CN115865190A - 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 method based on the Internet of things. The invention considers the influence of humidity change and vibration amplitude on the corresponding return loss of the optical fiber coupler, carries out early warning on the abnormal state of the optical fiber coupler, and carries out inspection and replacement aiming at the optical fiber coupler with the abnormal state in advance, thereby effectively shortening the time of overhauling personnel for the optical fiber coupler with the 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
An optical fiber coupler is a device for movably connecting optical fibers, and precisely butt-joints two end faces of the optical fibers, and the optical fiber coupler is usually composed of two main parts which are connected together by a connecting wire in the middle, so that light energy output by a transmitting optical fiber is coupled into a receiving optical fiber to the maximum extent and is inserted into an optical link. However, in real life, optical signals in the optical fiber will generate return loss when passing through the optical fiber coupler, which will further affect the optical fiber transmission signals.
In the existing communication equipment supervision system 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 the factors influencing the return loss corresponding to the optical fiber coupler in actual life are not considered, and the use data and the surrounding environment factors corresponding to the optical fiber coupler in the use process are not considered, so that the use state of the optical fiber coupler in the subsequent 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 in the abnormal state is checked and replaced in advance, and further the prior art has the great defect that the overhaul time of the optical fiber coupler in the abnormal state is long, and the normal use of corresponding users on optical fibers is influenced.
Disclosure of Invention
The invention aims to provide a communication equipment supervision system and a 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:
the method comprises the following steps of s1, obtaining the corresponding positions of all optical fiber couplers in communication equipment and the corresponding data information of all the optical fiber couplers through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, the air humidity corresponding to different use durations, the vibration times of the optical fiber couplers and the amplitude of each vibration;
s2, combining the influence of the vibration times and the amplitude of each vibration on the optical fiber coupler under the ideal working humidity in the database, analyzing the return loss in the optical fiber transmission signal of the optical fiber coupler caused by the looseness of the optical fiber joint, and analyzing the relation between the vibration times and the amplitude of each vibration and the return loss of the optical fiber coupler, wherein the ideal working humidity is the optimal humidity range of the optical fiber coupler;
s3, acquiring a humidity influence value of the optical fiber coupler according to the humidity change condition of the environment where the optical fiber coupler is located in the database in the standard state of the optical fiber coupler, and analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler according to the return loss of 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, combined with the analysis results of the S2 and the S3, respectively predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time, 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 respectively corresponding return loss of each optical fiber coupler at 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 corresponding optical fiber coupler by the corresponding data pair,
when the calibration result of the predicted value in the data pair is less than or equal to a first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is normal, wherein the first preset value is a preset constant in the database,
and when the calibration result of the predicted value in the data pair is greater than the first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is abnormal, and early warning the relevant responsible person.
Furthermore, the positions corresponding to the optical fiber couplers in the communication equipment in the S1 are represented by longitude and latitude coordinates, the vibration amplitude of the optical fiber couplers is obtained through a vibration sensor, and data obtained by the sensor is uploaded to the Internet of things in real time.
Further, in S2, at the ideal operating temperature, the method for analyzing the relationship between the number of vibrations to which the fiber coupler is subjected and the amplitude of each vibration and the return loss includes the following steps:
s2.1, under ideal working humidity, the optical fiber coupler in the database is affected by the vibration times and the vibration amplitude of each time, the optical fiber coupler causes return loss in optical fiber transmission signals due to the looseness of the optical fiber joint,
recording the vibration amplitude of the optical fiber coupler which is subjected to the nth vibration as Qn, and recording the return loss of the optical fiber coupler in the optical fiber transmission signal caused by the looseness of the optical fiber connector of the optical fiber coupler after the optical fiber coupler is influenced by the previous n vibrations as Wn;
s2.2, obtaining a loose value An of An optical fiber joint in the optical fiber coupler after the optical fiber coupler is influenced by the previous n times of vibration,
wherein r and a are constants preset in the database, and Qn1 represents the vibration amplitude of the optical fiber coupler which is subjected to the n1 th time;
s2.3, constructing a first relation pair according to An and Wn, and marking as (An, wn);
s2.4, performing linear fitting according to a linear fitting regression equation preset in the database and each first relation pair obtained in the S2.3, wherein the obtained fitting linear function is a function corresponding to the relation between the vibration frequency of the optical fiber coupler and the amplitude of each vibration and the return loss, and is marked as G (An), and
in the process of analyzing the relationship between the vibration frequency of the optical fiber coupler and the amplitude of each vibration and the return loss at the ideal working temperature, the looseness degree of the optical fiber coupler after being influenced by the vibration frequency and the amplitude of each vibration is quantified by analyzing the looseness value, and the corresponding return loss condition of the optical fiber coupler under the condition of different looseness values is analyzed to obtain the relationship between the vibration frequency of the optical fiber coupler and the amplitude of each vibration and the return loss; fiber coupled lasers are often made up of two main parts which are then connected together by an intermediate connecting wire. The optical fiber coupler is very careful in 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 when in use, the damage of the transmission line due to pulling is avoided, and when the optical fiber coupler is vibrated, the pulling force of the transmission line in the optical fiber coupler is increased, and then the corresponding return loss of an optical fiber signal passing through the optical fiber coupler is influenced.
Further, the method for acquiring the humidity influence value of the optical fiber coupler in S3 includes the following steps:
s3.1, obtaining the maximum humidity of 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 located in the database when the optical fiber coupler is in a 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 of the optical fiber coupler,
wherein t2 represents the maximum value of the service time of the corresponding optical fiber coupler in the acquired humidity change condition of the environment where the optical fiber coupler is located,
when Bt1-bs is more than 0, F (Bt 1) = Bt1-bs,
when Bt1-bs is less than or equal to 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 of the optical fiber coupler and the return loss in the corresponding optical fiber transmission signal, and recording the return loss in the corresponding optical fiber transmission signal as W when the humidity influence value of the optical fiber coupler is BY BY And constructing a humidity return loss influence relation pair (BY, W) BY )；
S3-2, constructing a plane rectangular coordinate system by taking o as an origin, a humidity influence value as an x axis and return loss as a y axis;
s3-3, marking corresponding coordinate points in the rectangular plane coordinate system BY the corresponding humidity return loss influence relations when the BY constructed in the S3-1 is different in value, performing curve fitting on the marked coordinate points in the rectangular plane coordinate system through matlab software according to a preset relation function model in a database, and marking a function corresponding to the obtained fitting result as H (x), wherein the obtained fitting result is 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, wherein c is a first relation coefficient, c1 is a second relation coefficient, and c2 is a third relation coefficient.
In the process of analyzing the relationship 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, usually a negative value, and therefore the larger the return loss value, 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 the corresponding position of each optical fiber coupler in the communication equipment and the corresponding data information of 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 use time of the optical fiber coupler in Pk and air humidity corresponding to different use time to obtain the return loss caused by the influence of humidity when the use time of the kth optical fiber coupler is Tk, and marking as a first return loss WM1,
recording the maximum use time in the Pk as Tk, and recording the corresponding time point of the kth optical fiber coupler when the use time is Tk as the current time;
s4.3, obtaining G (An) and
combining the vibration times of the optical fiber coupler in the Pk and the amplitude of each vibration to obtain the return loss caused by the influence of vibration when the using time of the kth optical fiber coupler is Tk, and recording the return loss as a second return loss WM2;
s4.4, predicting the comprehensive return loss WZk corresponding to the kth optical fiber coupler in the communication equipment after the first unit time, wherein WZk = (Tk + tg)/Tk = (WM 1+ WM 2), and the tg represents the duration corresponding to the first unit time;
in the step S4, when the predicted values of the integrated return loss corresponding to each optical fiber coupler in the communication device after the first unit time are calibrated, the calibration result of the predicted value of the integrated return loss corresponding to the kth optical fiber coupler in the communication device after the first unit time is recorded as WZJk,
when the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time is 0, WZJk =0;
when the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time is not 0, WZJk = (WM 1+ WM 2)/WDk × WZk, where WDk represents the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time.
Communication equipment supervisory systems based on thing networking, the system includes the following module:
the data information acquisition module acquires the corresponding positions of all the optical fiber couplers in the communication equipment and the corresponding data information of all the optical fiber couplers through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, the air humidity corresponding to different use durations, the vibration times of the optical fiber couplers and the amplitude of each vibration;
the vibration influence analysis module is combined with the optical fiber coupler in the database, under the ideal working humidity, after the influence of the vibration times and the amplitude of each vibration on the optical fiber coupler is realized, the return loss of the optical fiber coupler in an optical fiber transmission signal caused by the looseness of an optical fiber joint is analyzed, the relation between the vibration times and the amplitude of each vibration on the optical fiber coupler and the return loss is analyzed, and the ideal working humidity is the optimal humidity range of the optical fiber coupler in working;
the environment humidity analysis module is used for acquiring a humidity influence value of the optical fiber coupler in combination with the humidity change condition of the environment where the optical fiber coupler is located in a standard state of the optical fiber coupler in the database, analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler in combination with the return loss of optical fiber transmission signals corresponding to different humidity influence values, and the standard state is a state where the optical fiber coupler does not vibrate;
the return loss prediction module predicts 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 environment humidity analysis module, and calibrates 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 a 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, displays the data pair on a display end, judges the calibration result of the predicted value in the data pair, and manages the corresponding optical fiber coupler according to the corresponding data pair.
Furthermore, 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 vibration amplitude of the optical fiber couplers is acquired through a vibration sensor, and data acquired by the sensor is uploaded to the Internet of things in real time.
Further, when the early warning management module manages the corresponding optical fiber coupler for the corresponding data pair, and when the calibration result of the predicted value in the data pair is less than or equal to a first preset value, the early warning management module judges that the corresponding optical fiber coupler for the corresponding data pair is normal, wherein the first preset value is a preset constant in the database,
and when the calibration result of the predicted value in the data pair is greater than the first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is abnormal, and early warning the relevant responsible person.
Compared with the prior art, the invention has the following beneficial effects: in the process of monitoring the corresponding return loss of the optical fiber coupler in the process of transmitting the optical fiber signal, the influence of humidity change and vibration amplitude on the corresponding return loss of the optical fiber coupler is considered, so that the use state of the optical fiber coupler in the subsequent unit time is predicted in advance, the abnormal state of the optical fiber coupler is early warned, the optical fiber coupler in the abnormal state is checked and replaced in advance, the overhaul time of overhaul personnel on the optical fiber coupler in the abnormal state is effectively shortened, and the normal use of the optical fiber by a user is ensured.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a communication device supervision system based on the internet of things;
fig. 2 is a schematic flow chart of the method for supervising the communication equipment based on the internet of things according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: 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 all the optical fiber couplers through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, the air humidity corresponding to different use durations, the vibration times of the optical fiber couplers and the amplitude of each vibration;
and in the S1, the positions corresponding to the optical fiber couplers in the communication equipment are represented by longitude and latitude coordinates, the vibration amplitude of the optical fiber couplers is obtained through a vibration sensor, and data obtained by the sensor is uploaded to the Internet of things in real time.
S2, combining the influence of the vibration times and the amplitude of each vibration on the optical fiber coupler under the ideal working humidity in the database, analyzing the return loss in the optical fiber transmission signal of the optical fiber coupler caused by the looseness of the optical fiber joint, and analyzing the relation between the vibration times and the amplitude of each vibration and the return loss of the optical fiber coupler, wherein the ideal working humidity is the optimal humidity range of the optical fiber coupler;
in the S2, the method for analyzing the relationship between the number of times of vibration applied to the optical fiber coupler and the amplitude of each vibration and the return loss at the ideal operating temperature includes the following steps:
s2.1, under ideal working humidity, the optical fiber coupler in the database is influenced by the vibration times and the amplitude of each vibration, the optical fiber coupler causes return loss in optical fiber transmission signals due to the looseness of an optical fiber joint,
recording the vibration amplitude of the optical fiber coupler subjected to the nth vibration as Qn, and recording the return loss of the optical fiber coupler in the optical fiber transmission signal caused by the looseness of the optical fiber joint after the optical fiber coupler is subjected to the influence of the previous n-time vibration as Wn;
s2.2, obtaining a loose value An of An optical fiber joint in the optical fiber coupler after the optical fiber coupler is influenced by the previous n times of vibration,
wherein r and a are constants preset in the database, and Qn1 represents the vibration amplitude of the optical fiber coupler which is subjected to the n1 th time;
in the embodiment, r is e, a is 1;
s2.3, constructing a first relation pair according to An and Wn, and marking as (An, wn);
s2.4, performing linear fitting according to a linear fitting regression equation preset in the database and each first relation pair obtained in the S2.3, wherein the obtained fitting linear function is a function corresponding to the relation between the vibration times of the optical fiber coupler and the amplitude of each vibration and the return loss, and is marked as G (An), and
s3, acquiring a humidity influence value of the optical fiber coupler according to the humidity change condition of the environment where the optical fiber coupler is located in the database in the standard state of the optical fiber coupler, and analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler according to the return loss of 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 acquiring the humidity influence value of the optical fiber coupler in the S3 comprises the following steps:
s3.1, obtaining the maximum humidity of 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 located in the database when the optical fiber coupler is in a 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 of the optical fiber coupler,
wherein t2 represents the maximum value of the service time of the corresponding optical fiber coupler in the acquired humidity change condition of the environment where the optical fiber coupler is located,
when Bt1-bs is more than 0, F (Bt 1) = Bt1-bs,
when Bt1-bs is less than or equal to 0, F (Bt 1) =0.
The method for analyzing the relationship between the humidity influence value and the return loss of the optical fiber coupler in the S3 comprises the following steps:
s3-1, acquiring a humidity influence value of the optical fiber coupler and the return loss in the corresponding optical fiber transmission signal, and recording the return loss in the corresponding optical fiber transmission signal as W when the humidity influence value of the optical fiber coupler is BY BY And constructing a humidity return loss influence relation pair (BY, W) BY )；
S3-2, constructing a plane rectangular coordinate system by taking o as an origin, a humidity influence value as an x axis and return loss as a y axis;
s3-3, marking corresponding coordinate points in the rectangular plane coordinate system according to the humidity return loss influence relations corresponding to the By values constructed in the S3-1 when the By values are different, performing curve fitting on the marked coordinate points in the rectangular plane coordinate system through matlab software according to a preset relation function model in a database, wherein the obtained fitting result is the relation between the humidity influence values and the return loss of the optical fiber coupler, and marking the function corresponding to the obtained fitting result as H (x);
the relation function model is y = c/(1 + e) -(x+c1) ) + c2, where c is the first relation coefficient, c1 is the second relation coefficient, and c2 is the third relation coefficient.
S4, combined with the analysis results of S2 and S3, respectively predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time, 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 respectively corresponding return loss of each optical fiber coupler at 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 the corresponding positions of all optical fiber couplers in the communication equipment and the corresponding data information of 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 use time of the optical fiber coupler in Pk and air humidity corresponding to different use time to obtain the return loss caused by the influence of humidity when the use time of the kth optical fiber coupler is Tk, and marking as a first return loss WM1,
recording the maximum use time in the Pk as Tk, and recording the corresponding time point of the kth optical fiber coupler when the use time is Tk as the current time;
s4.3, obtaining G (An) and
combining the vibration times of the optical fiber coupler in the Pk and the amplitude of each vibration to obtain the return loss caused by the influence of vibration when the using time of the kth optical fiber coupler is Tk, and recording the return loss as a second return loss WM2;
s4.4, predicting the comprehensive return loss WZk corresponding to the kth optical fiber coupler in the communication equipment after the first unit time, wherein WZk = (Tk + tg)/Tk × (WM 1+ WM 2), 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 equals 10000 hours and WM1+ WM2 equals-35 dB,
predicting the comprehensive return loss WZk = (10000 + 24)/10000 (-35) = -35.084dB corresponding to the kth optical fiber coupler in the communication equipment after the first unit time;
in the step S4, when the predicted values of the integrated return loss corresponding to each optical fiber coupler in the communication device after the first unit time are calibrated, the calibration result of the predicted value of the integrated return loss corresponding to the kth optical fiber coupler in the communication device after the first unit time is recorded as WZJk,
when the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time is 0, WZJk =0;
when the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time is not 0, WZJk = (WM 1+ WM 2)/WDk × WZk, where WDk represents the return loss corresponding to the kth optical fiber coupler in the communication equipment at 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 corresponding optical fiber coupler by the corresponding data pair,
the return loss values in this embodiment are expressed in dB, usually negative, with a typical specification range of-15 to-60 dB.
When the calibration result of the predicted value in the data pair is less than or equal to a first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is normal, wherein the first preset value is a preset constant in the database,
and when the calibration result of the predicted value in the data pair is greater than the first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is abnormal, and early warning the relevant responsible person.
Communication equipment supervisory systems based on thing networking, the system includes the following module:
the data information acquisition module acquires the corresponding positions of all the optical fiber couplers in the communication equipment and the corresponding data information of all the optical fiber couplers through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, the air humidity corresponding to different use durations, the vibration times of the optical fiber couplers and the amplitude of each vibration;
the vibration influence analysis module is combined with the optical fiber coupler in the database, under the ideal working humidity, after the influence of the vibration times and the amplitude of each vibration on the optical fiber coupler is exerted, the return loss in the optical fiber transmission signal of the optical fiber coupler caused by the looseness of the optical fiber joint is analyzed, and the relation between the vibration times and the amplitude of each vibration and the return loss of the optical fiber coupler is analyzed, wherein the ideal working humidity is the optimal humidity range of the optical fiber coupler in working;
the environment humidity analysis module is used for acquiring a humidity influence value of the optical fiber coupler in combination with the humidity change condition of the environment where the optical fiber coupler is located in a standard state of the optical fiber coupler in the database, analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler in combination with the return loss of optical fiber transmission signals corresponding to different humidity influence values, and the standard state is a state where the optical fiber coupler does not vibrate;
the return loss prediction module predicts 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 environment humidity analysis module, and calibrates 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 corresponding optical fiber coupler position to form a data pair, presents the data pair at the display end, judges the calibration result of the predicted value in the data pair, and manages the corresponding optical fiber coupler according to the corresponding data pair.
The positions corresponding to all the optical fiber couplers in the communication equipment in the data information acquisition module are represented by longitude and latitude coordinates, the vibration amplitude of the optical fiber couplers is acquired through the vibration sensor, and data acquired by the sensor is uploaded to the Internet of things in real time.
When the early warning management module manages the corresponding optical fiber coupler by the corresponding data pair, and when the calibration result of the predicted value in the data pair is less than or equal to a first preset value, the early warning management module judges that the corresponding optical fiber coupler is normal by the corresponding data pair, wherein the first preset value is a preset constant in the database,
and when the calibration result of the predicted value in the data pair is greater than the first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is abnormal, and early warning the relevant responsible person.
It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The method for supervising the communication equipment based on the Internet of things is characterized by comprising the following steps:
s1, acquiring positions corresponding to all optical fiber couplers in communication equipment and data information corresponding to all the optical fiber couplers through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, the air humidity corresponding to different use durations, the vibration times of the optical fiber couplers and the amplitude of each vibration;
s2, combining the influence of the vibration times and the amplitude of each vibration on the optical fiber coupler under the ideal working humidity in the database, analyzing the return loss in the optical fiber transmission signal of the optical fiber coupler caused by the looseness of the optical fiber joint, and analyzing the relation between the vibration times and the amplitude of each vibration and the return loss of the optical fiber coupler, wherein the ideal working humidity is the optimal humidity range of the optical fiber coupler;
s3, acquiring a humidity influence value of the optical fiber coupler according to the humidity change condition of the environment where the optical fiber coupler is located in the database in the standard state of the optical fiber coupler, and analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler according to the return loss of 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, combined with the analysis results of the S2 and the S3, respectively predicting the comprehensive return loss corresponding to each optical fiber coupler in the communication equipment after the first unit time, 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 respectively corresponding return loss of each optical fiber coupler at 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 corresponding optical fiber coupler by the corresponding data pair,
when the calibration result of the predicted value in the data pair is less than or equal to a first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is normal, wherein the first preset value is a preset constant in the database,
and when the calibration result of the predicted value in the data pair is greater than the first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is abnormal, and early warning the relevant responsible person.
2. The internet of things-based communication device supervision method according to claim 1, wherein: the positions corresponding to the optical fiber couplers in the communication equipment in the S1 are represented by longitude and latitude coordinates, the vibration amplitude of the optical fiber couplers is obtained through the vibration sensor, and data obtained by the sensor is uploaded to the Internet of things in real time.
3. The internet of things-based communication device supervision method according to claim 1, wherein: in the S2, the method for analyzing the relationship between the number of times of vibration applied to the optical fiber coupler and the amplitude of each vibration and the return loss at the ideal operating temperature includes the following steps:
s2.1, under ideal working humidity, the optical fiber coupler in the database is influenced by the vibration times and the amplitude of each vibration, the optical fiber coupler causes return loss in optical fiber transmission signals due to the looseness of an optical fiber joint,
recording the vibration amplitude of the optical fiber coupler which is subjected to the nth vibration as Qn, and recording the return loss of the optical fiber coupler in the optical fiber transmission signal caused by the looseness of the optical fiber connector of the optical fiber coupler after the optical fiber coupler is influenced by the previous n vibrations as Wn;
s2.2, obtaining a loose value An of An optical fiber joint in the optical fiber coupler after the optical fiber coupler is influenced by the previous n times of vibration,
wherein r and a are constants preset in the database, and Qn1 represents the vibration amplitude of the optical fiber coupler which is subjected to the n1 th time;
s2.3, constructing a first relation pair according to An and Wn, and marking as (An, wn);
s2.4, performing linear fitting according to a linear fitting regression equation preset in the database and each first relation pair obtained in the S2.3, wherein the obtained fitting linear function is a function corresponding to the relation between the vibration frequency of the optical fiber coupler and the amplitude of each vibration and the return loss, and is marked as G (An), and
4. the internet of things-based communication device supervision method according to claim 3, wherein: the method for acquiring the humidity influence value of the optical fiber coupler in the S3 comprises the following steps:
s3.1, obtaining the maximum humidity of 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 located in the database when the optical fiber coupler is in a 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 of the optical fiber coupler,
wherein t2 represents the maximum value of the service time of the corresponding optical fiber coupler in the acquired humidity change condition of the environment where the optical fiber coupler is located,
when Bt1-bs is more than 0, F (Bt 1) = Bt1-bs,
when Bt1-bs is less than or equal to 0, F (Bt 1) =0.
5. The internet of things-based communication device supervision method according to claim 4, wherein: the method for analyzing the relationship between the humidity influence value and the return loss of the optical fiber coupler in the S3 comprises the following steps:
s31, acquiring a humidity influence value of the optical fiber coupler and the return loss in the corresponding optical fiber transmission signal, and recording the return loss in the corresponding optical fiber transmission signal as W when the humidity influence value of the optical fiber coupler is BY BY And constructing a humidity return loss influence relation pair (BY, W) BY )；
S3-2, constructing a plane rectangular coordinate system by taking o as an origin, a humidity influence value as an x axis and return loss as a y axis;
s3-3, marking corresponding coordinate points in the rectangular plane coordinate system according to the humidity return loss influence relations corresponding to the By values constructed in the S3-1 when the By values are different, performing curve fitting on the marked coordinate points in the rectangular plane coordinate system through matlab software according to a preset relation function model in a database, wherein the obtained fitting result is the relation between the humidity influence values and the return loss of the optical fiber coupler, and marking the function corresponding to the obtained fitting result as H (x);
the relation function model is y = c/(1 + e) -(x+c1) ) + c2, where c is the first relation coefficient and c1 is the second relation coefficientAnd c2 is a third relation coefficient.
6. The internet of things-based communication device supervision method according to claim 5, 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 the corresponding positions of all optical fiber couplers in the communication equipment and the corresponding data information of 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 use time of the optical fiber coupler in Pk and air humidity corresponding to different use time to obtain the return loss caused by the influence of humidity when the use time of the kth optical fiber coupler is Tk, and marking as a first return loss WM1,
recording the maximum use time in the Pk as Tk, and recording the corresponding time point of the kth optical fiber coupler when the use time is Tk as the current time;
s4.3, obtaining G (An) and
combining the vibration times of the optical fiber coupler in the Pk and the amplitude of each vibration to obtain the return loss caused by the influence of vibration when the using time of the kth optical fiber coupler is Tk, and recording the return loss as a second return loss WM2;
s4.4, predicting the comprehensive return loss WZk corresponding to the kth optical fiber coupler in the communication equipment after the first unit time, wherein WZk = (Tk + tg)/Tk × (WM 1+ WM 2), and tg represents the duration corresponding to the first unit time;
in the step S4, when the predicted values of the integrated return loss corresponding to each optical fiber coupler in the communication device after the first unit time are calibrated, the calibration result of the predicted value of the integrated return loss corresponding to the kth optical fiber coupler in the communication device after the first unit time is recorded as WZJk,
when the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time is 0, WZJk =0;
when the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time is not 0, WZJk = (WM 1+ WM 2)/WDk × WZk, where WDk represents the return loss corresponding to the kth optical fiber coupler in the communication equipment at the current time.
7. Communication equipment supervisory systems based on thing networking, its characterized in that, the system includes the following module:
the data information acquisition module acquires the corresponding positions of all the optical fiber couplers in the communication equipment and the corresponding data information of all the optical fiber couplers through the Internet of things, wherein the data information comprises the use duration of the optical fiber couplers, the air humidity corresponding to different use durations, the vibration times of the optical fiber couplers and the amplitude of each vibration;
the vibration influence analysis module is combined with the optical fiber coupler in the database, under the ideal working humidity, after the influence of the vibration times and the amplitude of each vibration on the optical fiber coupler is realized, the return loss of the optical fiber coupler in an optical fiber transmission signal caused by the looseness of an optical fiber joint is analyzed, the relation between the vibration times and the amplitude of each vibration on the optical fiber coupler and the return loss is analyzed, and the ideal working humidity is the optimal humidity range of the optical fiber coupler in working;
the environment humidity analysis module is used for acquiring a humidity influence value of the optical fiber coupler in combination with the humidity change condition of the environment where the optical fiber coupler is located in a standard state of the optical fiber coupler in the database, analyzing the relation between the humidity influence value and the return loss of the optical fiber coupler in combination with the return loss of optical fiber transmission signals corresponding to different humidity influence values, and the standard state is a state where the optical fiber coupler does not vibrate;
the return loss prediction module predicts 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 environment humidity analysis module, and calibrates 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 corresponding optical fiber coupler position to form a data pair, presents the data pair at the display end, judges the calibration result of the predicted value in the data pair, and manages the corresponding optical fiber coupler according to the corresponding data pair.
8. The internet of things-based communication device supervision system according to claim 7, wherein: the positions corresponding to all the optical fiber couplers in the communication equipment in the data information acquisition module are represented by longitude and latitude coordinates, the vibration amplitude of the optical fiber couplers is acquired through the vibration sensor, and data acquired by the sensor is uploaded to the Internet of things in real time.
9. The internet of things-based communication device surveillance system of claim 7, wherein: when the early warning management module manages the corresponding optical fiber coupler by the corresponding data pair, and when the calibration result of the predicted value in the data pair is less than or equal to a first preset value, the early warning management module judges that the corresponding optical fiber coupler is normal by the corresponding data pair, wherein the first preset value is a preset constant in the database,
and when the calibration result of the predicted value in the data pair is greater than the first preset value, judging that the corresponding optical fiber coupler of the corresponding data pair is abnormal, and early warning the relevant responsible person.
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