CN115865190B - Monitoring system and method for communication equipment based on internet of things - Google Patents

Abstract

The present 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. The system includes a return loss prediction module, and the return loss prediction module predicts each optical fiber in the communication equipment after the first unit time. The comprehensive return loss corresponding to the couplers respectively, and according to the return loss corresponding to each fiber coupler at the current time, the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication equipment after the first unit time is calibrated . The present invention takes into account the influence of humidity change and vibration amplitude on the corresponding return loss of the fiber coupler, provides early warning of the abnormal state of the fiber coupler, checks and replaces the fiber coupler with an abnormal state in advance, and effectively shortens maintenance personnel's attention to the state. Abnormal fiber coupler maintenance time to ensure the normal use of optical fiber by users.

Description

Monitoring system and method for communication equipment based on internet of things

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 technique

Optical fiber coupler is a device for active connection between optical fiber and optical fiber. It precisely connects the two end faces of optical fiber. Optical fiber coupler is usually composed of two main parts, and then connected together by the connecting wire in the middle. , so that the optical energy output by the transmitting fiber can be coupled into the receiving fiber to the maximum extent, and make it intervene in the optical link. However, in real life, the optical signal in the optical fiber will produce return loss when passing through the optical fiber coupler, which will affect the optical fiber transmission signal.

In the existing communication equipment monitoring system based on the Internet of Things, the return loss corresponding to the optical fiber coupler during the transmission of optical fiber signals is simply monitored, but it does not take into account the influence of the actual life on the corresponding return loss of the optical fiber coupler. factors, and does not consider the use data and surrounding environmental factors corresponding to the fiber coupler during use, so it is impossible to predict the use status of the fiber coupler in the subsequent unit time in advance, and it is impossible to give early warning of the abnormal state of the fiber coupler , check and replace the fiber coupler with abnormal state in advance, and there are relatively large defects in the existing technology, and it takes a long time to repair the fiber coupler with abnormal state, which affects the normal use of the optical fiber by the corresponding user.

Contents of the invention

The object of the present invention is to provide a system and method for monitoring communication equipment based on the Internet of Things, so as to solve the problems raised in the above-mentioned background technology.

In order to solve the above-mentioned technical problems, the present invention provides the following technical solutions: a method for supervising communication equipment based on the Internet of Things, said method comprising the following steps:

s1. Obtain the corresponding position of each fiber coupler in the communication equipment and the corresponding data information of each fiber coupler through the Internet of Things. The data information includes the use time of the fiber coupler, the air humidity corresponding to different use time, and the vibration of the fiber coupler The number of times and the amplitude of each vibration;

S2. Combined with the optical fiber coupler in the database under the ideal working humidity, after the number of vibrations and the amplitude of each vibration of the optical fiber coupler, the return loss in the optical fiber transmission signal caused by the loose fiber connector of the optical fiber coupler, analyze the optical fiber The relationship between the number of vibrations the coupler is subjected to and the amplitude of each vibration and the return loss, the ideal working humidity is the optimum humidity range for the fiber coupler to work;

S3. Combining the optical fiber coupler in the database under the standard state, the humidity change of the environment where the optical fiber coupler is located, obtain the humidity influence value received by the fiber optic coupler, and combine the return loss in the optical fiber transmission signal corresponding to the different humidity influence value, Analyzing the relationship between the humidity influence value and the return loss that the fiber coupler is subjected to, the standard state is a state where the fiber coupler does not vibrate;

S4. Combining the analysis results of S2 and S3, predict the comprehensive return loss corresponding to each fiber coupler in the communication equipment after the first unit of time, and according to the return loss corresponding to each fiber coupler at the current time, the first unit Calibrate the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication equipment after time;

S5. Bind the calibration result of the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication device after the first unit time with the position of the corresponding fiber coupler to form a data pair and present it on the display end, Judging the calibration result of the predicted value in the data pair, and managing the corresponding fiber coupler of the corresponding data pair,

When the calibration result of the predicted value in the data pair is less than or equal to the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is normal, and the first preset value is a constant preset in the database,

When the calibration result of the predicted value in the data pair is greater than the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is abnormal, and an early warning is issued to the relevant person in charge.

Further, the position corresponding to each fiber coupler in the communication device in S1 is represented by latitude and longitude coordinates, the vibration amplitude of the fiber coupler is obtained by a vibration sensor, and the data obtained by the sensor is uploaded to the Internet of Things in real time.

Further, the method for analyzing the relationship between the number of vibrations the fiber coupler is subjected to and the amplitude of each vibration and the return loss at the ideal working temperature in said S2 includes the following steps:

S2.1. Under the ideal working humidity of the fiber coupler in the database, after the number of vibrations and the amplitude of each vibration of the fiber coupler, the return loss in the fiber transmission signal caused by the loose fiber connector of the fiber coupler,

The vibration amplitude experienced by the fiber coupler for the nth time is recorded as Qn, and after the fiber coupler is affected by the first n vibrations, the return loss in the optical fiber transmission signal caused by the loose fiber connector of the fiber coupler is recorded as Wn;

S2.2. After the fiber coupler is affected by the previous n vibrations, the looseness value An of the fiber joint in the fiber coupler is obtained,

Among them, r and a are constants preset in the database, and Qn1 represents the vibration amplitude of the fiber coupler for the n1th time;

S2.3. Construct the first relationship pair according to An and Wn, denoted as (An, Wn);

S2.4. Perform linear fitting according to the linear fitting regression equation preset in the database and each first relationship obtained in S2.3. The obtained fitting linear function is the number of vibrations the fiber coupler is subjected to and the frequency of each vibration. The function corresponding to the relationship between amplitude and return loss, denoted as G(An), and

In the process of analyzing the relationship between the frequency of vibration of the fiber coupler and the amplitude of each vibration and the return loss under the ideal working temperature, the present invention analyzes the effect of the number of vibrations on the fiber coupler and the effect of each vibration by analyzing the looseness value. Quantify the degree of looseness after the amplitude is affected, and analyze the return loss corresponding to the fiber optic coupler under different looseness values, and obtain the vibration times of the fiber coupler and the relationship between the amplitude of each vibration and the return loss; Fiber-coupled lasers are often composed of two main parts, which are then connected together by a connecting wire in the middle. It is very important to pay attention to the fiber coupler during use, because the transmission line in the fiber coupler is often relatively thin. When using it, it is necessary to place the two parts of the device at the same height to avoid the transmission line Because of the pulling damage, when the fiber coupler is vibrated, the pulling force on the transmission line in the fiber coupler will be increased, which in turn will affect the corresponding return loss when the fiber signal passes through the fiber coupler.

Further, the method for obtaining the value affected by the humidity of the fiber coupler in the S3 includes the following steps:

S3.1. Obtain the maximum humidity in the ideal working humidity of the fiber coupler, denoted as bs;

S3.2. Obtain the change in humidity of the environment where the optical fiber coupler is located in the standard state of the optical fiber coupler in the database, and record the corresponding air humidity when the optical fiber coupler is used for t1 as Bt1,

S3.3. Obtain the humidity influence value BY of the optical fiber coupler,

Among them, t2 represents the maximum value of the fiber coupler usage time corresponding to the acquired humidity change of the environment where the fiber coupler is located,

When Bt1-bs>0, F(Bt1)=Bt1-bs,

When Bt1-bs≦0, F(Bt1)=0.

Further, the method for analyzing the relationship between the humidity influence value and the return loss of the optical fiber coupler in the S3 includes the following steps:

S3-1. Obtain the humidity influence value of the fiber coupler and the return loss in the corresponding optical fiber transmission signal, and record the return loss in the fiber transmission signal corresponding to the humidity influence value of the fiber coupler as BY as W _BY , and construct the humidity return loss influence relationship pair (BY, W _BY );

S3-2. Taking o as the origin, taking the humidity influence value as the x-axis and taking the return loss as the y-axis, construct a plane Cartesian coordinate system;

S3-3. Mark the corresponding coordinate points in the plane Cartesian coordinate system on the respective humidity return loss influence relationships when the BY constructed in S3-1 is different values, and according to the relationship function model preset in the database , use matlab software to perform curve fitting on each coordinate point marked in the plane Cartesian coordinate system, the obtained fitting result is the relationship between the humidity influence value of the fiber coupler and the return loss, and the obtained fitting result corresponds to the function Denote as H(x);

The relationship function model is y=c/(1+e- ^(x+c1) )+c2, where c is the first relationship coefficient, c1 is the second relationship coefficient, and c2 is the third relationship coefficient.

In the process of analyzing the relationship between the humidity influence value of the fiber coupler and the return loss, the present invention considers the humidity range in the best working environment corresponding to the fiber coupler, and when the humidity exceeds the corresponding humidity range, it will The position of the fiber interface in the fiber coupler affects the return loss; the return loss value is expressed in dB, which is usually a negative value, so the larger the return loss value, the better.

Further, the method for predicting the comprehensive return loss corresponding to each fiber coupler in the communication device after the first unit time in S4 includes the following steps:

S4.1. Obtain the position corresponding to each fiber coupler in the communication device and the data information corresponding to each fiber coupler, and record the data information corresponding to the kth fiber coupler as Pk;

S4.2, the method of obtaining H(x) and the humidity influence value that the fiber coupler is subjected to, combined with the use time of the fiber coupler in Pk and the air humidity corresponding to different use time lengths, the length of use of the k-th fiber coupler is obtained as The return loss caused by the influence of humidity at Tk is recorded as the first return loss WM1,

And the maximum service time in Pk is recorded as Tk, and the time point corresponding to the kth fiber coupler when the service time is Tk is recorded as the current time;

结合Pk中光纤耦合器的振动次数及每次振动的幅度，得到第k个光纤耦合器在使用时长为Tk时受振动影响导致的回波损耗，记为第二回波损耗WM2；S4.3. Acquire G(An) and

Combining the number of vibrations of the fiber coupler in Pk and the amplitude of each vibration, the return loss caused by the vibration of the kth fiber coupler when the length of use is Tk is obtained, which is recorded as the second return loss WM2;

S4.4. Predict the comprehensive return loss WZk corresponding to the kth optical fiber coupler in the communication device after the first unit time, said WZk=(Tk+tg)/Tk*(WM1+WM2), said tg represents the first The duration corresponding to a unit of time;

In S4, when calibrating the predicted values of the integrated return losses corresponding to the respective optical fiber couplers in the communication equipment after the first unit time, the integrated return loss corresponding to the kth optical fiber coupler in the communication equipment after the first unit time is calibrated. The calibration result of the wave loss prediction value is denoted as WZJk,

When the return loss corresponding to the kth fiber coupler in the communication device is 0 at the current time, WZJk=0;

When the return loss corresponding to the kth fiber coupler in the communication device is not 0 at the current time, WZJk=(WM1+WM2)/WDk*WZk, the WDk means that the kth fiber coupler in the communication device is at the current time Time vs. return loss.

A communication equipment supervision system based on the Internet of Things, the system includes the following modules:

A data information acquisition module, the data information acquisition module acquires the position corresponding to each fiber coupler in the communication device and the data information corresponding to each fiber coupler through the Internet of Things, and the data information includes the use time of the fiber coupler and the corresponding time length of different use The humidity of the air, the number of vibrations of the fiber coupler and the amplitude of each vibration;

Vibration impact analysis module, the vibration impact analysis module is combined with the optical fiber coupler in the database under the ideal working humidity, after the vibration frequency and the amplitude of each vibration of the optical fiber coupler, the optical fiber transmission caused by the fiber optic coupler loosening The return loss in the signal analyzes the relationship between the number of vibrations that the fiber coupler is subjected to and the amplitude of each vibration and the return loss, and the ideal operating humidity is the optimum humidity range for the fiber coupler to work;

The environmental humidity analysis module, the environmental humidity analysis module combines the optical fiber coupler in the database under the standard state, the humidity change of the environment where the optical fiber coupler is located, obtains the humidity influence value received by the optical fiber coupler, and combines the values corresponding to different humidity influence values The return loss in the optical fiber transmission signal analyzes the relationship between the humidity influence value and the return loss that the fiber coupler is subjected to, and the standard state is a state where the fiber coupler does not vibrate;

A return loss prediction module, the return loss prediction module combines the analysis results of the vibration impact analysis module and the environmental humidity analysis module to predict the comprehensive return loss corresponding to each optical fiber coupler in the communication device after the first unit time, and according to The return loss corresponding to each fiber coupler at the current time is calibrated to the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication device after the first unit time;

An early warning management module, the early warning management module binds the calibration result of the predicted value of the integrated return loss corresponding to each fiber coupler in the communication device after the first unit time with the corresponding position of the fiber coupler to form a data pair , and presented on the display end, judge the calibration result of the predicted value in the data pair, and manage the corresponding fiber coupler of the corresponding data pair.

Further, the position corresponding to each optical fiber coupler in the communication device in the data information acquisition module is represented by latitude and longitude coordinates, the vibration amplitude of the optical fiber coupler is acquired by a vibration sensor, and the data acquired by the sensor is uploaded to the Internet of Things in real time.

Further, when the early warning management module manages the fiber coupler corresponding to the corresponding data pair, when the calibration result of the predicted value in the data pair is less than or equal to the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is normal , the first preset value is a constant preset in the database,

When the calibration result of the predicted value in the data pair is greater than the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is abnormal, and an early warning is issued to the relevant person in charge.

Compared with the prior art, the beneficial effects achieved by the present invention are: in the process of monitoring the return loss corresponding to the optical fiber coupler in the process of transmitting optical fiber signals, the present invention takes into account the change of humidity and the vibration amplitude corresponding to the optical fiber coupler The impact of return loss, and then predict the use status of the fiber coupler in the subsequent unit time in advance, give early warning of the abnormal status of the fiber coupler, check and replace the fiber coupler with abnormal status in advance, effectively shorten the maintenance personnel The maintenance time for the fiber coupler with abnormal status ensures the normal use of the optical fiber by the user.

Description of drawings

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the description, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the attached picture:

Fig. 1 is a schematic structural diagram of the communication equipment monitoring system based on the Internet of Things of the present invention;

Fig. 2 is a schematic flowchart of the method for supervising communication equipment based on the Internet of Things in the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to Fig. 1-Fig. 2, the present invention provides technical scheme: the method for supervising communication equipment based on Internet of Things, described method comprises the following steps:

S1. Obtain the corresponding position of each fiber coupler in the communication device and the corresponding data information of each fiber coupler through the Internet of Things. The data information includes the use time of the fiber coupler, the air humidity corresponding to different use time, and the vibration of the fiber coupler The number of times and the amplitude of each vibration;

The position corresponding to each fiber coupler in the communication device in S1 is represented by latitude and longitude coordinates, the vibration amplitude of the fiber coupler is obtained by a vibration sensor, and the data obtained by the sensor is uploaded to the Internet of Things in real time.

S2. Combined with the optical fiber coupler in the database under the ideal working humidity, after the number of vibrations and the amplitude of each vibration of the optical fiber coupler, the return loss in the optical fiber transmission signal caused by the loose fiber connector of the optical fiber coupler, analyze the optical fiber The relationship between the number of vibrations the coupler is subjected to and the amplitude of each vibration and the return loss, the ideal working humidity is the optimum humidity range for the fiber coupler to work;

In said S2, at the ideal working temperature, the method for analyzing the number of vibrations that the fiber coupler is subjected to and the relationship between the amplitude of each vibration and the return loss includes the following steps:

S2.1. Under the ideal working humidity of the fiber coupler in the database, after the number of vibrations and the amplitude of each vibration of the fiber coupler, the return loss in the fiber transmission signal caused by the loose fiber connector of the fiber coupler,

The vibration amplitude experienced by the fiber coupler for the nth time is recorded as Qn, and after the fiber coupler is affected by the first n vibrations, the return loss in the optical fiber transmission signal caused by the loose fiber connector of the fiber coupler is recorded as Wn;

S2.2. After the fiber coupler is affected by the previous n vibrations, the looseness value An of the fiber joint in the fiber coupler is obtained,

Among them, r and a are constants preset in the database, and Qn1 represents the vibration amplitude of the fiber coupler for the n1th time;

In this embodiment, r is e, and a is 1;

S2.3. Construct the first relationship pair according to An and Wn, denoted as (An, Wn);

S2.4. Perform linear fitting according to the linear fitting regression equation preset in the database and each first relationship obtained in S2.3. The obtained fitting linear function is the number of vibrations the fiber coupler is subjected to and the frequency of each vibration. The function corresponding to the relationship between amplitude and return loss, denoted as G(An), and

S3. Combining the optical fiber coupler in the database under the standard state, the humidity change of the environment where the optical fiber coupler is located, obtain the humidity influence value received by the fiber optic coupler, and combine the return loss in the optical fiber transmission signal corresponding to the different humidity influence value, Analyzing the relationship between the humidity influence value and the return loss that the fiber coupler is subjected to, the standard state is a state where the fiber coupler does not vibrate;

The method for obtaining the value affected by the humidity of the optical fiber coupler in the S3 includes the following steps:

S3.1. Obtain the maximum humidity in the ideal working humidity of the fiber coupler, denoted as bs;

S3.2. Obtain the change in humidity of the environment where the optical fiber coupler is located in the standard state of the optical fiber coupler in the database, and record the corresponding air humidity when the optical fiber coupler is used for t1 as Bt1,

S3.3. Obtain the humidity influence value BY of the optical fiber coupler,

Among them, t2 represents the maximum value of the fiber coupler usage time corresponding to the acquired humidity change of the environment where the fiber coupler is located,

When Bt1-bs>0, F(Bt1)=Bt1-bs,

When Bt1-bs≦0, F(Bt1)=0.

The method for analyzing the relationship between the humidity influence value and the return loss that the optical fiber coupler is subjected to in the S3 includes the following steps:

S3-1. Obtain the humidity influence value of the fiber coupler and the return loss in the corresponding optical fiber transmission signal, and record the return loss in the fiber transmission signal corresponding to the humidity influence value of the fiber coupler as BY as W _BY , and construct the humidity return loss influence relationship pair (BY, W _BY );

S3-2. Taking o as the origin, taking the humidity influence value as the x-axis and taking the return loss as the y-axis, construct a plane Cartesian coordinate system;

S3-3. Mark the corresponding coordinate points in the plane Cartesian coordinate system on the respective humidity return loss influence relationships when the BY constructed in S3-1 is different values, and according to the relationship function model preset in the database , use matlab software to perform curve fitting on each coordinate point marked in the plane Cartesian coordinate system, the obtained fitting result is the relationship between the humidity influence value of the fiber coupler and the return loss, and the obtained fitting result corresponds to the function Denote as H(x);

The relationship function model is y=c/(1+e- ^(x+c1) )+c2, where c is the first relationship coefficient, c1 is the second relationship coefficient, and c2 is the third relationship coefficient.

S4. Combining the analysis results of S2 and S3, predict the comprehensive return loss corresponding to each fiber coupler in the communication equipment after the first unit of time, and according to the return loss corresponding to each fiber coupler at the current time, the first unit Calibrate the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication equipment after time;

The method for predicting the comprehensive return loss corresponding to each fiber coupler in the communication device after the first unit time in said S4 includes the following steps:

S4.1. Obtain the position corresponding to each fiber coupler in the communication device and the data information corresponding to each fiber coupler, and record the data information corresponding to the kth fiber coupler as Pk;

S4.2, the method of obtaining H(x) and the humidity influence value that the fiber coupler is subjected to, combined with the use time of the fiber coupler in Pk and the air humidity corresponding to different use time lengths, the length of use of the k-th fiber coupler is obtained as The return loss caused by the influence of humidity at Tk is recorded as the first return loss WM1,

And the maximum service time in Pk is recorded as Tk, and the time point corresponding to the kth fiber coupler when the service time is Tk is recorded as the current time;

结合Pk中光纤耦合器的振动次数及每次振动的幅度，得到第k个光纤耦合器在使用时长为Tk时受振动影响导致的回波损耗，记为第二回波损耗WM2；S4.3. Acquire G(An) and

Combining the number of vibrations of the fiber coupler in Pk and the amplitude of each vibration, the return loss caused by the vibration of the kth fiber coupler when the length of use is Tk is obtained, which is recorded as the second return loss WM2;

S4.4. Predict the comprehensive return loss WZk corresponding to the kth optical fiber coupler in the communication device after the first unit time, said WZk=(Tk+tg)/Tk*(WM1+WM2), said tg represents the first The duration corresponding to a unit of time;

In this embodiment, the first unit time tg is equal to 24 hours,

If Tk is equal to 10000 hours and WM1+WM2 is equal to -35dB,

Then predict the comprehensive return loss WZk=(10000+24)/10000*(-35)=-35.084dB corresponding to the kth fiber coupler in the communication equipment after the first unit time;

In S4, when calibrating the predicted values of the integrated return losses corresponding to the respective optical fiber couplers in the communication equipment after the first unit time, the integrated return loss corresponding to the kth optical fiber coupler in the communication equipment after the first unit time is calibrated. The calibration result of the wave loss prediction value is denoted as WZJk,

When the return loss corresponding to the kth fiber coupler in the communication device is 0 at the current time, WZJk=0;

When the return loss corresponding to the kth fiber coupler in the communication device is not 0 at the current time, WZJk=(WM1+WM2)/WDk*WZk, the WDk means that the kth fiber coupler in the communication device is at the current time Time vs. return loss.

S5. Bind the calibration result of the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication device after the first unit time with the position of the corresponding fiber coupler to form a data pair and present it on the display end, Judging the calibration result of the predicted value in the data pair, and managing the corresponding fiber coupler of the corresponding data pair,

In this embodiment, the return loss value is expressed as dB, which is usually a negative value, and the typical specification range is -15 to -60dB.

When the calibration result of the predicted value in the data pair is less than or equal to the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is normal, and the first preset value is a constant preset in the database,

When the calibration result of the predicted value in the data pair is greater than the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is abnormal, and an early warning is issued to the relevant person in charge.

A communication equipment supervision system based on the Internet of Things, the system includes the following modules:

A data information acquisition module, the data information acquisition module acquires the position corresponding to each fiber coupler in the communication device and the data information corresponding to each fiber coupler through the Internet of Things, and the data information includes the use time of the fiber coupler and the corresponding time length of different use The humidity of the air, the number of vibrations of the fiber coupler and the amplitude of each vibration;

Vibration impact analysis module, the vibration impact analysis module is combined with the optical fiber coupler in the database under the ideal working humidity, after the vibration frequency and the amplitude of each vibration of the optical fiber coupler, the optical fiber transmission caused by the fiber optic coupler loosening The return loss in the signal analyzes the relationship between the number of vibrations that the fiber coupler is subjected to and the amplitude of each vibration and the return loss, and the ideal operating humidity is the optimum humidity range for the fiber coupler to work;

The environmental humidity analysis module, the environmental humidity analysis module combines the optical fiber coupler in the database under the standard state, the humidity change of the environment where the optical fiber coupler is located, obtains the humidity influence value received by the optical fiber coupler, and combines the values corresponding to different humidity influence values The return loss in the optical fiber transmission signal analyzes the relationship between the humidity influence value and the return loss that the fiber coupler is subjected to, and the standard state is a state where the fiber coupler does not vibrate;

A return loss prediction module, the return loss prediction module combines the analysis results of the vibration impact analysis module and the environmental humidity analysis module to predict the comprehensive return loss corresponding to each optical fiber coupler in the communication device after the first unit time, and according to The return loss corresponding to each fiber coupler at the current time is calibrated to the predicted value of the comprehensive return loss corresponding to each fiber coupler in the communication device after the first unit time;

An early warning management module, the early warning management module binds the calibration result of the predicted value of the integrated return loss corresponding to each fiber coupler in the communication device after the first unit time with the corresponding position of the fiber coupler to form a data pair , and presented on the display end, judge the calibration result of the predicted value in the data pair, and manage the corresponding fiber coupler of the corresponding data pair.

The position corresponding to each optical fiber coupler in the communication device in the data information acquisition module is represented by latitude and longitude coordinates, the vibration amplitude of the optical fiber coupler 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 early warning management module manages the fiber coupler corresponding to the corresponding data pair, when the calibration result of the predicted value in the data pair is less than or equal to the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is normal, and the The first preset value is a constant preset in the database,

When the calibration result of the predicted value in the data pair is greater than the first preset value, it is judged that the fiber coupler corresponding to the corresponding data pair is abnormal, and an early warning is issued to the relevant person in charge.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device.

Finally, it should be noted that: the above is only a preferred embodiment of the present invention, and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it still The technical solutions recorded in the foregoing embodiments may be modified, or some technical features thereof may be equivalently replaced. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within 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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