss in the corresponding optical fiber transmission signal as W when the humidity influence value received BY the optical fiber coupler is BY BY And constructs a humidity return loss influence relation pair (BY, W BY )；
S3-2, constructing a plane rectangular coordinate system by taking o as an origin, taking a humidity influence value as an x axis and taking return loss as a y axis;
s3-3, marking corresponding coordinate points in a plane rectangular coordinate system BY corresponding humidity return loss influence relations when BY constructed in the S3-1 is different in value, performing curve fitting on the marked coordinate points in the plane rectangular coordinate system through matlab software according to a preset relation function model in a database, and marking the corresponding function of the obtained fitting result as H (x) according to the relation between the humidity influence value and the return loss of the optical fiber coupler;
the relation function model is y=c (1+e -(x+c1) ) +c2, where c is a first relationship coefficient, c1 is a second relationship coefficient, and c2 is a third relationship coefficient.
2. The method for supervising the communication equipment based on the internet of things according to claim 1, wherein: and the positions corresponding to the optical fiber couplers in the communication equipment in the S1 are represented by longitude and latitude coordinates, the amplitude of vibration received by the optical fiber couplers is obtained through a vibration sensor, and the data obtained by the sensor is uploaded to the Internet of things in real time.
3. The method for supervising the communication equipment based on the internet of things according to claim 1, wherein: the method for predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time in the S4 comprises the following steps:
s4.1, acquiring positions corresponding to all optical fiber couplers in the communication equipment and data information corresponding to each optical fiber coupler, and recording the data information corresponding to the kth optical fiber coupler as Pk;
s4.2, obtaining H (x) and obtaining a humidity influence value of the optical fiber coupler, combining the air humidity corresponding to the service time length and different service time lengths of the optical fiber coupler in Pk to obtain the return loss caused by the influence of the humidity when the service time length of the kth optical fiber coupler is Tk, and recording the return loss as a first return loss WM1,
the maximum using time length in Pk is recorded as Tk, and the corresponding time point of the kth optical fiber coupler when the using time length is Tk is recorded as the current time;
s4.3 obtaining G (An)
Combining the vibration times and the vibration amplitude of the optical fiber coupler in Pk to obtain the return loss caused by the vibration when the service time of the kth optical fiber coupler is Tk, and marking the return loss as a second return loss WM2;
s4.4, predicting the comprehensive return loss WZk corresponding to a kth optical fiber coupler in the communication equipment after the first unit time, wherein WZk = (Tk+tg)/Tk (WM1+WM2), and tg represents the duration corresponding to the first unit time;
when the predicted values of the comprehensive return loss corresponding to the optical fiber couplers in the communication equipment after the first unit time are calibrated in the S4, the calibration result of the predicted value of the comprehensive return loss corresponding to the kth optical fiber coupler in the communication equipment after the first unit time is recorded as WZJk,
when the return loss of the kth optical fiber coupler in the communication equipment corresponding to the current time is 0, WZJk=0;
when the return loss of the kth optical fiber coupler in the communication device corresponding to the current time is not 0, wzjk= (wm1+wm2)/WDk is WZk, where WDk represents the return loss of the kth optical fiber coupler in the communication device corresponding to the current time.
4. An internet of things-based communication device supervision system applying the internet of things-based communication device supervision method according to any one of the claims 1-3, characterized in that the system comprises the following modules:
the data information acquisition module acquires positions corresponding to all the optical fiber couplers in the communication equipment and data information corresponding to each optical fiber coupler through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, air humidity corresponding to different use durations, vibration times of the optical fiber couplers and the amplitude of each vibration;
the vibration influence analysis module is used for analyzing the relation between the vibration times received by the optical fiber coupler and the amplitude and the return loss of each vibration in an optical fiber transmission signal caused by loosening of an optical fiber connector after the vibration times received by the optical fiber coupler and the amplitude influence of each vibration are combined with the optical fiber coupler in the database under ideal working humidity, wherein the ideal working humidity is the optimal humidity range of the working of the optical fiber coupler;
the environment humidity analysis module is used for acquiring humidity influence values received by the optical fiber couplers in combination with humidity change conditions of the environments where the optical fiber couplers are positioned in the database under the standard state, analyzing the relation between the humidity influence values received by the optical fiber couplers and return loss in optical fiber transmission signals corresponding to different humidity influence values, wherein the standard state is a state that the optical fiber couplers do not vibrate;
the return loss prediction module is used for predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time by combining the analysis results of the vibration influence analysis module and the environmental humidity analysis module, and calibrating the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time according to the return loss corresponding to each optical fiber coupler at the current time;
and the early warning management module binds the calibration result of the predicted value of the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time with the position of the corresponding optical fiber coupler to form a data pair, and displays the data pair on a display end, judges the calibration result of the predicted value in the data pair, and manages the optical fiber coupler corresponding to the corresponding data pair.
5. The internet of things-based communication device supervisory system according to claim 4, wherein: and the positions corresponding to the optical fiber couplers in the communication equipment in the data information acquisition module are represented by longitude and latitude coordinates, the amplitude of vibration received by the optical fiber couplers is acquired by a vibration sensor, and the data acquired by the sensor is uploaded to the Internet of things in real time.
6. The internet of things-based communication device supervisory system according to claim 4, wherein: when the pre-warning management module manages the optical fiber coupler corresponding to the corresponding data pair, if the calibration result of the predicted value in the data pair is smaller than or equal to a first preset value, the optical fiber coupler corresponding to the corresponding data pair is judged to be normal, the first preset value is a constant preset in a database,
when the calibration result of the predicted value in the data pair is larger than a first preset value, judging that the optical fiber coupler corresponding to the corresponding data pair is abnormal, and carrying out early warning on related responsible persons.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105486398A (en) * | 2015-12-28 | 2016-04-13 | 盐城师范学院 | Fiber low-frequency vibration sensor |
| CN108955857A (en) * | 2018-06-29 | 2018-12-07 | 余姚舜宇智能光学技术有限公司 | A kind of difference interference light channel structure and laser vibration measurer based on optical fiber |
| CN208752750U (en) * | 2018-09-17 | 2019-04-16 | 缪圣凯 | A kind of network edition vibration optical cable alarm |
| CN109752684A (en) * | 2018-12-25 | 2019-05-14 | 北京航天时代光电科技有限公司 | A kind of optical-electric module negative testing method and fault diagnosis method of discrimination |
| CN110619727A (en) * | 2019-09-10 | 2019-12-27 | 珠海市联电科技有限公司 | Underground power cable external damage prevention early warning system based on optical fiber vibration sensing technology |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6668105B2 (en) * | 2000-07-27 | 2003-12-23 | Systems Planning & Analysis, Inc. | Fiber optic strain sensor |
-
2022
- 2022-11-18 CN CN202211451919.3A patent/CN115865190B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105486398A (en) * | 2015-12-28 | 2016-04-13 | 盐城师范学院 | Fiber low-frequency vibration sensor |
| CN108955857A (en) * | 2018-06-29 | 2018-12-07 | 余姚舜宇智能光学技术有限公司 | A kind of difference interference light channel structure and laser vibration measurer based on optical fiber |
| CN208752750U (en) * | 2018-09-17 | 2019-04-16 | 缪圣凯 | A kind of network edition vibration optical cable alarm |
| CN109752684A (en) * | 2018-12-25 | 2019-05-14 | 北京航天时代光电科技有限公司 | A kind of optical-electric module negative testing method and fault diagnosis method of discrimination |
| CN110619727A (en) * | 2019-09-10 | 2019-12-27 | 珠海市联电科技有限公司 | Underground power cable external damage prevention early warning system based on optical fiber vibration sensing technology |
Non-Patent Citations (5)
| Title |
|---|
| 光纤器件回波损耗测量系统分析;王梦勋;航空计测技术(第03期);全文 * |
| 基于FPGA的光纤光栅动态解调系统研制;田园;《中国优秀硕士学位论文全文数据库基础科学辑》(第9期);A005-194 * |
| 基于耦合模理论的光纤耦合器应变特性研究;马宾;隋青美;徐健;;传感技术学报(第09期);全文 * |
| 平坦型掺铒光纤光源温度与振动性能优化设计与实现;张恩康;《中国博士学位论文全文数据库 基础科学辑》(第5期);A005-28 * |
| 长周期光纤光栅理论及传感技术研究;姜明顺;《中国博士学位论文全文数据库信息科技辑》(第8期);I135-12 * |
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